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The Economic Consequences of Homelessness in The US

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<strong>The</strong> e-Advocate<br />

Monthly<br />

…a Compilation <strong>of</strong> Works on:<br />

<strong>The</strong> <strong>Economic</strong> <strong>Consequences</strong> <strong>of</strong><br />

<strong>Homelessness</strong> <strong>in</strong> <strong>The</strong> <strong>US</strong><br />

Proverbs 14:31 | Deuteronomy 15:11<br />

Proverbs 10:3 | Psalm 34:-9-10<br />

Psalm 23:1 | Philippians 4:19<br />

Matthew 25:35 | Matthew 8:20<br />

Ezekiel 16:49 | Psalm 10:17<br />

“Help<strong>in</strong>g Individuals, Organizations & Communities<br />

Achieve <strong>The</strong>ir Full Potential”<br />

Special Edition| June 2018


Turn<strong>in</strong>g the Improbable<br />

Into the Exceptional!<br />

Page 2 <strong>of</strong> 289


<strong>The</strong> Social Cost <strong>of</strong> <strong>Homelessness</strong><br />

Average Daily Number <strong>of</strong> Homeless <strong>in</strong> the <strong>US</strong> 553,742 1<br />

Average M<strong>in</strong>imum Cost per Person $30,000 2<br />

M<strong>in</strong>imum Social Cost to <strong>US</strong> taxpayers $16,612,260,000 3<br />

($332M per state)<br />

Federal Government Support for <strong>Homelessness</strong> $5,822,000,000 2<br />

($116M per state)<br />

Discrepancy $10,790,260,000<br />

($216M per state short)<br />

Solutions<br />

1. <strong>The</strong> A/F Inner-Cities Strategic Revitalization Initiative (M. Merrill)<br />

2. <strong>The</strong> A/F Strategic Hous<strong>in</strong>g Revitalization Initiative (A. Carbone)<br />

3. <strong>The</strong> A/F Balanced Home Mortgage Initiative (L. Folks)<br />

4. <strong>The</strong> A/F Jobs Tra<strong>in</strong><strong>in</strong>g Educational Redevelopment <strong>Economic</strong> Emancipation Initiative (R. Green)<br />

Note:<br />

In Silicon Valley, CA, the top 5% <strong>of</strong> the Homeless population accounts for 47% <strong>of</strong> all public costs.<br />

1<br />

U.S. Dept. <strong>of</strong> Hous<strong>in</strong>g and Urban Development<br />

2<br />

U.S. Interagency Council on <strong>Homelessness</strong><br />

3<br />

<strong>The</strong> stated costs only reflect traditional solutions, such as Emergency Shelters, Transitional Hous<strong>in</strong>g Support, and<br />

Permanent Supportive Hous<strong>in</strong>g. Costs not factored-<strong>in</strong> to these equations <strong>in</strong>clude, but are by no means limited to,<br />

the follow<strong>in</strong>g: F<strong>in</strong>ancial, Health Care, Environmental, Crim<strong>in</strong>al Justice, and Social.<br />

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<strong>The</strong> Advocacy Foundation, Inc.<br />

Help<strong>in</strong>g Individuals, Organizations & Communities<br />

Achieve <strong>The</strong>ir Full Potential<br />

S<strong>in</strong>ce its found<strong>in</strong>g <strong>in</strong> 2003, <strong>The</strong> Advocacy Foundation has become recognized as an effective<br />

provider <strong>of</strong> support to those who receive our services, hav<strong>in</strong>g real impact with<strong>in</strong> the communities<br />

we serve. We are currently engaged <strong>in</strong> community and faith-based collaborative <strong>in</strong>itiatives,<br />

hav<strong>in</strong>g the overall objective <strong>of</strong> eradicat<strong>in</strong>g all forms <strong>of</strong> youth violence and correct<strong>in</strong>g <strong>in</strong>justices<br />

everywhere. In carry<strong>in</strong>g-out these <strong>in</strong>itiatives, we have adopted the evidence-based strategic<br />

framework developed and implemented by the Office <strong>of</strong> Juvenile Justice & Del<strong>in</strong>quency<br />

Prevention (OJJDP).<br />

<strong>The</strong> stated objectives are:<br />

1. Community Mobilization;<br />

2. Social Intervention;<br />

3. Provision <strong>of</strong> Opportunities;<br />

4. Organizational Change and Development;<br />

5. Suppression [<strong>of</strong> illegal activities].<br />

Moreover, it is our most fundamental belief that <strong>in</strong> order to be effective, prevention and<br />

<strong>in</strong>tervention strategies must be Community Specific, Culturally Relevant, Evidence-Based, and<br />

Collaborative. <strong>The</strong> Violence Prevention and Intervention programm<strong>in</strong>g we employ <strong>in</strong><br />

implement<strong>in</strong>g this community-enhanc<strong>in</strong>g framework <strong>in</strong>clude the programs further described<br />

throughout our publications, programs and special projects both domestically and<br />

<strong>in</strong>ternationally.<br />

www.<strong>The</strong>Advocacy.Foundation<br />

ISBN: ......... ../2017<br />

......... Pr<strong>in</strong>ted <strong>in</strong> the <strong>US</strong>A<br />

Advocacy Foundation Publishers<br />

Philadlephia, PA<br />

(878) 222-0450 | Voice | Data | SMS<br />

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Dedication<br />

______<br />

Every publication <strong>in</strong> our many series’ is dedicated to everyone, absolutely everyone, who by<br />

virtue <strong>of</strong> their call<strong>in</strong>g and by Div<strong>in</strong>e <strong>in</strong>spiration, direction and guidance, is on the battlefield dayafter-day<br />

striv<strong>in</strong>g to follow God’s will and purpose for their lives. And this is with particular aff<strong>in</strong>ity<br />

for those Spiritual warriors who are be<strong>in</strong>g transformed <strong>in</strong>to excellence through daily academic,<br />

pr<strong>of</strong>essional, familial, and other challenges.<br />

We pray that you will bear <strong>in</strong> m<strong>in</strong>d:<br />

Matthew 19:26 (NIV)<br />

Jesus looked at them and said, "With man this is impossible,<br />

but with God all th<strong>in</strong>gs are possible." (Emphasis added)<br />

To all <strong>of</strong> us who daily look past our circumstances, and naysayers, to what the Lord says we will<br />

accomplish:<br />

Bless<strong>in</strong>gs!!<br />

- <strong>The</strong> Advocacy Foundation, Inc.<br />

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<strong>The</strong> Transformative Justice Project<br />

Eradicat<strong>in</strong>g Juvenile Del<strong>in</strong>quency Requires a Multi-Discipl<strong>in</strong>ary Approach<br />

<strong>The</strong> way we accomplish all this is a follows:<br />

<strong>The</strong> Juvenile Justice system is <strong>in</strong>credibly overloaded, and<br />

Solutions-Based programs are woefully underfunded. Our<br />

precious children, therefore, particularly young people <strong>of</strong><br />

color, <strong>of</strong>ten get the “swift” version <strong>of</strong> justice whenever they<br />

come <strong>in</strong>to contact with the law.<br />

Decisions to build prison facilities are <strong>of</strong>ten based on<br />

elementary school test results, and our country <strong>in</strong>carcerates<br />

more <strong>of</strong> its young than any other nation on earth. So we at<br />

<strong>The</strong> Foundation labor to pull our young people out <strong>of</strong> the<br />

“school to prison” pipel<strong>in</strong>e, and we then coord<strong>in</strong>ate the efforts<br />

<strong>of</strong> the legal, psychological, governmental and educational<br />

pr<strong>of</strong>essionals needed to br<strong>in</strong>g an end to del<strong>in</strong>quency.<br />

We also educate families, police, local bus<strong>in</strong>esses, elected<br />

<strong>of</strong>ficials, clergy, and schools and other stakeholders about<br />

transform<strong>in</strong>g whole communities, and we labor to change<br />

their th<strong>in</strong>k<strong>in</strong>g about the causes <strong>of</strong> del<strong>in</strong>quency with the goal<br />

<strong>of</strong> help<strong>in</strong>g them embrace the idea <strong>of</strong> restoration for the young<br />

people <strong>in</strong> our care who demonstrate repentance for their<br />

mistakes.<br />

1. We vigorously advocate for charges reductions, wherever possible, <strong>in</strong> the adjudicatory (court)<br />

process, with the ultimate goal <strong>of</strong> expungement or pardon, <strong>in</strong> order to maximize the chances for<br />

our clients to graduate high school and progress <strong>in</strong>to college, military service or the workforce<br />

without the stigma <strong>of</strong> a crim<strong>in</strong>al record;<br />

2. We then enroll each young person <strong>in</strong>to an Evidence-Based, Data-Driven Restorative Justice<br />

program designed to facilitate their rehabilitation and subsequent re<strong>in</strong>tegration back <strong>in</strong>to the<br />

community;<br />

3. While those projects are operat<strong>in</strong>g, we conduct a wide variety <strong>of</strong> ComeUnity-ReEng<strong>in</strong>eer<strong>in</strong>g<br />

sem<strong>in</strong>ars and workshops on topics rang<strong>in</strong>g from Juvenile Justice to Parental Rights, to Domestic<br />

issues to Police friendly contacts, to CBO and FBO accountability and compliance;<br />

4. Throughout the process, we encourage and ma<strong>in</strong>ta<strong>in</strong> frequent personal contact between all<br />

parties;<br />

5 Throughout the process we conduct a cont<strong>in</strong>uum <strong>of</strong> events and fundraisers designed to facilitate<br />

collaboration among pr<strong>of</strong>essionals and community stakeholders; and f<strong>in</strong>ally<br />

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6. 4 We dissem<strong>in</strong>ate Quarterly publications, like our e-Advocate series Newsletter and our e-Advocate<br />

Quarterly electronic Magaz<strong>in</strong>e to all regular donors <strong>in</strong> order to facilitate a lifelong learn<strong>in</strong>g process<br />

on the ever-evolv<strong>in</strong>g developments <strong>in</strong> the Justice system.<br />

And <strong>in</strong> addition to the help we provide for our young clients and their families, we also facilitate<br />

Community Engagement through the Restorative Justice process, thereby balanc<strong>in</strong>g the <strong>in</strong>teresrs<br />

<strong>of</strong> local bus<strong>in</strong>esses, schools, clergy, elected <strong>of</strong>ficials, police, and all <strong>in</strong>terested stakeholders. Through<br />

these efforts, relationships are rebuilt & strengthened, local bus<strong>in</strong>esses and communities are enhanced &<br />

protected from victimization, young careers are developed, and our precious young people are kept out<br />

<strong>of</strong> the prison pipel<strong>in</strong>e.<br />

This is a massive undertak<strong>in</strong>g, and we need all the help and f<strong>in</strong>ancial support you can give! We plan to<br />

help 75 young persons per quarter-year (aggregat<strong>in</strong>g to a total <strong>of</strong> 250 per year) <strong>in</strong> each jurisdiction we<br />

serve) at an average cost <strong>of</strong> under $2,500 per client, per year.*<br />

Thank you <strong>in</strong> advance for your support!<br />

* FYI:<br />

1. <strong>The</strong> national average cost to taxpayers for m<strong>in</strong>imum-security youth <strong>in</strong>carceration, is around<br />

$43,000.00 per child, per year.<br />

2. <strong>The</strong> average annual cost to taxpayers for maximun-security youth <strong>in</strong>carceration is well over<br />

$148,000.00 per child, per year.<br />

- (<strong>US</strong> News and World Report, December 9, 2014);<br />

3. In every jurisdiction <strong>in</strong> the nation, the Plea Barga<strong>in</strong> rate is above 99%.<br />

<strong>The</strong> Judicial system engages <strong>in</strong> a tri-partite balanc<strong>in</strong>g task <strong>in</strong> every s<strong>in</strong>gle one <strong>of</strong> these matters, seek<strong>in</strong>g<br />

to balance Rehabilitative Justice with Community Protection and Judicial Economy, and, although<br />

the practitioners work very hard to achieve positive outcomes, the scales are nowhere near balanced<br />

where people <strong>of</strong> color are <strong>in</strong>volved.<br />

We must reverse this trend, which is right now work<strong>in</strong>g very much aga<strong>in</strong>st the best <strong>in</strong>terests <strong>of</strong> our young.<br />

Our young people do not belong beh<strong>in</strong>d bars.<br />

- Jack Johnson<br />

4<br />

In addition to support<strong>in</strong>g our world-class programm<strong>in</strong>g and support services, all regular donors receive our Quarterly e-Newsletter<br />

(<strong>The</strong> e-Advocate), as well as <strong>The</strong> e-Advocate Quarterly Magaz<strong>in</strong>e.<br />

Page 10 <strong>of</strong> 289


<strong>The</strong> Advocacy Foundation, Inc.<br />

Help<strong>in</strong>g Individuals, Organizations & Communities<br />

Achieve <strong>The</strong>ir Full Potential<br />

…a collection <strong>of</strong> works on<br />

<strong>The</strong> <strong>Economic</strong> <strong>Consequences</strong> <strong>of</strong><br />

<strong>Homelessness</strong> <strong>in</strong> <strong>The</strong> <strong>US</strong><br />

“Turn<strong>in</strong>g the Improbable Into the Exceptional”<br />

Atlanta<br />

Philadelphia<br />

______<br />

John C Johnson III<br />

Founder & CEO<br />

Rev. Mark L. Merrill<br />

Executive Director, Northeast<br />

(878) 222-0450<br />

Voice | Data | SMS<br />

www.<strong>The</strong>Advocacy.Foundation<br />

Page 11 <strong>of</strong> 289


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Biblical Authority<br />

______<br />

Proverbs 14:31 “Whoever oppresses a poor man <strong>in</strong>sults his Maker, but he who is<br />

generous to the needy honors him.”<br />

Deuteronomy 15:11 “For there will never cease to be poor <strong>in</strong> the land. <strong>The</strong>refore I<br />

command you, ‘You shall open wide your hand to your brother, to the needy and to the<br />

poor, <strong>in</strong> your land.’”<br />

Proverbs 10:3 “<strong>The</strong> LORD does not let the righteous go hungry, but he thwarts the<br />

crav<strong>in</strong>g <strong>of</strong> the wicked.”<br />

Psalm 34:-9-10 “Oh, fear the LORD, you his sa<strong>in</strong>ts, for those who fear him have no<br />

lack! <strong>The</strong> young lions suffer want and hunger; but those who seek the LORD lack no<br />

good th<strong>in</strong>g.”<br />

Psalm 23:1 “A Psalm <strong>of</strong> David. <strong>The</strong> LORD is my shepherd; I shall not want.”<br />

Philippians 4:19 “And my God will supply every need <strong>of</strong> yours accord<strong>in</strong>g to his riches <strong>in</strong><br />

glory <strong>in</strong> Christ Jesus.”<br />

Matthew 25:35 “For I was hungry and you gave me food, I was thirsty and you gave me<br />

dr<strong>in</strong>k, I was a stranger and you welcomed me.”<br />

Matthew 8:20 “And Jesus said to him, “Foxes have holes, and birds <strong>of</strong> the air have<br />

nests, but the Son <strong>of</strong> Man has nowhere to lay his head.”<br />

Ezekiel 16:49 “Behold, this was the guilt <strong>of</strong> your sister Sodom: she and her daughters<br />

had pride, excess <strong>of</strong> food, and prosperous ease, but did not aid the poor and needy.”<br />

Psalm 10:17 “O LORD, you hear the desire <strong>of</strong> the afflicted; you will strengthen their<br />

heart; you will <strong>in</strong>cl<strong>in</strong>e your ear.”<br />

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Table <strong>of</strong> Contents<br />

…a compilation <strong>of</strong> works on<br />

<strong>The</strong> <strong>Economic</strong> <strong>Consequences</strong><br />

<strong>of</strong> <strong>Homelessness</strong> <strong>in</strong> <strong>The</strong> <strong>US</strong><br />

Biblical Authority<br />

I. Introduction: Facts About <strong>Homelessness</strong>……………………….. 17<br />

II. Unemployment…………………………………………………….. 29<br />

III. <strong>The</strong> Work<strong>in</strong>g Poor…………………………………………………. 49<br />

IV. Mental Health……………………………………………………… 79<br />

V. Affordable Hous<strong>in</strong>g……………………………………………….. 89<br />

VI. Public Assistance…………….………………………………….. 117<br />

VII. Homeless Shelters………………………………...................... 131<br />

VIII. <strong>The</strong> Crim<strong>in</strong>alization <strong>of</strong> <strong>Homelessness</strong>………………………… 157<br />

IX. Traditional Solutions…………………………………………….. 175<br />

X. <strong>The</strong> Advocacy Foundation Balanced<br />

Home Mortgage Initiative………………………………. 189<br />

XI. References……………………………………………………..... 255<br />

Attachments<br />

A. Homeless Assessment Report to Congress<br />

B. End<strong>in</strong>g Chronic <strong>Homelessness</strong><br />

C. State & Local Level Recommendations<br />

Copyright © 2018 <strong>The</strong> Advocacy Foundation, Inc. All Rights Reserved.<br />

Page 15 <strong>of</strong> 289


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I. Introduction<br />

10 Facts About <strong>Homelessness</strong><br />

10/13/2014 | Updated Dec 06, 2017<br />

By Bill Quigley<br />

Renee Delisle was one <strong>of</strong> over 3,500 homeless people <strong>in</strong> Santa Cruz when she found<br />

out she was pregnant. <strong>The</strong> Santa Cruz Sent<strong>in</strong>el reported she was turned away from a<br />

shelter because they did not have space for her. While other homeless people slept <strong>in</strong><br />

cars or under culverts, Renee ended up liv<strong>in</strong>g <strong>in</strong> an abandoned elevator shaft until her<br />

water broke.<br />

Jerome Murdough, 56, a homeless former Mar<strong>in</strong>e, was arrested for trespass <strong>in</strong> New<br />

York because he was found sleep<strong>in</strong>g <strong>in</strong> a public hous<strong>in</strong>g stairwell on a cold night. <strong>The</strong><br />

New York Times reported that one week later, Jerome died <strong>of</strong> hyperthermia <strong>in</strong> a jail cell<br />

heated to over 100 degrees.<br />

Paula Corb and her two daughters lost their home and have lived <strong>in</strong> their m<strong>in</strong>ivan for<br />

four years. <strong>The</strong>y did laundry <strong>in</strong> a church annex, went to the bathroom at gas stations,<br />

and did their studies under street lamps, accord<strong>in</strong>g to America Tonight.<br />

________<br />

Fact 1: Over half a million people are homeless. On any given night, there are over<br />

600,000 homeless people <strong>in</strong> the U.S., accord<strong>in</strong>g to the <strong>US</strong> Department <strong>of</strong> Hous<strong>in</strong>g and<br />

Urban Development (HUD). Most people are spend<strong>in</strong>g the night either <strong>in</strong> homeless<br />

Page 17 <strong>of</strong> 289


shelters or <strong>in</strong> some sort <strong>of</strong> short-term transitional hous<strong>in</strong>g. Slightly more than a third are<br />

liv<strong>in</strong>g <strong>in</strong> cars or under bridges or are <strong>in</strong> some other way liv<strong>in</strong>g unsheltered.<br />

Fact 2: One quarter <strong>of</strong> homeless people are children. HUD reports that on any given<br />

night, over 138,000 <strong>of</strong> the homeless <strong>in</strong> the U.S. are children under the age <strong>of</strong> 18.<br />

Thousands <strong>of</strong> these homeless children are unaccompanied, accord<strong>in</strong>g to HUD. Another<br />

federal program, No Child Left Beh<strong>in</strong>d, def<strong>in</strong>es “homeless children” more broadly and<br />

<strong>in</strong>cludes not just those liv<strong>in</strong>g <strong>in</strong> shelters or transitional hous<strong>in</strong>g but those who are<br />

shar<strong>in</strong>g the hous<strong>in</strong>g <strong>of</strong> other persons due to economic hardship; liv<strong>in</strong>g <strong>in</strong> cars, parks,<br />

bus or tra<strong>in</strong> stations; or await<strong>in</strong>g foster-care placement. Under this def<strong>in</strong>ition, the<br />

National Center for Homeless Education reported <strong>in</strong> September 2014 that local school<br />

districts reported there are over 1 million homeless children <strong>in</strong> public schools.<br />

Fact 3: Tens <strong>of</strong> thousands <strong>of</strong> veterans are homeless. Over 57,000 veterans are<br />

homeless each night, accord<strong>in</strong>g to HUD. Sixty percent <strong>of</strong> them are <strong>in</strong> shelters, the rest<br />

unsheltered. Nearly 5,000 are female.<br />

Fact 4: Domestic violence is a lead<strong>in</strong>g cause <strong>of</strong> homelessness among<br />

women.Accord<strong>in</strong>g to the National Law Center on <strong>Homelessness</strong> and Poverty (NLCHP),<br />

more than 90 percent <strong>of</strong> homeless women are victims <strong>of</strong> severe physical or sexual<br />

abuse, and escap<strong>in</strong>g that abuse is a lead<strong>in</strong>g cause <strong>of</strong> their homelessness.<br />

Fact 5: Many people are homeless because they cannot afford rent. <strong>The</strong> lack <strong>of</strong><br />

affordable hous<strong>in</strong>g is a primary cause <strong>of</strong> homelessness, accord<strong>in</strong>g to the NLCHP. HUD<br />

has seen its budget slashed by over 50 percent <strong>in</strong> recent decades, result<strong>in</strong>g <strong>in</strong> the loss<br />

<strong>of</strong> 10,000 units <strong>of</strong> subsidized low-<strong>in</strong>come hous<strong>in</strong>g each and every year.<br />

Fact 6: <strong>The</strong>re are fewer places for poor people to rent than before. Accord<strong>in</strong>g to the<br />

NLCHP, one eighth <strong>of</strong> the nation’s supply <strong>of</strong> low-<strong>in</strong>come hous<strong>in</strong>g has been permanently<br />

lost s<strong>in</strong>ce 2001. <strong>The</strong> U.S. needs at least 7 million more affordable apartments for low<strong>in</strong>come<br />

families, and as a result, millions <strong>of</strong> families spend more than half <strong>of</strong> their<br />

monthly <strong>in</strong>come on rent.<br />

Fact 7: In the last few years millions have lost their homes. Over 5 million<br />

homes have been foreclosed on s<strong>in</strong>ce 2008; that’s one out <strong>of</strong> every 10 homes with a<br />

mortgage. This has caused even more people to search for affordable rental property.<br />

Fact 8: <strong>The</strong> government does not help as much as you th<strong>in</strong>k. <strong>The</strong>re is enough<br />

public rental assistance to help about one out <strong>of</strong> every four extremely low-<strong>in</strong>come<br />

households. Those who do not receive help are on multi-year wait<strong>in</strong>g lists. For example,<br />

Charlotte just opened up their applications for public hous<strong>in</strong>g assistance for the first time<br />

<strong>in</strong> 14 years, and over 10,000 people applied.<br />

Fact 9: One <strong>in</strong> five homeless people suffers from untreated severe mental illness.<br />

While about 6 percent <strong>of</strong> the general population suffers from severe mental illness, 20 to<br />

25 percent <strong>of</strong> the homeless suffer from severe mental illness, accord<strong>in</strong>g to government<br />

Page 18 <strong>of</strong> 289


studies. Half <strong>of</strong> this population self-medicate and are at further risk for addiction and<br />

poor physical health. A University <strong>of</strong> Pennsylvania study track<strong>in</strong>g nearly 5,000 homeless<br />

people for two years discovered that <strong>in</strong>vest<strong>in</strong>g <strong>in</strong> comprehensive health support and<br />

treatment <strong>of</strong> physical and mental illnesses is less costly than <strong>in</strong>carceration, shelter and<br />

hospital services for the untreated homeless.<br />

Fact 10: Cities are <strong>in</strong>creas<strong>in</strong>gly mak<strong>in</strong>g homelessness a crime. A 2014 survey <strong>of</strong><br />

187 cities by the NLCHP found that 24 percent <strong>of</strong> cities make it a city-wide crime to beg<br />

<strong>in</strong> public, 33 percent make it illegal to stand around or loiter anyplace <strong>in</strong> the city, 18<br />

percent make it a crime to sleep anywhere <strong>in</strong> public, 43 percent make it illegal to sleep<br />

<strong>in</strong> your car, and 53 percent make it illegal to sit or lie down <strong>in</strong> particular public places.<br />

And the number <strong>of</strong> cities crim<strong>in</strong>aliz<strong>in</strong>g homelessness is steadily <strong>in</strong>creas<strong>in</strong>g.<br />

________<br />

Facts on <strong>Homelessness</strong><br />

Scope <strong>of</strong> <strong>Homelessness</strong> <strong>in</strong> the United States<br />

On a s<strong>in</strong>gle night <strong>in</strong> January 2017, there were 553,742 people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> the United States; 65% were sheltered <strong>in</strong>dividuals and 35% were<br />

unsheltered <strong>in</strong>dividuals.<br />

20% <strong>of</strong> those experienc<strong>in</strong>g<br />

homelessness (114,829<br />

<strong>in</strong>dividuals) were children under the<br />

age <strong>of</strong> 18.<br />

10% (53,438 <strong>in</strong>dividuals) were<br />

between the ages <strong>of</strong> 18 and 24.<br />

<br />

Of the 168,257 youth (people under<br />

24), 40,799 were unaccompanied.<br />

12% (4,800) <strong>of</strong> unaccompanied<br />

youth were m<strong>in</strong>ors under the age <strong>of</strong><br />

18.<br />

“Unaccompanied youth were<br />

more likely to be unsheltered<br />

(55%) than both all people<br />

experienc<strong>in</strong>g homelessness (35%) and all people experienc<strong>in</strong>g<br />

homelessness as <strong>in</strong>dividuals (48%).”<br />

<br />

70% (385,475) were 25 years old or older.<br />

Page 19 <strong>of</strong> 289


Two thirds <strong>of</strong> those experienc<strong>in</strong>g homelessness were <strong>in</strong>dividuals, while one third<br />

identified as a member <strong>of</strong> a family experienc<strong>in</strong>g homelessness.<br />

24% <strong>of</strong> <strong>in</strong>dividuals (86,962) and 5% <strong>of</strong> people <strong>in</strong> families (8,457) met the<br />

def<strong>in</strong>ition <strong>of</strong> chronically homeless.*<br />

Chronic homelessness among <strong>in</strong>dividuals <strong>in</strong>creased by 12% from 2016<br />

but has decl<strong>in</strong>ed overall by 27% (32,851) s<strong>in</strong>ce 2007.<br />

<br />

Nearly one quarter <strong>of</strong> <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness had chronic<br />

patterns <strong>of</strong> homelessness (86,962).<br />

70% <strong>of</strong> chronically homeless <strong>in</strong>dividuals were unsheltered, while only 48%<br />

<strong>of</strong> all <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness were unsheltered.<br />

<br />

California accounted for more than half <strong>of</strong> the nation’s unsheltered<br />

chronically homeless <strong>in</strong>dividuals (53%).<br />

<br />

40,056 veterans were experienc<strong>in</strong>g homelessness <strong>in</strong> the <strong>US</strong> (9% <strong>of</strong> all homeless<br />

adults), <strong>of</strong> which less than 10% were women.<br />

S<strong>in</strong>ce 2009, the number <strong>of</strong> homeless veterans has decreased by 45%<br />

(33,311).<br />

<br />

<br />

<strong>Homelessness</strong> nationally <strong>in</strong>creased by 0.7% between 2016 and 2017, accounted<br />

for by a 9% <strong>in</strong>crease <strong>in</strong> unsheltered homeless <strong>in</strong>dividuals and a 3% decrease <strong>in</strong><br />

sheltered homeless <strong>in</strong>dividuals. S<strong>in</strong>ce 2007, homelessness has decl<strong>in</strong>ed overall<br />

by 14%.<br />

* Chronically homeless <strong>in</strong>dividuals are <strong>in</strong>dividuals with disabilities who have either been<br />

cont<strong>in</strong>uously homeless for one year or more or who have experienced at least four<br />

episodes <strong>of</strong> homelessness <strong>in</strong> the past three years where the comb<strong>in</strong>ed length <strong>of</strong> time<br />

homeless <strong>in</strong> those occasions is at least 12 months.<br />

Scope <strong>of</strong> <strong>Homelessness</strong> <strong>in</strong> Philadelphia<br />

Each year, Philadelphia homeless outreach organizations engaged over 6,000<br />

<strong>in</strong>dividuals liv<strong>in</strong>g on the street, <strong>in</strong> cars, abandoned build<strong>in</strong>gs, tra<strong>in</strong>/bus stations,<br />

and other places not meant for human habitation.<br />

<br />

Approximately 15,000 people (<strong>in</strong>clud<strong>in</strong>g families) access shelter <strong>in</strong> Philadelphia<br />

each year. In addition, numerous <strong>in</strong>dividuals are turned away from shelter due to<br />

capacity.<br />

2015<br />

UNSHELTERED<br />

TOTAL*<br />

2015 CENTER<br />

CITY COUNT<br />

ONLY<br />

2016<br />

UNSHELTERED<br />

TOTAL*<br />

2016 CENTER<br />

CITY COUNT<br />

ONLY<br />

2017<br />

UNSHELTERED<br />

TOTAL<br />

January 510 241 525 225 799<br />

Page 20 <strong>of</strong> 289


May 620 417 712 348 903<br />

August 951 509 930 439 997<br />

November 757 445 779 458 955<br />

*Start<strong>in</strong>g <strong>in</strong> 2014, unsheltered counts <strong>in</strong>clude <strong>in</strong>creased coverage <strong>of</strong> the Kens<strong>in</strong>gton area<br />

and other communities that were not previously <strong>in</strong>cluded, caus<strong>in</strong>g street count numbers<br />

to <strong>in</strong>crease.<br />

Causes <strong>of</strong> <strong>Homelessness</strong> <strong>in</strong> Philadelphia<br />

<strong>The</strong> causes <strong>of</strong> homelessness are diverse and related to many systemic and <strong>in</strong>stitutional<br />

structures with<strong>in</strong> our country. We recognize that there are many causes <strong>of</strong><br />

homelessness and many are <strong>in</strong>terwoven. Unfortunately, there is not always good data<br />

to demonstrate the impact <strong>of</strong> these forces.<br />

For our purposes, we have chosen to highlight only a few causes <strong>of</strong> homelessness <strong>in</strong><br />

Philadelphia with support<strong>in</strong>g data<br />

1. Poverty from a lack <strong>of</strong> jobs at competitive liv<strong>in</strong>g wages.<br />

<br />

Philadelphia has a 26% poverty rate, one <strong>of</strong> the highest <strong>in</strong> the nation. Of that<br />

26%, nearly half (12.2%) are liv<strong>in</strong>g <strong>in</strong> deep poverty, with <strong>in</strong>comes below 50% <strong>of</strong><br />

the federal poverty limit.<br />

2. Disparity between hous<strong>in</strong>g costs and m<strong>in</strong>imum wage, public supports, or<br />

earned benefits.<br />

<br />

<br />

In Philadelphia, a person would have to work 106 hours per week at the<br />

m<strong>in</strong>imum hourly wage <strong>of</strong> $7.25 to afford even a modest one-bedroom apartment.<br />

Pennsylvania’s Supplemental Security Income payment is only $750 per month,<br />

while the average fair market rent for a one-bedroom apartment is $1,003 per<br />

month -- nearly double the amount <strong>of</strong> the SSI payment.<br />

Page 21 <strong>of</strong> 289


3. Lack <strong>of</strong> affordable hous<strong>in</strong>g and <strong>in</strong>adequate hous<strong>in</strong>g assistance.<br />

<br />

<br />

<br />

Over half (56%) <strong>of</strong> Philadelphians pay more than 30% <strong>of</strong> their <strong>in</strong>come on rent,<br />

which is a reflection <strong>of</strong> low <strong>in</strong>comes and unavailable hous<strong>in</strong>g, rather than simply<br />

high rent costs.<br />

<strong>The</strong>re are only 41 affordable hous<strong>in</strong>g units for every 100 extremely low <strong>in</strong>come<br />

households (those mak<strong>in</strong>g $23,850 or less per year). This means 60% <strong>of</strong><br />

extremely low <strong>in</strong>come households must ma<strong>in</strong>ta<strong>in</strong> hous<strong>in</strong>g above their means, a<br />

recipe for f<strong>in</strong>ancial <strong>in</strong>stability.<br />

Roughly 154,000 Philadelphians – more than one <strong>in</strong> four – live under 30% <strong>of</strong> the<br />

Area Median Income (AMI) <strong>of</strong> $38,253.<br />

4. Lack <strong>of</strong> affordable health care.<br />

<br />

<br />

<br />

In Philadelphia, 10% <strong>of</strong> residents are without health <strong>in</strong>surance.<br />

Of the 67 counties <strong>in</strong> Pennsylvania, Philadelphia County once aga<strong>in</strong> ranked 67th<br />

(worst) for health outcomes and 67th (worst) for health factors <strong>in</strong>clud<strong>in</strong>g health<br />

behaviors, cl<strong>in</strong>ical care, social and economic factors, and physical environment.<br />

More than 10% <strong>of</strong> people who seek substance abuse or mental health treatment<br />

<strong>in</strong> our public health system are homeless.<br />

5. Inadequate support for mental health and substance use challenges.<br />

<br />

<br />

In January 2016, one <strong>in</strong> five people experienc<strong>in</strong>g homelessness had a serious<br />

mental illness, and a similar percentage had a chronic substance use disorder.<br />

Research from the Collaborative Initiative to Help End Chronic <strong>Homelessness</strong><br />

(CICH), a jo<strong>in</strong>t effort <strong>of</strong> HUD and Veterans Affairs, found that at program entry,<br />

72% <strong>of</strong> participants had a substance use disorder and 76% had a mental illness.<br />

6. Racial <strong>in</strong>equality.<br />

<br />

<br />

Accord<strong>in</strong>g to the <strong>US</strong> Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development (HUD) and<br />

the National Alliance to End <strong>Homelessness</strong>, a disproportionate number <strong>of</strong><br />

m<strong>in</strong>orities experience homelessness compared to their white counterparts.<br />

M<strong>in</strong>orities are about 1.5 times – and Black Americans 3 times – more likely to be<br />

homeless than White Americans.<br />

<strong>The</strong> rate <strong>of</strong> unsheltered homelessness among Lat<strong>in</strong>x/Hispanic <strong>in</strong>dividuals<br />

<strong>in</strong>creased by 35% <strong>in</strong> 2017, compared to a 6% <strong>in</strong>crease among the non-<br />

Lat<strong>in</strong>x/Hispanic community.<br />

Page 22 <strong>of</strong> 289


7. National opioid crisis.<br />

<br />

<br />

<br />

<br />

Follow<strong>in</strong>g national trends due to the opioid epidemic, Philadelphia experienced a<br />

drastic (78%) <strong>in</strong>crease <strong>in</strong> un<strong>in</strong>tentional drug overdose deaths. Individuals<br />

experienc<strong>in</strong>g homelessness are at an <strong>in</strong>creased risk for substance use disorders<br />

and drug overdose, a risk amplified <strong>in</strong> Philadelphia given the low cost and high<br />

potency <strong>of</strong> hero<strong>in</strong> sold on our streets.<br />

In Philadelphia, the number <strong>of</strong> deaths related to un<strong>in</strong>tentional drug overdose is<br />

2.5 times greater than the number <strong>of</strong> homicides.<br />

Accord<strong>in</strong>g to the City-sponsored Homeless Death Review Team, 87% <strong>of</strong><br />

homeless decedents from 2011-2015 had a known history <strong>of</strong> substance use or<br />

abuse. For 51% <strong>of</strong> the decedents <strong>in</strong> the same time frame, drug or alcohol<br />

<strong>in</strong>toxication was a primary or contribut<strong>in</strong>g cause <strong>of</strong> death and 50% <strong>of</strong> the<br />

decedents were known to use opioids.<br />

<strong>The</strong> rate <strong>of</strong> deaths due to un<strong>in</strong>tentional drug overdose among homeless persons<br />

doubled between 2011 and<br />

2015.<br />

8. Domestic Violence<br />

On an average night, 250<br />

<strong>in</strong>dividuals who are<br />

homeless <strong>in</strong> Philadelphia<br />

self-report as victims <strong>of</strong><br />

domestic violence.<br />

<br />

In FY15, the Philadelphia<br />

Domestic Violence Hotl<strong>in</strong>e<br />

received 14,661 calls for<br />

assistance with domestic<br />

violence issues.<br />

Solutions to <strong>Homelessness</strong><br />

At Project HOME, we believe <strong>in</strong> a<br />

holistic approach to end<strong>in</strong>g and<br />

prevent<strong>in</strong>g homelessness and<br />

poverty, <strong>in</strong>clud<strong>in</strong>g:<br />

1. Permanent Supportive Hous<strong>in</strong>g (PSH)<br />

<br />

Permanent supportive hous<strong>in</strong>g has been shown by multiple national studies to be<br />

a cost-effective solution to end<strong>in</strong>g homelessness. Sav<strong>in</strong>g Lives, Sav<strong>in</strong>g Money,<br />

Page 23 <strong>of</strong> 289


a study conducted by Project HOME <strong>in</strong> 2010, concluded that PSH saves $7,700<br />

per person per year (over the cost <strong>of</strong> serv<strong>in</strong>g an unsheltered person).<br />

<br />

Affordable hous<strong>in</strong>g is a critical component <strong>of</strong> address<strong>in</strong>g homelessness, but is<br />

<strong>in</strong>sufficient on its own. Integrat<strong>in</strong>g hous<strong>in</strong>g with case management allows<br />

residents to receive services <strong>in</strong> a timely and convenient manner. Studies have<br />

found that <strong>in</strong>dividuals and families receiv<strong>in</strong>g case management are more likely to<br />

have ma<strong>in</strong>ta<strong>in</strong>ed stable hous<strong>in</strong>g a year later.<br />

Investments <strong>in</strong> PSH have decreased chronic homelessness by 27% s<strong>in</strong>ce 2007.<br />

Project HOME <strong>of</strong>fers a range <strong>of</strong> subsidized hous<strong>in</strong>g for <strong>in</strong>dividuals and families<br />

who have experienced homelessness, <strong>in</strong>clud<strong>in</strong>g 802 units <strong>of</strong> affordable<br />

supportive hous<strong>in</strong>g, with 72 units <strong>in</strong> predevelopment and 170 units <strong>in</strong> the<br />

pipel<strong>in</strong>e.<br />

2. Opportunities for employment, <strong>in</strong>creased <strong>in</strong>come, and education.<br />

<br />

<br />

Break<strong>in</strong>g the cycle <strong>of</strong> homelessness and poverty requires not only hous<strong>in</strong>g, but<br />

susta<strong>in</strong>able, competitive employment at liv<strong>in</strong>g wages.<br />

Connection to ma<strong>in</strong>stream benefit and entitlement <strong>in</strong>come through Benephilly,<br />

Homeless Advocacy Project, and other resources is a key component <strong>of</strong><br />

prevent<strong>in</strong>g and end<strong>in</strong>g homelessness.<br />

Project HOME’s Adult Learn<strong>in</strong>g and Workforce Development Programs provide<br />

computer classes, career tra<strong>in</strong><strong>in</strong>g, job read<strong>in</strong>ess workshops, life skills<br />

workshops, GED classes, adult basic literacy classes, and access to other<br />

resources to help local residents improve their lives, ga<strong>in</strong> employment and<br />

pursue higher education.<br />

3. Affordable and accessible healthcare<br />

<br />

<br />

Health and homelessness are <strong>in</strong>extricably l<strong>in</strong>ked. Accord<strong>in</strong>g to the National<br />

Alliance to end <strong>Homelessness</strong>, an acute physical or behavioral health crisis or<br />

any long-term disabl<strong>in</strong>g condition may lead to homelessness. <strong>Homelessness</strong> also<br />

exacerbates chronic medical conditions.<br />

Often, physical healthcare or dental care can be gateways for people to accept<br />

behavioral health services, and holistic healthcare services which address the<br />

whole person are the most successful.<br />

Through Project HOME Healthcare Services, we <strong>of</strong>fer <strong>in</strong>tegrated physical and<br />

behavioral healthcare and recovery services and wellness programs for people<br />

who are currently experienc<strong>in</strong>g homelessness or those who are formerly<br />

homeless, as well as for people liv<strong>in</strong>g <strong>in</strong> the North Philadelphia community.<br />

Page 24 <strong>of</strong> 289


4. A coord<strong>in</strong>ated approach to crisis response<br />

<br />

<br />

<strong>Homelessness</strong> prevention programs can help ensure that no one ends up <strong>in</strong><br />

shelters or on the streets. This <strong>in</strong>cludes re<strong>in</strong>vest<strong>in</strong>g <strong>in</strong> economically vulnerable<br />

neighborhoods, improv<strong>in</strong>g the school system, mak<strong>in</strong>g sure people have access<br />

to health care, and provid<strong>in</strong>g jobs at a liv<strong>in</strong>g wage, as well as shelter diversion<br />

programs.<br />

A coord<strong>in</strong>ated entry system allows <strong>in</strong>dividuals to receive hous<strong>in</strong>g and services<br />

more quickly, and allows organizations to pool data <strong>in</strong> order to more accurately<br />

understand our population’s needs. Project HOME is transition<strong>in</strong>g to a Central<br />

Intake model <strong>in</strong> 2018, <strong>in</strong> tandem with the City <strong>of</strong> Philadelphia’s new Coord<strong>in</strong>ated<br />

Entry system. <strong>The</strong>se structures will allow Project HOME to place vulnerable<br />

<strong>in</strong>dividuals <strong>in</strong> appropriate hous<strong>in</strong>g a more efficient and timely manner.<br />

Project HOME works with Philadelphia’s Office <strong>of</strong> Homeless Services and<br />

Department <strong>of</strong> Behavioral Health and Intellectual disAbilities as a part <strong>of</strong> the local<br />

Cont<strong>in</strong>uum <strong>of</strong> Care - a network <strong>of</strong> government agencies, provider organizations,<br />

local stakeholders, and <strong>in</strong>dividuals currently or formerly experienc<strong>in</strong>g<br />

homelessness – to implement a strategic, city-wide response to homelessness.<br />

Current number <strong>of</strong> beds available to homeless people <strong>in</strong> Philadelphia, accord<strong>in</strong>g<br />

to the 2017 Hous<strong>in</strong>g Inventory<br />

Emergency: 3,652<br />

Transitional: 1,587<br />

Page 25 <strong>of</strong> 289


Safe Haven: 85<br />

Permanent: 6,179<br />

TOTAL: 11,503<br />

Notes<br />

It is difficult to calculate the exact number <strong>of</strong> people liv<strong>in</strong>g on the street, because many live <strong>in</strong><br />

hidden park areas, vehicles, or abandoned houses, and because numbers fluctuate based on<br />

weather.<br />

Estimated from 2016 Hous<strong>in</strong>g Inventory Chart (roughly 3,800 year-round/non-seasonal beds)<br />

times average 4 turnovers per year. City-funded shelter received approximately 10,000<br />

unduplicated <strong>in</strong>dividuals <strong>in</strong> 2015 <strong>in</strong> 2,700 beds, per James Moore.<br />

________<br />

25 Hard To Swallow Facts About <strong>Homelessness</strong><br />

Posted by Sameen, Updated on March 2, 2016<br />

<strong>Homelessness</strong> is one <strong>of</strong> those sad th<strong>in</strong>gs that every culture has had to deal with to<br />

some extent s<strong>in</strong>ce the beg<strong>in</strong>n<strong>in</strong>g <strong>of</strong> civilization. However, different cultures have<br />

addressed the issue <strong>in</strong> different ways. For example, under more socialistic<br />

governmental systems, homeless people are typically handled by the government. This<br />

<strong>in</strong>volves provid<strong>in</strong>g shelter, food, and cloth<strong>in</strong>g. Under more capitalist systems, they are<br />

typically handled by <strong>in</strong>dividuals and organizations. While neither one <strong>of</strong> these systems is<br />

better or worse, there is no system that has managed to fully get to the roots <strong>of</strong> the<br />

problem. This is just one <strong>of</strong> many sad facts about homelessness.<br />

Oftentimes homelessness starts with mental issues, post traumatic stress disorder, drug<br />

use, and disability. One possible reaction is to assume the Darw<strong>in</strong>ist position. This<br />

would say that those who cannot provide for themselves will either go hungry or not<br />

have a place to live. While most people don’t outright adhere to this position, it is <strong>of</strong>ten<br />

the underly<strong>in</strong>g assumption that many <strong>of</strong> us have, especially when we simplify the<br />

position <strong>in</strong>to lazy people and non-lazy people. Another possible position is to assume<br />

the altruist position. This would say that we should do everyth<strong>in</strong>g we can to help those<br />

who have little. It too, <strong>of</strong>ten over simplifies the problem. Not all homeless people are the<br />

same and many require different types <strong>of</strong> assistance. <strong>The</strong>se are 25 hard to swallow<br />

facts about homelessness.<br />

25 California accounts for 20% <strong>of</strong> the homeless population <strong>in</strong> the United States<br />

24 California, New York, Florida, Texas, and Massachusetts account for half <strong>of</strong> the<br />

homeless population <strong>in</strong> the <strong>US</strong><br />

23 1 out <strong>of</strong> every 50 American children will be homeless at some po<strong>in</strong>t <strong>in</strong> their lives<br />

Page 26 <strong>of</strong> 289


22 <strong>The</strong> 3 most commonly cited causes <strong>of</strong> homelessness are poverty, lack <strong>of</strong> affordable<br />

hous<strong>in</strong>g, and unemployment<br />

21 In any given year about 1 out <strong>of</strong> every 200 American adults will be homeless<br />

20 A grow<strong>in</strong>g number <strong>of</strong> anti-homelessness laws around the country has caused the<br />

United States to receive criticism from the United Nations Human Rights Committee<br />

19 At least 30 cities have crim<strong>in</strong>alized giv<strong>in</strong>g food to the homeless<br />

18 In some areas, like Hawaii, <strong>of</strong>ficials have attempted to solve homelessness by<br />

provid<strong>in</strong>g one way plane tickets elsewhere<br />

17 A study at Pr<strong>in</strong>ceton found that our bra<strong>in</strong>s tend to process images <strong>of</strong> homeless<br />

people more like they process objects than actual human be<strong>in</strong>gs<br />

16 <strong>The</strong>re is actually an entire generation <strong>of</strong> homeless Japanese youths who live and<br />

sleep <strong>in</strong> <strong>in</strong>ternet cafes<br />

15 A 59 year old homeless man <strong>in</strong> North Carol<strong>in</strong>a held up a bank for $1 <strong>in</strong> order to be<br />

sent to jail and receive healthcare<br />

14 Fatherless homes produce 70% <strong>of</strong> high school dropouts, 85% <strong>of</strong> kids <strong>in</strong> detention<br />

facilities, and 90% <strong>of</strong> homeless children<br />

13 Nearly one quarter <strong>of</strong> homeless people <strong>in</strong> the United States are veterans<br />

12 Nearly half <strong>of</strong> those veterans have a diagnosable mental illness<br />

11 <strong>The</strong>re has been a National Hobo Convention <strong>in</strong> Britt, Iowa every year for the past<br />

century. <strong>The</strong>y even crown a K<strong>in</strong>g and Queen.<br />

10 <strong>The</strong> country <strong>of</strong> Albania built hundreds <strong>of</strong> thousands <strong>of</strong> bunkers under communism.<br />

Today some <strong>of</strong> them are used to house homeless people<br />

9 Nearly 1/3 <strong>of</strong> homeless people <strong>in</strong> the United States are younger than 24<br />

8 About half <strong>of</strong> the youth on the street report that their parents knew they were leav<strong>in</strong>g<br />

but didn't care<br />

7 Sylvester Stallone was homeless and even sold his dog for $50. Not long after,<br />

however, he sold the script for Rocky and bought back his dog for $3,000<br />

6 Nearly 20% <strong>of</strong> youths will run away at least once<br />

5 HIV rates are up to 9 times higher among the homeless than <strong>in</strong> comparative samples<br />

<strong>of</strong> the population<br />

Page 27 <strong>of</strong> 289


4 While veterans, people with disabilities, and s<strong>in</strong>gle parent families have always been<br />

at risk <strong>of</strong> homelessness, these days more <strong>of</strong> the work<strong>in</strong>g class is at risk <strong>of</strong><br />

homelessness than ever before<br />

3 In some regions like Central Texas, the fastest grow<strong>in</strong>g population <strong>of</strong> homeless<br />

people is women and children<br />

2 In 2012 a homeless woman <strong>in</strong> Canada returned a purse she found that conta<strong>in</strong>ed<br />

$10,400<br />

1 <strong>The</strong>re are 5 times more vacant houses <strong>in</strong> the United States than the number <strong>of</strong><br />

homeless people<br />

Page 28 <strong>of</strong> 289


II. Unemployment<br />

Employment and <strong>Homelessness</strong><br />

Published by the National Coalition for the Homeless, July 2009<br />

This fact sheet exam<strong>in</strong>es the relationship between work and homelessness, <strong>in</strong>clud<strong>in</strong>g<br />

the contribution <strong>of</strong> unemployment, underemployment, and low wages to homelessness.<br />

It also assesses the employment barriers faced by homeless people, and strategies for<br />

overcom<strong>in</strong>g those barriers. A list <strong>of</strong> resources for further study is also provided.<br />

IMPACT OF UNEMPLOYMENT AND LOW WAGES ON HOMELESSNESS<br />

In recent years, media reports <strong>of</strong> a grow<strong>in</strong>g economy and low unemployment mask a<br />

number <strong>of</strong> important reasons why homelessness persists, and, <strong>in</strong> some areas <strong>of</strong> the<br />

country, is worsen<strong>in</strong>g. <strong>The</strong>se <strong>in</strong>clude stagnant or fall<strong>in</strong>g <strong>in</strong>comes, and less secure jobs<br />

that <strong>of</strong>fer fewer benefits.<br />

Now, as the United States experiences the worst f<strong>in</strong>ancial crisis s<strong>in</strong>ce the Great<br />

Depression, the homeless population has <strong>in</strong>creased significantly. <strong>The</strong> worsen<strong>in</strong>g<br />

Page 29 <strong>of</strong> 289


economy and ris<strong>in</strong>g unemployment numbers emphasize a number <strong>of</strong> reasons why<br />

homelessness cont<strong>in</strong>ues to exist and grow <strong>in</strong> exponential numbers <strong>in</strong> the United States.<br />

Wages and Income<br />

While past years have seen growth <strong>in</strong> real wages at all levels, wage growth has<br />

collapsed over the past six months. Nom<strong>in</strong>al hourly wages <strong>of</strong> production workers grew<br />

at only one-sixth the rate from December 2007. Also workers also face a cut <strong>in</strong> hours<br />

and nom<strong>in</strong>al weekly earn<strong>in</strong>gs have decl<strong>in</strong>ed. As the recent growth <strong>in</strong> wages has<br />

decl<strong>in</strong>ed, it illustrates that the recession affects everyone <strong>in</strong>clud<strong>in</strong>g those able to keep<br />

their jobs while add<strong>in</strong>g pressure to the consumption growth which experts estimate will<br />

further delay economic recovery (<strong>Economic</strong> Policy Institute, 2009).<br />

Low-wage workers have been particularly hard hit by wage trends. More than four<br />

decades ago <strong>in</strong> 1967, a year-round worker earn<strong>in</strong>g the m<strong>in</strong>imum wage was paid enough<br />

to raise a family <strong>of</strong> three above the poverty l<strong>in</strong>e (Solar, 1995). From 1981-1990,<br />

however, the m<strong>in</strong>imum wage was frozen at $3.35 an hour, while the cost <strong>of</strong> liv<strong>in</strong>g<br />

<strong>in</strong>creased 48% over the same period. Congress raised the m<strong>in</strong>imum wage to $5.15 per<br />

hour <strong>in</strong> 1996, and it has not been raised until 2007. In 2007, President Bush signed <strong>in</strong>to<br />

law a plan that would <strong>in</strong>crease the m<strong>in</strong>imum wage to $7.25 an hour, over two years.<br />

This <strong>in</strong>crease has not kept up with the ground lost to <strong>in</strong>flation <strong>in</strong> the last 20 years; thus,<br />

the real value <strong>of</strong> the m<strong>in</strong>imum wage today is 26% less than <strong>in</strong> 1979 (<strong>The</strong> <strong>Economic</strong><br />

Policy Institute, 2005), worth only $4.42 <strong>in</strong> real dollars (AFL-CIO, 2005). In today’s<br />

current market, a full-time m<strong>in</strong>imum wage worker work<strong>in</strong>g 40 hours a week and 52<br />

weeks per year would earn $13,624. This puts him nearly 25% below the $18,310 (<strong>US</strong><br />

Department <strong>of</strong> Health and Human Services, 2009) poverty level for a family <strong>of</strong> three.<br />

This worker falls below the poverty l<strong>in</strong>e even after factor<strong>in</strong>g <strong>in</strong> the earned <strong>in</strong>come tax<br />

credit, which was created to br<strong>in</strong>g low-wage workers up to the poverty l<strong>in</strong>e (<strong>The</strong><br />

<strong>Economic</strong> Policy Institute, 2007). <strong>The</strong> <strong>Economic</strong> Policy Institute estimates that by 2009,<br />

the m<strong>in</strong>imum wage <strong>in</strong>crease will raise full-time m<strong>in</strong>imum wage workers above the<br />

poverty l<strong>in</strong>e for a family <strong>of</strong> two for the first time <strong>in</strong> more than ten years (<strong>The</strong> <strong>Economic</strong><br />

Policy Institute, 2007). Even after the next wage <strong>in</strong>crease to $7.25, a family <strong>of</strong> three will<br />

rema<strong>in</strong> about $3,000 below the poverty l<strong>in</strong>e, and a family <strong>of</strong> four will be more than<br />

$6,000 below it [U.S. Health and Human Services]. Contrary to popular belief, the<br />

majority <strong>of</strong> m<strong>in</strong>imum-wage workers are not teenagers: approximately 79% <strong>of</strong> m<strong>in</strong>imum<br />

age workers are 20 or older (<strong>The</strong> <strong>Economic</strong> Policy Institute, 2008).<br />

In addition to the erosion <strong>in</strong> the value <strong>of</strong> the m<strong>in</strong>imum wage, there are other factors that<br />

contribute to the decl<strong>in</strong>e <strong>in</strong> wage decl<strong>in</strong>e. As more countries compete aga<strong>in</strong>st each<br />

other, the result may be add<strong>in</strong>g a downward pressure on wages. Also, the weaken<strong>in</strong>g <strong>in</strong><br />

union power and labor policies may have some affect on the wage decl<strong>in</strong>e (International<br />

Labor Organization, 2008).<br />

Decl<strong>in</strong><strong>in</strong>g wages, <strong>in</strong> turn, have put hous<strong>in</strong>g out <strong>of</strong> reach for many workers: a household<br />

would need more than one full time m<strong>in</strong>imum wage worker to afford a two-bedroom<br />

rental apartment at fair market rent (National Low Income Hous<strong>in</strong>g Coalition, 2009). In<br />

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fact, <strong>in</strong> the median state a m<strong>in</strong>imum-wage worker would have to work 87 hours each<br />

week to afford a two-bedroom apartment at 30% <strong>of</strong> his or her <strong>in</strong>come, which is the<br />

federal def<strong>in</strong>ition <strong>of</strong> affordable hous<strong>in</strong>g. In addition, 40% <strong>of</strong> households with "worst case<br />

hous<strong>in</strong>g needs" -- households pay<strong>in</strong>g over half their <strong>in</strong>comes for rent, liv<strong>in</strong>g <strong>in</strong> severely<br />

substandard hous<strong>in</strong>g, or both -- have at least one work<strong>in</strong>g person. <strong>The</strong> most recent<br />

HUD report (2005) shows that there were nearly six million households with “worst-case<br />

hous<strong>in</strong>g needs” <strong>in</strong> America.<br />

<strong>The</strong> connection between impoverished workers and homelessness can be seen <strong>in</strong><br />

homeless shelters, many <strong>of</strong> which house significant numbers <strong>of</strong> full-time wage earners.<br />

A survey <strong>of</strong> 23 U.S. cities found that eleven <strong>of</strong> the cities reported an <strong>in</strong>crease <strong>in</strong> the<br />

number <strong>of</strong> employed homeless people, one city reported a decrease and seven other<br />

cities reported no change from the previous year (U.S. Conference <strong>of</strong> Mayors, 2008).<br />

In today’s economy, one <strong>of</strong> the hardest burdens for workers is the cont<strong>in</strong>ued dramatic<br />

decl<strong>in</strong>e <strong>in</strong> wage growth. For the first year <strong>of</strong> the recession, wage growth rema<strong>in</strong>ed<br />

relatively strong; nom<strong>in</strong>al (non-<strong>in</strong>flation adjusted) hourly wages for<br />

production/nonsupervisory workers (who comprise over 80% <strong>of</strong> payroll employment)<br />

grew 3.9% from December 2007 to December 2008. S<strong>in</strong>ce that time, however, wage<br />

growth has slowed abruptly; <strong>in</strong> May 2009, wages grew at a 1.3% annualized rate, onethird<br />

the earlier pace (<strong>Economic</strong> Policy Institute, 2009). If this percentage cont<strong>in</strong>ues to<br />

drop, it will become harder for a blue-collar worker to support his or her family.<br />

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Additionally, ris<strong>in</strong>g costs <strong>of</strong> gasol<strong>in</strong>e and food are tak<strong>in</strong>g large portions <strong>of</strong> these workers’<br />

pay checks (<strong>Economic</strong> Policy Institute, 2008).<br />

Job Security and Underemployment<br />

Not only have wages stagnated or decl<strong>in</strong>ed over the last two decades, but also job<br />

stability and job security have deteriorated. One measure <strong>of</strong> job stability, <strong>in</strong>voluntary job<br />

loss, has <strong>in</strong>creased <strong>in</strong> recent years. <strong>The</strong> economy has lost nearly six million jobs s<strong>in</strong>ce<br />

the recession began <strong>in</strong> December 2007. Household Survey reports that the<br />

unemployment rate <strong>in</strong>creased from 8.9% to 9.5% <strong>in</strong> June 2009, which accord<strong>in</strong>g to the<br />

Bureau <strong>of</strong> Labor Statistics added over three-quarters <strong>of</strong> a million workers to the<br />

unemployed list (<strong>Economic</strong> Policy Institute, 2009). Additionally, people are fall<strong>in</strong>g victims<br />

to long term unemployment at greater rates. <strong>The</strong> number <strong>of</strong> people out <strong>of</strong> work for 27<br />

weeks or more is approximately 4.4 million (3 <strong>in</strong> 10 unemployed workers). <strong>The</strong><br />

workforce dropped from 155.1 million <strong>in</strong> May to 154.9 million <strong>in</strong> June (U.S. News &<br />

World Report).<br />

Displaced workers face difficulty f<strong>in</strong>d<strong>in</strong>g new employment; when they do f<strong>in</strong>d work, their<br />

new jobs pay, on average, about 13% less than the jobs they lost. And more than onefourth<br />

<strong>of</strong> those who had health <strong>in</strong>surance on their old jobs don't have it at their new ones<br />

(Mishel, Bernste<strong>in</strong>, and Schmitt, 1999). Additionally, reports <strong>in</strong>dicate that from 2001-<br />

2003, about 30% <strong>of</strong> people who had <strong>in</strong>voluntarily lost jobs were not employed when<br />

they were surveyed aga<strong>in</strong> (Farber, 2005). As pr<strong>of</strong>essional and managerial jobs have<br />

become <strong>in</strong>creas<strong>in</strong>gly vulnerable to downsiz<strong>in</strong>g, higher socioeconomic groups are<br />

experienc<strong>in</strong>g <strong>in</strong>creased job <strong>in</strong>stability, and the risk <strong>of</strong> job loss is becom<strong>in</strong>g more equally<br />

distributed by socioeconomic status (Farber 2005).<br />

Another trend impact<strong>in</strong>g job security is non-standard work... In 1997, almost 30% <strong>of</strong><br />

workers were employed <strong>in</strong> non-standard work arrangements (i.e. <strong>in</strong>dependent<br />

contract<strong>in</strong>g, work<strong>in</strong>g for a temporary help agency, day labor, or regular part-time<br />

employment) (Mishel, Bernste<strong>in</strong>, and Schmitt, 1999). Temporary employment has<br />

<strong>in</strong>creased by 11% s<strong>in</strong>ce 1972 (Kalleberg, Resk<strong>in</strong>, & Hudson, 2000). <strong>The</strong>se nonstandard<br />

work arrangements typically <strong>of</strong>fer lower wages, fewer benefits, and less job<br />

security. Even temporary jobs are be<strong>in</strong>g affected by the worsen<strong>in</strong>g economy, with<br />

monthly losses that averaged 73,000 dur<strong>in</strong>g the previous six months (Bureau <strong>of</strong> Labor<br />

Statistics, 2009).<br />

A useful measure <strong>of</strong> the decl<strong>in</strong>e <strong>in</strong> job security is underemployment. Unlike the<br />

unemployment rate, measures <strong>of</strong> underemployment reflect not only <strong>in</strong>dividuals who are<br />

unemployed, but also <strong>in</strong>voluntary part-timers and those who want to work but have been<br />

discouraged by their lack <strong>of</strong> success. As <strong>of</strong> March 2009, the underemployment rate is<br />

15.8%, substantially higher than the 9.4% unemployment rate which translates <strong>in</strong>to 24.4<br />

million people who are underemployed or one out <strong>of</strong> every six American workers is<br />

either unemployed or underemployed. (<strong>Economic</strong> Policy Institute, 2009). <strong>The</strong> number <strong>of</strong><br />

<strong>in</strong>voluntarily part-time workers has nearly doubled s<strong>in</strong>ce the start <strong>of</strong> the recession, from<br />

4.6 million to 9.0 million. One reason for the higher level <strong>of</strong> underemployment is the<br />

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<strong>in</strong>creas<strong>in</strong>g number <strong>of</strong> <strong>in</strong>voluntary part-time workers -- workers who want to work full time<br />

but have only been able to obta<strong>in</strong> part time work.<br />

Thus, for many Americans, work provides no escape from poverty. <strong>The</strong> benefits <strong>of</strong><br />

economic growth have not been equally distributed; <strong>in</strong>stead, they have been<br />

concentrated at the top <strong>of</strong> <strong>in</strong>come and wealth distributions. A ris<strong>in</strong>g tide does not lift all<br />

boats, and <strong>in</strong> the United States today, many boats are struggl<strong>in</strong>g to stay afloat.<br />

BARRIERS TO EMPLOYMENT FACED BY HOMELESS PEOPLE<br />

As bad as it is for the 44% <strong>of</strong> homeless people who have jobs and can't escape<br />

homelessness, climb<strong>in</strong>g out <strong>of</strong> homelessness is virtually impossible for those without a<br />

job. For those with limited skills or experience, opportunities for jobs that pay a liv<strong>in</strong>g<br />

wage are very limited. Additionally, many members <strong>of</strong> the homeless population have to<br />

combat barriers such as limited transportation and reduced access to educational and<br />

tra<strong>in</strong><strong>in</strong>g programs (Long, Rio, & Rosen, 2007). In such a competitive environment, the<br />

difficulties <strong>of</strong> job seek<strong>in</strong>g as a homeless person can be almost <strong>in</strong>surmountable barriers<br />

to employment.<br />

Mental or physical illnesses also play vital roles <strong>in</strong> the employment participation <strong>of</strong><br />

homeless <strong>in</strong>dividuals or those at risk for becom<strong>in</strong>g homeless. Research statistics<br />

illustrate that a disability, mental or physical, can result <strong>in</strong> difficulty acquir<strong>in</strong>g work. In<br />

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addition to mental illness and substance abuse, <strong>in</strong>carceration also serves as a barrier<br />

for employment. Incarceration can decrease the types <strong>of</strong> employment available to an<br />

<strong>in</strong>dividual after release from jail or prison. Along with the previously mentioned barriers,<br />

the lack <strong>of</strong> access to technology serves as a handicap for the homeless search<strong>in</strong>g for<br />

work. In this job market, some knowledge <strong>of</strong> computers and technology is essential for<br />

every field. Although there are computers available through public access, some<br />

homeless <strong>in</strong>dividuals lack computer knowledge and fear failure.<br />

Much has been learned from programs designed to help homeless people obta<strong>in</strong> and<br />

ma<strong>in</strong>ta<strong>in</strong> employment <strong>in</strong> recent years. Studies <strong>in</strong>dicate that ma<strong>in</strong>stream programs,<br />

where the homeless are a m<strong>in</strong>ority population, may meet some <strong>of</strong> the basic needs <strong>of</strong><br />

some homeless <strong>in</strong>dividuals but struggle to encourage employment by these <strong>in</strong>dividuals<br />

and provide <strong>in</strong>come and support. This shortcom<strong>in</strong>g also highlights that other groups <strong>of</strong><br />

the homeless receive little <strong>in</strong>come or employment support, i.e. s<strong>in</strong>gle adults. Programs<br />

directly targeted to homeless populations such as the programs funded by the U.S.<br />

Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development, <strong>The</strong> Department <strong>of</strong> Health and Human<br />

Services (Transitional Liv<strong>in</strong>g Program for homeless youth), or <strong>The</strong> Department <strong>of</strong> Labor<br />

which funds Homeless Veterans’ Re<strong>in</strong>tegration Program (focus<strong>in</strong>g on employment) are<br />

from descriptive accounts fairly more successful <strong>in</strong> the homeless population than<br />

ma<strong>in</strong>stream <strong>in</strong>itiatives. In addition to these programs, ma<strong>in</strong>stream federal employment<br />

programs and demonstrations have particular local grantees that target homeless<br />

people.<br />

Because <strong>of</strong> past legislation, a variety <strong>of</strong> government funded programs exist to assist the<br />

homeless. Studies show that programs designed to assist the homeless should be<br />

implemented to cover a variety <strong>of</strong> concerns. An evaluation <strong>of</strong> the Job Tra<strong>in</strong><strong>in</strong>g for the<br />

Homeless Demonstration Program (JTHDP), authorized by the Stewart B. McK<strong>in</strong>ney<br />

Act <strong>in</strong> 1988, found that successful employment programs provide access to a wide<br />

variety <strong>of</strong> services <strong>in</strong>clud<strong>in</strong>g hous<strong>in</strong>g to help the homeless overcome employment<br />

barriers. In addition, the evaluation concluded that <strong>in</strong> order for employment programs to<br />

be most successful, they must directly target the homeless or those at risk <strong>of</strong> becom<strong>in</strong>g<br />

homeless.<br />

In 2003, <strong>in</strong> support <strong>of</strong> the goal <strong>of</strong> end<strong>in</strong>g chronic homelessness, and build<strong>in</strong>g upon<br />

previous efforts <strong>of</strong> the 1988 – 1995 Job Tra<strong>in</strong><strong>in</strong>g for the Homeless Demonstration<br />

Program, the U.S. Department <strong>of</strong> Labor (DOL) and U.S. Department <strong>of</strong> Hous<strong>in</strong>g and<br />

Urban Development, partnered together to launch the End<strong>in</strong>g Chronic <strong>Homelessness</strong><br />

through Employment and Hous<strong>in</strong>g (ECHEH) <strong>in</strong>itiative. <strong>The</strong> <strong>in</strong>itiative was funded by three<br />

branches with<strong>in</strong> DOL - the Office <strong>of</strong> Disability Employment Policy (ODEP), the<br />

Employment and Tra<strong>in</strong><strong>in</strong>g Adm<strong>in</strong>istration (ETA), and the Veterans Employment and<br />

Tra<strong>in</strong><strong>in</strong>g Service (VETS) - and by HUD’s Office <strong>of</strong> Special Populations. In this five year<br />

<strong>in</strong>itiative, DOL and HUD awarded a comb<strong>in</strong>ed total <strong>of</strong> $23,615,367 to five local<br />

workforce <strong>in</strong>vestment boards and their respective hous<strong>in</strong>g partners. A major goal <strong>of</strong> this<br />

<strong>in</strong>itiative was to develop susta<strong>in</strong>able and effective direct service partnerships between<br />

hous<strong>in</strong>g providers, homeless assistance agencies, and the ma<strong>in</strong>stream workforce<br />

system.<br />

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POLICY ISSUES<br />

Although fund<strong>in</strong>g for the JTHDP program was term<strong>in</strong>ated <strong>in</strong> FY1995, Congress<br />

mandated that the U.S. Department <strong>of</strong> Labor use the expertise ga<strong>in</strong>ed from the JTHDP<br />

program to enhance the capacity <strong>of</strong> national employment programs such as the Job<br />

Tra<strong>in</strong><strong>in</strong>g Partnership Act (JTPA) to serve homeless <strong>in</strong>dividuals (Foscar<strong>in</strong>as, 1996). In<br />

1998, the Work Investment Act (WIA) passed and required governments to establish<br />

employment and tra<strong>in</strong><strong>in</strong>g systems and adequately disperse <strong>in</strong>formation with<strong>in</strong> their<br />

community. Congress appropriated $5.37 billion for WIA to be implemented by 2000<br />

(CRS Report for Congress).<br />

Accord<strong>in</strong>g to the Center for Law and Social Policy, under the American Recovery and<br />

Re<strong>in</strong>vestment<br />

Act, the WIA<br />

should be able<br />

to implement<br />

work-force<br />

education and<br />

tra<strong>in</strong><strong>in</strong>g<br />

strategies that<br />

can assist lowskilled<br />

adults<br />

and youth ga<strong>in</strong><br />

access to jobs<br />

critical to local<br />

economies. In<br />

addition, the<br />

Economy<br />

Recovery Act<br />

gives State and<br />

Local Workforce<br />

Investment<br />

Boards (WIBs)<br />

an opportunity<br />

to implement<br />

new <strong>in</strong>novations<br />

such as align<strong>in</strong>g federal and state workforce education and tra<strong>in</strong><strong>in</strong>g programs. Under<br />

ARRA, state and local areas can <strong>in</strong>volve employers, unions and other job creation<br />

efforts to create skilled workers for these jobs and susta<strong>in</strong>able careers as the economic<br />

recovery cont<strong>in</strong>ues (Center for Law and Social Policy).<br />

While employment and tra<strong>in</strong><strong>in</strong>g programs geared to homeless people have proven to be<br />

effective <strong>in</strong> help<strong>in</strong>g homeless persons obta<strong>in</strong> work, successful completion <strong>of</strong> an<br />

employment program by a homeless person does not necessarily end his or her<br />

homelessness. He or she still needs a decent job and a place to live. <strong>The</strong>refore,<br />

transitional hous<strong>in</strong>g programs such as Sound Families <strong>in</strong> Seattle have become very<br />

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eneficial. By giv<strong>in</strong>g these families a place to live, they appear to be better able to f<strong>in</strong>d<br />

hous<strong>in</strong>g. In this program, employment upon entry <strong>in</strong>to the transitional hous<strong>in</strong>g was 27%;<br />

when these people exited their employment rate was 50% (Long, Rio, & Rosen, 2007).<br />

Also the U.S. Interagency Council on <strong>Homelessness</strong> was created to organize the<br />

federal response to homelessness to reduce and ultimately end homelessness <strong>in</strong><br />

America. <strong>The</strong> council focuses on federal <strong>in</strong>vestments and ensur<strong>in</strong>g that allocations are<br />

be<strong>in</strong>g dispersed to programs via public or private sectors target<strong>in</strong>g the homeless<br />

population.<br />

End<strong>in</strong>g homelessness will require clos<strong>in</strong>g the gap between <strong>in</strong>comes and hous<strong>in</strong>g costs.<br />

In such an equation, jobs that pay a liv<strong>in</strong>g wage are critical. Government, labor, and the<br />

private sector must work <strong>in</strong> concert to ensure that all Americans who can work have an<br />

opportunity to obta<strong>in</strong> a job, which pays a liv<strong>in</strong>g wage, and the necessary supports, such<br />

as child care and transportation, to keep it.<br />

________<br />

Footnotes<br />

1. FMRs are the monthly amounts "needed to rent privately owned, decent, safe, and<br />

sanitary rental hous<strong>in</strong>g <strong>of</strong> a modest (nonluxury) nature with suitable amenities." Federal<br />

Register. HUD determ<strong>in</strong>es FMRs for localities <strong>in</strong> all 50 states.<br />

2. <strong>The</strong> poverty l<strong>in</strong>e for a family <strong>of</strong> three is $12,750; for a family <strong>of</strong> four, the poverty l<strong>in</strong>e is<br />

$16,813. See http://www.census.gov/hhes/ww w/poverty.html for details.<br />

________<br />

Homeless Youth Unemployment Is N<strong>in</strong>e Times<br />

<strong>The</strong> National Average<br />

One <strong>in</strong> three people experienc<strong>in</strong>g homelessness is under 25.<br />

05/04/2017 12:43 PM AEST<br />

A landmark study has found homeless youth experience unemployment at more than<br />

n<strong>in</strong>e times the national average, further fuell<strong>in</strong>g calls for the federal government to<br />

outl<strong>in</strong>e a plan to address the tens <strong>of</strong> thousands <strong>of</strong> young people who f<strong>in</strong>d themselves<br />

homeless each year.<br />

Wednesday is Youth <strong>Homelessness</strong> Matters Day, a national day to highlight the impact<br />

homelessness has on young people and its knock-on effects to broader society.<br />

<strong>Homelessness</strong> is not just people forced to 'sleep rough' on streets or <strong>in</strong> parks, its<br />

broader def<strong>in</strong>ition encompass<strong>in</strong>g people who don't have a safe, stable place to live;<br />

couch-surf<strong>in</strong>g, stay<strong>in</strong>g with friends, liv<strong>in</strong>g temporarily <strong>in</strong> caravan parks or motels, or<br />

stay<strong>in</strong>g <strong>in</strong> refuges or shelters is also deemed 'homelessness'.<br />

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Youth <strong>Homelessness</strong> Matters Day is be<strong>in</strong>g celebrated nationwide, and <strong>in</strong> Sydney, the<br />

NSW peak body for youth homelessness Yfoundations launched its education and<br />

employment report 'Skills to Pay the Bills'.<br />

Survey<strong>in</strong>g 700 young people statewide, the report found unemployment among young<br />

people experienc<strong>in</strong>g homelessness was 55 percent, more than n<strong>in</strong>e times the current<br />

national unemployment rate <strong>of</strong> 5.9 percent and four times the current youth<br />

unemployment rate <strong>of</strong> 13 percent. Young people experienc<strong>in</strong>g homelessness also have<br />

far lower high school completion rates than statewide averages.<br />

Michelle Parker, the act<strong>in</strong>g CEO <strong>of</strong> Yfoundation, said up to 60,000 young people<br />

experienced homelessness <strong>in</strong> NSW last year. Statistics around youth homelessness are<br />

difficult to p<strong>in</strong> down, due to the 'hidden homelessness' <strong>of</strong> young people who are couchsurf<strong>in</strong>g<br />

or stay<strong>in</strong>g with friends, or who do not consider themselves to be homeless and<br />

therefore do not seek out services. However, statistics cited by various homelessness<br />

experts <strong>in</strong>clude:<br />

One <strong>in</strong> three people experienc<strong>in</strong>g homelessness is under the age <strong>of</strong> 25;<br />

One <strong>in</strong> eight people experienc<strong>in</strong>g homelessness is under the age <strong>of</strong> 10;<br />

39,000 school-age children needed homelessness help last year;<br />

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One <strong>in</strong> two adults receiv<strong>in</strong>g homelessness help first became homeless before<br />

age 18;<br />

"Today is about us gett<strong>in</strong>g together nationally and say<strong>in</strong>g what's happen<strong>in</strong>g at the<br />

moment is not OK," Parker told an event <strong>in</strong> Sydney. She said nearly 14,000 young<br />

people accessed homelessness services <strong>in</strong> 2015-16, but that the true problem is<br />

estimated to be more than four times higher.<br />

"It's really quite ridiculous <strong>in</strong> Sydney. Thats a lot <strong>of</strong> people... [but] we th<strong>in</strong>k it might be<br />

about a quarter, that puts the numbers around 60,000 a year."<br />

<strong>The</strong> problem is also large <strong>in</strong> Victoria. <strong>The</strong> Council to Homeless People said Australian<br />

Institute <strong>of</strong> Health and Welfare data found 38,400 people under the age <strong>of</strong> 25 accessed<br />

Victorian homelessness services <strong>in</strong> 2015-16. That's nearly 40 percent <strong>of</strong> all<br />

homelessness clients <strong>in</strong> the state. CHP's CEO Jenny Smith, too, said that number was<br />

likely vastly lower than reality.<br />

"Young people's homelessness is too <strong>of</strong>ten hidden, because many young people are<br />

experienc<strong>in</strong>g '<strong>in</strong>visible homelessness' <strong>in</strong> the form <strong>of</strong> couch-surf<strong>in</strong>g or overcrowd<strong>in</strong>g,"<br />

Smith said.<br />

Both Smith and Parker called on the federal government to <strong>in</strong>troduce a targeted plan to<br />

reduce youth homelessness. Other organizations "A perfect storm <strong>of</strong> <strong>in</strong>creas<strong>in</strong>g report<strong>in</strong>g <strong>of</strong><br />

family violence, decreas<strong>in</strong>g hous<strong>in</strong>g affordability for families with kids, a pitifully low Youth<br />

Allowance and ris<strong>in</strong>g youth unemployment is contribut<strong>in</strong>g to the crisis levels <strong>of</strong> homelessness<br />

we're see<strong>in</strong>g amongst our youth," Smith said.<br />

"In the absence <strong>of</strong> a national plan, we won't have any action. We're fortunate to have<br />

the <strong>in</strong>terest <strong>of</strong> the treasurer on hous<strong>in</strong>g affordability, but we're concerned he's focus<strong>in</strong>g<br />

on repurpos<strong>in</strong>g some <strong>of</strong> the exist<strong>in</strong>g fund<strong>in</strong>g and not actually talk<strong>in</strong>g about additional<br />

resources <strong>in</strong>to address<strong>in</strong>g the issue. You need a plan, a strategy, and resources to start<br />

tackl<strong>in</strong>g it. We don't have any <strong>of</strong> those th<strong>in</strong>gs."<br />

Parker agreed.<br />

"<strong>The</strong> last few years have been quite disappo<strong>in</strong>t<strong>in</strong>g on a national level around what we've<br />

got for young people," she said <strong>in</strong> Sydney.<br />

"<strong>The</strong>re's not only no plan for action on homelessness, there's no plan for young people<br />

<strong>in</strong> Australia and that's a massive problem."<br />

<strong>in</strong>clud<strong>in</strong>g Anglicare have also jo<strong>in</strong>ed the call.<br />

________<br />

Page 38 <strong>of</strong> 289


Amid Boom<strong>in</strong>g Economy, <strong>Homelessness</strong> Soars<br />

On <strong>US</strong> West Coast<br />

By Gillian Flaccus and Ge<strong>of</strong>f Mulvihill<br />

Nov. 09, 2017<br />

SEATTLE (AP) — In a park <strong>in</strong> the middle <strong>of</strong> a leafy, bohemian neighborhood where<br />

homes list for close to $1 million, a tractor’s massive claw scooped up the refuse <strong>of</strong> the<br />

homeless - mattresses, tents, wooden frames, a wicker chair, an outdoor propane<br />

heater. Workers <strong>in</strong> masks and steel-shanked boots plucked used needles and mounds<br />

<strong>of</strong> waste from the underbrush.<br />

Just a day before, this corner <strong>of</strong> Ravenna Park was an illegal home for the down and<br />

out, one <strong>of</strong> 400 such encampments that have popped up <strong>in</strong> Seattle’s parks, under<br />

bridges, on freeway medians and along busy sidewalks. Now, as police and social<br />

workers approached, some <strong>of</strong> the dispossessed scurried away, vanish<strong>in</strong>g <strong>in</strong>to a<br />

metropolis that is struggl<strong>in</strong>g to cope with an enormous wave <strong>of</strong> homelessness.<br />

That struggle is not Seattle’s alone. A homeless crisis <strong>of</strong> unprecedented proportions is<br />

rock<strong>in</strong>g the West Coast, and its victims are be<strong>in</strong>g left beh<strong>in</strong>d by the very th<strong>in</strong>gs that<br />

mark the region’s success: soar<strong>in</strong>g hous<strong>in</strong>g costs, rock-bottom vacancy rates and a<br />

Page 39 <strong>of</strong> 289


oar<strong>in</strong>g economy that waits for no one. All along the coast, elected <strong>of</strong>ficials are<br />

scrambl<strong>in</strong>g for solutions.<br />

“I’ve got economically zero unemployment <strong>in</strong> my city, and I’ve got thousands <strong>of</strong><br />

homeless people that actually are work<strong>in</strong>g and just can’t afford hous<strong>in</strong>g,” said Seattle<br />

City Councilman Mike O’Brien. “<strong>The</strong>re’s nowhere for these folks to move to. Every time<br />

we open up a new place, it fills up.”<br />

<strong>The</strong> ris<strong>in</strong>g numbers <strong>of</strong> homeless people have pushed abject poverty <strong>in</strong>to the open like<br />

never before and have overwhelmed cities and nonpr<strong>of</strong>its. <strong>The</strong> surge <strong>in</strong> people liv<strong>in</strong>g on<br />

the streets has put public health at risk, led several cities to declare states <strong>of</strong> emergency<br />

and forced cities and counties to spend millions - <strong>in</strong> some cases billions - <strong>in</strong> a search for<br />

solutions.<br />

San Diego now scrubs its sidewalks with bleach to counter a deadly hepatitis A<br />

outbreak that has spread to other cities and forced California to declare a state <strong>of</strong><br />

emergency last month. In Anaheim, home to Disneyland, 400 people sleep along a bike<br />

path <strong>in</strong> the shadow <strong>of</strong> Angel Stadium. Organizers <strong>in</strong> Portland lit <strong>in</strong>cense at a recent<br />

outdoor food festival to cover up the stench <strong>of</strong> ur<strong>in</strong>e <strong>in</strong> a park<strong>in</strong>g lot where vendors set<br />

up shop.<br />

<strong>Homelessness</strong> is not new on the West Coast. But <strong>in</strong>terviews with local <strong>of</strong>ficials and<br />

those who serve the homeless <strong>in</strong> California, Oregon and Wash<strong>in</strong>gton - coupled with an<br />

Associated Press review <strong>of</strong> prelim<strong>in</strong>ary homeless data - confirm it’s gett<strong>in</strong>g worse.<br />

People who were once able to get by, even if they suffered a setback, are now pushed<br />

to the streets because hous<strong>in</strong>g has become so expensive.<br />

All it takes is a prolonged illness, a lost job, a broken limb, a family crisis. What was<br />

once a blip <strong>in</strong> fortunes now seems a life sentence.<br />

“Most homeless people I know aren’t homeless because they’re addicts,” said Tammy<br />

Stephen, 54, who lives at a homeless encampment <strong>in</strong> Seattle. “Most people are<br />

homeless because they can’t afford a place to live.”<br />

Among the AP’s f<strong>in</strong>d<strong>in</strong>gs:<br />

— Official counts taken earlier this year <strong>in</strong> California, Oregon and Wash<strong>in</strong>gton<br />

show 168,000 homeless people <strong>in</strong> the three states, accord<strong>in</strong>g to an AP tally <strong>of</strong><br />

every jurisdiction <strong>in</strong> those states that reports homeless numbers to the U.S.<br />

Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development. That is 19,000 more than were<br />

counted two years ago, although the numbers may not be directly comparable<br />

because <strong>of</strong> factors rang<strong>in</strong>g from the weather to new count<strong>in</strong>g methods.<br />

— Dur<strong>in</strong>g the same period, the number <strong>of</strong> unsheltered people <strong>in</strong> the three states<br />

- def<strong>in</strong>ed as someone sleep<strong>in</strong>g outside, <strong>in</strong> a bus or tra<strong>in</strong> station, abandoned<br />

build<strong>in</strong>g or vehicle - has climbed 18 percent to 105,000.<br />

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— Ris<strong>in</strong>g rents are the ma<strong>in</strong> culprit. <strong>The</strong> median one-bedroom apartment <strong>in</strong> the<br />

San Francisco Bay Area is significantly more expensive than it is <strong>in</strong> the New York<br />

City metro area, and apartments <strong>in</strong> San Francisco are listed at a higher price<br />

than those <strong>in</strong> Manhattan.<br />

— S<strong>in</strong>ce 2015, at least 10 cities or municipal regions <strong>in</strong> California, Oregon and<br />

Wash<strong>in</strong>gton - and Honolulu, as well - have declared states <strong>of</strong> emergency due to<br />

the rise <strong>of</strong> homelessness, a designation usually reserved for natural disasters.<br />

“What do we want as a city to look like? That’s what the citizens here need to decide,”<br />

said Gordon Walker, head <strong>of</strong> the regional task force for the homeless <strong>in</strong> San Diego,<br />

where the unsheltered homeless population has spiked by 18 percent <strong>in</strong> the past year.<br />

“What are we go<strong>in</strong>g to allow? Are we will<strong>in</strong>g to have people die on the streets?”<br />

With alarm<strong>in</strong>g frequency, the West Coast’s newly homeless are people who were able<br />

to survive on the marg<strong>in</strong>s - until those marg<strong>in</strong>s moved.<br />

For years, Stanley Timm<strong>in</strong>gs, 62, and his 61-year-old girlfriend, L<strong>in</strong>da Catl<strong>in</strong>, were able<br />

to rent a room <strong>in</strong> a friend’s house on their comb<strong>in</strong>ed disability payments.<br />

Last spr<strong>in</strong>g, that friend died <strong>of</strong> colon cancer and the couple was thrust on Seattle’s<br />

streets.<br />

Timm<strong>in</strong>gs used their last sav<strong>in</strong>gs to buy a used RV for $300 and spent another $300 to<br />

register it. <strong>The</strong>y bought a car from a junk yard for $275.<br />

Page 41 <strong>of</strong> 289


Now, the couple parks the RV near a small regional airport and uses the car to get<br />

around.<br />

<strong>The</strong>y have no runn<strong>in</strong>g water and no propane for the cook stove. <strong>The</strong>y go to the<br />

bathroom <strong>in</strong> a bucket and dump it beh<strong>in</strong>d a nearby bus<strong>in</strong>ess. <strong>The</strong>y shower and do<br />

laundry at a nonpr<strong>of</strong>it and buy water at a grocery depot. After four months, the stench <strong>of</strong><br />

human waste <strong>in</strong>side the RV is overwhelm<strong>in</strong>g. Every <strong>in</strong>ch <strong>of</strong> space is crammed with their<br />

belong<strong>in</strong>gs: jugs <strong>of</strong> laundry detergent, stacks <strong>of</strong> clothes, pots and pans, and tattered<br />

paperback novels. <strong>The</strong>y are exhausted, scared and defeated, with no solution <strong>in</strong> sight.<br />

“Between the two <strong>of</strong> us a month, we get $1,440 <strong>in</strong> disability. We can’t f<strong>in</strong>d a place for<br />

that,” he said. “Our <strong>in</strong>come is (about) $17,000 ... a year. That puts us way out <strong>of</strong> the<br />

ballpark, not even close. It might have been enough but anymore, no. It’s not.”<br />

A new study funded by the real estate <strong>in</strong>formation firm Zillow and conducted by the<br />

University <strong>of</strong> Wash<strong>in</strong>gton found a strong l<strong>in</strong>k between ris<strong>in</strong>g hous<strong>in</strong>g prices and ris<strong>in</strong>g<br />

homelessness numbers. A 5 percent rent <strong>in</strong>crease <strong>in</strong> Los Angeles, for example, would<br />

mean about 2,000 more homeless people there, the authors said.<br />

Nationally, homelessness has been trend<strong>in</strong>g down, partly because governments and<br />

nonpr<strong>of</strong>it groups have gotten better at mov<strong>in</strong>g people <strong>in</strong>to hous<strong>in</strong>g. That’s true <strong>in</strong> many<br />

West Coast cities, too, but the flow the other direction is even faster. And on the West<br />

Coast, shelter systems are smaller.<br />

“If you have a disability <strong>in</strong>come, you make about $9,000 a year and rent<strong>in</strong>g a studio <strong>in</strong><br />

Seattle is about $1,800 a month and so that’s twice your <strong>in</strong>come,” said Margaret K<strong>in</strong>g,<br />

director <strong>of</strong> hous<strong>in</strong>g programs for DESC, a nonpr<strong>of</strong>it that works with Seattle’s homeless.<br />

“So everybody who was just hang<strong>in</strong>g on because they had cheap rent, they’re los<strong>in</strong>g<br />

that ... and they w<strong>in</strong>d up outside. It’s just exploded.”<br />

Nowhere is that more evident than California’s Silicon Valley, where high salaries and a<br />

tight hous<strong>in</strong>g market have pushed rent out <strong>of</strong> reach for thousands. In ever-shift<strong>in</strong>g<br />

communities <strong>of</strong> the homeless, RVs and cars cluster by the dozens <strong>in</strong> the city where<br />

Google built its global headquarters and just blocks from Stanford University.<br />

Ellen Tara James-Penney, a lecturer at San Jose State University, has been sleep<strong>in</strong>g<br />

out <strong>of</strong> a car for about a decade, ever s<strong>in</strong>ce she lost her hous<strong>in</strong>g while an undergraduate<br />

at the school where she now teaches four English courses, a job that pays $28,000 a<br />

year. Home is an old Volvo.<br />

“I’ve basically been homeless s<strong>in</strong>ce 2007, and I’m really tired,” she said. “Really tired.”<br />

She actually got her start <strong>in</strong> the high tech <strong>in</strong>dustry, before be<strong>in</strong>g laid <strong>of</strong>f dur<strong>in</strong>g the tech<br />

meltdown <strong>of</strong> the early 2000s. Like many who couldn’t f<strong>in</strong>d work, she went to college,<br />

accumulat<strong>in</strong>g tens <strong>of</strong> thousands <strong>of</strong> dollars <strong>in</strong> student debt along the way.<br />

Page 42 <strong>of</strong> 289


Now 54, she grades papers and prepares lesson plans <strong>in</strong> her car. Among her few<br />

belong<strong>in</strong>gs is a pair <strong>of</strong> her grandmother’s fancy stiletto pumps, a rem<strong>in</strong>der to herself that<br />

“it’s not go<strong>in</strong>g to be like this forever.”<br />

Increased hous<strong>in</strong>g costs aren’t just sweep<strong>in</strong>g up low-<strong>in</strong>come workers: <strong>The</strong> numbers <strong>of</strong><br />

homeless youth also is ris<strong>in</strong>g.<br />

A recent count <strong>in</strong> Los Angeles, for example, found that those ages 18 to 24 were the<br />

fastest-grow<strong>in</strong>g homeless group by age, up 64 percent, followed by those under 18. Los<br />

Angeles and other cities have made a concerted effort to improve their tallies <strong>of</strong><br />

homeless youth, which likely accounts for some <strong>of</strong> the <strong>in</strong>crease.<br />

One <strong>of</strong> the reasons is the comb<strong>in</strong>ed cost <strong>of</strong> hous<strong>in</strong>g and tuition, said Will Lehman, policy<br />

supervisor at Los Angeles Homeless Services Authority. A recent study by the<br />

University <strong>of</strong> Wiscons<strong>in</strong> found that one <strong>in</strong> five Los Angeles Community College District<br />

students is homeless, he said.<br />

“<strong>The</strong>y can pay for books, for classes but just can’t afford an apartment. <strong>The</strong>y’re<br />

choos<strong>in</strong>g to prioritize go<strong>in</strong>g to school,” Lehman said. “<strong>The</strong>y don’t choose their situation.”<br />

___<br />

Michael Madigan opened a new w<strong>in</strong>e bar <strong>in</strong> Portland a few years ago overlook<strong>in</strong>g a<br />

ribbon <strong>of</strong> parks not far from the city’s trendy Pearl District.<br />

Bus<strong>in</strong>ess was good until, almost overnight, dozens <strong>of</strong> homeless people showed up on<br />

the sidewalk. A large encampment on the other side <strong>of</strong> the city had been shut down,<br />

and its residents moved to the park at his doorstep.<br />

“We literally turned the corner one day ... and there were 48 tents set up on this one<br />

block that hadn’t been there the day before,” he said.<br />

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Madigan’s bus<strong>in</strong>ess dropped 50 percent <strong>in</strong> four months and he closed his bar. <strong>The</strong>re<br />

are fewer homeless people there now, but the campers have moved to a bike path that<br />

w<strong>in</strong>ds through residential neighborhoods <strong>in</strong> east Portland, prompt<strong>in</strong>g hundreds <strong>of</strong><br />

compla<strong>in</strong>ts about trash, noise, drug use and illegal camp<strong>in</strong>g.<br />

Rachel Sterry, a naturopathic doctor, lives near that path and sometimes doesn’t feel<br />

safe when she’s commut<strong>in</strong>g by bike with her 1-year-old son. Dogs have rolled <strong>in</strong> human<br />

feces <strong>in</strong> a local park; recent improvements she’s made to her small home are<br />

overshadowed by the l<strong>in</strong>e <strong>of</strong> tents and tarps a few dozen yards from her front door, she<br />

said.<br />

“I have to stop and get <strong>of</strong>f my bike to ask people to move their card game or their<br />

lounge chairs or their trash out <strong>of</strong> the way when I’m just try<strong>in</strong>g to get from po<strong>in</strong>t A to<br />

po<strong>in</strong>t B,” she said. “If I were to scream or get hurt, nobody would know.”<br />

For Seattle resident Elisabeth James, the reality check came when a homeless man<br />

forced his way <strong>in</strong>to a glass-enclosed ATM lobby with her after she swiped her card to<br />

open the door for after-hours access. After a few nerve-wrack<strong>in</strong>g m<strong>in</strong>utes, the man left<br />

the lobby but stayed outside, bang<strong>in</strong>g on the glass. Police were too busy to respond so<br />

James called her husband, who scared the man away and walked her home. <strong>The</strong> man,<br />

she believes, just wanted to get out <strong>of</strong> the ra<strong>in</strong>.<br />

A neighborhood pocket park has become a flashpo<strong>in</strong>t, too: When James took her 2-<br />

year-old grandchild there, she saw people <strong>in</strong>ject<strong>in</strong>g hero<strong>in</strong>.<br />

“I’m not a NIMBY person, but I just th<strong>in</strong>k that we can do so much more,” said James,<br />

who founded an activist group called Speak Out Seattle last year. “I wanted to do<br />

someth<strong>in</strong>g that was effective, that brought frustrated people together to f<strong>in</strong>d solutions.<br />

We’re spend<strong>in</strong>g a lot <strong>of</strong> money to house people and we’re gett<strong>in</strong>g a bigger problem.”<br />

<strong>The</strong> crisis is not limited to large metropolises. In Oregon City, a suburban, work<strong>in</strong>g-class<br />

town <strong>of</strong> 36,000 people, the police department this summer added a full-time position for<br />

a homeless outreach <strong>of</strong>ficer after roughly half the calls concerned trash, trespass<strong>in</strong>g,<br />

human waste and illegal encampments.<br />

<strong>The</strong> city has no overnight shelters and never had a significant homeless population until<br />

about three years ago.<br />

On a recent fall day, <strong>of</strong>ficer Mike Day tromped <strong>in</strong>to a greenbelt across from a strip mall<br />

to check on a man he recently connected with a counselor, calmed an <strong>in</strong>toxicated man<br />

and arranged emergency care for a man who was suicidal.<br />

“How many social workers have you met that go <strong>in</strong>to the woods to follow up with the<br />

homeless population and to help with mental health? This is a bit <strong>of</strong> a hybrid position,<br />

certa<strong>in</strong>ly, and maybe it’s not exactly the role <strong>of</strong> a police <strong>of</strong>ficer - but it’s a creative<br />

approach to f<strong>in</strong>d a solution to the problem,” he said.<br />

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<strong>The</strong> question was, “What can we do differently? Because right now, it’s not work<strong>in</strong>g.”<br />

All along the West Coast, local governments are scrambl<strong>in</strong>g to answer that question -<br />

and taxpayers are foot<strong>in</strong>g the bill.<br />

Voters have approved more than $8 billion <strong>in</strong> spend<strong>in</strong>g s<strong>in</strong>ce 2015 on affordable<br />

hous<strong>in</strong>g and other anti-homelessness programs, mostly as tax <strong>in</strong>creases. Los Angeles<br />

voters, for example, approved $1.2 billion to build 10,000 units <strong>of</strong> affordable hous<strong>in</strong>g<br />

over a decade to address a balloon<strong>in</strong>g homeless population that’s reached 34,000<br />

people with<strong>in</strong> city limits.<br />

Seattle spent $61 million on homeless-related issues last year, and a recent budget<br />

proposal would <strong>in</strong>crease that to $63 million. Four years ago, the city spent $39 million<br />

on homelessness. Sacramento has set a goal <strong>of</strong> mov<strong>in</strong>g 2,000 people <strong>of</strong>f the streets <strong>in</strong><br />

the next three years and may place a hous<strong>in</strong>g bond before voters <strong>in</strong> 2018.<br />

Appeals for money have angered residents who see tent encampments grow<strong>in</strong>g <strong>in</strong> their<br />

cities despite more spend<strong>in</strong>g.<br />

“Those are like whack-a-mole because they just sprout up and then they disappear and<br />

then they sprout up somewhere else,” said Gretchen Taylor, who helped found the<br />

Neighborhood Safety Alliance <strong>of</strong> Seattle <strong>in</strong> 2016.<br />

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Seattle is <strong>in</strong>itiat<strong>in</strong>g competitive bidd<strong>in</strong>g among nonpr<strong>of</strong>it organizations for city dollars<br />

go<strong>in</strong>g toward homelessness programs. It’s also pour<strong>in</strong>g money <strong>in</strong>to “rapid rehous<strong>in</strong>g,” a<br />

strategy that houses people quickly and then provides rental assistance for up to 18<br />

months.<br />

Like San Francisco, Seattle has started open<strong>in</strong>g 24-hour, “low-barrier” shelters that <strong>of</strong>fer<br />

beds even if people are abus<strong>in</strong>g drugs, have a pet or want to sleep together as a<br />

couple. But the city’s first 24-hour shelter has only 75 beds, and turnover is extremely<br />

low.<br />

A team <strong>of</strong> specially tra<strong>in</strong>ed police <strong>of</strong>ficers and social workers has also been visit<strong>in</strong>g<br />

homeless camps to try to place people <strong>in</strong> shelter. After repeated visits - and with 72<br />

hours <strong>of</strong> notice - the city cleans out the camps and hauls away abandoned belong<strong>in</strong>gs.<br />

<strong>The</strong>se efforts are start<strong>in</strong>g to yield results, although the overall number <strong>of</strong> homeless<br />

people cont<strong>in</strong>ues to swell.<br />

Nearly 740 families moved <strong>in</strong>to some type <strong>of</strong> shelter between October 2016 and August<br />

2017, and 39 percent <strong>of</strong> the people contacted by the new police teams w<strong>in</strong>d up<br />

sheltered, accord<strong>in</strong>g a recent city homeless report. That’s an improvement from a 5<br />

percent shelter rate 18 months ago, said Sgt. Eric Zerr, who leads that effort.<br />

But the approach has its detractors. <strong>The</strong> American Civil Liberties Union filed a lawsuit<br />

alleg<strong>in</strong>g the sweeps violate the constitutional protections aga<strong>in</strong>st unreasonable search<br />

and seizure. And a debate is rag<strong>in</strong>g about whether the sweeps are necessary “tough<br />

love” or a cruel policy that crim<strong>in</strong>alizes poverty <strong>in</strong> a city with a reputation for liberalism.<br />

“When a city can’t <strong>of</strong>fer hous<strong>in</strong>g, they should not be able to sweep that spot unless it’s<br />

pos<strong>in</strong>g some sort <strong>of</strong> significant health and safety issue,” said Sara Rank<strong>in</strong>, a pr<strong>of</strong>essor<br />

with the Homeless Rights Advocacy Project at the Seattle University School <strong>of</strong> Law.<br />

“If someone doesn’t have a place to go, you can’t just cont<strong>in</strong>ue to chase them from<br />

place to place.”<br />

Above all, the West Coast lacks long-term, low-<strong>in</strong>come hous<strong>in</strong>g for people like Ashley<br />

Dibble and her 3-year-old daughter.<br />

Dibble, 29, says she has been homeless <strong>of</strong>f and on for about a year, after her exboyfriend<br />

squandered money on his car and didn’t pay the rent for three months.<br />

Evicted, Dibble says she lived <strong>in</strong> the back <strong>of</strong> a mov<strong>in</strong>g truck and with several different<br />

friends around Seattle before w<strong>in</strong>d<strong>in</strong>g up on the streets. She sent her toddler to live with<br />

the girl’s paternal grandparents <strong>in</strong> Florida.<br />

She and her new boyfriend were sleep<strong>in</strong>g under tarps near Safeco Field, home <strong>of</strong> the<br />

Seattle Mar<strong>in</strong>ers, when an outreach team referred them to a new shelter. Now, Dibble<br />

talks to her daughter daily by phone and is try<strong>in</strong>g to f<strong>in</strong>d a way back <strong>in</strong>to hous<strong>in</strong>g so she<br />

can br<strong>in</strong>g her home.<br />

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With an eviction on her record and little <strong>in</strong>come, no one will rent to her.<br />

“I’ve had so many doors slammed <strong>in</strong> my face, it’s ridiculous,” Dibble said, wip<strong>in</strong>g away<br />

tears.<br />

Seattle’s DESC operates 1,200 so-called “permanent supportive hous<strong>in</strong>g units” -<br />

hous<strong>in</strong>g for the mentally ill or severely addicted who can’t stay housed without constant<br />

help from case managers, counselors and rehabilitation programs. <strong>The</strong> nonpr<strong>of</strong>it<br />

completes a new build<strong>in</strong>g every 18 months and they immediately fill; at any given time,<br />

there are only about eight to 10 units free <strong>in</strong> the whole city - but 1,600 people qualify.<br />

Among this population, “almost nobody’s go<strong>in</strong>g to get hous<strong>in</strong>g because there isn’t any,”<br />

DESC’s Margaret K<strong>in</strong>g said. “It doesn’t really matter.”<br />

<strong>The</strong>re is so little hous<strong>in</strong>g, and so much despair. Nonpr<strong>of</strong>it workers with decades <strong>of</strong><br />

experience are shocked by the surge <strong>in</strong> homeless people and <strong>in</strong> the banality <strong>of</strong> the<br />

ways they wound up on the streets.<br />

“It’s a sea <strong>of</strong> humanity crash<strong>in</strong>g aga<strong>in</strong>st services, and services at this po<strong>in</strong>t are<br />

overwhelmed, literally overwhelmed. It’s catastrophic,” said Jeremy Lemo<strong>in</strong>e, an<br />

outreach case manager with REACH, a Seattle homeless-assistance program. “It’s a<br />

refugee crisis right here <strong>in</strong> the States, right here under our noses.”<br />

“I don’t mean to sound hopeless. I generate hope for a liv<strong>in</strong>g for people - that there is a<br />

future for them - but we need to address it now.”<br />

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Page 48 <strong>of</strong> 289


III. <strong>The</strong> Work<strong>in</strong>g Poor<br />

<strong>The</strong> work<strong>in</strong>g poor are work<strong>in</strong>g people whose <strong>in</strong>comes fall below a given poverty l<strong>in</strong>e<br />

due to lack <strong>of</strong> work hours and/or low wages. Largely because they are earn<strong>in</strong>g such low<br />

wages, the work<strong>in</strong>g poor face numerous obstacles that make it difficult for many <strong>of</strong> them<br />

to f<strong>in</strong>d and keep a job, save up money, and ma<strong>in</strong>ta<strong>in</strong> a sense <strong>of</strong> self-worth.<br />

<strong>The</strong> <strong>of</strong>ficial work<strong>in</strong>g poverty rate <strong>in</strong> the <strong>US</strong> has rema<strong>in</strong>ed relatively static over the past<br />

four decades, but many social scientists argue that the <strong>of</strong>ficial rate is set too low, and<br />

that the proportion <strong>of</strong> workers fac<strong>in</strong>g significant f<strong>in</strong>ancial hardship has <strong>in</strong>stead <strong>in</strong>creased<br />

over the years. Changes <strong>in</strong> the economy, especially the shift from a manufactur<strong>in</strong>gbased<br />

to a service-based economy, have resulted <strong>in</strong> the polarization <strong>of</strong> the labor<br />

market. This means that there are more jobs at the top and the bottom <strong>of</strong> the <strong>in</strong>come<br />

spectrum, but fewer jobs <strong>in</strong> the middle.<br />

<strong>The</strong>re are a wide range <strong>of</strong> anti-poverty policies that have been shown to improve the<br />

situation <strong>of</strong> the work<strong>in</strong>g poor. Research suggests that <strong>in</strong>creas<strong>in</strong>g welfare state<br />

generosity is the most effective way to reduce poverty and work<strong>in</strong>g poverty. Other tools<br />

available to governments are <strong>in</strong>creas<strong>in</strong>g m<strong>in</strong>imum wages across a nation, and<br />

absorb<strong>in</strong>g educational and health care costs for children <strong>of</strong> the work<strong>in</strong>g poor.<br />

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Conceptualiz<strong>in</strong>g Work<strong>in</strong>g Poverty<br />

In the United States, the issue <strong>of</strong> work<strong>in</strong>g poverty was <strong>in</strong>itially brought to the public's<br />

attention dur<strong>in</strong>g the Progressive Era (1890s–1920s). Progressive Era th<strong>in</strong>kers like<br />

Robert Hunter, Jane Addams, and W.E.B. Du Bois saw society's unequal opportunity<br />

structure as the root cause <strong>of</strong> poverty and work<strong>in</strong>g poverty, but they also saw a l<strong>in</strong>k<br />

between moral factors and poverty. In his study <strong>of</strong> Philadelphia's African American<br />

neighborhoods, W.E.B. Du Bois draws a dist<strong>in</strong>ction between "hardwork<strong>in</strong>g" poor people<br />

who fail to escape poverty due to racial discrim<strong>in</strong>ation and those who are poor due to<br />

moral deficiencies such as laz<strong>in</strong>ess or lack <strong>of</strong> perseverance.<br />

After the Great Depression, the New Deal, and World War II, the United States<br />

experienced an era <strong>of</strong> prosperity dur<strong>in</strong>g which most workers experienced significant<br />

ga<strong>in</strong>s <strong>in</strong> wages and work<strong>in</strong>g conditions. Dur<strong>in</strong>g this period (1930s–1950s), scholars<br />

shifted their attention away from poverty and work<strong>in</strong>g poverty. However, <strong>in</strong> the late<br />

1950s and early 1960s American scholars and policymakers began to revisit the<br />

problem. Influential books like John Kenneth Galbraith's <strong>The</strong> Affluent Society (1958) and<br />

Michael Harr<strong>in</strong>gton's <strong>The</strong> Other America (1962) re<strong>in</strong>vigorated the discussions on<br />

poverty and work<strong>in</strong>g poverty <strong>in</strong> the United States.<br />

S<strong>in</strong>ce the start <strong>of</strong> the War on Poverty <strong>in</strong> the 1960s, scholars and policymakers on both<br />

ends <strong>of</strong> the political spectrum have paid an <strong>in</strong>creas<strong>in</strong>g amount <strong>of</strong> attention to work<strong>in</strong>g<br />

poverty. One <strong>of</strong> the key ongo<strong>in</strong>g debates concerns the dist<strong>in</strong>ction between the work<strong>in</strong>g<br />

and the nonwork<strong>in</strong>g (unemployed) poor. Conservative scholars tend to see nonwork<strong>in</strong>g<br />

poverty as a more urgent problem than work<strong>in</strong>g poverty because they believe that nonwork<br />

is a moral hazard that leads to welfare dependency and laz<strong>in</strong>ess, whereas work,<br />

even poorly paid work, is morally beneficial. In order to solve the problem <strong>of</strong> nonwork<strong>in</strong>g<br />

poverty, some conservative scholars argue that the government must stop "coddl<strong>in</strong>g"<br />

the poor with welfare benefits like AFDC/TANF.<br />

On the other hand, liberal scholars and policymakers <strong>of</strong>ten argue that most work<strong>in</strong>g and<br />

nonwork<strong>in</strong>g poor people are quite similar. Studies compar<strong>in</strong>g s<strong>in</strong>gle mothers on and <strong>of</strong>f<br />

welfare show that receiv<strong>in</strong>g welfare payments does not degrade a person's desire to<br />

f<strong>in</strong>d a job and get <strong>of</strong>f <strong>of</strong> welfare. <strong>The</strong> ma<strong>in</strong> difference between the work<strong>in</strong>g and the<br />

nonwork<strong>in</strong>g poor, they argue, is that the nonwork<strong>in</strong>g poor have a more difficult time<br />

overcom<strong>in</strong>g basic barriers to entry <strong>in</strong>to the labor market, such as arrang<strong>in</strong>g for<br />

affordable childcare, f<strong>in</strong>d<strong>in</strong>g hous<strong>in</strong>g near potential jobs, or arrang<strong>in</strong>g for transportation<br />

to and from work. In order to help the nonwork<strong>in</strong>g poor ga<strong>in</strong> entry <strong>in</strong>to the labor market,<br />

liberal scholars and policymakers argue that the government should provide more<br />

hous<strong>in</strong>g assistance, childcare, and other k<strong>in</strong>ds <strong>of</strong> aid to poor families.<br />

Discussions about the alleviation <strong>of</strong> work<strong>in</strong>g poverty are also politically charged.<br />

Conservative scholars and policymakers <strong>of</strong>ten attribute the prevalence <strong>of</strong> <strong>in</strong>equality and<br />

work<strong>in</strong>g poverty to overregulation and overtaxation, which they claim constricts job<br />

growth. In order to lower the rate <strong>of</strong> work<strong>in</strong>g poverty, conservatives advocate reduc<strong>in</strong>g<br />

welfare benefits and enact<strong>in</strong>g less str<strong>in</strong>gent labor laws. On the other hand, many<br />

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liberals argue that work<strong>in</strong>g poverty can only be solved through <strong>in</strong>creased, not<br />

decreased, government <strong>in</strong>tervention. This government <strong>in</strong>tervention could <strong>in</strong>clude<br />

workplace reforms (such as higher m<strong>in</strong>imum wages, liv<strong>in</strong>g wage laws, job tra<strong>in</strong><strong>in</strong>g<br />

programs, etc.) and an <strong>in</strong>crease <strong>in</strong> government transfers (such as hous<strong>in</strong>g, food,<br />

childcare, and healthcare subsidies).<br />

Absolute<br />

Measur<strong>in</strong>g Work<strong>in</strong>g Poverty<br />

Accord<strong>in</strong>g to the <strong>US</strong> Department <strong>of</strong> Labor, the work<strong>in</strong>g poor "are persons who spent at<br />

least 27 weeks [<strong>in</strong> the past year] <strong>in</strong> the labor force (that is, work<strong>in</strong>g or look<strong>in</strong>g for work),<br />

but whose <strong>in</strong>comes fell below the <strong>of</strong>ficial poverty level." In other words, if someone<br />

spent more than half <strong>of</strong> the past year <strong>in</strong> the labor force without earn<strong>in</strong>g more than the<br />

<strong>of</strong>ficial poverty threshold, the <strong>US</strong> Department <strong>of</strong> Labor would classify them as "work<strong>in</strong>g<br />

poor." (Note: <strong>The</strong> <strong>of</strong>ficial poverty threshold, which is set by the <strong>US</strong> Census Bureau,<br />

varies depend<strong>in</strong>g on the size <strong>of</strong> a family and the age <strong>of</strong> the family members.) <strong>The</strong> <strong>US</strong><br />

Bureau <strong>of</strong> Labor Statistics calculates work<strong>in</strong>g poverty rates for all work<strong>in</strong>g <strong>in</strong>dividuals, all<br />

families with at least one worker, and all "unrelated <strong>in</strong>dividuals." <strong>The</strong> <strong>in</strong>dividual-level<br />

work<strong>in</strong>g poverty rate calculates the percentage <strong>of</strong> all workers whose <strong>in</strong>comes fall below<br />

the poverty threshold. In 2009, the <strong>in</strong>dividual-level work<strong>in</strong>g poverty rate <strong>in</strong> the <strong>US</strong> was<br />

7%, compared to 4.7% <strong>in</strong> 2000. <strong>The</strong> family-level work<strong>in</strong>g poverty rate only <strong>in</strong>cludes<br />

families <strong>of</strong> two or more people who are related by birth, marriage, or adoption.<br />

Accord<strong>in</strong>g to the Bureau <strong>of</strong> Labor Statistics' def<strong>in</strong>ition <strong>of</strong> family-level work<strong>in</strong>g poverty, a<br />

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family is work<strong>in</strong>g poor if the comb<strong>in</strong>ed cash <strong>in</strong>come <strong>of</strong> the family falls below the poverty<br />

threshold for a family <strong>of</strong> their size. In 2009, the family-level work<strong>in</strong>g poverty rate <strong>in</strong> the<br />

<strong>US</strong> was 7.9%, compared to 5.6% <strong>in</strong> 2000. F<strong>in</strong>ally, the unrelated <strong>in</strong>dividual work<strong>in</strong>g<br />

poverty rate measures work<strong>in</strong>g poverty among those who do not currently live with any<br />

family members. In 2009, 11.7% <strong>of</strong> employed unrelated <strong>in</strong>dividuals were poor,<br />

compared to 7.6% <strong>in</strong> 2000.<br />

Relative<br />

In Europe and other non-<strong>US</strong>, high-<strong>in</strong>come countries, poverty and work<strong>in</strong>g poverty are<br />

def<strong>in</strong>ed <strong>in</strong> relative terms. A relative measure <strong>of</strong> poverty is based on a country's <strong>in</strong>come<br />

distribution rather than an absolute amount <strong>of</strong> money. Eurostat, the statistical <strong>of</strong>fice <strong>of</strong><br />

the European Union, classifies a household as poor if its <strong>in</strong>come is less than 60 percent<br />

<strong>of</strong> the country's median household <strong>in</strong>come. Accord<strong>in</strong>g to Eurostat, a relative measure <strong>of</strong><br />

poverty is appropriate because "m<strong>in</strong>imal acceptable standards usually differ between<br />

societies accord<strong>in</strong>g to their general level <strong>of</strong> prosperity: someone regarded as poor <strong>in</strong> a<br />

rich developed country might be regarded as rich <strong>in</strong> a poor develop<strong>in</strong>g country."<br />

When conduct<strong>in</strong>g cross-national research on work<strong>in</strong>g poverty, scholars tend to use a<br />

relative measure <strong>of</strong> poverty. In these studies, to be classified as "work<strong>in</strong>g poor," a<br />

household must satisfy the follow<strong>in</strong>g two conditions: 1) at least one member <strong>of</strong> the<br />

household must be "work<strong>in</strong>g" (which can be def<strong>in</strong>ed <strong>in</strong> various ways), and 2) the total<br />

household <strong>in</strong>come must be less than 60% (or 50%, or 40%) <strong>of</strong> the median <strong>in</strong>come for<br />

that country. Brady, Fullerton, and Cross's 2010 cross-national study on work<strong>in</strong>g poverty<br />

<strong>in</strong> high-<strong>in</strong>come countries def<strong>in</strong>es a household as work<strong>in</strong>g poor if 1) it has at least one<br />

employed person and 2) the total household <strong>in</strong>come falls below 50% <strong>of</strong> the median<br />

<strong>in</strong>come for that country. Accord<strong>in</strong>g to this relative def<strong>in</strong>ition, the <strong>US</strong>'s work<strong>in</strong>g poverty<br />

rate was 11% <strong>in</strong> the year 2000, nearly double the rate produced by the <strong>US</strong><br />

government's absolute def<strong>in</strong>ition. For the same year, Canada's work<strong>in</strong>g poverty rate<br />

was 7.8%, the UK's was 4%, and Germany's was 3.8%.<br />

Prevalence and Trends<br />

Poverty is <strong>of</strong>ten associated with joblessness, but a large proportion <strong>of</strong> poor people are<br />

actually work<strong>in</strong>g or look<strong>in</strong>g for work. In 2009, accord<strong>in</strong>g to the <strong>US</strong> Census Bureau's<br />

<strong>of</strong>ficial def<strong>in</strong>ition <strong>of</strong> poverty, 8.8 million <strong>US</strong> families were below the poverty l<strong>in</strong>e (11.1%<br />

<strong>of</strong> all families). Of these families, 5.19 million, or 58.9%, had at least one person who<br />

was classified as work<strong>in</strong>g. In the same year, there were 11.7 million unrelated<br />

<strong>in</strong>dividuals (people who do not live with family members) whose <strong>in</strong>comes fell below the<br />

<strong>of</strong>ficial poverty l<strong>in</strong>e (22% <strong>of</strong> all unrelated <strong>in</strong>dividuals). 3.9 million <strong>of</strong> these poor<br />

<strong>in</strong>dividuals, or 33%, were part <strong>of</strong> the work<strong>in</strong>g poor. <strong>The</strong> cost <strong>of</strong> rais<strong>in</strong>g a child from birth<br />

to age 18 for a middle-<strong>in</strong>come, two-parent family averaged $226,920 last year (not<br />

<strong>in</strong>clud<strong>in</strong>g college), accord<strong>in</strong>g to the U.S. Department <strong>of</strong> Agriculture. That's up nearly<br />

40% -- or more than $60,000—from 10 years ago. Just one year <strong>of</strong> spend<strong>in</strong>g on a child<br />

can cost up to $13,830 <strong>in</strong> 2010, compared to $9,860 a decade ago.<br />

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Us<strong>in</strong>g the <strong>US</strong> Census Bureau's def<strong>in</strong>ition <strong>of</strong> poverty, the work<strong>in</strong>g poverty rate seems to<br />

have rema<strong>in</strong>ed relatively stable s<strong>in</strong>ce 1978. However, many scholars have argued that<br />

the <strong>of</strong>ficial poverty threshold is too low, and that real wages and work<strong>in</strong>g conditions<br />

have actually decl<strong>in</strong>ed for many workers over the past three or four decades. Social<br />

scientists like Arne Kalleberg have found that the decl<strong>in</strong>e <strong>in</strong> <strong>US</strong> manufactur<strong>in</strong>g and the<br />

subsequent polarization <strong>of</strong> the labor market has led to an overall worsen<strong>in</strong>g <strong>of</strong> wages,<br />

job stability, and work<strong>in</strong>g conditions for people with lower skill levels and less formal<br />

education. From the mid-1940s to the mid-1970s, manufactur<strong>in</strong>g jobs <strong>of</strong>fered many lowskilled<br />

and medium-skilled workers stable, well-pay<strong>in</strong>g jobs. Due to global competition,<br />

technological advances, and other factors, <strong>US</strong> manufactur<strong>in</strong>g jobs have been<br />

disappear<strong>in</strong>g for decades. (From 1970 to 2008, the percentage <strong>of</strong> the labor force<br />

employed <strong>in</strong> the manufactur<strong>in</strong>g sector shrank from 23.4% to 9.1%.) Dur<strong>in</strong>g this period <strong>of</strong><br />

decl<strong>in</strong>e, job growth became polarized on either end <strong>of</strong> the labor market. That is, the jobs<br />

that replaced medium-pay, low- to medium-skill manufactur<strong>in</strong>g jobs were high-pay<strong>in</strong>g,<br />

high-skill jobs and low-pay<strong>in</strong>g, low-skill jobs. <strong>The</strong>refore, many low- to medium-skilled<br />

workers who would have been able to work <strong>in</strong> the manufactur<strong>in</strong>g sector <strong>in</strong> 1970 must<br />

now take low-pay<strong>in</strong>g, precarious jobs <strong>in</strong> the service sector.<br />

<strong>US</strong> Compared To<br />

Europe<br />

Other high-<strong>in</strong>come<br />

countries have also<br />

experienced<br />

decl<strong>in</strong><strong>in</strong>g<br />

manufactur<strong>in</strong>g<br />

sectors over the past<br />

four decades, but<br />

most <strong>of</strong> them have<br />

not experienced as<br />

much labor market<br />

polarization as the United States. Labor market polarization has been the most severe<br />

<strong>in</strong> liberal market economies like the <strong>US</strong>, Brita<strong>in</strong>, and Australia. Countries like Denmark<br />

and France have been subject to the same economic pressures, but due to their more<br />

"<strong>in</strong>clusive" (or "egalitarian") labor market <strong>in</strong>stitutions, such as centralized and solidaristic<br />

collective barga<strong>in</strong><strong>in</strong>g and strong m<strong>in</strong>imum wage laws, they have experienced less<br />

polarization.<br />

Cross-national studies have found that European countries' work<strong>in</strong>g poverty rates are<br />

much lower than the <strong>US</strong>'s. Most <strong>of</strong> this difference can be expla<strong>in</strong>ed by the fact that<br />

European countries' welfare states are more generous than the <strong>US</strong>'s. <strong>The</strong> relationship<br />

between generous welfare states and low rates <strong>of</strong> work<strong>in</strong>g poverty is elaborated upon <strong>in</strong><br />

the "Risk Factors" and "Anti-Poverty Policies" sections.<br />

<strong>The</strong> follow<strong>in</strong>g graph uses data from Brady, Fullerton, and Cross (2010) to show the<br />

work<strong>in</strong>g poverty rates for a small sample <strong>of</strong> countries. Brady, Fullerton, and Cross<br />

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(2010) accessed this data through the Luxembourg Income Study. This graph measures<br />

household, rather than person-level, poverty rates. A household is coded as "poor" if its<br />

<strong>in</strong>come is less than 50% <strong>of</strong> its country's median <strong>in</strong>come. This is a relative, rather than<br />

absolute, measure <strong>of</strong> poverty. A household is classified as "work<strong>in</strong>g" if at least one<br />

member <strong>of</strong> the household was employed at the time <strong>of</strong> the survey. <strong>The</strong> most important<br />

<strong>in</strong>sight conta<strong>in</strong>ed <strong>in</strong> this graph is that the <strong>US</strong> has strik<strong>in</strong>gly higher work<strong>in</strong>g poverty rates<br />

than European countries.<br />

Risk factors<br />

<strong>The</strong>re are five major categories <strong>of</strong> risk factors that <strong>in</strong>crease a person's likelihood <strong>of</strong><br />

experienc<strong>in</strong>g work<strong>in</strong>g poverty: sectoral factors, demographic factors, economic factors,<br />

labor market <strong>in</strong>stitutions, and welfare generosity. Work<strong>in</strong>g poverty is a phenomenon that<br />

affects a very wide range <strong>of</strong> people, but there are some employment sectors,<br />

demographic groups, political factors, and economic factors that are correlated with<br />

higher rates <strong>of</strong> work<strong>in</strong>g poverty than others. Sectoral and demographic factors help<br />

expla<strong>in</strong> why certa<strong>in</strong> people with<strong>in</strong> a given country are more likely than others to be<br />

work<strong>in</strong>g poor. Political and economic factors can expla<strong>in</strong> why different countries have<br />

different work<strong>in</strong>g poverty rates.<br />

Sectoral<br />

tendencies<br />

Work<strong>in</strong>g poverty is not distributed equally among employment sectors. <strong>The</strong> service<br />

sector has the highest rate <strong>of</strong> work<strong>in</strong>g poverty. In fact, 13.3% <strong>of</strong> <strong>US</strong> service sector<br />

workers found themselves below the poverty l<strong>in</strong>e <strong>in</strong> 2009. Examples <strong>of</strong> low-wage<br />

service sector workers <strong>in</strong>clude fast-food workers, home health aids, waiters/waitresses,<br />

and retail workers.<br />

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Although the service sector has the highest rate <strong>of</strong> work<strong>in</strong>g poverty, a significant portion<br />

<strong>of</strong> the work<strong>in</strong>g poor are blue-collar workers <strong>in</strong> the manufactur<strong>in</strong>g, agriculture, and<br />

construction <strong>in</strong>dustries.<br />

Most manufactur<strong>in</strong>g jobs used to <strong>of</strong>fer generous wages and benefits, but manufactur<strong>in</strong>g<br />

job quality has decl<strong>in</strong>ed over the years. Nowadays, many <strong>US</strong> manufactur<strong>in</strong>g jobs are<br />

located <strong>in</strong> right-to-work states, where it is nearly impossible for workers to form a union.<br />

This means that<br />

manufactur<strong>in</strong>g employers are<br />

able to pay lower wages and<br />

<strong>of</strong>fer fewer benefits than they<br />

used to.<br />

Demographic Factors<br />

In her book, No Shame <strong>in</strong> My<br />

Game, Kather<strong>in</strong>e Newman<br />

f<strong>in</strong>ds that "[t]he nation's<br />

young, its s<strong>in</strong>gle parents, the<br />

poorly educated, and<br />

m<strong>in</strong>orities are more likely than<br />

other workers to be poor"<br />

(p. 42). <strong>The</strong>se factors, <strong>in</strong><br />

addition to be<strong>in</strong>g part <strong>of</strong> a<br />

large household, be<strong>in</strong>g part <strong>of</strong><br />

a s<strong>in</strong>gle-earner household,<br />

be<strong>in</strong>g female, and hav<strong>in</strong>g a<br />

part-time (<strong>in</strong>stead <strong>of</strong> a fulltime)<br />

job have been found to be important work<strong>in</strong>g poverty "risk factors." Immigrant<br />

workers and self-employed workers are also more likely to be work<strong>in</strong>g poor than other<br />

k<strong>in</strong>ds <strong>of</strong> workers.<br />

<strong>Economic</strong> Factors<br />

<strong>The</strong>re is a widespread assumption that economic growth leads to tighter labor markets<br />

and higher wages. However, the evidence suggests that economic growth does not<br />

always benefit each part <strong>of</strong> the population equally. For example, the 1980s was a period<br />

<strong>of</strong> economic growth and prosperity <strong>in</strong> the United States, but most <strong>of</strong> the economic ga<strong>in</strong>s<br />

were concentrated at the top <strong>of</strong> the <strong>in</strong>come spectrum. This means that people near the<br />

bottom <strong>of</strong> the labor market did not benefit from the economic ga<strong>in</strong>s <strong>of</strong> the 1980s. In fact,<br />

many have argued that low-skilled workers experienced decl<strong>in</strong><strong>in</strong>g prosperity <strong>in</strong> the<br />

1980s. <strong>The</strong>refore, chang<strong>in</strong>g economic conditions do not have as large <strong>of</strong> an impact on<br />

work<strong>in</strong>g poverty rates as one might expect.<br />

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Labor Market Institutions<br />

Labor markets can be egalitarian, efficient, or somewhere <strong>in</strong> the middle. Accord<strong>in</strong>g to<br />

Brady, Fullerton, and Cross (2010), "[e]fficient labor markets typically feature flexibility,<br />

low unemployment, and higher economic growth, and facilitate the rapid hir<strong>in</strong>g and fir<strong>in</strong>g<br />

<strong>of</strong> workers. Egalitarian labor markets are bolstered by strong labor market <strong>in</strong>stitutions,<br />

higher wages, and greater security" (p562). <strong>The</strong> United States has an efficient labor<br />

market, whereas most European countries have egalitarian labor markets. Each system<br />

has its drawbacks, but the egalitarian labor market model is typically associated with<br />

lower rates <strong>of</strong> work<strong>in</strong>g poverty. One trade<strong>of</strong>f to this is that the "lowest skilled and least<br />

employable" people are sometimes excluded from an egalitarian labor market, and must<br />

<strong>in</strong>stead rely on government aid <strong>in</strong> order to survive (p. 563). If the United States switched<br />

from an efficient to an egalitarian labor market, it might have to <strong>in</strong>crease its welfare state<br />

generosity <strong>in</strong> order to cope with a higher unemployment rate.<br />

Centralized wage barga<strong>in</strong><strong>in</strong>g is a key component <strong>of</strong> egalitarian labor markets. In a<br />

country with centralized wage barga<strong>in</strong><strong>in</strong>g <strong>in</strong>stitutions, wages for entire <strong>in</strong>dustries are<br />

negotiated at the regional or national level. This means that similar workers earn similar<br />

wages, which reduces <strong>in</strong>come <strong>in</strong>equality. Lohmann (2009) f<strong>in</strong>ds that countries with<br />

centralized wage barga<strong>in</strong><strong>in</strong>g <strong>in</strong>stitutions have lower rates <strong>of</strong> "pre-transfer" work<strong>in</strong>g<br />

poverty. <strong>The</strong> "pre-transfer" work<strong>in</strong>g poverty rate is the percentage <strong>of</strong> workers who fall<br />

below the poverty threshold based on their earned wages (not count<strong>in</strong>g government<br />

transfers).<br />

Welfare State Generosity<br />

Cross-national studies are <strong>in</strong> agreement that the most important factor affect<strong>in</strong>g work<strong>in</strong>g<br />

poverty rates is welfare state generosity. A generous welfare state spends a higher<br />

proportion <strong>of</strong> its GDP on th<strong>in</strong>gs like unemployment <strong>in</strong>surance, social security, family<br />

assistance, childcare subsidies, healthcare subsidies, hous<strong>in</strong>g subsidies, transportation<br />

subsidies, and food subsidies. Studies on work<strong>in</strong>g poverty have found that these k<strong>in</strong>ds<br />

<strong>of</strong> government spend<strong>in</strong>g can pull a significant number <strong>of</strong> people out <strong>of</strong> poverty, even if<br />

they earn low wages. Lohmann's 2009 study shows that welfare state generosity has a<br />

significant impact on the "post-transfer" rate <strong>of</strong> work<strong>in</strong>g poverty. <strong>The</strong> "post-transfer" rate<br />

<strong>of</strong> work<strong>in</strong>g poverty is the percentage <strong>of</strong> work<strong>in</strong>g households that fall below the poverty<br />

threshold after government aid has been taken <strong>in</strong>to account.<br />

Different types <strong>of</strong> transfers benefit different k<strong>in</strong>ds <strong>of</strong> low-wage families. Family benefits<br />

will benefit households with children and unemployment benefits will benefit households<br />

that <strong>in</strong>clude workers with significant work experience. Transfers such as old-age<br />

benefits are unlikely to benefit low-wage households unless the elderly are liv<strong>in</strong>g <strong>in</strong> the<br />

same household. Sometimes, even when benefits are available, those who qualify do<br />

not take advantage <strong>of</strong> them. Migrants <strong>in</strong> particular are less likely to take advantage <strong>of</strong><br />

the available benefits.<br />

Obstacles to Uplift<br />

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<strong>The</strong> work<strong>in</strong>g poor face many <strong>of</strong> the same daily life struggles as the nonwork<strong>in</strong>g poor, but<br />

they also face some unique obstacles. Some studies, many <strong>of</strong> them qualitative, provide<br />

detailed <strong>in</strong>sights <strong>in</strong>to the obstacles that h<strong>in</strong>der workers' ability to f<strong>in</strong>d jobs, keep jobs,<br />

and make ends meet. Some <strong>of</strong> the most common struggles faced by the work<strong>in</strong>g poor<br />

are f<strong>in</strong>d<strong>in</strong>g affordable hous<strong>in</strong>g, arrang<strong>in</strong>g transportation to and from work, buy<strong>in</strong>g basic<br />

necessities, arrang<strong>in</strong>g childcare, hav<strong>in</strong>g unpredictable work schedules, juggl<strong>in</strong>g two or<br />

more jobs, and cop<strong>in</strong>g with low-status work.<br />

Hous<strong>in</strong>g<br />

Work<strong>in</strong>g poor people who do not<br />

have friends or relatives with whom<br />

they can live <strong>of</strong>ten f<strong>in</strong>d themselves<br />

unable to rent an apartment <strong>of</strong> their<br />

own. Although the work<strong>in</strong>g poor are<br />

employed at least some <strong>of</strong> the time,<br />

they <strong>of</strong>ten f<strong>in</strong>d it difficult to save<br />

enough money for a deposit on a<br />

rental property. As a result, many<br />

work<strong>in</strong>g poor people end up <strong>in</strong> liv<strong>in</strong>g<br />

situations that are actually more<br />

costly than a month-to-month rental.<br />

For <strong>in</strong>stance, many work<strong>in</strong>g poor<br />

people, especially those who are <strong>in</strong><br />

some k<strong>in</strong>d <strong>of</strong> transitional phase, rent<br />

rooms <strong>in</strong> week-to-week motels.<br />

<strong>The</strong>se motel rooms tend to cost<br />

much more than a traditional rental, but they are accessible to the work<strong>in</strong>g poor<br />

because they do not require a large deposit. If someone is unable or unwill<strong>in</strong>g to pay for<br />

a room <strong>in</strong> a motel, they might live <strong>in</strong> his/her car, <strong>in</strong> a homeless shelter, or on the street.<br />

This is not a marg<strong>in</strong>al phenomenon; <strong>in</strong> fact, accord<strong>in</strong>g to the 2008 <strong>US</strong> Conference <strong>of</strong><br />

Mayors, one <strong>in</strong> five homeless people are currently employed.<br />

Of course, some work<strong>in</strong>g poor people are able to access hous<strong>in</strong>g subsidies (such as a<br />

Section 8 Hous<strong>in</strong>g Choice Voucher) to help cover their hous<strong>in</strong>g expenses. However,<br />

these hous<strong>in</strong>g subsidies are not available to everyone who meets the Section 8 <strong>in</strong>come<br />

specifications. In fact, less than 25% <strong>of</strong> people who qualify for a hous<strong>in</strong>g subsidy<br />

receive one.<br />

Education<br />

<strong>The</strong> issue with education starts many times with the work<strong>in</strong>g poor from childhood and<br />

follows them <strong>in</strong>to their struggle for a substantial <strong>in</strong>come. Children grow<strong>in</strong>g up <strong>in</strong> families<br />

<strong>of</strong> the work<strong>in</strong>g poor are not provided the same educational opportunities as their middleclass<br />

counterpart. In many cases the low <strong>in</strong>come community is filled with school that are<br />

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lack<strong>in</strong>g necessities and support needed to form a solid education. This follows students<br />

as they cont<strong>in</strong>ue <strong>in</strong> education. In many cases this h<strong>in</strong>ders the possibility for America's<br />

youth to cont<strong>in</strong>ue on to higher education. <strong>The</strong> grades and credits just are not atta<strong>in</strong>ed <strong>in</strong><br />

many cases, and the lack <strong>of</strong> guidance <strong>in</strong> the schools leaves the children <strong>of</strong> the work<strong>in</strong>g<br />

poor with no degree. Also, the lack <strong>of</strong> funds for cont<strong>in</strong>u<strong>in</strong>g education causes these<br />

children to fall beh<strong>in</strong>d. In many cases, their parents did not cont<strong>in</strong>ue on <strong>in</strong>to higher<br />

education and because <strong>of</strong> this have a difficult time f<strong>in</strong>d<strong>in</strong>g jobs with salaries that can<br />

support a family. Today a college degree is a requirement for many jobs, and it is the<br />

low skill jobs that usually only require a high school degree or GED. <strong>The</strong> <strong>in</strong>equality <strong>in</strong><br />

available education cont<strong>in</strong>ues the vicious cycle <strong>of</strong> families enter<strong>in</strong>g <strong>in</strong>to the work<strong>in</strong>g<br />

poor.<br />

Transportation<br />

Given the fact that many work<strong>in</strong>g poor people do not own a car or cannot afford to drive<br />

their car, where they live can significantly limit where they are able to work, and vice<br />

versa. Given the fact that public transportation <strong>in</strong> many <strong>US</strong> cities is sparse, expensive,<br />

or non-existent, this is a particularly salient obstacle. Some work<strong>in</strong>g poor people are<br />

able to use their social networks—if they have them—to meet their transportation<br />

needs. In a study on low-<strong>in</strong>come s<strong>in</strong>gle mothers, Ed<strong>in</strong> and Le<strong>in</strong> found that s<strong>in</strong>gle<br />

mothers who had someone to drive them to and from work were much more likely to be<br />

able to support themselves without rely<strong>in</strong>g on government aid.<br />

Basic Necessities<br />

Like the unemployed poor, the work<strong>in</strong>g poor struggle to pay for basic necessities like<br />

food, cloth<strong>in</strong>g, hous<strong>in</strong>g, and transportation. In some cases, however, the work<strong>in</strong>g poor's<br />

basic expenses can be higher than the unemployed poor's. For <strong>in</strong>stance, the work<strong>in</strong>g<br />

poor's cloth<strong>in</strong>g expenses may be higher than the unemployed poor's because they must<br />

purchase specific clothes or uniforms for their jobs. Also, because the work<strong>in</strong>g poor are<br />

spend<strong>in</strong>g much <strong>of</strong> their time at work, they may not have the time to prepare their own<br />

food. In this case, they may frequently resort to eat<strong>in</strong>g fast food, which is less healthful<br />

and more expensive than home-prepared food.<br />

Childcare<br />

Work<strong>in</strong>g poor parents with young children, especially s<strong>in</strong>gle parents, face significantly<br />

more childcare-related obstacles than other people. Often, childcare costs can exceed a<br />

low-wage earners' <strong>in</strong>come, mak<strong>in</strong>g work, especially <strong>in</strong> a job with no potential for<br />

advancement, an economically illogical activity. However, some s<strong>in</strong>gle parents are able<br />

to rely on their social networks to provide free or below-market-cost childcare. <strong>The</strong>re are<br />

also some free childcare options provided by the government, such as the Head Start<br />

Program. However, these free options are only available dur<strong>in</strong>g certa<strong>in</strong> hours, which<br />

may limit parents' ability to take jobs that require late-night shifts.<strong>The</strong> U.S. "average"<br />

seems to suggest that for one toddler, <strong>in</strong> full-time day care, on weekdays, the cost is<br />

approximately $600.00 per month. But, that figure can rise to well over $1000.00 per<br />

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month <strong>in</strong> major metro areas, and fall to less than $350 <strong>in</strong> rural areas.<strong>The</strong> average cost<br />

<strong>of</strong> center-based daycare <strong>in</strong> the United States is $11,666 per year ($972 a month), but<br />

prices range from $3,582 to $18,773 a year ($300 to $1,564 monthly), accord<strong>in</strong>g to the<br />

National Association <strong>of</strong> Child Care Resource & Referral Agencies (NACCRRA).<br />

Work Schedules<br />

Many low-wage jobs force workers to accept irregular schedules. In fact, some<br />

employers will not hire someone unless they have "open availability," which means<br />

be<strong>in</strong>g available to work any time, any day. This makes it difficult for workers to arrange<br />

for childcare and to take on a second job. In addition, work<strong>in</strong>g poor people's work<strong>in</strong>g<br />

hours can fluctuate wildly from one week to the next, mak<strong>in</strong>g it difficult for them to<br />

budget effectively and save up money.<br />

Multiple Jobs<br />

Many low-wage workers have to work multiple jobs <strong>in</strong> order to make ends meet. In<br />

1996, 6.2 percent <strong>of</strong> the workforce held two or more full- or part-time jobs. Most <strong>of</strong> these<br />

people held two part-time jobs or one part-time job and one full-time job, but 4% <strong>of</strong> men<br />

and 2% <strong>of</strong> women held two full-time jobs at the same time. This can be physically<br />

exhaust<strong>in</strong>g and can <strong>of</strong>ten lead to short and long-term health problems.<br />

Low-Status Work<br />

Many low-wage service sector jobs require a great deal <strong>of</strong> customer service work.<br />

Although not all customer service jobs are low-wage or low-status, many <strong>of</strong> them are.<br />

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Some argue that the low status nature <strong>of</strong> some jobs can have negative psychological<br />

effects on workers, but others argue that low status workers come up with cop<strong>in</strong>g<br />

mechanisms that allow them to ma<strong>in</strong>ta<strong>in</strong> a strong sense <strong>of</strong> self-worth. One <strong>of</strong> these<br />

cop<strong>in</strong>g mechanisms is called boundary work. Boundary work happens when one group<br />

<strong>of</strong> people valorize their own social position by compar<strong>in</strong>g themselves to another group,<br />

who they perceive to be <strong>in</strong>ferior <strong>in</strong> some way. For example, Newman (1999) found that<br />

fast food workers <strong>in</strong> New York City cope with the low-status nature <strong>of</strong> their job by<br />

compar<strong>in</strong>g themselves to the unemployed, who they perceive to be even lower-status<br />

than themselves. Thus, although the low-status nature <strong>of</strong> work<strong>in</strong>g poor people's jobs<br />

may have some negative psychological effects, some, but probably not all, <strong>of</strong> these<br />

negative effects can be counteracted through cop<strong>in</strong>g mechanisms such as boundary<br />

work.<br />

Anti-Poverty Policies<br />

Scholars, policymakers, and others have come up with a variety <strong>of</strong> proposals for how to<br />

reduce or elim<strong>in</strong>ate work<strong>in</strong>g poverty. Most <strong>of</strong> these proposals are directed toward the<br />

United States, but they might also be relevant to other countries. <strong>The</strong> rema<strong>in</strong>der <strong>of</strong> the<br />

section outl<strong>in</strong>es the pros and cons <strong>of</strong> some <strong>of</strong> the most commonly proposed solutions.<br />

Welfare State Generosity<br />

Cross-national studies like Lohmann (2009) and Brady, Fullerton, and Cross (2010)<br />

clearly show that countries with generous welfare states have lower levels <strong>of</strong> work<strong>in</strong>g<br />

poverty than countries with less-generous welfare states, even when factors like<br />

demography, economic performance, and labor market <strong>in</strong>stitutions are taken <strong>in</strong>to<br />

account. Hav<strong>in</strong>g a generous welfare state does two key th<strong>in</strong>gs to reduce work<strong>in</strong>g<br />

poverty: it raises the m<strong>in</strong>imum level <strong>of</strong> wages that people are will<strong>in</strong>g to accept, and it<br />

pulls a large portion <strong>of</strong> low-wage workers out <strong>of</strong> poverty by provid<strong>in</strong>g them with an array<br />

<strong>of</strong> cash and non-cash government benefits. Many th<strong>in</strong>k that <strong>in</strong>creas<strong>in</strong>g the United<br />

States' welfare state generosity would lower the work<strong>in</strong>g poverty rate. A common<br />

critique <strong>of</strong> this proposal is that a generous welfare state would not work because it<br />

would stagnate the economy, raise unemployment, and degrade people's work ethic.<br />

However, as <strong>of</strong> 2011, most European countries have a lower unemployment rate than<br />

the <strong>US</strong>. Furthermore, although Western European economies' growth rates can be<br />

lower than the <strong>US</strong>'s from time to time, their growth rates tend to be more stable,<br />

whereas the <strong>US</strong>'s tends to fluctuate relatively severely. Individual states <strong>of</strong>fer f<strong>in</strong>ancial<br />

assistance for child care, but the aid varies widely. Most assistance is adm<strong>in</strong>istered<br />

through the Child Care and Development Block Grants. Check here to f<strong>in</strong>d the contact<br />

<strong>in</strong>formation for your state. Many subsidies have strict <strong>in</strong>come guidel<strong>in</strong>es and are<br />

generally for families with children under 13 (the age limit is <strong>of</strong>ten extended if the child<br />

has a disability). Many subsidies permit home-based care, but some only accept a day<br />

care center, so check the requirements. If you need to use an authorized provider, ask if<br />

they will put you <strong>in</strong> touch with an agency that can help you f<strong>in</strong>d one.<br />

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Some states distribute funds through social or health departments or agencies (like this<br />

one <strong>in</strong> Wash<strong>in</strong>gton State). For example, the Children's Cab<strong>in</strong>et <strong>in</strong> Nevada can refer<br />

families to providers, help them apply for subsidies and can even help families who<br />

want to pay a relative for care. North Carol<strong>in</strong>a's Smart Start is a public/private<br />

partnership that <strong>of</strong>fers fund<strong>in</strong>g for child care. Check the National Women's Law Center<br />

for each state's child care assistance policy.<br />

Wages and Benefits<br />

In the conclusion <strong>of</strong> her book, Nickel and Dimed (2001), Barbara Ehrenreich argues that<br />

Americans need to pressure employers to improve worker compensation. Generally<br />

speak<strong>in</strong>g, this implies a need to strengthen the labor movement. Interest<strong>in</strong>gly, crossnational<br />

statistical studies on work<strong>in</strong>g poverty suggest that generous welfare states<br />

have a larger impact on work<strong>in</strong>g poverty than strong labor movements. <strong>The</strong> labor<br />

movements <strong>in</strong> various countries have accomplished this through political parties <strong>of</strong> their<br />

own (labor parties) or strategic alliances with non-labor parties, for <strong>in</strong>stance, when<br />

striv<strong>in</strong>g to put a mean<strong>in</strong>gful m<strong>in</strong>imum wage <strong>in</strong> place. <strong>The</strong> federal government <strong>of</strong>fers a<br />

Flexible Spend<strong>in</strong>g Account (FSA) that's adm<strong>in</strong>istered through workplaces.<br />

If your job <strong>of</strong>fers an FSA (also known as a Dependent Care Account), you can put aside<br />

up to $5,000 <strong>in</strong> per-tax dollars to pay for child care expenses. If both you and your<br />

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spouse have an FSA, the family limit is $5,000—but you could get as much as $2,000 <strong>in</strong><br />

tax sav<strong>in</strong>gs if your comb<strong>in</strong>ed contributions reach the maximum.<br />

Education and Tra<strong>in</strong><strong>in</strong>g<br />

Some argue that more vocational tra<strong>in</strong><strong>in</strong>g and active labour market policies, especially<br />

<strong>in</strong> growth <strong>in</strong>dustries like healthcare and renewable energy, is the solution to work<strong>in</strong>g<br />

poverty. To be sure, wider availability <strong>of</strong> vocational tra<strong>in</strong><strong>in</strong>g could pull some people out<br />

<strong>of</strong> work<strong>in</strong>g poverty, but the fact rema<strong>in</strong>s that the low-wage service sector is a rapidly<br />

grow<strong>in</strong>g part <strong>of</strong> the <strong>US</strong> economy. Even if more nurs<strong>in</strong>g and clean energy jobs were<br />

added to the economy, there would still be a huge portion <strong>of</strong> the workforce <strong>in</strong> low-wage<br />

service sector jobs like retail, food service, and clean<strong>in</strong>g. <strong>The</strong>refore, it seems clear that<br />

any significant reduction <strong>in</strong> the work<strong>in</strong>g poverty rate will have to come from <strong>of</strong>fer<strong>in</strong>g<br />

higher wages and more benefits to the current, and future, population <strong>of</strong> service sector<br />

workers.<br />

Child Support Assurance<br />

Given the fact that such a large proportion <strong>of</strong> work<strong>in</strong>g poor households are headed by a<br />

s<strong>in</strong>gle mother, one clear way to reduce work<strong>in</strong>g poverty would be to make sure that<br />

children's fathers share the cost <strong>of</strong> child rear<strong>in</strong>g. In cases where the father cannot<br />

provide child support, scholars like Irw<strong>in</strong> Garf<strong>in</strong>kel advocate for the implementation <strong>of</strong> a<br />

child support guarantee, whereby the government pays childcare costs if the father<br />

cannot. Child support is not always a guarantee if the father or mother does not work.<br />

For example, if the parent without custody is not work<strong>in</strong>g then the parent with custody<br />

does not receive any child support unless the non work<strong>in</strong>g parent is employed at their<br />

job longer than 90 days, exclud<strong>in</strong>g if the non beg<strong>in</strong>s to work for its a city or government.<br />

Also, the government does not pay for childcare cost if you make more than the cut <strong>of</strong>f<br />

range (your gross, per county or state.)<br />

Marriage<br />

Households with two wage-earners have a significantly lower rate <strong>of</strong> work<strong>in</strong>g poverty<br />

than households with only one wage-earner. Also, households with two adults, but only<br />

one wage-earner, have lower work<strong>in</strong>g poverty rates than households with only one<br />

adult. <strong>The</strong>refore, it seems clear that hav<strong>in</strong>g two adults <strong>in</strong> a household, especially if there<br />

are children present, is more likely to keep a household out <strong>of</strong> poverty than hav<strong>in</strong>g just<br />

one adult <strong>in</strong> a household. Many scholars and policymakers have used this fact to argue<br />

that encourag<strong>in</strong>g people to get married and stay married is an effective way to reduce<br />

work<strong>in</strong>g poverty (and poverty <strong>in</strong> general). However, this is easier said than done.<br />

Research has shown that low-<strong>in</strong>come people marry less <strong>of</strong>ten than higher-<strong>in</strong>come<br />

people because they have a more difficult time f<strong>in</strong>d<strong>in</strong>g a partner who is employed, which<br />

is <strong>of</strong>ten seen as a prerequisite for marriage. <strong>The</strong>refore, unless the employment<br />

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opportunity structure is improved, simply <strong>in</strong>creas<strong>in</strong>g the number <strong>of</strong> marriages among<br />

low-<strong>in</strong>come people would be unlikely to lower work<strong>in</strong>g poverty rates.<br />

Ultimately, effective solutions to work<strong>in</strong>g poverty are multifaceted. Each <strong>of</strong> the<br />

aforementioned proposals could help reduce work<strong>in</strong>g poverty <strong>in</strong> the United States, but<br />

they might have a greater impact if at least a few <strong>of</strong> them were pursued simultaneously.<br />

________<br />

5 Myths About <strong>The</strong> Work<strong>in</strong>g Poor In America<br />

September 7, 2016 Posted by Mary Babic<br />

While many <strong>of</strong> us enjoyed a day <strong>of</strong> rest at the tail end <strong>of</strong> a steamy summer, a whole lot<br />

<strong>of</strong> people rolled out <strong>of</strong> bed and headed <strong>in</strong>to work on Labor Day. Of course, they’re the<br />

ones most <strong>in</strong> need <strong>of</strong> a day <strong>of</strong>f.<br />

Work<strong>in</strong>g full-time can be tir<strong>in</strong>g. Work<strong>in</strong>g full-time at many low-wage jobs can be<br />

exhaust<strong>in</strong>g, and stressful. Surviv<strong>in</strong>g on low wages <strong>in</strong> the <strong>US</strong> requires strength and<br />

stam<strong>in</strong>a, perfect health, and some serious penny p<strong>in</strong>ch<strong>in</strong>g.<br />

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It’s time to bust some myths and pay these workers the wages, and respect, they<br />

deserve. <strong>The</strong>n check out our map and report for more <strong>in</strong>fo on An agenda to give<br />

America’s work<strong>in</strong>g poor a raise.<br />

Myth #1: Most workers <strong>in</strong> low-wage jobs are young or start<strong>in</strong>g out at the entry<br />

level.<br />

If you def<strong>in</strong>e a “low” wage as under $15 per hour, you’re referr<strong>in</strong>g to almost half the<br />

workforce <strong>in</strong> the <strong>US</strong>.<br />

Today 73 percent <strong>of</strong> workers earn<strong>in</strong>g under $15 per hour nationwide are older than 25.<br />

Overall, 58 million workers (44 percent) earn under $15 an hour; 42 million earn under<br />

$12 an hour. Many are parents <strong>of</strong> young children. Over 125 million people, <strong>in</strong>clud<strong>in</strong>g<br />

over 31.5 million children, live <strong>in</strong> households with at least one worker earn<strong>in</strong>g under $15<br />

an hour. That’s more than 42 percent <strong>of</strong> the children <strong>in</strong> the <strong>US</strong>. Roughly one third <strong>of</strong><br />

parents earn<strong>in</strong>g low wages are s<strong>in</strong>gle parents.<br />

While some workers may f<strong>in</strong>d ladders out <strong>of</strong> low-wage jobs, millions stay <strong>in</strong> these jobs<br />

for their work<strong>in</strong>g lives. For example, the median age <strong>of</strong> the more than 1.4 million home<br />

care aides <strong>in</strong> the <strong>US</strong> is 45; nearly half graduated high school and have had some<br />

college education; the majority work full-time. However, with a median wage <strong>of</strong> $10.25<br />

an hour, 54 percent live near poverty. This is one <strong>of</strong> the fastest-grow<strong>in</strong>g occupations <strong>in</strong><br />

the <strong>US</strong>, projected to <strong>in</strong>crease by 26 percent <strong>in</strong> the next ten years.<br />

For decades, <strong>US</strong> workers have faced wage stagnation and a federal m<strong>in</strong>imum wage<br />

that has not budged s<strong>in</strong>ce Congress last raised it <strong>in</strong> 2009 certa<strong>in</strong>ly has not helped. For<br />

seven years, it’s been stuck at $7.25 an hour: $290 a week, $15,000 a year. In that<br />

time, the cost <strong>of</strong> groceries has <strong>in</strong>creased 25 percent; rent has <strong>in</strong>creased over 50<br />

percent.<br />

Myth #2: Most employers provide workers with earned sick time after a certa<strong>in</strong><br />

tenure on the job.<br />

Not only is this not true, <strong>in</strong> a cruel twist <strong>of</strong> fate, it has a disproportionate effect on those<br />

who can least afford it. In the private sector, well-paid workers are much more likely to<br />

enjoy paid sick leave than low-wage workers: 80 percent <strong>of</strong> high-wage workers have<br />

sick time vs. 15 percent <strong>of</strong> low-wage workers.<br />

<strong>The</strong> <strong>US</strong> is unique among developed nations <strong>in</strong> not requir<strong>in</strong>g employers to provide sick<br />

days. In fact, the law does not even protect workers from be<strong>in</strong>g fired if they miss work<br />

due to illness. In a recent Oxfam survey, one <strong>in</strong> seven low-wage women workers<br />

reported hav<strong>in</strong>g lost a job as a result <strong>of</strong> tak<strong>in</strong>g a sick day.<br />

This leaves low-wage workers g<strong>in</strong>gerly walk<strong>in</strong>g a tightrope over a vertig<strong>in</strong>ous drop, <strong>of</strong>ten<br />

hold<strong>in</strong>g hands with young children and ag<strong>in</strong>g parents, pray<strong>in</strong>g that no one will catch a<br />

cold, contract the flu, break a bone, or get a stomach bug. Any hitch, and they could all<br />

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e fall<strong>in</strong>g toward economic catastrophe: days or weeks without pay can mean miss<strong>in</strong>g<br />

rent, skimp<strong>in</strong>g on groceries, turn<strong>in</strong>g <strong>of</strong>f the heat.<br />

Myth #3: <strong>The</strong> low-wage workforce cuts across all populations: race, gender, age<br />

While this has an element <strong>of</strong> truth, the core reality is that women and people <strong>of</strong> color do<br />

more than their fair share <strong>of</strong> low-wage work.<br />

<strong>The</strong> majority <strong>of</strong> low-wage workers are white, but black and Hispanic workers are far<br />

more likely to be <strong>in</strong> low-wage jobs. More than half (53 percent) <strong>of</strong> black workers and 60<br />

percent <strong>of</strong> Hispanic workers earn under $15 an hour. In some states, the numbers are<br />

stagger<strong>in</strong>g: <strong>in</strong> North Carol<strong>in</strong>a, three quarters <strong>of</strong> Hispanic workers earn under $15 an<br />

hour.<br />

Despite women represent<strong>in</strong>g less than half <strong>of</strong> the workforce (49 percent), they are well<br />

over half (nearly 55 percent) <strong>of</strong> those earn<strong>in</strong>g under $12 an hour. Many low-wage<br />

occupations (childcare workers, cashiers) are dom<strong>in</strong>ated by women. Even <strong>in</strong> other<br />

occupations, however, women earn less per hour than do men.<br />

F<strong>in</strong>ally, black and Hispanic women earn the lowest median wages per hour <strong>of</strong> any<br />

group. Hispanic women earn slightly more than half <strong>of</strong> what white men earn, roughly 54<br />

cents to the dollar; black women make 64 cents to the dollar.<br />

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Myth #4: Work<strong>in</strong>g longer and harder will pay <strong>of</strong>f.<br />

After years <strong>of</strong> hard work and long hours, some workers start the climb up the ladder to<br />

better jobs. <strong>The</strong>y may become managers <strong>of</strong> the fast food franchise, or shift supervisors<br />

on the l<strong>in</strong>e <strong>in</strong> a plant. <strong>The</strong>y may shift from hourly to salaried, and enjoy an <strong>in</strong>crease <strong>in</strong><br />

benefits and flexibility.<br />

Or not. <strong>The</strong>y may f<strong>in</strong>d they’re work<strong>in</strong>g longer hours and see<strong>in</strong>g their pay actually shr<strong>in</strong>k<br />

per hour. Until the Obama adm<strong>in</strong>istration recently raised the threshold for overtime pay,<br />

the cap had been stuck at $23,600 s<strong>in</strong>ce 1975. Any salaried worker mak<strong>in</strong>g more than<br />

that would not be compensated at “time and a half” for hours worked beyond 40 per<br />

week. This <strong>in</strong>cluded about 92 percent <strong>of</strong> the salaried workforce – and clearly brought<br />

many more benefits to employers than modestly paid employees.<br />

In May, the threshold was raised to $47,476, which impacts 12.5 million workers,<br />

especially women and people <strong>of</strong> color. Still, some <strong>in</strong> Congress are threaten<strong>in</strong>g to block<br />

implementation <strong>of</strong> the updated rule.<br />

Myth #5: Most jobs pay a liv<strong>in</strong>g wage.<br />

Of the top ten occupations <strong>in</strong> the <strong>US</strong> <strong>in</strong> 2015, only two pay a median wage <strong>of</strong> over<br />

$15.25 an hour: registered nurses and secretaries. <strong>The</strong> top three are retail sales at<br />

$10.47, cashiers at $9.82, and food preparation and serv<strong>in</strong>g at $9.09.<br />

Nationwide, more than 11 million people <strong>in</strong> these occupations alone (mostly women)<br />

scramble to susta<strong>in</strong> families on wages that <strong>of</strong>ten fall well below the <strong>of</strong>ficial federal<br />

poverty guidel<strong>in</strong>es.<br />

Many <strong>of</strong> them f<strong>in</strong>d they simply cannot survive on these wages, and turn to government<br />

programs and private charities for help. A recent study from the <strong>Economic</strong> Policy<br />

Institute estimates that 41 million workers tap public assistance programs such as food<br />

stamps, hous<strong>in</strong>g subsidies, and cash assistance. Overall, it mounts up to over $200<br />

billion a year <strong>in</strong> taxpayer dollars.<br />

________<br />

Here’s <strong>The</strong> Pa<strong>in</strong>ful Truth About What It Means To Be<br />

‘Work<strong>in</strong>g Poor’ In America<br />

By Nick W<strong>in</strong>g and Carly Schwartz<br />

05/19/2014 08:23 am ET Updated Dec 06, 2017<br />

In a nation that has long operated on the pr<strong>in</strong>ciple that an “American Dream” is available<br />

to anyone will<strong>in</strong>g to try hard enough, the term “work<strong>in</strong>g poor” may seem to have a bright<br />

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side. Sure, these <strong>in</strong>dividuals struggle f<strong>in</strong>ancially, but they have jobs — the first and most<br />

essential step toward lift<strong>in</strong>g oneself out <strong>of</strong> poverty, right?<br />

If only it were that simple.<br />

Accord<strong>in</strong>g to 2012 Census data, more than 7 percent <strong>of</strong> American workers fell below the<br />

federal poverty l<strong>in</strong>e, mak<strong>in</strong>g less than $11,170 for a s<strong>in</strong>gle person and $15,130 for a<br />

couple. By some estimates, one <strong>in</strong> four private-sector jobs <strong>in</strong> the U.S. pays under $10<br />

an hour. Last month, Senate Republicans blocked a bill that would have raised the<br />

federal m<strong>in</strong>imum wage from $7.25 to $10.10 an hour, despite overwhelm<strong>in</strong>g public<br />

support for the measure.<br />

And these numbers don’t say anyth<strong>in</strong>g about the many Americans who earn well above<br />

the <strong>of</strong>ficial poverty l<strong>in</strong>e and still barely stay afloat. In HuffPost’s “All Work, No Pay”<br />

series, the work<strong>in</strong>g poor told their own stories, pa<strong>in</strong>t<strong>in</strong>g a devastat<strong>in</strong>g portrait <strong>of</strong> their<br />

day-to-day struggles.<br />

<strong>The</strong>y’re a diverse range <strong>of</strong> people: s<strong>in</strong>gle parents, couples with and without children,<br />

young women with graduate degrees, bus<strong>in</strong>ess owners, seniors and everyone <strong>in</strong><br />

between. <strong>The</strong>ir f<strong>in</strong>ancial situations, however, show many similarities. Jobs generally<br />

provide them with the means to barely scrape by, tread<strong>in</strong>g paycheck-to-paycheck,<br />

earn<strong>in</strong>g just enough to keep from go<strong>in</strong>g under, swallow<strong>in</strong>g their pride sometimes to take<br />

food stamps or visit food banks. Others are entirely out <strong>of</strong> work, tirelessly seek<strong>in</strong>g<br />

employment and rely<strong>in</strong>g on other means to survive.<br />

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Through their words, we see what it’s really like to be “work<strong>in</strong>g poor” <strong>in</strong> America — and<br />

just how much more it looks like rock bottom than most would imag<strong>in</strong>e.<br />

Be<strong>in</strong>g work<strong>in</strong>g poor means toil<strong>in</strong>g through “pure hell” for next to noth<strong>in</strong>g.<br />

Earlier this year, 55-year-old Glenn Johnson was mak<strong>in</strong>g about $14,000 a year — or<br />

$7.93 an hour — at a Miami-area Burger K<strong>in</strong>g. He’d been <strong>in</strong> and out <strong>of</strong> the fast food<br />

<strong>in</strong>dustry for more than 30 years. Recently he watched as his employer reported a 37<br />

percent <strong>in</strong>crease <strong>in</strong> its quarterly pr<strong>of</strong>it, while cont<strong>in</strong>u<strong>in</strong>g to resist a m<strong>in</strong>imum wage<br />

<strong>in</strong>crease that workers like Johnson have been fight<strong>in</strong>g for.<br />

Johnson described his daily rout<strong>in</strong>e as “pure hell.” It’s a nonstop effort to keep the store<br />

clean and the customers and his managers — most <strong>of</strong> whom are less than half his age<br />

— happy. “Sometimes, I get home and I’m so tired, I eat d<strong>in</strong>ner, take a shower, lay<br />

down to watch TV, and I’m go<strong>in</strong>g to sleep,” he said. “Next morn<strong>in</strong>g comes. I’m tired,<br />

but I’m try<strong>in</strong>g to make it.”<br />

And yet still wish<strong>in</strong>g you could work more.<br />

While Johnson was far from enthusiastic about his work at Burger K<strong>in</strong>g, with no<br />

computer and few immediate prospects <strong>of</strong> another job, he still wished he could clock<br />

more hours. He said he worked about 35 hours a week, but wanted anywhere from 40<br />

to 50, which would make it easier to pay for his $765-a-month rent, gas and any <strong>of</strong> the<br />

th<strong>in</strong>gs he can’t currently afford. S<strong>in</strong>ce Johnson first told his story, his corporate-owned<br />

Burger K<strong>in</strong>g made him full-time and gave him a raise.<br />

Deangelo Belk, a 21-year-old Wendy’s employee mak<strong>in</strong>g $7.50 an hour, also knows the<br />

pa<strong>in</strong> <strong>of</strong> not gett<strong>in</strong>g enough hours to pay for the th<strong>in</strong>gs he wants or to help him save<br />

enough to move out <strong>of</strong> his mother’s house. He works around 10 hours a week and said<br />

that he’s regularly ignored when he asks for more time.<br />

Because you know you’re lucky to have a job, no matter how awful it is.<br />

Vanessa Powell, 29, works full time <strong>in</strong> a Goodwill warehouse <strong>in</strong> Seattle for $9.25 an<br />

hour. She holds a bachelor’s degree <strong>in</strong> English and a master’s <strong>in</strong> bus<strong>in</strong>ess<br />

adm<strong>in</strong>istration. But with her fiancé out <strong>of</strong> work, she’s just grateful to have a job, even<br />

though she occasionally feels it’s “beneath” her. Even with the job, however, it’s<br />

sometimes hard for them to get enough to eat.<br />

“I mean, yeah, it’s dirty work and <strong>of</strong>ten demean<strong>in</strong>g work, but at least it’s work,”<br />

she said. “Even though [my fiancé] only worked part time, it was still someth<strong>in</strong>g. I make<br />

enough to cover rent and electric, but we share a cell phone, which is why it’s k<strong>in</strong>d <strong>of</strong><br />

hard for both <strong>of</strong> us to search for jobs.”<br />

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But f<strong>in</strong>d<strong>in</strong>g employment can also risk the crucial aid that helps you get by.<br />

Helen Bechtol, 23, is a mother <strong>of</strong> two and a community college student with dreams <strong>of</strong><br />

graduat<strong>in</strong>g from the University <strong>of</strong> North Carol<strong>in</strong>a Wilm<strong>in</strong>gton. To help pay for child care,<br />

she took a second job, which made her <strong>in</strong>eligible for day care assistance.<br />

Ashley Schmidtbauer said her family is “not destitute, but we barely make it month to<br />

month.” She stays at home to raise her kids and has found there aren’t any easy<br />

alternatives. Her husband’s <strong>in</strong>come alone makes the family <strong>in</strong>eligible for day care<br />

assistance. “To be honest, we make roughly $35,000 a year. Somehow, we make over<br />

$10,000 more than their limits allow,” she said. “We are the <strong>in</strong>-betweeners. Not<br />

mak<strong>in</strong>g enough to live ‘comfortably’ — but not ‘poor’ enough to get any<br />

assistance either. We don’t expect handouts. We just want what is best for our<br />

family.”<br />

Be<strong>in</strong>g work<strong>in</strong>g poor means know<strong>in</strong>g it can be expensive just to keep your job.<br />

Joanne Van Vranken, 50, was laid <strong>of</strong>f <strong>in</strong> 2011. After nearly two years <strong>of</strong> unemployment,<br />

she landed a temporary adm<strong>in</strong>istrative assistant position, which requires a 60-mile<br />

round-trip commute every day. Van Vranken’s car is <strong>in</strong> desperate need <strong>of</strong> repair, but<br />

she hasn’t had the money to fix it <strong>in</strong> years. She’s worried her car will die, which could<br />

put her back <strong>in</strong> dire f<strong>in</strong>ancial straits. “And I don’t have the money to buy a new one,” she<br />

said. “But I have to do it, because we need to pay the bills.”<br />

Janet Weatherly, 43, has almost completed her doctoral degree but can’t f<strong>in</strong>d<br />

employment <strong>in</strong> her field. Instead, she’s mak<strong>in</strong>g $11 an hour as a sales associate for a<br />

major retailer. Her job is a 45-m<strong>in</strong>ute drive from her house, and a significant chunk <strong>of</strong><br />

her paycheck goes toward gas money. Weatherly’s parents put her car repairs on their<br />

credit cards. She’d like to f<strong>in</strong>ish her dissertation, but currently can’t afford to get her<br />

documents out <strong>of</strong> a storage unit halfway across the country, much less <strong>in</strong>vest more time<br />

<strong>in</strong> her education.<br />

________<br />

A Pr<strong>of</strong>ile <strong>of</strong> the Work<strong>in</strong>g Poor, 2015<br />

Bureau <strong>of</strong> Labor Statistics – April 2017<br />

In 2015, accord<strong>in</strong>g to the U.S. Census Bureau, about 43.1 million people, or 13.5<br />

percent <strong>of</strong> the nation’s population, lived below the <strong>of</strong>ficial poverty level. (See the<br />

technical notes section for examples <strong>of</strong> poverty levels.) Although the poor were primarily<br />

children and adults who had not participated <strong>in</strong> the labor force dur<strong>in</strong>g the year, 8.6<br />

million <strong>in</strong>dividuals were among the “work<strong>in</strong>g poor” <strong>in</strong> 2015, accord<strong>in</strong>g to data from the<br />

Bureau <strong>of</strong> Labor Statistics; the 8.6 million figure was down from 9.5 million <strong>in</strong> 2014. <strong>The</strong><br />

work<strong>in</strong>g poor are people who spent at least 27 weeks <strong>in</strong> the labor force (that is, work<strong>in</strong>g<br />

or look<strong>in</strong>g for work) but whose <strong>in</strong>comes still fell below the <strong>of</strong>ficial poverty level. In 2015,<br />

the work<strong>in</strong>g-poor rate—the ratio <strong>of</strong> the work<strong>in</strong>g poor to all <strong>in</strong>dividuals <strong>in</strong> the labor force<br />

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for at least 27 weeks—was 5.6 percent, 0.7 percentage po<strong>in</strong>t lower than the previous<br />

year’s figure.<br />

Follow<strong>in</strong>g are some highlights from the 2015 data:<br />

<br />

<br />

<br />

<br />

<br />

Full-time workers cont<strong>in</strong>ued to be much less likely to be among the work<strong>in</strong>g poor<br />

than were part-time workers. Among persons <strong>in</strong> the labor force for 27 weeks or<br />

more, 3.4 percent <strong>of</strong> those usually employed full time were classified as work<strong>in</strong>g<br />

poor, compared with 14.1 percent <strong>of</strong> part-time workers.<br />

Women were more likely than men to be among the work<strong>in</strong>g poor. In addition,<br />

Blacks and Hispanics cont<strong>in</strong>ued to be more than twice as likely as Whites and<br />

Asians to be among the work<strong>in</strong>g poor.<br />

<strong>The</strong> likelihood <strong>of</strong> be<strong>in</strong>g classified as work<strong>in</strong>g poor dim<strong>in</strong>ishes as workers atta<strong>in</strong><br />

higher levels <strong>of</strong> education. Among those with less than a high school diploma,<br />

16.2 percent <strong>of</strong> those who were <strong>in</strong> the labor force for at least 27 weeks were<br />

classified as work<strong>in</strong>g poor, compared with 1.7 percent <strong>of</strong> college graduates.<br />

Individuals who were employed <strong>in</strong> service occupations cont<strong>in</strong>ued to be more<br />

likely to be among the work<strong>in</strong>g poor than those employed <strong>in</strong> other major<br />

occupational groups.<br />

Among families with at least one member <strong>in</strong> the labor force for 27 weeks or more,<br />

those with children under 18 years old were about 5 times as likely as those<br />

without children to live <strong>in</strong> poverty. Families ma<strong>in</strong>ta<strong>in</strong>ed by women were almost<br />

twice as likely as families ma<strong>in</strong>ta<strong>in</strong>ed by men to be liv<strong>in</strong>g below the poverty level.<br />

Table A. Poverty status <strong>of</strong> people and primary families <strong>in</strong> the labor force for 27 weeks or more,<br />

2007–15 (Numbers <strong>in</strong> thousands)<br />

Characteristic 2007 2008 2009 2010 2011 2012 2013 2014 2015<br />

Total <strong>in</strong> the labor 146,567 147,838 147,902 146,859 147,475 148,735 149,483 150,319 152,230<br />

force 1<br />

In poverty 7,521 8,883 10,391 10,512 10,382 10,612 10,450 9,487 8,560<br />

Work<strong>in</strong>g-poor rate 5.1 6.0 7.0 7.2 7.0 7.1 7.0 6.3 5.6<br />

Unrelated<br />

33,226 32,785 33,798 34,099 33,731 34,810 35,061 35,018 35,953<br />

<strong>in</strong>dividuals<br />

In poverty 2,558 3,275 3,947 3,947 3,621 3,851 4,141 3,395 3,137<br />

Work<strong>in</strong>g-poor rate 7.7 10.0 11.7 11.6 10.7 11.1 11.8 9.7 8.7<br />

Primary families 2 65,158 65,907 65,467 64,931 66,225 66,541 66,462 66,732 67,193<br />

In poverty 4,169 4,538 5,193 5,269 5,469 5,478 5,137 5,108 4,607<br />

Work<strong>in</strong>g-poor rate 6.4 6.9 7.9 8.1 8.3 8.2 7.7 7.7 6.9<br />

1<br />

Includes <strong>in</strong>dividuals <strong>in</strong> families, not shown separately.<br />

2<br />

Primary families with at least one member <strong>in</strong> the labor force for more than half the year.<br />

Source: U.S. Bureau <strong>of</strong> Labor Statistics, Current Population Survey (CPS), Annual Social and <strong>Economic</strong> Supplement<br />

(ASEC).<br />

This report presents data on the relationship between labor force activity and poverty<br />

status <strong>in</strong> 2015 for workers and their families. <strong>The</strong>se data were collected <strong>in</strong> the 2016<br />

Annual Social and <strong>Economic</strong> Supplement to the Current Population Survey. (For a<br />

detailed description <strong>of</strong> the source <strong>of</strong> the data and an explanation <strong>of</strong> the concepts and<br />

def<strong>in</strong>itions used <strong>in</strong> the report, see the technical notes.<br />

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<strong>The</strong> specific <strong>in</strong>come thresholds used to determ<strong>in</strong>e people’s poverty status vary,<br />

depend<strong>in</strong>g on whether the <strong>in</strong>dividuals are liv<strong>in</strong>g with family members or are liv<strong>in</strong>g alone<br />

or with nonrelatives. For family members, the poverty threshold is determ<strong>in</strong>ed by their<br />

family’s total <strong>in</strong>come; for <strong>in</strong>dividuals not liv<strong>in</strong>g <strong>in</strong> families, their personal <strong>in</strong>come is used<br />

as the determ<strong>in</strong>ant.<br />

Demographic Characteristics<br />

Among those who were <strong>in</strong> the labor force for 27 weeks or more <strong>in</strong> 2015, the number <strong>of</strong><br />

women classified as work<strong>in</strong>g poor (4.5 million) was higher than that <strong>of</strong> men (4.1 million).<br />

<strong>The</strong> work<strong>in</strong>g-poor rate also cont<strong>in</strong>ued to be higher for women (6.3 percent) than for men<br />

(5.0 percent). <strong>The</strong> work<strong>in</strong>g-poor rates for both women and men were down from a year<br />

earlier.<br />

Blacks and Hispanics were more than twice as likely as Whites and Asians to be among<br />

the work<strong>in</strong>g poor. In 2015, the work<strong>in</strong>g-poor rates <strong>of</strong> Blacks and Hispanics were 11.2<br />

percent and 10.1 percent, respectively, compared with 4.8 percent for Whites and 4.1<br />

percent for Asians.<br />

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Among Whites and Blacks, the work<strong>in</strong>g-poor rate was higher for women than for men.<br />

<strong>The</strong> rates for White women and White men who spent at least 27 weeks <strong>in</strong> the labor<br />

force were 5.2 percent and 4.4 percent, respectively. <strong>The</strong> rate for Black women was<br />

13.3 percent, compared with 8.8 percent for Black men. Among Asians and Hispanics,<br />

the rates for women and men were little different from each other.<br />

Young workers are more likely to be poor than are workers <strong>in</strong> older age groups, <strong>in</strong> part<br />

because earn<strong>in</strong>gs are lower for young workers and the unemployment rate for young<br />

workers is higher. Among youths who were <strong>in</strong> the labor force for 27 weeks or more, 10.8<br />

percent <strong>of</strong> 16- to 19-year-olds and 12.2 percent <strong>of</strong> 20- to 24-year-olds were liv<strong>in</strong>g <strong>in</strong><br />

poverty <strong>in</strong> 2015. Those rates were considerably higher than the rates for workers ages<br />

25 to 34 (6.6 percent) and 35 to 44 (6.4 percent). Workers ages 45 to 54, 55 to 64, and<br />

65 and older had lower work<strong>in</strong>g-poor rates—3.7 percent, 3.4 percent, and 1.6 percent,<br />

respectively—than did the younger age groups.<br />

Educational Atta<strong>in</strong>ment<br />

Achiev<strong>in</strong>g higher levels <strong>of</strong> education reduces the <strong>in</strong>cidence <strong>of</strong> liv<strong>in</strong>g <strong>in</strong> poverty.<br />

Individuals who complete more years <strong>of</strong> education usually have greater access to<br />

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higher pay<strong>in</strong>g jobs—such as management, pr<strong>of</strong>essional, and related occupations—than<br />

those with fewer years <strong>of</strong> education. Of all the people <strong>in</strong> the labor force for 27 weeks or<br />

more <strong>in</strong> 2015, those with less than a high school diploma had a higher work<strong>in</strong>g-poor<br />

rate (16.2 percent) than did high school graduates with no college (7.6 percent).<br />

Workers with an associate’s degree and those with a bachelor’s degree or higher had<br />

the lowest work<strong>in</strong>g-poor rates (3.8 percent and 1.7 percent, respectively). In 2015, at all<br />

levels <strong>of</strong> educational atta<strong>in</strong>ment, except for bachelor’s degree or higher, women were<br />

more likely than men to be among the work<strong>in</strong>g poor. (Among those with a bachelor’s<br />

degree or higher, men and women were equally likely to be classified as work<strong>in</strong>g poor.)<br />

Blacks and Hispanics generally were more likely to be among the work<strong>in</strong>g poor than<br />

were Whites and Asians with the same educational atta<strong>in</strong>ment.<br />

Occupation<br />

<strong>The</strong> likelihood <strong>of</strong> be<strong>in</strong>g among the<br />

work<strong>in</strong>g poor varies widely by<br />

occupation. Workers <strong>in</strong> occupations<br />

requir<strong>in</strong>g higher education and<br />

characterized by relatively high<br />

earn<strong>in</strong>gs—such as management,<br />

pr<strong>of</strong>essional, and related occupations—<br />

were least likely to be classified as<br />

work<strong>in</strong>g poor. For example, 1.8 percent<br />

<strong>of</strong> those <strong>in</strong> management, pr<strong>of</strong>essional,<br />

and related occupations were among the work<strong>in</strong>g poor <strong>in</strong> 2015. By contrast, <strong>in</strong>dividuals<br />

employed <strong>in</strong> occupations that typically do not require high levels <strong>of</strong> education and that<br />

are characterized by relatively low earn<strong>in</strong>gs were more likely to be among the work<strong>in</strong>g<br />

poor. For <strong>in</strong>stance, 11.6 percent <strong>of</strong> service workers who were <strong>in</strong> the labor force for at<br />

least 27 weeks were classified as work<strong>in</strong>g poor <strong>in</strong> 2015. Indeed, service occupations,<br />

with 3.0 million work<strong>in</strong>g poor, accounted for 38 percent <strong>of</strong> all those classified as work<strong>in</strong>g<br />

poor. Among those employed <strong>in</strong> natural resources, construction, and ma<strong>in</strong>tenance<br />

occupations, 6.9 percent were classified as work<strong>in</strong>g poor. With<strong>in</strong> this occupation group,<br />

14.1 percent <strong>of</strong> workers <strong>in</strong> farm<strong>in</strong>g, fish<strong>in</strong>g, and forestry occupations were among the<br />

work<strong>in</strong>g poor.<br />

Families<br />

In 2015, 4.6 million families were liv<strong>in</strong>g below the poverty level despite hav<strong>in</strong>g at least<br />

one member <strong>in</strong> the labor force for half the year or more. This figure was down from 5.1<br />

million <strong>in</strong> 2014. Among families with only one member <strong>in</strong> the labor force for at least 27<br />

weeks <strong>in</strong> 2015, married-couple families had a lower likelihood <strong>of</strong> liv<strong>in</strong>g below the poverty<br />

level (8.5 percent) than did families ma<strong>in</strong>ta<strong>in</strong>ed by women (23.9 percent) or by men<br />

(14.0 percent).<br />

Among families with at least one member <strong>in</strong> the labor force for more than half the year,<br />

those with children <strong>in</strong> the household were much more likely to live below the poverty<br />

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level than those without children. <strong>The</strong> proportion <strong>of</strong> families with children under age 18<br />

that lived <strong>in</strong> poverty was 11.1 percent, compared with 2.2 percent for families without<br />

children. Among families with children under 18, the work<strong>in</strong>g-poor rate for those<br />

ma<strong>in</strong>ta<strong>in</strong>ed by women (24.8 percent) was higher than that for those ma<strong>in</strong>ta<strong>in</strong>ed by men<br />

(15.3 percent). Married-couple families with children under 18 had a work<strong>in</strong>g-poor rate<br />

<strong>of</strong> 6.2 percent <strong>in</strong> 2015.<br />

Unrelated <strong>in</strong>dividuals<br />

<strong>The</strong> “unrelated <strong>in</strong>dividuals” category <strong>in</strong>cludes <strong>in</strong>dividuals who live by themselves or with<br />

others not related to them. Of the 36.0 million unrelated <strong>in</strong>dividuals who were <strong>in</strong> the<br />

labor force for half the year or longer, 3.1 million lived below the poverty level <strong>in</strong> 2015,<br />

down from 3.4 million a year earlier. <strong>The</strong> work<strong>in</strong>g-poor rate for unrelated <strong>in</strong>dividuals was<br />

8.7 percent, a decrease <strong>of</strong> 1.0 percentage po<strong>in</strong>t from the previous year’s figure.<br />

With<strong>in</strong> the group <strong>of</strong> unrelated <strong>in</strong>dividuals, teenagers cont<strong>in</strong>ued to be the most likely to<br />

be among the work<strong>in</strong>g poor. In 2015, 46.3 percent <strong>of</strong> teens who were <strong>in</strong> the labor force<br />

for 27 weeks or more and who lived on their own or with others not related to them lived<br />

below the poverty level. Overall, the work<strong>in</strong>g-poor rate for men liv<strong>in</strong>g alone or with<br />

nonrelatives was 8.2 percent, and the rate for women was 9.3 percent. <strong>The</strong> work<strong>in</strong>gpoor<br />

rates for unrelated <strong>in</strong>dividuals were 13.9 percent for Blacks, 10.7 percent for<br />

Hispanics, 8.2 percent for Asians, and 7.7 percent for Whites.<br />

Of the 3.1 million unrelated <strong>in</strong>dividuals considered to be among the work<strong>in</strong>g poor <strong>in</strong><br />

2015, about 3 out <strong>of</strong> 5 lived with others. <strong>The</strong>se <strong>in</strong>dividuals had a much higher work<strong>in</strong>gpoor<br />

rate than <strong>in</strong>dividuals who lived alone. Many unrelated <strong>in</strong>dividuals liv<strong>in</strong>g below the<br />

poverty level may live with others out <strong>of</strong> necessity. By contrast, many <strong>of</strong> those who live<br />

alone do so because they have sufficient <strong>in</strong>come to support themselves. Unrelated<br />

<strong>in</strong>dividuals’ poverty status, however, is determ<strong>in</strong>ed by each person’s resources. <strong>The</strong><br />

pool<strong>in</strong>g <strong>of</strong> resources and shar<strong>in</strong>g <strong>of</strong> liv<strong>in</strong>g expenses may permit some <strong>in</strong>dividuals <strong>in</strong> this<br />

category—who are technically classified as poor—to live at a higher standard than they<br />

would have if they lived alone.<br />

Labor Market Problems<br />

As noted earlier, people who usually work full time are less likely to live <strong>in</strong> poverty than<br />

are those who work part time, yet there rema<strong>in</strong>s a sizable group <strong>of</strong> full-time workers who<br />

live below the poverty threshold. Among those who participated <strong>in</strong> the labor force for 27<br />

weeks or more and usually worked <strong>in</strong> full-time wage and salary jobs, 3.8 million, or 3.2<br />

percent, were classified as work<strong>in</strong>g poor <strong>in</strong> 2015—down from 4.4 million a year earlier.<br />

<strong>The</strong>re are three major labor market problems that can h<strong>in</strong>der a worker’s ability to earn<br />

an <strong>in</strong>come that is above the poverty threshold: low earn<strong>in</strong>gs, periods <strong>of</strong> unemployment,<br />

and <strong>in</strong>voluntary part-time employment.<br />

In 2015, 82 percent <strong>of</strong> the work<strong>in</strong>g poor who usually work full time experienced at least<br />

one <strong>of</strong> the major labor market problems. Low earn<strong>in</strong>gs cont<strong>in</strong>ued to be the most<br />

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common problem, with 68 percent subject to low earn<strong>in</strong>gs, either as the only problem or<br />

<strong>in</strong> comb<strong>in</strong>ation with other labor market problems. About 31 percent experienced<br />

unemployment as the ma<strong>in</strong> labor market problem or <strong>in</strong> conjunction with other problems.<br />

Four percent <strong>of</strong> the work<strong>in</strong>g poor experience all three problems: low earn<strong>in</strong>gs,<br />

unemployment, and <strong>in</strong>voluntary part-time employment.<br />

Some 685,000, or 18 percent, <strong>of</strong> the work<strong>in</strong>g poor who usually worked full time did not<br />

experience any <strong>of</strong> the three primary labor market problems <strong>in</strong> 2015. <strong>The</strong>ir classification<br />

as work<strong>in</strong>g poor may be expla<strong>in</strong>ed by other factors, <strong>in</strong>clud<strong>in</strong>g short-term employment,<br />

some weeks <strong>of</strong> voluntary part-time work, or a family structure that <strong>in</strong>creases the risk <strong>of</strong><br />

poverty.<br />

********<br />

Concepts and Def<strong>in</strong>itions<br />

Poverty classification. Poverty statistics presented <strong>in</strong> this report are based on def<strong>in</strong>itions<br />

developed by the Social Security Adm<strong>in</strong>istration <strong>in</strong> 1964 and revised by federal<br />

<strong>in</strong>teragency committees <strong>in</strong> 1969 and 1981. <strong>The</strong>se def<strong>in</strong>itions orig<strong>in</strong>ally were based on<br />

the Department <strong>of</strong> Agriculture’s Economy Food Plan and reflected the different<br />

consumption requirements <strong>of</strong> families on the basis <strong>of</strong> factors such as family size and the<br />

number <strong>of</strong> children under 18 years <strong>of</strong> age.<br />

<strong>The</strong> actual poverty<br />

thresholds vary with the<br />

makeup <strong>of</strong> the family. In<br />

2015, the weighted average<br />

poverty threshold for a family<br />

<strong>of</strong> four was $24,257; for a<br />

family <strong>of</strong> n<strong>in</strong>e or more<br />

people, the threshold was<br />

$49,177; and for one person,<br />

it was $12,082. Poverty<br />

thresholds are updated each<br />

year to reflect changes <strong>in</strong> the<br />

Consumer Price Index for All<br />

Urban Consumers (CPI-U).<br />

Thresholds do not vary<br />

geographically.<br />

Low Earn<strong>in</strong>gs. <strong>The</strong> low-earn<strong>in</strong>gs level, as first developed <strong>in</strong> 1987, represented the<br />

average <strong>of</strong> the real value <strong>of</strong> the m<strong>in</strong>imum wage between 1967 and 1987 for a 40-hour<br />

workweek. <strong>The</strong> year 1967 was chosen as the base year because that was the first year<br />

<strong>in</strong> which m<strong>in</strong>imum-wage legislation covered essentially the same broad group <strong>of</strong><br />

workers that currently is covered. <strong>The</strong> low-earn<strong>in</strong>gs level has been adjusted each year<br />

s<strong>in</strong>ce then <strong>in</strong> accordance with the CPI-U, so the measure ma<strong>in</strong>ta<strong>in</strong>s the same real value<br />

that it held <strong>in</strong> 1987. In 2015, the low-earn<strong>in</strong>gs threshold was $348.85 per week.<br />

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Income. Data on <strong>in</strong>come are limited to money <strong>in</strong>come—before personal <strong>in</strong>come taxes<br />

and payroll deductions—received <strong>in</strong> the calendar year preced<strong>in</strong>g the CPS supplement.<br />

Data on <strong>in</strong>come do not <strong>in</strong>clude the value <strong>of</strong> noncash benefits, such as food stamps,<br />

Medicare, Medicaid, public hous<strong>in</strong>g, and employer-provided benefits.<br />

Labor Force. People <strong>in</strong> the labor force are those who worked or looked for work<br />

sometime dur<strong>in</strong>g the calendar year. <strong>The</strong> number <strong>of</strong> weeks <strong>in</strong> the labor force is<br />

accumulated over the entire year. <strong>The</strong> focus <strong>in</strong> this report is on people who were <strong>in</strong> the<br />

labor force for 27 weeks or more.<br />

Work<strong>in</strong>g Poor. <strong>The</strong> work<strong>in</strong>g poor are people who spent at least 27 weeks <strong>in</strong> the labor<br />

force (that is, work<strong>in</strong>g or look<strong>in</strong>g for work) but whose <strong>in</strong>comes still fell below the <strong>of</strong>ficial<br />

poverty level.<br />

Work<strong>in</strong>g-Poor Rate. This rate is the number <strong>of</strong> <strong>in</strong>dividuals <strong>in</strong> the labor force for at least<br />

27 weeks whose <strong>in</strong>comes still fell below the <strong>of</strong>ficial poverty level, as a percentage <strong>of</strong> all<br />

people who were <strong>in</strong> the labor force for at least 27 weeks dur<strong>in</strong>g the calendar year.<br />

Involuntary Part-Time Workers. <strong>The</strong>se are people who, dur<strong>in</strong>g at least 1 week <strong>of</strong> the<br />

year, worked fewer than 35 hours because <strong>of</strong> slack work or unfavorable bus<strong>in</strong>ess<br />

conditions or because they could not f<strong>in</strong>d full-time work. <strong>The</strong> number <strong>of</strong> weeks <strong>of</strong><br />

<strong>in</strong>voluntary part-time work is accumulated over the year.<br />

Occupation. This term refers to the job <strong>in</strong> which a person worked the most weeks<br />

dur<strong>in</strong>g the calendar year.<br />

Unemployed. Unemployed people are those who looked for work while not employed<br />

or those who were on lay<strong>of</strong>f from a job and were expect<strong>in</strong>g to be recalled to that job.<br />

<strong>The</strong> number <strong>of</strong> weeks unemployed is accumulated over the entire year.<br />

Family. A family is def<strong>in</strong>ed as a group <strong>of</strong> two or more people resid<strong>in</strong>g together who are<br />

related by birth, marriage, or adoption. <strong>The</strong> count <strong>of</strong> families used <strong>in</strong> this report <strong>in</strong>cludes<br />

only primary families. A primary family consists <strong>of</strong> the reference person (the<br />

householder) and all people liv<strong>in</strong>g <strong>in</strong> the household who are related to the reference<br />

person. Families are classified either as married-couple families or as those ma<strong>in</strong>ta<strong>in</strong>ed<br />

by men or women without spouses present. Family status is determ<strong>in</strong>ed at the time <strong>of</strong><br />

the survey <strong>in</strong>terview and, thus, may be different from that <strong>of</strong> the previous year.<br />

Unrelated Individuals. <strong>The</strong>se are people who are not liv<strong>in</strong>g with anyone related to<br />

them by birth, marriage, or adoption. Such <strong>in</strong>dividuals may live alone, reside <strong>in</strong> a<br />

nonrelated family household, or live <strong>in</strong> group quarters with other unrelated <strong>in</strong>dividuals.<br />

Related Children. Related children are children under age 18 (<strong>in</strong>clud<strong>in</strong>g sons,<br />

daughters, stepchildren, and adopted children) <strong>of</strong> the husband, wife, or person<br />

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ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g the family, as well as other children related to the householder by birth,<br />

marriage, or adoption.<br />

Race. White, Black or African American, and Asian are categories used to describe the<br />

race <strong>of</strong> people. People <strong>in</strong> these categories are those who selected that race group only.<br />

Data for the two rema<strong>in</strong><strong>in</strong>g race categories—American Indian and Alaska Native, and<br />

Native Hawaiian and Other Pacific Islander—and for people who selected more than<br />

one race category are <strong>in</strong>cluded <strong>in</strong> totals, but are not shown separately because the<br />

number <strong>of</strong> survey respondents is too small to develop estimates <strong>of</strong> sufficient quality for<br />

publication. In the enumeration process, race is determ<strong>in</strong>ed by the household<br />

respondent.<br />

Hispanic or Lat<strong>in</strong>o Ethnicity. This term refers to people who identified themselves <strong>in</strong><br />

the CPS enumeration process as be<strong>in</strong>g <strong>of</strong> Hispanic, Lat<strong>in</strong>o, or Spanish ethnicity. People<br />

whose ethnicity is identified as Hispanic or Lat<strong>in</strong>o may be <strong>of</strong> any race.<br />

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Page 78 <strong>of</strong> 289


IV. Mental Health<br />

Mental Health<br />

<strong>The</strong> Canadian Observatory on <strong>Homelessness</strong>/Homeless Hub<br />

People with poor mental health are more susceptible to the three ma<strong>in</strong> factors that can<br />

lead to homelessness: poverty, disaffiliation, and personal vulnerability. Because they<br />

<strong>of</strong>ten lack the capacity to susta<strong>in</strong> employment, they have little <strong>in</strong>come. Delusional<br />

th<strong>in</strong>k<strong>in</strong>g may lead them to withdraw from friends, family and other people. This loss <strong>of</strong><br />

support leaves them fewer cop<strong>in</strong>g resources <strong>in</strong> times <strong>of</strong> trouble. Mental illness can also<br />

impair a person’s ability to be resilient and resourceful; it can cloud th<strong>in</strong>k<strong>in</strong>g and impair<br />

judgment. For all these reasons, people with mental illness are at greater risk <strong>of</strong><br />

experienc<strong>in</strong>g homelessness.<br />

<strong>Homelessness</strong>, <strong>in</strong> turn,<br />

amplifies poor mental<br />

health. <strong>The</strong> stress <strong>of</strong><br />

experienc<strong>in</strong>g<br />

homelessness may<br />

exacerbate previous<br />

mental illness and<br />

encourage anxiety, fear,<br />

depression,<br />

sleeplessness and<br />

substance use. <strong>The</strong><br />

needs <strong>of</strong> people<br />

experienc<strong>in</strong>g<br />

homelessness with<br />

mental illnesses are<br />

similar to those without<br />

mental illnesses: physical<br />

safety, education,<br />

transportation, affordable<br />

hous<strong>in</strong>g, and affordable<br />

medical/dental treatment.<br />

When provid<strong>in</strong>g care to<br />

those experienc<strong>in</strong>g<br />

homelessness, it is<br />

essential to create a nonthreaten<strong>in</strong>g<br />

and supportive atmosphere, address basic needs (e.g. food and shelter),<br />

and provide accessible care.<br />

People with mental illness experience homelessness for longer periods <strong>of</strong> time and<br />

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have less contact with family and friends. In general, 30-35% <strong>of</strong> those experienc<strong>in</strong>g<br />

homelessness, and up to 75% <strong>of</strong> women experienc<strong>in</strong>g homelessness, have mental<br />

illnesses. 20-25% <strong>of</strong> people experienc<strong>in</strong>g homelessness suffer from concurrent<br />

disorders (severe mental illness and addictions). People who haves severe mental<br />

illnesses over-represent those experienc<strong>in</strong>g homelessness, as they are <strong>of</strong>ten released<br />

from hospitals and jails without proper community supports <strong>in</strong> place.<br />

Community-based mental health services play an important role. <strong>Homelessness</strong> could<br />

be drastically reduced if people with severe mental illness were able to access<br />

supportive hous<strong>in</strong>g as well as other necessary community supports.<br />

<strong>The</strong>y encounter more barriers to employment and tend to be <strong>in</strong> poorer health than other<br />

people experienc<strong>in</strong>g homelessness. Hous<strong>in</strong>g outreach services that provide a safe<br />

place to live are a vital component <strong>of</strong> stabiliz<strong>in</strong>g the illness and help<strong>in</strong>g <strong>in</strong>dividuals on<br />

their journey to recovery.<br />

________<br />

Mental Illness and <strong>Homelessness</strong> Are Connected;<br />

But not how you might th<strong>in</strong>k<br />

By Gale Holland<br />

Aug 07, 2017 | 5:00 AM<br />

Even as Los Angeles starts a $1.2-billion homeless hous<strong>in</strong>g construction program,<br />

residents from Temple City to Venice are fight<strong>in</strong>g to keep homeless projects out <strong>of</strong> their<br />

neighborhoods.<br />

But s<strong>in</strong>ce 1995, chronically homeless mentally ill people — a widely shunned subgroup<br />

— have been liv<strong>in</strong>g <strong>in</strong> Santa Monica’s Step Up on Second apartments, a block from the<br />

tourist-friendly Third Street Promenade and close enough to the beach to feel the salt<br />

air.<br />

“Look around. It’s here,” Rep. Timothy F. Murphy (R-Pa.) said dur<strong>in</strong>g a recent visit,<br />

describ<strong>in</strong>g why he sees Step Up’s residential programs as a national model.<br />

Murphy, author <strong>of</strong> a major 2016 mental health reform bill, was <strong>in</strong> Santa Monica to tour<br />

three <strong>of</strong> Step Up’s permanent supportive hous<strong>in</strong>g build<strong>in</strong>gs, which <strong>of</strong>fer apartments and<br />

counsel<strong>in</strong>g, case management and substance abuse treatment to 267 formerly<br />

homeless people with mental health issues.<br />

Dur<strong>in</strong>g the visit, <strong>The</strong> Times <strong>in</strong>terviewed Step Up Executive Director Tod Lipka, staff<br />

members and residents. Dennis Culhane, University <strong>of</strong> Pennsylvania pr<strong>of</strong>essor and<br />

homelessness researcher, and Andrew Sperl<strong>in</strong>g, legislative advocacy director for the<br />

National Alliance on Mental Illness, were <strong>in</strong>terviewed later.<br />

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Below are their edited responses to common questions about mental illness and<br />

homelessness:<br />

Are most homeless people mentally ill?<br />

A relatively small percentage <strong>of</strong> all homeless people nationwide — 13% to 15% — are<br />

mentally ill, but their symptoms — paranoia and delusions — draw attention and<br />

mislead others <strong>in</strong>to th<strong>in</strong>k<strong>in</strong>g their numbers are greater, Culhane said.<br />

However, Los Angeles’ homeless population skews heavily to s<strong>in</strong>gle adults who have<br />

lived <strong>in</strong> the streets a year or longer — a subgroup with a high <strong>in</strong>cidence <strong>of</strong> mental health<br />

issues. Local authorities estimate that 30% <strong>of</strong> the county’s homeless people have<br />

serious mental illness.<br />

Does chronic homelessness cause mental illness, or is it the other way around?<br />

Lipka said employees at his agency don’t see people develop<strong>in</strong>g serious mental illness<br />

by virtue <strong>of</strong> their homelessness. But “I do believe long-term isolation can lead to mental<br />

illness,” said Steve Elam, Step Up lead life skills coord<strong>in</strong>ator.<br />

Culhane said severely mentally ill people sometimes get treatment and aid that prevents<br />

them from becom<strong>in</strong>g homeless.<br />

How many homeless people are physically or mentally disabled?<br />

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Culhane said half the country’s homeless people have a physical or mental disability, or<br />

both. But they don’t necessarily qualify for federal disability payments, which <strong>in</strong> any<br />

case are too low — about $800 a month — to cover rent, utilities and other needs, even<br />

with food stamps tacked on, he added. Welfare reform <strong>in</strong> 1996 made it difficult for<br />

people whose impairment stems largely from substance abuse disorders to receive<br />

federal disability aid, Culhane said.<br />

“Instead <strong>of</strong> look<strong>in</strong>g at <strong>in</strong>dividuals and their biographies and conditions, the question is<br />

why is the disability system fail<strong>in</strong>g?” Culhane said.<br />

Is mental illness the result <strong>of</strong> genetics and bra<strong>in</strong> chemistry alone, or does trauma<br />

play a role?<br />

“We’re still figur<strong>in</strong>g that one out,” Sperl<strong>in</strong>g said. A strong case has been made for a<br />

genetic role <strong>in</strong> schizophrenia, but physiological and biological bra<strong>in</strong> development,<br />

environmental stressors and childhood trauma are also thought to <strong>in</strong>fluence mental<br />

health.<br />

“I grew up <strong>in</strong> Jordan Downs and Watts, I’ve seen a lot and I’ve been through two riots,”<br />

said Step Up resident Marv<strong>in</strong> Duckworth, 57. “My sense <strong>of</strong> hope and faith is not that<br />

strong.”<br />

How many mentally ill homeless people have issues with alcohol and drug abuse,<br />

and does drug addiction cause mental illness?<br />

About half <strong>of</strong> the homeless people with severe mental illness also have problems with<br />

alcohol or drugs, Culhane said. Lipka put the percentage <strong>of</strong> his agency’s clients even<br />

higher — 60% to 70% — but he and the other experts said drug use does not cause<br />

severe mental illness. Rather, homeless people with untreated mental illness selfmedicate<br />

to relieve symptoms, Lipka said.<br />

I grew up <strong>in</strong> Jordan Downs and Watts, I’ve seen a lot and I’ve been through two riots.<br />

My sense <strong>of</strong> hope and faith is not that strong.<br />

— Marv<strong>in</strong> Duckworth<br />

What is the role <strong>of</strong> prescribed medication <strong>in</strong> treat<strong>in</strong>g mentally ill homeless<br />

people? Doesn’t it turn them all <strong>in</strong>to zombies?<br />

Medication relieves symptoms, but it “doesn’t create purpose or positive mean<strong>in</strong>g <strong>in</strong><br />

your life, even if you have stabilized with hous<strong>in</strong>g,” Lipka said.<br />

Paula Boutte, Step Up’s Santa Monica program manager, said side effects affect people<br />

differently and medications and dosages <strong>of</strong>ten have to be adjusted over time. “If you<br />

experience drows<strong>in</strong>ess and can’t get up, it’s not quality <strong>of</strong> life,” Boutte said.<br />

Page 82 <strong>of</strong> 289


What about forced medication or other treatment for the most severely mentally<br />

ill homeless people?<br />

For the vast majority <strong>of</strong> homeless people, forc<strong>in</strong>g them to do anyth<strong>in</strong>g is a mistake,<br />

Lipka said.<br />

Sperl<strong>in</strong>g said Laura’s Law — which authorizes court-ordered mental health treatment for<br />

those with serious illness and a recent history <strong>of</strong> repeated violence, crim<strong>in</strong>al activity or<br />

hospitalizations — addresses some cases. But for the 2% to 3% <strong>of</strong> homeless people so<br />

symptomatic that “noth<strong>in</strong>g else works, we may need more options,” Lipka said.<br />

Why do people who grow up <strong>in</strong> foster care or state custody end up homeless?<br />

Children separated from their parents at an early age <strong>of</strong>ten suffer anxiety and<br />

depression, Sperl<strong>in</strong>g said. Lipka said grow<strong>in</strong>g up without stable relationships makes it<br />

difficult to learn life skills. After years <strong>of</strong> liv<strong>in</strong>g <strong>in</strong> group homes, “the only th<strong>in</strong>g I knew<br />

how to do was to shave and take a shower,” said Step Up resident <strong>The</strong>o Rob<strong>in</strong>, 45.<br />

Most young adults need help from family to go out on their own, and homeless youths<br />

are no exception. California’s recent law extend<strong>in</strong>g the cut<strong>of</strong>f for aid to foster children<br />

from age 18 to 21 has reduced the group’s homeless rates, Culhane said.<br />

Do some homeless people prefer to live that way?<br />

Lipka said the vast majority <strong>of</strong> the clients his agency works with — 97% — want hous<strong>in</strong>g<br />

“if the system we had to get <strong>in</strong>to hous<strong>in</strong>g wasn’t so complicated.” Many have been<br />

disappo<strong>in</strong>ted by past promises that fell through.<br />

“Hous<strong>in</strong>g becomes someth<strong>in</strong>g not <strong>in</strong> homeless people’s realm <strong>of</strong> possibility,” Lipka said.<br />

“<strong>The</strong> system has failed them, and then we blame it on them.”<br />

<strong>The</strong> system has failed them, and then we blame it on them.<br />

Page 83 <strong>of</strong> 289


— Tod Lipka, Step Up On Second<br />

Can mentally ill homeless people move on to jobs and live <strong>in</strong>dependently or will<br />

they need to be subsidized forever?<br />

For the chronically homeless <strong>in</strong> their 50s and 60s, stabilization <strong>in</strong> subsidized hous<strong>in</strong>g is<br />

the most realistic outcome, Lipka said. “We could see less <strong>in</strong>tensive, less costly<br />

permanent supportive hous<strong>in</strong>g, but that’s difficult,” he said. “It’s either you’re <strong>in</strong> it or<br />

you’re not.”<br />

Homeless young adults with mental health issues do move on to school, jobs, and <strong>in</strong><br />

some cases, <strong>in</strong>dependent liv<strong>in</strong>g.<br />

“We have a build<strong>in</strong>g for transitional-age youth leav<strong>in</strong>g foster care or state custody; they<br />

have shorter tenancy, reunite with family, take computer classes and move out and live<br />

on their own,” Lipka said.<br />

Should the public pay for mentally ill homeless people to live near the beach<br />

when most people can’t afford to?<br />

Lipka said that Santa Monica, which subsidizes Step Up, recognized that its homeless<br />

people are residents and that a vibrant city needs diversity.<br />

Hous<strong>in</strong>g and support services cost less than we are spend<strong>in</strong>g now on police, courts,<br />

jails and hospitals to manage homelessness, Lipka said. “Not to mention the nuisance<br />

cost <strong>of</strong> homelessness to a community,” he said.<br />

________<br />

Mental Illness and <strong>Homelessness</strong><br />

Tanya J. Peterson<br />

Mental illness and homelessness can be <strong>in</strong>terrelated. In "<strong>The</strong> Homeless Mentally Ill," an<br />

article appear<strong>in</strong>g <strong>in</strong> the Harvard Mental Health Letter (2005), the author asserts that<br />

nearly a third <strong>of</strong> all homeless people <strong>in</strong> the U.S. have a serious mental illness like<br />

schizophrenia, bipolar disorder, or major depression. This means that <strong>of</strong> the estimated<br />

600,000 homeless people <strong>in</strong> the U.S. <strong>in</strong> 2005, approximately 200,000 were seriously<br />

mentally ill. <strong>The</strong> mentally ill homeless numbered nearly a quarter million people.<br />

<strong>Homelessness</strong> and Mental Illness: Does One Cause the Other?<br />

<strong>The</strong> association between mental illness and homelessness isn't quite a cause-andeffect<br />

relationship. <strong>The</strong>re are so many factors at work <strong>in</strong> both mental illness and<br />

homelessness, not to mention the two <strong>of</strong> them together, to say that one unequivocally<br />

causes the other.<br />

Page 84 <strong>of</strong> 289


<strong>The</strong>re most def<strong>in</strong>itely is a relationship between mental illness and homelessness,<br />

though, and each one does contribute to the other <strong>in</strong> a circular fashion. Without help,<br />

the mutual contribution can sp<strong>in</strong> out <strong>of</strong> control.<br />

Mental illness can contribute to homelessness when symptoms become so severe that<br />

the person can't function. For example, he or she might be so disorganized as to be<br />

unable to ma<strong>in</strong>ta<strong>in</strong> a job (and thus pay rent or make house payments). Also, specific<br />

symptoms <strong>of</strong> mental health disorders, such as the manic state <strong>of</strong> bipolar disorder or the<br />

psychotic symptoms and paranoia <strong>of</strong> schizophrenia (paranoia, though, isn't always<br />

present <strong>in</strong> schizophrenia) can not only make it hard to work or care for oneself but can<br />

also severely isolate the person when others don't know what to do.<br />

Mental Illness and <strong>Homelessness</strong>: A L<strong>in</strong>k<br />

<strong>Homelessness</strong> can contribute to<br />

mental illness because <strong>of</strong> the<br />

severe distress caused by liv<strong>in</strong>g<br />

on the streets. <strong>Homelessness</strong> is<br />

traumatic, and as such can lead to<br />

PTSD. Depression, too, <strong>of</strong>ten<br />

develops when people live on the<br />

streets, as can other mental<br />

illnesses. If someone is vulnerable<br />

to mental illness, either from<br />

environmental or genetic factors,<br />

homelessness is very likely to lead<br />

to mental illness (What Causes<br />

Mental Illness? Genetics,<br />

Environment, Risk Factors).<br />

<strong>The</strong> <strong>in</strong>terconnection between homelessness and mental illness is multifaceted. Many<br />

different factors contribute to both <strong>of</strong> them, and they reflect the circular cause-and-effect<br />

relationship between the two.<br />

<br />

<br />

<br />

<br />

Biological risk factors <strong>in</strong>crease the likelihood <strong>of</strong> both mental illness and<br />

subsequent homelessness.<br />

Stressors and triggers such as significant loss, experienc<strong>in</strong>g trauma, abuse, and<br />

others greatly reduce someone's ability to function and <strong>in</strong>crease the risk <strong>of</strong><br />

homelessness.<br />

effects <strong>of</strong> child abuse (physical, emotional, sexual as well as neglect) that carry<br />

<strong>in</strong>to adulthood substance use<br />

psychiatric hospitalizations<br />

Page 85 <strong>of</strong> 289


clashes with the law and time <strong>in</strong> jail (Mental Illness And <strong>Homelessness</strong>: Hose 'em<br />

Down)<br />

little or no access to support systems (mental health care, social support, family<br />

support, etc.)<br />

isolation due to prejudices, misunderstand<strong>in</strong>gs, and mistreatment (Mental Illness<br />

Myths And <strong>The</strong> Damage <strong>The</strong>y Cause)<br />

government policies and <strong>in</strong>surance policies that make access<strong>in</strong>g mental health<br />

care difficult for many and impossible for some; without help and treatment,<br />

mental illness symptoms worsen and the risk <strong>of</strong> homelessness further <strong>in</strong>creases.<br />

While each <strong>of</strong> these contribut<strong>in</strong>g factors can lead to or exacerbate exist<strong>in</strong>g mental<br />

illness as well as result <strong>in</strong> homelessness, it's unlikely that any s<strong>in</strong>gle item will create<br />

mental illness and/or homelessness. Instead, it's the <strong>in</strong>terplay <strong>of</strong> all, or at least several,<br />

<strong>of</strong> them that plays a part <strong>in</strong> the development <strong>of</strong> both mental illness and homelessness.<br />

Support for Mentally Ill Homeless<br />

Despite the fact that it can be difficult to access, there is help available because<br />

homelessness and mental illness shouldn't have to coexist.<br />

<br />

<br />

<br />

<br />

outreach: <strong>in</strong> many cities, organizations have people who hit the streets and meet<br />

the homeless where they are, and they provide <strong>in</strong>formation to help connect the<br />

mentally ill homeless to resources<br />

social security provided by the government (this requires an address, and some<br />

shelters allow people to pick up their mail there, the post <strong>of</strong>fice may allow<br />

homeless <strong>in</strong>dividuals to pick up mail there, or the homeless person may use the<br />

address <strong>of</strong> someone they know)<br />

shelters<br />

temporary hous<strong>in</strong>g; the Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development has a<br />

list <strong>of</strong> onl<strong>in</strong>e resources by state to help people locate temporary hous<strong>in</strong>g<br />

agencies.<br />

<strong>The</strong> key to end<strong>in</strong>g the cycle <strong>of</strong> mental illness and homelessness is treatment for mental<br />

illness (How to F<strong>in</strong>d Mental Health Services <strong>in</strong> Your Area). Without treatment and<br />

support, people with mental illness won't be able to rema<strong>in</strong> <strong>in</strong> hous<strong>in</strong>g once they receive<br />

it. Not just that, but like all human be<strong>in</strong>gs, the homeless mentally ill deserve to have<br />

their basic needs met, and beyond that, create wellbe<strong>in</strong>g.<br />

________<br />

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Mental Illness and <strong>Homelessness</strong>: Facts and Figures<br />

By M<strong>in</strong>gu Kim '18 | Staff Writer<br />

Posted on July 31, 2017<br />

<strong>Homelessness</strong> is a serious problem <strong>in</strong> the United States – an extensive study by the<br />

U.S. Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development showed that over 500,000 people<br />

are homeless on any given night. This number has been steadily <strong>in</strong>creas<strong>in</strong>g s<strong>in</strong>ce the<br />

1970s, with homelessness becom<strong>in</strong>g prevalent not only <strong>in</strong> major cities but also <strong>in</strong><br />

smaller towns. Mental illness affects a significant proportion <strong>of</strong> the homeless population.<br />

A study by the National Institute <strong>of</strong> Mental Health found that approximately 6% <strong>of</strong><br />

Americans are severely mentally ill, compared to the 20-25% <strong>of</strong> the homeless<br />

population that suffers from severe mental illness. Furthermore, 45% <strong>of</strong> the homeless<br />

population shows history <strong>of</strong> mental illness diagnoses.<br />

Mental illness is also <strong>of</strong>ten cited as a major cause <strong>of</strong> homelessness, illustrat<strong>in</strong>g a<br />

causative relationship that extends beyond mere correlation. Unsurpris<strong>in</strong>gly, mental<br />

illnesses can stra<strong>in</strong> relationships with others, disrupt capabilities <strong>of</strong> self-care, and<br />

<strong>in</strong>terrupt the rout<strong>in</strong>e <strong>of</strong> a daily job, which are all factors that can lead to homelessness.<br />

Also, people who are homeless and suffer from mental illness are more prone to<br />

problems <strong>in</strong> physical health due to neglect <strong>of</strong> self-care, lead<strong>in</strong>g to prevalence <strong>of</strong><br />

respiratory <strong>in</strong>fections, HIV, and substance abuse. Studies show that psychotic homeless<br />

Page 87 <strong>of</strong> 289


<strong>in</strong>dividuals have a higher chance <strong>of</strong> be<strong>in</strong>g physically assaulted. A study <strong>in</strong> Baltimore<br />

showed that nearly one-third <strong>of</strong> homeless women had been raped.<br />

Unfortunately, because <strong>of</strong> the <strong>in</strong>crease <strong>in</strong> factors such as substance abuse, mentally ill,<br />

homeless <strong>in</strong>dividuals are more likely to be <strong>in</strong>carcerated. In fact, every s<strong>in</strong>gle state <strong>in</strong> the<br />

United States arrests more mentally ill people than it hospitalizes. In one report, it was<br />

found that 17.3% <strong>of</strong> prison <strong>in</strong>mates with severe mental illness were homeless prior to<br />

be<strong>in</strong>g arrested and 40% were homeless at one po<strong>in</strong>t <strong>in</strong> their lives, compared to 6% <strong>of</strong><br />

undiagnosed <strong>in</strong>mates. <strong>Homelessness</strong> and <strong>in</strong>carceration <strong>in</strong>creases the risk <strong>of</strong> each other<br />

through a positive feedback loop, caus<strong>in</strong>g a cycle <strong>of</strong> hardship and uncerta<strong>in</strong>ty. This<br />

cycle that these <strong>in</strong>dividuals face between liv<strong>in</strong>g on the streets and <strong>in</strong> prison causes<br />

emotional, f<strong>in</strong>ancial, and physical stress for their families and the community at large.<br />

<strong>The</strong>refore, mental health programs should provide plans for both treatment and<br />

hous<strong>in</strong>g. It has been shown that both treatment without hous<strong>in</strong>g and hous<strong>in</strong>g without<br />

treatment are <strong>in</strong>effective for homeless <strong>in</strong>dividuals with mental illness. Services that aim<br />

to achieve serious improvement need to address both treatment and hous<strong>in</strong>g.<br />

Supported hous<strong>in</strong>g programs <strong>in</strong> the past have <strong>of</strong>fered services <strong>in</strong>clud<strong>in</strong>g treatment,<br />

education, peer support, personal f<strong>in</strong>ance, and liv<strong>in</strong>g support. <strong>The</strong>se programs have<br />

been shown to be some <strong>of</strong> the most effective, although the lack <strong>of</strong> f<strong>in</strong>ancial support has<br />

been crippl<strong>in</strong>g for efforts to help the mentally ill, homeless population. State and city<br />

budgets have been drastically cut over the years, leav<strong>in</strong>g the future <strong>of</strong> the homeless on<br />

the street up <strong>in</strong> the air.<br />

Page 88 <strong>of</strong> 289


V. Affordable Hous<strong>in</strong>g<br />

Affordable Hous<strong>in</strong>g Crisis Forces U.S. Homeless Numbers<br />

Up for First Time S<strong>in</strong>ce Great Recession<br />

By Damien Sharkov on 12/6/17 at 4:36 AM<br />

<strong>Homelessness</strong> <strong>in</strong> the United States has risen for the first time s<strong>in</strong>ce the tail end <strong>of</strong><br />

the Great Recession as 553,742 people slept rough or <strong>in</strong> a shelter <strong>in</strong> a s<strong>in</strong>gle night<br />

earlier this year, with the West Coast fac<strong>in</strong>g a particularly acute problem.<br />

<strong>The</strong> one-night count <strong>in</strong> January represented the first time s<strong>in</strong>ce 2010 that<br />

homelessness <strong>in</strong> the U.S. ticked up, by 0.7 percent overall but by much more <strong>in</strong><br />

<strong>in</strong>dividual cities, NPR reported. <strong>The</strong> statistic came from a government document<br />

released by the Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development (HUD) on<br />

Wednesday.<br />

<strong>The</strong> <strong>in</strong>crease came as a surprise as homelessness levels had been fall<strong>in</strong>g, hav<strong>in</strong>g<br />

dropped by 13 percent s<strong>in</strong>ce 2010. Many communities are mak<strong>in</strong>g progress on<br />

elim<strong>in</strong>at<strong>in</strong>g problems such as homeless veterans, who usually push the figures<br />

up, Ben Carson, HUD secretary, said.<br />

Page 89 <strong>of</strong> 289


<strong>The</strong> peak <strong>in</strong> the spontaneous one-night count stems now, however, from a new<br />

problem fac<strong>in</strong>g big cities—a lack <strong>of</strong> affordable hous<strong>in</strong>g.<br />

“Where we’re not mak<strong>in</strong>g great progress are <strong>in</strong> places like Los Angeles and New<br />

York City,” Carson told NPR. “<strong>The</strong>se happen to be places where the rents are<br />

go<strong>in</strong>g up much faster than the <strong>in</strong>comes.”<br />

<strong>Homelessness</strong> statistics for Los Angeles this year depict an <strong>in</strong>crease <strong>of</strong> nearly 26<br />

percent compared to last year alone. When it comes to homelessness among<br />

veterans, the national statistics would show an encourag<strong>in</strong>g drop <strong>of</strong> 3.2 percent,<br />

were it not for Los Angeles, whose own numbers push the national average for<br />

homeless veterans to an <strong>in</strong>crease <strong>of</strong> 1.5 percent.<br />

Major cities contributed to the overall rise, with New York’s homelessness<br />

<strong>in</strong>creas<strong>in</strong>g by more than 4 percent. It is <strong>in</strong> these cities where wages have<br />

frequently failed to keep up with hous<strong>in</strong>g costs. Accord<strong>in</strong>g to <strong>The</strong> Guardian,<br />

poverty rates have returned to pre-recession levels, while median wages rema<strong>in</strong><br />

at around $17 an hour and rents have <strong>in</strong>creased.<br />

As a whole, chronic or long-term homelessness is a grow<strong>in</strong>g problem, as 12<br />

percent more people experienced it this year compared with 2016. <strong>The</strong> one<br />

positive f<strong>in</strong>d<strong>in</strong>g was that family homelessness was down by 5.4 percent.<br />

Recent figures show there were 58,000 families with children liv<strong>in</strong>g without a ro<strong>of</strong><br />

over their heads or <strong>in</strong> shelters earlier this year. <strong>The</strong> number <strong>of</strong> unaccompanied<br />

homeless youth and children neared 41,000.<br />

________<br />

Affordable Hous<strong>in</strong>g<br />

U.S. Interagency Council on <strong>Homelessness</strong><br />

Last updated on June 22, 2018<br />

For many people, the gap between their current <strong>in</strong>come and the cost <strong>of</strong> hous<strong>in</strong>g <strong>in</strong> their<br />

community puts them at immediate risk <strong>of</strong> a hous<strong>in</strong>g crisis. Hous<strong>in</strong>g needs to be<br />

affordable to those households with the lowest <strong>in</strong>comes who are most at risk <strong>of</strong><br />

homelessness, and efforts to <strong>in</strong>crease access to affordable hous<strong>in</strong>g must be<br />

proportional to the local need.<br />

<strong>The</strong> Solution<br />

<strong>The</strong> Council is work<strong>in</strong>g on the follow<strong>in</strong>g strategies to <strong>in</strong>crease the supply <strong>of</strong> affordable<br />

hous<strong>in</strong>g for those who most need it:<br />

<br />

<br />

Support additional rental hous<strong>in</strong>g subsidies through federal, state, local,<br />

and private resources to <strong>in</strong>dividuals and families experienc<strong>in</strong>g or most at risk <strong>of</strong><br />

homelessness.<br />

Expand the supply <strong>of</strong> affordable rental homes where they are most needed,<br />

through federal, state, and local efforts. Rental subsidies should better target<br />

households earn<strong>in</strong>g significantly less than 30% <strong>of</strong> the Area Median Income.<br />

Page 90 <strong>of</strong> 289


Improve access to federally funded hous<strong>in</strong>g assistance by elim<strong>in</strong>at<strong>in</strong>g<br />

adm<strong>in</strong>istrative barriers and encourag<strong>in</strong>g prioritization <strong>of</strong> people experienc<strong>in</strong>g or<br />

most at risk <strong>of</strong> homelessness. Implement hous<strong>in</strong>g anti-discrim<strong>in</strong>ation and eviction<br />

protection provisions under the Violence Aga<strong>in</strong>st Women Act.<br />

Encourage collaboration between public hous<strong>in</strong>g agencies, multifamily<br />

hous<strong>in</strong>g owners, and homeless services to <strong>in</strong>crease ma<strong>in</strong>stream hous<strong>in</strong>g<br />

opportunities for people experienc<strong>in</strong>g homelessness. Promote guidance on<br />

how public hous<strong>in</strong>g agencies and multifamily hous<strong>in</strong>g owners can adopt<br />

admissions preferences and coord<strong>in</strong>ate with homeless services organizations to<br />

make referrals, assist with applications and lease-up, and provide supportive<br />

services.<br />

Increase service-enriched hous<strong>in</strong>g by co-locat<strong>in</strong>g or connect<strong>in</strong>g services<br />

with affordable hous<strong>in</strong>g. This could be accomplished <strong>in</strong> a wide range <strong>of</strong> ways,<br />

and will vary by community, neighborhood, and development. Examples <strong>in</strong>clude<br />

provid<strong>in</strong>g community space with<strong>in</strong> new affordable hous<strong>in</strong>g to host an after-school<br />

homework room, retr<strong>of</strong>itt<strong>in</strong>g vacant <strong>of</strong>fice space <strong>in</strong> a public hous<strong>in</strong>g complex for<br />

use as an exam<strong>in</strong>ation room for a community health nurse practitioner, provid<strong>in</strong>g<br />

on-site legal cl<strong>in</strong>ics for survivors <strong>of</strong> domestic violence, or co-locat<strong>in</strong>g a community<br />

health center or mental health service provider with<strong>in</strong> an affordable hous<strong>in</strong>g<br />

development.<br />

________<br />

A Map <strong>of</strong> America’s Homeless Problem Reveals <strong>The</strong> Best<br />

And Worst States For Affordable Hous<strong>in</strong>g<br />

Leanna Garfield<br />

Mar. 22, 2018, 11:46 AM<br />

<br />

<br />

<br />

<br />

<br />

An analysis maps the number <strong>of</strong> homeless people per 100,000 residents <strong>in</strong><br />

every <strong>US</strong> state plus Wash<strong>in</strong>gton, DC.<br />

Accord<strong>in</strong>g to the researchers, the number <strong>of</strong> unsheltered homeless people<br />

is on the rise nationwide.<br />

<strong>The</strong> data suggests that states with higher hous<strong>in</strong>g prices have higher rates<br />

<strong>of</strong> homeless people. DC — a city <strong>in</strong> the middle <strong>of</strong> an affordable hous<strong>in</strong>g<br />

crisis — has the highest number <strong>of</strong> homeless people per capita <strong>in</strong> the <strong>US</strong>.<br />

It's a similar story for Hawaii, California, and New York.<br />

Iowa and Nebraska have the fewest number <strong>of</strong> homeless Americans per<br />

capita, and hous<strong>in</strong>g prices are relatively low.<br />

________<br />

Page 91 <strong>of</strong> 289


For decades, the <strong>US</strong> has suffered a homelessness problem with monumental economic<br />

and human costs. At the same time, the country has also been caught <strong>in</strong> an affordable<br />

hous<strong>in</strong>g crisis.<br />

A new analysis suggests a correlation between the two epidemics exists. Look<strong>in</strong>g at<br />

2017 data from the Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development, the San<br />

Francisco-based data agency DataFace mapped the number <strong>of</strong> homeless people per<br />

10,000 residents <strong>in</strong> every state plus Wash<strong>in</strong>gton, DC.<br />

As you can see below, the nation's capital has the highest number <strong>of</strong> homeless per<br />

capita at about 110.<br />

A map that estimates America's homeless problem. DataFace<br />

<strong>The</strong> researchers note that there may be a connection between high hous<strong>in</strong>g prices and<br />

high rates <strong>of</strong> homelessness. As <strong>of</strong> 2017, eight <strong>of</strong> the ten states with the highest rates <strong>of</strong><br />

homelessness (which <strong>in</strong>cludes Wash<strong>in</strong>gton, DC) are among the ten most expensive<br />

places to live. Affordable hous<strong>in</strong>g <strong>in</strong> many DC neighborhoods, for example, has been<br />

scarce <strong>in</strong> recent years. Zillow estimates that the median home value <strong>in</strong> Wash<strong>in</strong>gton is<br />

$553,600, and the median rent price is $2,500 per month as <strong>of</strong> February 2018.<br />

It's a similar story <strong>in</strong> Hawaii, where there are approximately 51 homeless people per<br />

10,000 residents, and home values have <strong>in</strong>creased about 6.6% over the past year. <strong>The</strong><br />

median home value <strong>in</strong> Hawaii is around $628,600, and the monthly median rent price is<br />

$2,300.<br />

Meanwhile, Iowa and Nebraska have the fewest number <strong>of</strong> homeless Americans per<br />

capita, accord<strong>in</strong>g to the analysis. <strong>The</strong>se states also have relatively low hous<strong>in</strong>g prices:<br />

about $132,600 and $157,800 respectively.<br />

<strong>The</strong>re is one major caveat to this study. Even when rely<strong>in</strong>g on government data, it can<br />

be hard to f<strong>in</strong>d the true number <strong>of</strong> people liv<strong>in</strong>g on the streets, especially if they move<br />

locations or reside <strong>in</strong> hidden places. In addition, HUD makes the tallies <strong>in</strong> January,<br />

when many homeless take refuge with family or friends dur<strong>in</strong>g the cold weather. <strong>The</strong>se<br />

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numbers are then comb<strong>in</strong>ed with a count <strong>of</strong> occupied shelter beds to gauge the success<br />

<strong>of</strong> the previous year's service efforts.<br />

In 2017, the total number <strong>of</strong> homeless Americans <strong>in</strong>creased by 0.7% year-over-year.<br />

<strong>The</strong> number <strong>of</strong> unsheltered homeless grew even more with a jump <strong>of</strong> 9% from 2016.<br />

<strong>The</strong> affordable hous<strong>in</strong>g crisis is likely to endure as well. <strong>The</strong> White House's Fiscal Year<br />

2019 budget proposal, released <strong>in</strong> February, calls for work requirements for those who<br />

receive public hous<strong>in</strong>g subsidies. It would also cut fund<strong>in</strong>g for HUD by $8.8 billion.<br />

________<br />

Hous<strong>in</strong>g and <strong>Homelessness</strong><br />

as a Public Health Issue<br />

American Public Health Association<br />

Nov 07 2017 | Policy Number: 20178<br />

Abstract<br />

<strong>The</strong> United Nations declared hous<strong>in</strong>g to be a fundamental human right <strong>in</strong> 1991, and the<br />

United States reduced overall homelessness by 20% between 2005 and 2013.<br />

However, homelessness cont<strong>in</strong>ues to be a recalcitrant public health problem <strong>in</strong> the<br />

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United States, as those experienc<strong>in</strong>g homelessness have high rates <strong>of</strong> chronic mental<br />

and physical health conditions, co-occurr<strong>in</strong>g disorders, and barriers to health care and<br />

affordable hous<strong>in</strong>g. Homeless <strong>in</strong>dividuals also overuse emergency services, lead<strong>in</strong>g to<br />

higher treatment costs. Numerous evidence-based strategies are be<strong>in</strong>g employed to<br />

end homelessness by <strong>in</strong>creas<strong>in</strong>g access to hous<strong>in</strong>g options and supportive services for<br />

hous<strong>in</strong>g stability; examples <strong>in</strong>clude the Hous<strong>in</strong>g First model, hous<strong>in</strong>g subsidies for<br />

extremely low-<strong>in</strong>come families, permanent supportive hous<strong>in</strong>g services for those with<br />

complex health needs, and pathways to f<strong>in</strong>ancial stability through access to disability<br />

<strong>in</strong>come and employment support. Interventions <strong>in</strong> hous<strong>in</strong>g, health, and <strong>in</strong>come<br />

stabilization should be holistically <strong>in</strong>tegrated, allow<strong>in</strong>g <strong>in</strong>dividuals experienc<strong>in</strong>g<br />

homelessness to f<strong>in</strong>d their unique path to recovery. To achieve an end to<br />

homelessness, APHA sets forth recommendations for federal, state, and local<br />

policymakers and agencies to work collaboratively <strong>in</strong> fund<strong>in</strong>g evidence-based hous<strong>in</strong>g<br />

acquisition practices and supportive hous<strong>in</strong>g stability services, as well as support<strong>in</strong>g<br />

future <strong>in</strong>novations <strong>in</strong> <strong>in</strong>tegrated services for <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness.<br />

Relationship to Exist<strong>in</strong>g APHA Policy Statements<br />

<br />

<br />

<br />

<br />

<br />

APHA Policy Statement 9718(PP): Support<strong>in</strong>g a National Priority to Elim<strong>in</strong>ate<br />

<strong>Homelessness</strong><br />

APHA Policy Statement 9611: L<strong>in</strong>kage <strong>of</strong> Medical Services for Low-Income<br />

Populations with Mental Health, Substance Abuse, and Other Addictions<br />

APHA Policy Statement 9210: <strong>Homelessness</strong> as a Public Health Problem<br />

APHA Policy Statement 9003: Health Care for Homeless Pregnant Teenagers<br />

APHA Policy Statement 8413: Basic Needs <strong>of</strong> the Homeless and Homeless<br />

Mentally Ill <strong>in</strong> the <strong>US</strong><br />

Problem Statement<br />

<strong>The</strong> United Nations declared “the right to adequate hous<strong>in</strong>g” to be a fundamental<br />

human right <strong>in</strong> 1991. Across the European Union, more than 400,000 <strong>in</strong>dividuals are<br />

homeless on any given night, with an estimated 4.1 million people experienc<strong>in</strong>g a<br />

homeless episode each year (although vary<strong>in</strong>g def<strong>in</strong>itions and methodologies make it<br />

challeng<strong>in</strong>g to determ<strong>in</strong>e precise numbers). <strong>The</strong> United States has made significant<br />

progress <strong>in</strong> end<strong>in</strong>g homelessness s<strong>in</strong>ce its Open<strong>in</strong>g Doors plan was implemented <strong>in</strong><br />

2010, but it rema<strong>in</strong>s a recalcitrant public health problem.<br />

<strong>The</strong> 2016 U.S. Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development (HUD) Annual<br />

Homeless Assessment Report to Congress estimated that 549,928 people experienced<br />

homelessness on a s<strong>in</strong>gle night <strong>in</strong> 2016, with 32% <strong>of</strong> <strong>in</strong>dividuals stay<strong>in</strong>g <strong>in</strong> unsheltered<br />

locations. Demographically, more than 39% <strong>of</strong> <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness<br />

self-identified as Black or African American, a significant overrepresentation relative to<br />

the percentage <strong>in</strong> the U.S. population as a whole (13.3% <strong>in</strong> 2016). One <strong>in</strong> five people<br />

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experienc<strong>in</strong>g homelessness were Hispanic or Lat<strong>in</strong>o, 3% were Native American, 2%<br />

were <strong>of</strong> Pacific Islander descent, and 1% were <strong>of</strong> Asian descent. Men represented 60%<br />

<strong>of</strong> those counted; 40% were women, and less than 1% were transgender.<br />

Geographically, New York, Florida, and California had the highest numbers <strong>of</strong> people<br />

experienc<strong>in</strong>g homelessness, although significant <strong>in</strong>creases <strong>in</strong> the number <strong>of</strong> homeless<br />

people were seen <strong>in</strong> rural states such as Idaho, Wyom<strong>in</strong>g, and Oklahoma. <strong>The</strong> count<br />

<strong>in</strong>cluded 39,471 veterans, with 8% <strong>of</strong> that total accounted for by female veterans. Of all<br />

homeless <strong>in</strong>dividuals, almost 121,000 were children (22% <strong>of</strong> the total), 35,686 (7%)<br />

were unaccompanied young people 18 to 24 years <strong>of</strong> age, and more than a third were<br />

experienc<strong>in</strong>g homelessness as part <strong>of</strong> a family. It is important to note that these figures<br />

capture a s<strong>in</strong>gle po<strong>in</strong>t <strong>in</strong> time, and millions more adults and children experience<br />

episodes <strong>of</strong> homelessness dur<strong>in</strong>g a given year or are at risk <strong>of</strong> experienc<strong>in</strong>g<br />

homelessness as a result <strong>of</strong> f<strong>in</strong>ancial and hous<strong>in</strong>g <strong>in</strong>stability.<br />

It is difficult to obta<strong>in</strong> accurate data on the prevalence <strong>of</strong> youth homelessness <strong>in</strong> the<br />

United States; accord<strong>in</strong>g to estimates, however. between 500,000 and 2.1 million young<br />

people 13 to 21 years old are homeless. Homeless youths are typically def<strong>in</strong>ed as<br />

unaccompanied <strong>in</strong>dividuals 12 years or older (up to age 17, 21, or 25) who live <strong>in</strong><br />

shelters, on the street, or <strong>in</strong> other unstable liv<strong>in</strong>g conditions without family support.<br />

Overall, homeless youths are more likely than their housed counterparts to experience<br />

negative health outcomes, <strong>in</strong>clud<strong>in</strong>g chronic health conditions or problems such as HIV,<br />

substance abuse, violence, and mental health issues. Such risks are a consequence <strong>of</strong><br />

street-entrenched lifestyles as well as early childhood traumas <strong>in</strong>clud<strong>in</strong>g family<br />

breakdowns, discrim<strong>in</strong>ation, and poverty. In addition, historically marg<strong>in</strong>alized groups<br />

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are disproportionally represented <strong>in</strong> homeless youth populations. Lesbian, gay,<br />

bisexual, transgender, queer, and question<strong>in</strong>g (LGBTQ) youths represent between 30%<br />

and 45% <strong>of</strong> the overall homeless youth population, as compared with an estimated 5%<br />

to 10% <strong>of</strong> the overall youth population. LGBTQ homeless youths are significantly more<br />

likely than their heterosexual homeless youth counterparts to have major depressive<br />

episodes, posttraumatic stress disorder, suicidal ideation, and at least one suicide<br />

attempt. In addition, they have <strong>in</strong>creased rates <strong>of</strong> sexual and violent victimization.<br />

Homeless youths are also three times more likely to be pregnant, to have impregnated<br />

someone, or to already be a parent.<br />

Many homeless youths seek health services only when peer advice and self-care are no<br />

longer effective, and m<strong>in</strong>or, treatable <strong>in</strong>juries <strong>of</strong>ten escalate <strong>in</strong>to more severe health<br />

problems. This problem is compounded by limited access to health care among<br />

homeless youths, who frequently use drop-<strong>in</strong> centers that provide free, <strong>in</strong>stant health<br />

care and emergency rooms that <strong>of</strong>ten fail to <strong>of</strong>fer the necessary level <strong>of</strong> care and are<br />

much more expensive than the services <strong>of</strong> a primary care physician. Access to<br />

preventative health care directly affects young people’s ability to safely and successfully<br />

exit the streets.<br />

Similarly, hous<strong>in</strong>g <strong>in</strong>stability and homelessness among children and families is a<br />

significant issue, with an estimated 2.5 million children (one <strong>in</strong> every 30) experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> a given year. Child and family homelessness is likely undercounted <strong>in</strong><br />

national surveys, as many families “double up” with friends or relatives and may<br />

withhold <strong>in</strong>formation about their hous<strong>in</strong>g <strong>in</strong>stability to avoid stigma. Furthermore, an<br />

estimated 51% <strong>of</strong> homeless children are younger than 6 years and may not be<br />

accurately counted, as they do not attend school. Risk factors for family homelessness<br />

<strong>in</strong>clude <strong>in</strong>adequate social support, domestic violence, a history <strong>of</strong> children be<strong>in</strong>g placed<br />

<strong>in</strong> foster care, parental drug or alcohol use, parental mental illness, and racial/ethnic<br />

m<strong>in</strong>ority family background. As a corollary, children who experience family<br />

homelessness are at risk <strong>of</strong> higher stress levels, health problems, and need for pediatric<br />

health care dur<strong>in</strong>g and after such adverse episodes. Homeless children display mental<br />

health symptoms requir<strong>in</strong>g cl<strong>in</strong>ical evaluations at a rate <strong>of</strong> two to four times that <strong>of</strong> their<br />

low-<strong>in</strong>come housed peers, and they <strong>of</strong>ten exhibit developmental or cognitive delays.<br />

Research <strong>in</strong>dicates that 90% <strong>of</strong> mothers experienc<strong>in</strong>g homelessness have been<br />

exposed to at least one form <strong>of</strong> severe traumatic stress, and between 20% and 50% <strong>of</strong><br />

women cite <strong>in</strong>timate partner violence as the cause <strong>of</strong> their homelessness.<br />

End<strong>in</strong>g homelessness is a public health issue, as those experienc<strong>in</strong>g homelessness<br />

have high rates <strong>of</strong> chronic mental and physical health conditions, co-occurr<strong>in</strong>g<br />

disorders, and barriers to care, such as <strong>in</strong>ability to access care when needed or comply<br />

with prescribed medications. <strong>The</strong> correlation between disabilities and homelessness is<br />

high, with almost 20% <strong>of</strong> <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness <strong>in</strong> 2016 report<strong>in</strong>g a<br />

severe mental illness and 17% report<strong>in</strong>g a chronic substance use problem. Research on<br />

personal and structural barriers <strong>in</strong> access<strong>in</strong>g treatment for co-occurr<strong>in</strong>g substance use<br />

and mental health disorders <strong>in</strong>dicates that <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness or<br />

those with crim<strong>in</strong>al justice <strong>in</strong>volvement <strong>of</strong>ten have fewer treatment resources, lack<br />

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transportation, and have more limited access to services, particularly those <strong>in</strong> rural<br />

areas. <strong>The</strong>se barriers to treatment may lead to <strong>in</strong>creases <strong>in</strong> chronic conditions and may<br />

h<strong>in</strong>der hous<strong>in</strong>g and <strong>in</strong>come stability.<br />

Research also <strong>in</strong>dicates that <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness have a risk <strong>of</strong><br />

mortality that is 1.5 to 11.5 times greater than the risk <strong>in</strong> the general population.<br />

Research across the European Union and Canada supports f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> higher mortality<br />

rates and chronic disease loads among <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness than<br />

among those who are housed. Liv<strong>in</strong>g <strong>in</strong> an unsheltered or temporary location can<br />

exacerbate conditions such as diabetes and<br />

hepatitis C, which a study <strong>in</strong> Boston showed to be<br />

two times and 12 times, respectively, more<br />

prevalent <strong>in</strong> a cohort experienc<strong>in</strong>g homelessness<br />

than <strong>in</strong> the general population. Manag<strong>in</strong>g diabetes<br />

requires access to clean needles and test<strong>in</strong>g<br />

supplies and refrigeration <strong>of</strong> <strong>in</strong>sul<strong>in</strong>, and treat<strong>in</strong>g<br />

hepatitis C depends on detailed medication<br />

management, which can be difficult or impossible<br />

for <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness. Along<br />

with treatment <strong>of</strong> chronic health conditions, stable<br />

hous<strong>in</strong>g is <strong>in</strong>tegral <strong>in</strong> prevent<strong>in</strong>g communicable<br />

diseases such as tuberculosis and HIV. In<br />

addition, food <strong>in</strong>security (def<strong>in</strong>ed as be<strong>in</strong>g without<br />

access to food or not hav<strong>in</strong>g the ability to acquire<br />

food), as faced by many who are homeless, can further worsen mental health<br />

outcomes.<br />

Furthermore, <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness overuse emergency services,<br />

lead<strong>in</strong>g to higher costs for treatment. Studies report that a quarter to one third <strong>of</strong><br />

homeless <strong>in</strong>dividuals are hospitalized dur<strong>in</strong>g a given year and that these <strong>in</strong>dividuals<br />

have significantly higher rates <strong>of</strong> emergency department (ED) use than the general<br />

population. A national study <strong>of</strong> ED use showed that homeless <strong>in</strong>dividuals were three<br />

times more likely than members <strong>of</strong> the non-homeless population to return to the same<br />

ED with<strong>in</strong> 3 days <strong>of</strong> an evaluation <strong>in</strong> that department and twice as likely to use an ED<br />

with<strong>in</strong> 1 week <strong>of</strong> a hospitalization. <strong>The</strong> study also revealed that homeless <strong>in</strong>dividuals<br />

were more likely to be transported to the hospital via an ambulance, further <strong>in</strong>creas<strong>in</strong>g<br />

treatment costs.<br />

Research on factors predict<strong>in</strong>g ED use among <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness<br />

shows that unstable hous<strong>in</strong>g status and disease burden are more predictive <strong>of</strong> overuse<br />

than <strong>in</strong>sured status. A study <strong>in</strong> Toronto reported that homeless <strong>in</strong>sured adults visited an<br />

ED eight times more frequently than their low-<strong>in</strong>come housed counterparts, while a<br />

study <strong>in</strong> Boston concluded that unstable hous<strong>in</strong>g, mental illness, and substance use<br />

disorders were significantly associated with frequent ED use among homeless <strong>in</strong>sured<br />

patients. <strong>The</strong>se costs add up, and research estimates that ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g a person liv<strong>in</strong>g<br />

on the street or <strong>in</strong> a shelter can cost between $35,000 and $150,000 annually,<br />

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account<strong>in</strong>g for added expenses due to ED use and contact with law enforcement. As a<br />

result, <strong>in</strong>creas<strong>in</strong>g hous<strong>in</strong>g stability and end<strong>in</strong>g homelessness are critical factors <strong>in</strong><br />

reduc<strong>in</strong>g health system costs.<br />

However, the lack <strong>of</strong> affordable hous<strong>in</strong>g and high rent costs are barriers to achiev<strong>in</strong>g<br />

hous<strong>in</strong>g stability. HUD def<strong>in</strong>es households with <strong>in</strong>comes 30% or more below their area<br />

median as “extremely low <strong>in</strong>come,” and <strong>in</strong> 2016 the National Low Income Hous<strong>in</strong>g<br />

Coalition found that only 3.2 million affordable hous<strong>in</strong>g units were available for the 10.4<br />

million extremely low-<strong>in</strong>come households <strong>in</strong> the United States. Without access to<br />

affordable hous<strong>in</strong>g, 75% <strong>of</strong> extremely low-<strong>in</strong>come households are severely cost<br />

burdened, pay<strong>in</strong>g 50% or more <strong>of</strong> their <strong>in</strong>come toward hous<strong>in</strong>g costs. <strong>The</strong>se hous<strong>in</strong>g<br />

shortages have a particular impact on <strong>in</strong>dividuals with disabl<strong>in</strong>g conditions. A 2014<br />

study showed that the national average rent for a modest one-bedroom unit exceeded<br />

100% <strong>of</strong> monthly Social Security Supplemental Security Income (SSI) payments, and<br />

the national average rent for a studio/efficiency was equivalent to 90% <strong>of</strong> monthly SSI<br />

payments. Hous<strong>in</strong>g subsidies, such as HUD’s hous<strong>in</strong>g choice vouchers (HCVs), are<br />

critical to assist<strong>in</strong>g <strong>in</strong>dividuals <strong>in</strong> access<strong>in</strong>g safe, affordable hous<strong>in</strong>g without be<strong>in</strong>g too<br />

cost burdened to meet other basic needs such as food and transportation.<br />

Individuals with complex health needs, particularly those with severe mental illness and<br />

co-occurr<strong>in</strong>g substance use disorders, <strong>of</strong>ten have difficulty <strong>in</strong> ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g hous<strong>in</strong>g<br />

without appropriate supportive services, even with the provision <strong>of</strong> affordable hous<strong>in</strong>g.<br />

Increased access to low-barrier, permanent hous<strong>in</strong>g with wraparound supportive<br />

services is essential to meet<strong>in</strong>g the needs <strong>of</strong> this population. Key supportive hous<strong>in</strong>g<br />

services <strong>in</strong>clude medical and psychiatric treatment, case management, and resources<br />

designed to support <strong>in</strong>dependent liv<strong>in</strong>g, which are <strong>of</strong>ten funded through Medicaid.<br />

Income stability is critical to reta<strong>in</strong><strong>in</strong>g hous<strong>in</strong>g for <strong>in</strong>dividuals who have disabl<strong>in</strong>g<br />

conditions, and cash benefits and health <strong>in</strong>surance provided by Social Security disability<br />

programs, SSI, and Social Security Disability Insurance (SSDI) make it possible for<br />

these <strong>in</strong>dividuals to access important treatment and supportive services. However,<br />

despite high levels <strong>of</strong> disabl<strong>in</strong>g conditions, many <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness<br />

never apply for benefits, and those who do have a very low chance <strong>of</strong> approval without<br />

receiv<strong>in</strong>g active assistance <strong>in</strong> document<strong>in</strong>g their disabilities. Nationwide, an average <strong>of</strong><br />

28% <strong>of</strong> all <strong>in</strong>itial SSI/SSDI applications are approved, and this figure can be as low as<br />

10% to 15% among <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness. Denials typically result<br />

from the Social Security Adm<strong>in</strong>istration’s <strong>in</strong>ability to contact <strong>in</strong>dividuals, missed<br />

appo<strong>in</strong>tments, and, more generally, lack <strong>of</strong> adequate documentation. People<br />

experienc<strong>in</strong>g homelessness face many challenges when apply<strong>in</strong>g for disability benefits,<br />

<strong>in</strong>clud<strong>in</strong>g <strong>in</strong>consistent treatment, difficulty <strong>in</strong> locat<strong>in</strong>g medical records, lack <strong>of</strong> a stable<br />

address or telephone number for contact with Social Security, and difficulty <strong>in</strong><br />

understand<strong>in</strong>g complex and fragmented application processes.<br />

Further imped<strong>in</strong>g <strong>in</strong>come stability is the high prevalence <strong>of</strong> unemployment (estimated to<br />

be as high as 80% to 90%) among <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness, particularly<br />

those with severe mental illness. Frequently cited barriers to employment <strong>in</strong>clude<br />

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difficulties <strong>in</strong> obta<strong>in</strong><strong>in</strong>g psychiatric care, substance use, crim<strong>in</strong>al histories, lack <strong>of</strong> child<br />

care, and limited education. Lack<strong>in</strong>g a stable address, phone, work attire, and<br />

transportation further compounds barriers to stable employment. While day labor<br />

positions may provide limited <strong>in</strong>come for homeless <strong>in</strong>dividuals, particularly those with<br />

lower educational atta<strong>in</strong>ment and crim<strong>in</strong>al and alcohol use histories, they are not a<br />

reliable form <strong>of</strong> <strong>in</strong>come due to exploitation and <strong>in</strong>equality <strong>in</strong> the day labor market.<br />

Increas<strong>in</strong>g access to permanent, supportive employment options among <strong>in</strong>dividuals<br />

experienc<strong>in</strong>g homelessness is critical for <strong>in</strong>come stability.<br />

F<strong>in</strong>ally, crim<strong>in</strong>alization measures <strong>in</strong> effect across the United States that target activities<br />

associated with homelessness are not only <strong>in</strong>effective <strong>in</strong> reduc<strong>in</strong>g homelessness and<br />

costly to enforce but serve as a barrier to <strong>in</strong>come and hous<strong>in</strong>g stability. In 2016, the<br />

National Law Center on <strong>Homelessness</strong> and Poverty conducted a survey <strong>of</strong> the<br />

municipal codes <strong>in</strong> 187 cities and found that despite a shortage <strong>of</strong> hous<strong>in</strong>g and shelter<br />

options, many cities are choos<strong>in</strong>g to crim<strong>in</strong>ally punish <strong>in</strong>dividuals for carry<strong>in</strong>g out lifesusta<strong>in</strong><strong>in</strong>g<br />

tasks such as sleep<strong>in</strong>g <strong>in</strong> public, loiter<strong>in</strong>g, sitt<strong>in</strong>g or ly<strong>in</strong>g down <strong>in</strong> public,<br />

sleep<strong>in</strong>g <strong>in</strong> vehicles, shar<strong>in</strong>g food, and panhandl<strong>in</strong>g. <strong>The</strong> survey results showed that<br />

53% <strong>of</strong> cities prohibit sitt<strong>in</strong>g or ly<strong>in</strong>g down <strong>in</strong> public places, 43% prohibit sleep<strong>in</strong>g <strong>in</strong><br />

vehicles, 76% prohibit begg<strong>in</strong>g <strong>in</strong> particular public places, and 9% prohibit shar<strong>in</strong>g food<br />

with people experienc<strong>in</strong>g homelessness. <strong>The</strong>se crim<strong>in</strong>alization measures do noth<strong>in</strong>g to<br />

address the underly<strong>in</strong>g causes <strong>of</strong> homelessness, as most police <strong>in</strong>terventions are<br />

temporary and result <strong>in</strong> a f<strong>in</strong>e that homeless <strong>in</strong>dividuals are <strong>of</strong>ten not able to pay,<br />

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exacerbat<strong>in</strong>g their f<strong>in</strong>ancial <strong>in</strong>stability. Crim<strong>in</strong>alization <strong>of</strong> these measures is costly for<br />

taxpayers to enforce, and a study <strong>in</strong> Colorado showed that six <strong>of</strong> the state’s cities spent<br />

more than $5 million enforc<strong>in</strong>g 14 anti-homelessness ord<strong>in</strong>ances. Crim<strong>in</strong>al records<br />

negatively affect an <strong>in</strong>dividual’s access to hous<strong>in</strong>g, benefits, and employment, and<br />

these barriers are not limited to homeless adults. Homeless children and youths are<br />

also subject to liability under these ord<strong>in</strong>ances, along with ord<strong>in</strong>ances that apply<br />

uniquely to them such as status <strong>of</strong>fenses and truancy.<br />

As documented above, <strong>in</strong>dividuals and families experienc<strong>in</strong>g homelessness are more<br />

vulnerable to health <strong>in</strong>equities and have disproportionately poor health outcomes. <strong>The</strong><br />

World Health Organization emphasizes that improv<strong>in</strong>g social determ<strong>in</strong>ants <strong>of</strong> health is<br />

critical <strong>in</strong> achiev<strong>in</strong>g health equity with<strong>in</strong> a generation. Improv<strong>in</strong>g the conditions <strong>of</strong> daily<br />

life for vulnerable <strong>in</strong>dividuals, tackl<strong>in</strong>g the structural drivers <strong>of</strong> <strong>in</strong>equities (e.g., <strong>in</strong>effective<br />

social programs or <strong>in</strong>equitable economic opportunities), and rais<strong>in</strong>g public awareness <strong>of</strong><br />

social determ<strong>in</strong>ants <strong>of</strong> health are crucial to this process,[38] as are recogniz<strong>in</strong>g<br />

homelessness <strong>in</strong> the United States as a public health issue, address<strong>in</strong>g barriers<br />

h<strong>in</strong>der<strong>in</strong>g access to treatment and hous<strong>in</strong>g, and cont<strong>in</strong>u<strong>in</strong>g to support research that<br />

measures the effectiveness <strong>of</strong> social policies designed to end homelessness.<br />

Recent successes <strong>in</strong> address<strong>in</strong>g homelessness demonstrate that there are available<br />

solutions to this public health issue. From 2005 to 2013, overall homelessness<br />

decreased by 20%, while chronic homelessness decreased by 42% and homelessness<br />

among veterans by 24%. <strong>The</strong>se reductions have been attributed, at least <strong>in</strong> part, to<br />

concurrent dissem<strong>in</strong>ation and implementation <strong>of</strong> data-driven, results-oriented<br />

approaches to hous<strong>in</strong>g and homelessness. <strong>The</strong>se <strong>in</strong>terventions vary, as does the<br />

quality <strong>of</strong> evidence support<strong>in</strong>g them, accord<strong>in</strong>g to differ<strong>in</strong>g types or characteristics <strong>of</strong><br />

homelessness and the unique barriers faced.<br />

Evidence-Based Strategies to Address the Problem<br />

Numerous evidence-based strategies are be<strong>in</strong>g employed to end homelessness by<br />

<strong>in</strong>creas<strong>in</strong>g access to hous<strong>in</strong>g options and supportive services for hous<strong>in</strong>g stability.<br />

Examples <strong>of</strong> these evidence-based strategies are described below.<br />

Hous<strong>in</strong>g First Model: <strong>The</strong> Hous<strong>in</strong>g First model was developed as an alternative to the<br />

paradigm that <strong>in</strong>dividuals need to achieve “hous<strong>in</strong>g read<strong>in</strong>ess” by atta<strong>in</strong><strong>in</strong>g sobriety,<br />

comply<strong>in</strong>g with psychiatric treatment, and learn<strong>in</strong>g skills for <strong>in</strong>dependent liv<strong>in</strong>g prior to<br />

qualify<strong>in</strong>g for a permanent hous<strong>in</strong>g placement. In contrast, the Hous<strong>in</strong>g First model is<br />

based on the tenet that hous<strong>in</strong>g is a basic right and should be provided without<br />

prerequisites; this harm reduction approach values consumers’ choices <strong>in</strong> terms <strong>of</strong> their<br />

own needs and read<strong>in</strong>ess for treatment or substance use reduction. While the Hous<strong>in</strong>g<br />

First model encourages the provision <strong>of</strong> supportive wraparound services, its use is not<br />

limited to permanent supportive hous<strong>in</strong>g, and the pr<strong>in</strong>ciples should be applied whenever<br />

hous<strong>in</strong>g services are provided to <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness.<br />

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A review <strong>of</strong> 31 studies focus<strong>in</strong>g on outcomes associated with the Hous<strong>in</strong>g First model<br />

showed that the model resulted <strong>in</strong> faster hous<strong>in</strong>g placements than traditional treatmentdependent<br />

programs as well as <strong>in</strong>creased levels <strong>of</strong> hous<strong>in</strong>g retention, <strong>in</strong>clud<strong>in</strong>g among<br />

<strong>in</strong>dividuals with co-occurr<strong>in</strong>g substance dependence and mental disorders. <strong>The</strong><br />

<strong>in</strong>creased levels <strong>of</strong> hous<strong>in</strong>g retention also led to decreases <strong>in</strong> costly shelter use and<br />

fewer jail stays. In addition, several <strong>of</strong> the studies documented that participants reported<br />

a higher perceived quality <strong>of</strong> life and sense <strong>of</strong> choice. Conversely, <strong>in</strong> another study,<br />

<strong>in</strong>dividuals who had to enter <strong>in</strong>terim hous<strong>in</strong>g and wait for an available permanent<br />

hous<strong>in</strong>g placement reported worsen<strong>in</strong>g mental health symptoms, reduced their<br />

engagement with service providers, and had <strong>in</strong>consistent progress <strong>in</strong> non-hous<strong>in</strong>grelated<br />

recovery goals.<br />

Interventions <strong>in</strong>corporat<strong>in</strong>g the Hous<strong>in</strong>g First model are not limited to urban sett<strong>in</strong>gs.<br />

While rural sett<strong>in</strong>gs may have additional challenges (e.g., limited hous<strong>in</strong>g stock), the<br />

Hous<strong>in</strong>g First pr<strong>in</strong>ciples can be equally effective. An evaluation <strong>of</strong> Hous<strong>in</strong>g First<br />

<strong>in</strong>terventions implemented <strong>in</strong> rural areas <strong>in</strong> Vermont demonstrated an 85% hous<strong>in</strong>g<br />

retention rate over 3 years. A critical aspect <strong>of</strong> the successful implementation <strong>of</strong> this<br />

model was landlord engagement, particularly among tenants with crim<strong>in</strong>al histories or<br />

substance abuse disorders. In a study <strong>of</strong> landlord perceptions <strong>of</strong> participat<strong>in</strong>g <strong>in</strong><br />

Hous<strong>in</strong>g First, many <strong>of</strong> the landlords reported see<strong>in</strong>g the social value <strong>of</strong> help<strong>in</strong>g<br />

<strong>in</strong>dividuals <strong>in</strong>tegrate <strong>in</strong>to the community. <strong>The</strong>se landlords <strong>in</strong>dicated that they were more<br />

will<strong>in</strong>g to rent to tenants whom they would have not rented to before. Innovative landlord<br />

engagement at the community level can result <strong>in</strong> significantly <strong>in</strong>creased hous<strong>in</strong>g<br />

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opportunities for people experienc<strong>in</strong>g homelessness. Policies aimed at end<strong>in</strong>g and<br />

prevent<strong>in</strong>g homelessness should prioritize use <strong>of</strong> the Hous<strong>in</strong>g First model given its<br />

positive hous<strong>in</strong>g, health, and economic outcomes.<br />

Hous<strong>in</strong>g subsidies, <strong>in</strong>clud<strong>in</strong>g hous<strong>in</strong>g choice vouchers: More than 5.1 million low<strong>in</strong>come<br />

households <strong>in</strong> the United States receive federal rental assistance so that they<br />

can afford hous<strong>in</strong>g, with funds directed to elderly citizens, people with disabilities,<br />

veterans, and work<strong>in</strong>g families. Federal rental assistance is delivered through a number<br />

<strong>of</strong> programs, <strong>in</strong>clud<strong>in</strong>g public hous<strong>in</strong>g, Section 8 project-based hous<strong>in</strong>g, U.S.<br />

Department <strong>of</strong> Agriculture <strong>in</strong>itiatives, and the HCV program. <strong>The</strong> HCV program serves<br />

the largest number <strong>of</strong> households, 2.1 million, and allows very-low-<strong>in</strong>come families,<br />

<strong>in</strong>dividuals with disabilities, and the elderly to choose safe, affordable hous<strong>in</strong>g <strong>in</strong> the<br />

private market. Public hous<strong>in</strong>g agencies (PHAs) receive HUD fund<strong>in</strong>g to adm<strong>in</strong>ister the<br />

program and pay a subsidy directly to a landlord on behalf <strong>of</strong> the family; the family is<br />

responsible for the cost difference between the actual rent <strong>of</strong> the property and the<br />

subsidized amount, which is typically 30% <strong>of</strong> the family’s monthly adjusted <strong>in</strong>come.<br />

Federal rental assistance allows <strong>in</strong>dividuals and families to exit homelessness and<br />

greatly reduces hous<strong>in</strong>g <strong>in</strong>stability and overcrowd<strong>in</strong>g. In addition, research <strong>in</strong>to the<br />

effects <strong>of</strong> vouchers on families with children <strong>in</strong>dicates that voucher use cuts foster care<br />

placements <strong>in</strong> half (as children are not removed from homes due to hous<strong>in</strong>g <strong>in</strong>stability)<br />

and greatly reduces the number <strong>of</strong> moves from one school to another, which <strong>in</strong> turn<br />

improves academic performance and reduces behavioral and attention problems. By<br />

spend<strong>in</strong>g less on rent, families are also better able to meet food and other basic needs<br />

such as transportation, educational support for children, and health care. In HUD’s<br />

Family Options Study, which evaluated the effectiveness <strong>of</strong> various types <strong>of</strong> hous<strong>in</strong>g<br />

support for homeless families, researchers found substantial long-term benefits from the<br />

use <strong>of</strong> permanent supportive hous<strong>in</strong>g subsidies. Families who received priority access<br />

to these subsidies reduced their hous<strong>in</strong>g <strong>in</strong>stability by more than half, as evidenced by<br />

reductions <strong>in</strong> subsequent stays <strong>in</strong> shelters and places not meant for human habitation.<br />

<strong>The</strong>y also showed improvements <strong>in</strong> multiple measures <strong>of</strong> adult and child well-be<strong>in</strong>g and<br />

reduced their food <strong>in</strong>security.<br />

Permanent supportive hous<strong>in</strong>g: Permanent supportive hous<strong>in</strong>g is a comb<strong>in</strong>ation <strong>of</strong> safe,<br />

stable hous<strong>in</strong>g and supportive services for <strong>in</strong>dividuals who have serious mental<br />

illnesses or other disabl<strong>in</strong>g conditions and who need additional services to rema<strong>in</strong> stably<br />

housed. It is recognized by the Substance Abuse and Mental Health Services<br />

Adm<strong>in</strong>istration, HUD, and the U.S. Interagency Council on <strong>Homelessness</strong> as an<br />

evidence-based practice for chronically homeless <strong>in</strong>dividuals or those with complex<br />

health needs. Through this model, <strong>in</strong>dividuals receive flexible support based on their<br />

choices and needs, which can <strong>in</strong>clude case management, substance abuse or mental<br />

health counsel<strong>in</strong>g, assistance <strong>in</strong> <strong>in</strong>creas<strong>in</strong>g their <strong>in</strong>come through employment or<br />

disability benefits, tra<strong>in</strong><strong>in</strong>g <strong>in</strong> <strong>in</strong>dependent liv<strong>in</strong>g skills, vocational services, and other<br />

tenancy support services. <strong>The</strong>se supportive services are a critical part <strong>of</strong> improv<strong>in</strong>g<br />

hous<strong>in</strong>g stability outcomes <strong>in</strong> permanent hous<strong>in</strong>g programs. An example <strong>of</strong> a federal<br />

permanent supportive hous<strong>in</strong>g <strong>in</strong>itiative is the HUD-VASH (Veteran Affairs Supportive<br />

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Hous<strong>in</strong>g) Program, which comb<strong>in</strong>es HCV rental assistance for homeless veterans with<br />

case management and cl<strong>in</strong>ical services provided by the Department <strong>of</strong> Veterans Affairs<br />

(VA). From 2008 to 2015, more than 85,000 HUD-VASH vouchers were awarded. A<br />

review <strong>of</strong> research on permanent supportive hous<strong>in</strong>g showed that this model is effective<br />

<strong>in</strong> reduc<strong>in</strong>g homelessness, <strong>in</strong>creas<strong>in</strong>g hous<strong>in</strong>g stability, and reduc<strong>in</strong>g hospitalizations<br />

and ED use. <strong>The</strong>re are multiple types <strong>of</strong> permanent supportive hous<strong>in</strong>g programs that<br />

can facilitate better health outcomes and promote hous<strong>in</strong>g stability, <strong>in</strong>clud<strong>in</strong>g Hous<strong>in</strong>g<br />

First, harm reduction, and consumer-driven program designs.<br />

Numerous additional studies have documented that supportive hous<strong>in</strong>g for chronically<br />

homeless <strong>in</strong>dividuals reduces expensive ED usage. A study <strong>in</strong> Oregon revealed a 55%<br />

reduction <strong>in</strong> Medicaid claims for <strong>in</strong>dividuals 1 year after they obta<strong>in</strong>ed hous<strong>in</strong>g, while<br />

research <strong>in</strong> Chicago showed that hous<strong>in</strong>g and supportive services led to a 29%<br />

reduction <strong>in</strong> hospital days and a 24% reduction <strong>in</strong> ED visits. In addition, the New York<br />

Frequent Users Service Enhancement <strong>in</strong>itiative, which provided supportive hous<strong>in</strong>g to<br />

200 <strong>in</strong>dividuals with frequent jail and shelter stays, documented that 91% <strong>of</strong> participants<br />

rema<strong>in</strong>ed stably housed after 12 months, and annual total costs for crisis medical and<br />

behavioral health care services were reduced by $7,308 per person.<br />

<strong>The</strong> levels and types <strong>of</strong> support services <strong>of</strong>fered are <strong>in</strong>tentionally designed to be flexible<br />

and adaptive to the population be<strong>in</strong>g housed by a given program. <strong>The</strong> variety and extent<br />

<strong>of</strong> the service needs <strong>of</strong> tenants <strong>in</strong> permanent supportive hous<strong>in</strong>g must <strong>in</strong>fluence the<br />

types <strong>of</strong> services provided. Fund<strong>in</strong>g for effective permanent supportive hous<strong>in</strong>g program<br />

delivery should ensure appropriate staff-to-tenant ratios and services. Some tenant<br />

populations (particularly those with special needs) and services are more resource<br />

<strong>in</strong>tensive than others, requir<strong>in</strong>g programs to <strong>in</strong>crease the proportion <strong>of</strong> costs relative to<br />

hous<strong>in</strong>g subsidization and operat<strong>in</strong>g costs. Insufficient resources allocated to supportive<br />

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services result <strong>in</strong> underperformance with respect to program outcomes (e.g., hous<strong>in</strong>g<br />

<strong>in</strong>stability, unsafe conditions for tenants and staff).<br />

National Hous<strong>in</strong>g Trust Fund: <strong>The</strong> U.S. Congress established the National Hous<strong>in</strong>g<br />

Trust Fund (NHTF) under the Hous<strong>in</strong>g and <strong>Economic</strong> Recovery Act <strong>of</strong> 2008. This block<br />

grant, adm<strong>in</strong>istered by HUD, is <strong>in</strong>tended to supplement other federal and state efforts to<br />

provide safe, affordable hous<strong>in</strong>g for extremely low-<strong>in</strong>come households and families<br />

experienc<strong>in</strong>g homelessness. States are allocated a m<strong>in</strong>imum <strong>of</strong> $3 million per year and<br />

use these funds to acquire or construct new affordable hous<strong>in</strong>g units and rehabilitate<br />

exist<strong>in</strong>g units; 80% <strong>of</strong> the fund<strong>in</strong>g is dedicated to rental hous<strong>in</strong>g. <strong>The</strong> NHTF began<br />

receiv<strong>in</strong>g contributions from Freddie Mac and Fannie Mae <strong>in</strong> 2014, and HUD allocated<br />

the first $174 million <strong>in</strong> May 2016. This federal support for <strong>in</strong>creas<strong>in</strong>g the number <strong>of</strong><br />

affordable hous<strong>in</strong>g units is <strong>in</strong>valuable <strong>in</strong> terms <strong>of</strong> ensur<strong>in</strong>g hous<strong>in</strong>g stability and end<strong>in</strong>g<br />

homelessness; however, additional fund<strong>in</strong>g mechanisms to <strong>in</strong>crease contributions to the<br />

NHTF are necessary to ensure that states and the District <strong>of</strong> Columbia receive enough<br />

funds to support these goals.<br />

Increas<strong>in</strong>g <strong>in</strong>come support to promote hous<strong>in</strong>g stability: <strong>The</strong> federal strategy to end<br />

homelessness, Open<strong>in</strong>g Doors, emphasizes the need for <strong>in</strong>dividual economic security <strong>in</strong><br />

order to achieve hous<strong>in</strong>g stability. Programs aimed at <strong>in</strong>creas<strong>in</strong>g <strong>in</strong>come stability and<br />

f<strong>in</strong>ancial <strong>in</strong>dependence should be <strong>in</strong>tegrated <strong>in</strong>to hous<strong>in</strong>g and health <strong>in</strong>terventions, as<br />

the provision <strong>of</strong> hous<strong>in</strong>g alone will not be sufficient to end and prevent homelessness.<br />

In the case <strong>of</strong> <strong>in</strong>dividuals with disabl<strong>in</strong>g conditions, <strong>in</strong>creas<strong>in</strong>g access to Social Security<br />

disability benefit programs or VA disability benefits for veterans helps provide the cash<br />

benefits and health coverage that are key for hous<strong>in</strong>g retention. With respect to<br />

overcom<strong>in</strong>g barriers <strong>in</strong> application processes, research <strong>in</strong>dicates that comprehensive<br />

application assistance can <strong>in</strong>crease the approval rate for homeless <strong>in</strong>dividuals from<br />

28% to 73%. Additional research documents that programs provid<strong>in</strong>g SSI/SSDI<br />

application assistance to homeless <strong>in</strong>dividuals exit<strong>in</strong>g the justice system report<br />

<strong>in</strong>creased hous<strong>in</strong>g stability and reductions <strong>in</strong> rearrests and <strong>in</strong>carcerations, thus<br />

decreas<strong>in</strong>g system costs.<br />

Increas<strong>in</strong>g <strong>in</strong>come stability through employment is also critical to hous<strong>in</strong>g stability, and<br />

while unemployment rates are high among <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness,<br />

research shows that most members <strong>of</strong> this population, particularly those with severe<br />

mental illness, want to work and are capable <strong>of</strong> work<strong>in</strong>g. Supportive employment<br />

services have documented success <strong>in</strong> <strong>in</strong>creas<strong>in</strong>g access to and retention <strong>of</strong> competitive<br />

employment. A 2014 study revealed that, among <strong>in</strong>dividuals with psychiatric disabilities,<br />

those who received employer-provided accommodations for their disabilities worked<br />

7.68 more hours per month and reta<strong>in</strong>ed their job for almost 7 months longer; also, each<br />

job accommodation <strong>in</strong>dividuals received reduced their risk <strong>of</strong> job term<strong>in</strong>ation by almost<br />

13%. In addition, the Individual Placement and Support (IPS) model, which focuses on<br />

competitive employment, consumer preferences, rapid job search, and <strong>in</strong>dividualized<br />

job support and does not require extensive pre-employment read<strong>in</strong>ess or tra<strong>in</strong><strong>in</strong>g, has<br />

demonstrated success across 23 randomized controlled trials <strong>in</strong>volv<strong>in</strong>g <strong>in</strong>dividuals with<br />

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mental illnesses. Across these studies, an average <strong>of</strong> 60% <strong>of</strong> <strong>in</strong>dividuals us<strong>in</strong>g the IPS<br />

model obta<strong>in</strong>ed competitive employment; also, these <strong>in</strong>dividuals reta<strong>in</strong>ed their <strong>in</strong>itial job<br />

placement for 8 to 10 months and reported higher self-esteem and reduced mental<br />

health service use.<br />

<strong>Homelessness</strong> Prevention Programs: While <strong>in</strong>terventions for those experienc<strong>in</strong>g<br />

literal homelessness are critical, public policy and resources should also focus on<br />

prevent<strong>in</strong>g homelessness, particularly among youths, families, and veterans. Youths<br />

exit<strong>in</strong>g foster care are at high risk <strong>of</strong> homelessness due to lack <strong>of</strong> social support, poorer<br />

health outcomes, and underemployment, and many young homeless families are led by<br />

those who recently exited foster care. Homeless prevention programs for youths<br />

transition<strong>in</strong>g from foster care should <strong>in</strong>clude <strong>in</strong>creased access to mentor<strong>in</strong>g,<br />

employment and education support, and connection with permanent hous<strong>in</strong>g. In<br />

addition to educational and vocational resources, supportive services for families who<br />

are at risk <strong>of</strong> homelessness should focus on identify<strong>in</strong>g and address<strong>in</strong>g developmental<br />

delays <strong>in</strong> children, <strong>in</strong>creas<strong>in</strong>g access to treatment for parental substance abuse or<br />

mental health conditions, and provid<strong>in</strong>g parental support. Multidiscipl<strong>in</strong>ary teams<br />

work<strong>in</strong>g across schools, cl<strong>in</strong>ics, and social services are critical <strong>in</strong> identify<strong>in</strong>g children<br />

and families <strong>in</strong> need and arrang<strong>in</strong>g for appropriate resources.<br />

In the case <strong>of</strong> veterans who are at risk <strong>of</strong> homelessness, the VA has dedicated more<br />

than $1 billion <strong>in</strong> fund<strong>in</strong>g for homelessness prevention and rapid rehous<strong>in</strong>g <strong>in</strong>itiatives<br />

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through the Supportive Services for Veteran Families (SSVF) program. In the first four<br />

years <strong>of</strong> the program, which began <strong>in</strong> 2012, SSVF served more than 238,000 veterans,<br />

and 87% <strong>of</strong> those who received homelessness prevention assistance were able to<br />

access or ma<strong>in</strong>ta<strong>in</strong> permanent hous<strong>in</strong>g at the end <strong>of</strong> the assistance, which lasted 96<br />

days on average. More than half <strong>of</strong> veterans served through SSVF have one or more<br />

disabl<strong>in</strong>g conditions, and most (70%) earned less than 30% <strong>of</strong> the median <strong>in</strong>come <strong>in</strong><br />

their area upon program entrance. <strong>The</strong> SSVF program achieves successful<br />

homelessness prevention by provid<strong>in</strong>g time-limited cash assistance comb<strong>in</strong>ed with<br />

targeted service-<strong>in</strong>tensive <strong>in</strong>terventions to support access to employment and benefits.<br />

<strong>The</strong> VA has shown that limited-cost, short-term prevention efforts can be successful <strong>in</strong><br />

rega<strong>in</strong><strong>in</strong>g hous<strong>in</strong>g stability, and further research should explore the applicability <strong>of</strong> such<br />

f<strong>in</strong>d<strong>in</strong>gs to other subpopulations.<br />

Evaluations <strong>of</strong> programs aim<strong>in</strong>g to prevent homelessness have yielded mixed results. In<br />

New York City, one such program was shown to reduce new shelter entries by 5% to<br />

11% on average. Shelter length <strong>of</strong> stay, while not typically a targeted outcome <strong>of</strong><br />

prevention programs, nevertheless does not appear to be effected by prevention efforts.<br />

HUD’s <strong>Homelessness</strong> Prevention and Rapid Re-Hous<strong>in</strong>g Program was discont<strong>in</strong>ued <strong>in</strong><br />

2012 after demonstrat<strong>in</strong>g only mixed success. However, the lack <strong>of</strong> any <strong>in</strong>crease <strong>in</strong><br />

homelessness from 2009 to 2012 dur<strong>in</strong>g an economic recession <strong>in</strong> the United States<br />

has been attributed to large-scale <strong>in</strong>creases <strong>in</strong> prevention fund<strong>in</strong>g. In addition, many<br />

lessons were learned from the implementation <strong>of</strong> that program, and these lessons have<br />

led to a better understand<strong>in</strong>g <strong>of</strong> how to generate and measure program impact. Other<br />

countries, such as England and Germany, have documented greater success <strong>in</strong><br />

homeless prevention programs; however, these countries have more widely available<br />

hous<strong>in</strong>g subsidies, greater access to public or social hous<strong>in</strong>g, and more flexible cash<br />

assistance.<br />

Constructive Alternatives to <strong>The</strong> Crim<strong>in</strong>alization <strong>of</strong> <strong>Homelessness</strong>: Many states<br />

and municipalities cont<strong>in</strong>ue to pass laws that crim<strong>in</strong>alize behaviors associated with<br />

homelessness, such as shar<strong>in</strong>g food and loiter<strong>in</strong>g. While some <strong>of</strong> these laws have been<br />

struck down, many more are tak<strong>in</strong>g up costly resources to enforce and are <strong>in</strong>effective <strong>in</strong><br />

reduc<strong>in</strong>g homelessness or the crim<strong>in</strong>alized behavior they are <strong>in</strong>tended to deter.<br />

Internationally, human rights courts and national constitutional courts are <strong>in</strong>creas<strong>in</strong>gly<br />

recogniz<strong>in</strong>g a fundamental right to hous<strong>in</strong>g and pursu<strong>in</strong>g hous<strong>in</strong>g-related solutions to<br />

these behaviors, rather than a crim<strong>in</strong>al remedy. As a result, it is critical for communities<br />

<strong>in</strong> the United States to adopt constructive alternatives to crim<strong>in</strong>aliz<strong>in</strong>g basic lifesusta<strong>in</strong><strong>in</strong>g<br />

activities that <strong>in</strong>dividuals must perform <strong>in</strong> public spaces if there is no shelter<br />

or hous<strong>in</strong>g available.<br />

<strong>The</strong> hous<strong>in</strong>g-focused solutions detailed above are critical to reduc<strong>in</strong>g the behaviors that<br />

these laws are designed to deter. Individuals and families who have a safe, permanent<br />

place to live will no longer need to sleep <strong>in</strong> public or be targeted as loiter<strong>in</strong>g. However,<br />

while pursu<strong>in</strong>g hous<strong>in</strong>g is the ultimate goal, decrim<strong>in</strong>aliz<strong>in</strong>g the life-susta<strong>in</strong><strong>in</strong>g behaviors<br />

<strong>of</strong> people experienc<strong>in</strong>g homelessness and recogniz<strong>in</strong>g their fundamental human rights<br />

are essential. Money spent on enforcement <strong>of</strong> these laws could <strong>in</strong>stead be spent on<br />

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develop<strong>in</strong>g affordable hous<strong>in</strong>g options, re<strong>in</strong>vest<strong>in</strong>g <strong>in</strong> community services for homeless<br />

citizens, or establish<strong>in</strong>g street outreach teams to <strong>in</strong>crease engagement <strong>in</strong> services.<br />

<strong>Homelessness</strong> outreach teams staffed by police <strong>of</strong>ficers <strong>in</strong> Houston, M<strong>in</strong>nesota, and<br />

Milwaukee have proved successful <strong>in</strong> divert<strong>in</strong>g homeless <strong>in</strong>dividuals away from jails<br />

when they are <strong>in</strong> a mental health crisis, sav<strong>in</strong>g the crim<strong>in</strong>al justice system additional<br />

funds. F<strong>in</strong>ally, many cities and states across the country have enacted a homeless bill<br />

<strong>of</strong> rights, which is legislation that prohibits the crim<strong>in</strong>alization <strong>of</strong> homelessness and<br />

discrim<strong>in</strong>ation aga<strong>in</strong>st those experienc<strong>in</strong>g homelessness. <strong>The</strong>se rights <strong>in</strong>clude the right<br />

to move freely <strong>in</strong> public places, share food, rest, and ask for donations while be<strong>in</strong>g<br />

protected from harassment from police or others.<br />

Summary: In conclusion, there is no s<strong>in</strong>gle strategy sufficient to completely address or<br />

end homelessness. Interventions <strong>in</strong> hous<strong>in</strong>g, health, and <strong>in</strong>come stabilization should be<br />

holistically <strong>in</strong>tegrated, allow<strong>in</strong>g <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness to f<strong>in</strong>d their<br />

unique path to recovery. Further <strong>in</strong>novations and strategic <strong>in</strong>terventions beyond the<br />

currently accepted evidence-based strategies will likely be required to achieve this goal.<br />

Such <strong>in</strong>novations will require <strong>in</strong>terdiscipl<strong>in</strong>ary and cross-sector collaboration, <strong>in</strong>clud<strong>in</strong>g<br />

coord<strong>in</strong>ated, focused efforts from policymakers, governmental agencies, social services<br />

agencies, the health care <strong>in</strong>dustry, and researchers.<br />

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Oppos<strong>in</strong>g Arguments<br />

Those oppos<strong>in</strong>g state fund<strong>in</strong>g for shelters, permanent hous<strong>in</strong>g, and social welfare<br />

programs for the homeless <strong>of</strong>ten cite systemic <strong>in</strong>efficiencies and fraud. <strong>The</strong>y claim that<br />

these funds could be better used to create jobs or provide family and career counsel<strong>in</strong>g.<br />

Others argue that s<strong>in</strong>ce an <strong>in</strong>dividual is responsible for his or her homelessness,<br />

provid<strong>in</strong>g such support is immoral because it creates a culture <strong>of</strong> dependency and<br />

encourages free-riders. <strong>The</strong> argument that “homelessness is a choice” <strong>in</strong>cludes the<br />

belief that <strong>in</strong>dividuals are choos<strong>in</strong>g not to work, and thus to not have <strong>in</strong>come for<br />

hous<strong>in</strong>g, and the belief that <strong>in</strong>dividuals are homeless through “deviant” life choices such<br />

as us<strong>in</strong>g drugs or alcohol. However, these l<strong>in</strong>es <strong>of</strong> argument disregard the health and<br />

economic factors lead<strong>in</strong>g to homelessness (as discussed above). Be<strong>in</strong>g homeless is a<br />

complex issue cover<strong>in</strong>g <strong>in</strong>dividual adults and children, as well as two-person and s<strong>in</strong>gleparent<br />

families.<br />

Respond<strong>in</strong>g to homeless families raises some complex ethical issues, such as whether<br />

it is better to keep children with parents <strong>in</strong> a homeless shelter or whether or not to return<br />

abuse victims to potentially dangerous situations. While these concerns are valid and<br />

could be addressed if better evidence were made available, this does not preclude the<br />

need to provide support to families and their children <strong>in</strong> times <strong>of</strong> need. Children who<br />

experience family homelessness are at risk <strong>of</strong> higher stress levels, health problems, and<br />

need for pediatric health care, which also <strong>in</strong>creases costs to the overall system when<br />

<strong>in</strong>terventions to address episodes <strong>of</strong> homelessness are not addressed.<br />

In addition, there is political and philosophical opposition to prioritiz<strong>in</strong>g social services<br />

for hous<strong>in</strong>g and homeless programs (so-called “political will”) with<strong>in</strong> governmental<br />

entities and <strong>in</strong> communities at large that contribute their taxes to such programs and<br />

elect representatives to reflect such priorities. Under-prioritization <strong>of</strong> such services tends<br />

to disregard the preventative and cost-sav<strong>in</strong>g characteristics <strong>of</strong> social services aimed at<br />

address<strong>in</strong>g homelessness and <strong>in</strong>stead focuses on opportunity cost trade-<strong>of</strong>fs and a<br />

cost-m<strong>in</strong>imization approach to governance. This means that such political will fails to<br />

recognize the costs <strong>of</strong> services already be<strong>in</strong>g supported to address the adverse effects<br />

<strong>of</strong> homelessness such as health care and crim<strong>in</strong>al justice system costs.<br />

Another political solution <strong>of</strong>ten pr<strong>of</strong>fered comes <strong>in</strong> the form <strong>of</strong> exclusionary or punitive<br />

policies tasked to law enforcement services. <strong>The</strong>se policies, such as bans on<br />

panhandl<strong>in</strong>g or sleep<strong>in</strong>g <strong>in</strong> public, are counterproductive to the <strong>in</strong>terventional objectives<br />

<strong>of</strong> hous<strong>in</strong>g and homelessness agencies. However, these services have been shown to<br />

stem from socialized reactions such as disgust or a desire for physical separation from<br />

symbols <strong>of</strong> poverty, and they were not derived from evidence-based or outcomeoriented<br />

solutions. Instead, these policies are studied <strong>in</strong> similar terms to the microaggression<br />

phenomena associated with homelessness, such as dangerousness,<br />

assumptions <strong>of</strong> substance abuse, laz<strong>in</strong>ess, and <strong>in</strong>tellectual <strong>in</strong>feriority. Such negative<br />

public perceptions <strong>of</strong> <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness also implicitly support and<br />

bolster counterarguments to implementation <strong>of</strong> hous<strong>in</strong>g and homelessness services.<br />

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While the HCV program provides much-needed assistance to <strong>in</strong>dividuals experienc<strong>in</strong>g<br />

homelessness, critics argue that wait<strong>in</strong>g lists for these vouchers are extensive, with<br />

many PHAs not accept<strong>in</strong>g new applicants and many eligible voucher holders wait<strong>in</strong>g 2<br />

years for an available unit. PHAs are constra<strong>in</strong>ed by the amount <strong>of</strong> funds they receive<br />

from HUD and cannot serve every household that qualifies for the program; as a result,<br />

PHAs must ration vouchers and have wide discretion over eligibility criteria.<br />

Furthermore, a recent meta-analysis <strong>of</strong> the program documents that participants are not<br />

mov<strong>in</strong>g to areas <strong>of</strong> lower poverty, thus not fulfill<strong>in</strong>g one <strong>of</strong> the program aims <strong>of</strong><br />

deconcentrat<strong>in</strong>g areas <strong>of</strong> poverty, and that almost one third <strong>of</strong> qualify<strong>in</strong>g families are<br />

return<strong>in</strong>g vouchers unused. Limitations on voucher usage result from a variety <strong>of</strong><br />

factors, <strong>in</strong>clud<strong>in</strong>g participants not be<strong>in</strong>g able to afford a security deposit, lengthy wait<br />

times for PHA <strong>in</strong>spections <strong>of</strong> properties before move-<strong>in</strong>, and unpredictable tim<strong>in</strong>g <strong>of</strong><br />

voucher availability. In addition, <strong>in</strong>dividual landlords have the choice <strong>of</strong> whether or not to<br />

accept vouchers from applicants, which decreases the geographic and socioeconomic<br />

range <strong>of</strong> sites available to those access<strong>in</strong>g the program. However, many <strong>of</strong> these<br />

limitations can be overcome through adequately fund<strong>in</strong>g the HCV program to reduce<br />

wait<strong>in</strong>g lists and <strong>in</strong>creas<strong>in</strong>g the stability <strong>of</strong> voucher availability. In addition, programs that<br />

foster <strong>in</strong>come stability and f<strong>in</strong>ancial <strong>in</strong>dependence can enable families to return<br />

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vouchers when they are no longer needed, allow<strong>in</strong>g PHAs to target voucher use toward<br />

families with the highest needs.<br />

Such regulatory limits to the effectiveness <strong>of</strong> hous<strong>in</strong>g vouchers also play a role <strong>in</strong> the<br />

causal pathway to homelessness, along with limit<strong>in</strong>g the effectiveness <strong>of</strong> <strong>in</strong>terventions<br />

to resolve it. <strong>Economic</strong> conditions such as fluctuations <strong>in</strong> wage and employment levels,<br />

the ris<strong>in</strong>g costs <strong>of</strong> hous<strong>in</strong>g even at the lowest levels, and <strong>in</strong>come or wage gaps all play a<br />

part <strong>in</strong> driv<strong>in</strong>g <strong>in</strong>dividuals <strong>in</strong>to episodes <strong>of</strong> homelessness, <strong>in</strong>creas<strong>in</strong>g the complexity <strong>of</strong><br />

the problem. Similarly, beyond such economic drivers, there are a wide range <strong>of</strong><br />

reasons why <strong>in</strong>dividuals become homeless. Families may experience homelessness as<br />

a result <strong>of</strong> conditions <strong>in</strong> or outside <strong>of</strong> their control, such as unsafe home environments,<br />

traumatic or violent events, natural disasters, unexpected costs that overwhelm f<strong>in</strong>ancial<br />

safety nets, and temporary lapses <strong>in</strong> availability for employment. <strong>The</strong>se complexities<br />

can be po<strong>in</strong>ted to as a reason for programs’ <strong>in</strong>ability to “end” homelessness, but they do<br />

not eclipse support for expansion <strong>of</strong> programs that seek to solve current homelessness<br />

or prevent future homelessness from occurr<strong>in</strong>g.<br />

This issue <strong>of</strong> complex economic, systemic, and social drivers is also connected to the<br />

notion that hous<strong>in</strong>g support and other homelessness services will end up be<strong>in</strong>g a<br />

permanent crutch to <strong>in</strong>dividuals access<strong>in</strong>g them. In fact, such a model <strong>of</strong> homelessness<br />

simultaneously supports the case that homelessness is <strong>in</strong> some ways beyond the<br />

control <strong>of</strong> the <strong>in</strong>dividuals it affects, contrary to the aforementioned negative perceptions<br />

held by political entities and members <strong>of</strong> society. If the complex web <strong>of</strong> causes <strong>of</strong><br />

homelessness stems even <strong>in</strong> part from factors external to <strong>in</strong>dividual behaviors or<br />

characteristics, then <strong>in</strong>terventions <strong>in</strong>tended to either temporarily or systematically<br />

remedy those factors cannot be dismissed outright.<br />

F<strong>in</strong>ally, the popular media <strong>of</strong>ten cites widespread fraud <strong>in</strong> social programs as a reason<br />

to defund hous<strong>in</strong>g and <strong>in</strong>come support services. Despite media portrayals <strong>of</strong><br />

widespread disability fraud, the Social Security Adm<strong>in</strong>istration found <strong>in</strong> 2012 that only<br />

1% <strong>of</strong> payments were <strong>in</strong>accurate and that most cases <strong>of</strong> fraud are detected prior to an<br />

<strong>in</strong>dividual receiv<strong>in</strong>g payment. Similarly, HUD found that just over 1% <strong>of</strong> families liv<strong>in</strong>g <strong>in</strong><br />

public hous<strong>in</strong>g exceeded <strong>in</strong>come limits, and the agency has taken action to encourage<br />

PHAs to withdraw vouchers from these families and target vouchers to those with the<br />

highest needs.<br />

Action Steps<br />

This policy statement represents APHA’s strong commitment to end<strong>in</strong>g and prevent<strong>in</strong>g<br />

homelessness. As a means <strong>of</strong> reach<strong>in</strong>g this goal, APHA:<br />

1. Calls upon federal agencies such as HUD and the U.S. Department <strong>of</strong> Health<br />

and Human Services, states, and local providers <strong>of</strong> hous<strong>in</strong>g and homelessness<br />

services to promote programs that demonstrate adherence to the Hous<strong>in</strong>g First<br />

model, prioritiz<strong>in</strong>g low-barrier access to hous<strong>in</strong>g for <strong>in</strong>dividuals experienc<strong>in</strong>g<br />

homelessness across all hous<strong>in</strong>g program types, with an emphasis on harm<br />

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eduction approaches to hous<strong>in</strong>g and consumer-driven program designs and<br />

structures.<br />

2. Urges Congress to adequately appropriate funds for rental assistance options,<br />

<strong>in</strong>clud<strong>in</strong>g the HCV program, to ensure that HUD and the U.S. Department <strong>of</strong><br />

Agriculture can meet future commitments and community needs for affordable<br />

hous<strong>in</strong>g.<br />

3. Urges Congress to identify additional fund<strong>in</strong>g mechanisms for the National<br />

Hous<strong>in</strong>g Trust Fund to ensure that states receive adequate fund<strong>in</strong>g to <strong>in</strong>crease<br />

the availability <strong>of</strong> affordable hous<strong>in</strong>g units.<br />

4. Urges federal, state, and local agencies fund<strong>in</strong>g hous<strong>in</strong>g and homelessness<br />

services to expand their commitments to provide resources for permanent<br />

supportive hous<strong>in</strong>g programs, rapid rehous<strong>in</strong>g programs, and prevention <strong>of</strong><br />

homelessness appropriate to levels <strong>of</strong> unmet need, as demonstrated <strong>in</strong> federal<br />

reports.<br />

5. Calls upon federal, state, and local agencies fund<strong>in</strong>g or provid<strong>in</strong>g regulatory<br />

oversight for hous<strong>in</strong>g and homelessness services to provide sufficient fund<strong>in</strong>g for<br />

supportive services <strong>in</strong> all hous<strong>in</strong>g and homelessness <strong>in</strong>terventions and flexible<br />

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program budget<strong>in</strong>g to permit appropriate funds for supportive services to meet<br />

the greater needs <strong>of</strong> high-acuity populations.<br />

6. Urges federal, state, and local agencies fund<strong>in</strong>g hous<strong>in</strong>g and homelessness<br />

services to adopt a “health <strong>in</strong> all policies” approach to policy decision mak<strong>in</strong>g by<br />

<strong>in</strong>corporat<strong>in</strong>g health considerations <strong>in</strong>to impact estimates, evaluations, and<br />

report<strong>in</strong>g across all sectors and policy-mak<strong>in</strong>g or policy-guid<strong>in</strong>g entities <strong>in</strong>volved<br />

with hous<strong>in</strong>g and homeless services.<br />

7. Calls upon federal, state, and local agencies to identify and adopt alternative<br />

solutions to crim<strong>in</strong>aliz<strong>in</strong>g homelessness, <strong>in</strong>clud<strong>in</strong>g adoption <strong>of</strong> a homeless bill <strong>of</strong><br />

rights.<br />

8. Urges federal, state, and local agencies fund<strong>in</strong>g hous<strong>in</strong>g and homelessness<br />

services to support tailor<strong>in</strong>g <strong>of</strong> <strong>in</strong>terventions for special populations demonstrated<br />

to be at excess risk <strong>of</strong> homelessness, particularly vulnerable while homeless, or<br />

disparately access<strong>in</strong>g or receiv<strong>in</strong>g hous<strong>in</strong>g or homelessness services.<br />

9. Calls upon federal, state, and local agencies to promote allocation <strong>of</strong> expanded<br />

and new funds for services that target prevention <strong>of</strong> homelessness, <strong>in</strong>clud<strong>in</strong>g<br />

rental assistance, outreach to schools and low-<strong>in</strong>come communities, and<br />

vocational and educational resources and supportive services for families found<br />

to be at risk <strong>of</strong> homelessness.<br />

10. Calls upon federal, state, and local agencies to provide comprehensive<br />

assistance to homeless <strong>in</strong>dividuals with disabl<strong>in</strong>g conditions <strong>in</strong> apply<strong>in</strong>g for any<br />

disability benefits for which they qualify.<br />

11. Calls upon federal, state, and local agencies to promote allocation <strong>of</strong> funds and<br />

services that provide <strong>in</strong>dividualized employment support and tra<strong>in</strong><strong>in</strong>g to assist<br />

homeless <strong>in</strong>dividuals <strong>in</strong> obta<strong>in</strong><strong>in</strong>g competitive employment.<br />

12. Calls upon federal, state, and local agencies to promote regulatory opportunities<br />

and provide technical assistance highlight<strong>in</strong>g improved <strong>in</strong>tegration <strong>of</strong><br />

occupational tra<strong>in</strong><strong>in</strong>g, mental health care, primary health care, medicolegal and<br />

legal services, and other ancillary services <strong>in</strong>to hous<strong>in</strong>g or homelessness<br />

program services.<br />

13. Urges federal, state, and local agencies to <strong>in</strong>crease fund<strong>in</strong>g for academic and<br />

community-based research to develop the necessary evidence base for current<br />

<strong>in</strong>terventions and evaluate the impact <strong>of</strong> new programs as they are developed,<br />

<strong>in</strong>corporat<strong>in</strong>g guidance from consumer priorities and the expertise <strong>of</strong> the scientific<br />

community.<br />

________<br />

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Assess<strong>in</strong>g the Role <strong>of</strong> Public Hous<strong>in</strong>g Agencies <strong>in</strong><br />

Address<strong>in</strong>g <strong>Homelessness</strong><br />

U.S. Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development<br />

PD&R Edge Onl<strong>in</strong>e Magaz<strong>in</strong>e<br />

Although the number <strong>of</strong> people <strong>in</strong> the United States who experienced homelessness<br />

decl<strong>in</strong>ed by more than 8 percent between 2007 and 2013, homelessness rema<strong>in</strong>s a<br />

press<strong>in</strong>g problem. As many as 1.5 million people stay <strong>in</strong> emergency shelters or<br />

transitional hous<strong>in</strong>g at some time over the course <strong>of</strong> a year — a number that does not<br />

<strong>in</strong>clude those who require but do not receive such assistance. HUD is committed to<br />

address<strong>in</strong>g homelessness and work<strong>in</strong>g toward the goals outl<strong>in</strong>ed <strong>in</strong> the Obama<br />

adm<strong>in</strong>istration’s 2010 plan Open<strong>in</strong>g Doors: Federal Strategic Plan to Prevent and End<br />

<strong>Homelessness</strong>.<br />

A recent study commissioned by HUD’s Office <strong>of</strong> Policy Development and Research<br />

<strong>in</strong>vestigates how public hous<strong>in</strong>g agencies (PHAs) contribute to efforts to prevent and<br />

end homelessness — particularly through the adm<strong>in</strong>istration <strong>of</strong> their Hous<strong>in</strong>g Choice<br />

Voucher (HCV) and public hous<strong>in</strong>g programs. <strong>The</strong><br />

research, “Study <strong>of</strong> PHAs’ Efforts to Serve People<br />

Experienc<strong>in</strong>g <strong>Homelessness</strong>,” consisted <strong>of</strong> a web-based<br />

survey <strong>of</strong> the nearly 4,000 local PHAs (with an 80%<br />

response rate) and a follow-up telephone survey <strong>of</strong> 120<br />

selected PHAs. <strong>The</strong> surveys explore the extent to which<br />

PHAs make explicit efforts to target hous<strong>in</strong>g assistance to<br />

homeless households, the barriers PHAs face when<br />

assist<strong>in</strong>g people experienc<strong>in</strong>g homelessness, how PHAs<br />

<strong>in</strong>teract with community partners, and how HUD can help<br />

PHAs enhance their efforts to address homelessness.<br />

Key F<strong>in</strong>d<strong>in</strong>gs<br />

<strong>The</strong> study revealed, overall, that 24 percent <strong>of</strong> PHAs,<br />

controll<strong>in</strong>g 53 percent <strong>of</strong> all assisted hous<strong>in</strong>g units, make<br />

an explicit effort to target hous<strong>in</strong>g assistance to homeless households. For the purposes<br />

<strong>of</strong> this study, these efforts were described <strong>in</strong> three separate categories: 1) general<br />

preferences, which enable the PHA to purposefully order their wait<strong>in</strong>g list to ensure that<br />

hous<strong>in</strong>g resources reach specified populations ahead <strong>of</strong> those who may also be eligible<br />

for hous<strong>in</strong>g assistance, 2) limited preferences, which function similar to a general<br />

preference, but cap the number <strong>of</strong> vouchers or units that may be allocated to a specified<br />

population, and 3) modification <strong>of</strong> screen<strong>in</strong>g, which refers to changes <strong>in</strong> screen<strong>in</strong>g<br />

procedures or other policies that may serve as barriers to homeless households seek<strong>in</strong>g<br />

to access or utilize hous<strong>in</strong>g assistance.<br />

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Additional key f<strong>in</strong>d<strong>in</strong>gs concern which PHA characteristics are associated with targeted<br />

PHA efforts to serve homeless households.<br />

<br />

PHAs are more likely to make an effort to serve homeless households if the<br />

PHAs are large (adm<strong>in</strong>ister<strong>in</strong>g 5,000 or more units), are located <strong>in</strong> metropolitan<br />

areas or areas with large numbers <strong>of</strong> people experienc<strong>in</strong>g homelessness, have<br />

statewide jurisdictions, or participate <strong>in</strong> other local efforts to address<br />

homelessness, such as Cont<strong>in</strong>uums <strong>of</strong> Care (CoCs) — which are regional<br />

entities established to identify and coord<strong>in</strong>ate emergency, transitional, and<br />

permanent hous<strong>in</strong>g services for people experienc<strong>in</strong>g homelessness.<br />

PHA adm<strong>in</strong>istration <strong>of</strong> HUD McK<strong>in</strong>ney-Vento homeless assistance programs —<br />

Supportive Hous<strong>in</strong>g Program, Shelter Plus Care program, and Section 8 SRO<br />

Moderate Rehabilitation program — was found to have a statistically significant<br />

effect on the likelihood that a PHA would use a strong general preference. More<br />

than half <strong>of</strong> PHAs that adm<strong>in</strong>ister these programs make a special effort to serve<br />

people experienc<strong>in</strong>g homelessness.<br />

<br />

<br />

<br />

<br />

PHAs that adm<strong>in</strong>ister special-purpose vouchers (SPVs) for difficult-to-house<br />

groups such as nonelderly disabled persons are more likely to make efforts to<br />

serve people experienc<strong>in</strong>g homelessness; 45 percent <strong>of</strong> PHAs adm<strong>in</strong>ister<strong>in</strong>g<br />

SPVs make some effort to serve people experienc<strong>in</strong>g homelessness compared<br />

with 20 percent <strong>of</strong> those that do not adm<strong>in</strong>ister SPVs.<br />

Only 17 percent <strong>of</strong> PHAs that do not adm<strong>in</strong>ister HUD programs targeted at<br />

homeless households make efforts to serve persons experienc<strong>in</strong>g homelessness<br />

<strong>in</strong> their HCV and public hous<strong>in</strong>g programs.<br />

Small PHAs are less likely than larger ones to have established a limited<br />

preference for homeless households or modified screen<strong>in</strong>g processes, but they<br />

are just as likely as larger PHAs to use general preferences targeted to homeless<br />

households.<br />

It is more common for a limited preference for homeless households to be<br />

established with<strong>in</strong> both tenant-based and project-based voucher programs than<br />

public hous<strong>in</strong>g programs.<br />

Other factors, such as the culture <strong>of</strong> a PHA or the priorities <strong>of</strong> an executive director, may<br />

also <strong>in</strong>fluence a PHA’s engagement with homeless households, but these factors are<br />

difficult to measure. In addition, various real or perceived barriers may dissuade PHAs<br />

from engag<strong>in</strong>g <strong>in</strong> efforts to serve people experienc<strong>in</strong>g homelessness. <strong>The</strong> most<br />

common barrier cited by PHAs is concern that homeless applicants may be removed<br />

from the wait<strong>in</strong>g list because they lack a fixed address and cannot be found when the<br />

PHA is ready to make an <strong>of</strong>fer <strong>of</strong> assistance. Other barriers cited by PHAs <strong>in</strong>clude<br />

homeless households lack<strong>in</strong>g the necessary eligibility documentation, as well as<br />

need<strong>in</strong>g hous<strong>in</strong>g search or landlord assistance when us<strong>in</strong>g HCVs.<br />

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PHAs are serv<strong>in</strong>g formerly homeless households through numerous approaches. Many<br />

PHAs forge relationships with local public and nonpr<strong>of</strong>it community organizations to<br />

identify and help persons experienc<strong>in</strong>g homelessness. <strong>The</strong>se community partners may<br />

refer households to the PHA; help households prepare documentation to demonstrate<br />

eligibility for hous<strong>in</strong>g assistance; or <strong>of</strong>fer support services such as case management,<br />

food assistance, or employment and vocational tra<strong>in</strong><strong>in</strong>g.<br />

How HUD Can Encourage Further PHA Efforts<br />

<strong>The</strong>se research f<strong>in</strong>d<strong>in</strong>gs provide a basis for understand<strong>in</strong>g which types <strong>of</strong> PHAs are<br />

currently strongly engaged <strong>in</strong> address<strong>in</strong>g homelessness, and helps shed light on<br />

potential opportunities for PHAs that have previously not made special efforts to serve<br />

homeless households. Based on their f<strong>in</strong>d<strong>in</strong>gs, the researchers recommend that HUD<br />

encourage large PHAs to establish a limited preference for homeless households, and<br />

work with their local CoC on the target population to which the limited preference should<br />

be directed, and encourage smaller PHAs to establish a general preference for<br />

homeless households. <strong>The</strong> researchers suggest that PHAs <strong>of</strong> all sizes would benefit<br />

from tra<strong>in</strong><strong>in</strong>g to better understand and implement recent HUD guidel<strong>in</strong>es (PIH Notice<br />

2013–15 (HA)) that clarify def<strong>in</strong>itions <strong>of</strong> homelessness and permissible preference<br />

policies. HUD could also encourage PHAs to learn from one another and to partner with<br />

local groups that serve people experienc<strong>in</strong>g homelessness, especially CoCs.<br />

This study provides a po<strong>in</strong>t-<strong>in</strong>-time snapshot <strong>of</strong> PHA efforts to serve people<br />

experienc<strong>in</strong>g homelessness that can serve as a basel<strong>in</strong>e from which to measure future<br />

change. <strong>The</strong> f<strong>in</strong>d<strong>in</strong>gs should guide HUD <strong>in</strong> promot<strong>in</strong>g best practices and advocat<strong>in</strong>g for<br />

support as the Department cont<strong>in</strong>ues to help PHAs <strong>in</strong> their work to end homelessness <strong>in</strong><br />

their local community.<br />

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Page 116 <strong>of</strong> 289


VI. Public Assistance<br />

Pennsylvania<br />

Pennsylvania eviction prevention and Homeless Assistance Program.<br />

Families fac<strong>in</strong>g eviction or foreclosure <strong>in</strong> Pennsylvania can get help from the Homeless<br />

Assistance Program. This is adm<strong>in</strong>istered by non-pr<strong>of</strong>its across the state <strong>in</strong> partnership<br />

with the Pennsylvania Department <strong>of</strong> Public Welfare. Us<strong>in</strong>g government grants, there<br />

are emergency funds available for pay<strong>in</strong>g rent, energy bills, security deposits, and other<br />

hous<strong>in</strong>g expenses. For those that are currently homeless and seek<strong>in</strong>g a new home,<br />

support is <strong>of</strong>fered to them as well, <strong>in</strong>clud<strong>in</strong>g access to shelters and transitional hous<strong>in</strong>g.<br />

<strong>The</strong> state tries to take a pro-active approach to tack<strong>in</strong>g homelessness. Government<br />

<strong>of</strong>ficials and representatives from the various non-pr<strong>of</strong>its listed below know it is better<br />

for the <strong>in</strong>dividual, and less expensive for the state, to provide emergency help to stop<br />

the eviction or foreclosure from occurr<strong>in</strong>g <strong>in</strong> the first place. So this is a key goal <strong>of</strong> HAP.<br />

In addition to f<strong>in</strong>ancial support, <strong>in</strong>dividuals will have access to ongo<strong>in</strong>g case<br />

management services. Staff from an <strong>in</strong>take site will work with clients on identify<strong>in</strong>g<br />

their needs and challenges. This will touch on a number <strong>of</strong> topics, <strong>in</strong>clud<strong>in</strong>g budget<strong>in</strong>g,<br />

employment, and credit counsel<strong>in</strong>g.<br />

<strong>The</strong> objective to solve the underly<strong>in</strong>g cause <strong>of</strong> why someone became homeless <strong>in</strong> the<br />

first place or why they are fac<strong>in</strong>g eviction. Another goal <strong>of</strong> the Case Management<br />

component <strong>of</strong> Homeless Assistance Program is to provide clients with the tools and<br />

skills they need to ga<strong>in</strong> stability and end a cycle <strong>of</strong> homelessness.<br />

While the case management approach will vary by county and agency, the many<br />

services that may be available <strong>in</strong>clude, but are not limited to, home management,<br />

budget<strong>in</strong>g, life skills, job preparation, and referral to public benefits, if needed.<br />

Emergency rental or mortgage assistance may be <strong>of</strong>fered, depend<strong>in</strong>g on county and<br />

fund<strong>in</strong>g levels. Families fac<strong>in</strong>g eviction or foreclosure may qualify for help. In addition to<br />

that, the currently homeless may be <strong>of</strong>fered assistance with pay<strong>in</strong>g a security deposit as<br />

Page 117 <strong>of</strong> 289


part <strong>of</strong> HAP. Regardless, all emergency assistance is very limited, and some families<br />

may be issued a loan as part <strong>of</strong> the Homeless Assistance Program. Most <strong>of</strong> it is <strong>of</strong>fered<br />

on a first come and served basis to those that qualify.<br />

Your county will also <strong>of</strong>fer mediation and counsel<strong>in</strong>g with your landlord. In some case,<br />

free legal aid may be provided <strong>in</strong> an effort to stop the eviction from occurr<strong>in</strong>g. Grants<br />

that are issued from HAP may also be applied <strong>in</strong> order to move a family out <strong>of</strong> shelter<br />

<strong>in</strong>to a low <strong>in</strong>come apartment <strong>in</strong> Pennsylvania. So this is where a deposit or first months<br />

rent may be paid.<br />

Short term shelter is for the currently homeless. This is only for those with no<br />

permanent residence due to an eviction or foreclosure. <strong>The</strong>re are also shelters <strong>in</strong><br />

Pennsylvania for victims <strong>of</strong> domestic violence, veterans, children, and others. Guests <strong>of</strong><br />

the centers will also be provided with case management services to assist with secur<strong>in</strong>g<br />

employment, stability and more permanent hous<strong>in</strong>g.<br />

Vouchers for motels or hotels may be distributed <strong>in</strong> some counties us<strong>in</strong>g HAP funds.<br />

<strong>The</strong>se will be issued when all shelters are full. <strong>The</strong>y can generally be issued when the<br />

homeless families’ health or safety is at risk, such as dur<strong>in</strong>g cold w<strong>in</strong>ter weather or<br />

when a family (such as a s<strong>in</strong>gle mom) needs to keep their children safe. Or free<br />

vouchers can help <strong>in</strong>dividuals that were just evicted and that need a place for a nigh.<br />

Many charities may also <strong>of</strong>fer emergency motel vouchers.<br />

Those who exist the shelter may take part <strong>in</strong> the Pennsylvania Department <strong>of</strong> Public<br />

Welfare Bridge Hous<strong>in</strong>g. It is the state’s name for a transitional situation. It is the next<br />

step up from an emergency shelter to a permanent home. This service will allow <strong>in</strong>come<br />

qualified families to live <strong>in</strong> a shared facility or apartment for up to 18 months. <strong>The</strong>y will<br />

need to pay a portion <strong>of</strong> their <strong>in</strong>come for rent and receive support from case managers<br />

from the non-pr<strong>of</strong>it <strong>in</strong> their county. If the Bride program is not available, additional short<br />

term transitional hous<strong>in</strong>g programs may be provided.<br />

Organizations That Offer Homeless Assistance<br />

Adams County<br />

Courthouse, 117 Baltimore Street<br />

Gettysburg, Pennsylvania 17325<br />

Phone - (717) 337-9820<br />

Allegheny County<br />

Bureau <strong>of</strong> Hunger and Hous<strong>in</strong>g Services<br />

One Smithfield Street, Human Services Build<strong>in</strong>g, 2nd Floor,<br />

Pittsburgh, PA 15222-2225<br />

(412) 350-4354<br />

Whether it is a cash grant for a security deposit, or legal aid, non-pr<strong>of</strong>its will try to stop<br />

an eviction.<br />

Page 118 <strong>of</strong> 289


Armstrong County<br />

Community Action Agency<br />

705 Butler Road<br />

Kittann<strong>in</strong>g, PA 16201<br />

Telephone: (724) 548-3433<br />

Beaver County<br />

Community Services Program <strong>of</strong> Beaver County<br />

1013 8th Avenue<br />

Beaver Falls, PA 15010<br />

(724) 847-3889<br />

Bedford County<br />

Center for Community Action<br />

Address is 195 Drive In Lane<br />

Everett, Pennsylvania 15537<br />

(814) 643-4202<br />

Berks County<br />

Human Services/ Grants Coord<strong>in</strong>ator, County <strong>of</strong> Berks<br />

633 Court Street, 13th Floor<br />

Read<strong>in</strong>g, PA 19601<br />

Ma<strong>in</strong> number - (610) 478-6194<br />

Blair County<br />

Human Services Office<br />

423 Allegheny Street Suite 443<br />

Hollidaysburg, PA 16648-2022<br />

(814) 693-3112<br />

Bradford County<br />

Human Services<br />

220 Ma<strong>in</strong> Street, Unit One<br />

Towanda, Pennsylvania 18848<br />

(570) 265-1761<br />

Bucks County<br />

Opportunity Council<br />

Adm<strong>in</strong>istration Build<strong>in</strong>g, 100 Doyle Street<br />

Doylestown, PA 18901<br />

(215) 345-8175<br />

<strong>The</strong> Welfare Department runs the ESA program. This can provide f<strong>in</strong>ancial help to stop<br />

an eviction or homelessness as well as other support, <strong>in</strong>clud<strong>in</strong>g loans and more for<br />

rehous<strong>in</strong>g services.<br />

Page 119 <strong>of</strong> 289


Butler County<br />

Community Action Program<br />

Butler, PA 16003-1208<br />

(724) 284-5125<br />

Cambria County<br />

Human Services Department<br />

Location is Central Park Complex, 110 Frankl<strong>in</strong> Street, Suite 400<br />

Johnstown, PA 15901-1831<br />

Call the center at (814) 534-2658<br />

Cameron County<br />

Northern Tier Community Action Corp.<br />

P.O. Box 389<br />

Emporium, PA 15834<br />

(814) 486-1161<br />

Carbon County<br />

County Action Committee for Human Services<br />

267 South 2nd Street<br />

Leighton, Pennsylvania 18235<br />

(610) 377-6400<br />

Centre County<br />

Office <strong>of</strong> Adult Services<br />

Willowbank Office Build<strong>in</strong>g 420 Holmes Street<br />

Bellefonte, PA 16823<br />

(814) 355-6768<br />

Chester County<br />

Departments <strong>of</strong> Community Development<br />

Government Services Center, Suite 365, 601 Westtown Road, P.O. Box 2747<br />

West Chester, PA 19382-4541<br />

(610) 344-6900<br />

Clarion County<br />

Human Services Build<strong>in</strong>g<br />

214 South 7th Avenue, Suite B<br />

Clarion, PA 16214<br />

Ma<strong>in</strong> number - (814) 226-9280<br />

Clearfield County<br />

Central PA Community Action, Inc.<br />

P.O. Box 792, 207 East Cherry Street<br />

Clearfield, PA 16830<br />

(814) 765-1551 or (800) 822-2610<br />

Page 120 <strong>of</strong> 289


Cl<strong>in</strong>ton County<br />

Plann<strong>in</strong>g Commission,<br />

232 East Ma<strong>in</strong> Street<br />

Lock Haven, Pennsylvania 17745<br />

(570) 893-4081<br />

Columbia County<br />

Human Services Department, Courthouse Columbia County<br />

P.O. Box 380,<br />

Bloomsburg, PA 17015<br />

(570) 389-5700<br />

Crawford County<br />

Human Services<br />

18282 Technology Drive, Suite 101<br />

Meadville, PA 16335<br />

(814) 373-2613<br />

Cumberland County<br />

Ag<strong>in</strong>g and Community Services<br />

401 E. Louther St., Suite 204<br />

Carlisle, PA 17013<br />

Number for <strong>in</strong>take is (717) 243-4691<br />

Dauph<strong>in</strong> County<br />

Mental Health & Mental Retardation<br />

100 Chestnut Street<br />

Harrisburg, PA 17101<br />

Tel: (717) 780-7050<br />

Erie County<br />

Department <strong>of</strong> Human Services, Office <strong>of</strong> Mental Health & Mental Retardation<br />

154 West N<strong>in</strong>th Street<br />

Erie, PA 16501<br />

(814) 451-6800<br />

Fayette County<br />

Office <strong>of</strong> Human & Community Services, FACT Transit Center<br />

825 Airport Road<br />

Lemont Furnace, PA 15456<br />

(724) 628-7433<br />

Forest County<br />

Courthouse, 526 Elm Street, Box 3<br />

Page 121 <strong>of</strong> 289


Tionesta, Pennsylvania 16353<br />

(814) 755-3537<br />

Frankl<strong>in</strong> County<br />

Human Services<br />

425 Frankl<strong>in</strong> Farm Lane<br />

Chambersburg, Pennsylvania 17202<br />

Phone - (717) 263-5060<br />

Fulton County<br />

Services for Children<br />

219 North 2nd Street<br />

McConnellsburg, PA 17233<br />

(717) 485-3553<br />

Greene County<br />

Department <strong>of</strong> Human Services<br />

19 S. Wash<strong>in</strong>gton Street, Ft. Jackson Bldg. 3rd Floor<br />

Waynesburg, PA 15370<br />

(724) 852-5276<br />

Hunt<strong>in</strong>gdon County<br />

Center for Community Action<br />

207 Fifth Street<br />

Hunt<strong>in</strong>gdon, PA 16652<br />

(814) 643-4202 or 1 (888) 644-4202<br />

Indiana County<br />

Department <strong>of</strong> Human Services<br />

300 Indian Spr<strong>in</strong>gs Road, Suite 203, P.O. Box 187<br />

Indiana, PA 15701<br />

For <strong>in</strong>formation on rental or grant programs, dial (724) 463-8200<br />

Jefferson County<br />

Community Action, Inc.<br />

105 Grace Way, Millcreek Center<br />

Punxsutawney, PA 15767-1209<br />

(814) 938-3302<br />

Juniata County<br />

Miffl<strong>in</strong>/Juniata Human Services Department<br />

20 North Wayne Street<br />

Lewistown, PA 17044<br />

(717) 248-6733<br />

Page 122 <strong>of</strong> 289


Lackawanna County<br />

Department <strong>of</strong> Human Services<br />

200 Adams Avenue, 6th Flr.<br />

Scranton, PA 18503<br />

(570) 963-6790<br />

Other services are also available.<br />

Lancaster County<br />

Community Action Program<br />

601 South Queen Street Box 599<br />

Lancaster, PA, 17608<br />

(717) 299-7301<br />

Non-pr<strong>of</strong>its and the Department <strong>of</strong> Welfare coord<strong>in</strong>ate eviction prevention and<br />

rehous<strong>in</strong>g programs. While fund<strong>in</strong>g is limited, help is arranged for families liv<strong>in</strong>g <strong>in</strong><br />

poverty, senior citizens and others.<br />

Lawrence County<br />

Community Action Partnership<br />

241 West Grant Street, P.O. Box 189<br />

New Castle, Pennsylvania 16103<br />

Ma<strong>in</strong> number - (724) 658-7258<br />

Lebanon County<br />

Human Services<br />

503 Oak Street<br />

Lebanon, PA 17042<br />

(717) 273-9328<br />

Lehigh County<br />

Ag<strong>in</strong>g & Adult Services<br />

17 S. 7th St.<br />

Allentown PA 18101<br />

Dial 610-782-3179<br />

Homeless assistance from other non-pr<strong>of</strong>its <strong>in</strong> Lehigh County may be arranged too.<br />

Whether it is a free hotel voucher for the homeless, or grants to stop an eviction, various<br />

forms <strong>of</strong> assistance are provided by Allentown based agencies.<br />

Luzerne County<br />

Luzerne County Office <strong>of</strong> Human Services<br />

111 North Pennsylvania Boulevard<br />

Wilkes Barre, PA 18701<br />

(570) 826-8800<br />

Lycom<strong>in</strong>g County<br />

United Way<br />

Page 123 <strong>of</strong> 289


1225 Clayton Avenue<br />

Williamsport, PA 17701<br />

(570) 323-9448<br />

McKean County<br />

YWCA<br />

24 West Corydon Street<br />

Bradford, Pennsylvania 16701<br />

Dial (814) 368-4235 for details on the HAP - Homeless Assistance Program.<br />

Mercer County<br />

Shenango Valley Urban League<br />

601 Indiana Avenue<br />

Farrell, PA 16121<br />

(724) 981-5310<br />

Miffl<strong>in</strong> County<br />

Miffl<strong>in</strong>/Juniata Human Services Department<br />

20 North Wayne Street, Courthouse<br />

Lewistown, PA 17044<br />

(717) 242-5452<br />

Monroe County Adm<strong>in</strong>istrative Center<br />

One Quaker Plaza, Room 204<br />

Stroudsburg, PA 18360-2164<br />

(570) 517-3129<br />

Montgomery County<br />

Community Based Services, Office <strong>of</strong> Ag<strong>in</strong>g & Adult Services, Montgomery County<br />

Human Services Center<br />

Location 1430 Dekalb Street, P.O. Box 311<br />

Norristown, Pennsylvania 19404-0311<br />

Dial (610) 278-3601 for <strong>in</strong>formation on homeless prevention.<br />

Montour County<br />

Director <strong>of</strong> Human Services, Human Service Build<strong>in</strong>g<br />

112 Woodb<strong>in</strong>e Lane, Suite 3<br />

Danville, PA 17821<br />

(570) 271-3028<br />

Northhampton County<br />

Department <strong>of</strong> Human Services, Northampton County Government Center<br />

669 Wash<strong>in</strong>gton Street<br />

Easton, PA 18042-7491<br />

(610) 559-3010<br />

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Northumberland County Adult Services<br />

322 North Second Street, Build<strong>in</strong>g B-Second Floor<br />

Sunbury, PA 17801<br />

(570) 495-2204<br />

Perry County<br />

Human Service Department<br />

P.O. Box 436<br />

New Bloomfield, PA 17068<br />

(717) 582-8703<br />

Philadelphia County and City<br />

Office <strong>of</strong> Supportive Hous<strong>in</strong>g<br />

MSB-10th Floor, 1401 JFK Blvd.<br />

Philadelphia, Pennsylvania 19107<br />

(215) 686-7105<br />

Tenants that are <strong>in</strong> a crisis as well as the homeless can apply for help from local<br />

agencies. <strong>The</strong>re are a number <strong>of</strong> non-pr<strong>of</strong>its that may provide rental deposits, legal aid,<br />

or other forms <strong>of</strong> homeless prevention listed above and below.<br />

Pike County<br />

Human Services at the Adm<strong>in</strong>istration Build<strong>in</strong>g<br />

506 Broad Street<br />

Milford, PA 18337<br />

Telephone: (570) 296-3494<br />

Potter County<br />

Human Services<br />

P.O. Box 241, North Street<br />

Roulette, PA 16746<br />

Call - (814) 544-7315<br />

Schuylkill County<br />

Block Grant Programs<br />

Address: 420 North Centre Street, Room 6<br />

Pottsville, PA 17901<br />

Dial (570) 628-1190<br />

Somerset County<br />

Tableland Services, Inc.<br />

535 East Ma<strong>in</strong> Street<br />

Somerset, Pennsylvania 15501<br />

Telephone - (814) 445-9628<br />

Page 125 <strong>of</strong> 289


Sullivan County<br />

<strong>The</strong> Trehab Center<br />

10 Public Avenue<br />

P.O. Box 366<br />

Montrose, PA 18801<br />

(570) 278-5227<br />

Susquehanna County<br />

<strong>The</strong> Trehab Center<br />

10 Public Avenue, P.O. Box 366<br />

Montrose, PA 18801<br />

(570) 278-5227<br />

Tioga County<br />

Human Services<br />

Location is 1873 Shumway Hill Road<br />

P.O. Box 766<br />

Wellsboro, PA 16901<br />

(570) 724-5766<br />

Union County<br />

Union-Snyder Community Action Agency<br />

713 Bridge Street, Suite 10<br />

Sel<strong>in</strong>sgrove, PA 17870<br />

(570) 374-0181<br />

Venango County<br />

Office <strong>of</strong> <strong>Economic</strong> Opportunity<br />

1 Dale Avenue, P.O. Box 1130<br />

Frankl<strong>in</strong>, PA 16323<br />

(814) 432-9767<br />

Warren County<br />

<strong>Economic</strong> Opportunity Council<br />

1209 Pennsylvania West, P.O. Box 16365<br />

Warren, Pennsylvania 16365<br />

(814) 726-2400<br />

Wash<strong>in</strong>gton County<br />

Homeless Services<br />

100 West Beau Street, Suite 703<br />

Wash<strong>in</strong>gton, PA 15301<br />

Ma<strong>in</strong> number is (724) 228-5935<br />

Wayne County<br />

<strong>The</strong> Trehab Center, Susquehanna / Wayne Counties<br />

Page 126 <strong>of</strong> 289


10 Public Avenue, P.O. Box 366<br />

Montrose, PA 18801<br />

For <strong>in</strong>formation, dial (570) 278-3338<br />

Westmoreland County<br />

Department <strong>of</strong> Human Services<br />

Location is 2 North Ma<strong>in</strong> Street, Room 303<br />

Greensburg, PA 15601<br />

Ma<strong>in</strong> phone number is (724) 830-3305<br />

Wyom<strong>in</strong>g County<br />

Commission on <strong>Economic</strong> Opportunity, Wyom<strong>in</strong>g County Division<br />

P. O. Box 74<br />

Tunkhannock, Pennsylvania 18657<br />

(570) 836-4090<br />

York County<br />

Department <strong>of</strong> Human Services<br />

100 West Market Street, Suite 401<br />

York, PA 17401<br />

Ma<strong>in</strong> phone - (717) 771-9347<br />

<strong>The</strong> homeless can apply for rental or utility deposits, and families with a vacate notice<br />

may be provided help as well. Various support services are arranged.<br />

________<br />

Nationwide<br />

National Coalition for the Homeless<br />

AZ » DIRECTORY<br />

<strong>The</strong>re are lots <strong>of</strong> great organizations work<strong>in</strong>g to help prevent and end homelessness<br />

and hunger across the country. Search NCH’s Directory <strong>of</strong> Member and Advocacy<br />

programs, or f<strong>in</strong>d further resources below.<br />

National Directories and Resources:<br />

Homeless Shelter Directory | Shelter List<strong>in</strong>gs<br />

Health Care providers | Shelters allow<strong>in</strong>g pets | Women’s Shelters | Homeless<br />

Accommodation Directory | Transitional Hous<strong>in</strong>g | Food Pantries | Sleep Study and<br />

Accommodation Directory<br />

Page 127 <strong>of</strong> 289


HUD Resources | HUD Local Offices | Homeless Cont<strong>in</strong>uum <strong>of</strong> Care | SAMHSA<br />

<strong>Homelessness</strong> and Hous<strong>in</strong>g Resources | Federal Affordable Hous<strong>in</strong>g Assistance<br />

Statewide Directories:<br />

Connecticut | Louisiana | New Hampshire | Western Massachusetts | Wash<strong>in</strong>gton<br />

City Directories:<br />

Los Angeles, CA | New Orleans | San Francisco, CA | Santa Cruz, CA | Seattle | Tampa<br />

Bay, FL | Wash<strong>in</strong>gton, DC<br />

________<br />

Assist<strong>in</strong>g Homeless People – Work<strong>in</strong>g to End <strong>Homelessness</strong><br />

Volunteers <strong>of</strong> America<br />

<br />

<br />

<br />

Over 670,000 Americans are homeless;<br />

48 million people go hungry every night;<br />

46.2 million Americans live <strong>in</strong> poverty.<br />

Volunteers <strong>of</strong> America works to prevent and end homelessness through a range <strong>of</strong><br />

support services <strong>in</strong>clud<strong>in</strong>g eviction prevention, emergency services, transitional hous<strong>in</strong>g<br />

and permanent affordable hous<strong>in</strong>g. Once we engage homeless <strong>in</strong>dividuals, <strong>in</strong>clud<strong>in</strong>g<br />

youth and families with children, we stay with them for as long as it takes to return them<br />

to self-sufficiency.<br />

How We Help End <strong>Homelessness</strong><br />

We reach out to homeless <strong>in</strong>dividuals through street outreach and mobile outreach<br />

services and once we engage with homeless <strong>in</strong>dividuals, youth and families with<br />

children, we provide assistance that ranges from pay<strong>in</strong>g a first month’s rent to <strong>of</strong>fer<strong>in</strong>g<br />

permanent supportive hous<strong>in</strong>g so that people with disabilities can become stable and<br />

productive members <strong>of</strong> their communities. In 2013, we helped over 83,000 homeless<br />

<strong>in</strong>dividuals.<br />

We have found that, without supportive services, hous<strong>in</strong>g is <strong>of</strong>ten not enough to end<br />

homelessness. From help<strong>in</strong>g homeless youth, to provid<strong>in</strong>g assistance <strong>in</strong> obta<strong>in</strong><strong>in</strong>g<br />

disability benefits, to provid<strong>in</strong>g transportation, to <strong>of</strong>fer<strong>in</strong>g <strong>in</strong>tensive job tra<strong>in</strong><strong>in</strong>g<br />

assistance to homeless veterans, we operate a number <strong>of</strong> <strong>in</strong>novative supportive<br />

services programs to support our efforts <strong>of</strong> end<strong>in</strong>g homelessness <strong>in</strong> America.<br />

EMERGENCY SHELTER<br />

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While permanent hous<strong>in</strong>g, <strong>of</strong>ten coupled with supportive services, is the best way to<br />

end homelessness, many <strong>in</strong>dividuals and families need short-term stabilization before<br />

they can f<strong>in</strong>d hous<strong>in</strong>g that will meet their long term needs. That’s why Volunteers <strong>of</strong><br />

America, for over 100 years, has provided emergency assistance to homeless persons<br />

<strong>in</strong> the form <strong>of</strong> homeless shelters.<br />

DROP-IN CENTERS<br />

S<strong>in</strong>ce homeless persons can be reluctant to leave the streets and accept emergency<br />

shelter or transitional hous<strong>in</strong>g, we operate drop-<strong>in</strong> centers — places where homeless<br />

youth or adults can get <strong>of</strong>f the streets and f<strong>in</strong>d a temporary safe haven. And <strong>of</strong>ten, when<br />

homeless persons beg<strong>in</strong> to trust drop-<strong>in</strong> center staff, they agree to leave the streets and<br />

enter transitional or permanent hous<strong>in</strong>g.<br />

PERMANENT SUPPORTIVE HO<strong>US</strong>ING<br />

For a significant number <strong>of</strong> homeless Americans with mental or physical impairments,<br />

<strong>of</strong>ten coupled with drug and/or alcohol use issues, long-term homelessness can only be<br />

ended by provid<strong>in</strong>g permanent hous<strong>in</strong>g coupled with <strong>in</strong>tensive supportive services.<br />

TRANSITIONAL HO<strong>US</strong>ING<br />

Our transitional hous<strong>in</strong>g programs are operated with one goal <strong>in</strong> m<strong>in</strong>d — to help<br />

<strong>in</strong>dividuals and families obta<strong>in</strong> permanent hous<strong>in</strong>g as quickly as possible. Our<br />

programs serve diverse populations — from women and children who are victims <strong>of</strong><br />

domestic violence to homeless veterans who have spent years liv<strong>in</strong>g on the streets.<br />

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VII. Homeless Shelters<br />

Homeless Shelters are a type <strong>of</strong> homeless service agency which provide<br />

temporary residence for homeless <strong>in</strong>dividuals and families. Shelters exist to provide<br />

residents with safety and protection from exposure to the weather while simultaneously<br />

reduc<strong>in</strong>g the environmental impact on the community. <strong>The</strong>y are similar to, but<br />

dist<strong>in</strong>guishable from, various types <strong>of</strong> emergency shelters, which are typically operated<br />

for specific circumstances and populations - flee<strong>in</strong>g natural disasters or abusive social<br />

circumstances. Extreme weather conditions create problems similar to disaster<br />

management scenarios, and are handled with warm<strong>in</strong>g centers, which typically operate<br />

for short durations dur<strong>in</strong>g adverse weather.<br />

Hardships <strong>of</strong> <strong>The</strong> Homeless Population<br />

Hundreds <strong>of</strong> homeless <strong>in</strong>dividuals die each year from diseases, untreated medical<br />

conditions, lack <strong>of</strong> nutrition, starvation, and freez<strong>in</strong>g to death. In a mild-w<strong>in</strong>tered San<br />

Francisco <strong>in</strong> 1998, the death rate for homeless people was 58% larger than that <strong>of</strong> the<br />

general population. In New Orleans, approximately 10,000 homeless were unaccounted<br />

for after Hurricane Katr<strong>in</strong>a <strong>in</strong> 2005.<br />

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Residents <strong>of</strong> homeless shelters may also be exposed to bed bugs which have been<br />

grow<strong>in</strong>g more prevalent <strong>in</strong> countries such as the United States, Canada and <strong>in</strong><br />

Europe. Some residents <strong>of</strong> shelters have reported sleep<strong>in</strong>g <strong>in</strong> roach-<strong>in</strong>fested spaces at<br />

various shelters.<br />

In Wash<strong>in</strong>gton, D.C., statistics <strong>in</strong>dicate that 63% <strong>of</strong> homeless people suffer from a lack<br />

<strong>of</strong> access to regular bath<strong>in</strong>g. Another 58% with<strong>in</strong> the same city are unable to obta<strong>in</strong><br />

sufficient levels <strong>of</strong> sleep. Areas such as showers and bathrooms <strong>in</strong> shelters <strong>of</strong>ten have<br />

restricted access with limited hours.<br />

Homeless <strong>in</strong>dividuals also have great trouble f<strong>in</strong>d<strong>in</strong>g storage locations for their<br />

belong<strong>in</strong>gs.<br />

Homeless <strong>in</strong>dividuals <strong>in</strong> the United States are subject to be<strong>in</strong>g arrested and held <strong>in</strong> jail<br />

for "quality <strong>of</strong> life" violations or for public <strong>in</strong>toxication. In Hawaii, homeless people are<br />

banned from sitt<strong>in</strong>g or ly<strong>in</strong>g on the streets.<br />

LGBT People and Homeless Shelters<br />

<strong>The</strong> LGBT homeless are at <strong>in</strong>creased risk <strong>of</strong> violence compared to other<br />

groups. Transgender people are also at danger <strong>of</strong> be<strong>in</strong>g placed <strong>in</strong>to the <strong>in</strong>correct<br />

shelters. In some cases, transgender women can be turned away from women's<br />

shelters. This can place their safety at risk.<br />

Men and Homeless Shelters<br />

In a national survey conducted <strong>in</strong> the United States the f<strong>in</strong>d<strong>in</strong>gs showed that <strong>of</strong> the<br />

surveyed homeless, two-thirds are men and most likely to be s<strong>in</strong>gle adults between the<br />

ages <strong>of</strong> 25 and 54.<br />

One out <strong>of</strong> every four men experiences domestic violence. In addition, young men who<br />

have been abused as children are more likely to become homeless and are at risk <strong>of</strong><br />

becom<strong>in</strong>g chronically homeless if they are not liv<strong>in</strong>g <strong>in</strong> a permanent situation by age 24.<br />

Women and Homeless Shelters<br />

Women are at great risk <strong>of</strong> both homelessness and poverty because they are most<br />

likely to bear child-rear<strong>in</strong>g responsibilities and vulnerable to become victims <strong>of</strong> family<br />

members or "<strong>in</strong>timate partners." In a survey conducted <strong>in</strong> the 2013 showed that <strong>in</strong> an<br />

emergency shelter <strong>in</strong> Texas, women were the majority population.<br />

Homeless women, both those with children and without, experience higher rates <strong>of</strong><br />

physical illness than men. <strong>The</strong>y are also more likely to be hyper-vigilant and have high<br />

levels <strong>of</strong> stress. Women seek<strong>in</strong>g refuge from domestic violence are not always able to<br />

f<strong>in</strong>d rooms <strong>in</strong> shelters. Some women have been turned away from homeless shelters<br />

because shelter staff believe that turn<strong>in</strong>g women away will stop people from hav<strong>in</strong>g sex<br />

<strong>in</strong>side the shelter.<br />

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Homeless women who are <strong>of</strong> childbear<strong>in</strong>g age also face unique hygiene<br />

issues because <strong>of</strong> menstruation. Homeless shelters have noted that<br />

both tampons and sanitary pads "top the list <strong>of</strong> needs at shelters" because <strong>of</strong> their high<br />

cost and because they are not donated <strong>of</strong>ten.<br />

Hous<strong>in</strong>g First Practice<br />

Alternative Models and Management Philosophies<br />

<strong>The</strong> homeless shelters across the country act merely as emergency shelter systems<br />

that can only hold a fraction <strong>of</strong> the rapidly <strong>in</strong>creas<strong>in</strong>g homeless population. <strong>The</strong> Hous<strong>in</strong>g<br />

First practice provides an alternative to the current network <strong>of</strong> homeless shelters. <strong>The</strong><br />

program targets the large problem with<strong>in</strong> the United States which is a lack <strong>of</strong> affordable<br />

hous<strong>in</strong>g. This methodology attempts to place homeless families back <strong>in</strong>to <strong>in</strong>dependent<br />

liv<strong>in</strong>g situations as quickly as possible. <strong>The</strong> Hous<strong>in</strong>g First practice has achieved<br />

success from the fact that homeless families are more responsive to social services<br />

support once when they are <strong>in</strong> their own hous<strong>in</strong>g. It provides crisis <strong>in</strong>tervention,<br />

affordable rental hous<strong>in</strong>g, and gives each family a grace period <strong>of</strong> six months to a year<br />

<strong>of</strong> social service to allow the family to get back on their feet. <strong>The</strong> effectiveness <strong>of</strong> this<br />

concept is that it assists homeless families <strong>in</strong> identify<strong>in</strong>g their needs and recogniz<strong>in</strong>g the<br />

choices they must make. From this po<strong>in</strong>t families can create better options for them and<br />

plan strategies for liv<strong>in</strong>g on their own.<br />

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Empowerment Model<br />

Some shelters propose "empowerment models", where <strong>in</strong>stead <strong>of</strong> serv<strong>in</strong>g "clients", they<br />

empower "participants". <strong>The</strong> goal is to become agents <strong>in</strong> their own futures and<br />

dest<strong>in</strong>ies.<br />

Such models tend to focus on assist<strong>in</strong>g participants to access their rights and to fulfill<br />

their responsibilities as citizens. Sometimes this <strong>in</strong>cludes contribut<strong>in</strong>g f<strong>in</strong>ancially towards<br />

the provision <strong>of</strong> the shelters they are resid<strong>in</strong>g <strong>in</strong>. In Australia, legislation requires those<br />

resid<strong>in</strong>g <strong>in</strong> Government funded shelters to contribute a figure similar to 25% <strong>of</strong> their own<br />

<strong>in</strong>come, <strong>in</strong> return for support and accommodation. Consequently, many shelters <strong>in</strong><br />

Australia rely on participant contributions for as much as 20% <strong>of</strong> their budgets.<br />

Religious Shelters<br />

Another model is Dorothy's Place <strong>in</strong> Sal<strong>in</strong>as, CA. It is actually a day center which<br />

coord<strong>in</strong>ates with multiple church and synagogue congregations to l<strong>in</strong>k up to night time<br />

shelter opportunities. Dorothy's Place is closely affiliated with faith based community<br />

service groups, <strong>in</strong>clud<strong>in</strong>g the Franciscan Worker and Companions <strong>of</strong> the Way Interfaith<br />

Dharma community. <strong>The</strong>y propose that they are <strong>in</strong> search <strong>of</strong> "possibilitarians", a theme<br />

resonat<strong>in</strong>g with the prom<strong>in</strong>ent m<strong>in</strong>istry <strong>of</strong> "possibility th<strong>in</strong>k<strong>in</strong>g" promoted by Reformed<br />

Church <strong>of</strong> Americam<strong>in</strong>ister Robert Schuller.<br />

<strong>The</strong> Rescue Mission <strong>in</strong> Milwaukee, M<strong>in</strong>nesota is an extreme example <strong>of</strong> help<strong>in</strong>g the<br />

homeless through religion. In order to receive a free meal at the Rescue Mission,<br />

residents must first attend a Christian prayer service.<br />

<strong>The</strong> Salvation Army is a social support service organization that also functions as a<br />

religious group. <strong>The</strong> programs <strong>of</strong> the Salvation Army are designed to assist women,<br />

children, elderly men, families, and those who are battl<strong>in</strong>g drug addictions.<br />

Vehicles as Shelter<br />

Around the late 2000s, <strong>in</strong> Santa Barbara and other areas <strong>in</strong> California, groups <strong>of</strong><br />

recently homeless began to camp out <strong>in</strong> their cars <strong>in</strong> park<strong>in</strong>g lots with the coord<strong>in</strong>ated<br />

support <strong>of</strong> a local non-pr<strong>of</strong>it group. <strong>The</strong>se <strong>in</strong>dividuals and families were <strong>of</strong>ten unable to<br />

afford rent or mortgage, but still had jobs, cars, <strong>in</strong>surance and other types <strong>of</strong> support<br />

structures. In Santa Barbara, an estimated 55 <strong>in</strong>dividuals camped out every night <strong>in</strong><br />

various private and public lots, some reserved for women only. As more people began<br />

to camp <strong>in</strong> their vehicles, California cities began to pass laws aga<strong>in</strong>st sleep<strong>in</strong>g <strong>in</strong><br />

vehicles, like the 2013 ord<strong>in</strong>ance passed <strong>in</strong> Palo Alto. However, many <strong>of</strong> these laws <strong>in</strong><br />

different municipalities were later struck down <strong>in</strong> higher courts as unconstitutional, like<br />

the Los Angeles ban which was judged by the 9th Circuit Court <strong>of</strong> Appeals <strong>in</strong><br />

2014. Some cities chose to repeal their own bans on sleep<strong>in</strong>g <strong>in</strong> vehicles. In Los<br />

Angeles <strong>in</strong> 2015, approximately 9,500 homeless have turned their cars <strong>in</strong>to<br />

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homes. In Hawaii, a Honolulu-based company is retr<strong>of</strong>itt<strong>in</strong>g five retired city buses <strong>in</strong>to<br />

mobile shelters which provide a place to sleep and get a shower.<br />

Community Attitudes<br />

Community attitude towards homeless shelters varies widely, but one study found that<br />

older people, men, homeowners and all people mak<strong>in</strong>g larger <strong>in</strong>comes were <strong>of</strong>ten<br />

adverse to the concept <strong>of</strong> homeless shelters <strong>in</strong> general. Calgary neighborhoods<br />

recognize the need for shelters, but many don't want to situate a shelter near their own<br />

homes. A similar response came from residents <strong>in</strong> Oahu. In communities such as<br />

Portland, Oregon, where the weather can be quite harsh, there is an extensive network<br />

<strong>of</strong> supporters. <strong>The</strong>se operate an <strong>in</strong>formal restaurant, the "Sisters <strong>of</strong> the Road" cafe,<br />

which supports both homeless shelter residents and also some unsheltered persons. At<br />

the opposite end <strong>of</strong> the spectrum, jurisdictions such as Santa Barbara, California,<br />

feature ongo<strong>in</strong>g disputes <strong>in</strong> an <strong>of</strong>ten highly adversarial mode. Disputes have even<br />

reached such schemes as re-arrang<strong>in</strong>g benches on city sidewalks to discourage<br />

panhandlers. In another 2011 <strong>in</strong>cident, an eight unit supportive hous<strong>in</strong>g project which<br />

had been approved was called back onto city council agenda the follow<strong>in</strong>g week <strong>in</strong><br />

order to allow approximately 35 public comments pro and con, despite the fact that the<br />

measure had just been approved.<br />

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<strong>The</strong>re have at times been concerns raised about the transmission <strong>of</strong> diseases <strong>in</strong> the<br />

homeless population housed <strong>in</strong> shelters, although public health pr<strong>of</strong>essionals contend<br />

that such concerns are <strong>in</strong>flated. In addition, a study published <strong>in</strong> 2014 conducted<br />

<strong>in</strong> Marseille, France found that respiratory illnesses <strong>in</strong> homeless shelters were not<br />

significantly different from the general population. In addition, dur<strong>in</strong>g the<br />

peak <strong>in</strong>fluenza months, the shelter occupants did not test positive for the flu virus and<br />

the researchers hypothesize that be<strong>in</strong>g isolated from others may have been the reason<br />

they were virus-free. However, outbreaks <strong>of</strong> tuberculosis <strong>in</strong> have been reported<br />

occurr<strong>in</strong>g <strong>in</strong> shelters with<strong>in</strong> three large Ohio cities <strong>in</strong> the 1990s.<br />

A question has been raised as just how much money donated to the charities that run<br />

the shelters actually gets to the homeless people and the required services. In many<br />

cases, there is a large overhead <strong>in</strong> adm<strong>in</strong>istrative costs, which compromise the money<br />

for their homeless clients.<br />

Internal Problems In Homeless Shelters<br />

<strong>The</strong>re is sometimes corruption and theft by the employees <strong>of</strong> a shelter as evidenced by<br />

a 2011 <strong>in</strong>vestigative report by FOX 25 TV <strong>in</strong> Boston where<strong>in</strong> a number <strong>of</strong> Boston public<br />

shelter employees were found steal<strong>in</strong>g large amounts <strong>of</strong> food over a period <strong>of</strong> time from<br />

the shelter's kitchen for their private use and cater<strong>in</strong>g. Residents have reported that<br />

personal items, such as underwear, was stolen by other residents while they were<br />

occupied.<br />

Shelters can become dangerously overcrowded when too many occupants are allowed<br />

entry to the shelter.<br />

Shelters sometimes are unable to meet state standards for occupancy, such as test<strong>in</strong>g<br />

fire spr<strong>in</strong>klers or ensur<strong>in</strong>g that exits are clearly marked. In New York city, 2015, the state<br />

withheld fund<strong>in</strong>g from many shelters which did not meet standards or which had poor<br />

conditions.<br />

Shelter employees are sometimes at risk from violence perpetrated by the residents<br />

they are serv<strong>in</strong>g. In order to address problems faced by employees who are try<strong>in</strong>g to<br />

help the homeless <strong>in</strong> New York, the Department <strong>of</strong> Homeland<br />

Security <strong>in</strong>creased security at some shelters and conducted security assessments <strong>of</strong><br />

shelters <strong>in</strong> 2015. While many employees <strong>of</strong> shelters know that there is a risk when<br />

work<strong>in</strong>g <strong>in</strong> high-crime neighborhoods or with <strong>in</strong>dividuals who are mentally ill, they<br />

cont<strong>in</strong>ue to work at homeless shelters because they feel that they are perform<strong>in</strong>g a<br />

public service ak<strong>in</strong> to the police or firefighters.<br />

External Problems <strong>of</strong> Homeless Shelters<br />

Several problems emerge when a homeless shelter is present. Homeless shelters have<br />

been argued by some to have a negative effect on bus<strong>in</strong>esses. Bus<strong>in</strong>esses for years<br />

have compla<strong>in</strong>ed that they frequently witness pedestrians be<strong>in</strong>g stopped outside their<br />

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stores by homeless people begg<strong>in</strong>g for money. Such <strong>in</strong>stances have led to the creation<br />

<strong>of</strong> local laws that prohibit "aggressive panhandl<strong>in</strong>g." Another problem is that it is <strong>of</strong>ten<br />

difficult to decide on where a homeless shelter should be built and how to zone the area<br />

where a shelter can be built. Neighborhoods, as well as schools, argue that homeless<br />

shelters br<strong>in</strong>g <strong>in</strong> bad elements to their surround<strong>in</strong>gs. <strong>The</strong>re are additionally far too many<br />

shelters that have become noth<strong>in</strong>g but hous<strong>in</strong>g facilities; they fail to provide job tra<strong>in</strong><strong>in</strong>g<br />

or education that would assist the homeless population with ga<strong>in</strong><strong>in</strong>g their own hous<strong>in</strong>g.<br />

Hous<strong>in</strong>g through homeless shelters <strong>of</strong>fers no last<strong>in</strong>g solutions, just temporary ones.<br />

Drugs and alcohol also tend to surround homeless shelters. Most shelters prohibit<br />

residential use <strong>of</strong> illegal drugs and alcohol, but enforcement is sporadic <strong>in</strong> many<br />

locations. Lastly, no classification system for shelters has been put <strong>in</strong>to effect. <strong>The</strong>re are<br />

no mechanisms or facilities to separate those who have mental illnesses from the rest <strong>of</strong><br />

the shelter population.<br />

United States<br />

In the United States, the "shelter movement" began to grow significantly dur<strong>in</strong>g the<br />

1970s when there was a high rate <strong>of</strong> unemployment, hous<strong>in</strong>g costs were ris<strong>in</strong>g and<br />

<strong>in</strong>dividuals with severe mental illnesses were be<strong>in</strong>g de<strong>in</strong>stitutionalized. In the 1980s,<br />

homelessness was becom<strong>in</strong>g a "national epidemic" <strong>in</strong> the United States and help<strong>in</strong>g<br />

pr<strong>of</strong>essionals created shelters as "temporary havens." Shelter occupation had more<br />

than doubled by the late 1980s and it doubled aga<strong>in</strong> by 2000. Statistics from 2011 show<br />

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that "on a given night <strong>in</strong> January 2010, 407,966 <strong>in</strong>dividuals were housed <strong>in</strong>side<br />

homeless shelters, transitional hous<strong>in</strong>g or on the streets. Alternatively, jails have been<br />

used for healthcare enrollment by citizens <strong>in</strong> certa<strong>in</strong> states.<br />

Homeless shelters need to provide a variety <strong>of</strong> services to diverse residents. Homeless<br />

shelters, like La Posada Providencia <strong>in</strong> San Benito, Texas, may also house asylum<br />

seekers, ma<strong>in</strong>ly from Mexico, Central America and South America. Shelters also<br />

provide outreach to residents who are unable to use a shelter or who choose not to use<br />

a shelter. Outreach may <strong>in</strong>clude provid<strong>in</strong>g cloth<strong>in</strong>g for cold weather or food. Very few<br />

shelters have case managers that locate resources locally, such as rides to a<br />

department <strong>of</strong> social services where healthcare can be acquired.<br />

Most shelters typically expect residents to exit <strong>in</strong> the morn<strong>in</strong>g and occupy themselves<br />

elsewhere dur<strong>in</strong>g the day, return<strong>in</strong>g for an even<strong>in</strong>g meal and to sleep. Dur<strong>in</strong>g times <strong>of</strong><br />

<strong>in</strong>clement weather, shelters may provide services outside <strong>of</strong> their normal<br />

hours. Curfews vary widely but tend to be at an earlier hour than adults typically might<br />

return to a home. <strong>The</strong>re are also daytime-only homeless shelters, where the homeless<br />

can go when they cannot stay <strong>in</strong>side at their night time sleep<strong>in</strong>g shelter dur<strong>in</strong>g the day.<br />

Such an early model <strong>of</strong> a daytime homeless shelter provid<strong>in</strong>g multi-faceted services<br />

is Sa<strong>in</strong>t Francis House <strong>in</strong> Boston, Massachusetts which was <strong>of</strong>ficially founded <strong>in</strong> 1984. It<br />

was based on the settlement house, clubhouse and community center support and<br />

social service models.<br />

In the United States, the Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development (HUD) has<br />

shown <strong>in</strong> recent studies that about 5 million Americans qualify to use homeless shelters.<br />

As poverty levels cont<strong>in</strong>ue to rise, it is estimated that the number <strong>of</strong> homeless shelters,<br />

<strong>in</strong> particular <strong>in</strong> the United States, will cont<strong>in</strong>ue to rise. Based on a survey <strong>of</strong> 24 U.S.<br />

cities the average stay <strong>in</strong> a homeless shelter was found to be on average about seven<br />

months out <strong>of</strong> the year.<br />

Statistics <strong>of</strong> Homeless Population With<strong>in</strong> <strong>The</strong> United States<br />

A study by the National Law Center on <strong>Homelessness</strong> and Poverty estimates that 2.3 to<br />

3.5 million Americans experience homelessness<br />

annually. Alaska, California, Nevada, Oregon, Colorado, and Hawaii are the states with<br />

the highest concentration <strong>of</strong> homeless people. Around 1.5 million children or one <strong>of</strong> out<br />

every 50 children <strong>in</strong> America are homeless. Many Americans suffer from the state <strong>of</strong><br />

“chronic homelessness,” which is where an <strong>in</strong>dividual has a disabl<strong>in</strong>g condition who has<br />

been cont<strong>in</strong>uously homeless for over a year or has been homeless on at least four<br />

different <strong>in</strong>stances with<strong>in</strong> four years. About 23% <strong>of</strong> the homeless population has been<br />

tagged as “chronic homeless.” Veterans also represent close to 40% <strong>of</strong> homeless men<br />

with<strong>in</strong> the United States. Racial demographics <strong>of</strong> the Homeless Population <strong>of</strong> the United<br />

States can be represented as:<br />

Whites: 39%<br />

African-Americans: 42%<br />

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Hispanics: 13%<br />

Native Americans: 4%<br />

Asians: 2%<br />

Approximately 40% <strong>of</strong> all homeless youth <strong>in</strong> the United States identify<br />

as LGBT (Lesbian, Gay, Bisexual, Transgender). In San Francisco, approximately 29%<br />

<strong>of</strong> all the homeless <strong>in</strong> that city are on the LGBT spectrum. <strong>The</strong> National Center for<br />

Transgender Equality reports that 1 <strong>in</strong> 5 transgender <strong>in</strong>dividuals has experienced be<strong>in</strong>g<br />

homeless at least once <strong>in</strong> their lives.<br />

Pet ownership among the homeless varies, but estimates <strong>in</strong>dicate that about 5 and 10<br />

percent <strong>of</strong> the homeless <strong>in</strong> the United States have a pet.<br />

<strong>Homelessness</strong> appears to be largely concentrated with<strong>in</strong> urban areas. Central cities<br />

hold 71% <strong>of</strong> the homeless population while the suburbs have 21% <strong>of</strong> the homeless<br />

population. Only 9% <strong>of</strong> the homeless class can be located with<strong>in</strong> rural areas.<br />

Operations and Role <strong>in</strong> U.S. Society<br />

Homeless shelters are usually operated by a non-pr<strong>of</strong>it agency or a municipal agency,<br />

or are associated with a church. <strong>The</strong>y almost always have Section 501(c)3 corporate<br />

organization with a Board <strong>of</strong> Directors pulled from various sectors <strong>of</strong> the community.<br />

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Often, such Boards <strong>in</strong>clude clergy, elected <strong>of</strong>ficials, and even shelter residents and<br />

people from the surround<strong>in</strong>g community.<br />

Shelters which are funded by the United States Department <strong>of</strong> Hous<strong>in</strong>g and Urban<br />

Development (HUD) require residents to have identification.<br />

Homeless shelters <strong>of</strong>ten provide other services to the community at large. <strong>The</strong> classic<br />

example is the soup kitchen for persons who are not stay<strong>in</strong>g at the shelter. Others<br />

<strong>in</strong>clude support groups, and/or substance abuse treatment. If they do not <strong>of</strong>fer any <strong>of</strong><br />

these services, they can usually refer their clients to agencies that do. Supportive<br />

hous<strong>in</strong>g <strong>in</strong>tegrates services <strong>in</strong> a more assertive fashion. <strong>The</strong> typical pathway through<br />

the <strong>in</strong>terlock<strong>in</strong>g system is that a person may start <strong>in</strong> a shelter and move<br />

through transitional hous<strong>in</strong>g <strong>in</strong>to supportive hous<strong>in</strong>g and f<strong>in</strong>ally <strong>in</strong>dependent hous<strong>in</strong>g.<br />

Centers <strong>in</strong> the United States are also <strong>of</strong>ten coord<strong>in</strong>ated with outside programs both for<br />

their mission-specific operations and for ancillary services. For communication <strong>of</strong> their<br />

availability, most coord<strong>in</strong>ate with the Federally mandated 2-1-1 or the 3-1-1 phone<br />

<strong>in</strong>formation system which allow needy persons to f<strong>in</strong>d out where shelters are<br />

located. For transportation to shelters, some <strong>of</strong>fer free transportation,[15] particularly <strong>in</strong><br />

cases <strong>of</strong> persons be<strong>in</strong>g released from jail. Some jails have specific staff assigned to<br />

placement <strong>of</strong> persons be<strong>in</strong>g released.<br />

List <strong>of</strong> National Organizations <strong>in</strong> the U.S Support<strong>in</strong>g Homeless Shelters<br />

Across the United States there are several national organizations that assist <strong>in</strong> the<br />

found<strong>in</strong>g and the upkeep <strong>of</strong> homeless shelters. <strong>The</strong> ma<strong>in</strong> national organizations are:<br />

<strong>The</strong> National Alliance to End <strong>Homelessness</strong><br />

<strong>The</strong> Salvation Army<br />

<strong>The</strong> National Coalition for the Homeless<br />

<strong>The</strong> Emergency Food and Shelter Program (United Way)<br />

<strong>The</strong> Department <strong>of</strong> Veterans Affairs<br />

Feed<strong>in</strong>g America<br />

Hous<strong>in</strong>g Assistance Council<br />

Help <strong>US</strong>A. [58]<br />

United States Libraries<br />

Homeless shelters <strong>of</strong>ten work with other organizations <strong>in</strong> order to support and help the<br />

homeless improve their situations, <strong>in</strong>clud<strong>in</strong>g libraries. <strong>The</strong>y <strong>of</strong>ten work with the coalition<br />

to grant a temporary library card for homeless coalition members who can use a shelter<br />

as a local address. This is <strong>in</strong>tend<strong>in</strong>g to give new patrons the opportunity to utilize the<br />

computer services, books, programs, and more that the library <strong>of</strong>fers.<br />

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Government Assistance Programs <strong>in</strong> the United States<br />

Homeless <strong>in</strong>dividuals with<strong>in</strong> the United States are assisted through various Federal<br />

programs. Examples <strong>in</strong>clude the Social Security Disability Insurance (SSD) and the<br />

Social Security Supplemental Income (SSI) programs. Such applicants may qualify<br />

through their medical records. <strong>The</strong> Social Security Disability Insurance service extends<br />

benefits to families if they have earned sufficient work “credits.” <strong>The</strong> Social Security<br />

Supplemental Income service <strong>of</strong>fers f<strong>in</strong>ancial assistance towards <strong>in</strong>dividuals <strong>in</strong> need<br />

who are disabled, bl<strong>in</strong>d or elderly.<br />

HUD estimates that it costs $60,000 each year to house a homeless family <strong>in</strong> a<br />

shelter. Because <strong>of</strong> this, HUD has various programs <strong>in</strong> place to help families, <strong>in</strong>clud<strong>in</strong>g<br />

rapid rehous<strong>in</strong>g and permanent hous<strong>in</strong>g vouchers. Hous<strong>in</strong>g vouchers from HUD are<br />

considered especially important for help<strong>in</strong>g to prevent families with children from<br />

becom<strong>in</strong>g homeless and also to help these families be able to leave the shelter system<br />

permanently.<br />

<strong>The</strong> Department <strong>of</strong> Veterans Affairs is solely aimed at help<strong>in</strong>g homeless veterans.<br />

Although this organization assists a specific concentration <strong>of</strong> <strong>in</strong>dividuals, it currently<br />

constitutes the largest network <strong>of</strong> homeless treatment with<strong>in</strong> the United States.<br />

Australia<br />

Other Countries<br />

In Australia, due to government fund<strong>in</strong>g requirements, most homelessness services fill<br />

the role <strong>of</strong> both daytime and night time shelters. Shelters develop empowerment based<br />

"wrap around" services <strong>in</strong> which residents are case managed and supported <strong>in</strong> their<br />

efforts to become self-reliant. An example <strong>of</strong> such a service provider <strong>in</strong> this area <strong>in</strong><br />

Australia is Najidah.<br />

Youth refuges <strong>in</strong> Australia provide both a residential sett<strong>in</strong>g for crisis accommodation as<br />

well as case management to assist young people to live <strong>in</strong>dependently. Youth refuges<br />

are a relatively new form <strong>of</strong> homeless shelters. In New South Wales the early refuges<br />

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<strong>in</strong>clude Caretakers Cottage, Young People's Refuge, Taldamunde Youth Services, all<br />

founded <strong>in</strong> the mid-1970s.<br />

Canada<br />

Canada has an estimated homeless population somewhere between 150,000 and<br />

300,000 people as reported <strong>in</strong> 2014. Canada has responded to an <strong>in</strong>crease <strong>in</strong><br />

homelessness by <strong>in</strong>creas<strong>in</strong>g the amount <strong>of</strong> shelter space available to <strong>in</strong>dividuals. A<br />

study done <strong>in</strong> Canada also found that <strong>in</strong>dividuals enter<strong>in</strong>g shelters and drop-<strong>in</strong><br />

centers experienced a loss <strong>of</strong> their own sense <strong>of</strong> personhood. <strong>The</strong>rapeutic Conversation<br />

therapy has been tested and found successful <strong>in</strong> Calgary with a small group <strong>of</strong><br />

homeless shelter residents <strong>in</strong> improv<strong>in</strong>g their mental health outcomes. Calgary has<br />

seen an <strong>in</strong>crease <strong>in</strong> the amount <strong>of</strong> homelessness, partly due to the "lack <strong>of</strong> affordable<br />

rental units."<br />

A nationwide volunteer group <strong>in</strong> Canada, the Angels <strong>in</strong> the Night, sponsored by Invis-<br />

Mortgage Intelligence, donates cold-weather clothes and other supplies to the<br />

homeless, visit<strong>in</strong>g shelters and <strong>in</strong>dividuals on the streets.<br />

In 2015, Clean the World began a Canadian Operations Center <strong>in</strong> Montreal order to<br />

supply soap for homeless shelters. Clean the World distributes and recycles hygiene<br />

supplies such as soap and shampoo.<br />

Ch<strong>in</strong>a<br />

In Ch<strong>in</strong>a, homeless estimates vary, s<strong>in</strong>ce the Social Welfare Department does not<br />

consider those liv<strong>in</strong>g <strong>in</strong> temporary shelters to be "homeless." <strong>The</strong>re may be<br />

approximately 1 to 1.5 million homeless children who have left their families because <strong>of</strong><br />

extreme poverty, family issues or abuse.<br />

In the city <strong>of</strong> Dali, there is an annual conference for "beggars." In 2014, a governmentsponsored<br />

shelter <strong>in</strong> Henan prov<strong>in</strong>ce which houses 20 homeless <strong>in</strong>dividuals was under<br />

scrut<strong>in</strong>y for ty<strong>in</strong>g children to trees and provid<strong>in</strong>g <strong>in</strong>adequate sleep<strong>in</strong>g areas.<br />

India<br />

India def<strong>in</strong>es homelessness as not be<strong>in</strong>g <strong>in</strong> residence <strong>of</strong> a "census house" which must<br />

be a structure with a ro<strong>of</strong>.<br />

In India, youth can become homeless because <strong>of</strong> child abandonment. Youth<br />

<strong>in</strong> Jammu and Kashmir who live <strong>in</strong> shelters reported high prevalence <strong>of</strong> emotional and<br />

physical abuse, and emotional and physical neglect while liv<strong>in</strong>g <strong>in</strong> homeless shelters.<br />

Homeless <strong>in</strong>dividuals and families <strong>in</strong> India face challenges access<strong>in</strong>g water and hygiene<br />

services. A 2011 Census <strong>of</strong> India found that safe dr<strong>in</strong>k<strong>in</strong>g water coverage <strong>in</strong> urban<br />

areas is at 91.9% while regular sanitation access is at 81.4%. <strong>The</strong>re is a significant lack<br />

<strong>of</strong> hous<strong>in</strong>g <strong>in</strong> major urban areas <strong>in</strong> India. People come from the rural part <strong>of</strong> India to look<br />

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for work and when there are no accommodations for hous<strong>in</strong>g build their own shelters,<br />

<strong>of</strong>ten known as "hutments."<br />

Statistics <strong>of</strong> Homeless Population With<strong>in</strong> India<br />

Accord<strong>in</strong>g to the 2011 Census, there were 1.77 million homeless people <strong>in</strong> India, or<br />

0.15% <strong>of</strong> the country's total population. In India, the cities with the greatest number <strong>of</strong><br />

homeless <strong>in</strong>dividuals and families are Greater Mumbai, Delhi, Kolkata, Chennai,<br />

and Bangalore.<br />

Japan<br />

<strong>The</strong> number <strong>of</strong> homeless<br />

<strong>in</strong>dividuals <strong>in</strong> Japan as<br />

recorded <strong>in</strong> 2003, was<br />

around 25,296. Numbers <strong>of</strong><br />

those without homes have<br />

been<br />

"<strong>in</strong>creas<strong>in</strong>g<br />

dramatically" s<strong>in</strong>ce the<br />

"bubble economy" collapsed<br />

<strong>in</strong> the 1990s. In Tokyo,<br />

around 2007, many<br />

homeless <strong>in</strong>dividuals were<br />

cleared out <strong>of</strong> their<br />

temporary residences <strong>in</strong> city<br />

parks. In 2011,<br />

the earthquake and tsunami left many <strong>in</strong>dividuals homeless and liv<strong>in</strong>g <strong>in</strong> shelters.<br />

United K<strong>in</strong>gdom<br />

"Sleep<strong>in</strong>g rough" or "rough sleep<strong>in</strong>g" is term<strong>in</strong>ology <strong>in</strong> the United K<strong>in</strong>gdom for sleep<strong>in</strong>g<br />

without shelter. In addition, "not all homeless people are entitled to hous<strong>in</strong>g." Shelters<br />

like 'Jimmy's', <strong>in</strong> Cambridge, provide access to those who would otherwise be "sleep<strong>in</strong>g<br />

rough", <strong>of</strong>fer<strong>in</strong>g temporary accommodation and support services <strong>in</strong> the basement <strong>of</strong><br />

a Baptist Church <strong>in</strong> the city center.<br />

________<br />

<strong>The</strong> Hous<strong>in</strong>g First Model<br />

Hous<strong>in</strong>g First is a relatively recent <strong>in</strong>novation <strong>in</strong> human service programs and social<br />

policy regard<strong>in</strong>g treatment <strong>of</strong> the homeless and is an alternative to a system <strong>of</strong><br />

emergency shelter/transitional hous<strong>in</strong>g progressions. Rather than mov<strong>in</strong>g homeless<br />

<strong>in</strong>dividuals through different "levels" <strong>of</strong> hous<strong>in</strong>g, whereby each level moves them closer<br />

to "<strong>in</strong>dependent hous<strong>in</strong>g" (for example: from the streets to a public shelter, and from a<br />

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public shelter to a transitional hous<strong>in</strong>g program, and from there to their own apartment<br />

<strong>in</strong> the community), Hous<strong>in</strong>g First moves the homeless <strong>in</strong>dividual or household<br />

immediately from the streets or homeless shelters <strong>in</strong>to their own accommodation. "<br />

Hous<strong>in</strong>g First approaches are based on the concept that a homeless <strong>in</strong>dividual or<br />

household's first and primary need is to obta<strong>in</strong> stable hous<strong>in</strong>g, and that other issues that<br />

may affect the household can and should be addressed once hous<strong>in</strong>g is obta<strong>in</strong>ed. In<br />

contrast, many other programs operate from a model <strong>of</strong> "hous<strong>in</strong>g read<strong>in</strong>ess" — that is,<br />

that an <strong>in</strong>dividual or household must address other issues that may have led to the<br />

episode <strong>of</strong> homelessness prior to enter<strong>in</strong>g hous<strong>in</strong>g.<br />

General Pr<strong>in</strong>ciples<br />

Hous<strong>in</strong>g First is an approach that <strong>of</strong>fers permanent, affordable hous<strong>in</strong>g as quickly as<br />

possible for <strong>in</strong>dividuals and families experienc<strong>in</strong>g homelessness, and then provides the<br />

supportive services and connections to the community-based supports people need to<br />

keep their hous<strong>in</strong>g and avoid return<strong>in</strong>g to homelessness. <strong>The</strong> pr<strong>in</strong>ciples beh<strong>in</strong>d this<br />

approach are:<br />

1. Move people <strong>in</strong>to hous<strong>in</strong>g directly from streets and shelters without preconditions<br />

<strong>of</strong> treatment acceptance or compliance;<br />

2. <strong>The</strong> provider is obligated to br<strong>in</strong>g robust support services to the hous<strong>in</strong>g. <strong>The</strong>se<br />

services are predicated on assertive engagement, not coercion;<br />

3. Cont<strong>in</strong>ued tenancy is not dependent on participation <strong>in</strong> services;<br />

4. Units targeted to most disabled and vulnerable homeless members <strong>of</strong> the<br />

community;<br />

5. Embraces harm-reduction approach to addictions rather than mandat<strong>in</strong>g<br />

abst<strong>in</strong>ence. At the same time, the provider must be prepared to support resident<br />

commitment to recovery;<br />

6. Residents must have leases and tenant protections under the law;<br />

7. Can be implemented as either a project-based or scattered site model.<br />

History and Evolution<br />

In Los Angeles, California <strong>in</strong> 1988, the "Hous<strong>in</strong>g First" Program for families was<br />

launched at Beyond Shelter by Tanya Tull <strong>in</strong> response to a sharp <strong>in</strong>crease <strong>in</strong> the<br />

number <strong>of</strong> homeless families with children. <strong>The</strong> "hous<strong>in</strong>g first" approach for families<br />

<strong>in</strong>cludes <strong>in</strong>-depth screen<strong>in</strong>g and assessment for child safety. Families should not be<br />

relocated to rental hous<strong>in</strong>g if there are <strong>in</strong>dicators that a child might be <strong>in</strong> danger. In<br />

"hous<strong>in</strong>g first" for families, services are available before, dur<strong>in</strong>g, and after relocation to<br />

rental hous<strong>in</strong>g - but engagement is not a requirement for participation. Unfortunately the<br />

"hous<strong>in</strong>g first" philosophy was <strong>of</strong>ten mis<strong>in</strong>terpreted <strong>in</strong> later years and, today, many<br />

government programs promote faulty application <strong>of</strong> "hous<strong>in</strong>g first." For households with<br />

children, appropriate services and monitor<strong>in</strong>g may be delivered through home visits,<br />

outpatient treatment, or l<strong>in</strong>k<strong>in</strong>g to appropriate services <strong>in</strong> the community at-large.<br />

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In 1992 Dr. Sam Tsemberis, a faculty member <strong>of</strong> the Department <strong>of</strong> Psychiatry <strong>of</strong><br />

the New York University School <strong>of</strong> Medic<strong>in</strong>e, founded Pathways to Hous<strong>in</strong>g <strong>in</strong> New York<br />

City. Hous<strong>in</strong>g First for the chronically homeless is premised on the notion that hous<strong>in</strong>g<br />

is a basic human right, and so should not be denied to anyone, even if they are abus<strong>in</strong>g<br />

alcohol or other substances. <strong>The</strong> Hous<strong>in</strong>g First model, thus, is philosophically <strong>in</strong><br />

contrast to models that require the homeless to abjure substance-abuse and seek<br />

treatment <strong>in</strong> exchange for hous<strong>in</strong>g.<br />

Hous<strong>in</strong>g First, when supported by the United States Department <strong>of</strong> Hous<strong>in</strong>g and Urban<br />

Development, does not only provide hous<strong>in</strong>g. <strong>The</strong> model, used by nonpr<strong>of</strong>it agencies<br />

throughout America, also provides wraparound case management services to the<br />

tenants. This case management provides stability for homeless <strong>in</strong>dividuals, which<br />

<strong>in</strong>creases their success. It allows for accountability and promotes self-sufficiency. <strong>The</strong><br />

hous<strong>in</strong>g provided through government supported Hous<strong>in</strong>g First programs is permanent<br />

and "affordable," mean<strong>in</strong>g that tenants pay 30% <strong>of</strong> their <strong>in</strong>come towards rent. Hous<strong>in</strong>g<br />

First, as pioneered by Pathways to Hous<strong>in</strong>g, targets <strong>in</strong>dividuals with disabilities. This<br />

hous<strong>in</strong>g is supported through two HUD programs. <strong>The</strong>y are the Supportive<br />

Hous<strong>in</strong>g Program and the Shelter Plus Care Program. Pathways' Hous<strong>in</strong>g First model<br />

has been recognized by the Substance Abuse and Mental Health Services<br />

Adm<strong>in</strong>istration as an Evidence-based practice.<br />

<strong>The</strong> Hous<strong>in</strong>g First Model is executed through either a scattered-site or project-based<br />

implementation. A scattered-site Hous<strong>in</strong>g First program is a model <strong>in</strong> which residents<br />

are <strong>of</strong>fered the opportunity <strong>of</strong> be<strong>in</strong>g housed <strong>in</strong> <strong>in</strong>dividual hous<strong>in</strong>g units throughout a<br />

community. This model <strong>in</strong>tegrates participants <strong>in</strong> a community as opposed to<br />

assembl<strong>in</strong>g multiple or all participants <strong>in</strong> one project or location. In a project-based<br />

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Hous<strong>in</strong>g First implementation, residents are <strong>of</strong>fered units with<strong>in</strong> a s<strong>in</strong>gle hous<strong>in</strong>g project<br />

or site. This model congregates multiple or all participants <strong>in</strong> one locality. In both the<br />

scattered-site and project-based Hous<strong>in</strong>g First programs, residents are given access to<br />

a wide variety <strong>of</strong> supportive health and rehabilitation services which they have the<br />

option, although not mandatory, to participate <strong>in</strong> and receive treatment.<br />

Hous<strong>in</strong>g First is currently endorsed by the United States Interagency Council on<br />

<strong>Homelessness</strong> (<strong>US</strong>ICH) as a "best practice" for governments and service-agencies to<br />

use <strong>in</strong> their fight to end chronic homelessness <strong>in</strong> America.<br />

Hous<strong>in</strong>g First programs currently operate throughout the United States <strong>in</strong> cities such<br />

as New Orleans, Louisiana; Plattsburgh, New York; Anchorage, Alaska; M<strong>in</strong>neapolis,<br />

M<strong>in</strong>nesota; New York City; District <strong>of</strong> Columbia; Denver, Colorado; San Francisco,<br />

California; Atlanta, Georgia; Chicago, Ill<strong>in</strong>ois; Qu<strong>in</strong>cy, Massachusetts; Philadelphia,<br />

Pennsylvania; Salt Lake City, Utah; Seattle, Wash<strong>in</strong>gton; Los Angeles; Aust<strong>in</strong>,<br />

Texas; and Cleveland, Ohio, among many others, and are <strong>in</strong>tended to be crucial<br />

aspects <strong>of</strong> communities' so-called "10-Year Plans To End Chronic <strong>Homelessness</strong>" also<br />

advocated by <strong>US</strong>ICH. Rapid Re-Hous<strong>in</strong>g is based on Hous<strong>in</strong>g First pr<strong>in</strong>ciples and is<br />

considered a subset <strong>of</strong> the Hous<strong>in</strong>g First approach. Rapid Re-Hous<strong>in</strong>g differs primarily<br />

<strong>in</strong> the provision <strong>of</strong> short-term rent subsidies (generally 3–6 months), after which the<br />

tenant either pays rent without a subsidy or has access to a Section 8 Hous<strong>in</strong>g Choice<br />

voucher or the equivalent.<br />

Evidence and Outcomes<br />

In Massachusetts, the Home & Healthy for Good program reported some significant<br />

outcomes that were favorable especially <strong>in</strong> the area <strong>of</strong> cost sav<strong>in</strong>gs.<br />

<strong>The</strong> Denver Hous<strong>in</strong>g First Collaborative, operated by the Colorado Coalition for the<br />

Homeless, provides hous<strong>in</strong>g through a Hous<strong>in</strong>g First approach to more than 200<br />

chronically homeless <strong>in</strong>dividuals. A 2006 cost study documented a significant reduction<br />

<strong>in</strong> the use and cost <strong>of</strong> emergency services by program participants as well as <strong>in</strong>creased<br />

health status. Emergency room visits and costs were reduced by an average <strong>of</strong> 34.3<br />

percent. Hospital <strong>in</strong>patient costs were reduced by 66 percent. Detox visits were reduced<br />

by 82 percent. Incarceration days and costs were reduced by 76 percent. 77 percent <strong>of</strong><br />

those enter<strong>in</strong>g the program cont<strong>in</strong>ued to be housed <strong>in</strong> the program after two years.<br />

Researchers <strong>in</strong> Seattle, Wash<strong>in</strong>gton, partner<strong>in</strong>g with the Downtown Emergency Service<br />

Center, found that provid<strong>in</strong>g hous<strong>in</strong>g and support services for homeless alcoholics costs<br />

taxpayers less than leav<strong>in</strong>g them on the street, where taxpayer money goes towards<br />

police and emergency health care. Results <strong>of</strong> the study funded by the Substance Abuse<br />

Policy Research Program (SAPRP) <strong>of</strong> the Robert Wood Johnson Foundation appeared<br />

<strong>in</strong> the Journal <strong>of</strong> the American Medical Association April, 2009. This first <strong>US</strong> controlled<br />

assessment <strong>of</strong> the effectiveness <strong>of</strong> Hous<strong>in</strong>g First specifically target<strong>in</strong>g chronically<br />

homeless alcoholics showed that the program saved taxpayers more than $4 million<br />

over the first year <strong>of</strong> operation. Dur<strong>in</strong>g the first six months, even after consider<strong>in</strong>g the<br />

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cost <strong>of</strong> adm<strong>in</strong>ister<strong>in</strong>g the hous<strong>in</strong>g, 95 residents <strong>in</strong> a Hous<strong>in</strong>g First program <strong>in</strong> downtown<br />

Seattle, the study reported an average cost-sav<strong>in</strong>gs <strong>of</strong> 53 percent—nearly <strong>US</strong> $2,500<br />

per month per person <strong>in</strong> health and social services, compared to the per month costs <strong>of</strong><br />

a wait-list control group <strong>of</strong> 39 homeless people. Further, stable hous<strong>in</strong>g also results <strong>in</strong><br />

reduced dr<strong>in</strong>k<strong>in</strong>g among homeless alcoholics.<br />

In Utah, there has been "a 72 percent decrease overall s<strong>in</strong>ce enact<strong>in</strong>g the plan <strong>in</strong> 2005"<br />

accord<strong>in</strong>g to the Utah Division <strong>of</strong> Hous<strong>in</strong>g and Community Development.<br />

In August 2007, the <strong>US</strong> Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development reported that<br />

the number <strong>of</strong> chronically homeless <strong>in</strong>dividuals liv<strong>in</strong>g on the streets or <strong>in</strong> shelters<br />

dropped by an unprecedented 30 percent, from 175,914 people <strong>in</strong> 2005 to 123,833 <strong>in</strong><br />

2007. This was credited <strong>in</strong> part to the "hous<strong>in</strong>g first" approach; Congress <strong>in</strong> 1999<br />

directed that HUD spend 30% <strong>of</strong> its fund<strong>in</strong>g on the method.<br />

In September 2010, it was reported that the Hous<strong>in</strong>g First Initiative had significantly<br />

reduced the chronic homeless s<strong>in</strong>gle person population <strong>in</strong> Boston, Massachusetts,<br />

although homeless families were still <strong>in</strong>creas<strong>in</strong>g <strong>in</strong> number. Some shelters were<br />

reduc<strong>in</strong>g the number <strong>of</strong> beds due to lowered numbers <strong>of</strong> homeless, and some<br />

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emergency shelter facilities were clos<strong>in</strong>g, especially the emergency Boston Night<br />

Center. By 2015, Boston Mayor Marty Walsh had announced a 3-year plan to end<br />

chronic homelessness, focus<strong>in</strong>g on coord<strong>in</strong>at<strong>in</strong>g efforts among public agencies and<br />

nonpr<strong>of</strong>it organizations provid<strong>in</strong>g services to homeless men and women.<br />

In 2013, the estimated national public cost <strong>of</strong> chronic homelessness was between $3.7<br />

and $4.7 billion accord<strong>in</strong>g to the United States Interagency Council on<br />

<strong>Homelessness</strong> (<strong>US</strong>ICH). Through Hous<strong>in</strong>g First programs, chronically homeless<br />

<strong>in</strong>dividuals are us<strong>in</strong>g fewer hospital resources, spend<strong>in</strong>g less time <strong>in</strong> costly <strong>in</strong>carceration<br />

and requir<strong>in</strong>g fewer emergency room visits. For example, a review <strong>of</strong> the impact <strong>of</strong><br />

permanent supportive hous<strong>in</strong>g and case management on the health <strong>of</strong> the chronically<br />

homeless found evidence that these services have a positive impact on health<br />

outcomes such as self-reported mental health status and substance use, a large impact<br />

on health care utilization, and a reduction <strong>in</strong> Medicaid health care costs. Studies <strong>in</strong> New<br />

York City and <strong>in</strong> Utah have shown that every homeless person housed <strong>in</strong> programs<br />

such as Hous<strong>in</strong>g First saves taxpayers $10,000 and $8,000 a year, respectively. A<br />

research study at University <strong>of</strong> Northern Carol<strong>in</strong>a also reported that a hous<strong>in</strong>g project<br />

for the chronically homeless called Moore Place had saved the county $2.4 million.<br />

Post–2007 <strong>US</strong> Policy and Legislation<br />

<strong>The</strong> United States Congress appropriated $25 million <strong>in</strong> the McK<strong>in</strong>ney-Vento Homeless<br />

Assistance Grants for 2008 to show the effectiveness <strong>of</strong> Rapid Re-hous<strong>in</strong>g programs <strong>in</strong><br />

reduc<strong>in</strong>g family homelessness.<br />

In February 2009, President Obama signed the American Recovery and Re<strong>in</strong>vestment<br />

Act <strong>of</strong> 2009 part <strong>of</strong> which addressed homelessness prevention, allocat<strong>in</strong>g $1.5 billion for<br />

a Homeless Prevention Fund. <strong>The</strong> fund<strong>in</strong>g for it was called the "<strong>Homelessness</strong><br />

Prevention and Rapid Re-Hous<strong>in</strong>g Program" (HPRP), and was distributed us<strong>in</strong>g the<br />

formula for the Emergency Shelter Grants (ESG) program.<br />

On May 20, 2009, President Obama signed the Homeless Emergency Assistance and<br />

Rapid Transition to Hous<strong>in</strong>g (HEARTH) Act <strong>in</strong>to Public Law (Public Law 111-22 or "PL<br />

111-22"), reauthoriz<strong>in</strong>g HUD's Homeless Assistance programs. It was part <strong>of</strong><br />

the Help<strong>in</strong>g Families Save <strong>The</strong>ir Homes Act <strong>of</strong> 2009. <strong>The</strong> HEARTH act allows for the<br />

prevention <strong>of</strong> homelessness, rapid re-hous<strong>in</strong>g, consolidation <strong>of</strong> hous<strong>in</strong>g programs, and<br />

new homeless categories. In the eighteen months after the bill's sign<strong>in</strong>g, HUD must<br />

make regulations implement<strong>in</strong>g this new McK<strong>in</strong>ney program.<br />

In late 2009, some homeless advocacy organizations, such as the National Coalition for<br />

the Homeless, reported and published perceived problems with the HEARTH Act <strong>of</strong><br />

2009 as a HUD McK<strong>in</strong>ney-Vento Reauthorization bill, especially with regard to privacy,<br />

def<strong>in</strong>itional <strong>in</strong>eligibility, community roles, and restrictions on eligibile activities.<br />

On June 22, 2010, the United States Interagency Council on<br />

<strong>Homelessness</strong> presented Open<strong>in</strong>g Doors: Federal Strategic Plan to Prevent and End<br />

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<strong>Homelessness</strong> to the Obama Adm<strong>in</strong>istration and Congress. This is the nation's first<br />

comprehensive strategy as mandated by the HEARTH Act and <strong>in</strong>cludes Hous<strong>in</strong>g First<br />

as a best practice for reach<strong>in</strong>g the goal <strong>of</strong> end<strong>in</strong>g chronic homelessness by 2015.<br />

On June 11, 2014 the 100,000 Homes Campaign <strong>in</strong> the United States, launched <strong>in</strong> 2010<br />

to "help communities around the country place 100,000 chronically homeless people<br />

<strong>in</strong>to permanent supportive hous<strong>in</strong>g" announced that it reached its four-year goal <strong>of</strong><br />

hous<strong>in</strong>g 100,000 chronically homeless people nearly two months before its July 29<br />

deadl<strong>in</strong>e.<br />

New York Times journalist David Bornste<strong>in</strong> summarized key elements <strong>of</strong> the 100,000<br />

Homes Campaign that campaign leaders attribute to its success. [39] This <strong>in</strong>cluded<br />

learn<strong>in</strong>g <strong>in</strong>dividual homeless people's "name and need" by mobiliz<strong>in</strong>g volunteers to go<br />

very early <strong>in</strong> the morn<strong>in</strong>g to check on them, establish<strong>in</strong>g a "vulnerability <strong>in</strong>dex" so they<br />

could prioritize certa<strong>in</strong> homeless people and "br<strong>in</strong>g hous<strong>in</strong>g advocates and agency<br />

representatives together to streaml<strong>in</strong>e the placement processes, and share ideas about<br />

how to cut through red tape."<br />

Application to Family <strong>Homelessness</strong><br />

<strong>The</strong> Hous<strong>in</strong>g First methodology was <strong>in</strong>itially developed <strong>in</strong> 1988 <strong>in</strong> Los Angeles,<br />

California, to address an <strong>in</strong>crease <strong>in</strong> family homelessness. <strong>The</strong> basic methodology<br />

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helps homeless families to relocate from shelters and transitional hous<strong>in</strong>g directly <strong>in</strong>to<br />

permanent rental hous<strong>in</strong>g <strong>in</strong> the community at-large as quickly as possible, with homebased<br />

case management support for a traditional period <strong>of</strong> time. In other words, the<br />

services traditionally be<strong>in</strong>g provided <strong>in</strong> transitional hous<strong>in</strong>g were <strong>in</strong>stead provided to<br />

families after they had been assisted <strong>in</strong> relocat<strong>in</strong>g to permanent hous<strong>in</strong>g at rents they<br />

could afford. This was a major <strong>in</strong>novation <strong>in</strong> the field at the time. <strong>The</strong> basic premise was<br />

that families were more responsive to <strong>in</strong>terventions and support from a stable<br />

permanent hous<strong>in</strong>g base than while still homeless. In the 2009 HEARTH Act, the<br />

Hous<strong>in</strong>g First approach to end<strong>in</strong>g homelessness was codified <strong>in</strong>to law. Hous<strong>in</strong>g First<br />

programs for families differ dramatically from Hous<strong>in</strong>g First for the chronically homeless,<br />

as children are <strong>in</strong>volved. Beyond Shelter's leadership promoted this new approach<br />

across the country for the next 20 years, work<strong>in</strong>g collaboratively with the National<br />

Alliance to End <strong>Homelessness</strong>.<br />

Australia<br />

Outside the United States<br />

In South Australia, the State Government <strong>of</strong> Premier Mike Rann (2002 to 2011)<br />

committed substantial fund<strong>in</strong>g to a series <strong>of</strong> <strong>in</strong>itiatives designed to combat<br />

homelessness. Advised by Social Inclusion Commissioner David Cappo and the<br />

founder <strong>of</strong> New York's Common Ground program, Rosanne Haggerty, the Rann<br />

Government established Common Ground Adelaide, build<strong>in</strong>g high quality <strong>in</strong>ner city<br />

apartments (comb<strong>in</strong>ed with <strong>in</strong>tensive support) for "rough sleep<strong>in</strong>g" homeless people.<br />

<strong>The</strong> government also funded the Street to Home program and a hospital liaison service<br />

designed to assist homeless people who are admitted to the emergency departments <strong>of</strong><br />

Adelaide's major public hospitals. Rather than be<strong>in</strong>g released back <strong>in</strong>to homelessness,<br />

patients identified as rough sleepers are found accommodation backed by pr<strong>of</strong>essional<br />

support. Common Ground and Street to Home now operate across Australia <strong>in</strong> other<br />

states.<br />

Canada<br />

In its <strong>Economic</strong> Action Plan 2013, the Federal Government <strong>of</strong> Canada proposed $119<br />

million annually from March 2014 until March 2019—with $600 million <strong>in</strong> new fund<strong>in</strong>g—<br />

to renew its <strong>Homelessness</strong> Partner<strong>in</strong>g Strategy (HPS). In deal<strong>in</strong>g with homelessness <strong>in</strong><br />

Canada, the focus is on the Hous<strong>in</strong>g First model. Thus, private or public organizations<br />

across Canada are eligible to receive HPS subsidies to implement Hous<strong>in</strong>g First<br />

programs. In 2008, the Federal Government <strong>of</strong> Canada funded a five-year<br />

demonstration program, the At Home/Chez Soi project, aimed at provid<strong>in</strong>g evidence<br />

about what services and systems best help people experienc<strong>in</strong>g serious mental illness<br />

and homelessness. Launched <strong>in</strong> November 2009 and end<strong>in</strong>g <strong>in</strong> March 2013, the At<br />

Home/Chez Soi project was actively address<strong>in</strong>g the hous<strong>in</strong>g need by <strong>of</strong>fer<strong>in</strong>g Hous<strong>in</strong>g<br />

First programs to people with mental illness who were experienc<strong>in</strong>g homelessness <strong>in</strong><br />

five cities: Vancouver, W<strong>in</strong>nipeg, Toronto, Montréal and Moncton. In total, At<br />

Home/Chez Soi has provided more than 1,000 Canadians with hous<strong>in</strong>g.<br />

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Hous<strong>in</strong>g First has grown <strong>in</strong> popularity <strong>in</strong> Canada and used <strong>in</strong> many Canadian ten-year<br />

plans to end homelessness, such as those <strong>in</strong> Edmonton and Calgary, Alberta. Hous<strong>in</strong>g<br />

First: A Canadian Perspective (TM) is spearheaded by Pathways to Hous<strong>in</strong>g Calgary<br />

and director Sue Fortune. Canadian adaptations to Hous<strong>in</strong>g First have demonstrated<br />

positive outcomes as documented on the website: www.thealex.ca (Hous<strong>in</strong>g Programs;<br />

Pathways to Hous<strong>in</strong>g). Canadian implementations <strong>of</strong> Hous<strong>in</strong>g First must be tailored to<br />

Canadian homelessness, resources, politics and philosophy.<br />

In Calgary, Alberta, the Alex Pathways to Hous<strong>in</strong>g Calgary which opened <strong>in</strong> 2007, has<br />

150 <strong>in</strong>dividuals <strong>in</strong> scatter site homes <strong>in</strong> 2013. Clients pay 30 percent <strong>of</strong> their <strong>in</strong>come<br />

towards their rent: 85 percent <strong>of</strong> Pathways to Hous<strong>in</strong>g clients receive Assured Income<br />

for the Severely Handicapped (AISH) benefits and 15 percent receive Alberta Works.<br />

<strong>The</strong> Alex Pathways to Hous<strong>in</strong>g uses a Hous<strong>in</strong>g First model, but it also uses Assertive<br />

Community Treatment (ACT), an <strong>in</strong>tegrated approach to healthcare where clients<br />

access a team <strong>of</strong> "nurses, mental health specialists, justice specialists and substance<br />

abuse specialists." Director Sue Fortune is committed to the 10 Year Plan To End<br />

<strong>Homelessness</strong> <strong>in</strong> the Calgary Region. Fortune reported that the Hous<strong>in</strong>g First approach<br />

resulted <strong>in</strong> a 66 percent decl<strong>in</strong>e <strong>in</strong> days hospitalized (from one year prior to <strong>in</strong>take<br />

compared to one year <strong>in</strong> the program), a 38 percent decl<strong>in</strong>e <strong>in</strong> times <strong>in</strong> emergency<br />

room, a 41 percent decl<strong>in</strong>e <strong>in</strong> EMS events, a 79 percent decl<strong>in</strong>e <strong>in</strong> days <strong>in</strong> jail and a 30<br />

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percent decl<strong>in</strong>e <strong>in</strong> police <strong>in</strong>teractions. Sue Fortune, Director <strong>of</strong> Alex Pathways to<br />

Hous<strong>in</strong>g <strong>in</strong> Calgary <strong>in</strong> her 2013 presentation entitled "Canadian Adaptations us<strong>in</strong>g<br />

Hous<strong>in</strong>g First: A Canadian Perspective" argued that less than 1% <strong>of</strong> exist<strong>in</strong>g clients<br />

return to shelters or rough sleep<strong>in</strong>g; clients spend 76% fewer days <strong>in</strong> jail; clients have<br />

35% decl<strong>in</strong>e <strong>in</strong> police <strong>in</strong>teractions.<br />

Pathways to Hous<strong>in</strong>g Canada describes the Hous<strong>in</strong>g First as a "client-driven strategy<br />

that provides immediate access to an apartment without requir<strong>in</strong>g <strong>in</strong>itial participation <strong>in</strong><br />

psychiatric treatment or treatment for sobriety."<br />

F<strong>in</strong>land<br />

In 2007 the center-right government <strong>of</strong> Matti Vanhanen began a special program <strong>of</strong> four<br />

wise men to elim<strong>in</strong>ate homelessness <strong>in</strong> F<strong>in</strong>land by 2015.<br />

<strong>The</strong> program to reduce long-term homelessness targets just some homeless people.<br />

Assessed on the basis <strong>of</strong> social, health and f<strong>in</strong>ancial circumstances, this is the hard<br />

core <strong>of</strong> homelessness. <strong>The</strong> programme to reduce long-term homelessness focuses on<br />

the 10 biggest urban growth centres, where most <strong>of</strong> the homeless are to be found. <strong>The</strong><br />

ma<strong>in</strong> priority, however, is the Hels<strong>in</strong>ki Metropolitan Area, and especially Hels<strong>in</strong>ki itself,<br />

where long-term homelessness is concentrated.<br />

<strong>The</strong> program is structured around the hous<strong>in</strong>g first pr<strong>in</strong>ciple. Solutions to social and<br />

health problems cannot be a condition for organiz<strong>in</strong>g accommodation: on the contrary,<br />

accommodation is a requirement which also allows other problems <strong>of</strong> people who have<br />

been homeless to be solved. Hav<strong>in</strong>g somewhere to live makes it possible to strengthen<br />

life management skills and is conducive to purposeful activity.<br />

Because <strong>of</strong> all the reasons there are for long-term homelessness, if it is to be cut there<br />

need to be simultaneous measures at different levels, i.e. universal hous<strong>in</strong>g and social<br />

policy measures, the prevention <strong>of</strong> homelessness and targeted action to reduce longterm<br />

homelessness.<br />

<strong>The</strong> program’s objectives are:<br />

To halve long-term homelessness by 2011<br />

To elim<strong>in</strong>ate homelessness entirely by 2015<br />

More effective measures to prevent homelessness<br />

France<br />

<strong>The</strong> French government launched a Hous<strong>in</strong>g First-like program <strong>in</strong> France <strong>in</strong> 2010 <strong>in</strong> 4<br />

major cities - Toulouse, Marseille, Lille and Paris - called "Un chez-Soi d'abord". It<br />

follows the same pr<strong>in</strong>ciples as the Canadian and <strong>US</strong> programs: it is focused on<br />

homeless people with mental illness or addicted to drugs or alcohol. <strong>The</strong> plan is on a<br />

three-year basis for each <strong>in</strong>dividual, liv<strong>in</strong>g <strong>in</strong> accommodation provided by an NGO.<br />

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Clients are given any needed help with social issues and medical care. <strong>The</strong> first houses<br />

have been work<strong>in</strong>g <strong>in</strong> three cities s<strong>in</strong>ce 2011 and a hundred apartments have been<br />

planned <strong>in</strong> Paris start<strong>in</strong>g <strong>in</strong> May 2012.<br />

Several NGOs are <strong>in</strong>volved <strong>in</strong> this trial. <strong>The</strong>y provide rental management and social<br />

support for tenants.<br />

Those NGOs are l<strong>in</strong>ked with scientists <strong>in</strong>vestigat<strong>in</strong>g the results <strong>of</strong> the experiment and<br />

serve as a relay for <strong>in</strong>formation and status reports on the targeted public. <strong>The</strong> lead team<br />

<strong>of</strong> "Un chez-soi d'abord" is expect<strong>in</strong>g results to be published around 2017.<br />

Japan<br />

Though homeless support groups like non-pr<strong>of</strong>it<br />

organization Moyai, Bigissue, Médec<strong>in</strong>s du Monde Japan have requested Hous<strong>in</strong>g First,<br />

Japanese government does not have a Hous<strong>in</strong>g First program yet. Traditionally, the<br />

government <strong>of</strong>fers public hous<strong>in</strong>g so-called Koei-jutaku for low-<strong>in</strong>come people by public<br />

hous<strong>in</strong>g law and it is run by local government. Rent fees are subject to change<br />

accord<strong>in</strong>g to household <strong>in</strong>come. Because applicants must be selected by lottery, low<strong>in</strong>come<br />

people cannot live <strong>in</strong> the hous<strong>in</strong>g soon though they have an advantage. <strong>The</strong>re<br />

are a couple <strong>of</strong> Hous<strong>in</strong>g First-like programs. Non-pr<strong>of</strong>it organization<br />

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Littleones renovates discarded or empty homes and they rent the rooms to s<strong>in</strong>gle<br />

mothers with f<strong>in</strong>ancial and occupational support. Tsukuroi Tokyo fund advocates a<br />

hous<strong>in</strong>g first and they built a shelter specially for homeless people.<br />

United K<strong>in</strong>gdom<br />

<strong>The</strong> UK government announced plans for a Hous<strong>in</strong>g First pilot program <strong>in</strong> the West<br />

Midlands, Liverpool, and Manchester, along with fund<strong>in</strong>g <strong>of</strong> £28m. This followed<br />

publication <strong>of</strong> a report entitled Hous<strong>in</strong>g First by the Centre for Social Justice which cited<br />

the results from the F<strong>in</strong>nish application <strong>of</strong> Hous<strong>in</strong>g First.<br />

One-Size-Fits-All<br />

Criticism <strong>of</strong> Hous<strong>in</strong>g First<br />

Ralph DaCosta Nunez, the President and CEO <strong>of</strong> the Institute for Children, Poverty and<br />

<strong>Homelessness</strong> (ICPH), who is also a Pr<strong>of</strong>essor at Columbia University, predicted this<br />

one-size-fits-all is dest<strong>in</strong>ed to fail as statistics <strong>in</strong> New York City prove. Dr. Nunez<br />

described the approach as "'public stupidity'" rather than "'public policy'". He also<br />

compla<strong>in</strong>ed that Hous<strong>in</strong>g First "is all that’s left after the other poverty fight<strong>in</strong>g programs<br />

have been underfunded or elim<strong>in</strong>ated." Nunez advocates for a three tiered approach to<br />

address<strong>in</strong>g homelessness with Hous<strong>in</strong>g First as only the first component <strong>of</strong> that<br />

approach.<br />

Follow<strong>in</strong>g Panelák: A Failed Communist Model<br />

Sharam Kohan, a social policy expert and economist, compared the Hous<strong>in</strong>g First<br />

model to Panelák <strong>of</strong> the former communist countries that tried to end homelessness by<br />

provid<strong>in</strong>g permanent and unconditional public hous<strong>in</strong>g. Dr. Kohan criticized Hous<strong>in</strong>g<br />

First model for follow<strong>in</strong>g Panelák's failed philosophy and approaches. Dr. Kohan po<strong>in</strong>ts<br />

to a grow<strong>in</strong>g number <strong>of</strong> reports from communities that have implemented Hous<strong>in</strong>g First<br />

programs which are "credited with creat<strong>in</strong>g slums and slumlord."<br />

Limits <strong>of</strong> Evidence Based Policy<br />

On July 31, 2011, Pr<strong>of</strong>. Victoria Stanhope, Ph.D., <strong>of</strong> New York University School <strong>of</strong><br />

Social Work and Pr<strong>of</strong>. Kerry Dunn, J.D., Ph.D., <strong>of</strong> University <strong>of</strong> New England School <strong>of</strong><br />

Social Work, published “<strong>The</strong> curious case <strong>of</strong> Hous<strong>in</strong>g First; <strong>The</strong> limits <strong>of</strong> evidence-based<br />

policy” <strong>in</strong> the International Journal <strong>of</strong> Law and Psychiatry. Drs. Stanhope and Dunn<br />

gave an overview <strong>of</strong> evidence-based policy and presented “critiques based on its<br />

reliance on positivist methods and technical approach to policy mak<strong>in</strong>g. Us<strong>in</strong>g these<br />

critiques as a framework, the paper discusse[d] the case <strong>of</strong> Hous<strong>in</strong>g First, a policy<br />

adopted by the Bush Adm<strong>in</strong>istration <strong>in</strong> order to address the problem <strong>of</strong> chronic<br />

homelessness.” Accord<strong>in</strong>g to Drs. Stanhope and Dunn, the Hous<strong>in</strong>g First “is an<br />

example <strong>of</strong> research-driven policy mak<strong>in</strong>g but also resulted <strong>in</strong> a progressive policy be<strong>in</strong>g<br />

promoted by a conservative adm<strong>in</strong>istration. In discuss<strong>in</strong>g the case, the paper elaborates<br />

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on the relationship between evidence and policy, argu<strong>in</strong>g that evidence-based policy<br />

fails to <strong>in</strong>tegrate evidence and values <strong>in</strong>to policy deliberations. <strong>The</strong> paper concludes<br />

with alternative models <strong>of</strong> policy decision-mak<strong>in</strong>g and their implications for research.”<br />

Hous<strong>in</strong>g First has been criticized on its failure to address broader service outcomes,<br />

namely substance abuse (<strong>in</strong> one case, it was argued that the only reason substance<br />

abuse outcomes were no worse was that the residents were not severely<br />

addicted). <strong>The</strong>se criticisms have been rebutted on the grounds that Hous<strong>in</strong>g First is a<br />

program to end homelessness not to reduce substance abuse, though more recent<br />

research <strong>in</strong>dicates it is more effective than traditional approaches <strong>in</strong> this regard as<br />

well. This exchange highlights the way <strong>in</strong> which the selection <strong>of</strong> outcomes sets both the<br />

terms <strong>of</strong> the debate and the parameters <strong>of</strong> “what works.” Embedded <strong>in</strong> that mantra are a<br />

priori decisions about what constitutes work<strong>in</strong>g and for whom; <strong>in</strong> this case it was stable<br />

hous<strong>in</strong>g for the chronic homeless.<br />

Accord<strong>in</strong>g to Stanhope, Hous<strong>in</strong>g First “asserts a right to hous<strong>in</strong>g. Such a material right<br />

is an anathema to neoliberal ideology and challenges deeply held beliefs that have<br />

shaped <strong>US</strong> welfare from its <strong>in</strong>ception: That no one has a right to a government benefit<br />

unless they have proved themselves to be deserv<strong>in</strong>g or worthy (e.g., "TANF"), or have<br />

earned it (e.g., social <strong>in</strong>surance).”<br />

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VIII. <strong>The</strong> Crim<strong>in</strong>alization <strong>of</strong><br />

<strong>Homelessness</strong><br />

National Coalition for <strong>The</strong> Homeless<br />

<strong>The</strong> crim<strong>in</strong>alization <strong>of</strong> homelessness refers to measures that prohibit life-susta<strong>in</strong><strong>in</strong>g<br />

activities such as sleep<strong>in</strong>g/camp<strong>in</strong>g, eat<strong>in</strong>g, sitt<strong>in</strong>g, and/or ask<strong>in</strong>g for money/resources<br />

<strong>in</strong> public spaces. <strong>The</strong>se ord<strong>in</strong>ances <strong>in</strong>clude crim<strong>in</strong>al penalties for violations <strong>of</strong> these<br />

acts.<br />

<strong>The</strong>re are multiple types <strong>of</strong> crim<strong>in</strong>alization measures which <strong>in</strong>clude:<br />

<br />

Carry<strong>in</strong>g out sweeps (confiscat<strong>in</strong>g personal property <strong>in</strong>clud<strong>in</strong>g tents, bedd<strong>in</strong>g,<br />

papers, cloth<strong>in</strong>g, medications, etc.) <strong>in</strong> city areas where homeless people live.<br />

<br />

<br />

<br />

Mak<strong>in</strong>g panhandl<strong>in</strong>g illegal.<br />

Mak<strong>in</strong>g it illegal for groups to share food with homeless persons <strong>in</strong> public spaces.<br />

Enforc<strong>in</strong>g a “quality <strong>of</strong> life” ord<strong>in</strong>ance relat<strong>in</strong>g to public activity and hygiene.<br />

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Unfortunately, over the past 25 years, cities across the country have penalized people<br />

who are forced to carryout out life-susta<strong>in</strong><strong>in</strong>g activities on the street and <strong>in</strong> public<br />

spaces; despite the fact these communities lack adequate affordable hous<strong>in</strong>g and<br />

shelter space. Ultimately, many <strong>of</strong> these measures are designed to move homeless<br />

persons out <strong>of</strong> sight, and at times out <strong>of</strong> a given city.<br />

Why Is This An Issue?<br />

Crim<strong>in</strong>alization measures that punish homelessness and activities necessary to survive<br />

on the street are counterproductive to end<strong>in</strong>g homelessness. Associated f<strong>in</strong>es and<br />

crim<strong>in</strong>al records provide greater barriers for many to becom<strong>in</strong>g re-housed, and <strong>of</strong>ten<br />

perpetuate negative sentiments towards people who are homeless.<br />

<strong>The</strong> <strong>US</strong> Interagency Council on <strong>Homelessness</strong> has strongly advised local governments<br />

not to enact laws crim<strong>in</strong>aliz<strong>in</strong>g homelessness because they create additional barriers for<br />

homeless people, fail to <strong>in</strong>crease access to services, and underm<strong>in</strong>e the impact <strong>of</strong><br />

service providers.<br />

Consequently, many crim<strong>in</strong>alization measures:<br />

VIOLATE HOMELESS PERSONS’ CONSTITUTIONAL RIGHTS<br />

<br />

<br />

<br />

1st Amendment protection <strong>of</strong> free speech – Laws restrict<strong>in</strong>g speech like begg<strong>in</strong>g<br />

targets speech based on content, or does not allow for alternative channels <strong>of</strong><br />

communication.<br />

4th Amendment protection from unreasonable search and seizure – Law<br />

enforcement be<strong>in</strong>g allowed to destroy a homeless person’s belong<strong>in</strong>gs.<br />

8th Amendment protection from cruel and unusual punishment – Impos<strong>in</strong>g<br />

crim<strong>in</strong>al penalties for engag<strong>in</strong>g <strong>in</strong> necessary life susta<strong>in</strong><strong>in</strong>g activities.<br />

14th Amendment protect<strong>in</strong>g citizenship, due process, and equal protection –<br />

Vague statutes which do not give a person notice <strong>of</strong> prohibited conduct and<br />

encourage arbitrary enforcement.<br />

EXACERBATE THE SITUATION<br />

A crim<strong>in</strong>al record adds to the already difficult situation <strong>of</strong> f<strong>in</strong>d<strong>in</strong>g employment,<br />

gett<strong>in</strong>g hous<strong>in</strong>g, or be<strong>in</strong>g eligible for certa<strong>in</strong> services.<br />

Additionally, the crim<strong>in</strong>alization <strong>of</strong> homelessness adds to an already<br />

overburdened crim<strong>in</strong>al justice system by deta<strong>in</strong><strong>in</strong>g <strong>in</strong>dividuals who have not<br />

committed serious crimes. One night <strong>in</strong> jail costs 3x more on average than a<br />

shelter, and law enforcement is both unprepared and <strong>in</strong>capable <strong>of</strong> handl<strong>in</strong>g<br />

homelessness and related issues.<br />

CREATE ISSUES OF MORALITY<br />

<strong>The</strong>re is a clear moral issue with punish<strong>in</strong>g someone for carry<strong>in</strong>g out life-susta<strong>in</strong><strong>in</strong>g<br />

activities <strong>in</strong> public when there are no alternatives. People who are already suffer<strong>in</strong>g are<br />

be<strong>in</strong>g punished further for suffer<strong>in</strong>g.<br />

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Additionally, the crim<strong>in</strong>alization <strong>of</strong> homelessness is aimed at the visual ramifications <strong>of</strong><br />

homelessness, not the root causes. Not only does it fail to address the underly<strong>in</strong>g<br />

causes, but it further underm<strong>in</strong>es the challenges <strong>of</strong> homelessness.<br />

TAKING ACTION<br />

What Can Be Done?<br />

<strong>The</strong> trend <strong>of</strong> crim<strong>in</strong>aliz<strong>in</strong>g homelessness cont<strong>in</strong>ues to grow. Among the 188 cities<br />

reviewed <strong>in</strong> NCH’s report, the follow<strong>in</strong>g <strong>in</strong>creases were identified <strong>in</strong> crim<strong>in</strong>alization<br />

measures:<br />

<br />

<br />

<br />

7% <strong>in</strong>crease <strong>in</strong> prohibitions on begg<strong>in</strong>g or panhandl<strong>in</strong>g<br />

7% <strong>in</strong>crease <strong>in</strong> prohibitions on camp<strong>in</strong>g <strong>in</strong> particular public places<br />

10% <strong>in</strong>crease <strong>in</strong> prohibitions on loiter<strong>in</strong>g <strong>in</strong> particular public places<br />

By focus<strong>in</strong>g on revers<strong>in</strong>g the crim<strong>in</strong>alization <strong>of</strong> homelessness, the additional obstacles<br />

homeless people face can be removed from the already difficult task <strong>of</strong> help<strong>in</strong>g resolve<br />

homelessness.<br />

Many statewide Homeless Bill <strong>of</strong> Rights have passed or are be<strong>in</strong>g considered that<br />

provide alternatives to crim<strong>in</strong>alization and protection <strong>of</strong> the civil rights <strong>of</strong> people<br />

experienc<strong>in</strong>g homelessness.<br />

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PUBLICATIONS AND DOCUMENTS<br />

<br />

<br />

<br />

National Coalition for the Homeless - Share No More: <strong>The</strong> Crim<strong>in</strong>alization <strong>of</strong><br />

Efforts to Feed People <strong>in</strong> Need, Report 2014<br />

National Law Center on <strong>Homelessness</strong> & Poverty, National Coalition for the<br />

Homeless - Homes Not Handcuffs: <strong>The</strong> Crim<strong>in</strong>alization <strong>of</strong> <strong>Homelessness</strong> <strong>in</strong> U.S.<br />

Cities<br />

National Law Center on <strong>Homelessness</strong> & Poverty (NLCHP) - No Safe Place: <strong>The</strong><br />

Crim<strong>in</strong>alization <strong>of</strong> Homeless <strong>in</strong> U.S. Cities<br />

NCH LINKS<br />

<br />

<br />

<br />

Homeless Bill <strong>of</strong> Rights<br />

Hate Crimes Aga<strong>in</strong>st People Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

"You Don't Need a Home to Vote" Campaign<br />

Other Resources<br />

<br />

<br />

About the <strong>in</strong>tersection <strong>of</strong> the crim<strong>in</strong>alization <strong>of</strong> mental illness and homelessness<br />

Tools for stopp<strong>in</strong>g street harassment<br />

________<br />

Help Us End <strong>The</strong> Crim<strong>in</strong>alization <strong>of</strong> <strong>Homelessness</strong><br />

National Law Center on <strong>Homelessness</strong> and Poverty<br />

In response to a troubl<strong>in</strong>g <strong>in</strong>crease <strong>in</strong> laws that crim<strong>in</strong>alize homelessness the National<br />

Law Center on <strong>Homelessness</strong> and Poverty launched the Hous<strong>in</strong>g Not Handcuffs<br />

campaign to help combat this trend. <strong>The</strong> Hous<strong>in</strong>g Not Handcuffs campaign is centered<br />

around the belief that no homeless person should be penalized for simply carry<strong>in</strong>g out<br />

basic human functions and should be able to live with dignity.<br />

Whether you are an experienced advocate, a person experienc<strong>in</strong>g or who has<br />

experienced homelessness, a concerned neighbor, a small bus<strong>in</strong>ess owner, a<br />

government <strong>of</strong>ficial, or anyone <strong>in</strong> between, you can make a difference to this campaign.<br />

Endorse the Hous<strong>in</strong>g Not Handcuffs campaign today.<br />

<strong>Homelessness</strong> cont<strong>in</strong>ues to be a national crisis, affect<strong>in</strong>g millions <strong>of</strong> people each year,<br />

<strong>in</strong>clud<strong>in</strong>g a ris<strong>in</strong>g number <strong>of</strong> families. Homeless people, like all people, must engage <strong>in</strong><br />

activities such as sleep<strong>in</strong>g or sitt<strong>in</strong>g down <strong>in</strong> order to survive. Yet, <strong>in</strong> communities<br />

across the nation, these harmless, unavoidable behaviors are treated as crim<strong>in</strong>al<br />

activity under laws that crim<strong>in</strong>alize homelessness.<br />

<strong>Homelessness</strong> is caused by a severe shortage <strong>of</strong> affordable hous<strong>in</strong>g.<br />

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A lack <strong>of</strong> affordable hous<strong>in</strong>g is the lead<strong>in</strong>g cause <strong>of</strong> homelessness, and the problem is<br />

worsen<strong>in</strong>g. Ris<strong>in</strong>g rents, historically low vacancy rates, and the cont<strong>in</strong>ued decl<strong>in</strong>e <strong>of</strong><br />

federally subsidized hous<strong>in</strong>g have led to a 7.2 million unit shortage <strong>of</strong> affordable rental<br />

units available to our nation’s lowest <strong>in</strong>come renters. This means that for every 100<br />

extremely poor households <strong>in</strong> the country, only 31 will f<strong>in</strong>d affordable and available<br />

rental units.<br />

<strong>The</strong>re are fewer available shelter beds than homeless people <strong>in</strong> major cities across the<br />

nation. In some places, the gap between available space and human need is significant,<br />

leav<strong>in</strong>g hundreds or, <strong>in</strong> some cases, thousands <strong>of</strong> people with no choice but to struggle<br />

for survival <strong>in</strong> outdoor, public places.<br />

Despite the lack <strong>of</strong> affordable hous<strong>in</strong>g and shelter space, many cities have chosen to<br />

crim<strong>in</strong>ally punish people liv<strong>in</strong>g on the street for do<strong>in</strong>g what any human be<strong>in</strong>g must do to<br />

survive.<br />

Problems Arise when Cities turn to Crim<strong>in</strong>alization Measures<br />

Crim<strong>in</strong>alization measures do noth<strong>in</strong>g to address the underly<strong>in</strong>g causes <strong>of</strong> homelessness<br />

and, <strong>in</strong>stead, only worsen the problem. <strong>The</strong>re has been an <strong>in</strong>crease <strong>in</strong> laws<br />

crim<strong>in</strong>aliz<strong>in</strong>g homelessness as <strong>in</strong>dicated <strong>in</strong> the Law Center's latest report, Hous<strong>in</strong>g Not<br />

Handcuffs. While the <strong>in</strong>crease is seen for nearly every surveyed category <strong>of</strong><br />

crim<strong>in</strong>alization law, the most dramatic uptick has been <strong>in</strong> city-wide bans on fundamental<br />

human activities. This <strong>in</strong>crease <strong>in</strong> city-wide bans shows that the nature <strong>of</strong> crim<strong>in</strong>alization<br />

is chang<strong>in</strong>g and that cities are mov<strong>in</strong>g toward prohibit<strong>in</strong>g unavoidable, life susta<strong>in</strong><strong>in</strong>g<br />

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activities throughout entire communities rather than <strong>in</strong> specific areas, effectively<br />

crim<strong>in</strong>aliz<strong>in</strong>g a homeless person’s very existence.<br />

Crim<strong>in</strong>alization Questions Fundamental Rights<br />

Crim<strong>in</strong>alization laws raise important constitutional concerns, and courts across the<br />

country have found that many such laws violate the rights <strong>of</strong> homeless people. Courts<br />

have <strong>in</strong>validated or enjo<strong>in</strong>ed enforcement <strong>of</strong> crim<strong>in</strong>alization laws on the grounds that<br />

they violate constitutional protections such as the right to freedom <strong>of</strong> speech under the<br />

First Amendment, freedom from cruel and unusual punishment under the Eighth<br />

Amendment, and the right to due process <strong>of</strong> law guaranteed by the Fourteenth<br />

Amendment.<br />

Moreover, the crim<strong>in</strong>alization <strong>of</strong> homelessness violates <strong>in</strong>ternational human<br />

rights treaties to which the U.S. is a party. In 2014, the U.N. Human Rights Committee,<br />

review<strong>in</strong>g U.S. compliance under the International Covenant on Civil and Political<br />

Rights, found that the crim<strong>in</strong>alization <strong>of</strong> homelessness <strong>in</strong> the U.S. violated the treaty.<br />

Crim<strong>in</strong>alization Misuses Public Resources<br />

Us<strong>in</strong>g the crim<strong>in</strong>al justice system to address homelessness misuses police resources to<br />

address a social problem. This overuse <strong>of</strong> police to solve social problems has been<br />

criticized by many – <strong>in</strong>clud<strong>in</strong>g police <strong>of</strong>ficers – as contribut<strong>in</strong>g to the current climate <strong>of</strong><br />

tension between police and neighborhoods subjected to unnecessarily high levels <strong>of</strong><br />

police activity.<br />

Crim<strong>in</strong>alization is Cost Ineffective<br />

Crim<strong>in</strong>alization is the most expensive and least effective way <strong>of</strong> address<strong>in</strong>g<br />

homelessness. A grow<strong>in</strong>g body <strong>of</strong> research compar<strong>in</strong>g the cost <strong>of</strong> homelessness<br />

(<strong>in</strong>clud<strong>in</strong>g the cost <strong>of</strong> crim<strong>in</strong>alization) with the cost <strong>of</strong> provid<strong>in</strong>g hous<strong>in</strong>g to homeless<br />

people shows that hous<strong>in</strong>g is the most affordable option. With state and local budgets<br />

stretched to their limit, rational, cost-effective policies are needed – not <strong>in</strong>effective<br />

measures that waste precious taxpayer dollars.<br />

Crim<strong>in</strong>alization Laws Should Be Replaced with Constructive Solutions to End<strong>in</strong>g<br />

<strong>Homelessness</strong><br />

Crim<strong>in</strong>alization is not the answer to meet<strong>in</strong>g the needs <strong>of</strong> cities that are concerned<br />

about homelessness. <strong>The</strong>re are sensible, cost-effective, and humane solutions to<br />

homelessness, which a number <strong>of</strong> cities have pursued.<br />

________<br />

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Crim<strong>in</strong>alization <strong>of</strong> <strong>Homelessness</strong> Increases <strong>in</strong> U.S. Cities<br />

National Low Income Hous<strong>in</strong>g Coalition<br />

A report by the National Law Center on <strong>Homelessness</strong> and Poverty (NLCHP) found an<br />

<strong>in</strong>crease <strong>in</strong> the crim<strong>in</strong>alization <strong>of</strong> homelessness over the past 10 years <strong>in</strong> U.S. cities.<br />

NLCHP recommends more sensible, humane, and effective policies to address<br />

homelessness that range from repeal<strong>in</strong>g laws that crim<strong>in</strong>alize homelessness to<br />

expand<strong>in</strong>g access to affordable hous<strong>in</strong>g.<br />

Local governments <strong>in</strong>creas<strong>in</strong>gly face dw<strong>in</strong>dl<strong>in</strong>g resources, particularly for affordable<br />

hous<strong>in</strong>g, to contend with homelessness. Rather than focus on the root causes <strong>of</strong><br />

homelessness, many cities have enacted laws that make life-susta<strong>in</strong><strong>in</strong>g activities for the<br />

homeless, such as sleep<strong>in</strong>g <strong>in</strong> public spaces, illegal. <strong>The</strong>se laws represent a clear <strong>in</strong>tent<br />

to remove the homeless from public spaces, despite the lack <strong>of</strong> other options for<br />

homeless <strong>in</strong>dividuals.<br />

NLCHP surveyed the ord<strong>in</strong>ances <strong>of</strong> 187 cities for the last 10 years. Among these cities:<br />

• Thirty-three percent prohibit camp<strong>in</strong>g <strong>in</strong> public citywide, and 50% prohibit<br />

camp<strong>in</strong>g <strong>in</strong> particular public places.<br />

• Eighteen percent prohibit sleep<strong>in</strong>g <strong>in</strong> public citywide, and 27% prohibit sleep<strong>in</strong>g<br />

<strong>in</strong> particular public places.<br />

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• Thirty-n<strong>in</strong>e percent prohibit liv<strong>in</strong>g <strong>in</strong> vehicles.<br />

• Forty-seven percent prohibit sitt<strong>in</strong>g and ly<strong>in</strong>g down <strong>in</strong> particular public places.<br />

• Twenty-seven percent prohibit panhandl<strong>in</strong>g citywide, and 61% prohibit<br />

panhandl<strong>in</strong>g <strong>in</strong> particular public places.<br />

• Thirty-two percent have citywide prohibitions on loiter<strong>in</strong>g, loaf<strong>in</strong>g, and vagrancy,<br />

and 54% have similar prohibitions for specific public places.<br />

<strong>The</strong> prevalence <strong>of</strong> these laws, particularly citywide prohibitions, have dramatically<br />

<strong>in</strong>creased over the past 10 years. S<strong>in</strong>ce 2006, citywide bans on loiter<strong>in</strong>g, loaf<strong>in</strong>g, and<br />

vagrancy <strong>in</strong>creased by 88%, on sitt<strong>in</strong>g and ly<strong>in</strong>g down <strong>in</strong> certa<strong>in</strong> public places <strong>in</strong>creased<br />

by 52%, on panhandl<strong>in</strong>g grew by 43%, on camp<strong>in</strong>g <strong>in</strong>creased by 69%, and on sleep<strong>in</strong>g<br />

<strong>in</strong> public <strong>in</strong>creased by 31%.<br />

<strong>The</strong> report recommends repeal<strong>in</strong>g laws that crim<strong>in</strong>alize homelessness and tra<strong>in</strong><strong>in</strong>g law<br />

enforcement <strong>of</strong>ficials on how to respond to a homeless person with a mental health<br />

crisis to reduce the likelihood <strong>of</strong> them go<strong>in</strong>g to jail rather than gett<strong>in</strong>g treatment. <strong>The</strong><br />

report identifies the lack <strong>of</strong> affordable hous<strong>in</strong>g as the key issue driv<strong>in</strong>g homelessness.<br />

<strong>The</strong> report recommends strengthen<strong>in</strong>g tenant protections, <strong>in</strong>creas<strong>in</strong>g the m<strong>in</strong>imum<br />

wage, and expand<strong>in</strong>g the supply <strong>of</strong> hous<strong>in</strong>g affordable to the lowest <strong>in</strong>come<br />

households.<br />

________<br />

THE CRIMINALIZATION OF HOMELESSNESS:<br />

AN EXPLAINER<br />

Bidish Sarma, Jessica Brand | Jun 29, 2018<br />

Most even<strong>in</strong>gs, Aguirre Dick rides his bike about three miles from the streets <strong>of</strong> Waikiki<br />

<strong>in</strong> Honolulu to the slopes <strong>of</strong> a volcano, where he sleeps. If he doesn’t make that trek, he<br />

could be arrested. A 2014 law made it illegal to sit or lie down on the public sidewalks <strong>in</strong><br />

Waikiki. As a result <strong>of</strong> this law, those without homes, like Aguirre, live <strong>in</strong> constant fear <strong>of</strong><br />

be<strong>in</strong>g pushed <strong>in</strong>to the crim<strong>in</strong>al justice system simply because they are too poor to own<br />

or rent lodg<strong>in</strong>g.<br />

In San Diego, police arrested a pregnant Alexis Leftridge as she slept <strong>in</strong> her tent and<br />

jailed her for several days. Leftridge became homeless after los<strong>in</strong>g her nurs<strong>in</strong>g job <strong>in</strong><br />

2014 — without money for rent, she was evicted. To get out <strong>of</strong> jail, she agreed to an<br />

order to stay away from the area, but she now has so many that she does not know<br />

where to go. Accord<strong>in</strong>g to plead<strong>in</strong>gsfiled <strong>in</strong> a lawsuit aga<strong>in</strong>st the city, she is afraid she<br />

will be arrested for “walk<strong>in</strong>g along the wrong street.” She has subsequently given birth<br />

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to a baby boy and currently has a room at a shelter. But, because the shelter is with<strong>in</strong><br />

the “stay away” area, she is at risk <strong>of</strong> re-arrest.<br />

In Houston, Texas, Spencer Stevens became homeless <strong>in</strong> 2015 after los<strong>in</strong>g his job as a<br />

forklift operator. He has congestive heart failure, which prevents him from tak<strong>in</strong>g<br />

another manual labor job. Liv<strong>in</strong>g under the highway median, he cooks meals on his<br />

griddle. If legal challenges fail, he could be arrested for both liv<strong>in</strong>g and cook<strong>in</strong>g there.<br />

Houston has made it illegal to block a sidewalk, stand on a roadway median, sleep on<br />

public property or <strong>in</strong> a makeshift shelter, or have a heat<strong>in</strong>g device <strong>in</strong> public.<br />

Every day, law enforcement <strong>of</strong>ficers across the country issue tickets to those<br />

experienc<strong>in</strong>g homelessness as they engage <strong>in</strong> basic, life-susta<strong>in</strong><strong>in</strong>g behaviors, like<br />

sleep<strong>in</strong>g on the streets or cook<strong>in</strong>g a meal <strong>in</strong> public on a griddle. Prosecutors then<br />

frequently charge those <strong>in</strong>dividuals with crimes. By rely<strong>in</strong>g upon law enforcement to<br />

address an issue that should more appropriately be considered as fall<strong>in</strong>g with<strong>in</strong> the<br />

doma<strong>in</strong> <strong>of</strong> public health, communities are expend<strong>in</strong>g a tremendous amount <strong>of</strong> public<br />

money unnecessarily and <strong>in</strong>effectively, and exacerbat<strong>in</strong>g the underly<strong>in</strong>g causes <strong>of</strong><br />

homelessness. Below, we discuss the destructive and <strong>of</strong>ten devastat<strong>in</strong>g human and<br />

f<strong>in</strong>ancial costs <strong>of</strong> crim<strong>in</strong>aliz<strong>in</strong>g homelessness <strong>in</strong> America.<br />

1. <strong>Homelessness</strong> is a chronic problem.<br />

Experts believe that as many as two million people <strong>in</strong> the country experience<br />

homelessness at some po<strong>in</strong>t <strong>in</strong> a given year, with about 500,000 liv<strong>in</strong>g without a home<br />

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each night. About 15 percent <strong>of</strong> those are chronically homeless, mean<strong>in</strong>g they have<br />

been without a home for years.<br />

Racial m<strong>in</strong>orities comprise a significant percentage <strong>of</strong> the population experienc<strong>in</strong>g<br />

homelessness. While African Americans represent about 12.5 percent <strong>of</strong> the general<br />

population, they represent over 40 percent <strong>of</strong> the homeless population.<br />

In some communities, there has been a significant <strong>in</strong>crease <strong>in</strong> the population <strong>of</strong> Lat<strong>in</strong>os<br />

fac<strong>in</strong>g homelessness. Many experience acute fear or face unique obstacles as a result<br />

<strong>of</strong> their uncerta<strong>in</strong> legal status. Consider Hector, a homeless man <strong>in</strong> New York who does<br />

not utilize shelter services because he is afraid that he will be identified and then<br />

deported. He lives near the tra<strong>in</strong> tracks along with several others who have refused to<br />

enter shelters s<strong>in</strong>ce President Trump’s immigration crackdown.<br />

Military veterans confront homelessness at an alarm<strong>in</strong>g rate. More than 10 percent <strong>of</strong><br />

the adult homeless population has served <strong>in</strong> the military.<br />

Survivors <strong>of</strong> domestic violence also experience high rates <strong>of</strong> homelessness. A recent<br />

study <strong>in</strong> M<strong>in</strong>nesota showed that 35 percent <strong>of</strong> homeless women reported domestic<br />

abuse as a cause.<br />

A 2017 nationwide survey revealed that, on a given night, almost 41,000 people<br />

experienc<strong>in</strong>g homelessness were 24 years old or younger, 12 percent <strong>of</strong> whom were<br />

below age 18. Many <strong>of</strong> these young people have suffered significant trauma. Youth who<br />

identify as LGBTQ, have special needs or disabilities, or are pregnant or parent<strong>in</strong>g are<br />

also more likely to become homeless.<br />

Half <strong>of</strong> those experienc<strong>in</strong>g homelessness have a physical or mental disability, or both.<br />

2. <strong>The</strong> crim<strong>in</strong>alization <strong>of</strong> homelessness is grow<strong>in</strong>g.<br />

Hundreds <strong>of</strong> jurisdictions across the U.S. have crim<strong>in</strong>alized homelessness, and the<br />

trend shows no signs <strong>of</strong> abat<strong>in</strong>g. Laws crim<strong>in</strong>aliz<strong>in</strong>g homelessness have multiplied <strong>in</strong><br />

the last 10 years <strong>in</strong> 187 studied cities. <strong>The</strong> report calls out several jurisdictions <strong>in</strong> a “Hall<br />

<strong>of</strong> Shame” section, <strong>in</strong>clud<strong>in</strong>g Honolulu, Denver, and Dallas.<br />

In 2016, Honolulu adopted a spate <strong>of</strong> laws that target homeless people, and police<br />

ramped up enforcement <strong>of</strong> these “quality <strong>of</strong> life” ord<strong>in</strong>ances. Why? Pressure from the<br />

bus<strong>in</strong>ess and tourism <strong>in</strong>dustry, which <strong>in</strong> the past has funded airfare to the ma<strong>in</strong>land for<br />

homeless people who came to Hawaii.<br />

In Denver, the state’s 76 largest cities have, as a group, passed 351 ord<strong>in</strong>ances that<br />

target homeless people, <strong>in</strong>clud<strong>in</strong>g bans on camp<strong>in</strong>g and bans on shar<strong>in</strong>g food outside.<br />

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In Dallas, police issued 11,000 “sleep<strong>in</strong>g <strong>in</strong> public” citations between 2011 and 2015.<br />

Police also stopped people for loiter<strong>in</strong>g, panhandl<strong>in</strong>g, and for sleep<strong>in</strong>g <strong>in</strong> public spaces<br />

<strong>in</strong> the city — even though the city lacks sufficient shelter beds.<br />

In late 2017 <strong>in</strong> Portland, Oregon, the Columbia Sportswear CEO called for more polic<strong>in</strong>g<br />

<strong>of</strong> the homeless population after mov<strong>in</strong>g his company headquarters downtown. In<br />

response, the head <strong>of</strong> the Bus<strong>in</strong>ess for a Better Portland urged the city to adopt “holistic<br />

and collaborative solutions” to systemically address the underly<strong>in</strong>g causes <strong>of</strong><br />

homelessness. Activists also fired back by protest<strong>in</strong>g the city’s “no-sit” laws <strong>in</strong> front <strong>of</strong><br />

Columbia Sportswear’s downtown store, forc<strong>in</strong>g the company to close for the day.<br />

3.<br />

Crim<strong>in</strong>aliz<strong>in</strong>g<br />

homelessness<br />

does noth<strong>in</strong>g<br />

to address its<br />

root causes.<br />

<strong>The</strong> causes <strong>of</strong><br />

homelessness<br />

vary, but<br />

experts largely<br />

agree that both<br />

structural and<br />

<strong>in</strong>dividual<br />

factors play a<br />

role. Structural<br />

factors <strong>in</strong>clude<br />

poverty,<br />

<strong>in</strong>adequate<br />

affordable<br />

hous<strong>in</strong>g, <strong>in</strong>adequate access to mean<strong>in</strong>gful public assistance, decreased availability <strong>of</strong><br />

mental health care, and discrim<strong>in</strong>ation.<br />

In Detroit, for example, advocates report that an <strong>in</strong>creas<strong>in</strong>g number <strong>of</strong> families<br />

experience homelessness because the city lacks affordable hous<strong>in</strong>g and has a high rate<br />

<strong>of</strong> evictions. About 3,000 children experience homelessness each year <strong>in</strong> Detroit.<br />

Similarly, <strong>in</strong> San Diego, skyrocket<strong>in</strong>g rents, low vacancy rates, and a severe shortage <strong>of</strong><br />

affordable hous<strong>in</strong>g have placed the city at a “tipp<strong>in</strong>g po<strong>in</strong>t.” Over the past year, there<br />

has been a 14 percent <strong>in</strong>crease <strong>in</strong> people liv<strong>in</strong>g on the streets <strong>in</strong> San Diego. This<br />

situation is likely to grow worse, as California has cut $200 million from the city’s<br />

affordable hous<strong>in</strong>g programs over the past six years.<br />

<strong>The</strong>re are also personal factors that can cause homelessness, <strong>in</strong>clud<strong>in</strong>g traumatic<br />

events, family crises, and the onset <strong>of</strong> mental or physical problems.<br />

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In an <strong>in</strong>terview with NPR, David Pirtle described why, even when temperatures dropped<br />

below freez<strong>in</strong>g, he stayed on the streets. Suffer<strong>in</strong>g from schizophrenia, he feared large<br />

crowds and experienced paranoia, so he avoided shelters: “All I can say is that my fear<br />

<strong>of</strong> the unknown, <strong>of</strong> what might be wait<strong>in</strong>g for me at that shelter, was worse than my fear<br />

<strong>of</strong> the known risk, you know, <strong>of</strong> stay<strong>in</strong>g out on the street.”<br />

Dorothy Edwards spent eight years on the streets <strong>of</strong> Pasadena, California, where she<br />

slept <strong>in</strong> alleys and ate food out <strong>of</strong> Dumpsters, smok<strong>in</strong>g meth to ward <strong>of</strong>f depression.<br />

Dur<strong>in</strong>g that time, she was repeatedly sexually assaulted. She checked herself <strong>in</strong>to a<br />

psychiatric ward on numerous occasions, but kept return<strong>in</strong>g to the streets. It took eight<br />

years for counselors to diagnose her with depression and post-traumatic stress<br />

disorder. Now receiv<strong>in</strong>g adequate treatment, she lives <strong>in</strong> an apartment with her dog and<br />

is actively look<strong>in</strong>g for a job.<br />

4. <strong>The</strong>se laws crim<strong>in</strong>alize what for many is life-susta<strong>in</strong><strong>in</strong>g behavior.<br />

Instead <strong>of</strong> address<strong>in</strong>g the root causes <strong>of</strong> homelessness, states and cities have adopted<br />

hundreds <strong>of</strong> laws mak<strong>in</strong>g it harder for homeless people to survive.<br />

Camp<strong>in</strong>g, sleep<strong>in</strong>g, or ly<strong>in</strong>g down <strong>in</strong> public<br />

Accord<strong>in</strong>g to a 2014 analysis <strong>of</strong> 187 American cities by the National Law Center on<br />

<strong>Homelessness</strong> & Poverty, over half prohibited camp<strong>in</strong>g, sitt<strong>in</strong>g, or ly<strong>in</strong>g down <strong>in</strong> certa<strong>in</strong><br />

areas, and a third banned these activities citywide. Cities <strong>of</strong>ten outlaw these practices<br />

without provid<strong>in</strong>g additional shelter beds..<br />

In Houston, a city ord<strong>in</strong>ance, enacted allegedly for “safety,” makes it illegal to sleep <strong>in</strong> a<br />

tent, box, or other makeshift shelter on public property. A federal district judge issued a<br />

temporary restra<strong>in</strong><strong>in</strong>g order aga<strong>in</strong>st the ban, writ<strong>in</strong>g that those <strong>in</strong>dividuals targeted by<br />

the ord<strong>in</strong>ance are “<strong>in</strong>voluntarily <strong>in</strong> public, harmlessly attempt<strong>in</strong>g to shelter themselves —<br />

an act they cannot realistically forgo, and that is <strong>in</strong>tegral to their status as unsheltered<br />

homeless <strong>in</strong>dividuals.” But <strong>in</strong> December, the judge lifted her order.<br />

In Dallas, one <strong>in</strong>dividual, Sarge, has been ticketed repeatedly for sleep<strong>in</strong>g <strong>in</strong> public,<br />

someth<strong>in</strong>g he must do to survive. He estimates that he has received around 75 tickets<br />

over the years.<br />

In Aust<strong>in</strong>, a man named Ross reports be<strong>in</strong>g “herded like cattle” because <strong>of</strong> the city’s<br />

anti-camp<strong>in</strong>g law. “<strong>The</strong>y have a law say<strong>in</strong>g you can’t sit down. So if you don’t have<br />

anywhere to live and all the homeless shelters are full, then where do you go? Do you<br />

walk <strong>in</strong> a circle 24 hours a day?<br />

You have to sleep and if you slow down to sleep you go to jail for it, which I’ve done,<br />

that’s pretty much where you get to sleep.”<br />

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Begg<strong>in</strong>g <strong>in</strong> Public (Panhandl<strong>in</strong>g)<br />

Accord<strong>in</strong>g to the 2014 National Law Center on <strong>Homelessness</strong> & Poverty report, there<br />

was a 25 percent <strong>in</strong>crease <strong>in</strong> anti-panhandl<strong>in</strong>g laws between 2011 and 2014.<br />

In 2014 <strong>in</strong> Denver, police arrested 300 people for panhandl<strong>in</strong>g. In New York, police<br />

arrested a homeless man after he asked a police <strong>of</strong>ficer if he had a dollar to spare.<br />

Jason Metts <strong>of</strong> Fayetteville, North Carol<strong>in</strong>a, reports that he is disabled and can’t work.<br />

“To survive,” he told a reporter, he has started panhandl<strong>in</strong>g. Police have arrested him<br />

seven times. “I’m not steal<strong>in</strong>g, I’m not robb<strong>in</strong>g people, and I’m not approach<strong>in</strong>g<br />

anybody. Those that give to me roll down their w<strong>in</strong>dows, I’m not scar<strong>in</strong>g them,” Metts<br />

stated.<br />

Encroachment — stor<strong>in</strong>g property <strong>in</strong> public ways<br />

Laws across the country make it illegal for<br />

<strong>in</strong>dividuals to place property on public ways. For<br />

those with no home, there is no other place to<br />

store their belong<strong>in</strong>gs.<br />

In San Diego, police cited Army veteran Eric<br />

Arundel several times after he placed his tarp,<br />

bedd<strong>in</strong>g, cloth<strong>in</strong>g, medication, and toiletries on the<br />

sidewalk.<br />

He suffers from pneumonia and uses the tarp to stay warm. Also <strong>in</strong> San Diego, police<br />

cited Jeff Hayes for encroachment, even though he had nowhere to store his<br />

belong<strong>in</strong>gs. Hayes became homeless as a result <strong>of</strong> suffer<strong>in</strong>g from multiple sclerosis,<br />

which made it impossible for him to work.<br />

He had no crim<strong>in</strong>al record until receiv<strong>in</strong>g the encroachment charge. He then missed his<br />

court date because he was <strong>in</strong> the hospital for sepsis. Both Arundel and Hayes are<br />

pla<strong>in</strong>tiffs <strong>in</strong> a federal lawsuit challeng<strong>in</strong>g the law.<br />

Liv<strong>in</strong>g <strong>in</strong> Vehicles<br />

City laws <strong>of</strong>ten preclude people from sleep<strong>in</strong>g <strong>in</strong> their parked cars dur<strong>in</strong>g certa<strong>in</strong> hours<br />

<strong>of</strong> the night.<br />

Nearly 7,000 people live <strong>in</strong> their cars <strong>in</strong> Los Angeles, but the city recently enacted<br />

regulations bann<strong>in</strong>g park<strong>in</strong>g “for habitation purposes” on residential streets from 9 p.m.<br />

to 6 a.m. New ord<strong>in</strong>ances also make it illegal to live <strong>in</strong> a vehicle parked with<strong>in</strong> a block <strong>of</strong><br />

schools, daycare facilities, and parks. Santa Monica, Malibu, and Culver City have<br />

similar bans <strong>in</strong> place, as does San Diego.<br />

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Food Shar<strong>in</strong>g<br />

Controversial city ord<strong>in</strong>ances ban organizations from feed<strong>in</strong>g people <strong>in</strong> public, claim<strong>in</strong>g<br />

that do<strong>in</strong>g so constitutes a public health and safety risk.<br />

Police arrested seven people <strong>in</strong> Tampa, Florida, for distribut<strong>in</strong>g food to homeless people<br />

without a permit. Members <strong>of</strong> the Tampa-based organization Food Not Bombs stated<br />

that the arrests prove the city is crim<strong>in</strong>aliz<strong>in</strong>g compassion.<br />

In response to a hepatitis A outbreak <strong>in</strong> San Diego, the El Cajon City Council passed an<br />

emergency ord<strong>in</strong>ance prohibit<strong>in</strong>g food distribution on any city-owned property. In<br />

November, activists handed out 100 bagged lunches, call<strong>in</strong>g the ord<strong>in</strong>ance “a punitive<br />

measure to dehumanize and crim<strong>in</strong>alize the homeless.” <strong>The</strong> city f<strong>in</strong>ally lifted the ban <strong>in</strong><br />

late January.<br />

In Atlanta, on the Sunday before Thanksgiv<strong>in</strong>g 2017, two Food Not Bombs activists<br />

went to a local park to hand out food to the homeless, as they do every Sunday. But on<br />

that day, police ticketed them, cit<strong>in</strong>g a rarely enforced law requir<strong>in</strong>g organizations to<br />

obta<strong>in</strong> a permit before distribut<strong>in</strong>g food. Accord<strong>in</strong>g to a flier distributed by the Atlanta<br />

Department <strong>of</strong> Public Safety (that cites no actual evidence), enforcement is necessary<br />

because “many people become dependent on these activities, lead<strong>in</strong>g them to stay on<br />

the streets <strong>in</strong>stead <strong>of</strong> seek<strong>in</strong>g the help and support they truly need.”<br />

5. Laws crim<strong>in</strong>aliz<strong>in</strong>g homelessness make the problem worse.<br />

In addition to be<strong>in</strong>g unfair and <strong>of</strong>ten <strong>in</strong>humane, these laws exacerbate the problems<br />

they purport to address.<br />

Individuals who are saddled with crim<strong>in</strong>al records for engag<strong>in</strong>g <strong>in</strong> survival activities like<br />

sleep<strong>in</strong>g on the street face steeper challenges f<strong>in</strong>d<strong>in</strong>g jobs, hous<strong>in</strong>g, or other benefits<br />

like food stamps, thus perpetuat<strong>in</strong>g the cycle <strong>of</strong> homelessness. Under federal law,<br />

people who have spent more than 90 days <strong>in</strong>carcerated lose their “chronic<br />

homelessness” status and are no longer a priority for permanent hous<strong>in</strong>g.<br />

Stay-away orders—<strong>of</strong>ten issued alongside tickets for sleep<strong>in</strong>g <strong>in</strong> public—also keep<br />

people from access<strong>in</strong>g social services that they urgently need. In San Diego, for<br />

example, most social service providers are downtown. But police regularly issue stay<br />

away orders from these locations to those found sleep<strong>in</strong>g on the street. This means<br />

they can’t get food stamps or other assistance without risk<strong>in</strong>g arrest.<br />

Similarly, stay-away orders cause people to lose touch with service providers who are<br />

help<strong>in</strong>g them f<strong>in</strong>d hous<strong>in</strong>g. Accord<strong>in</strong>g to one such service provider <strong>in</strong> Baltimore, when<br />

homeless people seek<strong>in</strong>g hous<strong>in</strong>g “are forced out <strong>of</strong> their (outdoor) home bases and<br />

seek refuge <strong>in</strong> other parts <strong>of</strong> town, people <strong>of</strong>ten lose touch with the po<strong>in</strong>ts <strong>of</strong> contact we<br />

have for them. Thus, they lose their long-term hous<strong>in</strong>g opportunity.”<br />

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<strong>The</strong>se charges <strong>of</strong>ten carry f<strong>in</strong>es that people cannot pay—and unpaid f<strong>in</strong>es eventually<br />

lead to jail time. In Dallas, for example, citations for sleep<strong>in</strong>g <strong>in</strong> public <strong>of</strong>ten carry $150-<br />

$300 tickets. Most homeless <strong>in</strong>dividuals cannot afford these f<strong>in</strong>es, and may, as a result,<br />

skip court dates. Many also miss court because they have no address to receive court<br />

notices, or because they lack money for transportation. Miss<strong>in</strong>g court can lead to arrest<br />

warrants, more charges and jail, thus driv<strong>in</strong>g them deeper <strong>in</strong>to the crim<strong>in</strong>al justice<br />

system.<br />

6.Crim<strong>in</strong>aliz<strong>in</strong>g homelessness is expensive.<br />

Studies show that it costs more to jail those who are homeless than to provide them<br />

with shelter. On average, one day <strong>in</strong> jail costs $87, whereas a shelter bed costs $28.<br />

And that, <strong>in</strong> turn, diverts money from implement<strong>in</strong>g effective solutions. In San Diego,<br />

homelessness is a serious problem. But, while <strong>of</strong>ficials focus on ticket<strong>in</strong>g and jail<strong>in</strong>g<br />

people, they neglect to address the root causes <strong>of</strong> homelessness, such as an<br />

<strong>in</strong>adequate supply <strong>of</strong> affordable hous<strong>in</strong>g. This negligence was on full display dur<strong>in</strong>g the<br />

hepatitis A outbreak that killed at least 16 people and caused over 400 to get sick.<br />

7.Crim<strong>in</strong>aliz<strong>in</strong>g<br />

homelessness may be<br />

unconstitutional.<br />

Aside from be<strong>in</strong>g<br />

counterproductive, there’s<br />

ample evidence that<br />

crim<strong>in</strong>aliz<strong>in</strong>g homelessness<br />

violates the Constitution.<br />

<strong>The</strong> First Amendment<br />

Freedom <strong>of</strong> Expression: In<br />

2015, <strong>in</strong> Reed v. Gilbert, the<br />

Supreme Court struck down a<br />

ban on the public display <strong>of</strong><br />

signs for religious services,<br />

rul<strong>in</strong>g that laws regulat<strong>in</strong>g the<br />

content <strong>of</strong> signs are<br />

presumptively unconstitutional.<br />

Rely<strong>in</strong>g on that case, the<br />

Seventh Circuit and other federal district courts have struck down panhandl<strong>in</strong>g laws <strong>in</strong><br />

Colorado, Florida, Ill<strong>in</strong>ois, and Massachusetts, f<strong>in</strong>d<strong>in</strong>g that they impermissibly regulate<br />

expressive conduct.<br />

Fundamental Right To Travel: In Florida <strong>in</strong> 1992, a Federal District Court declared<br />

Miami’s sit-sleep-lie laws a violation <strong>of</strong> the right to travel, writ<strong>in</strong>g that, “Prevent<strong>in</strong>g<br />

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homeless <strong>in</strong>dividuals from perform<strong>in</strong>g activities that are ‘necessities <strong>of</strong> life,’ such as<br />

sleep<strong>in</strong>g, <strong>in</strong> any public place when they have nowhere else to go, effectively penalizes<br />

migration.”<br />

<strong>The</strong> Eighth Amendment<br />

Cruel and Unusual Punishment: In 2006, the N<strong>in</strong>th Circuit Court <strong>of</strong> Appeals struck<br />

down Los Angeles’s city ord<strong>in</strong>ance prohibit<strong>in</strong>g sleep<strong>in</strong>g, sitt<strong>in</strong>g, or ly<strong>in</strong>g on the street at<br />

any time <strong>of</strong> the day. <strong>The</strong> court ruled that the ord<strong>in</strong>ance unconstitutionally crim<strong>in</strong>alized<br />

unavoidable conduct. <strong>The</strong> city had a major hous<strong>in</strong>g shortage and an <strong>in</strong>adequate supply<br />

<strong>of</strong> shelter beds. <strong>Homelessness</strong>, the court held, is “a chronic state that may have been<br />

acquired ‘<strong>in</strong>nocently or <strong>in</strong>voluntarily.” Thus punish<strong>in</strong>g people for sleep<strong>in</strong>g on the<br />

streets—an <strong>in</strong>evitable consequence—violated the Eighth Amendment.<br />

<strong>The</strong> Fourteenth Amendment<br />

Vagueness: Courts have struck down anti-loiter<strong>in</strong>g laws as unconstitutionally vague. For<br />

example, <strong>in</strong> a 1972 Supreme Court decision, the court compla<strong>in</strong>ed that, because <strong>of</strong> its<br />

unspecific language, an ord<strong>in</strong>ance <strong>in</strong> Jacksonville, Florida, placed “almost unfettered<br />

discretion <strong>in</strong> the hands <strong>of</strong> the police.”<br />

Attorneys are challeng<strong>in</strong>g San Diego’s encroachment laws, orig<strong>in</strong>ally enacted to force<br />

people to remove trash b<strong>in</strong>s from sidewalks. However, police are us<strong>in</strong>g the law to force<br />

the homeless to leave public places. Attorneys are argu<strong>in</strong>g that the law is<br />

unconstitutionally vague because it provides almost no notice for what is crim<strong>in</strong>al —<br />

mak<strong>in</strong>g it potentially illegal to even place a bag on the sidewalk for just a moment.<br />

Equal Protection: In response to an “emergency” homeless street sweep <strong>of</strong><br />

encampments, the ACLU <strong>of</strong> Indiana recently filed a lawsuit aga<strong>in</strong>st the city <strong>of</strong><br />

Indianapolis. <strong>The</strong> lawsuit alleges that the city targets homeless people while exempt<strong>in</strong>g<br />

others, rais<strong>in</strong>g due process and equal protection concerns.<br />

8.Prosecutors and state legislators can choose to stop crim<strong>in</strong>aliz<strong>in</strong>g<br />

homelessness.<br />

Prosecutors can refuse to charge for violations <strong>of</strong> laws that specifically target the<br />

homeless population, like bans on camp<strong>in</strong>g and panhandl<strong>in</strong>g. In Spokane, Wash<strong>in</strong>gton,<br />

for example, the city and district attorneys have embraced <strong>in</strong>itiatives to dismiss citations<br />

for <strong>of</strong>fenses that homeless people <strong>in</strong>cur when engag<strong>in</strong>g <strong>in</strong> life-susta<strong>in</strong><strong>in</strong>g activities <strong>in</strong><br />

exchange for commitments to utilize hous<strong>in</strong>g and social services.<br />

Prosecutors can side with those challeng<strong>in</strong>g the constitutionality <strong>of</strong> laws crim<strong>in</strong>aliz<strong>in</strong>g<br />

homelessness. In 2015, the Department <strong>of</strong> Justice filed a “statement <strong>of</strong> <strong>in</strong>terest” argu<strong>in</strong>g<br />

that Idaho’s laws crim<strong>in</strong>aliz<strong>in</strong>g sleep<strong>in</strong>g <strong>in</strong> public were unconstitutional. “It should be<br />

uncontroversial that punish<strong>in</strong>g conduct that is a universal and unavoidable consequence<br />

<strong>of</strong> be<strong>in</strong>g human violates the Eighth Amendment. … If a person literally has nowhere<br />

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else to go, then enforcement <strong>of</strong> the anti-camp<strong>in</strong>g ord<strong>in</strong>ance aga<strong>in</strong>st that person<br />

crim<strong>in</strong>alizes her for be<strong>in</strong>g homeless.”<br />

Prosecutors can also champion homeless courts and diversion programs, which allow<br />

people to avoid crim<strong>in</strong>al charges after tak<strong>in</strong>g life-skills classes or sign<strong>in</strong>g up for social<br />

services. In Seattle and Santa Fe, <strong>of</strong>ficials have implemented a Law Enforcement<br />

Assisted Diversion (LEAD) program that places people <strong>in</strong> treatment programs prearrest.<br />

Prosecutors can agree to dismiss outstand<strong>in</strong>g warrants for unpaid f<strong>in</strong>es and quality-<strong>of</strong>life<br />

<strong>of</strong>fenses. In Los Angeles, <strong>in</strong> 2015, the city attorney agreed to do just that if people<br />

accepted social services, job tra<strong>in</strong><strong>in</strong>g, and drug and alcohol treatment. His <strong>of</strong>fice put<br />

together cl<strong>in</strong>ics to help the homeless population participate.<br />

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<strong>The</strong> most straightforward path to end<strong>in</strong>g the crim<strong>in</strong>alization <strong>of</strong> homelessness runs<br />

through state legislatures. State and local <strong>of</strong>ficials should refra<strong>in</strong> from pass<strong>in</strong>g new laws<br />

that target homeless <strong>in</strong>dividuals, and they should repeal exist<strong>in</strong>g laws that crim<strong>in</strong>alize<br />

life-susta<strong>in</strong><strong>in</strong>g and necessary behaviors.<br />

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IX. Traditional Solutions<br />

Hous<strong>in</strong>g Affordability and <strong>Homelessness</strong><br />

National Alliance to End <strong>Homelessness</strong><br />

<strong>The</strong> nation is currently fac<strong>in</strong>g one <strong>of</strong> the most severe affordable hous<strong>in</strong>g crises <strong>in</strong><br />

history. Not surpris<strong>in</strong>gly, those liv<strong>in</strong>g <strong>in</strong> poverty are the most significantly affected.<br />

In the 1970s,<br />

communities had<br />

plenty <strong>of</strong> affordable<br />

hous<strong>in</strong>g. That meant<br />

that when a family or<br />

<strong>in</strong>dividual experienced<br />

a crisis and lost<br />

hous<strong>in</strong>g, they could<br />

quickly f<strong>in</strong>d another<br />

place to live. But by the<br />

mid-1980s, a shr<strong>in</strong>k<strong>in</strong>g<br />

supply <strong>of</strong> low-cost<br />

hous<strong>in</strong>g resulted, and<br />

the comb<strong>in</strong>ation <strong>of</strong><br />

ris<strong>in</strong>g rents and slow,<br />

stagnant wage growth<br />

for lower-<strong>in</strong>come<br />

people has cont<strong>in</strong>ued<br />

and worsened.<br />

at risk <strong>of</strong> hous<strong>in</strong>g <strong>in</strong>stability and homelessness.<br />

Today, 11<br />

million extremely low<strong>in</strong>come<br />

households<br />

pay at least half <strong>of</strong> their<br />

<strong>in</strong>come toward<br />

hous<strong>in</strong>g, putt<strong>in</strong>g them<br />

<strong>The</strong> Solution to <strong>Homelessness</strong>: Hous<strong>in</strong>g<br />

<strong>The</strong> solution to homelessness is straightforward: hous<strong>in</strong>g. By connect<strong>in</strong>g people<br />

experienc<strong>in</strong>g homelessness to hous<strong>in</strong>g and services, they have a platform from which<br />

they can address other areas that may have contributed to their homelessness, such as<br />

employment, health, and substance abuse.<br />

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Homeless Assistance Programs<br />

<strong>The</strong>re are two homelessness-focused hous<strong>in</strong>g models that have been demonstrated to<br />

effectively end homelessness. <strong>The</strong>y are:<br />

<br />

<br />

Permanent Supportive Hous<strong>in</strong>g: Permanent supportive hous<strong>in</strong>g is long-term<br />

rental assistance and supportive services. It is targeted to <strong>in</strong>dividuals and<br />

families with chronic illnesses, disabilities, mental health issues, or substance<br />

use disorders who have experienced long-term or repeated homelessness.<br />

Rapid Re-Hous<strong>in</strong>g: Rapid re-hous<strong>in</strong>g provides short-term rental assistance and<br />

services. <strong>The</strong> goals are to help people obta<strong>in</strong> hous<strong>in</strong>g quickly, <strong>in</strong>crease selfsufficiency,<br />

and stay housed.<br />

Public Hous<strong>in</strong>g and Voucher Programs<br />

Adm<strong>in</strong>istered by HUD, public hous<strong>in</strong>g and voucher programs provide decent and safe<br />

affordable hous<strong>in</strong>g for low-<strong>in</strong>come people and play a critical role <strong>in</strong> reduc<strong>in</strong>g<br />

homelessness.<br />

<br />

<br />

Hous<strong>in</strong>g Choice Voucher Program (Commonly Known As “Section 8“) has<br />

become the dom<strong>in</strong>ant form <strong>of</strong> federal hous<strong>in</strong>g assistance. <strong>The</strong> program, which<br />

provides vouchers to low-<strong>in</strong>come households to help them pay for hous<strong>in</strong>g <strong>in</strong> the<br />

private market, has been found to sharply reduce homelessness.<br />

Public Hous<strong>in</strong>g is federally-funded hous<strong>in</strong>g that is rented at subsidized rates to<br />

eligible low-<strong>in</strong>come families, the elderly, and persons with disabilities.<br />

While both public hous<strong>in</strong>g and hous<strong>in</strong>g vouchers are proven to end homelessness, only<br />

one <strong>in</strong> four households that are eligible for such assistance receive it due to lack<br />

<strong>of</strong> fund<strong>in</strong>g.<br />

Tackl<strong>in</strong>g the Affordable Hous<strong>in</strong>g Crisis<br />

In many places across America, there is simply not enough available affordable<br />

hous<strong>in</strong>g. Without this hous<strong>in</strong>g stock, many homeless Americans are likely to cont<strong>in</strong>ue to<br />

cycle <strong>in</strong> and out <strong>of</strong> homelessness.<br />

<strong>The</strong> priority now must be to expand the supply <strong>of</strong> affordable hous<strong>in</strong>g. To do this, there is<br />

a need to <strong>in</strong>crease HUD’s ability to serve and house low-<strong>in</strong>come <strong>in</strong>dividuals.<br />

________<br />

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Hous<strong>in</strong>g First<br />

Hous<strong>in</strong>g First is a relatively recent <strong>in</strong>novation <strong>in</strong> human service programs<br />

and social policy regard<strong>in</strong>g treatment <strong>of</strong> the homeless and is an alternative to a system<br />

<strong>of</strong> emergency shelter/transitional hous<strong>in</strong>g progressions. Rather than mov<strong>in</strong>g homeless<br />

<strong>in</strong>dividuals through different "levels" <strong>of</strong> hous<strong>in</strong>g, whereby each level moves them closer<br />

to "<strong>in</strong>dependent hous<strong>in</strong>g" (for example: from the streets to a public shelter, and from a<br />

public shelter to a transitional hous<strong>in</strong>g program, and from there to their own apartment<br />

<strong>in</strong> the community), Hous<strong>in</strong>g First moves the homeless <strong>in</strong>dividual or household<br />

immediately from the streets or homeless shelters <strong>in</strong>to their own accommodation. "<br />

Hous<strong>in</strong>g First approaches are based on the concept that a homeless <strong>in</strong>dividual or<br />

household's first and primary need is to obta<strong>in</strong> stable hous<strong>in</strong>g, and that other issues that<br />

may affect the household can and should be addressed once hous<strong>in</strong>g is obta<strong>in</strong>ed. In<br />

contrast, many other programs operate from a model <strong>of</strong> "hous<strong>in</strong>g read<strong>in</strong>ess" — that is,<br />

that an <strong>in</strong>dividual or household must address other issues that may have led to the<br />

episode <strong>of</strong> homelessness prior to enter<strong>in</strong>g hous<strong>in</strong>g.<br />

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General Pr<strong>in</strong>ciples<br />

Hous<strong>in</strong>g First is an approach that <strong>of</strong>fers permanent, affordable hous<strong>in</strong>g as quickly as<br />

possible for <strong>in</strong>dividuals and families experienc<strong>in</strong>g homelessness, and then provides the<br />

supportive services and connections to the community-based supports people need to<br />

keep their hous<strong>in</strong>g and avoid return<strong>in</strong>g to homelessness. <strong>The</strong> pr<strong>in</strong>ciples beh<strong>in</strong>d this<br />

approach are:<br />

1. Move people <strong>in</strong>to hous<strong>in</strong>g directly from streets and shelters without preconditions<br />

<strong>of</strong> treatment acceptance or compliance;<br />

2. <strong>The</strong> provider is obligated to br<strong>in</strong>g robust support services to the hous<strong>in</strong>g. <strong>The</strong>se<br />

services are predicated on assertive engagement, not coercion;<br />

3. Cont<strong>in</strong>ued tenancy is not dependent on participation <strong>in</strong> services;<br />

4. Units targeted to most disabled and vulnerable homeless members <strong>of</strong> the<br />

community;<br />

5. Embraces harm-reduction approach to addictions rather than mandat<strong>in</strong>g<br />

abst<strong>in</strong>ence. At the same time, the provider must be prepared to support resident<br />

commitment to recovery;<br />

6. Residents must have leases and tenant protections under the law;<br />

7. Can be implemented as either a project-based or scattered site model.<br />

History and Evolution<br />

In Los Angeles, California <strong>in</strong> 1988, the "Hous<strong>in</strong>g First" Program for families was<br />

launched at Beyond Shelter by Tanya Tull <strong>in</strong> response to a sharp <strong>in</strong>crease <strong>in</strong> the<br />

number <strong>of</strong> homeless families with children. <strong>The</strong> "hous<strong>in</strong>g first" approach for families<br />

<strong>in</strong>cludes <strong>in</strong>-depth screen<strong>in</strong>g and assessment for child safety. Families should not be<br />

relocated to rental hous<strong>in</strong>g if there are <strong>in</strong>dicators that a child might be <strong>in</strong> danger. In<br />

"hous<strong>in</strong>g first" for families, services are available before, dur<strong>in</strong>g, and after relocation to<br />

rental hous<strong>in</strong>g - but engagement is not a requirement for participation. Unfortunately the<br />

"hous<strong>in</strong>g first" philosophy was <strong>of</strong>ten mis<strong>in</strong>terpreted <strong>in</strong> later years and, today, many<br />

government programs promote faulty application <strong>of</strong> "hous<strong>in</strong>g first." For households with<br />

children, appropriate services and monitor<strong>in</strong>g may be delivered through home visits,<br />

outpatient treatment, or l<strong>in</strong>k<strong>in</strong>g to appropriate services <strong>in</strong> the community at-large.<br />

In 1992 Dr. Sam Tsemberis, a faculty member <strong>of</strong> the Department <strong>of</strong> Psychiatry <strong>of</strong><br />

the New York University School <strong>of</strong> Medic<strong>in</strong>e, founded Pathways to Hous<strong>in</strong>g <strong>in</strong> New York<br />

City. Hous<strong>in</strong>g First for the chronically homeless is premised on the notion that hous<strong>in</strong>g<br />

is a basic human right, and so should not be denied to anyone, even if they are abus<strong>in</strong>g<br />

alcohol or other substances. <strong>The</strong> Hous<strong>in</strong>g First model, thus, is philosophically <strong>in</strong><br />

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contrast to models that require the homeless to abjure substance-abuse and seek<br />

treatment <strong>in</strong> exchange for hous<strong>in</strong>g.<br />

Hous<strong>in</strong>g First, when supported by the United States Department <strong>of</strong> Hous<strong>in</strong>g and Urban<br />

Development, does not only provide hous<strong>in</strong>g. <strong>The</strong> model, used by nonpr<strong>of</strong>it agencies<br />

throughout America, also provides wraparound case management services to the<br />

tenants. This case management provides stability for homeless <strong>in</strong>dividuals, which<br />

<strong>in</strong>creases their success. It allows for accountability and promotes self-sufficiency. <strong>The</strong><br />

hous<strong>in</strong>g provided through government supported Hous<strong>in</strong>g First programs is permanent<br />

and "affordable," mean<strong>in</strong>g that tenants pay 30% <strong>of</strong> their <strong>in</strong>come towards rent. Hous<strong>in</strong>g<br />

First, as pioneered by Pathways to Hous<strong>in</strong>g, targets <strong>in</strong>dividuals with disabilities. This<br />

hous<strong>in</strong>g is supported through two HUD programs. <strong>The</strong>y are the Supportive<br />

Hous<strong>in</strong>g Program and the Shelter Plus Care Program. Pathways' Hous<strong>in</strong>g First model<br />

has been recognized by the Substance Abuse and Mental Health Services<br />

Adm<strong>in</strong>istration as an Evidence-based practice.<br />

<strong>The</strong> Hous<strong>in</strong>g First Model is executed through either a scattered-site or project-based<br />

implementation. A scattered-site Hous<strong>in</strong>g First program is a model <strong>in</strong> which residents<br />

are <strong>of</strong>fered the opportunity <strong>of</strong> be<strong>in</strong>g housed <strong>in</strong> <strong>in</strong>dividual hous<strong>in</strong>g units throughout a<br />

community. This model <strong>in</strong>tegrates participants <strong>in</strong> a community as opposed to<br />

assembl<strong>in</strong>g multiple or all participants <strong>in</strong> one project or location. In a project-based<br />

Hous<strong>in</strong>g First implementation, residents are <strong>of</strong>fered units with<strong>in</strong> a s<strong>in</strong>gle hous<strong>in</strong>g project<br />

or site. This model congregates multiple or all participants <strong>in</strong> one locality. In both the<br />

scattered-site and project-based Hous<strong>in</strong>g First programs, residents are given access to<br />

a wide variety <strong>of</strong> supportive health and rehabilitation services which they have the<br />

option, although not mandatory, to participate <strong>in</strong> and receive treatment.<br />

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Hous<strong>in</strong>g First is currently endorsed by the United States Interagency Council on<br />

<strong>Homelessness</strong> (<strong>US</strong>ICH) as a "best practice" for governments and service-agencies to<br />

use <strong>in</strong> their fight to end chronic homelessness <strong>in</strong> America.<br />

Hous<strong>in</strong>g First programs currently operate throughout the United States <strong>in</strong> cities such<br />

as New Orleans, Louisiana; Plattsburgh, New York; Anchorage, Alaska; M<strong>in</strong>neapolis,<br />

M<strong>in</strong>nesota; New York City; District <strong>of</strong> Columbia; Denver, Colorado; San Francisco,<br />

California; Atlanta, Georgia; Chicago, Ill<strong>in</strong>ois; Qu<strong>in</strong>cy, Massachusetts; Philadelphia,<br />

Pennsylvania; Salt Lake City, Utah; Seattle, Wash<strong>in</strong>gton;Los Angeles; Aust<strong>in</strong>,<br />

Texas; and Cleveland, Ohio, among many others, and are <strong>in</strong>tended to be crucial<br />

aspects <strong>of</strong> communities' so-called "10-Year Plans To End Chronic <strong>Homelessness</strong>" also<br />

advocated by <strong>US</strong>ICH. Rapid Re-Hous<strong>in</strong>g is based on Hous<strong>in</strong>g First pr<strong>in</strong>ciples and is<br />

considered a subset <strong>of</strong> the Hous<strong>in</strong>g First approach. Rapid Re-Hous<strong>in</strong>g differs primarily<br />

<strong>in</strong> the provision <strong>of</strong> short-term rent subsidies (generally 3–6 months), after which the<br />

tenant either pays rent without a subsidy or has access to a Section 8 Hous<strong>in</strong>g Choice<br />

voucher or the equivalent.<br />

Evidence and Outcomes<br />

In Massachusetts, the Home & Healthy for Good program reported some significant<br />

outcomes that were favorable especially <strong>in</strong> the area <strong>of</strong> cost sav<strong>in</strong>gs.<br />

<strong>The</strong> Denver Hous<strong>in</strong>g First Collaborative, operated by the Colorado Coalition for the<br />

Homeless, provides hous<strong>in</strong>g through a Hous<strong>in</strong>g First approach to more than 200<br />

chronically homeless <strong>in</strong>dividuals. A 2006 cost study documented a significant reduction<br />

<strong>in</strong> the use and cost <strong>of</strong> emergency services by program participants as well as <strong>in</strong>creased<br />

health status. Emergency room visits and costs were reduced by an average <strong>of</strong> 34.3<br />

percent. Hospital <strong>in</strong>patient costs were reduced by 66 percent. Detox visits were reduced<br />

by 82 percent. Incarceration days and costs were reduced by 76 percent. 77 percent <strong>of</strong><br />

those enter<strong>in</strong>g the program cont<strong>in</strong>ued to be housed <strong>in</strong> the program after two years.<br />

Researchers <strong>in</strong> Seattle, Wash<strong>in</strong>gton, partner<strong>in</strong>g with the Downtown Emergency Service<br />

Center, found that provid<strong>in</strong>g hous<strong>in</strong>g and support services for homeless alcoholics costs<br />

taxpayers less than leav<strong>in</strong>g them on the street, where taxpayer money goes towards<br />

police and emergency health care. Results <strong>of</strong> the study funded by the Substance Abuse<br />

Policy Research Program (SAPRP) <strong>of</strong> the Robert Wood Johnson Foundation appeared<br />

<strong>in</strong> the Journal <strong>of</strong> the American Medical Association April, 2009. This first <strong>US</strong> controlled<br />

assessment <strong>of</strong> the effectiveness <strong>of</strong> Hous<strong>in</strong>g First specifically target<strong>in</strong>g chronically<br />

homeless alcoholics showed that the program saved taxpayers more than $4 million<br />

over the first year <strong>of</strong> operation. Dur<strong>in</strong>g the first six months, even after consider<strong>in</strong>g the<br />

cost <strong>of</strong> adm<strong>in</strong>ister<strong>in</strong>g the hous<strong>in</strong>g, 95 residents <strong>in</strong> a Hous<strong>in</strong>g First program <strong>in</strong> downtown<br />

Seattle, the study reported an average cost-sav<strong>in</strong>gs <strong>of</strong> 53 percent—nearly <strong>US</strong> $2,500<br />

per month per person <strong>in</strong> health and social services, compared to the per month costs <strong>of</strong><br />

a wait-list control group <strong>of</strong> 39 homeless people. Further, stable hous<strong>in</strong>g also results <strong>in</strong><br />

reduced dr<strong>in</strong>k<strong>in</strong>g among homeless alcoholics.<br />

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In Utah, there has been "a 72 percent decrease overall s<strong>in</strong>ce enact<strong>in</strong>g the plan <strong>in</strong> 2005"<br />

accord<strong>in</strong>g to the Utah Division <strong>of</strong> Hous<strong>in</strong>g and Community Development.<br />

In August 2007, the <strong>US</strong> Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development reported that<br />

the number <strong>of</strong> chronically homeless <strong>in</strong>dividuals liv<strong>in</strong>g on the streets or <strong>in</strong> shelters<br />

dropped by an unprecedented 30 percent, from 175,914 people <strong>in</strong> 2005 to 123,833 <strong>in</strong><br />

2007. This was credited <strong>in</strong> part to the "hous<strong>in</strong>g first" approach; Congress <strong>in</strong> 1999<br />

directed that HUD spend 30% <strong>of</strong> its fund<strong>in</strong>g on the method.<br />

In September 2010, it was reported that the Hous<strong>in</strong>g First Initiative had significantly<br />

reduced the chronic homeless s<strong>in</strong>gle person population <strong>in</strong> Boston, Massachusetts,<br />

although homeless families were still <strong>in</strong>creas<strong>in</strong>g <strong>in</strong> number. Some shelters were<br />

reduc<strong>in</strong>g the number <strong>of</strong> beds due to lowered numbers <strong>of</strong> homeless, and some<br />

emergency shelter facilities were clos<strong>in</strong>g, especially the emergency Boston Night<br />

Center. By 2015, Boston Mayor Marty Walsh had announced a 3-year plan to end<br />

chronic homelessness, focus<strong>in</strong>g on coord<strong>in</strong>at<strong>in</strong>g efforts among public agencies and<br />

nonpr<strong>of</strong>it organizations provid<strong>in</strong>g services to homeless men and women.<br />

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In 2013, the estimated national public cost <strong>of</strong> chronic homelessness was between $3.7<br />

and $4.7 billion accord<strong>in</strong>g to the United States Interagency Council on<br />

<strong>Homelessness</strong> (<strong>US</strong>ICH). Through Hous<strong>in</strong>g First programs, chronically homeless<br />

<strong>in</strong>dividuals are us<strong>in</strong>g fewer hospital resources, spend<strong>in</strong>g less time <strong>in</strong> costly <strong>in</strong>carceration<br />

and requir<strong>in</strong>g fewer emergency room visits. For example, a review <strong>of</strong> the impact <strong>of</strong><br />

permanent supportive hous<strong>in</strong>g and case management on the health <strong>of</strong> the chronically<br />

homeless found evidence that these services have a positive impact on health<br />

outcomes such as self-reported mental health status and substance use, a large impact<br />

on health care utilization, and a reduction <strong>in</strong> Medicaid health care costs. Studies <strong>in</strong> New<br />

York City and <strong>in</strong> Utah have shown that every homeless person housed <strong>in</strong> programs<br />

such as Hous<strong>in</strong>g First saves taxpayers $10,000 and $8,000 a year, respectively. A<br />

research study at University <strong>of</strong> Northern Carol<strong>in</strong>a also reported that a hous<strong>in</strong>g project<br />

for the chronically homeless called Moore Place had saved the county $2.4 million.<br />

Post–2007 <strong>US</strong> Policy and Legislation<br />

<strong>The</strong> United States Congress appropriated $25 million <strong>in</strong> the McK<strong>in</strong>ney-Vento Homeless<br />

Assistance Grants for 2008 to show the effectiveness <strong>of</strong> Rapid Re-hous<strong>in</strong>g programs <strong>in</strong><br />

reduc<strong>in</strong>g family homelessness.<br />

In February 2009, President Obama signed the American Recovery and Re<strong>in</strong>vestment<br />

Act <strong>of</strong> 2009 part <strong>of</strong> which addressed homelessness prevention, allocat<strong>in</strong>g $1.5 billion for<br />

a Homeless Prevention Fund. <strong>The</strong> fund<strong>in</strong>g for it was called the "<strong>Homelessness</strong><br />

Prevention and Rapid Re-Hous<strong>in</strong>g Program" (HPRP), and was distributed us<strong>in</strong>g the<br />

formula for the Emergency Shelter Grants (ESG) program.<br />

On May 20, 2009, President Obama signed the Homeless Emergency Assistance and<br />

Rapid Transition to Hous<strong>in</strong>g (HEARTH) Act <strong>in</strong>to Public Law (Public Law 111-22 or "PL<br />

111-22"), reauthoriz<strong>in</strong>g HUD's Homeless Assistance programs. It was part <strong>of</strong><br />

the Help<strong>in</strong>g Families Save <strong>The</strong>ir Homes Act <strong>of</strong> 2009. <strong>The</strong> HEARTH act allows for the<br />

prevention <strong>of</strong> homelessness, rapid re-hous<strong>in</strong>g, consolidation <strong>of</strong> hous<strong>in</strong>g programs, and<br />

new homeless categories. In the eighteen months after the bill's sign<strong>in</strong>g, HUD must<br />

make regulations implement<strong>in</strong>g this new McK<strong>in</strong>ney program.<br />

In late 2009, some homeless advocacy organizations, such as the National Coalition for<br />

the Homeless, reported and published perceived problems with the HEARTH Act <strong>of</strong><br />

2009 as a HUD McK<strong>in</strong>ney-Vento Reauthorization bill, especially with regard to privacy,<br />

def<strong>in</strong>itional <strong>in</strong>eligibility, community roles, and restrictions on eligibile activities.<br />

On June 22, 2010, the United States Interagency Council on<br />

<strong>Homelessness</strong> presented Open<strong>in</strong>g Doors: Federal Strategic Plan to Prevent and End<br />

<strong>Homelessness</strong> to the Obama Adm<strong>in</strong>istration and Congress. This is the nation's first<br />

comprehensive strategy as mandated by the HEARTH Act and <strong>in</strong>cludes Hous<strong>in</strong>g First<br />

as a best practice for reach<strong>in</strong>g the goal <strong>of</strong> end<strong>in</strong>g chronic homelessness by 2015.<br />

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On June 11, 2014 the 100,000 Homes Campaign <strong>in</strong> the United States, launched <strong>in</strong> 2010<br />

to "help communities around the country place 100,000 chronically homeless people<br />

<strong>in</strong>to permanent supportive hous<strong>in</strong>g" announced that it reached its four-year goal <strong>of</strong><br />

hous<strong>in</strong>g 100,000 chronically homeless<br />

people nearly two months before its<br />

July 29 deadl<strong>in</strong>e.<br />

New York Times journalist David<br />

Bornste<strong>in</strong> summarized key elements <strong>of</strong><br />

the 100,000 Homes Campaign that<br />

campaign leaders attribute to its<br />

success. This <strong>in</strong>cluded learn<strong>in</strong>g<br />

<strong>in</strong>dividual homeless people's "name<br />

and need" by mobiliz<strong>in</strong>g volunteers to<br />

go very early <strong>in</strong> the morn<strong>in</strong>g to check on<br />

them, establish<strong>in</strong>g a "vulnerability<br />

<strong>in</strong>dex" so they could prioritize certa<strong>in</strong><br />

homeless people and "br<strong>in</strong>g hous<strong>in</strong>g<br />

advocates and agency representatives<br />

together to streaml<strong>in</strong>e the placement<br />

processes, and share ideas about how<br />

to cut through red tape."<br />

Application to Family <strong>Homelessness</strong><br />

<strong>The</strong> Hous<strong>in</strong>g First methodology was<br />

<strong>in</strong>itially developed <strong>in</strong> 1988 <strong>in</strong> Los<br />

Angeles, California, to address an<br />

<strong>in</strong>crease <strong>in</strong> family homelessness. <strong>The</strong><br />

basic methodology helps homeless<br />

families to relocate from shelters and<br />

transitional hous<strong>in</strong>g directly <strong>in</strong>to<br />

permanent rental hous<strong>in</strong>g <strong>in</strong> the<br />

community at-large as quickly as<br />

possible, with home-based case<br />

management support for a traditional<br />

period <strong>of</strong> time. In other words, the<br />

services traditionally be<strong>in</strong>g provided <strong>in</strong><br />

transitional hous<strong>in</strong>g were <strong>in</strong>stead<br />

provided to families after they had been assisted <strong>in</strong> relocat<strong>in</strong>g to permanent hous<strong>in</strong>g at<br />

rents they could afford. This was a major <strong>in</strong>novation <strong>in</strong> the field at the time. <strong>The</strong> basic<br />

premise was that families were more responsive to <strong>in</strong>terventions and support from a<br />

stable permanent hous<strong>in</strong>g base than while still homeless. In the 2009 HEARTH Act, the<br />

Hous<strong>in</strong>g First approach to end<strong>in</strong>g homelessness was codified <strong>in</strong>to law. Hous<strong>in</strong>g First<br />

programs for families differ dramatically from Hous<strong>in</strong>g First for the chronically homeless,<br />

as children are <strong>in</strong>volved. Beyond Shelter's leadership promoted this new approach<br />

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across the country for the next 20 years, work<strong>in</strong>g collaboratively with the National<br />

Alliance to End <strong>Homelessness</strong>.<br />

Australia<br />

Outside the United States<br />

In South Australia, the State Government <strong>of</strong> Premier Mike Rann (2002 to 2011)<br />

committed substantial fund<strong>in</strong>g to a series <strong>of</strong> <strong>in</strong>itiatives designed to combat<br />

homelessness. Advised by Social Inclusion Commissioner David Cappo and the<br />

founder <strong>of</strong> New York's Common Ground program, Rosanne Haggerty, the Rann<br />

Government established Common Ground Adelaide, build<strong>in</strong>g high quality <strong>in</strong>ner city<br />

apartments (comb<strong>in</strong>ed with <strong>in</strong>tensive support) for "rough sleep<strong>in</strong>g" homeless people.<br />

<strong>The</strong> government also funded the Street to Home program and a hospital liaison service<br />

designed to assist homeless people who are admitted to the emergency departments <strong>of</strong><br />

Adelaide's major public hospitals. Rather than be<strong>in</strong>g released back <strong>in</strong>to homelessness,<br />

patients identified as rough sleepers are found accommodation backed by pr<strong>of</strong>essional<br />

support. Common Ground and Street to Home now operate across Australia <strong>in</strong> other<br />

states.<br />

Canada<br />

In its <strong>Economic</strong> Action Plan 2013, the Federal Government <strong>of</strong> Canada proposed $119<br />

million annually from March 2014 until March 2019—with $600 million <strong>in</strong> new fund<strong>in</strong>g—<br />

to renew its <strong>Homelessness</strong> Partner<strong>in</strong>g Strategy (HPS). In deal<strong>in</strong>g with homelessness <strong>in</strong><br />

Canada, the focus is on the Hous<strong>in</strong>g First model. Thus, private or public organizations<br />

across Canada are eligible to receive HPS subsidies to implement Hous<strong>in</strong>g First<br />

programs. In 2008, the Federal Government <strong>of</strong> Canada funded a five-year<br />

demonstration program, the At Home/Chez Soi project, aimed at provid<strong>in</strong>g evidence<br />

about what services and systems best help people experienc<strong>in</strong>g serious mental illness<br />

and homelessness. Launched <strong>in</strong> November 2009 and end<strong>in</strong>g <strong>in</strong> March 2013, the At<br />

Home/Chez Soi project was actively address<strong>in</strong>g the hous<strong>in</strong>g need by <strong>of</strong>fer<strong>in</strong>g Hous<strong>in</strong>g<br />

First programs to people with mental illness who were experienc<strong>in</strong>g homelessness <strong>in</strong><br />

five cities: Vancouver, W<strong>in</strong>nipeg, Toronto, Montréal and Moncton. In total, At<br />

Home/Chez Soi has provided more than 1,000 Canadians with hous<strong>in</strong>g.<br />

Hous<strong>in</strong>g First has grown <strong>in</strong> popularity <strong>in</strong> Canada and used <strong>in</strong> many Canadian ten-year<br />

plans to end homelessness, such as those <strong>in</strong> Edmonton and Calgary, Alberta. Hous<strong>in</strong>g<br />

First: A Canadian Perspective (TM) is spearheaded by Pathways to Hous<strong>in</strong>g Calgary<br />

and director Sue Fortune. Canadian adaptations to Hous<strong>in</strong>g First have demonstrated<br />

positive outcomes as documented on the website: www.thealex.ca (Hous<strong>in</strong>g Programs;<br />

Pathways to Hous<strong>in</strong>g). Canadian implementations <strong>of</strong> Hous<strong>in</strong>g First must be tailored to<br />

Canadian homelessness, resources, politics and philosophy.<br />

In Calgary, Alberta, the Alex Pathways to Hous<strong>in</strong>g Calgary which opened <strong>in</strong> 2007, has<br />

150 <strong>in</strong>dividuals <strong>in</strong> scatter site homes <strong>in</strong> 2013. Clients pay 30 percent <strong>of</strong> their <strong>in</strong>come<br />

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towards their rent: 85 percent <strong>of</strong> Pathways to Hous<strong>in</strong>g clients receive Assured Income<br />

for the Severely Handicapped (AISH) benefits and 15 percent receive Alberta Works.<br />

<strong>The</strong> Alex Pathways to Hous<strong>in</strong>g uses a Hous<strong>in</strong>g First model, but it also uses Assertive<br />

Community Treatment (ACT), an <strong>in</strong>tegrated approach to healthcare where clients<br />

access a team <strong>of</strong> "nurses, mental health specialists, justice specialists and substance<br />

abuse specialists." Director<br />

Sue Fortune is committed<br />

to the 10 Year Plan To End<br />

Homelessless <strong>in</strong> the<br />

Calgary Region. Fortune<br />

reported that the Hous<strong>in</strong>g<br />

First approach resulted <strong>in</strong> a<br />

66 percent decl<strong>in</strong>e <strong>in</strong> days<br />

hospitalized (from one year<br />

prior to <strong>in</strong>take compared to<br />

one year <strong>in</strong> the program), a<br />

38 percent decl<strong>in</strong>e <strong>in</strong> times<br />

<strong>in</strong> emergency room, a 41<br />

percent decl<strong>in</strong>e <strong>in</strong> EMS<br />

events, a 79 percent<br />

decl<strong>in</strong>e <strong>in</strong> days <strong>in</strong> jail and a<br />

30 percent decl<strong>in</strong>e <strong>in</strong> police<br />

<strong>in</strong>teractions. Sue Fortune,<br />

Director <strong>of</strong> Alex Pathways<br />

to Hous<strong>in</strong>g <strong>in</strong> Calgary <strong>in</strong> her<br />

2013 presentation entitled<br />

"Canadian Adaptations<br />

us<strong>in</strong>g Hous<strong>in</strong>g First: A Canadian Perspective" argued that less than 1% <strong>of</strong> exist<strong>in</strong>g<br />

clients return to shelters or rough sleep<strong>in</strong>g; clients spend 76% fewer days <strong>in</strong> jail; clients<br />

have 35% decl<strong>in</strong>e <strong>in</strong> police <strong>in</strong>teractions.<br />

Pathways to Hous<strong>in</strong>g Canada describes the Hous<strong>in</strong>g First as a "client-driven strategy<br />

that provides immediate access to an apartment without requir<strong>in</strong>g <strong>in</strong>itial participation <strong>in</strong><br />

psychiatric treatment or treatment for sobriety."<br />

F<strong>in</strong>land<br />

In 2007 the centre-right government <strong>of</strong> Matti Vanhanen began a special program <strong>of</strong> four<br />

wise men to elim<strong>in</strong>ate homelessness <strong>in</strong> F<strong>in</strong>land by 2015.<br />

<strong>The</strong> programme to reduce long-term homelessness targets just some homeless people.<br />

Assessed on the basis <strong>of</strong> social, health and f<strong>in</strong>ancial circumstances, this is the hard<br />

core <strong>of</strong> homelessness. <strong>The</strong> programme to reduce long-term homelessness focuses on<br />

the 10 biggest urban growth centres, where most <strong>of</strong> the homeless are to be found. <strong>The</strong><br />

ma<strong>in</strong> priority, however, is the Hels<strong>in</strong>ki Metropolitan Area, and especially Hels<strong>in</strong>ki itself,<br />

where long-term homelessness is concentrated.<br />

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<strong>The</strong> programme is structured around the hous<strong>in</strong>g first pr<strong>in</strong>ciple. Solutions to social and<br />

health problems cannot be a condition for organis<strong>in</strong>g accommodation: on the contrary,<br />

accommodation is a requirement which also allows other problems <strong>of</strong> people who have<br />

been homeless to be solved. Hav<strong>in</strong>g somewhere to live makes it possible to strengthen<br />

life management skills and is conducive to purposeful activity.<br />

Because <strong>of</strong> all the reasons there are for long-term homelessness, if it is to be cut there<br />

need to be simultaneous measures at different levels, i.e. universal hous<strong>in</strong>g and social<br />

policy measures, the prevention <strong>of</strong> homelessness and targeted action to reduce longterm<br />

homelessness.<br />

<strong>The</strong> programme’s objectives are:<br />

To halve long-term homelessness by 2011<br />

To elim<strong>in</strong>ate homelessness entirely by 2015<br />

More effective measures to prevent homelessness<br />

France<br />

<strong>The</strong> French government launched a Hous<strong>in</strong>g First-like program <strong>in</strong> France <strong>in</strong> 2010 <strong>in</strong> 4<br />

major cities - Toulouse, Marseille, Lille and Paris - called "Un chez-Soi d'abord". It<br />

follows the same pr<strong>in</strong>ciples as the Canadian and <strong>US</strong> programs: it is focused on<br />

homeless people with mental illness or addicted to drugs or alcohol. <strong>The</strong> plan is on a<br />

three-year basis for each <strong>in</strong>dividual, liv<strong>in</strong>g <strong>in</strong> accommodation provided by an NGO.<br />

Clients are given any needed help with social issues and medical care. <strong>The</strong> first houses<br />

have been work<strong>in</strong>g <strong>in</strong> three cities s<strong>in</strong>ce 2011 and a hundred apartments have been<br />

planned <strong>in</strong> Paris start<strong>in</strong>g <strong>in</strong> May 2012.<br />

Several NGOs are <strong>in</strong>volved <strong>in</strong> this trial. <strong>The</strong>y provide rental management and social<br />

support for tenants.<br />

Those NGOs are l<strong>in</strong>ked with scientists <strong>in</strong>vestigat<strong>in</strong>g the results <strong>of</strong> the experiment and<br />

serve as a relay for <strong>in</strong>formation and status reports on the targeted public. <strong>The</strong> lead team<br />

<strong>of</strong> "Un chez-soi d'abord" is expect<strong>in</strong>g results to be published around 2017.<br />

Japan<br />

Though homeless support groups like non-pr<strong>of</strong>it<br />

organization Moyai, Bigissue, Médec<strong>in</strong>s du Monde Japan have requested Hous<strong>in</strong>g First,<br />

Japanese government does not have a Hous<strong>in</strong>g First program yet. Traditionally, the<br />

government <strong>of</strong>fers public hous<strong>in</strong>g so-called Koei-jutaku for low-<strong>in</strong>come people by public<br />

hous<strong>in</strong>g law and it is run by local government. Rent fees are subject to change<br />

accord<strong>in</strong>g to household <strong>in</strong>come. Because applicants must be selected by lottery, low<strong>in</strong>come<br />

people cannot live <strong>in</strong> the hous<strong>in</strong>g soon though they have an advantage. <strong>The</strong>re<br />

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are a couple <strong>of</strong> Hous<strong>in</strong>g First-like programs. Non-pr<strong>of</strong>it organization<br />

Littleones renovates discarded or empty homes and they rent the rooms to s<strong>in</strong>gle<br />

mothers with f<strong>in</strong>ancial and occupational support. Tsukuroi Tokyo fund advocates a<br />

hous<strong>in</strong>g first and they built a shelter specially for homeless people.<br />

United K<strong>in</strong>gdom<br />

<strong>The</strong> UK government announced plans for a Hous<strong>in</strong>g First pilot programme <strong>in</strong> the West<br />

Midlands, Liverpool, and Manchester, along with fund<strong>in</strong>g <strong>of</strong> £28m. This followed<br />

publication <strong>of</strong> a report entitled Hous<strong>in</strong>g First by the Centre for Social Justice which cited<br />

the results from the F<strong>in</strong>nish application <strong>of</strong> Hous<strong>in</strong>g First.<br />

Criticism <strong>of</strong><br />

Hous<strong>in</strong>g First<br />

One-Size-Fits-<br />

All<br />

Ralph DaCosta<br />

Nunez, the<br />

President and<br />

CEO <strong>of</strong> the<br />

Institute for<br />

Children, Poverty<br />

and<br />

<strong>Homelessness</strong><br />

(ICPH), who is<br />

also a Pr<strong>of</strong>essor<br />

at Columbia<br />

University, predicted this one-size-fits-all is dest<strong>in</strong>ed to fail as statistics <strong>in</strong> New York City<br />

prove. Dr. Nunez described the approach as "'public stupidity'" rather than "'public<br />

policy'". He also compla<strong>in</strong>ed that Hous<strong>in</strong>g First "is all that’s left after the other poverty<br />

fight<strong>in</strong>g programs have been underfunded or elim<strong>in</strong>ated." Nunez advocates for a three<br />

tiered approach to address<strong>in</strong>g homelessness with Hous<strong>in</strong>g First as only the first<br />

component <strong>of</strong> that approach.<br />

Follow<strong>in</strong>g Panelák: A Failed Communist Model<br />

Sharam Kohan, a social policy expert and economist, compared the Hous<strong>in</strong>g First<br />

model to Panelák <strong>of</strong> the former communist countries that tried to end homelessness by<br />

provid<strong>in</strong>g permanent and unconditional public hous<strong>in</strong>g. Dr. Kohan criticized Hous<strong>in</strong>g<br />

First model for follow<strong>in</strong>g Panelák's failed philosophy and approaches. Dr. Kohan po<strong>in</strong>ts<br />

to a grow<strong>in</strong>g number <strong>of</strong> reports from communities that have implemented Hous<strong>in</strong>g First<br />

programs which are "credited with creat<strong>in</strong>g slums and slumlord."<br />

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Limits <strong>of</strong> Evidence Based Policy<br />

On July 31, 2011, Pr<strong>of</strong>. Victoria Stanhope, Ph.D., <strong>of</strong> New York University School <strong>of</strong><br />

Social Work and Pr<strong>of</strong>. Kerry Dunn, J.D., Ph.D., <strong>of</strong> University <strong>of</strong> New England School <strong>of</strong><br />

Social Work, published “<strong>The</strong> curious case <strong>of</strong> Hous<strong>in</strong>g First; <strong>The</strong> limits <strong>of</strong> evidence-based<br />

policy” <strong>in</strong> the International Journal <strong>of</strong> Law and Psychiatry. Drs. Stanhope and Dunn<br />

gave an overview <strong>of</strong> evidence-based policy and presented “critiques based on its<br />

reliance on positivist methods and technical approach to policy mak<strong>in</strong>g. Us<strong>in</strong>g these<br />

critiques as a framework, the paper discusse[d] the case <strong>of</strong> Hous<strong>in</strong>g First, a policy<br />

adopted by the Bush Adm<strong>in</strong>istration <strong>in</strong> order to address the problem <strong>of</strong> chronic<br />

homelessness.” Accord<strong>in</strong>g to Drs. Stanhope and Dunn, the Hous<strong>in</strong>g First “is an<br />

example <strong>of</strong> research-driven policy mak<strong>in</strong>g but also resulted <strong>in</strong> a progressive policy be<strong>in</strong>g<br />

promoted by a conservative adm<strong>in</strong>istration. In discuss<strong>in</strong>g the case, the paper elaborates<br />

on the relationship between evidence and policy, argu<strong>in</strong>g that evidence-based policy<br />

fails to <strong>in</strong>tegrate evidence and values <strong>in</strong>to policy deliberations. <strong>The</strong> paper concludes<br />

with alternative models <strong>of</strong> policy decision-mak<strong>in</strong>g and their implications for research.”<br />

Hous<strong>in</strong>g First has been criticized on its failure to address broader service outcomes,<br />

namely substance abuse (<strong>in</strong> one case, it was argued that the only reason substance<br />

abuse outcomes were no worse was that the residents were not severely<br />

addicted). <strong>The</strong>se criticisms have been rebutted on the grounds that Hous<strong>in</strong>g First is a<br />

program to end homelessness not to reduce substance abuse, though more recent<br />

research <strong>in</strong>dicates it is more effective than traditional approaches <strong>in</strong> this regard as<br />

well. This exchange highlights the way <strong>in</strong> which the selection <strong>of</strong> outcomes sets both the<br />

terms <strong>of</strong> the debate and the parameters <strong>of</strong> “what works.” Embedded <strong>in</strong> that mantra are a<br />

priori decisions about what constitutes work<strong>in</strong>g and for whom; <strong>in</strong> this case it was stable<br />

hous<strong>in</strong>g for the chronic homeless.<br />

Accord<strong>in</strong>g to Stanhope, Hous<strong>in</strong>g First “asserts a right to hous<strong>in</strong>g. Such a material right<br />

is an anathema to neoliberal ideology and challenges deeply held beliefs that have<br />

shaped <strong>US</strong> welfare from its <strong>in</strong>ception: That no one has a right to a government benefit<br />

unless they have proved themselves to be deserv<strong>in</strong>g or worthy (e.g., "TANF"), or have<br />

earned it (e.g., social <strong>in</strong>surance).”<br />

________<br />

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X. <strong>The</strong> Advocacy Foundation<br />

Balanced Home-Mortgage Initiative<br />

<strong>The</strong> Flexible, Income-Based, Unlimited-Term, Strategic Mortgage.<br />

by John C Johnson III<br />

We have a better idea! We call it <strong>The</strong> Flexible, Income-Based, Unlimited-Term,<br />

Strategic Mortgage.<br />

Here’s how our formula works:<br />

1. First We Determ<strong>in</strong>e <strong>The</strong> Value <strong>of</strong> the Home, and That’s<br />

What Sets the Foundation for Payment<br />

Real Estate Appraisal, Property Valuation or Land Valuation is<br />

the process <strong>of</strong> develop<strong>in</strong>g an op<strong>in</strong>ion <strong>of</strong> value for real property (usually market value).<br />

Real estate transactions <strong>of</strong>ten require appraisals because they occur <strong>in</strong>frequently and<br />

every property is unique (especially their location, a key factor <strong>in</strong> valuation), unlike<br />

corporate stocks, which are traded daily and are identical (thus a centralized Walrasian<br />

auction like a stock exchange is unrealistic). Appraisal reports form the basis for<br />

mortgage loans, settl<strong>in</strong>g estates and divorces, taxation, and so on. Sometimes an<br />

appraisal report is used to set the sale price <strong>of</strong> a property.<br />

Most, but not all, countries require<br />

appraisers to be licensed or certified.<br />

Appraisers are <strong>of</strong>ten known as "property<br />

valuers" or "land valuers"; <strong>in</strong> British English<br />

they are "valuation surveyors". If the<br />

appraiser's op<strong>in</strong>ion is based on market<br />

value, then it must also be based on the<br />

highest and best use <strong>of</strong> the real property. In<br />

the United States, mortgage valuations <strong>of</strong><br />

improved residential properties are generally<br />

reported on a standardized form like the<br />

Uniform Residential Appraisal Report. Appraisals <strong>of</strong> more complex properties (e.g.,<br />

<strong>in</strong>come-produc<strong>in</strong>g, raw land) are <strong>of</strong>ten reported <strong>in</strong> narrative format.<br />

Types <strong>of</strong> Value<br />

<strong>The</strong>re are several types and def<strong>in</strong>itions <strong>of</strong> value sought by a real estate appraisal. Some<br />

<strong>of</strong> the most common are:<br />

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Market value – <strong>The</strong> price at which an asset would trade <strong>in</strong> a competitive<br />

Walrasian auction sett<strong>in</strong>g. Market value is usually <strong>in</strong>terchangeable with open<br />

market value or fair value. International Valuation Standards (IVS) def<strong>in</strong>e:<br />

Market value – the estimated amount for which an asset or liability should<br />

exchange on the valuation date between a will<strong>in</strong>g buyer and a will<strong>in</strong>g seller <strong>in</strong> an<br />

arm's length transaction, after proper market<strong>in</strong>g and where the parties had each<br />

acted knowledgeably, prudently and without compulsion.<br />

<br />

<br />

Value-<strong>in</strong>-use, or use value – <strong>The</strong> net present value (NPV) <strong>of</strong> a cash flow that an<br />

asset generates for a specific owner under a specific use. Value-<strong>in</strong>-use is the<br />

value to one particular user, and may be above or below the market value <strong>of</strong> a<br />

property.<br />

Investment value – is the value to one particular <strong>in</strong>vestor, and may or may not<br />

be higher than the market value <strong>of</strong> a property. Differences between the<br />

<strong>in</strong>vestment value <strong>of</strong> an asset and its market value provide the motivation for<br />

buyers or sellers to enter the marketplace. International Valuation Standards<br />

(IVS) def<strong>in</strong>e:<br />

Investment value – the value <strong>of</strong> an asset to the owner or a prospective owner<br />

for <strong>in</strong>dividual <strong>in</strong>vestment or operational objectives.<br />

<br />

<br />

Insurable Value – is the value <strong>of</strong> real property covered by an <strong>in</strong>surance policy.<br />

Generally it does not <strong>in</strong>clude the site value.<br />

Liquidation Value – may be analyzed as either a forced liquidation or an<br />

orderly liquidation and is a commonly sought standard <strong>of</strong> value <strong>in</strong> bankruptcy<br />

proceed<strong>in</strong>gs. It assumes a seller who is compelled to sell after an exposure<br />

period which is less than the market-normal time-frame.<br />

Price versus Value<br />

<strong>The</strong>re can be differences between what the property is really worth (market value) and<br />

what it cost to buy it (price). A price paid might not represent that property's market<br />

value. Sometimes, special considerations may have been present, such as a special<br />

relationship between the buyer and the seller where one party had control or significant<br />

<strong>in</strong>fluence over the other party. In other cases, the transaction may have been just one <strong>of</strong><br />

several properties sold or traded between two parties. In such cases, the price paid for<br />

any particular piece is not its market "value" (with the idea usually be<strong>in</strong>g, though, that all<br />

the pieces and prices add up to market value <strong>of</strong> all the parts) but rather its market<br />

"price".<br />

At other times, a buyer may will<strong>in</strong>gly pay a premium price, above the generally accepted<br />

market value, if his subjective valuation <strong>of</strong> the property (its <strong>in</strong>vestment value for him)<br />

was higher than the market value. One specific example <strong>of</strong> this is an owner <strong>of</strong> a<br />

Page 190 <strong>of</strong> 289


neighbor<strong>in</strong>g property who, by comb<strong>in</strong><strong>in</strong>g his own property with the subject property,<br />

could obta<strong>in</strong> economies-<strong>of</strong>-scale. Similar situations sometimes happen <strong>in</strong> corporate<br />

f<strong>in</strong>ance. For example, this can occur when a merger or acquisition happens at a price<br />

which is higher than the value represented by the price <strong>of</strong> the underly<strong>in</strong>g stock. <strong>The</strong><br />

usual explanation for these types <strong>of</strong> mergers and acquisitions is that "the sum is greater<br />

than its parts", s<strong>in</strong>ce full ownership <strong>of</strong> a company provides full control <strong>of</strong> it. This is<br />

someth<strong>in</strong>g that purchasers will sometimes pay a high price for. This situation can<br />

happen <strong>in</strong> real estate purchases too.<br />

But the most common reason for value differ<strong>in</strong>g from price is that either the buyer or the<br />

seller is un<strong>in</strong>formed as to what a property's market value is but nevertheless agrees on<br />

a contract at a certa<strong>in</strong> price which is either too expensive or too cheap. This is<br />

unfortunate for one <strong>of</strong> the two parties. It is the obligation <strong>of</strong> a real property appraiser to<br />

estimate the true market value <strong>of</strong> a property and not its market price.<br />

Market Value Def<strong>in</strong>itions <strong>in</strong> <strong>The</strong> United States<br />

In the United States, appraisals are for a certa<strong>in</strong> type <strong>of</strong> value (e.g., foreclosure value,<br />

fair market value, distressed sale value, <strong>in</strong>vestment value). <strong>The</strong> most commonly used<br />

def<strong>in</strong>ition <strong>of</strong> value is Market Value. While Uniform Standards <strong>of</strong> Pr<strong>of</strong>essional Appraisal<br />

Practice (<strong>US</strong>PAP) does not def<strong>in</strong>e Market Value, it provides general guidance for how<br />

Market Value should be def<strong>in</strong>ed:<br />

A type <strong>of</strong> value, stated as an op<strong>in</strong>ion, that presumes the transfer <strong>of</strong> a property (i.e., a<br />

right <strong>of</strong> ownership or a bundle <strong>of</strong> such rights), as <strong>of</strong> a certa<strong>in</strong> date, under specific<br />

conditions set forth <strong>in</strong> the def<strong>in</strong>ition <strong>of</strong> the term identified by the appraiser as applicable<br />

<strong>in</strong> an appraisal.<br />

Thus, the def<strong>in</strong>ition <strong>of</strong> value used <strong>in</strong> an appraisal or Current Market Analysis (CMA)<br />

analysis and report is a set <strong>of</strong> assumptions about the market <strong>in</strong> which the subject<br />

property may transact. It affects the choice <strong>of</strong> comparable data for use <strong>in</strong> the analysis. It<br />

can also affect the method used to value the property. For example, tree value can<br />

contribute up to 27% <strong>of</strong> property value.<br />

Page 191 <strong>of</strong> 289


Three Approaches to Value<br />

<strong>The</strong>re are three traditional groups <strong>of</strong> methodologies for determ<strong>in</strong><strong>in</strong>g value. <strong>The</strong>se are<br />

usually referred to as the "three approaches to value" which are generally <strong>in</strong>dependent<br />

<strong>of</strong> each other:<br />

<br />

<br />

<br />

<strong>The</strong> cost approach (the buyer will not pay more for a property than it would cost<br />

to build an equivalent).<br />

<strong>The</strong> sales comparison approach (compar<strong>in</strong>g a property's characteristics with<br />

those <strong>of</strong> comparable properties that have recently sold <strong>in</strong> similar transactions).<br />

<strong>The</strong> <strong>in</strong>come approach (similar to the methods used for f<strong>in</strong>ancial valuation,<br />

securities analysis or bond pric<strong>in</strong>g).<br />

However, the recent trend <strong>of</strong> the bus<strong>in</strong>ess tends to be toward the use <strong>of</strong> a scientific<br />

methodology <strong>of</strong> appraisal which relies on the foundation <strong>of</strong> quantitative-data, risk, and<br />

geographical based approaches. Pagourtzi et al. have provided a review on the<br />

methods used <strong>in</strong> the <strong>in</strong>dustry by comparison between conventional approaches and<br />

advanced ones.<br />

As mentioned before, an appraiser can generally choose from three approaches to<br />

determ<strong>in</strong>e value. One or two <strong>of</strong> these approaches will usually be most applicable, with<br />

the other approach or approaches usually be<strong>in</strong>g less useful. <strong>The</strong> appraiser has to th<strong>in</strong>k<br />

about the "scope <strong>of</strong> work", the type <strong>of</strong> value, the property itself, and the quality and<br />

quantity <strong>of</strong> data available for each approach. No overarch<strong>in</strong>g statement can be made<br />

that one approach or another is always better than one <strong>of</strong> the other approaches.<br />

<strong>The</strong> appraiser has to th<strong>in</strong>k about the way that most buyers usually buy a given type <strong>of</strong><br />

property. What appraisal method do most buyers use for the type <strong>of</strong> property be<strong>in</strong>g<br />

valued? This generally guides the appraiser's th<strong>in</strong>k<strong>in</strong>g on the best valuation method, <strong>in</strong><br />

conjunction with the available data. For <strong>in</strong>stance, appraisals <strong>of</strong> properties that are<br />

typically purchased by <strong>in</strong>vestors (e.g., skyscrapers, <strong>of</strong>fice build<strong>in</strong>gs) may give greater<br />

weight to the Income Approach. Buyers <strong>in</strong>terested <strong>in</strong> purchas<strong>in</strong>g s<strong>in</strong>gle family residential<br />

property would rather compare price, <strong>in</strong> this case the Sales Comparison Approach<br />

(market analysis approach) would be more applicable. <strong>The</strong> third and f<strong>in</strong>al approach to<br />

value is the Cost Approach to value. <strong>The</strong> Cost Approach to value is most useful <strong>in</strong><br />

determ<strong>in</strong><strong>in</strong>g <strong>in</strong>surable value, and cost to construct a new structure or build<strong>in</strong>g.<br />

For example, s<strong>in</strong>gle apartment build<strong>in</strong>gs <strong>of</strong> a given quality tend to sell at a particular<br />

price per apartment. In many <strong>of</strong> those cases, the sales comparison approach may be<br />

more applicable. On the other hand, a multiple-build<strong>in</strong>g apartment complex would<br />

usually be valued by the <strong>in</strong>come approach, as that would follow how most buyers would<br />

value it. As another example, s<strong>in</strong>gle-family houses are most commonly valued with<br />

greatest weight<strong>in</strong>g to the sales comparison approach. However, if a s<strong>in</strong>gle-family<br />

dwell<strong>in</strong>g is <strong>in</strong> a neighborhood where all or most <strong>of</strong> the dwell<strong>in</strong>gs are rental units, then<br />

some variant <strong>of</strong> the <strong>in</strong>come approach may be more useful. So the choice <strong>of</strong> valuation<br />

Page 192 <strong>of</strong> 289


method can change depend<strong>in</strong>g upon the circumstances, even if the property be<strong>in</strong>g<br />

valued does not change much.<br />

<strong>The</strong> Cost Approach<br />

<strong>The</strong> Cost Approach was once called the summation approach. <strong>The</strong> theory is that the<br />

value <strong>of</strong> a property can be estimated by summ<strong>in</strong>g the land value and the depreciated<br />

value <strong>of</strong> any improvements. <strong>The</strong> value <strong>of</strong> the improvements is <strong>of</strong>ten referred to by the<br />

abbreviation RCNLD (for "reproduction/replacement cost new less depreciation").<br />

Reproduction refers to reproduc<strong>in</strong>g an exact replica; replacement cost refers to the cost<br />

<strong>of</strong> build<strong>in</strong>g a house or other improvement which has the same utility, but us<strong>in</strong>g modern<br />

design, workmanship and materials. In practice, appraisers almost always use<br />

replacement cost and then deduct a factor for any functional dis-utility associated with<br />

the age <strong>of</strong> the subject property. An exception to the general rule <strong>of</strong> us<strong>in</strong>g the<br />

replacement cost, is for some <strong>in</strong>surance value appraisals. In those cases, reproduction<br />

<strong>of</strong> the exact asset after a destructive event like a fire is the goal.<br />

In most <strong>in</strong>stances when the cost approach is <strong>in</strong>volved, the overall methodology is a<br />

hybrid <strong>of</strong> the cost and sales comparison approaches (represent<strong>in</strong>g both the suppliers'<br />

costs and the prices that customers are seek<strong>in</strong>g). For example, the replacement cost to<br />

construct a build<strong>in</strong>g can be determ<strong>in</strong>ed by add<strong>in</strong>g the labor, material, and other costs.<br />

On the other hand, land values and depreciation must be derived from an analysis <strong>of</strong><br />

comparable sales data.<br />

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<strong>The</strong> cost approach is considered most reliable when used on newer structures, but the<br />

method tends to become less reliable for older properties. <strong>The</strong> cost approach is <strong>of</strong>ten<br />

the only reliable approach when deal<strong>in</strong>g with special use properties (e.g., public<br />

assembly, mar<strong>in</strong>as).<br />

<strong>The</strong> Sales Comparison Approach<br />

<strong>The</strong> sales comparison approach is based primarily on the pr<strong>in</strong>ciple <strong>of</strong> substitution. This<br />

approach assumes a prudent (or rational) <strong>in</strong>dividual will pay no more for a property than<br />

it would cost to purchase a comparable substitute property. <strong>The</strong> approach recognizes<br />

that a typical buyer will compare ask<strong>in</strong>g prices and seek to purchase the property that<br />

meets his or her wants and needs for the lowest cost. In develop<strong>in</strong>g the sales<br />

comparison approach, the appraiser attempts to <strong>in</strong>terpret and measure the actions <strong>of</strong><br />

parties <strong>in</strong>volved <strong>in</strong> the marketplace, <strong>in</strong>clud<strong>in</strong>g buyers, sellers, and <strong>in</strong>vestors.<br />

Data Collection Methods and Valuation Process<br />

Data is collected on recent sales <strong>of</strong> properties similar to the subject be<strong>in</strong>g valued, called<br />

"comparables". Only SOLD properties may be used <strong>in</strong> an appraisal and determ<strong>in</strong>ation <strong>of</strong><br />

a property's value, as they represent amounts actually paid or agreed upon for<br />

properties. Sources <strong>of</strong> comparable data <strong>in</strong>clude real estate publications, public records,<br />

buyers, sellers, real estate brokers and/or agents, appraisers, and so on. Important<br />

details <strong>of</strong> each comparable sale are described <strong>in</strong> the appraisal report. S<strong>in</strong>ce comparable<br />

sales are not identical to the subject property, adjustments may be made for date <strong>of</strong><br />

sale, location, style, amenities, square footage, site size, etc. <strong>The</strong> ma<strong>in</strong> idea is to<br />

simulate the price that would have been paid if each comparable sale were identical to<br />

the subject property. If the comparable is superior to the subject <strong>in</strong> a factor or aspect,<br />

then a downward adjustment is needed for that factor. Likewise, if the comparable is<br />

<strong>in</strong>ferior to the subject <strong>in</strong> an aspect, then an upward adjustment for that aspect is<br />

needed. <strong>The</strong> adjustment is somewhat subjective and relies on the appraiser's tra<strong>in</strong><strong>in</strong>g<br />

and experience. From the analysis <strong>of</strong> the group <strong>of</strong> adjusted sales prices <strong>of</strong> the<br />

comparable sales, the appraiser selects an <strong>in</strong>dicator <strong>of</strong> value that is representative <strong>of</strong><br />

the subject property. It is possible for various appraisers to choose different <strong>in</strong>dicator <strong>of</strong><br />

value which ultimately will provide different property value.<br />

Steps <strong>in</strong> <strong>The</strong> Sales Comparison Approach<br />

<br />

<br />

<br />

<br />

Research the market to obta<strong>in</strong> <strong>in</strong>formation perta<strong>in</strong><strong>in</strong>g to sales, and pend<strong>in</strong>g sales<br />

that are similar to the subject property<br />

2. Investigate the market data to determ<strong>in</strong>e whether they are factually correct and<br />

accurate<br />

Determ<strong>in</strong>e relevant units <strong>of</strong> comparison (e.g., sales price per square foot), and<br />

develop a comparative analysis for each<br />

Compare the subject and comparable sales accord<strong>in</strong>g to the elements <strong>of</strong><br />

comparison and adjust as appropriate<br />

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Reconcile the multiple value <strong>in</strong>dications that result from the adjustment (upward<br />

or downward) <strong>of</strong> the comparable sales <strong>in</strong>to a s<strong>in</strong>gle value <strong>in</strong>dication<br />

<strong>The</strong> Income Capitalization Approach<br />

<strong>The</strong> <strong>in</strong>come capitalization approach (<strong>of</strong>ten referred to simply as the "<strong>in</strong>come<br />

approach") is used to value commercial and <strong>in</strong>vestment properties. Because it is<br />

<strong>in</strong>tended to directly reflect or model the expectations and behaviors <strong>of</strong> typical market<br />

participants, this approach is generally considered the most applicable valuation<br />

technique for <strong>in</strong>come-produc<strong>in</strong>g properties, where sufficient market data exists.<br />

In a<br />

commercial<br />

<strong>in</strong>comeproduc<strong>in</strong>g<br />

property this<br />

approach<br />

capitalizes an<br />

<strong>in</strong>come<br />

stream <strong>in</strong>to a<br />

value<br />

<strong>in</strong>dication.<br />

This can be<br />

done us<strong>in</strong>g<br />

revenue<br />

multipliers or<br />

capitalization<br />

rates applied<br />

to a Net<br />

Operat<strong>in</strong>g<br />

Income<br />

(NOI).<br />

Usually, an NOI has been stabilized so as not to place too much weight on a very recent<br />

event. An example <strong>of</strong> this is an unleased build<strong>in</strong>g which, technically, has no NOI. A<br />

stabilized NOI would assume that the build<strong>in</strong>g is leased at a normal rate, and to usual<br />

occupancy levels. <strong>The</strong> Net Operat<strong>in</strong>g Income (NOI) is gross potential <strong>in</strong>come (GPI), less<br />

vacancy and collection loss (= Effective Gross Income) less operat<strong>in</strong>g expenses (but<br />

exclud<strong>in</strong>g debt service, <strong>in</strong>come taxes, and/or depreciation charges applied by<br />

accountants).<br />

Alternatively, multiple years <strong>of</strong> net operat<strong>in</strong>g <strong>in</strong>come can be valued by a discounted<br />

cash flow analysis (DCF) model. <strong>The</strong> DCF model is widely used to value larger and<br />

more expensive <strong>in</strong>come-produc<strong>in</strong>g properties, such as large <strong>of</strong>fice towers or major<br />

shopp<strong>in</strong>g centers. This technique applies market-supported yields (or discount rates) to<br />

projected future cash flows (such as annual <strong>in</strong>come figures and typically a lump<br />

reversion from the eventual sale <strong>of</strong> the property) to arrive at a present value <strong>in</strong>dication.<br />

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UK Valuation Methods<br />

In the United K<strong>in</strong>gdom, valuation methodology has traditionally been classified <strong>in</strong>to five<br />

methods: [11]<br />

1. Comparative method. Used for most types <strong>of</strong> property where there is good evidence<br />

<strong>of</strong> previous sales. This is analogous to the sales comparison approach outl<strong>in</strong>ed above.<br />

2. Investment method. Used for most commercial (and residential) property that is<br />

produc<strong>in</strong>g future cash flows through the lett<strong>in</strong>g <strong>of</strong> the property. If the current estimated<br />

rental value (ERV) and the pass<strong>in</strong>g <strong>in</strong>come are known, as well as the marketdeterm<strong>in</strong>ed<br />

equivalent yield, then the property value can be determ<strong>in</strong>ed by means <strong>of</strong> a<br />

simple model. Note that this method is really a comparison method, s<strong>in</strong>ce the ma<strong>in</strong><br />

variables are determ<strong>in</strong>ed <strong>in</strong> the market. In standard U.S. practice, however, the closely<br />

related capitaliz<strong>in</strong>g <strong>of</strong> NOI is confounded with the DCF method under the general<br />

classification <strong>of</strong> the <strong>in</strong>come capitalization approach (see above).<br />

3. Residual method. Used for properties ripe for development or redevelopment or for<br />

bare land only.<br />

4. Pr<strong>of</strong>it method. Used for trad<strong>in</strong>g properties where evidence <strong>of</strong> rates is slight, such as<br />

hotels, restaurants and old-age homes. A three-year average <strong>of</strong> operat<strong>in</strong>g <strong>in</strong>come<br />

(derived from the pr<strong>of</strong>it and loss or <strong>in</strong>come statement) is capitalized us<strong>in</strong>g an<br />

appropriate yield. Note that s<strong>in</strong>ce the variables used are <strong>in</strong>herent to the property and<br />

are not market-derived, therefore unless appropriate adjustments are made, the<br />

result<strong>in</strong>g value will be value-<strong>in</strong>-use or <strong>in</strong>vestment value, not market value.<br />

5. Cost method. Used for land and build<strong>in</strong>gs <strong>of</strong> special character for which pr<strong>of</strong>it figures<br />

cannot be obta<strong>in</strong>ed or land and build<strong>in</strong>gs for which there is no market because <strong>of</strong> their<br />

public service or heritage characteristics. Both the residual method and the cost method<br />

would be grouped <strong>in</strong> the United States under the cost approach (see above).<br />

Under the current RICS Valuation Standards, the follow<strong>in</strong>g bases <strong>of</strong> value are<br />

recognized:<br />

Market value (see PS 3.2);<br />

Market rent (see PS 3.3);<br />

Worth (<strong>in</strong>vestment value) (see PS 3.4); and<br />

Fair value (see PS 3.5)<br />

Scope <strong>of</strong> Work<br />

Further Considerations<br />

While the Uniform Standards <strong>of</strong> Pr<strong>of</strong>essional Appraisal Practice (<strong>US</strong>PAP) has always<br />

required appraisers to identify the scope <strong>of</strong> work needed to produce credible results, it<br />

Page 196 <strong>of</strong> 289


ecame clear <strong>in</strong> recent years that appraisers did not fully understand the process for<br />

develop<strong>in</strong>g this adequately. In formulat<strong>in</strong>g the scope <strong>of</strong> work for a credible appraisal, the<br />

concept <strong>of</strong> a limited versus complete appraisal and the use <strong>of</strong> the Departure Rule<br />

caused confusion to clients, appraisers, and appraisal reviewers. In order to deal with<br />

this, <strong>US</strong>PAP was updated <strong>in</strong> 2006 with what came to be known as the Scope <strong>of</strong> Work<br />

Project. Follow<strong>in</strong>g this, <strong>US</strong>PAP elim<strong>in</strong>ated both the Departure Rule and the concept <strong>of</strong> a<br />

limited appraisal, and a new Scope <strong>of</strong> Work rule was created. In this, appraisers were to<br />

identify six key parts <strong>of</strong> the appraisal problem at the beg<strong>in</strong>n<strong>in</strong>g <strong>of</strong> each assignment:<br />

<br />

<br />

<br />

<br />

<br />

<br />

Client and other <strong>in</strong>tended users<br />

Intended use <strong>of</strong> the appraisal and appraisal report<br />

Def<strong>in</strong>ition <strong>of</strong> value (e.g., market, foreclosure, <strong>in</strong>vestment)<br />

Any hypothetical conditions or extraord<strong>in</strong>ary assumptions<br />

Effective date <strong>of</strong> the appraisal analysis<br />

Salient features <strong>of</strong> the subject property<br />

Based on these factors, the appraiser must identify the scope <strong>of</strong> work needed, <strong>in</strong>clud<strong>in</strong>g<br />

the methodologies to be used, the extent <strong>of</strong> <strong>in</strong>vestigation, and the applicable<br />

approaches to value. Currently, m<strong>in</strong>imum standards for scope <strong>of</strong> work are:<br />

<br />

<br />

Expectations <strong>of</strong> the client and other users<br />

<strong>The</strong> actions <strong>of</strong> the appraiser's peers who carry out similar assignments<br />

<strong>The</strong> scope <strong>of</strong> work is the first step <strong>in</strong> any appraisal process. Without a strictly def<strong>in</strong>ed<br />

scope <strong>of</strong> work, an appraisal's conclusions may not be viable. By def<strong>in</strong><strong>in</strong>g the scope <strong>of</strong><br />

work, an appraiser can properly develop a value for a given property for the <strong>in</strong>tended<br />

user, and for the <strong>in</strong>tended use <strong>of</strong> the appraisal. <strong>The</strong> whole idea <strong>of</strong> "scope <strong>of</strong> work" is to<br />

provide clear expectations and guidel<strong>in</strong>es for all parties as to what the appraisal report<br />

does, and does not, cover; and how much work has gone <strong>in</strong>to it.<br />

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Types <strong>of</strong> Ownership Interest<br />

<strong>The</strong> type <strong>of</strong> real estate "<strong>in</strong>terest" that is be<strong>in</strong>g valued, must also be known and stated <strong>in</strong><br />

the report. Usually, for most sales, or mortgage f<strong>in</strong>anc<strong>in</strong>gs, the fee simple <strong>in</strong>terest is<br />

be<strong>in</strong>g valued. <strong>The</strong> fee simple <strong>in</strong>terest is the most complete bundle <strong>of</strong> rights available.<br />

However, <strong>in</strong> many situations, and <strong>in</strong> many societies which do not follow English<br />

Common Law or the Napoleonic Code, some other <strong>in</strong>terest may be more common.<br />

While there are many different possible <strong>in</strong>terests <strong>in</strong> real estate, the three most common<br />

are:<br />

<br />

<br />

<br />

Fee Simple Value (known <strong>in</strong> the UK as freehold) – <strong>The</strong> most complete<br />

ownership <strong>in</strong> real estate, subject <strong>in</strong> common law countries to the powers<br />

reserved to the state (taxation, escheat, em<strong>in</strong>ent doma<strong>in</strong>, and police power)<br />

Leased Fee Value – This is simply the fee simple <strong>in</strong>terest encumbered by a<br />

lease. If the lease is at market rent, then the leased fee value and the fee simple<br />

value are equal. However, if the tenant pays more or less than market, the<br />

residual owned by the leased fee holder, plus the market value <strong>of</strong> the tenancy,<br />

may be more or less than the fee simple value.<br />

Leasehold Value – <strong>The</strong> <strong>in</strong>terest held by a tenant. If the tenant pays market rent,<br />

then the leasehold has no market value. However, if the tenant pays less than<br />

market, the difference between the present value <strong>of</strong> what is paid and the present<br />

value <strong>of</strong> market rents would be a positive leasehold value. For example, a major<br />

cha<strong>in</strong> retailer may be able to negotiate a below-market lease to serve as the<br />

anchor tenant for a shopp<strong>in</strong>g center. This leasehold value may be transferable to<br />

another anchor tenant, and if so the retail tenant has a positive <strong>in</strong>terest <strong>in</strong> the real<br />

estate.<br />

Home Inspection<br />

If a home <strong>in</strong>spection is performed prior to the appraisal and that report is provided to the<br />

appraiser, a more useful appraisal can result. This is because the appraiser, who is not<br />

expert home <strong>in</strong>spector, will be told if there are substantial construction defects or major<br />

repairs required. This <strong>in</strong>formation can cause the appraiser to arrive at a different,<br />

probably lower, op<strong>in</strong>ion <strong>of</strong> value. This <strong>in</strong>formation may be particularly helpful if one or<br />

both <strong>of</strong> the parties request<strong>in</strong>g the appraisal may end up <strong>in</strong> possession <strong>of</strong> the property.<br />

This is sometimes the case with property <strong>in</strong> a divorce settlement or a legal judgment.<br />

Real Estate Appraisal Data Entry<br />

Appraisers provide all the data needed to <strong>in</strong>put <strong>in</strong> appraisal reports. A data entry team<br />

does the rest; it searches, consolidates and types the data <strong>in</strong>to reports, such as subject<br />

data and comparable grid prior sales history. Most data entry organisations work 24<br />

hours a day, 7 days a week, 365 days a year. <strong>The</strong> appraiser sends empty reports, and<br />

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the data entry team works all day and night, even while the appraiser is sleep<strong>in</strong>g. This<br />

process <strong>in</strong>creases the appraiser's efficiency, and frees up his/her time.<br />

Mass Appraisal and Automated Valuation Models<br />

Automated valuation models (AVMs) are grow<strong>in</strong>g <strong>in</strong> acceptance. <strong>The</strong>se rely on<br />

statistical models such as multiple regression analysis or geographic <strong>in</strong>formation<br />

systems (GIS). While AVMs can be quite accurate, particularly when used <strong>in</strong> a very<br />

homogeneous area, there is also evidence that AVMs are not accurate <strong>in</strong> other<br />

<strong>in</strong>stances such as when they are used <strong>in</strong> rural areas, or when the appraised property<br />

does not conform well to the neighborhood.<br />

Govern<strong>in</strong>g<br />

Authorities and<br />

Pr<strong>of</strong>essional<br />

Organizations<br />

International<br />

<strong>The</strong> various U.S.<br />

appraisal groups and<br />

<strong>in</strong>ternational pr<strong>of</strong>essional<br />

appraisal organizations<br />

have started collaborat<strong>in</strong>g<br />

<strong>in</strong> recent years towards<br />

the development <strong>of</strong><br />

International Valuation<br />

Standards. This will facilitate global real estate appraisal standards, a much-needed<br />

adjunct to real estate <strong>in</strong>vestment portfolios which cross national boundaries. Some<br />

appraisal groups are already <strong>in</strong>ternational organizations and thus, to some extent,<br />

already <strong>in</strong>corporate some level <strong>of</strong> global standards.<br />

<strong>The</strong> International Valuation Standards Council (IVSC) is a non-governmental<br />

organization (NGO) member <strong>of</strong> the United Nations with membership that encompasses<br />

all the major national valuation standard-setters and pr<strong>of</strong>essional associations from 41<br />

different countries (<strong>in</strong>clud<strong>in</strong>g the Appraisal Institute, the American Society <strong>of</strong> Appraisers,<br />

the RICS, the [Practis<strong>in</strong>g Valuers Association <strong>of</strong> India] and the Appraisal Institute <strong>of</strong><br />

Canada). IVSC publishes the International Valuation Standards (IVS), now <strong>in</strong> its 8th<br />

edition.<br />

Germany<br />

In Germany, real estate appraisal is known as real estate valuation<br />

(Immobilienbewertung). Real estate appraisers (Immobilienbewerter or Gutachter) can<br />

qualify to become a Öffentlich bestellter und vereidigter Sachverständiger (<strong>of</strong>ficially<br />

Page 199 <strong>of</strong> 289


appo<strong>in</strong>ted and sworn expert). However, this formerly very important title has lost a lot <strong>of</strong><br />

its importance over the past years, but still is <strong>of</strong> some value <strong>in</strong> court procedures. <strong>The</strong><br />

title is not generally required for appraisals.<br />

Govern<strong>in</strong>g Authorities<br />

Real estate appraisal <strong>in</strong> Germany is partly codified by law. <strong>The</strong> federal Baugesetzbuch<br />

(abbr. BauGB, "German statutory code on build<strong>in</strong>g and construction'") conta<strong>in</strong>s<br />

guidel<strong>in</strong>es on govern<strong>in</strong>g authorities, def<strong>in</strong>es the term market value and refers to<br />

cont<strong>in</strong>uative rules (chapter 3, articles 192 ff.). Each municipality (city or adm<strong>in</strong>istrative<br />

district) must form a Gutachterausschuss (appraisal committee), consist<strong>in</strong>g <strong>of</strong> a<br />

chairman and honorary members. <strong>The</strong> committee gathers <strong>in</strong>formation on all real estate<br />

deals (it is mandatory to send a copy <strong>of</strong> each notarial purchase contract to the<br />

Gutachterausschuss) and <strong>in</strong>cludes it <strong>in</strong> the Kaufpreissammlung (purchase price<br />

database). Most committees publish an <strong>of</strong>ficial real estate market report every two<br />

years, <strong>in</strong> which besides other <strong>in</strong>formation on comparables the land value is determ<strong>in</strong>ed.<br />

<strong>The</strong> committees also perform appraisals on behalf <strong>of</strong> public authorities.<br />

Federal Regulations<br />

<strong>The</strong> BauGB def<strong>in</strong>es the Verkehrswert or Marktwert (market value, both terms with<br />

identical mean<strong>in</strong>g) as follows: "<strong>The</strong> market value is determ<strong>in</strong>ed by the price that can be<br />

realized at the date <strong>of</strong> valuation, <strong>in</strong> an arm's length transaction, with due regard to the<br />

legal situation and the effective characteristics, the nature and lay <strong>of</strong> the premises or<br />

any other subject <strong>of</strong> the valuation" (non-<strong>of</strong>ficial translation). <strong>The</strong> <strong>in</strong>tention, as <strong>in</strong> other<br />

countries, is to <strong>in</strong>clude all objective <strong>in</strong>fluences and to exclude all <strong>in</strong>fluences result<strong>in</strong>g<br />

from the subjective circumstances <strong>of</strong> the <strong>in</strong>volved parties.<br />

This federal law is supported by the Wertermittlungsverordnung (abbr. WertV,<br />

"regulation on the determ<strong>in</strong>ation <strong>of</strong> value"). <strong>The</strong> WertV def<strong>in</strong>es the codified valuation<br />

approaches and the general valuation technique. German codified valuation<br />

approaches (other approaches such as DCF or residual approach are also permitted,<br />

but not codified) are the:<br />

<br />

<br />

<br />

Vergleichswertverfahren (sales comparison approach) – used where good<br />

evidence <strong>of</strong> previous sales is available and for owner-occupied assets, especially<br />

condom<strong>in</strong>iums and s<strong>in</strong>gle-family houses;<br />

Ertragswertverfahren (German <strong>in</strong>come approach) – standard procedure for<br />

property that produces future cash flows from the lett<strong>in</strong>g <strong>of</strong> the property;<br />

Sachwertverfahren (German cost approach) – used for specialised property<br />

where none <strong>of</strong> the above approaches applies, e. g. public build<strong>in</strong>gs.<br />

WertV's general regulations are further supported by the Wertermittlungsrichtl<strong>in</strong>ie (abbr.<br />

WertR, "directive on the determ<strong>in</strong>ation <strong>of</strong> value"). <strong>The</strong> WertR provides templates for<br />

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calculations, tables (e.g., economic depreciation) and guidel<strong>in</strong>es for the consideration <strong>of</strong><br />

different <strong>in</strong>fluences. WertV and WertR are not b<strong>in</strong>d<strong>in</strong>g for appraisals for non<strong>of</strong>ficial use,<br />

nonetheless they should be regarded as best practice or Generally Accepted (German)<br />

Valuation Practice (GAVP).<br />

Comments on German GAVP<br />

In most regards Generally Accepted (German) Valuation Pr<strong>in</strong>ciples is consistent with<br />

<strong>in</strong>ternational practice. <strong>The</strong> <strong>in</strong>vestment market weighs the <strong>in</strong>come approach most<br />

heavily. However, there are some important differences:<br />

<br />

<br />

<br />

<br />

<br />

Land and improvements are treated separately. German GAVP assumes that the<br />

land can be used <strong>in</strong>def<strong>in</strong>itely, but the build<strong>in</strong>gs have a limited lifespan; This<br />

co<strong>in</strong>cides with the balanc<strong>in</strong>g <strong>of</strong> the assets. <strong>The</strong> value <strong>of</strong> the land is determ<strong>in</strong>ed by<br />

the sales comparison approach <strong>in</strong> both the <strong>in</strong>come and cost approaches, us<strong>in</strong>g<br />

the data accumulated by the Gutachterausschuss which is then added to the<br />

build<strong>in</strong>g value.<br />

In order to account for the usage <strong>of</strong> the land, the net operat<strong>in</strong>g <strong>in</strong>come is reduced<br />

by the Liegenschaftsz<strong>in</strong>s (<strong>in</strong>terest paid to the land-owner by the owner <strong>of</strong> the<br />

build<strong>in</strong>g, i.e., ground rent). <strong>The</strong> Liegenschaftsz<strong>in</strong>s is the product <strong>of</strong> the land value<br />

and the Liegenschaftsz<strong>in</strong>ssatz (<strong>in</strong>terest rate for land use). <strong>The</strong><br />

Liegenschaftsz<strong>in</strong>ssatz is the equivalent <strong>of</strong> the yield—with some important<br />

differences—and is also determ<strong>in</strong>ed by the Gutachterausschuss.<br />

Unlike the All Risks Yield (ARY) <strong>in</strong> UK practice, the Liegenschaftsz<strong>in</strong>ssatz (abbr.<br />

LZ) does not <strong>in</strong>clude an allowance for default (not to be confused with structural<br />

vacancy), therefore this needs to be subtracted from gross operat<strong>in</strong>g <strong>in</strong>come. As<br />

a result, the Liegenschaftsz<strong>in</strong>ssatz will usually be lower than the All Risks Yield.<br />

Based on the assumption that the economic life <strong>of</strong> the improvements is limited,<br />

the yield and rema<strong>in</strong><strong>in</strong>g economic life determ<strong>in</strong>e the build<strong>in</strong>g value from the net<br />

operat<strong>in</strong>g <strong>in</strong>come.<br />

Contracts <strong>in</strong> Germany generally prescribe that the landlord bears a higher portion<br />

<strong>of</strong> ma<strong>in</strong>tenance and operat<strong>in</strong>g costs than their counterparts <strong>in</strong> the United States<br />

and UK.<br />

Criticism<br />

Mathematically the dist<strong>in</strong>ction between land and improvements <strong>in</strong> the <strong>in</strong>come approach<br />

will have no impact on the overall value when the rema<strong>in</strong><strong>in</strong>g economic life is more than<br />

thirty years. For this reason it has become quite common to use the Vere<strong>in</strong>fachtes<br />

Ertragswertverfahren (simplified <strong>in</strong>come approach), omitt<strong>in</strong>g the land value and the<br />

Liegenschaftsz<strong>in</strong>s. However, the separate treatment <strong>of</strong> land and build<strong>in</strong>gs leads to more<br />

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precise results for older build<strong>in</strong>gs, especially for commercial build<strong>in</strong>gs, which typically<br />

have a shorter economic life than residential build<strong>in</strong>gs.<br />

An advantage <strong>of</strong> the comparatively high degree <strong>of</strong> standardization practiced by<br />

pr<strong>of</strong>essional appraisers, is the greater ability to check an appraisal for <strong>in</strong>consistency,<br />

accuracy and transparency.<br />

Pr<strong>of</strong>essional Organizations<br />

<strong>The</strong> Federal German Organisation <strong>of</strong> Appo<strong>in</strong>ted and Sworn Experts (Bundesverband<br />

Deutscher Sachverständiger und Fachgutachter, abbr. BDSF) is the ma<strong>in</strong> pr<strong>of</strong>essional<br />

organization encompass<strong>in</strong>g the majority <strong>of</strong> licensed appraisers <strong>in</strong> Germany. In recent<br />

years, with the move towards a more global outlook <strong>in</strong> the valuation pr<strong>of</strong>ession, the<br />

RICS has ga<strong>in</strong>ed a foothold <strong>in</strong> Germany, somewhat at the expense <strong>of</strong> the BDSF.<br />

Another German Organisation <strong>of</strong> Appo<strong>in</strong>ted and Sworn Experts ist the (Deutsche<br />

Sachverständigen Gesellschaft, abbr. DESAG) This organization also <strong>in</strong>cludes a large<br />

number <strong>of</strong> licensed appraisers <strong>in</strong> Germany.<br />

With special focus on hypothetical value, <strong>in</strong> 1996, German banks with real estate<br />

f<strong>in</strong>anc<strong>in</strong>g activities formed the HypZert GmbH, an association for the certification <strong>of</strong> real<br />

estate valuers. A HypZert qualification is regarded as mandatory by many German<br />

banks.<br />

Israel<br />

In Israel, the real estate appraisal pr<strong>of</strong>ession is regulated by the Council <strong>of</strong> Land<br />

Valuers, an organ <strong>of</strong> the M<strong>in</strong>istry <strong>of</strong> Justice; the largest pr<strong>of</strong>essional organization,<br />

encompass<strong>in</strong>g the majority <strong>of</strong> appraisers/land valuers is the Association <strong>of</strong> Land<br />

Valuers. Valuers must be registered with the Council, which is a statutory body set up<br />

by law, and which oversees the tra<strong>in</strong><strong>in</strong>g and adm<strong>in</strong>isters the national pr<strong>of</strong>essional<br />

exams that are a prerequisite for atta<strong>in</strong><strong>in</strong>g registration. In 2005 the Council set up a<br />

Valuation Standards Committee with the purpose <strong>of</strong> develop<strong>in</strong>g and promulgat<strong>in</strong>g<br />

standards that would reflect best practice; these have tended to follow a rules-based<br />

approach.<br />

Historically, most valuations <strong>in</strong> Israel were statutory valuations (such as valuations<br />

performed for purposes <strong>of</strong> Betterment Tax, a tax adm<strong>in</strong>istered on any ga<strong>in</strong>s accru<strong>in</strong>g to<br />

the property by way <strong>of</strong> changes to the local plann<strong>in</strong>g) as well as valuations performed<br />

for purposes <strong>of</strong> bank lend<strong>in</strong>g. S<strong>in</strong>ce Israel implemented the International F<strong>in</strong>ancial<br />

Report<strong>in</strong>g Standards (IFRS) <strong>in</strong> 2008, the pr<strong>of</strong>ession has been engaged <strong>in</strong> perform<strong>in</strong>g<br />

valuations for purposes <strong>of</strong> f<strong>in</strong>ancial report<strong>in</strong>g.<br />

United K<strong>in</strong>gdom<br />

In the UK, real estate appraisal is known as property valuation and a real estate<br />

appraiser is a land valuer or property valuer (usually a qualified chartered surveyor who<br />

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specializes <strong>in</strong> property valuation). Property valuation <strong>in</strong> the UK is regulated by the Royal<br />

Institution <strong>of</strong> Chartered Surveyors (RICS), a pr<strong>of</strong>essional body encompass<strong>in</strong>g all <strong>of</strong> the<br />

build<strong>in</strong>g and property-related pr<strong>of</strong>essions. <strong>The</strong> RICS pr<strong>of</strong>essional guidel<strong>in</strong>es for valuers<br />

are published <strong>in</strong> what is commonly known as the Red Book. <strong>The</strong> 2011 version was the<br />

RICS Valuation Standards 7th Edition (2 May 2011), supersed<strong>in</strong>g an edition published<br />

<strong>in</strong> 2007 with later amendments. <strong>The</strong> RICS Valuation Standards conta<strong>in</strong>s mandatory<br />

rules, best practice guidance and related commentary. Changes to the standards are<br />

approved by the RICS Valuation Pr<strong>of</strong>essional Group Board, and the Red Book is<br />

updated accord<strong>in</strong>gly on a regular basis. While based <strong>in</strong> the UK, RICS is a global<br />

organization and has become very active <strong>in</strong> the United States <strong>in</strong> recent years through its<br />

affiliation with the Counselors <strong>of</strong> Real Estate, a division <strong>of</strong> the National Association <strong>of</strong><br />

Realtors.<br />

United States<br />

Appraisal practice <strong>in</strong> the United States<br />

is regulated by state. <strong>The</strong> Appraisal<br />

Foundation (TAF) is the primary<br />

standards body; its Appraisal Standards<br />

Board (ASB) promulgates and updates<br />

best practices as codified <strong>in</strong> the Uniform<br />

Standards <strong>of</strong> Pr<strong>of</strong>essional Appraisal<br />

Practice (<strong>US</strong>PAP), while its Appraisal<br />

Qualifications Board (AQB) promulgates<br />

m<strong>in</strong>imum standards for appraiser<br />

certification and licens<strong>in</strong>g.<br />

<strong>The</strong> federal government regulates appraisers <strong>in</strong>directly because if the Appraisal<br />

Subcommittee (ASC) <strong>of</strong> the Federal F<strong>in</strong>ancial Institutions Exam<strong>in</strong>ation Council (FFIEC)<br />

f<strong>in</strong>ds that a particular state's appraiser regulation and certification program is<br />

<strong>in</strong>adequate, then under federal regulations all appraisers <strong>in</strong> that state would no longer<br />

be eligible to conduct appraisals for federally chartered banks. <strong>The</strong> ASC oversees the<br />

TAF. Banks make widespread use <strong>of</strong> mortgage loans and mortgage-backed securities,<br />

and would be unable to do so without appraisals.<br />

<strong>The</strong> F<strong>in</strong>ancial Institutions Reform, Recovery, and Enforcement Act <strong>of</strong> 1989 (FIRREA)<br />

demanded all the states to develop systems for licens<strong>in</strong>g and certify<strong>in</strong>g real estate<br />

appraisers. To accomplish this, the Appraisal Subcommittee (ASC) was formed with<strong>in</strong><br />

the Federal F<strong>in</strong>ancial Institutions Exam<strong>in</strong>ation Council (FFIEC), with representatives<br />

from the various Federal mortgage regulatory agencies. Thus, currently all the real<br />

estate appraisers must be state-licensed and certified. But prior to the 1990s, there<br />

were no commonly accepted standards either for appraisal quality or for appraiser<br />

licensure. In the 1980s, an ad-hoc committee represent<strong>in</strong>g various appraisal<br />

pr<strong>of</strong>essional organizations <strong>in</strong> the United States and Canada met to codify the best<br />

practices <strong>in</strong>to what became known as the Uniform Standards <strong>of</strong> Pr<strong>of</strong>essional Appraisal<br />

Practice (<strong>US</strong>PAP). <strong>The</strong> U.S. Sav<strong>in</strong>gs and Loan Crisis resulted <strong>in</strong> <strong>in</strong>creased federal<br />

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egulation via the F<strong>in</strong>ancial Institutions Reform, Recovery and Enforcement Act <strong>of</strong> 1989,<br />

which required federal lend<strong>in</strong>g regulators to adopt appraisal standards. A nonpr<strong>of</strong>it<br />

organization, <strong>The</strong> Appraisal Foundation (TAF), was formed by the same organizations<br />

that had developed <strong>US</strong>PAP, and the copyright for <strong>US</strong>PAP was signed over to TAF.<br />

Federal oversight <strong>of</strong> TAF is provided by the Appraisal Subcommittee, made up <strong>of</strong><br />

representatives <strong>of</strong> various federal lend<strong>in</strong>g regulators. TAF carries out its work through<br />

two boards: the Appraisal Standards Board promulgates and updates <strong>US</strong>PAP; the<br />

Appraisal Qualifications Board (AQB) promulgates m<strong>in</strong>imum recommended standards<br />

for appraiser certification and licensure. Dur<strong>in</strong>g the 1990s, all <strong>of</strong> the states adopted<br />

<strong>US</strong>PAP as the govern<strong>in</strong>g standards with<strong>in</strong> their states and developed licensure<br />

standards which met or exceeded the recommendations <strong>of</strong> TAF. Also, the various state<br />

and federal courts have adopted <strong>US</strong>PAP for real estate litigation and all <strong>of</strong> the federally<br />

lend<strong>in</strong>g regulators adopt <strong>US</strong>PAP for mortgage f<strong>in</strong>ance appraisal.<br />

Pr<strong>of</strong>essional Organizations<br />

In addition, there are pr<strong>of</strong>essional appraisal organizations, organized as private<br />

nonpr<strong>of</strong>it organizations that date to the Great Depression <strong>of</strong> the 1930s. One <strong>of</strong> the<br />

oldest <strong>in</strong> the United States is the American Society <strong>of</strong> Farm Managers and Rural<br />

Appraisers (ASFMRA), which was founded <strong>in</strong> 1929. Others were founded as needed<br />

and opportunity arose <strong>in</strong> specialized fields, such as the Appraisal Institute (AI) and the<br />

American Society <strong>of</strong> Appraisers (ASA) founded <strong>in</strong> the 1930s, the International Right <strong>of</strong><br />

Way Association and the National Association <strong>of</strong> Realtors which were founded after<br />

World War II. <strong>The</strong>se organizations all existed to establish and enforce standards, but<br />

their <strong>in</strong>fluence waned with <strong>in</strong>creas<strong>in</strong>g government regulation. In March 2007, three <strong>of</strong><br />

these organizations (ASFMRA, ASA, and AI) announced an agreement <strong>in</strong> pr<strong>in</strong>ciple to<br />

merge. NAIFA (National Association <strong>of</strong> Independent Fee Appraisers), a charter member<br />

<strong>of</strong> <strong>The</strong> Appraisal Foundation, helped to write Title XI, the Real Estate Appraisal Reform<br />

Amendments. It was founded <strong>in</strong> 1961.<br />

One <strong>of</strong> the most recognized pr<strong>of</strong>essional organizations <strong>of</strong> real estate appraisers <strong>in</strong><br />

America is the Appraisal Institute (AI). It was formed from the merger <strong>of</strong> the American<br />

Institute <strong>of</strong> Real Estate Appraisers and the Society <strong>of</strong> Real Estate Appraisers. Founded<br />

along with others <strong>in</strong> the 1930s, the two organizations merged <strong>in</strong> the 1990s to form the<br />

AI. This group awards two pr<strong>of</strong>essional designations: SRA, to residential appraisers,<br />

and MAI, to commercial appraisers. <strong>The</strong> Institute has enacted rigorous regulations<br />

regard<strong>in</strong>g the use and display <strong>of</strong> these designations. For example, contrary to popular<br />

belief, "MAI" does not stand for "Member, Appraisal Institute". Accord<strong>in</strong>g to the <strong>in</strong>stitute,<br />

the letters "do not represent specific words", and an MAI may not use the words<br />

"Member, Appraisal Institute" <strong>in</strong> lieu <strong>of</strong> the MAI mark. <strong>The</strong> primary motive for this rule is<br />

to prevent trademark dilution.<br />

<strong>The</strong> National Association <strong>of</strong> Appraisers (NAA) is the fastest grow<strong>in</strong>g appraiser<br />

organization <strong>in</strong> the United States and was formed with a purpose <strong>of</strong> unit<strong>in</strong>g ALL those<br />

engaged <strong>in</strong> the appraisal pr<strong>of</strong>ession for the purpose <strong>of</strong> exert<strong>in</strong>g a beneficial <strong>in</strong>fluence<br />

upon the pr<strong>of</strong>ession and to advocate appraiser <strong>in</strong>terests. <strong>The</strong> NAA has established an<br />

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advisory group consist<strong>in</strong>g <strong>of</strong> leadership at the state organizations and coalitions called<br />

the Board <strong>of</strong> Governors where those states can help guide the NAA <strong>in</strong> act<strong>in</strong>g <strong>in</strong> the best<br />

<strong>in</strong>terest <strong>of</strong> all appraisers. <strong>The</strong> NAA also has a designated membership, MNAA (Member<br />

<strong>of</strong> the National Association <strong>of</strong> Appraisers, who is an <strong>in</strong>dividual who holds an appraisal<br />

license, certification or similar appraisal credential issued by a governmental agency;<br />

and who accepts the membership requirements and objectives <strong>of</strong> the National<br />

Association <strong>of</strong> Appraisers.<br />

Other lead<strong>in</strong>g appraisal<br />

organizations <strong>in</strong>clude the<br />

National Association <strong>of</strong><br />

Independent Fee Appraisers<br />

and the National Association <strong>of</strong><br />

Master Appraisers, which were<br />

also found<strong>in</strong>g sponsormembers<br />

<strong>of</strong> the Appraisal<br />

Foundation.<br />

<strong>The</strong><br />

Massachusetts Board <strong>of</strong> Real<br />

Estate Appraisers (MBREA),<br />

founded <strong>in</strong> 1934, is the only<br />

state appraisal association that<br />

has been named a sponsor <strong>of</strong><br />

the Appraisal Foundation. In<br />

recent years, the Royal<br />

Institution <strong>of</strong> Chartered<br />

Surveyors (RICS) has become highly regarded <strong>in</strong> the United States, and has formed a<br />

collaboration with the Counselors <strong>of</strong> Real Estate, a division <strong>of</strong> the National Association<br />

<strong>of</strong> Realtors. RICS, which is headquartered <strong>in</strong> London, operates on a global scale and<br />

awards the designations MRICS and FRICS to Members and Fellows <strong>of</strong> RICS. <strong>The</strong><br />

Real Estate Counsel<strong>in</strong>g Group <strong>of</strong> America is a small group <strong>of</strong> top U.S. appraisers and<br />

real estate analysts who have collectively authored a disproportionately large body <strong>of</strong><br />

appraisal methodology and, the National Association <strong>of</strong> Real Estate Appraisers<br />

(NAREA), founded <strong>in</strong> 1966, with the goal to elevate the pr<strong>of</strong>essionalism and success <strong>of</strong><br />

the Appraisal Industry.<br />

<strong>The</strong> lead<strong>in</strong>g appraisal organization for personal property valuation is the American<br />

Society <strong>of</strong> Appraisers which is a sponsor member <strong>of</strong> the Appraisal Foundation and<br />

awards the ASA (Accredited Senior Appraiser) designation to candidates who complete<br />

five years <strong>of</strong> documented appraisal experience, pass a comprehensive exam along with<br />

required commercial and/or residential appraisal coursework, and submit two appraisal<br />

reports for review.<br />

Russia<br />

In Russia, on par with many other former Soviet Union economies, the pr<strong>of</strong>ession<br />

emerged <strong>in</strong> the first half <strong>of</strong> 1990, and represented a clean break with the former practice<br />

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<strong>of</strong> <strong>in</strong>dustry-specific pric<strong>in</strong>g specialists and with activities <strong>of</strong> statutory price-sett<strong>in</strong>g<br />

authorities <strong>in</strong> the Soviet Union. Currently, property valuation, as it is called, is a<br />

specialism with<strong>in</strong> general-purpose "valuation pr<strong>of</strong>ession", which functions <strong>in</strong> a selfregulatory<br />

mode overseen by "self-regulated pr<strong>of</strong>essional organizations" <strong>of</strong> valuers<br />

(SROs),i.e. public supervisory entities established under provisions <strong>of</strong> special legislation<br />

(which very loosely can be likened to trade unions). <strong>The</strong> pr<strong>in</strong>cipal among those is<br />

Russian Society <strong>of</strong> Appraisers, established <strong>in</strong> 1993 and presently exercis<strong>in</strong>g oversight<br />

over about half <strong>of</strong> the valuation pr<strong>of</strong>ession membership. Among its 6000+ members a<br />

sizeable majority are real property valuers, rubb<strong>in</strong>g shoulders with bus<strong>in</strong>ess and<br />

<strong>in</strong>tangible assets appraisers. <strong>The</strong> latter categories <strong>of</strong> valuers are also allowed to value<br />

property, though valuation pr<strong>of</strong>essionals tend to specialize. Valuers <strong>in</strong> Russia, <strong>in</strong>clud<strong>in</strong>g<br />

real property valuers, are <strong>in</strong>dividuals ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g their SRO membership and bear<strong>in</strong>g<br />

unlimited property liability for the result <strong>of</strong> their services, that is their pr<strong>of</strong>essional status<br />

is modeled on the organization <strong>of</strong> public notaries. Regardless <strong>of</strong> the fact, over 80% <strong>of</strong><br />

valuers tend to be employed by valuation or consult<strong>in</strong>g companies, and thus do not<br />

enter practice as stand-alone <strong>in</strong>dividual entrepreneurs. High-end appraisal services are<br />

pr<strong>in</strong>cipally represented by valuation arms <strong>of</strong> the International "Big-four" consultancies <strong>in</strong><br />

the country, but there also exist reputable national corporate valuation brands. Most <strong>of</strong><br />

valuations <strong>in</strong> the country tend to be performed for statutory purposes envisaged by the<br />

Federal Valuation Law (latest amendment <strong>in</strong> 2013) and other related laws, such as the<br />

Jo<strong>in</strong>t Stock Companies Law. Such pieces <strong>of</strong> legislation provide for more than 20 socalled<br />

"mandatory cases <strong>of</strong> valuation", <strong>in</strong>clud<strong>in</strong>g valuations for privatization purposes,<br />

lend<strong>in</strong>g purposes, bankruptcy and liquidation etc. Valuations for corporate accounts<br />

used to be much more prom<strong>in</strong>ent before 2000, when the national account<strong>in</strong>g regulator<br />

ceased to <strong>in</strong>centivize the account<strong>in</strong>g fair value option. At present, the mass appraisal <strong>of</strong><br />

property for taxation purposes is also start<strong>in</strong>g to be outsourced by the Government to<br />

the <strong>in</strong>stitution <strong>of</strong> pr<strong>of</strong>essional valuers. Adjudication <strong>of</strong> valuer-certified estimates <strong>of</strong> value<br />

<strong>in</strong> case <strong>of</strong> the onset <strong>of</strong> disputes is conducted through the Experts Councils <strong>of</strong> valuers'<br />

SROs. Official courts tend to concur with the resolutions <strong>of</strong> such Councils. In some rare<br />

<strong>in</strong>stances the imprimatur <strong>of</strong> SRO's Experts Councils is also required for a valuation<br />

done by a particular valuer to enter <strong>in</strong>to effect. <strong>The</strong> technical details <strong>of</strong> practice <strong>of</strong> real<br />

estate valuers <strong>in</strong> Russia are aligned with the <strong>in</strong>ternational pattern. Members <strong>of</strong> the<br />

Russian Society <strong>of</strong> Appraisers are bound by the observance <strong>of</strong> the International<br />

Valuation Standards. <strong>The</strong>re also exists a set <strong>of</strong> three general-purpose governmentdeveloped<br />

"Federal Valuation Standards" (FSO 1,2,3 adopted <strong>in</strong> 2007, with the latest<br />

standard <strong>in</strong> the set deal<strong>in</strong>g with valuation <strong>of</strong> real estate—FSO 7-- adopted <strong>in</strong> late 2014)<br />

which prescribe a required uniform structure for valuation reports.<br />

Hong Kong<br />

<strong>The</strong> Hong Kong Institute <strong>of</strong> Surveyors (HKIS) regulates property surveyors <strong>in</strong> Hong<br />

Kong. Established <strong>in</strong> 1984, Institute is the only pr<strong>of</strong>essional organization represent<strong>in</strong>g<br />

the survey<strong>in</strong>g pr<strong>of</strong>ession <strong>in</strong> Hong Kong. <strong>The</strong> HKIS was statutorily <strong>in</strong>corporated by virtue<br />

<strong>of</strong> the Hong Kong Institute <strong>of</strong> Surveyors Ord<strong>in</strong>ance <strong>in</strong> January 1990 (Cap. 1148). In July<br />

1991, the Surveyors Registration Ord<strong>in</strong>ance (Cap. 417) was passed to set up a<br />

Registration Board to adm<strong>in</strong>ister the registration <strong>of</strong> surveyors. In May 2006, the number<br />

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<strong>of</strong> members had reached 6,723. A general practice surveyor advises on the best use <strong>of</strong><br />

the land, assesses the feasibility and viability <strong>of</strong> the proposed development project as<br />

well as the valuation, market<strong>in</strong>g, sale, leas<strong>in</strong>g and management <strong>of</strong> completed<br />

developments. It also has a website to provide real-time propertys' value estimate<br />

across whole Hong Kong.<br />

Australia<br />

<strong>The</strong> Australian Property Institute (API) was formed <strong>in</strong> 1926 as the Commonwealth<br />

Institute <strong>of</strong> Valuers. <strong>The</strong> Institute has undergone several name changes over the last<br />

century as the array <strong>of</strong> services <strong>of</strong>fered by its members expanded. It serves to regulate<br />

the pr<strong>of</strong>ession <strong>of</strong> property valuers Sydney, Australia.<br />

Today the API represents the <strong>in</strong>terests <strong>of</strong> more than 8,600 property pr<strong>of</strong>essionals<br />

throughout Australia. API members <strong>in</strong>clude residential, commercial and plant and<br />

mach<strong>in</strong>ery valuers, property advisers, property analysts, property fund and asset<br />

managers, property facility managers, property lawyers and property researchers and<br />

academics. <strong>The</strong> Institute’s primary role is to set and ma<strong>in</strong>ta<strong>in</strong> the highest standards <strong>of</strong><br />

pr<strong>of</strong>essional practice, education, ethics and pr<strong>of</strong>essional conduct for its members and<br />

the broader property pr<strong>of</strong>ession.<br />

New Zealand<br />

Real estate valuation <strong>in</strong> New Zealand is regulated by the New Zealand Institute <strong>of</strong><br />

Valuers ('NZIV') and the Valuers Registration Board <strong>of</strong> New Zealand ('VRB'), both <strong>of</strong><br />

which are statutory bodies established under the Valuers Act 1948 (NZ). <strong>The</strong> NZIV<br />

rema<strong>in</strong>s the statutory pr<strong>of</strong>essional body for valuers <strong>in</strong> New Zealand, with perpetual<br />

succession under the Act (which is under review as at 2015). <strong>The</strong> NZIV can make Rules<br />

as lower level legislation and has a Code <strong>of</strong> Ethics. <strong>The</strong> NZIV Rules were last changed<br />

<strong>in</strong> 2012 and rema<strong>in</strong> current. <strong>The</strong> VRB has jurisdiction <strong>in</strong> relation to serious matters<br />

affect<strong>in</strong>g the registration <strong>of</strong> a valuer <strong>in</strong>clud<strong>in</strong>g discipl<strong>in</strong>e where a valuer has acted <strong>in</strong><br />

such a way as to meet the threshold. <strong>The</strong> Valuers Act 1948 sets the threshold under<br />

s31 as matters where a valuer could be struck <strong>of</strong>f the register <strong>of</strong> valuers. <strong>The</strong> NZIV has<br />

power for discipl<strong>in</strong>e for relatively more m<strong>in</strong>or matters. <strong>The</strong> NZIV governs NZIV members<br />

and has power to discipl<strong>in</strong>e members and f<strong>in</strong>e them up to $500, admonish members or<br />

term<strong>in</strong>ate their membership. <strong>The</strong> designations "Registered Valuer" and "Public Valuer"<br />

are legally protected under the legislation, be<strong>in</strong>g reserved for Valuers Registered under<br />

the Act. <strong>The</strong> NZIV, under the Act, can admit non-valuer members (such as non-valuer<br />

land economists).<br />

<strong>The</strong>re are also voluntary pr<strong>of</strong>essional bodies for real estate valuation such as the Royal<br />

Institute <strong>of</strong> Chartered Surveyors ('RICS') and the Property Institute <strong>of</strong> New Zealand<br />

('PINZ'). Both <strong>of</strong> these bodies have a wider membership, beyond real estate valuers.<br />

PINZ has over 2,500 members <strong>in</strong> New Zealand and overseas (such as ex-pats <strong>in</strong> the<br />

UK, Asia and Australia). PINZ has a service level agreement with the NZIV, whereby<br />

PINZ contracts to perform tasks for the statutory pr<strong>of</strong>essional body, NZIV. PINZ was<br />

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formed <strong>in</strong> <strong>in</strong> 2000 to act as the voice <strong>of</strong> the property pr<strong>of</strong>essions. <strong>The</strong>re have been<br />

'political divisions' with<strong>in</strong> the valuation pr<strong>of</strong>ession <strong>in</strong> New Zealand, expressed at AGMs<br />

and through 'proxy wars' over the last 20 years or so. Many valuers are supportive <strong>of</strong><br />

amalgamation <strong>of</strong> the NZIV functions under the multi-discipl<strong>in</strong>ary voluntary body PINZ,<br />

whilst many others wish to reta<strong>in</strong> a separate statutory pr<strong>of</strong>essional body for valuers (the<br />

NZIV). <strong>The</strong>re are various reasons <strong>in</strong> the debate and the govern<strong>in</strong>g legislation is under<br />

review and amendments or repeal is be<strong>in</strong>g considered. At present, the Act rema<strong>in</strong>s <strong>in</strong><br />

force and the NZIV is legally a dist<strong>in</strong>ct body with statutory functions, powers and duties.<br />

PINZ <strong>in</strong>corporated much <strong>of</strong> the membership <strong>of</strong> the NZIV, the Institute <strong>of</strong> Plant &<br />

Mach<strong>in</strong>ery Valuers (IPMV) and the Property & Land Economy Institute <strong>of</strong> New Zealand<br />

(PLEINZ). PINZ now represents the <strong>in</strong>terests <strong>of</strong> valuers, property and facilities<br />

managers, property advisors and plant and mach<strong>in</strong>ery valuers. PINZ has developed <strong>in</strong>to<br />

one <strong>of</strong> the largest pr<strong>of</strong>essional bodies for standards, qualifications and ethics across all<br />

facets <strong>of</strong> the property pr<strong>of</strong>ession with<strong>in</strong> New Zealand. It works with government, <strong>in</strong>dustry<br />

and other pr<strong>of</strong>essional associations, education stakeholders and the media to promote<br />

its standards and views.<br />

In New Zealand, the terms "valuation" and "valuer" usually relates to one who<br />

undertakes that pr<strong>of</strong>essional role <strong>in</strong> terms <strong>of</strong> the Valuer Act 1948 requirements or the<br />

unregulated or voluntarily self-regulated (if members <strong>of</strong> PINZ) plant and mach<strong>in</strong>ery,<br />

mar<strong>in</strong>e or art valuers. Whereas, the term "appraisal" is usually related to an estimate by<br />

a real estate sales person or licensed agent under the Real Estate Agents Act 2008.<br />

<strong>The</strong> Real Estate Institute <strong>of</strong> New Zealand <strong>in</strong>cludes many valuer members, but the<br />

govern<strong>in</strong>g legislation for sales and agency (disposal <strong>of</strong> <strong>in</strong>terests <strong>of</strong> land on behalf <strong>of</strong><br />

others) does not extend to <strong>in</strong>clude provision for that role by valuers regardless <strong>of</strong><br />

membership <strong>of</strong> NZIV, RICS or PINZ.<br />

<strong>The</strong>re is a key dist<strong>in</strong>ction between the role <strong>of</strong> a real estate agent and a valuer, as an<br />

agent may advocate for its pr<strong>in</strong>cipal's <strong>in</strong>terests, whereas a valuer must impartially and<br />

<strong>in</strong>dependently provide op<strong>in</strong>ion as to value. Lawyers, Conveyancers and Real Estate<br />

Agents are permitted to act <strong>in</strong> the sale <strong>of</strong> real estate under quite different legislation<br />

from that which governs valuers. <strong>The</strong> provision for the role <strong>in</strong> relation to Lawyers and<br />

Conveyancers is the Lawyers and Conveyancers 2006.<br />

In 2011 to 2015, the number <strong>of</strong> Registered Valuers <strong>in</strong> New Zealand has generally<br />

between only around 900 to 950 each year. This is an age<strong>in</strong>g 'top heavy' pr<strong>of</strong>essional<br />

with difficulty reta<strong>in</strong><strong>in</strong>g new and young members due to pay, work stress and the recent<br />

advent <strong>of</strong> 'clear<strong>in</strong>g houses' for banks to order valuations for mortgage purposes. <strong>The</strong><br />

clear<strong>in</strong>g houses have largely ended the long-stand<strong>in</strong>g local practice <strong>of</strong> members <strong>of</strong> the<br />

public seek<strong>in</strong>g advice directly from a valuer. <strong>The</strong> use <strong>of</strong> electronic estimates based on<br />

Rat<strong>in</strong>g Values (Local Government mass appraisal for levies) is also lead<strong>in</strong>g to a<br />

reduction <strong>in</strong> standard valuation work and is significantly affect<strong>in</strong>g the viability <strong>of</strong> small<br />

valuation bus<strong>in</strong>esses. <strong>The</strong> pr<strong>of</strong>ession is <strong>in</strong> the process <strong>of</strong> a wider corporate restructur<strong>in</strong>g<br />

<strong>of</strong> the valuation market due to these factors with various perceptions with<strong>in</strong><br />

pr<strong>of</strong>ession as to the merits <strong>of</strong> the events <strong>of</strong> the last five years.<br />

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2. Next We Determ<strong>in</strong>e the Income <strong>of</strong> Each Partner to the<br />

Transaction, Divide the Hous<strong>in</strong>g Cost, Further Divide the<br />

Number <strong>of</strong> Mortgage Term, and That’s What Determ<strong>in</strong>es<br />

the Initial Monthly Payment<br />

Mortgage Calculators are automated tools that enable users to determ<strong>in</strong>e the f<strong>in</strong>ancial<br />

implications <strong>of</strong> changes <strong>in</strong> one or more variables <strong>in</strong> a mortgage f<strong>in</strong>anc<strong>in</strong>g arrangement.<br />

Mortgage calculators are used by consumers to determ<strong>in</strong>e monthly repayments, and by<br />

mortgage providers to determ<strong>in</strong>e the f<strong>in</strong>ancial suitability <strong>of</strong> a home loan applicant.<br />

<strong>The</strong> major variables <strong>in</strong> a mortgage calculation <strong>in</strong>clude loan pr<strong>in</strong>cipal, balance, periodic<br />

compound <strong>in</strong>terest rate, number <strong>of</strong> payments per year, total number <strong>of</strong> payments and<br />

the regular payment amount. More complex calculators can take <strong>in</strong>to account other<br />

costs associated with a mortgage, such as local and state taxes, and <strong>in</strong>surance.<br />

Mortgage calculation capabilities can be found on f<strong>in</strong>ancial handheld calculators such<br />

as the HP-12C or Texas Instruments TI BA II Plus. <strong>The</strong>re are also multiple free onl<strong>in</strong>e<br />

free mortgage calculators, and s<strong>of</strong>tware programs <strong>of</strong>fer<strong>in</strong>g f<strong>in</strong>ancial and mortgage<br />

calculations.<br />

Uses<br />

When purchas<strong>in</strong>g a new home, most buyers choose to f<strong>in</strong>ance a portion <strong>of</strong> the purchase<br />

price via the use <strong>of</strong> a mortgage. Prior to the wide availability <strong>of</strong> mortgage calculators,<br />

those wish<strong>in</strong>g to understand the f<strong>in</strong>ancial implications <strong>of</strong> changes to the five ma<strong>in</strong><br />

variables <strong>in</strong> a mortgage transaction were forced to use compound <strong>in</strong>terest rate tables.<br />

<strong>The</strong>se tables generally required a work<strong>in</strong>g understand<strong>in</strong>g <strong>of</strong> compound <strong>in</strong>terest<br />

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mathematics for proper use. In contrast, mortgage calculators make answers to<br />

questions regard<strong>in</strong>g the impact <strong>of</strong> changes <strong>in</strong> mortgage variables available to everyone.<br />

Mortgage calculators can be used to answer such questions as:<br />

If one borrows $250,000 at a 7% annual <strong>in</strong>terest rate and pays the loan back over thirty<br />

years, with $3,000 annual property tax payment, $1,500 annual property <strong>in</strong>surance cost<br />

and 0.5% annual private mortgage <strong>in</strong>surance payment, what will the monthly payment<br />

be? <strong>The</strong> answer is $2,142.42.<br />

A potential borrower can use an onl<strong>in</strong>e mortgage calculator to see how much property<br />

he or she can afford. A lender will compare the person's total monthly <strong>in</strong>come and total<br />

monthly debt load. A mortgage calculator can help to add up all <strong>in</strong>come sources and<br />

compare this to all monthly debt payments. It can also factor <strong>in</strong> a potential mortgage<br />

payment and other associated hous<strong>in</strong>g costs (property taxes, homeownership dues,<br />

etc.). One can test different loan sizes and <strong>in</strong>terest rates. Generally speak<strong>in</strong>g, lenders<br />

do not like to see all <strong>of</strong> a borrower's debt payments (<strong>in</strong>clud<strong>in</strong>g property expenses)<br />

exceed around 40% <strong>of</strong> total monthly pretax <strong>in</strong>come. Some mortgage lenders are known<br />

to allow as high as 55%.<br />

Monthly Payment Formula<br />

<strong>The</strong> fixed monthly payment for a fixed rate mortgage is the amount paid by the borrower<br />

every month that ensures that the loan is paid <strong>of</strong>f <strong>in</strong> full with <strong>in</strong>terest at the end <strong>of</strong> its<br />

term. <strong>The</strong> monthly payment formula is based on the annuity formula. <strong>The</strong> monthly<br />

payment c depends upon:<br />

<br />

<br />

<br />

r - the monthly <strong>in</strong>terest rate, expressed as a decimal, not a percentage. S<strong>in</strong>ce the<br />

quoted yearly percentage rate is not a compounded rate, the monthly percentage<br />

rate is simply the yearly percentage rate divided by 12; divid<strong>in</strong>g the monthly<br />

percentage rate by 100 gives r, the monthly rate expressed as a decimal.<br />

N - the number <strong>of</strong> monthly payments, called the loan's term, and<br />

P - the amount borrowed, known as the loan's pr<strong>in</strong>cipal.<br />

In the standardized calculations used <strong>in</strong> the United States, c is given by the formula:<br />

For example, for a home loan <strong>of</strong> $200,000 with a fixed yearly <strong>in</strong>terest rate <strong>of</strong> 6.5% for 30<br />

years, the pr<strong>in</strong>cipal is , the monthly <strong>in</strong>terest rate is ,<br />

the number <strong>of</strong> monthly payments is<br />

, the fixed monthly payment<br />

equals $1,264.14. This formula is provided us<strong>in</strong>g the f<strong>in</strong>ancial function PMT <strong>in</strong> a<br />

spreadsheet such as Excel. In the example, the monthly payment is obta<strong>in</strong>ed by<br />

enter<strong>in</strong>g either <strong>of</strong> the these formulas:<br />

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= -PMT(6.5 / 100 / 12, 30 * 12, 200000)<br />

= ((6.5 / 100 / 12) * 200000) / (1 - ((1 + (6.5 / 100 / 12)) ^ (-30 * 12)))<br />

= 1264.14<br />

<strong>The</strong> follow<strong>in</strong>g derivation <strong>of</strong> this formula illustrates how fixed-rate mortgage loans work.<br />

<strong>The</strong> amount owed on the loan at the end <strong>of</strong> every month equals the amount owed from<br />

the previous month, plus the <strong>in</strong>terest on this amount, m<strong>in</strong>us the fixed amount paid every<br />

month. This fact results <strong>in</strong> the debt schedule:<br />

Amount owed at <strong>in</strong>itiation:<br />

Amount owed after 1 month:<br />

Amount owed after 2 months:<br />

Amount owed after 3 months:<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

Amount owed after N months:<br />

<strong>The</strong> polynomial<br />

appear<strong>in</strong>g before the fixed<br />

monthly payment c (with<br />

) is called a cyclotomic polynomial; it has a simple<br />

closed-form expression obta<strong>in</strong>ed from observ<strong>in</strong>g that<br />

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ecause all but the first and last terms <strong>in</strong> this difference cancel each other out.<br />

<strong>The</strong>refore, solv<strong>in</strong>g for<br />

yields the much simpler closed-form expression<br />

Apply<strong>in</strong>g this fact about cyclotomic polynomials to the amount owed at the end <strong>of</strong> the<br />

Nth month gives (us<strong>in</strong>g to succ<strong>in</strong>ctly denote the function value at argument<br />

value x = (1+r )):<br />

Amount owed at end <strong>of</strong> month N<br />

<strong>The</strong> amount <strong>of</strong> the monthly payment at the end <strong>of</strong> month N that is applied to pr<strong>in</strong>cipal<br />

paydown equals the amount c <strong>of</strong> payment m<strong>in</strong>us the amount <strong>of</strong> <strong>in</strong>terest currently paid<br />

on the pre-exist<strong>in</strong>g unpaid pr<strong>in</strong>cipal. <strong>The</strong> latter amount, the <strong>in</strong>terest component <strong>of</strong> the<br />

current payment, is the <strong>in</strong>terest rate r times the amount unpaid at the end <strong>of</strong> month N–1.<br />

S<strong>in</strong>ce <strong>in</strong> the early years <strong>of</strong> the mortgage the unpaid pr<strong>in</strong>cipal is still large, so are the<br />

<strong>in</strong>terest payments on it; so the portion <strong>of</strong> the monthly payment go<strong>in</strong>g toward pay<strong>in</strong>g<br />

down the pr<strong>in</strong>cipal is very small and equity <strong>in</strong> the property accumulates very slowly (<strong>in</strong><br />

the absence <strong>of</strong> changes <strong>in</strong> the market value <strong>of</strong> the property). But <strong>in</strong> the later years <strong>of</strong> the<br />

mortgage, when the pr<strong>in</strong>cipal has already been substantially paid down and not much<br />

monthly <strong>in</strong>terest needs to be paid, most <strong>of</strong> the monthly payment goes toward repayment<br />

<strong>of</strong> the pr<strong>in</strong>cipal, and the rema<strong>in</strong><strong>in</strong>g pr<strong>in</strong>cipal decl<strong>in</strong>es rapidly.<br />

<strong>The</strong> borrower's equity <strong>in</strong> the property equals the current market value <strong>of</strong> the property<br />

m<strong>in</strong>us the amount owed accord<strong>in</strong>g to the above formula.<br />

With a fixed rate mortgage, the borrower agrees to pay <strong>of</strong>f the loan completely at the<br />

end <strong>of</strong> the loan's term, so the amount owed at month N must be zero. For this to<br />

happen, the monthly payment c can be obta<strong>in</strong>ed from the previous equation to obta<strong>in</strong>:<br />

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which is the formula orig<strong>in</strong>ally provided. This derivation illustrates three key components<br />

<strong>of</strong> fixed-rate loans: (1) the fixed monthly payment depends upon the amount borrowed,<br />

the <strong>in</strong>terest rate, and the length <strong>of</strong> time over which the loan is repaid; (2) the amount<br />

owed every month equals the amount owed from the previous month plus <strong>in</strong>terest on<br />

that amount, m<strong>in</strong>us the fixed monthly payment; (3) the fixed monthly payment is chosen<br />

so that the loan is paid <strong>of</strong>f <strong>in</strong> full with <strong>in</strong>terest at the end <strong>of</strong> its term and no more money<br />

is owed.<br />

Adjustable Interest Rates<br />

While adjustable rate mortgages have been around for decades, from 2002 through<br />

2005 adjustable-rate mortgages became more complicated as did the calculations<br />

<strong>in</strong>volved. Lend<strong>in</strong>g became much more creative which complicated the calculations.<br />

Subprime lend<strong>in</strong>g and creative loans such as the “pick a payment”, “pay option”, and<br />

“hybrid” loans brought on new era <strong>of</strong> mortgage calculations. <strong>The</strong> more creative<br />

adjustable mortgages meant some changes <strong>in</strong> the calculations to specifically handle<br />

these complicated loans. To calculate the annual percentage rates (APR) many more<br />

variables needed to be added, <strong>in</strong>clud<strong>in</strong>g: the start<strong>in</strong>g <strong>in</strong>terest rate; the length <strong>of</strong> time at<br />

that rate; the recast; the payment change; the <strong>in</strong>dex; the marg<strong>in</strong>s; the periodic <strong>in</strong>terest<br />

change cap; the payment cap; lifetime cap; the negative amortization cap; and others.<br />

Many lenders created their own s<strong>of</strong>tware programs, and World Sav<strong>in</strong>gs even had<br />

contracted special calculators to be made by Calculated Industries specifically for their<br />

“pick a payment” program. However, by the late 2000s the Great Recession brought an<br />

end to many <strong>of</strong> the creative “pick-a-payment” type <strong>of</strong> loans which left many borrowers<br />

with higher loan balances over time, and ow<strong>in</strong>g more than their houses were worth. This<br />

also helped reduce the more complicated calculations that went along with these<br />

mortgages.<br />

Mortgage Analyzer<br />

As a recent trend s<strong>in</strong>ce 2007, <strong>in</strong> the wake <strong>of</strong> a f<strong>in</strong>ancial crisis that was founded on many<br />

<strong>in</strong>dividuals' bad mortgage decision <strong>in</strong> residential borrow<strong>in</strong>g, a new generation <strong>of</strong><br />

mortgage calculation tools has emerged. <strong>The</strong>y are better equipped to estimate the longterm<br />

cost and f<strong>in</strong>ancial risk <strong>of</strong> various types <strong>of</strong> mortgages. Rather than "mortgage<br />

calculator", the new tools have become popularly known as "mortgage analyzers". <strong>The</strong>ir<br />

ma<strong>in</strong> advantage is <strong>in</strong> the analysis <strong>of</strong> adjustable rate mortgages where the potential cost<br />

and amount ow<strong>in</strong>g on the mortgage are estimated under thousands, sometimes<br />

millions, <strong>of</strong> possible future mortgage rate scenarios, and then aggregate figures for<br />

average cost and risk based on all scenarios are estimated. Conventional mortgage<br />

calculators are capable <strong>of</strong> handl<strong>in</strong>g just a handful <strong>of</strong> scenarios.<br />

Total Interest Paid Formula<br />

<strong>The</strong> total amount <strong>of</strong> <strong>in</strong>terest that will be paid over the lifetime <strong>of</strong> the loan is the<br />

difference <strong>of</strong> the total payment amount ( ) and the loan pr<strong>in</strong>cipal ( ):<br />

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where is the fixed monthly payment, is the number <strong>of</strong> payments that will be made,<br />

and is the <strong>in</strong>itial pr<strong>in</strong>cipal balance on the loan.<br />

Outside the U.S.<br />

In the United K<strong>in</strong>gdom, the FCA - F<strong>in</strong>ancial Conduct Authority (formerly the FSA -<br />

F<strong>in</strong>ancial Services Authority) regulates loans secured on residential property. It does not<br />

prescribe any specific calculation method, however it does prescribe that for<br />

comparative purposes lenders must display an Annual Percentage Rate (as prom<strong>in</strong>ently<br />

as other rates).<br />

In Spa<strong>in</strong>, the regulatory authority (Banco de España) has issued and enforced some<br />

good practices, such as clearly advertis<strong>in</strong>g the Annual Percentage Rate and stat<strong>in</strong>g how<br />

and when payments change <strong>in</strong> variable rate mortgages.<br />

Fixed Rate Mortgages<br />

A Fixed-Rate Mortgage (FRM), <strong>of</strong>ten referred to as a "vanilla wafer" mortgage loan, is<br />

a fully amortiz<strong>in</strong>g mortgage loan where the <strong>in</strong>terest rate on the note rema<strong>in</strong>s the same<br />

through the term <strong>of</strong> the loan, as opposed to loans where the <strong>in</strong>terest rate may adjust or<br />

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"float". As a result, payment amounts and the duration <strong>of</strong> the loan are fixed and the<br />

person who is responsible for pay<strong>in</strong>g back the loan benefits from a consistent, s<strong>in</strong>gle<br />

payment and the ability to plan a budget based on this fixed cost.<br />

Other forms <strong>of</strong> mortgage loans <strong>in</strong>clude <strong>in</strong>terest only mortgage, graduated payment<br />

mortgage, variable rate mortgage (<strong>in</strong>clud<strong>in</strong>g adjustable-rate mortgages and tracker<br />

mortgages), negative amortization mortgage, and balloon payment mortgage. Unlike<br />

many other loan types, FRM <strong>in</strong>terest payments and loan duration is fixed from<br />

beg<strong>in</strong>n<strong>in</strong>g to end.<br />

Fixed-rate mortgages are characterized by amount <strong>of</strong> loan, <strong>in</strong>terest rate, compound<strong>in</strong>g<br />

frequency, and duration. With these values, the monthly repayments can be calculated.<br />

Unlike adjustable-rate mortgages (ARM), fixed-rate mortgages are not tied to an <strong>in</strong>dex.<br />

Instead, the <strong>in</strong>terest rate is set (or "fixed") <strong>in</strong> advance to an advertised rate, usually <strong>in</strong><br />

<strong>in</strong>crements <strong>of</strong> 1/4 or 1/8 percent.<br />

<strong>The</strong> fixed monthly payment for a fixed-rate mortgage is the amount paid by the borrower<br />

every month that ensures that the loan is paid <strong>of</strong>f <strong>in</strong> full with <strong>in</strong>terest at the end <strong>of</strong> its<br />

term.<br />

Popularity<br />

<strong>The</strong> United States Federal Hous<strong>in</strong>g Adm<strong>in</strong>istration (FHA) helped develop and<br />

standardize the fixed rate mortgage as an alternative to the balloon payment mortgage<br />

by <strong>in</strong>sur<strong>in</strong>g them and by do<strong>in</strong>g so helped the mortgage design garner usage. Because<br />

<strong>of</strong> the large payment at the end <strong>of</strong> the older, balloon-payment loan, ref<strong>in</strong>anc<strong>in</strong>g risk<br />

resulted <strong>in</strong> widespread foreclosures. <strong>The</strong> fixed-rate mortgage was the first mortgage<br />

loan that was fully amortized (fully paid at the end <strong>of</strong> the loan) preclud<strong>in</strong>g successive<br />

loans, and had fixed <strong>in</strong>terest rates and payments.<br />

Fixed-rate mortgages are the most classic form <strong>of</strong> loan for home and product<br />

purchas<strong>in</strong>g <strong>in</strong> the United States. <strong>The</strong> most common terms are 15-year and 30-year<br />

mortgages, but shorter terms are available, and 40-year and 50-year mortgages are<br />

now available (common <strong>in</strong> areas with high priced hous<strong>in</strong>g, where even a 30-year term<br />

leaves the mortgage amount out <strong>of</strong> reach <strong>of</strong> the average family).<br />

Outside the United States, fixed-rate mortgages are less popular, and <strong>in</strong> some<br />

countries, true fixed-rate mortgages are not available except for shorter-term loans. For<br />

example, <strong>in</strong> Canada the longest term for which a mortgage rate can be fixed is typically<br />

no more than ten years, while mortgage maturities are commonly 25 years. <strong>The</strong><br />

mortgage <strong>in</strong>dustry <strong>of</strong> the United K<strong>in</strong>gdom has traditionally been dom<strong>in</strong>ated by build<strong>in</strong>g<br />

societies, whose raised funds must be at least 50% deposits, so lenders prefer variablerate<br />

mortgages to fixed-rate mortgages to reduce asset–liability mismatch due to<br />

<strong>in</strong>terest rate risk. Lenders, <strong>in</strong> turn, <strong>in</strong>fluence consumer decisions which already prefer<br />

lower <strong>in</strong>itial monthly payments.<br />

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Comparisons<br />

Fixed rate mortgages are usually more expensive than adjustable rate mortgages. Due<br />

to the <strong>in</strong>herent <strong>in</strong>terest rate risk, long-term fixed rate loans will tend to be at a higher<br />

<strong>in</strong>terest rate than short-term loans. <strong>The</strong> relationship between <strong>in</strong>terest rates for short and<br />

long-term loans is represented by the yield curve, which generally slopes upward<br />

(longer terms are more expensive). <strong>The</strong> opposite circumstance is known as an <strong>in</strong>verted<br />

yield curve and occurs less <strong>of</strong>ten.<br />

<strong>The</strong> fact that a fixed rate mortgage has a higher start<strong>in</strong>g <strong>in</strong>terest rate does not <strong>in</strong>dicate<br />

that this is a worse form <strong>of</strong> borrow<strong>in</strong>g compared to the adjustable rate mortgages. If<br />

<strong>in</strong>terest rates rise, the ARM cost will be higher while the FRM will rema<strong>in</strong> the same. In<br />

effect, the lender has agreed to take the <strong>in</strong>terest rate risk on a fixed-rate loan. Some<br />

studies [3] have shown that the majority <strong>of</strong> borrowers with adjustable rate mortgages<br />

save money <strong>in</strong> the long term, but that some borrowers pay more. <strong>The</strong> price <strong>of</strong> potentially<br />

sav<strong>in</strong>g money, <strong>in</strong> other words, is balanced by the risk <strong>of</strong> potentially higher costs. In each<br />

case, a choice would need to be made based upon the loan term, the current <strong>in</strong>terest<br />

rate, and the likelihood that the rate will <strong>in</strong>crease or decrease dur<strong>in</strong>g the life <strong>of</strong> the loan.<br />

Pric<strong>in</strong>g<br />

<br />

Note: Fixed-rate mortgage <strong>in</strong>terest may be compounded differently <strong>in</strong> other<br />

countries, such as <strong>in</strong> Canada, where it is compounded every 6 months.<br />

<strong>The</strong> fixed monthly payment for a fixed rate mortgage is the amount paid by the borrower<br />

every month that ensures that the loan is paid <strong>of</strong>f <strong>in</strong> full with <strong>in</strong>terest at the end <strong>of</strong> its<br />

term. This monthly payment depends upon the monthly <strong>in</strong>terest rate (expressed as a<br />

fraction, not a percentage, i.e., divide the quoted yearly nom<strong>in</strong>al percentage rate by 100<br />

and by 12 to obta<strong>in</strong> the monthly <strong>in</strong>terest rate), the number <strong>of</strong> monthly payments called<br />

the loan's term, and the amount borrowed known as the loan's pr<strong>in</strong>cipal; rearrang<strong>in</strong>g<br />

the formula for the present value <strong>of</strong> an ord<strong>in</strong>ary annuity we get the formula for :<br />

For example, for a home loan for $200,000 with a fixed yearly nom<strong>in</strong>al <strong>in</strong>terest rate <strong>of</strong><br />

6.5% for 30 years, the pr<strong>in</strong>cipal is , the monthly <strong>in</strong>terest rate is<br />

, the number <strong>of</strong> monthly payments is , the fixed<br />

monthly payment<br />

. This formula is provided us<strong>in</strong>g the f<strong>in</strong>ancial function<br />

PMT <strong>in</strong> a spreadsheet such as Excel. In the example, the monthly payment is obta<strong>in</strong>ed<br />

by enter<strong>in</strong>g either <strong>of</strong> the these formulas:<br />

=PMT(6.5/100/12,30*12,200000)<br />

=((6.5/100/12)/(1-(1+6.5/100/12)^(-30*12)))*200000<br />

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This monthly payment formula is easy to derive, and the derivation illustrates how fixedrate<br />

mortgage loans work. <strong>The</strong> amount owed on the loan at the end <strong>of</strong> every month<br />

equals the amount owed from the previous month, plus the <strong>in</strong>terest on this amount,<br />

m<strong>in</strong>us the fixed amount paid every month.<br />

Amount owed at month 0:<br />

Amount owed at month 1:<br />

( pr<strong>in</strong>cipal + <strong>in</strong>terest – payment)<br />

(equation 1)<br />

Amount owed at month 2:<br />

Us<strong>in</strong>g equation 1 for<br />

Amount owed at month 3:<br />

(equation 2)<br />

Us<strong>in</strong>g equation 2 for<br />

Amount owed at month N:<br />

Where<br />

progression)<br />

(equation 3)<br />

(equation 4) (see geometric<br />

(equation 5)<br />

With the exception <strong>of</strong> two terms the and series are the same so when<br />

you subtract all but two terms cancel:<br />

Us<strong>in</strong>g equation 4 and 5<br />

(equation 6)<br />

Putt<strong>in</strong>g equation 6 back <strong>in</strong>to 3:<br />

will be zero because we have paid the loan <strong>of</strong>f.<br />

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We want to know<br />

Divide top and bottom with<br />

This derivation illustrates three key components <strong>of</strong> fixed-rate loans: (1) the fixed monthly<br />

payment depends upon the amount borrowed, the <strong>in</strong>terest rate, and the length <strong>of</strong> time<br />

over which the loan is repaid; (2) the amount owed every month equals the amount<br />

owed from the previous month plus <strong>in</strong>terest on that amount, m<strong>in</strong>us the fixed monthly<br />

payment; (3) the fixed monthly payment is chosen so that the loan is paid <strong>of</strong>f <strong>in</strong> full with<br />

<strong>in</strong>terest at the end <strong>of</strong> its term and no more money is owed.<br />

FRM <strong>in</strong> S<strong>in</strong>gapore<br />

A fixed rate mortgage <strong>in</strong> the Republic only has the <strong>in</strong>terest rate fixed for the first three to<br />

five years <strong>of</strong> the loan, after which it will become variable.<br />

United K<strong>in</strong>gdom<br />

Nationwide Commercial recently issued a 30 year fixed rate mortgage as bridg<strong>in</strong>g<br />

f<strong>in</strong>ance.<br />

Adjustable Rate Mortgages<br />

A variable-rate mortgage, adjustable-rate mortgage (ARM), or tracker mortgage is<br />

a mortgage loan with the <strong>in</strong>terest rate on the note periodically adjusted based on an<br />

<strong>in</strong>dex which reflects the cost to the lender <strong>of</strong> borrow<strong>in</strong>g on the credit markets. <strong>The</strong> loan<br />

may be <strong>of</strong>fered at the lender's standard variable rate/base rate. <strong>The</strong>re may be a direct<br />

and legally def<strong>in</strong>ed l<strong>in</strong>k to the underly<strong>in</strong>g <strong>in</strong>dex, but where the lender <strong>of</strong>fers no specific<br />

l<strong>in</strong>k to the underly<strong>in</strong>g market or <strong>in</strong>dex the rate can be changed at the lender's discretion.<br />

<strong>The</strong> term "variable-rate mortgage" is most common outside the United States, whilst <strong>in</strong><br />

the United States, "adjustable-rate mortgage" is most common, and implies a mortgage<br />

regulated by the Federal government, with caps on charges. In many countries,<br />

adjustable rate mortgages are the norm, and <strong>in</strong> such places, may simply be referred to<br />

as mortgages.<br />

Among the most common <strong>in</strong>dices are the rates on 1-year constant-maturity Treasury<br />

(CMT) securities, the Cost <strong>of</strong> Funds Index (COFI), and the London Interbank Offered<br />

Rate (LIBOR). A few lenders use their own cost <strong>of</strong> funds as an <strong>in</strong>dex, rather than us<strong>in</strong>g<br />

other <strong>in</strong>dices. This is done to ensure a steady marg<strong>in</strong> for the lender, whose own cost <strong>of</strong><br />

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fund<strong>in</strong>g will usually be related to the <strong>in</strong>dex. Consequently, payments made by the<br />

borrower may change over time with the chang<strong>in</strong>g <strong>in</strong>terest rate (alternatively, the term <strong>of</strong><br />

the loan may change). This is dist<strong>in</strong>ct from the graduated payment mortgage, which<br />

<strong>of</strong>fers chang<strong>in</strong>g payment amounts but a fixed <strong>in</strong>terest rate. Other forms <strong>of</strong> mortgage<br />

loan <strong>in</strong>clude the <strong>in</strong>terest-only mortgage, the fixed-rate mortgage, the negative<br />

amortization mortgage, and the balloon payment mortgage.<br />

Adjustable rates transfer part <strong>of</strong> the <strong>in</strong>terest rate risk from the lender to the borrower.<br />

<strong>The</strong>y can be used where unpredictable <strong>in</strong>terest rates make fixed rate loans difficult to<br />

obta<strong>in</strong>. <strong>The</strong> borrower benefits if the <strong>in</strong>terest rate falls but loses if the <strong>in</strong>terest rate<br />

<strong>in</strong>creases. <strong>The</strong> borrower benefits from reduced marg<strong>in</strong>s to the underly<strong>in</strong>g cost <strong>of</strong><br />

borrow<strong>in</strong>g compared to fixed or capped rate mortgages.<br />

Index<br />

Characteristics<br />

<br />

<br />

<br />

<br />

<br />

<br />

11th District Cost <strong>of</strong> Funds Index (COFI)<br />

London Interbank Offered Rate (LIBOR)<br />

12-month Treasury Average Index (MTA)<br />

Constant Maturity Treasury (CMT)<br />

National Average Contract Mortgage Rate<br />

Bank Bill Swap Rate (BBSW)<br />

In some countries, banks may publish a prime lend<strong>in</strong>g rate which is used as the <strong>in</strong>dex.<br />

<strong>The</strong> <strong>in</strong>dex may be applied <strong>in</strong> one <strong>of</strong> three ways: directly, on a rate plus marg<strong>in</strong> basis, or<br />

based on <strong>in</strong>dex movement.<br />

A directly applied <strong>in</strong>dex means that the <strong>in</strong>terest rate changes exactly with the <strong>in</strong>dex. In<br />

other words, the <strong>in</strong>terest rate on the note exactly equals the <strong>in</strong>dex. Of the above <strong>in</strong>dices,<br />

only the contract rate <strong>in</strong>dex is applied directly.<br />

To apply an <strong>in</strong>dex on a rate plus marg<strong>in</strong> basis means that the <strong>in</strong>terest rate will equal the<br />

underly<strong>in</strong>g <strong>in</strong>dex plus a marg<strong>in</strong>. <strong>The</strong> marg<strong>in</strong> is specified <strong>in</strong> the note and rema<strong>in</strong>s fixed<br />

over the life <strong>of</strong> the loan. For example, a mortgage <strong>in</strong>terest rate may be specified <strong>in</strong> the<br />

note as be<strong>in</strong>g LIBOR plus 2%, 2% be<strong>in</strong>g the marg<strong>in</strong> and LIBOR be<strong>in</strong>g the <strong>in</strong>dex.<br />

<strong>The</strong> f<strong>in</strong>al way to apply an <strong>in</strong>dex is on a movement basis. In this scheme, the mortgage is<br />

orig<strong>in</strong>ated at an agreed upon rate, then adjusted based on the movement <strong>of</strong> the <strong>in</strong>dex.<br />

Unlike direct or <strong>in</strong>dex plus marg<strong>in</strong>, the <strong>in</strong>itial rate is not explicitly tied to any <strong>in</strong>dex; the<br />

adjustments are tied to an <strong>in</strong>dex.<br />

Basic Features <strong>of</strong> ARMs<br />

<strong>The</strong> most important basic features <strong>of</strong> ARMs are:<br />

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1. Initial Interest Rate. This is the beg<strong>in</strong>n<strong>in</strong>g <strong>in</strong>terest rate on an ARM.<br />

2. <strong>The</strong> Adjustment Period. This is the length <strong>of</strong> time that the <strong>in</strong>terest rate or loan<br />

period on an ARM is scheduled to rema<strong>in</strong> unchanged. <strong>The</strong> rate is reset at the<br />

end <strong>of</strong> this period, and the monthly loan payment is recalculated.<br />

3. <strong>The</strong> Index Rate. Most lenders tie ARM <strong>in</strong>terest rates changes to changes <strong>in</strong> an<br />

<strong>in</strong>dex rate. Lenders base ARM rates on a variety <strong>of</strong> <strong>in</strong>dices, the most common<br />

be<strong>in</strong>g rates on one-, three-, or five-year Treasury securities. Another common<br />

<strong>in</strong>dex is the national or regional average cost <strong>of</strong> funds to sav<strong>in</strong>gs and loan<br />

associations.<br />

4. <strong>The</strong> Marg<strong>in</strong>. This is the percentage po<strong>in</strong>ts that lenders add to the <strong>in</strong>dex rate to<br />

determ<strong>in</strong>e the ARM's <strong>in</strong>terest rate.<br />

5. Interest Rate Caps. <strong>The</strong>se are the limits on how much the <strong>in</strong>terest rate or the<br />

monthly payment can be changed at the end <strong>of</strong> each adjustment period or over<br />

the life <strong>of</strong> the loan.<br />

6. Initial Discounts. <strong>The</strong>se are <strong>in</strong>terest rate concessions, <strong>of</strong>ten used as<br />

promotional aids, <strong>of</strong>fered the first year or more <strong>of</strong> a loan. <strong>The</strong>y reduce the <strong>in</strong>terest<br />

rate below the prevail<strong>in</strong>g rate (the <strong>in</strong>dex plus the marg<strong>in</strong>).<br />

7. Negative Amortization. This means the mortgage balance is <strong>in</strong>creas<strong>in</strong>g. This<br />

occurs whenever the monthly mortgage payments are not large enough to pay all<br />

the <strong>in</strong>terest due on the mortgage. This may be caused when the payment cap<br />

conta<strong>in</strong>ed <strong>in</strong> the ARM is low enough such that the pr<strong>in</strong>cipal plus <strong>in</strong>terest payment<br />

is greater than the payment cap.<br />

8. Conversion. <strong>The</strong> agreement with the lender may have a clause that allows the<br />

buyer to convert the ARM to a fixed-rate mortgage at designated times.<br />

9. Prepayment. Some agreements may require the buyer to pay special fees or<br />

penalties if the ARM is paid <strong>of</strong>f early. Prepayment terms are sometimes<br />

negotiable.<br />

<strong>The</strong> choice <strong>of</strong> a home mortgage loan is complicated and time consum<strong>in</strong>g. As a help to<br />

the buyer, the Federal Reserve Board and the Federal Home Loan Bank Board have<br />

prepared a mortgage checklist.<br />

Caps<br />

Any mortgage where payments made by the borrower may <strong>in</strong>crease over time br<strong>in</strong>gs<br />

with it the risk <strong>of</strong> f<strong>in</strong>ancial hardship to the borrower. To limit this risk, limitations on<br />

charges—known as caps <strong>in</strong> the <strong>in</strong>dustry—are a common feature <strong>of</strong> adjustable rate<br />

mortgages. Caps typically apply to three characteristics <strong>of</strong> the mortgage:<br />

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frequency <strong>of</strong> the <strong>in</strong>terest rate change<br />

periodic change <strong>in</strong> <strong>in</strong>terest rate<br />

total change <strong>in</strong> <strong>in</strong>terest rate over the life <strong>of</strong> the loan, sometimes called life cap<br />

For example, a given ARM might have the follow<strong>in</strong>g types <strong>of</strong> <strong>in</strong>terest rate adjustment<br />

caps:<br />

<strong>in</strong>terest adjustments made every six months, typically 1% per adjustment, 2%<br />

total per year<br />

<strong>in</strong>terest adjustments made only once a year, typically 2% maximum<br />

<strong>in</strong>terest rate may adjust no more than 1% <strong>in</strong> a year<br />

Mortgage payment adjustment caps:<br />

<br />

maximum mortgage payment adjustments, usually 7.5% annually on payoption/negative<br />

amortization loans<br />

Life <strong>of</strong> loan <strong>in</strong>terest rate adjustment caps:<br />

<br />

total <strong>in</strong>terest rate adjustment limited to 5% or 6% for the life <strong>of</strong> the loan.<br />

Caps on the periodic change <strong>in</strong> <strong>in</strong>terest rate may be broken up <strong>in</strong>to one limit on the first<br />

periodic change and a separate limit on subsequent periodic change, for example 5%<br />

on the <strong>in</strong>itial adjustment and 2% on subsequent adjustments.<br />

Although uncommon, a cap may limit the maximum monthly payment <strong>in</strong> absolute terms<br />

(for example, $1000 a month), rather than <strong>in</strong> relative terms.<br />

ARMs that allow negative amortization will typically have payment adjustments that<br />

occur less frequently than the <strong>in</strong>terest rate adjustment. For example, the <strong>in</strong>terest rate<br />

may be adjusted every month, but the payment amount only once every 12 months.<br />

Cap structure is sometimes expressed as <strong>in</strong>itial adjustment cap / subsequent<br />

adjustment cap / life cap, for example 2/2/5 for a loan with a 2% cap on the <strong>in</strong>itial<br />

adjustment, a 2% cap on subsequent adjustments, and a 5% cap on total <strong>in</strong>terest rate<br />

adjustments. When only two values are given, this <strong>in</strong>dicates that the <strong>in</strong>itial change cap<br />

and periodic cap are the same. For example, a 2/2/5 cap structure may sometimes be<br />

written simply 2/5.<br />

Reasons for ARMs<br />

ARMs generally permit borrowers to lower their <strong>in</strong>itial payments if they are will<strong>in</strong>g to<br />

assume the risk <strong>of</strong> <strong>in</strong>terest rate changes. <strong>The</strong>re is evidence that consumers tend to<br />

prefer contracts with the lowest <strong>in</strong>itial rates, such as <strong>in</strong> the UK where consumers tend to<br />

focus on immediate monthly mortgage costs. Decisions <strong>of</strong> consumers may also be<br />

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affected by the advice they get, and much <strong>of</strong> the advice is provided by lenders who may<br />

prefer ARMs because <strong>of</strong> f<strong>in</strong>ancial market structures.<br />

In many countries, banks or similar f<strong>in</strong>ancial <strong>in</strong>stitutions are the primary orig<strong>in</strong>ators <strong>of</strong><br />

mortgages. For banks that are funded from customer deposits, the customer deposits<br />

will typically have much shorter terms than residential mortgages. If a bank were to <strong>of</strong>fer<br />

large volumes <strong>of</strong> mortgages at fixed rates but to derive most <strong>of</strong> its fund<strong>in</strong>g from deposits<br />

(or other short-term sources <strong>of</strong> funds), the bank would have an asset–liability mismatch<br />

due to <strong>in</strong>terest rate risk: <strong>in</strong> this case, it would be runn<strong>in</strong>g the risk that the <strong>in</strong>terest <strong>in</strong>come<br />

from its mortgage portfolio would be less than it needed to pay its depositors. In the<br />

United States, some argue that the sav<strong>in</strong>gs and loan crisis was <strong>in</strong> part caused by this<br />

problem, that the sav<strong>in</strong>gs and loans companies had short-term deposits and long-term,<br />

fixed rate mortgages, and were caught when Paul Volcker raised <strong>in</strong>terest rates <strong>in</strong> the<br />

early 1980s. <strong>The</strong>refore, banks and other f<strong>in</strong>ancial <strong>in</strong>stitutions <strong>of</strong>fer adjustable rate<br />

mortgages because it reduces risk and matches their sources <strong>of</strong> fund<strong>in</strong>g.<br />

Bank<strong>in</strong>g regulators pay close attention to asset-liability mismatches to avoid such<br />

problems, and place tight restrictions on the amount <strong>of</strong> long-term fixed-rate mortgages<br />

that banks may hold (<strong>in</strong> relation to their other assets). To reduce this risk, many<br />

mortgage orig<strong>in</strong>ators will sell many <strong>of</strong> their mortgages, particularly the mortgages with<br />

fixed rates.<br />

For the borrower, adjustable rate mortgages may be less expensive, but at the price <strong>of</strong><br />

bear<strong>in</strong>g higher risk. Many ARMs have "teaser periods", which are relatively short <strong>in</strong>itial<br />

fixed-rate periods (typically one month to one year) when the ARM bears an <strong>in</strong>terest<br />

rate that is substantially below the "fully <strong>in</strong>dexed" rate. <strong>The</strong> teaser period may <strong>in</strong>duce<br />

some borrowers to view an ARM as more <strong>of</strong> a barga<strong>in</strong> than it really represents. A low<br />

teaser rate predisposes an ARM to susta<strong>in</strong> above-average payment <strong>in</strong>creases.<br />

Hybrid ARMs<br />

ARM Variants<br />

A hybrid ARM features an <strong>in</strong>terest rate that is fixed for an <strong>in</strong>itial period <strong>of</strong> time, then<br />

floats thereafter. <strong>The</strong> "hybrid" refers to the ARM's blend <strong>of</strong> fixed-rate and adjustable-rate<br />

characteristics. Hybrid ARMs are referred to by their <strong>in</strong>itial fixed-rate and adjustable-rate<br />

periods, for example, 3/1, is for an ARM with a 3-year fixed <strong>in</strong>terest-rate period and<br />

subsequent 1-year <strong>in</strong>terest-rate adjustment periods. <strong>The</strong> date that a hybrid ARM shifts<br />

from a fixed-rate payment schedule to an adjust<strong>in</strong>g payment schedule is known as the<br />

reset date. After the reset date, a hybrid ARM floats at a marg<strong>in</strong> over a specified <strong>in</strong>dex<br />

just like any ord<strong>in</strong>ary ARM.<br />

<strong>The</strong> popularity <strong>of</strong> hybrid ARMs has significantly <strong>in</strong>creased <strong>in</strong> recent years. In 1998, the<br />

percentage <strong>of</strong> hybrids relative to 30-year fixed-rate mortgages was less than 2%; with<strong>in</strong><br />

six years, this <strong>in</strong>creased to 27.5%.<br />

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Like other ARMs, hybrid ARMs transfer some <strong>in</strong>terest-rate risk from the lender to the<br />

borrower, thus allow<strong>in</strong>g the lender to <strong>of</strong>fer a lower note rate <strong>in</strong> many <strong>in</strong>terest-rate<br />

environments.<br />

Option ARMs<br />

An "option ARM" is typically a 30-year ARM that <strong>in</strong>itially <strong>of</strong>fers the borrower four monthly<br />

payment options: a specified m<strong>in</strong>imum payment, an <strong>in</strong>terest-only payment, a 15-year<br />

fully amortiz<strong>in</strong>g payment, and a 30-year fully amortiz<strong>in</strong>g payment.<br />

<strong>The</strong>se types <strong>of</strong> loans are also called "pick-a-payment" or "pay-option" ARMs.<br />

When a borrower makes a Pay-Option ARM payment that is less than the accru<strong>in</strong>g<br />

<strong>in</strong>terest, there is "negative amortization", which means that the unpaid portion <strong>of</strong> the<br />

accru<strong>in</strong>g <strong>in</strong>terest is added to the outstand<strong>in</strong>g pr<strong>in</strong>cipal balance. For example, if the<br />

borrower makes a m<strong>in</strong>imum payment <strong>of</strong> $1,000 and the ARM has accrued monthly<br />

<strong>in</strong>terest <strong>in</strong> arrears <strong>of</strong> $1,500, $500 will be added to the borrower's loan balance.<br />

Moreover, the next month's <strong>in</strong>terest-only payment will be calculated us<strong>in</strong>g the new,<br />

higher pr<strong>in</strong>cipal balance.<br />

Option ARMs are <strong>of</strong>ten <strong>of</strong>fered with a very low teaser rate (<strong>of</strong>ten as low as 1%) which<br />

translates <strong>in</strong>to very low m<strong>in</strong>imum payments for the first year <strong>of</strong> the ARM. Dur<strong>in</strong>g boom<br />

times, lenders <strong>of</strong>ten underwrite borrowers based on mortgage payments that are below<br />

the fully amortiz<strong>in</strong>g payment level. This enables borrowers to qualify for a much larger<br />

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loan (i.e., take on more debt) than would otherwise be possible. When evaluat<strong>in</strong>g an<br />

Option ARM, prudent borrowers will not focus on the teaser rate or <strong>in</strong>itial payment level,<br />

but will consider the characteristics <strong>of</strong> the <strong>in</strong>dex, the size <strong>of</strong> the "mortgage marg<strong>in</strong>" that<br />

is added to the <strong>in</strong>dex value, and the other terms <strong>of</strong> the ARM. Specifically, they need to<br />

consider the possibilities that (1) long-term <strong>in</strong>terest rates go up; (2) their home may not<br />

appreciate or may even lose value or even (3) that both risks may materialize.<br />

Option ARMs are best suited to sophisticated borrowers with grow<strong>in</strong>g <strong>in</strong>comes,<br />

particularly if their <strong>in</strong>comes fluctuate seasonally and they need the payment flexibility<br />

that such an ARM may provide. Sophisticated borrowers will carefully manage the level<br />

<strong>of</strong> negative amortization that they allow to accrue.<br />

In this way, a borrower can control the ma<strong>in</strong> risk <strong>of</strong> an Option ARM, which is "payment<br />

shock", when the negative amortization and other features <strong>of</strong> this product can trigger<br />

substantial payment <strong>in</strong>creases <strong>in</strong> short periods <strong>of</strong> time.<br />

<strong>The</strong> m<strong>in</strong>imum payment on an Option ARM can jump dramatically if its unpaid pr<strong>in</strong>cipal<br />

balance hits the maximum limit on negative amortization (typically 110% to 125% <strong>of</strong> the<br />

orig<strong>in</strong>al loan amount). If that happens, the next m<strong>in</strong>imum monthly payment will be at a<br />

level that would fully amortize the ARM over its rema<strong>in</strong><strong>in</strong>g term. In addition, Option<br />

ARMs typically have automatic "recast" dates (<strong>of</strong>ten every fifth year) when the payment<br />

is adjusted to get the ARM back on pace to amortize the ARM <strong>in</strong> full over its rema<strong>in</strong><strong>in</strong>g<br />

term.<br />

For example, a $200,000 ARM with a 110% "neg am" cap will typically adjust to a fully<br />

amortiz<strong>in</strong>g payment, based on the current fully <strong>in</strong>dexed <strong>in</strong>terest rate and the rema<strong>in</strong><strong>in</strong>g<br />

term <strong>of</strong> the loan, if negative amortization causes the loan balance to exceed $220,000.<br />

For a 125% recast, this will happen if the loan balance reaches $250,000.<br />

Any loan that is allowed to generate negative amortization means that the borrower is<br />

reduc<strong>in</strong>g his equity <strong>in</strong> his home, which <strong>in</strong>creases the chance that he won't be able to sell<br />

it for enough to repay the loan. Decl<strong>in</strong><strong>in</strong>g property values would exacerbate this risk.<br />

Option ARMs may also be available as "hybrids," with longer fixed-rate periods. <strong>The</strong>se<br />

products would not be likely to have low teaser rates. As a result, such ARMs mitigate<br />

the possibility <strong>of</strong> negative amortization, and would likely not appeal to borrowers<br />

seek<strong>in</strong>g an "affordability" product.<br />

Cash Flow ARMs<br />

A cash flow ARM is a m<strong>in</strong>imum payment option mortgage loan. This type <strong>of</strong> loan allows<br />

a borrower to choose their monthly payment from several options. <strong>The</strong>se payment<br />

options usually <strong>in</strong>clude the option to pay at the 30-year level, 15-year level, <strong>in</strong>terest only<br />

level, and a m<strong>in</strong>imum payment level. <strong>The</strong> m<strong>in</strong>imum payment level is usually lower than<br />

the <strong>in</strong>terest only payment. This type <strong>of</strong> loan can result <strong>in</strong> negative amortization. <strong>The</strong><br />

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option to make a m<strong>in</strong>imum payment is usually available only for the first several years <strong>of</strong><br />

the loan.<br />

Cash flow ARM mortgages are synonymous with option ARM or payment option ARM<br />

mortgages, however it should be noted that not all loans with cash flow options are<br />

adjustable. In fact, fixed rate cash flow option loans reta<strong>in</strong> the same cash flow options<br />

as cash flow ARMs and option ARMs, but rema<strong>in</strong> fixed for up to 30 years.<br />

Term<strong>in</strong>ology<br />

Term<br />

Def<strong>in</strong>ition<br />

Hybrid ARMs are <strong>of</strong>ten referred to <strong>in</strong> this format, where X is the number <strong>of</strong><br />

years dur<strong>in</strong>g which the <strong>in</strong>itial <strong>in</strong>terest rate applies prior to first adjustment<br />

(common terms are 3, 5, 7, and 10 years), and Y is the <strong>in</strong>terval between<br />

adjustments (common terms are 1 for one year and 6 for six months). As an<br />

X/Y<br />

example, a 5/1 ARM means that the <strong>in</strong>itial <strong>in</strong>terest rate applies for five years<br />

(or 60 months, <strong>in</strong> terms <strong>of</strong> payments), after which the <strong>in</strong>terest rate is<br />

adjusted annually. (Adjustments for escrow accounts, however, do not<br />

follow the 5/1 schedule; these are done annually.)<br />

<strong>The</strong> price <strong>of</strong> the ARM is calculated by add<strong>in</strong>g Index + Marg<strong>in</strong> = Fully<br />

Indexed Rate. This is the <strong>in</strong>terest rate your loan would be at without a Start<br />

Fully<br />

Rate (the <strong>in</strong>troductory special rate for the <strong>in</strong>itial fixed period). This means<br />

Indexed<br />

the loan would be higher if adjust<strong>in</strong>g, typically, 1–3% higher than the fixed<br />

Rate<br />

rate. Calculat<strong>in</strong>g this is important for ARM buyers, s<strong>in</strong>ce it helps predict the<br />

future <strong>in</strong>terest rate <strong>of</strong> the loan.<br />

For ARMs where the <strong>in</strong>dex is applied to the <strong>in</strong>terest rate <strong>of</strong> the note on an<br />

"<strong>in</strong>dex plus marg<strong>in</strong>" basis, the marg<strong>in</strong> is the difference between the note rate<br />

and the <strong>in</strong>dex on which the note rate is based expressed <strong>in</strong> percentage<br />

Marg<strong>in</strong><br />

terms. [1] This is not to be confused with pr<strong>of</strong>it marg<strong>in</strong>. <strong>The</strong> lower the marg<strong>in</strong><br />

the better the loan is to the borrower as the maximum rate will <strong>in</strong>crease less<br />

at each adjustment. Marg<strong>in</strong>s will vary between 2% and 7%.<br />

A published f<strong>in</strong>ancial <strong>in</strong>dex such as LIBOR used to periodically adjust the<br />

Index<br />

<strong>in</strong>terest rate <strong>of</strong> the ARM.<br />

<strong>The</strong> <strong>in</strong>troductory rate provided to purchasers <strong>of</strong> ARM loans for the <strong>in</strong>itial<br />

Start Rate<br />

fixed <strong>in</strong>terest period.<br />

<strong>The</strong> length <strong>of</strong> time between <strong>in</strong>terest rate adjustments. In times <strong>of</strong> fall<strong>in</strong>g<br />

Period <strong>in</strong>terest rates, a shorter period benefits the borrower. On the other hand, <strong>in</strong><br />

times <strong>of</strong> ris<strong>in</strong>g <strong>in</strong>terest rates, a shorter period benefits the lender.<br />

A clause that sets the m<strong>in</strong>imum rate for the <strong>in</strong>terest rate <strong>of</strong> an ARM loan.<br />

Loans may come with a Start Rate = Floor feature, but this is primarily for<br />

Floor Non-Conform<strong>in</strong>g (aka Sub-Prime or Program Lend<strong>in</strong>g) loan products. This<br />

prevents an ARM loan from ever adjust<strong>in</strong>g lower than the Start Rate. An "A<br />

Paper" loan typically has either no Floor or 2% below start.<br />

Payment Industry term to describe the severe (unexpected or planned for by<br />

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Shock<br />

Cap<br />

borrower) upward movement <strong>of</strong> mortgage loan <strong>in</strong>terest rates and its effect<br />

on borrowers. This is the major risk <strong>of</strong> an ARM, as this can lead to severe<br />

f<strong>in</strong>ancial hardship for the borrower.<br />

Any clause that sets a limitation on the amount or frequency <strong>of</strong> rate<br />

changes.<br />

Loan Caps<br />

Loan caps provide payment protection aga<strong>in</strong>st payment shock, and allow a measure <strong>of</strong><br />

<strong>in</strong>terest rate certa<strong>in</strong>ty to those who gamble with <strong>in</strong>itial fixed rates on ARM loans. <strong>The</strong>re<br />

are three types <strong>of</strong> Caps on a typical First Lien Adjustable Rate Mortgage or First Lien<br />

Hybrid Adjustable Rate Mortgage.<br />

Initial Adjustment Rate Cap: <strong>The</strong> majority <strong>of</strong> loans have a higher cap for <strong>in</strong>itial<br />

adjustments that's <strong>in</strong>dexed to the <strong>in</strong>itial fixed period. In other words, the longer the <strong>in</strong>itial<br />

fixed term, the more the bank would like to potentially adjust your loan. Typically, this<br />

cap is 2–3% above the Start Rate on a loan with an <strong>in</strong>itial fixed rate term <strong>of</strong> three years<br />

or lower and 5–6% above the Start Rate on a loan with an <strong>in</strong>itial fixed rate term <strong>of</strong> five<br />

years or greater.<br />

Rate Adjustment Cap: This is the maximum amount by which an Adjustable Rate<br />

Mortgage may <strong>in</strong>crease on each successive adjustment. Similar to the <strong>in</strong>itial cap, this<br />

cap is usually 1% above the Start Rate for loans with an <strong>in</strong>itial fixed term <strong>of</strong> three years<br />

or greater and usually 2% above the Start Rate for loans that have an <strong>in</strong>itial fixed term<br />

<strong>of</strong> five years or greater.<br />

Lifetime Cap: Most First Mortgage loans have a 5% or 6% Life Cap above the Start<br />

Rate (this ultimately varies by the lender and credit grade).<br />

<br />

Industry Shorthand for ARM Caps<br />

Inside the bus<strong>in</strong>ess caps are expressed most <strong>of</strong>ten by simply the three numbers<br />

<strong>in</strong>volved that signify each cap. For example, a 5/1 Hybrid ARM may have a cap<br />

structure <strong>of</strong> 5/2/5 (5% <strong>in</strong>itial cap, 2% adjustment cap and 5% lifetime cap) and <strong>in</strong>siders<br />

would call this a 5-2-5 cap. Alternatively, a 1-year ARM might have a 1/1/6 cap (1%<br />

<strong>in</strong>itial cap, 1% adjustment cap and 6% lifetime cap) known as a 1-1-6, or alternatively<br />

expressed as a 1/6 cap (leav<strong>in</strong>g out one digit signifies that the <strong>in</strong>itial and adjustment<br />

caps are identical).<br />

<br />

Negative amortization ARM caps<br />

See the complete article for the type <strong>of</strong> ARM that Negative amortization loans are by<br />

nature. Higher risk products, such as First Lien Monthly Adjustable loans with Negative<br />

amortization and Home equity l<strong>in</strong>es <strong>of</strong> credit (HELOCs) have different ways <strong>of</strong><br />

structur<strong>in</strong>g the Cap than a typical First Lien Mortgage. <strong>The</strong> typical First Lien Monthly<br />

Adjustable loans with Negative amortization loan has a life cap for the underly<strong>in</strong>g rate<br />

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(aka "Fully Indexed Rate") between 9.95% and 12% (maximum assessed <strong>in</strong>terest rate).<br />

Some <strong>of</strong> these loans can have much higher rate ceil<strong>in</strong>gs. <strong>The</strong> fully <strong>in</strong>dexed rate is<br />

always listed on the statement, but borrowers are shielded from the full effect <strong>of</strong> rate<br />

<strong>in</strong>creases by the m<strong>in</strong>imum payment, until the loan is recast, which is when pr<strong>in</strong>cipal and<br />

<strong>in</strong>terest payments are due that will fully amortize the loan at the fully <strong>in</strong>dexed rate.<br />

<br />

Home equity l<strong>in</strong>es <strong>of</strong> credit (HELOCs)<br />

S<strong>in</strong>ce HELOCs are <strong>in</strong>tended by banks to primarily sit <strong>in</strong> second lien position, they<br />

normally are only capped by the maximum <strong>in</strong>terest rate allowed by law <strong>in</strong> the state<br />

where<strong>in</strong> they are issued. For example, Florida currently has an 18% cap on <strong>in</strong>terest rate<br />

charges. <strong>The</strong>y are risky to the borrower <strong>in</strong> the sense that they are mostly <strong>in</strong>dexed to the<br />

Wall Street Journal prime rate, which is considered a Spot Index, or a f<strong>in</strong>ancial <strong>in</strong>dicator<br />

that is subject to immediate change (as are the loans based upon the Prime Rate). <strong>The</strong><br />

risk to borrower be<strong>in</strong>g that a f<strong>in</strong>ancial situation caus<strong>in</strong>g the Federal Reserve to raise<br />

rates dramatically (see 1980, 2006) would effect an immediate rise <strong>in</strong> obligation to the<br />

borrower, up to the capped rate.<br />

Popularity<br />

Variable rate mortgages are the most common form <strong>of</strong> loan for house purchase <strong>in</strong> the<br />

United K<strong>in</strong>gdom, Ireland and Canada but are unpopular <strong>in</strong> some other countries such as<br />

Germany. Variable rate mortgages are very common <strong>in</strong> Australia and New Zealand. In<br />

some countries, true fixed-rate mortgages are not available except for shorter-term<br />

loans; <strong>in</strong> Canada, the longest term for which a mortgage rate can be fixed is typically no<br />

more than ten years, while mortgage maturities are commonly 25 years.<br />

In many countries, it is not feasible for banks to lend at fixed rates for very long terms; <strong>in</strong><br />

these cases, the only feasible type <strong>of</strong> mortgage for banks to <strong>of</strong>fer may be adjustable<br />

rate mortgages (barr<strong>in</strong>g some form <strong>of</strong> government <strong>in</strong>tervention). For example, the<br />

mortgage <strong>in</strong>dustry <strong>of</strong> the United K<strong>in</strong>gdom has traditionally been dom<strong>in</strong>ated by build<strong>in</strong>g<br />

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societies. S<strong>in</strong>ce funds raised by UK build<strong>in</strong>g societies must be at least 50% deposits,<br />

lenders prefer variable-rate mortgages to fixed-rate mortgages to reduce potential<br />

<strong>in</strong>terest rate risks between what they charg<strong>in</strong>g <strong>in</strong> mortgage <strong>in</strong>terest and what they are<br />

pay<strong>in</strong>g <strong>in</strong> <strong>in</strong>terest for deposits and other fund<strong>in</strong>g sources.<br />

Countries where fixed rate loans are the common form <strong>of</strong> loan for a house purchase<br />

usually need to have a specific legal framework <strong>in</strong> place to make this possible. For<br />

example, <strong>in</strong> Germany and Austria the popular Bausparkassen, a type <strong>of</strong> mutual build<strong>in</strong>g<br />

societies, <strong>of</strong>fer long-term fixed rate loans. <strong>The</strong>y are legally separate from banks and<br />

require borrowers to save up a considerable amount, at a rather low fixed <strong>in</strong>terest rate,<br />

before they get their loan; this is done by requir<strong>in</strong>g the future borrower to beg<strong>in</strong> pay<strong>in</strong>g<br />

<strong>in</strong> his fixed monthly payments well before actually gett<strong>in</strong>g the loan. It is generally not<br />

possible to pay this <strong>in</strong> as a lump sum and get the loan right away; it has to be done <strong>in</strong><br />

monthly <strong>in</strong>stallments <strong>of</strong> the same size as what will be paid dur<strong>in</strong>g the payback phase <strong>of</strong><br />

the mortgage. Depend<strong>in</strong>g on whether there are enough savers <strong>in</strong> the system at any<br />

given time, payout <strong>of</strong> a loan may be delayed for some time even when the sav<strong>in</strong>gs<br />

quota has already been met by the would-be borrower. <strong>The</strong> advantage for the borrower<br />

is that the monthly payment is guaranteed never to be <strong>in</strong>creased, and the lifetime <strong>of</strong> the<br />

loan is also fixed <strong>in</strong> advance. <strong>The</strong> disadvantage is that this model, <strong>in</strong> which you have to<br />

start mak<strong>in</strong>g payments several years before actually gett<strong>in</strong>g the loan, is mostly aimed at<br />

once-<strong>in</strong>-a-lifetime home buyers who are able to plan ahead for a long time. That has<br />

become a problem with the generally higher mobility that is demanded <strong>of</strong> workers<br />

nowadays.<br />

For those who plan to move with<strong>in</strong> a relatively short period <strong>of</strong> time (three to seven<br />

years), variable rate mortgages may still be attractive because they <strong>of</strong>ten <strong>in</strong>clude a<br />

lower, fixed rate <strong>of</strong> <strong>in</strong>terest for the first three, five, or seven years <strong>of</strong> the loan, after which<br />

the <strong>in</strong>terest rate fluctuates.<br />

Pric<strong>in</strong>g<br />

Adjustable rate mortgages are typically, but not always, less expensive than fixed-rate<br />

mortgages. Due to the <strong>in</strong>herent <strong>in</strong>terest rate risk, long-term fixed rates will tend to be<br />

higher than short-term rates (which are the basis for variable-rate loans and<br />

mortgages). <strong>The</strong> difference <strong>in</strong> <strong>in</strong>terest rates between short and long-term loans is known<br />

as the yield curve, which generally slopes upward (longer terms are more expensive).<br />

<strong>The</strong> opposite circumstance is known as an <strong>in</strong>verted yield curve and is relatively<br />

<strong>in</strong>frequent.<br />

<strong>The</strong> fact that an adjustable rate mortgage has a lower start<strong>in</strong>g <strong>in</strong>terest rate does not<br />

<strong>in</strong>dicate what the future cost <strong>of</strong> borrow<strong>in</strong>g will be (when rates change). If rates rise, the<br />

cost will be higher; if rates go down, cost will be lower. In effect, the borrower has<br />

agreed to take the <strong>in</strong>terest rate risk.<br />

<strong>The</strong> actual pric<strong>in</strong>g and rate analysis <strong>of</strong> adjustable rate mortgage <strong>in</strong> the f<strong>in</strong>ance <strong>in</strong>dustry<br />

is done through various computer simulation methodologies like Monte Carlo method or<br />

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Sobol sequences. In these techniques, by us<strong>in</strong>g an assumed probability distribution <strong>of</strong><br />

future <strong>in</strong>terest rates, numerous (10,000–100,000 or even 1,000,000) possible <strong>in</strong>terest<br />

rate scenarios are explored, mortgage cash flows calculated under each, and aggregate<br />

parameters like fair value and effective <strong>in</strong>terest rate over the life <strong>of</strong> the mortgage are<br />

estimated.<br />

Hav<strong>in</strong>g these at hand, lend<strong>in</strong>g analysts determ<strong>in</strong>e whether <strong>of</strong>fer<strong>in</strong>g a particular<br />

mortgage would be pr<strong>of</strong>itable, and if it would represent tolerable risk to the bank.<br />

Prepayment<br />

Adjustable rate mortgages, like other types <strong>of</strong> mortgage, usually allow the borrower to<br />

prepay pr<strong>in</strong>cipal (or capital) early without penalty. Early payments <strong>of</strong> part <strong>of</strong> the pr<strong>in</strong>cipal<br />

will reduce the total cost <strong>of</strong> the loan (total <strong>in</strong>terest paid), but will not shorten the amount<br />

<strong>of</strong> time needed to pay <strong>of</strong>f the loan like other loan types.<br />

Upon each recast<strong>in</strong>g, the new fully <strong>in</strong>dexed <strong>in</strong>terest rate is applied to the rema<strong>in</strong><strong>in</strong>g<br />

pr<strong>in</strong>cipal to end with<strong>in</strong> the rema<strong>in</strong><strong>in</strong>g term schedule.<br />

If a mortgage is ref<strong>in</strong>anced, the borrower simultaneously takes out a new mortgage and<br />

pays <strong>of</strong>f the old mortgage; the latter counts as a prepayment.<br />

Some ARMs charge prepayment penalties <strong>of</strong> several thousand dollars if the borrower<br />

ref<strong>in</strong>ances the loan or pays it <strong>of</strong>f early, especially with<strong>in</strong> the first three or five years <strong>of</strong><br />

the loan.<br />

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Criticism<br />

Predatory lend<strong>in</strong>g<br />

Adjustable rate mortgages are sometimes sold to consumers who are unlikely to repay<br />

the loan should <strong>in</strong>terest rates rise. In the United States, extreme cases are<br />

characterized by the Consumer Federation <strong>of</strong> America as predatory loans. Protections<br />

aga<strong>in</strong>st <strong>in</strong>terest rate rises <strong>in</strong>clude (a) a possible <strong>in</strong>itial period with a fixed rate (which<br />

gives the borrower a chance to <strong>in</strong>crease his/her annual earn<strong>in</strong>gs before payments rise);<br />

(b) a maximum (cap) that <strong>in</strong>terest rates can rise <strong>in</strong> any year (if there is a cap, it must be<br />

specified <strong>in</strong> the loan document); and (c) a maximum (cap) that <strong>in</strong>terest rates can rise<br />

over the life <strong>of</strong> the mortgage (this also must be specified <strong>in</strong> the loan document).<br />

Interest Rate Errors and Overcharges<br />

In September 1991, the Government Accountability Office (GAO) released a study <strong>of</strong><br />

Adjustable Rate Mortgages <strong>in</strong> the United States which found between 20% and 25% <strong>of</strong><br />

the ARM loans out <strong>of</strong> the estimated 12 million at the time conta<strong>in</strong>ed Interest Rate Errors.<br />

A former federal mortgage bank<strong>in</strong>g auditor estimated these mistakes created at least<br />

<strong>US</strong>$10 billion <strong>in</strong> net overcharges to American home-owners. Such errors occurred when<br />

the related mortgage servicer selected the <strong>in</strong>correct <strong>in</strong>dex date, used an <strong>in</strong>correct<br />

marg<strong>in</strong>, or ignored <strong>in</strong>terest rate change caps.<br />

In July 1994, Consumer Loan Advocates, a non-pr<strong>of</strong>it mortgage audit<strong>in</strong>g firm<br />

announced that as many as 18% <strong>of</strong> Adjustable Rate Mortgages have errors cost<strong>in</strong>g the<br />

borrower more than $5,000 <strong>in</strong> <strong>in</strong>terest overcharges.<br />

In December 1995, a government study concluded that 50–60% <strong>of</strong> all Adjustable Rate<br />

Mortgages <strong>in</strong> the United States conta<strong>in</strong> an error regard<strong>in</strong>g the variable <strong>in</strong>terest rate<br />

charged to the homeowner. [11] <strong>The</strong> study estimated the total amount <strong>of</strong> <strong>in</strong>terest<br />

overcharged to borrowers was <strong>in</strong> excess <strong>of</strong> $8 billion. Inadequate computer programs,<br />

<strong>in</strong>correct completion <strong>of</strong> documents and calculation errors were cited as the major<br />

causes <strong>of</strong> <strong>in</strong>terest rate overcharges. No other government studies have been conducted<br />

<strong>in</strong>to ARM <strong>in</strong>terest overcharges.<br />

History<br />

TITLE VIII, ALTERNATIVE MORTGAGE TRANSACTIONS, Garn–St. Germa<strong>in</strong><br />

Depository Institutions Act <strong>of</strong> 1982 allowed Adjustable rate mortgages.<br />

ARM <strong>in</strong> S<strong>in</strong>gapore<br />

In S<strong>in</strong>gapore, ARM is commonly known as float<strong>in</strong>g rate or variable rate mortgage.<br />

Unlike fixed-rate mortgage <strong>in</strong> the country, a float<strong>in</strong>g rate mortgage has its <strong>in</strong>terest rate<br />

vary<strong>in</strong>g dur<strong>in</strong>g the entire duration <strong>of</strong> the loan. <strong>The</strong>se loans can be pegged to the<br />

Page 230 <strong>of</strong> 289


ank board rate,<br />

SIBOR, or<br />

SOR<br />

Typically the structure <strong>of</strong> the <strong>in</strong>terest rate <strong>of</strong> the mortgage is as follow<br />

First Year<br />

Period<br />

Second Year<br />

Interest Rate (p.a.)<br />

0.75% + 1-Month SIBOR<br />

0.75% + 1-Month SIBOR<br />

Third Year<br />

1.00% + 1-Month SIBOR<br />

Fourth Year Onwards 1.25% + 1-Month SIBOR<br />

<strong>The</strong> loan can be pegged to SIBOR or SOR <strong>of</strong> any duration, and a spread (marg<strong>in</strong>) is<br />

tacked to the X-month SIBOR/SOR. <strong>The</strong> spread is usually adjusted upwards after the<br />

first few years.<br />

Between SIBOR, SOR and the board rate, SIBOR-pegged ARMs are the most popular.<br />

However, recently, ANZ <strong>in</strong>troduced an ARM that is pegged to the average <strong>of</strong> SIBOR<br />

and SOR. Till date, it is the only bank <strong>in</strong> S<strong>in</strong>gapore to <strong>of</strong>fer such a mortgage.<br />

Mortgage Loan<br />

F<strong>in</strong>ancial literacy<br />

Interest<br />

rate type<br />

Repayment<br />

type<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

fixed-rate mortgage<br />

adjustable-rate mortgage / variable-rate / float<strong>in</strong>g rate<br />

Cont<strong>in</strong>uous: Repayment mortgage / self-amortized<br />

Repayment at term: <strong>in</strong>terest-only mortgage (endowment mortgage)<br />

No repayment: reverse mortgage<br />

Hybrid: balloon payment mortgage<br />

equity release (shared appreciation mortgage)<br />

Variable<br />

payment<br />

Other<br />

variations<br />

<br />

<br />

<br />

<br />

<br />

<br />

flexible mortgage (<strong>of</strong>fset mortgage, mortgage accelerator)<br />

graduated payment mortgage loan<br />

buy to let mortgage<br />

foreign currency mortgage<br />

foreign national mortgage<br />

wraparound mortgage<br />

Key Annual percentage rate (APR)<br />

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concepts Foreclosure / Repossession<br />

<br />

<br />

<br />

<br />

<br />

Introductory rate<br />

Teaser rate<br />

VA loan<br />

United States hous<strong>in</strong>g bubble<br />

<strong>US</strong> mortgage term<strong>in</strong>ology<br />

______<br />

Mortgage Calculator<br />

How to Calculate Mortgage Loan Payments, Amortization Schedules<br />

(Tables) by Hand or Computer Programm<strong>in</strong>g<br />

First you must def<strong>in</strong>e some variables to make it easier to set up:<br />

P = pr<strong>in</strong>cipal, the <strong>in</strong>itial amount <strong>of</strong> the loan<br />

I = the annual <strong>in</strong>terest rate (from 1 to 100 percent)<br />

L = length, the length (<strong>in</strong> years) <strong>of</strong> the loan, or at least the length over which the loan<br />

is amortized.<br />

<strong>The</strong> follow<strong>in</strong>g assumes a typical conventional loan where the <strong>in</strong>terest is compounded<br />

monthly.<br />

First I will def<strong>in</strong>e two more variables to make the calculations easier:<br />

J = monthly <strong>in</strong>terest <strong>in</strong> decimal form = I / (12 x 100)<br />

N = number <strong>of</strong> months over which loan is amortized = L x 12<br />

Okay now for the big monthly payment (M) formula, it is:<br />

J<br />

M = P x ------------------------<br />

1 - ( 1 + J ) ^ -N<br />

where 1 is the number one<br />

(it does not appear too clearly on some browsers)<br />

So to calculate it, you would first calculate 1 + J then take that to the -N (m<strong>in</strong>us N)<br />

power, subtract that from the number 1. Now take the <strong>in</strong>verse <strong>of</strong> that (if you have a 1/X<br />

button on your calculator push that). <strong>The</strong>n multiply the result times J and then times P.<br />

Sorry, for the long way <strong>of</strong> expla<strong>in</strong><strong>in</strong>g it, but I just wanted to be clear for everybody.<br />

Page 232 <strong>of</strong> 289


<strong>The</strong> one-l<strong>in</strong>er for a program would be (adjust for your favorite language):<br />

M = P * (J/(1-(1+J) ** -N))<br />

So now you should be able to calculate the monthly payment, M. To calculate the<br />

amortization table you need to do some iteration (i.e. a simple loop). I will tell you the<br />

simple steps :<br />

Step 1: Calculate H = P x J, this is your current monthly <strong>in</strong>terest<br />

Step 2: Calculate C = M - H, this is your monthly payment m<strong>in</strong>us your monthly <strong>in</strong>terest,<br />

so it is the amount <strong>of</strong> pr<strong>in</strong>cipal you pay for that month<br />

Step 3: Calculate Q = P - C, this is the new balance <strong>of</strong> your pr<strong>in</strong>cipal <strong>of</strong> your loan.<br />

Step 4: Set P equal to Q and go back to Step 1: You thusly loop around until the value<br />

Q (and hence P)<br />

goes to zero.<br />

Programmers will see how this makes a trivial little loop to code, but I have found that<br />

many people now surf<strong>in</strong>g on the Internet are NOT programmers and still want to<br />

calculate their mortgages! So this page was dedicated more to the latter. If you have<br />

any further questions you can contact me for more <strong>in</strong>fo.<br />

F<strong>in</strong>d<strong>in</strong>g the Number <strong>of</strong> Periods given a Payment, Interest and Loan<br />

Amount<br />

This formula previously was not explicit enough!! <strong>The</strong> 1/q factor <strong>in</strong> there was to<br />

convert the number <strong>of</strong> periods <strong>in</strong>to years. For number <strong>of</strong> payments this must<br />

actually be left out.<br />

Many people have asked me how to f<strong>in</strong>d N (number <strong>of</strong> payments) given the payment,<br />

<strong>in</strong>terest and loan amount. I didn't know the answer and <strong>in</strong> my calculators I f<strong>in</strong>d it by<br />

do<strong>in</strong>g a b<strong>in</strong>ary search over the payment formula above. However, Gary R. Walo (<br />

nenonen5@southeast.net) found the answer to the actual formula <strong>in</strong> the book: <strong>The</strong> Vest<br />

Pocket Real Estate Advisor by Mart<strong>in</strong> Miles (Prentice Hall).<br />

Here is the corrected formula:<br />

n = - (LN(1-(B/m)*(r/q)))/LN(1+(r/q))<br />

# years = - 1/q * (LN(1-(B/m)*(r/q)))/LN(1+(r/q))<br />

Where:<br />

<br />

<br />

<br />

q = amount <strong>of</strong> annual payment periods<br />

r = <strong>in</strong>terest rate<br />

B = pr<strong>in</strong>cipal<br />

Page 233 <strong>of</strong> 289


m = payment amount<br />

n = amount payment periods<br />

LN = natural logarithm<br />

For F<strong>in</strong>d<strong>in</strong>g Rema<strong>in</strong><strong>in</strong>g Pr<strong>in</strong>cipal Balance<br />

<strong>The</strong> follow<strong>in</strong>g formula will calculate your rema<strong>in</strong><strong>in</strong>g balance if you have made t <strong>of</strong> N<br />

fixed payments <strong>in</strong> a timely basis (i.e. by the due date) so that no additional <strong>in</strong>terest has<br />

accrued.<br />

where:<br />

P = P*(1 -((1 + J)**t - 1)/((1 + J)**N - 1))<br />

P = pr<strong>in</strong>cipal, the <strong>in</strong>itial amount <strong>of</strong> the loan<br />

I = the annual <strong>in</strong>terest rate (from 1 to 100 percent)<br />

L = length, the length (<strong>in</strong> years) <strong>of</strong> the loan, or at least the length over which the<br />

loan is amortized.<br />

J = monthly <strong>in</strong>terest <strong>in</strong> decimal form = I / (12 x 100)<br />

N = number <strong>of</strong> months over which loan is amortized = L x 12<br />

t=number <strong>of</strong> paid monthly loan payments<br />

This is from Mortgage Backed Securities by William W Barlett and was sent to me by<br />

Victor Kheyfets.<br />

If you would like to calculate an outstand<strong>in</strong>g loan balance but have not made regular<br />

fixed payments by the due date, you will have to fill out an accurate payment schedule<br />

with<strong>in</strong> a spreadsheet, or similar application where you can account for miss<strong>in</strong>g and<br />

different payments.<br />

F<strong>in</strong>d<strong>in</strong>g the Interest Rate Given Loan Amount, Payment and Number<br />

<strong>of</strong> Periods<br />

Many folks have asked me for a simple formula to calculate the <strong>in</strong>terest rate give the<br />

other three terms (loan amount, payment and # <strong>of</strong> periods). I can calculate the number<br />

easily enough, but I have no idea if there is a simple formula to do it or not. I do it the<br />

good old fashioned way -- plug and chug! Luckily, a computer program makes "plug and<br />

chug" trivial and speedy with a simple b<strong>in</strong>ary search:<br />

m<strong>in</strong>_rate = 0; max_rate = 100; # Set Maximum and m<strong>in</strong>imum rate<br />

while (m<strong>in</strong>_rate < max_rate - 0.0001)<br />

{<br />

mid_rate = (m<strong>in</strong>_rate + max_rate) / 2; # Divide by 2<br />

J = mid_rate / 1200; # Convert to monthly decimal<br />

# calculate payment from <strong>in</strong>terest, term and loan_amt<br />

guessed_pmt = loan_amt * ( J / (1 - (1 + J) ** -N ));<br />

Page 234 <strong>of</strong> 289


if (guessed_pmt > actual_payment)<br />

{<br />

max_rate = mid_rate; # current rate is new maximum<br />

}<br />

else<br />

{<br />

m<strong>in</strong>_rate = mid_rate; # current rate is new m<strong>in</strong>imum<br />

}<br />

}<br />

pr<strong>in</strong>t " <strong>The</strong> Rate is ", mid_rate;<br />

On any modern computer this runs pretty much <strong>in</strong>stantaneously.<br />

Canadian Formula<br />

Canadian mortgages are compounded semi-annually <strong>in</strong>stead <strong>of</strong> monthly like<br />

<strong>US</strong> mortgages.<br />

Monthly Pmt =<br />

(P*(((1+i/200)^(1/6)-1))/(1-(((1+i/200)^(1/6)))^-(n*12)))<br />

Where:<br />

P = pr<strong>in</strong>cipal outstand<strong>in</strong>g<br />

i = annual <strong>in</strong>terest rate percentage<br />

n = number <strong>of</strong> years<br />

Here is a easier to read representation:<br />

i 1/6<br />

( 1 + --- ) - 1<br />

200<br />

Pmt = Pr<strong>in</strong>cipal x ------------------------<br />

i 1/6 -12 x n<br />

1 - [ (1 + --- ) ]<br />

200<br />

Or to convert canadian <strong>in</strong>terest rates to <strong>US</strong> <strong>in</strong>terest rates:<br />

Can. Rate 1/6<br />

<strong>US</strong> Rate = 1200 x [ ( 1 + --------- ) - 1 ]<br />

200<br />

or as a formula, <strong>US</strong> Rate = 1200 * ((1 + Can.Rate/200)^(1/6) - 1)<br />

You'll note if you plug this <strong>in</strong>to the <strong>US</strong> formula you get the above formula for payment.<br />

Page 235 <strong>of</strong> 289


3. Creditworth<strong>in</strong>ess Is <strong>of</strong> No Consequence<br />

- Def<strong>in</strong>ed<br />

An assessment <strong>of</strong> the likelihood that a borrower will default on his or her debt<br />

obligations. It is based upon factors, such as his/her history <strong>of</strong> repayment and credit<br />

score. Lend<strong>in</strong>g <strong>in</strong>stitutions also consider the availability <strong>of</strong> assets and extent <strong>of</strong> liabilities<br />

to determ<strong>in</strong>e the probability <strong>of</strong> default.<br />

- Investopedia<br />

______<br />

A credit rat<strong>in</strong>g is an evaluation <strong>of</strong> the credit worth<strong>in</strong>ess <strong>of</strong> a debtor, especially a<br />

bus<strong>in</strong>ess (company) or a government, but not <strong>in</strong>dividual consumers. <strong>The</strong> evaluation is<br />

made by a credit rat<strong>in</strong>g agency <strong>of</strong> the debtor's ability to pay back the debt and the<br />

likelihood <strong>of</strong> default. Evaluations <strong>of</strong> <strong>in</strong>dividuals' credit worth<strong>in</strong>ess are known as credit<br />

report<strong>in</strong>g and done by credit bureaus, or consumer credit report<strong>in</strong>g agencies, which<br />

issue credit scores.<br />

Page 236 <strong>of</strong> 289


Credit rat<strong>in</strong>gs are determ<strong>in</strong>ed by credit rat<strong>in</strong>gs agencies. <strong>The</strong> credit rat<strong>in</strong>g represents<br />

the credit rat<strong>in</strong>g agency's evaluation <strong>of</strong> qualitative and quantitative <strong>in</strong>formation for a<br />

company or government; <strong>in</strong>clud<strong>in</strong>g non-public <strong>in</strong>formation obta<strong>in</strong>ed by the credit rat<strong>in</strong>g<br />

agencies' analysts.<br />

<strong>The</strong> credit rat<strong>in</strong>g is used by <strong>in</strong>dividuals and entities that purchase the bonds issued by<br />

companies and governments to determ<strong>in</strong>e the likelihood that the government will pay its<br />

bond obligations.<br />

A poor credit rat<strong>in</strong>g <strong>in</strong>dicates a credit rat<strong>in</strong>g agency's op<strong>in</strong>ion that the company or<br />

government has a high risk <strong>of</strong> default<strong>in</strong>g, based on the agency's analysis <strong>of</strong> the entity's<br />

history and analysis <strong>of</strong> long term economic prospects.<br />

Sovereign credit rat<strong>in</strong>gs<br />

A sovereign credit rat<strong>in</strong>g is the credit rat<strong>in</strong>g <strong>of</strong> a sovereign entity, i.e., a national<br />

government. <strong>The</strong> sovereign credit rat<strong>in</strong>g <strong>in</strong>dicates the risk level <strong>of</strong> the <strong>in</strong>vest<strong>in</strong>g<br />

environment <strong>of</strong> a country and is used by <strong>in</strong>vestors look<strong>in</strong>g to <strong>in</strong>vest abroad. It takes<br />

political risk <strong>in</strong>to account.<br />

Source: Euromoney Country Risk<br />

Country Risk Rank<strong>in</strong>gs (January 2013)<br />

Least risky countries, Score out <strong>of</strong> 100 Previous Country Overall score<br />

Rank<br />

1 1 Norway 89.87<br />

2 3 Luxembourg 87.29<br />

3 4 S<strong>in</strong>gapore 86.81<br />

4 5 Sweden 86.81<br />

5 2 Switzerland 86.78<br />

6 6 F<strong>in</strong>land 84.54<br />

7 7 Denmark 82.64<br />

8 9 Hong Kong 82.43<br />

9 8 Netherlands 81.82<br />

10 8 Canada 81.82<br />

<strong>The</strong> "country risk rank<strong>in</strong>gs" table shows the ten least-risky countries for <strong>in</strong>vestment as <strong>of</strong><br />

January 2013. Rat<strong>in</strong>gs are further broken down <strong>in</strong>to components <strong>in</strong>clud<strong>in</strong>g political risk,<br />

economic risk. Euromoney's bi-annual country risk <strong>in</strong>dex monitors the political and<br />

economic stability <strong>of</strong> 185 sovereign countries. Results focus foremost on economics,<br />

specifically sovereign default risk and/or payment default risk for exporters (a.k.a. "trade<br />

credit" risk).<br />

Page 237 <strong>of</strong> 289


A. M. Best def<strong>in</strong>es "country risk" as the risk that country-specific factors could adversely<br />

affect an <strong>in</strong>surer's ability to meet its f<strong>in</strong>ancial obligations.<br />

Short-Term Rat<strong>in</strong>g<br />

A short-term rat<strong>in</strong>g is a probability factor <strong>of</strong> an <strong>in</strong>dividual go<strong>in</strong>g <strong>in</strong>to default with<strong>in</strong> a year.<br />

This is <strong>in</strong> contrast to long-term rat<strong>in</strong>g which is evaluated over a long timeframe. In the<br />

past <strong>in</strong>stitutional <strong>in</strong>vestors preferred to consider long-term rat<strong>in</strong>gs. Nowadays, shortterm<br />

rat<strong>in</strong>gs are commonly used.<br />

First, the Basel II agreement requires banks to report their one-year rose if they applied<br />

<strong>in</strong>ternal-rat<strong>in</strong>gs-based approach for capital requirements. Second, many <strong>in</strong>stitutional<br />

<strong>in</strong>vestors can easily manage their credit/bond portfolios with derivatives on monthly or<br />

quarterly basis. <strong>The</strong>refore, some rat<strong>in</strong>g agencies simply report short-term rat<strong>in</strong>gs.<br />

Corporate credit rat<strong>in</strong>gs<br />

Credit rat<strong>in</strong>gs that concern corporations are usually <strong>of</strong> a corporation's f<strong>in</strong>ancial<br />

<strong>in</strong>struments i.e. debt security such as a bond, but corporations themselves are also<br />

sometimes rated. Rat<strong>in</strong>gs are assigned by credit rat<strong>in</strong>g agencies, the largest <strong>of</strong> which<br />

are Standard & Poor's, Moody's and Fitch Rat<strong>in</strong>gs. <strong>The</strong>y use letter designations such as<br />

A, B, C. Higher grades are <strong>in</strong>tended to represent a lower probability <strong>of</strong> default.<br />

Agencies do not attach a hard number <strong>of</strong> probability <strong>of</strong> default to each grade, preferr<strong>in</strong>g<br />

descriptive def<strong>in</strong>itions such as: "the obligor's capacity to meet its f<strong>in</strong>ancial commitment<br />

on the obligation is extremely strong," or "less vulnerable to non-payment than other<br />

speculative issues ..." (Standard and Poors' def<strong>in</strong>ition <strong>of</strong> a AAA rated and a BB rated<br />

bond respectively). However, some studies have estimated the average risk and reward<br />

<strong>of</strong> bonds by rat<strong>in</strong>g. One study by a rat<strong>in</strong>g service (Moody's) claimed that over a "5-year<br />

time horizon" bonds it gave its highest rat<strong>in</strong>g (Aaa) to had a "cumulative default rate" <strong>of</strong><br />

just 0.18%, the next highest (Aa2) 0.28%, the next (Baa2) 2.11%, 8.82% for the next<br />

(Ba2), and 31.24% for the lowest it studied (B2). (See "Default rate" <strong>in</strong> "Estimated<br />

spreads and default rates by rat<strong>in</strong>g grade" table to right.) Over a longer time horizon it<br />

stated "the order is by and large, but not exactly, preserved".<br />

Estimated Spreads And<br />

Default Rates by Rat<strong>in</strong>g Grade<br />

Rat<strong>in</strong>g<br />

Basis<br />

Po<strong>in</strong>t<br />

Spread<br />

Default<br />

Rate<br />

AAA/Aaa 43 0.18%<br />

AA/Aa2 73 0.28%<br />

A 99 n/a<br />

BBB/Baa2 166 2.11%<br />

Page 238 <strong>of</strong> 289


BB/Ba2 299 8.82%<br />

B/B2 404 31.24%<br />

CCC 724 n/a<br />

Sources: Basis spread from<br />

Federal Reserve Bank <strong>of</strong><br />

New York Quarterly Review,<br />

Summer-Fall 1994";<br />

Default rate from study<br />

by Moody's <strong>in</strong>vestment service<br />

Another study <strong>in</strong> Journal <strong>of</strong> F<strong>in</strong>ance calculated the additional <strong>in</strong>terest rate or "spread"<br />

corporate bonds pay over that <strong>of</strong> "riskless" <strong>US</strong> Treasury bonds, accord<strong>in</strong>g to the bonds<br />

rat<strong>in</strong>g. (See "Basis po<strong>in</strong>t spread" <strong>in</strong> table to right.) Look<strong>in</strong>g at rated bonds from 1973–<br />

89, the authors found a AAA rated bond paid only 43 "basis po<strong>in</strong>ts" (or 43/100th <strong>of</strong> a<br />

percentage po<strong>in</strong>t) over a Treasury bond (so that it would yield 3.43% if the Treasury<br />

yielded 3.00%). A CCC-rated "junk" (or speculative) bond on the other hand, paid over<br />

4% (404 basis po<strong>in</strong>ts) more than a Treasury on average over that period.<br />

Different rat<strong>in</strong>g agencies may use variations <strong>of</strong> an alphabetical comb<strong>in</strong>ation <strong>of</strong> lower and<br />

upper case letters, with either plus or m<strong>in</strong>us signs or numbers added to further f<strong>in</strong>e tune<br />

the rat<strong>in</strong>g (see colored chart). <strong>The</strong> Standard & Poor's rat<strong>in</strong>g scale uses upper case<br />

letters and pluses and m<strong>in</strong>uses. <strong>The</strong> Moody's rat<strong>in</strong>g system uses numbers and lower<br />

case letters as well as upper case.<br />

While Moody's, S&P and Fitch Rat<strong>in</strong>gs control approximately 95% <strong>of</strong> the credit rat<strong>in</strong>gs<br />

bus<strong>in</strong>ess, they are not the only rat<strong>in</strong>g agencies. DBRS's long-term rat<strong>in</strong>gs scale is<br />

somewhat similar to Standard & Poor's and Fitch Rat<strong>in</strong>gs with the words high and low<br />

replac<strong>in</strong>g the + and −. It goes as follows, from excellent to poor: AAA, AA(high), AA,<br />

AA(low), A(high), A, A(low), BBB(high), BBB, BBB(low), BB(high), BB, BB(low), B(high),<br />

B, B(low), CCC(high), CCC, CCC(low), CC(high), CC, CC(low), C(high), C, C(low) and<br />

D. <strong>The</strong> short-term rat<strong>in</strong>gs <strong>of</strong>ten maps to long-term rat<strong>in</strong>gs though there is room for<br />

exceptions at the high or low side <strong>of</strong> each equivalent.<br />

S&P, Moody's, Fitch and DBRS are the only four rat<strong>in</strong>gs agencies that are recognized<br />

by the European Central Bank for the purposes <strong>of</strong> determ<strong>in</strong><strong>in</strong>g collateral requirements<br />

for banks to borrow from the central bank. <strong>The</strong> ECB uses a first, best rule among the<br />

four agencies that have the designated ECAI status. That means that it takes the<br />

highest rat<strong>in</strong>g among the four - S&P, Moody's, Fitch and DBRS - to determ<strong>in</strong>e haircuts<br />

and collateral requirements for borrow<strong>in</strong>g. Rat<strong>in</strong>gs <strong>in</strong> Europe have been under close<br />

scrut<strong>in</strong>y, particularly the highest rat<strong>in</strong>gs given to countries like Spa<strong>in</strong>, Ireland and Italy<br />

because it affects how much banks can borrow aga<strong>in</strong>st sovereign debt they hold.<br />

A. M. Best rates from excellent to poor <strong>in</strong> the follow<strong>in</strong>g manner: A++, A+, A, A−, B++,<br />

B+, B, B−, C++, C+, C, C−, D, E, F, and S. <strong>The</strong> CTRISKS rat<strong>in</strong>g system is as follows:<br />

CT3A, CT2A, CT1A, CT3B, CT2B, CT1B, CT3C, CT2C and CT1C. All these CTRISKS<br />

grades are mapped to one-year probability <strong>of</strong> default.<br />

Page 239 <strong>of</strong> 289


Moody's S&P Fitch<br />

Longterm<br />

Shortterm<br />

Longterm<br />

Shortterm<br />

Longterm<br />

Shortterm<br />

rat<strong>in</strong>g description<br />

Aaa<br />

AAA<br />

AAA<br />

Prime<br />

Aa1 AA+ AA+<br />

A-1+<br />

F1+<br />

Aa2 AA AA<br />

P-1<br />

Aa3 AA− AA−<br />

High grade<br />

A1 A+<br />

A+<br />

A-1<br />

F1 Upper medium<br />

A2 A A<br />

grade<br />

A3<br />

A−<br />

A−<br />

P-2<br />

F2<br />

Baa1 BBB+ A-2 BBB+<br />

Lower medium<br />

Baa2<br />

BBB<br />

BBB<br />

P-3<br />

F3<br />

grade<br />

Baa3 BBB− A-3 BBB−<br />

Ba1<br />

BB+<br />

BB+<br />

Non-<strong>in</strong>vestment<br />

Ba2 BB BB<br />

grade<br />

Ba3 BB− BB−<br />

speculative<br />

B<br />

B<br />

B1 B+ B+<br />

B2 B B<br />

Highly speculative<br />

B3 B− B−<br />

Caa1<br />

CCC+<br />

CCC+<br />

Caa2 Not Prime CCC CCC<br />

Substantial risks<br />

Caa3 CCC− CCC−<br />

C<br />

C<br />

Extremely<br />

CC<br />

CC<br />

Ca<br />

speculative<br />

C C Default imm<strong>in</strong>ent<br />

C<br />

RD<br />

DDD<br />

/ SD D DD D In default<br />

/ D D<br />

Credit Rat<strong>in</strong>g Agencies<br />

In addition to "the Big Three" <strong>of</strong> Moody's, Standard & Poor's, and Fitch Rat<strong>in</strong>gs, other<br />

agencies and rat<strong>in</strong>g companies <strong>in</strong>clude (<strong>in</strong> alphabetical order):<br />

Agusto & Co. (Nigeria), A. M. Best (U.S.), Ch<strong>in</strong>a Chengx<strong>in</strong> Credit Rat<strong>in</strong>g Group (Ch<strong>in</strong>a),<br />

Shanghai Brilliance Credit Rat<strong>in</strong>g & Investors Service Co.,Ltd (Ch<strong>in</strong>a), Credit Rat<strong>in</strong>g<br />

Agency Ltd (Zambia), Credit Rat<strong>in</strong>g Information and Services Limited (Bangladesh),<br />

CTRISKS (Hong Kong), Dagong Europe Credit Rat<strong>in</strong>g (Italy), DBRS (Canada), Dun &<br />

Bradstreet (U.S.), Egan-Jones Rat<strong>in</strong>g Company (U.S.), Global Credit Rat<strong>in</strong>gs Co.<br />

(South Africa), HR Rat<strong>in</strong>gs (Mexico), PACRA Limited (Pakistan) ICRA Limited (India),<br />

Page 240 <strong>of</strong> 289


Japan Credit Rat<strong>in</strong>g Agency (Japan), Lev<strong>in</strong> and Goldste<strong>in</strong> (Zambia), Morn<strong>in</strong>gstar, Inc.<br />

(U.S.), Muros Rat<strong>in</strong>gs (Russia, alternative rat<strong>in</strong>g company), Public Sector Credit<br />

Solutions (U.S., not-for pr<strong>of</strong>it rat<strong>in</strong>g provider), Rapid Rat<strong>in</strong>gs International [26] (U.S.),<br />

RusRat<strong>in</strong>g (Russia), Universal Credit Rat<strong>in</strong>g Group (Hong Kong), Veda (Australia,<br />

previously known as Baycorp Advantage), Wikirat<strong>in</strong>g (Switzerland, alternative rat<strong>in</strong>g<br />

organization), Humphreys Ltd (Chile, previously known as Moody´s Partner <strong>in</strong> Chile),<br />

Credit Research Initiative (S<strong>in</strong>gapore, non-pr<strong>of</strong>it rat<strong>in</strong>g provider).<br />

4. Next We Review Each Partner’s Percentage <strong>of</strong> Income,<br />

and, as Determ<strong>in</strong>ed by National/ International Averages,<br />

We Determ<strong>in</strong>es the Percentage <strong>of</strong> Payment for Each<br />

Partner<br />

<strong>The</strong> Twenty-Eight Percent (28 %) Threshold<br />

<strong>The</strong>refore, the bank th<strong>in</strong>ks you can devote up to 28 percent <strong>of</strong> your household <strong>in</strong>come<br />

to your mortgage payment and expenses (<strong>in</strong>clud<strong>in</strong>g taxes, <strong>in</strong>surance and association<br />

dues). Banks will also typically allow a total debt-to-<strong>in</strong>come ratio <strong>of</strong> up to around 36<br />

percent.<br />

______<br />

Mortgages: How Much Can You Afford?<br />

By James E. McWh<strong>in</strong>ney<br />

Regardless <strong>of</strong> where you live, how much you earn or what type <strong>of</strong> house you are<br />

shopp<strong>in</strong>g for, as soon as you f<strong>in</strong>d out how much the seller is ask<strong>in</strong>g, your first reaction<br />

might be someth<strong>in</strong>g like, "Wow! That's expensive!" Your <strong>in</strong>itial assessment is correct.<br />

With prices ris<strong>in</strong>g quickly, particularly <strong>in</strong> areas like New York and Boston, even starter<br />

homes can carry hefty six-figure price tags. Your next reaction is likely to be, "Can I<br />

afford that?"<br />

Generally speak<strong>in</strong>g, most prospective homeowners can afford to mortgage a property<br />

that costs between 2 and 2.5 times their gross <strong>in</strong>come. Under this formula, a person<br />

earn<strong>in</strong>g $100,000 per year can afford to mortgage between $200,000 and $250,000.<br />

But this calculation is only a general guidel<strong>in</strong>e.<br />

Ultimately, when decid<strong>in</strong>g on a property, you need to consider a few more factors. First,<br />

it's a good idea to have an understand<strong>in</strong>g <strong>of</strong> what your lender th<strong>in</strong>ks you can afford – to<br />

ga<strong>in</strong> a precise idea <strong>of</strong> what size <strong>of</strong> mortgage their clients can handle, lenders use<br />

formulas that are much more complex and thorough. Secondly, you need to determ<strong>in</strong>e<br />

some personal criteria by evaluat<strong>in</strong>g not only your f<strong>in</strong>ances but also your preferences.<br />

Page 241 <strong>of</strong> 289


Lender's Criteria: Debt-to-Income Ratios<br />

From a lender's perspective, your ability to purchase a home depends largely on the<br />

follow<strong>in</strong>g factors:<br />

Front-End Ratio. <strong>The</strong> front-end ratio is the percentage <strong>of</strong> your yearly gross <strong>in</strong>come<br />

dedicated toward pay<strong>in</strong>g your mortgage each month. Your mortgage payment consists<br />

<strong>of</strong> four components: pr<strong>in</strong>cipal, <strong>in</strong>terest, taxes and <strong>in</strong>surance (<strong>of</strong>ten collectively referred<br />

to as PITI) (see Understand<strong>in</strong>g <strong>The</strong> Mortgage Payment Structure). A good rule <strong>of</strong> thumb<br />

is that PITI should not exceed 28% <strong>of</strong> your gross <strong>in</strong>come. However, many lenders let<br />

borrowers exceed 30%, and some even let borrowers exceed 40%.<br />

Back-End Ratio. <strong>The</strong> back-end ratio, also known as the debt-to-<strong>in</strong>come ratio (DTI),<br />

calculates the percentage <strong>of</strong> your gross <strong>in</strong>come required to cover your debts. Debts<br />

<strong>in</strong>clude your mortgage, credit card payments, child support and other loan payments.<br />

Most lenders recommend that your DTI does not exceed 36% <strong>of</strong> your gross <strong>in</strong>come. To<br />

calculate your<br />

maximum<br />

monthly debt<br />

based on this<br />

ratio, multiply<br />

your gross<br />

<strong>in</strong>come by<br />

0.36 and<br />

divide by 12.<br />

For example,<br />

if you earn<br />

$100,000 per<br />

year, your<br />

maximum<br />

monthly debt<br />

expenses<br />

should not<br />

exceed<br />

$3,000.<br />

Down<br />

Payment. A<br />

down payment <strong>of</strong> at least 20% <strong>of</strong> the purchase price <strong>of</strong> the home m<strong>in</strong>imizes <strong>in</strong>surance<br />

requirements, but many lenders let buyers purchase a home with significantly smaller<br />

down payments. <strong>The</strong> down payment has a direct impact on your mortgage payment,<br />

and, therefore, also on both the front-end and back-end ratios. Larger down payments<br />

enable buyers to purchase more expensive homes.<br />

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Be<strong>in</strong>g House Poor: a Personal Decision<br />

To be 'house poor' means that the costs <strong>of</strong> pay<strong>in</strong>g for, and ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g, your home take<br />

up such a large percentage <strong>of</strong> your <strong>in</strong>come that you don't have enough money left to<br />

cover other expenses. As grim as that sounds, many people choose to be 'house poor'<br />

because they believe that it's wise to purchase the most expensive home that they can<br />

afford, regardless <strong>of</strong> how far they have to stretch. <strong>The</strong>ir theory is that, over time, their<br />

<strong>in</strong>come will <strong>in</strong>crease as a result <strong>of</strong> raises and promotions, mak<strong>in</strong>g that expensive<br />

mortgage a smaller and smaller percentage <strong>of</strong> their monthly expenses.<br />

Clearly, those who choose to be 'house poor' have their own set personal criteria<br />

determ<strong>in</strong><strong>in</strong>g what k<strong>in</strong>d <strong>of</strong> home they can afford. (To learn more about the home costs,<br />

Personal Criteria<br />

<strong>The</strong> decision <strong>of</strong> whether or not to be 'house poor' is largely a matter <strong>of</strong> personal choice<br />

– s<strong>in</strong>ce gett<strong>in</strong>g approved for a mortgage doesn't mean that you can actually afford the<br />

payments. So, <strong>in</strong> addition to the lender's criteria, consider the follow<strong>in</strong>g issues and set<br />

some decisive factors <strong>of</strong> your own:<br />

Income. When contemplat<strong>in</strong>g your ability to pay a mortgage, ask yourself the follow<strong>in</strong>g<br />

questions: Are you rely<strong>in</strong>g on two <strong>in</strong>comes just to pay the bills? Is your job stable? Can<br />

you easily f<strong>in</strong>d another job that pays the same, or better, wages if you should lose your<br />

current job?Expenses <strong>The</strong> calculation <strong>of</strong> your back-end-ratio will <strong>in</strong>clude most <strong>of</strong> your<br />

current debt expenses, but what about other expenses that you haven't generated yet?<br />

Will you have kids <strong>in</strong> college someday? Do you have plans to buy a new car, truck or<br />

boat? Does your family enjoy a yearly vacation?<br />

Lifestyle. Are you will<strong>in</strong>g to change your lifestyle to get the house you want? If fewer<br />

trips to the mall and a little tighten<strong>in</strong>g <strong>of</strong> the budget doesn't bother you, apply<strong>in</strong>g a higher<br />

back-end-ratio might work out f<strong>in</strong>e. If you can't live without that double mocha<br />

cappucc<strong>in</strong>o every morn<strong>in</strong>g, you might want to play it safe, and take a more conservative<br />

approach to that mortgage payment.<br />

Personality. No two people have the same personality, regardless <strong>of</strong> their <strong>in</strong>come.<br />

Some people can sleep soundly at night know<strong>in</strong>g that they owe $5,000 per month for<br />

the next 30 years, while others fret over a payment half that size. <strong>The</strong> prospect <strong>of</strong><br />

ref<strong>in</strong>anc<strong>in</strong>g the house <strong>in</strong> order to afford payments on a new car would drive some<br />

people crazy while not worry<strong>in</strong>g others at all. If you keep your personality <strong>in</strong> m<strong>in</strong>d when<br />

shopp<strong>in</strong>g for a new house, you are likely to be pleased with your purchase.<br />

Beyond the Mortgage<br />

Buy<strong>in</strong>g a new home is an excit<strong>in</strong>g adventure. But many prospective homeowners,<br />

caught up <strong>in</strong> the thrill <strong>of</strong> search<strong>in</strong>g for their dream house, forget to pause and consider<br />

Page 243 <strong>of</strong> 289


the f<strong>in</strong>ancial responsibilities <strong>of</strong> homeownership. While the mortgage is certa<strong>in</strong>ly the<br />

largest and most visible cost associated with a home, there are a host <strong>of</strong> additional<br />

expenses, some <strong>of</strong> which don't go away even after the mortgage is paid <strong>of</strong>f. Smart<br />

shoppers would do well to keep the follow<strong>in</strong>g items <strong>in</strong> m<strong>in</strong>d:<br />

Ma<strong>in</strong>tenance. Even if you build a new home, it won't stay new forever, nor will those<br />

expensive major appliances, such as stoves, dishwashers and refrigerators. <strong>The</strong> same<br />

applies to the ro<strong>of</strong>, furnace, driveway, carpet and even the pa<strong>in</strong>t on the walls. If you are<br />

'house poor' when you take on that first mortgage payment, you could f<strong>in</strong>d yourself <strong>in</strong> a<br />

difficult situation if your f<strong>in</strong>ances haven't improved by the time your home is <strong>in</strong> need <strong>of</strong><br />

major repairs.<br />

Utilities. Heat, light, water, sewage, trash removal, cable television and telephone<br />

services all cost money. <strong>The</strong>se expenses are not <strong>in</strong>cluded <strong>in</strong> the front-end ratio, nor are<br />

they calculated <strong>in</strong> the back-end ratio. But these expenses are unavoidable for most<br />

homeowners.<br />

Association Fees. Many homes <strong>in</strong> planned communities assess monthly or yearly<br />

association fees. Sometimes these fees are less than $100 per year, other times they<br />

are several hundred dollars per month. Ask about association fees prior to mak<strong>in</strong>g a<br />

purchase. F<strong>in</strong>d out about what the fee covers. In some communities, it <strong>in</strong>cludes lawn<br />

ma<strong>in</strong>tenance, snow removal, a community pool and other services. In other<br />

communities, the association fee covers little more than the adm<strong>in</strong>istrative costs <strong>of</strong><br />

Page 244 <strong>of</strong> 289


hir<strong>in</strong>g an attorney to encourage everyone <strong>in</strong> the neighborhood to ma<strong>in</strong>ta<strong>in</strong> the exterior<br />

appearance <strong>of</strong> their homes. While an <strong>in</strong>creas<strong>in</strong>g number <strong>of</strong> lenders <strong>in</strong>clude association<br />

fees <strong>in</strong> the front-end ratio, it pays to remember that these fees are likely to <strong>in</strong>crease over<br />

time.<br />

Furniture and Décor. Drive through almost any community <strong>of</strong> new homes after the sun<br />

goes down, and you're likely to notice some <strong>in</strong>terior lights illum<strong>in</strong>at<strong>in</strong>g big, empty rooms,<br />

which you can see only because those big, beautiful houses don't have any w<strong>in</strong>dow<br />

cover<strong>in</strong>gs. This isn't the latest decorat<strong>in</strong>g trend. It's the result <strong>of</strong> a family that spent all<br />

their money on the house, and now can't afford curta<strong>in</strong>s or furniture. Before you buy a<br />

new house, take a good look around the number <strong>of</strong> rooms that will need to be furnished<br />

and the number <strong>of</strong> w<strong>in</strong>dows that will need to be covered.<br />

Th<strong>in</strong>k Before You Buy<br />

<strong>The</strong> cost <strong>of</strong> a home is the s<strong>in</strong>gle largest personal expense most people will ever face.<br />

Prior to tak<strong>in</strong>g on such an enormous debt, take the time to do the math. After you run<br />

the numbers, consider your personal situation, and th<strong>in</strong>k about your present and future<br />

lifestyle <strong>in</strong>to the next three decades. Make an <strong>in</strong>formed decision, and be sure to<br />

purchase a home that you can afford without compromis<strong>in</strong>g your future.<br />

______<br />

What Percentage <strong>of</strong> Income Should Be Spent on a Mortgage?<br />

by M<strong>in</strong>dy Sitton-Halleck<br />

A general rule <strong>in</strong> qualify<strong>in</strong>g for a home mortgage is that your debt-to-<strong>in</strong>come ratio be no<br />

higher than 28/36 percent on conventional loans and 31/43 percent on Federal Hous<strong>in</strong>g<br />

Authority (FHA) loans. Ratios above this may mean that you will be denied credit or<br />

subjected to a higher mortgage <strong>in</strong>terest rate.<br />

Percentage <strong>of</strong> Income<br />

<strong>The</strong>se typical qualify<strong>in</strong>g ratios are <strong>in</strong>fluenced by factors such as type <strong>of</strong> mortgage<br />

product (30-year fixed, adjustable, etc.), borrower’s credit, downpayment and <strong>of</strong>ten the<br />

collateral. This means no more than 28 percent (front-end ratio) <strong>of</strong> a borrower’s gross<br />

monthly <strong>in</strong>come should be used to pay the PITI payment (pr<strong>in</strong>cipal, <strong>in</strong>terest, property<br />

taxes and <strong>in</strong>surance). Your total debt-to-<strong>in</strong>come ratio (back-end ratio) is your hous<strong>in</strong>g<br />

payment--mortgage, property taxes, homeowners <strong>in</strong>surance--and your exist<strong>in</strong>g debts.<br />

Types <strong>of</strong> Debt<br />

Additional debt items that appear on your credit report <strong>in</strong>clude car and student loans,<br />

monthly credit card payments and child support. Doctor and phone bills, and so forth<br />

Page 245 <strong>of</strong> 289


are not <strong>in</strong>cluded. Ideally, no more than 36 percent (conventional) or 43 percent (FHA) <strong>of</strong><br />

your monthly <strong>in</strong>come is to be used to pay these total comb<strong>in</strong>ed PITI and monthly debts.<br />

Calculat<strong>in</strong>g Ratios<br />

For example, if you earn $6,000 monthly, and you have a car payment <strong>of</strong> $497 and<br />

credit card charges <strong>of</strong> $198 a month, the highest total hous<strong>in</strong>g payment you would<br />

qualify for, given a 20 percent downpayment (conventional loan) would be<br />

approximately $2,100. On FHA, the upper limit (us<strong>in</strong>g a 3.5 percent downpayment)<br />

would be roughly $2,590.<br />

Expert Insight<br />

Normally, FHA will require your mortgage payment (PITI) to not exceed 31 percent <strong>of</strong><br />

your gross monthly <strong>in</strong>come. Additionally, your total monthly debt obligations (mortgage,<br />

credit cards, car and student loans, child support, etc.) should not surpass 43 percent <strong>of</strong><br />

your monthly earn<strong>in</strong>gs. <strong>The</strong>se ratios are more generous than what can be found with<br />

conventional loans. Higher ratios are obta<strong>in</strong>able if you’re acquir<strong>in</strong>g an energy-efficient<br />

home. What is called the "stretch" ratio is a liberal 33/45 percent.<br />

Considerations<br />

When consider<strong>in</strong>g purchas<strong>in</strong>g a home with less than 20 percent downpayment, you will<br />

most likely be required to purchase mortgage <strong>in</strong>surance that will add to your PITI. On an<br />

FHA loan, the <strong>in</strong>surance is called Mortgage Insurance Premium (MIP). On less than 20<br />

percent down on conventional loans it is called Private Mortgage Insurance (PMI). VA<br />

loans have an additional Fund<strong>in</strong>g Fee. All <strong>of</strong> these add to your cost and detract from the<br />

amount <strong>of</strong> mortgage for which you qualify.<br />

Prevention/Solution<br />

To learn what your <strong>in</strong>come to debt ratios may be, contact a mortgage pr<strong>of</strong>essional and<br />

ask to be preapproved. Prequalified is not the same as preapproved--which means your<br />

file has gone through some underwrit<strong>in</strong>g and you’ll know exactly what amount <strong>of</strong> your<br />

<strong>in</strong>come should be used for a mortgage. Consider also that you can contact the<br />

Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development (HUD) to f<strong>in</strong>d a hous<strong>in</strong>g counselor who<br />

can guide you, at no cost, as you go through the mortgage process.<br />

Benefits<br />

For first-time home buyers, CalHFA (California's Consumer Home Mortgage<br />

Organization) <strong>of</strong>fers lower than market <strong>in</strong>terest rate programs and downpayment<br />

assistance programs to qualify<strong>in</strong>g home buyers.<br />

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Calculat<strong>in</strong>g the Percentage <strong>of</strong> Each Partner’s<br />

Contribution to the Mortgage<br />

by John C Johnson III<br />

Now, hav<strong>in</strong>g said all that, the question becomes how much <strong>of</strong> each partners’ <strong>in</strong>come<br />

should go toward the twenty-five to thirty-six percent (25% - 36%) mortgage.<br />

<strong>The</strong> simplest way to calculate this would be to determ<strong>in</strong>e what percentage <strong>of</strong> each<br />

partner’s <strong>in</strong>come makes up the total household <strong>in</strong>come. For example, when I was <strong>in</strong><br />

pr<strong>of</strong>essional school,<br />

I was blessed to br<strong>in</strong>g-<strong>in</strong> around 75% <strong>of</strong> our household earn<strong>in</strong>gs. <strong>The</strong>refore, we<br />

reasoned, that I should bear around 75% <strong>of</strong> the household debts, <strong>in</strong>clud<strong>in</strong>g rent. Us<strong>in</strong>g<br />

this formula, we were able to live quite comfortably and, for the most part anyway, I was<br />

able to pay cash for my pr<strong>of</strong>essional education, leav<strong>in</strong>g absolutely no student loan debt<br />

at the end <strong>of</strong> my school<strong>in</strong>g.<br />

And I was able, therefore, to pursue my pr<strong>of</strong>essional passions without the anxieties <strong>of</strong><br />

hav<strong>in</strong>g to consider the f<strong>in</strong>ancial dra<strong>in</strong> most people <strong>in</strong> my position had, after graduation.<br />

Talk about a major bless<strong>in</strong>g!!!<br />

5. F<strong>in</strong>ally, Flexibility Dictates that Job Adjustments Will<br />

Trigger Re-Alignment <strong>of</strong> the Formula and Either Increase<br />

or Decrease the Mortgage Term and the Monthly<br />

Payments<br />

Traditional Mortgage Modification and Debt Restructur<strong>in</strong>g<br />

Mortgage modification is a process where the terms <strong>of</strong> a mortgage are modified<br />

outside the orig<strong>in</strong>al terms <strong>of</strong> the contract agreed to by the lender and borrower (i.e.<br />

mortgagee and mortgagor). In general, any loan can be modified, and the general<br />

process is referred to as loan modification or debt reschedul<strong>in</strong>g.<br />

In the normal progression <strong>of</strong> a mortgage, payments <strong>of</strong> <strong>in</strong>terest and pr<strong>in</strong>cipal are made<br />

until the mortgage is paid <strong>in</strong> full (or paid <strong>of</strong>f). Typically, until the mortgage is paid, the<br />

lender holds a lien on the property and if the borrower sells the property before the<br />

mortgage is paid-<strong>of</strong>f, the unpaid balance <strong>of</strong> the mortgage is remitted to the lender to<br />

release the lien. Generally speak<strong>in</strong>g, any change to the mortgage terms is a<br />

modification, but as the term is used it refers to a change <strong>in</strong> terms based upon either the<br />

specific <strong>in</strong>ability <strong>of</strong> the borrower to rema<strong>in</strong> current on payments as stated <strong>in</strong> the<br />

mortgage, or more generally government mandate to lenders. A loan modification will<br />

Page 247 <strong>of</strong> 289


typically result <strong>in</strong> the change to the loan's monthly payment, <strong>in</strong>terest rate, term or<br />

outstand<strong>in</strong>g pr<strong>in</strong>cipal.<br />

Types <strong>of</strong> modification<br />

Mortgages are modified to the benefit <strong>of</strong> the borrower <strong>in</strong> one or more <strong>of</strong> the follow<strong>in</strong>g<br />

ways:<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

Reduction <strong>in</strong> <strong>in</strong>terest rate, or a change from a float<strong>in</strong>g to a fixed rate, or <strong>in</strong> how<br />

the float<strong>in</strong>g rate is computed<br />

Reduction <strong>in</strong> pr<strong>in</strong>cipal<br />

Reduction <strong>in</strong> the monthly payment<br />

Reduction <strong>in</strong> late fees or other penalties<br />

Lengthen<strong>in</strong>g <strong>of</strong> the loan term<br />

Capp<strong>in</strong>g the monthly payment to a percentage <strong>of</strong> household <strong>in</strong>come<br />

Mortgage forbearance program<br />

<strong>The</strong> borrower can be current, late, <strong>in</strong> default, <strong>in</strong> bankruptcy, or <strong>in</strong> foreclosure at the time<br />

the application for modification is made. <strong>The</strong> programs available will vary accord<strong>in</strong>gly.<br />

<strong>The</strong>re may be modifications made at the discretion <strong>of</strong> the lender. <strong>The</strong> lender is<br />

motivated to <strong>of</strong>fer better terms to the borrower because <strong>of</strong> the expectation that the<br />

borrower might be able to afford a lower payment, and that a perform<strong>in</strong>g loan (i.e. one <strong>in</strong><br />

which payments are current) will be more valuable ultimately than the proceeds<br />

obta<strong>in</strong>ed from a foreclosure sale.<br />

<strong>The</strong> state and federal government may structure a mortgage modification program as<br />

voluntary on the part <strong>of</strong> the lender, but may provide <strong>in</strong>centives for the lender to<br />

participate. A mandatory mortgage modification program requires the lender to modify<br />

mortgages meet<strong>in</strong>g the criteria with respect to the borrower, the property, and the loan<br />

payment history.<br />

Federal Home Affordable Modification Program (HAMP)<br />

Program Formed<br />

February 18, 2009<br />

Program purpose<br />

Home Affordable Modification Program, also known as HAMP, is set out to help up<br />

from 7 to 8 million struggl<strong>in</strong>g homeowners at risk <strong>of</strong> foreclosure by work<strong>in</strong>g with their<br />

lenders to lower monthly mortgage payments. <strong>The</strong> Program is part <strong>of</strong> the Mak<strong>in</strong>g Home<br />

Affordable Program which was created by the F<strong>in</strong>ancial Stability Act <strong>of</strong> 2009. <strong>The</strong><br />

program was built as collaboration with banks, services, credit unions, the FHA, the VA,<br />

Page 248 <strong>of</strong> 289


the <strong>US</strong>DA and the Federal Hous<strong>in</strong>g F<strong>in</strong>ance Agency, to create standard loan<br />

modification guidel<strong>in</strong>es for lenders to take <strong>in</strong>to consideration when evaluat<strong>in</strong>g a<br />

borrower for a potential loan modification. Over 110 major lenders have already signed<br />

onto the program. <strong>The</strong> Program is now looked upon as the <strong>in</strong>dustry standard practice<br />

for lenders to analyze potential modification applicants.<br />

Eligibility Requirements<br />

<strong>The</strong> program abides by the follow<strong>in</strong>g eligibility and verification criteria:<br />

Loans orig<strong>in</strong>ated on or before January 1, 2009<br />

First-lien loans on owner-occupied properties with unpaid pr<strong>in</strong>cipal balance up to<br />

$729,750<br />

<br />

<br />

<br />

Higher limits allowed for owner-occupied properties with 2-4 units<br />

All borrowers must fully document <strong>in</strong>come, <strong>in</strong>clud<strong>in</strong>g signed IRS 4506-T, pro<strong>of</strong> <strong>of</strong><br />

<strong>in</strong>come (i.e. paystubs or tax returns), and must sign an affidavit <strong>of</strong> f<strong>in</strong>ancial<br />

hardship<br />

Property owner occupancy status will be verified through borrower credit report<br />

and other documentation; no <strong>in</strong>vestor-owned, vacant, or condemned properties<br />

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Incentives to lenders and servicers to modify at risk borrowers who have not yet<br />

missed payments when the servicer determ<strong>in</strong>es that the borrower is at imm<strong>in</strong>ent<br />

risk <strong>of</strong> default<br />

Modifications can start from now until December 31, 2012; loans can be modified<br />

only once under the program<br />

Terms and Procedures<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

Participat<strong>in</strong>g servicers are required to service all eligible loans under the rules <strong>of</strong><br />

the program unless explicitly prohibited by contract; servicers are required to use<br />

reasonable efforts to obta<strong>in</strong> waivers <strong>of</strong> limits on participation.<br />

Participat<strong>in</strong>g loan servicers will be required to use a net present value (NPV) test<br />

on each loan that is at risk <strong>of</strong> imm<strong>in</strong>ent default or at least 60 days del<strong>in</strong>quent. <strong>The</strong><br />

NPV test will compare the net present value <strong>of</strong> cash flows with modification and<br />

without modification. If the test is positive: mean<strong>in</strong>g that the net present value <strong>of</strong><br />

expected cash flow is greater <strong>in</strong> the modification scenario: the servicer must<br />

modify absent fraud or a contract prohibition.<br />

Parameters <strong>of</strong> the NPV test are spelled out <strong>in</strong> the guidel<strong>in</strong>es, <strong>in</strong>clud<strong>in</strong>g<br />

acceptable discount rates, property valuation methodologies, home price<br />

appreciation assumptions, foreclosure costs and timel<strong>in</strong>es, and borrower cure<br />

and redefault rate assumptions.<br />

Servicers will follow a specified sequence <strong>of</strong> steps <strong>in</strong> order to reduce the monthly<br />

payment to no more than 31% <strong>of</strong> gross monthly <strong>in</strong>come (DTI).<br />

<strong>The</strong> modification sequence requires first reduc<strong>in</strong>g the <strong>in</strong>terest rate (subject to a<br />

rate floor <strong>of</strong> 2%), then if necessary extend<strong>in</strong>g the term or amortization <strong>of</strong> the loan<br />

up to a maximum <strong>of</strong> 40 years, and then if necessary forbear<strong>in</strong>g pr<strong>in</strong>cipal.<br />

Pr<strong>in</strong>cipal forgiveness or a Hope for Homeowners ref<strong>in</strong>anc<strong>in</strong>g are acceptable<br />

alternatives.<br />

<strong>The</strong> monthly payment <strong>in</strong>cludes pr<strong>in</strong>cipal, <strong>in</strong>terest, taxes, <strong>in</strong>surance, flood<br />

<strong>in</strong>surance, homeowner’s association and/or condom<strong>in</strong>ium fees. Monthly <strong>in</strong>come<br />

<strong>in</strong>cludes wages, salary, overtime, fees, commissions, tips, social security,<br />

pensions, and all other <strong>in</strong>come.<br />

Servicers must enter <strong>in</strong>to the program agreements with Treasury's f<strong>in</strong>ancial agent<br />

on or before December 31, 2009.<br />

Payments<br />

<br />

<br />

<br />

<strong>The</strong> program will share with the lender/<strong>in</strong>vestor the cost <strong>of</strong> reductions <strong>in</strong> monthly<br />

payments from 38% DTI to 31% DTI.<br />

Servicers that modify loans accord<strong>in</strong>g to the guidel<strong>in</strong>es will receive an up-front<br />

fee <strong>of</strong> $1,000 for each modification, plus “pay for success” fees on stillperform<strong>in</strong>g<br />

loans <strong>of</strong> $1,000 per year.<br />

Homeowners who make their payments on time are eligible for up to $1,000 <strong>of</strong><br />

pr<strong>in</strong>cipal reduction payments each year for up to five years.<br />

Page 250 <strong>of</strong> 289


<strong>The</strong> program will provide one-time bonus <strong>in</strong>centive payments <strong>of</strong> $1,500 to<br />

lender/<strong>in</strong>vestors and $500 to servicers for modifications made while a borrower is<br />

still current on mortgage payments.<br />

<strong>The</strong> program will <strong>in</strong>clude <strong>in</strong>centives for ext<strong>in</strong>guish<strong>in</strong>g second liens on loans<br />

modified under this program.<br />

No payments will be made under the program to the lender/<strong>in</strong>vestor, servicer, or<br />

borrower unless and until the servicer has first entered <strong>in</strong>to the program<br />

agreements with Treasury’s f<strong>in</strong>ancial agent.<br />

Similar <strong>in</strong>centives will be paid for Hope for Homeowner ref<strong>in</strong>ances.<br />

Warn<strong>in</strong>gs<br />

<strong>of</strong> the program.<br />

<br />

<br />

<br />

Transparency and Accountability<br />

Measures to prevent and detect fraud, such as<br />

documentation and audit requirements, will be<br />

central to the program.<br />

Servicers will be required to collect, ma<strong>in</strong>ta<strong>in</strong> and<br />

transmit records for verification and compliance<br />

review, <strong>in</strong>clud<strong>in</strong>g borrower eligibility,<br />

underwrit<strong>in</strong>g, <strong>in</strong>centive payments, property<br />

verification, and other documentation.<br />

Freddie Mac is appo<strong>in</strong>ted the compliance <strong>of</strong>ficer<br />

Foreclosure rescue and mortgage modification scams are a grow<strong>in</strong>g problem.<br />

Homeowners must protect themselves so they do not lose money or their home.<br />

Scammers make promises that they cannot keep, such as guarantees to “save” your<br />

home or lower your mortgage, <strong>of</strong>ten for a fee. Scammers may pretend that they have<br />

direct contact with your mortgage servicer when they do not.<br />

Scams<br />

After the beg<strong>in</strong>n<strong>in</strong>g <strong>of</strong> the subprime mortgage crisis, unscrupulous mortgage<br />

pr<strong>of</strong>essionals began sett<strong>in</strong>g up "Foreclosure rescue" companies promis<strong>in</strong>g for a large<br />

fee to persuade lenders to modify desperate homeowners' mortgages. Nonpr<strong>of</strong>it<br />

hous<strong>in</strong>g counselors approved by the Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development<br />

will help borrowers for free; additionally, many states are enact<strong>in</strong>g legislation which<br />

forces loan modification companies to become licensed and bonded to legally rema<strong>in</strong> <strong>in</strong><br />

bus<strong>in</strong>ess, elim<strong>in</strong>at<strong>in</strong>g many fraudulent operations that charge fees.<br />

Resources<br />

<strong>The</strong>re are free resources available for potential applicants.<br />

Page 251 <strong>of</strong> 289


<strong>The</strong> Federal government provides free resources to get you the help you need.<br />

Homeowners can call the Homeowner’s HOPE Hotl<strong>in</strong>e at 1-888-995-HOPE<br />

(4673) for <strong>in</strong>formation about the Mak<strong>in</strong>g Home Affordable Program and to speak<br />

with a HUD approved hous<strong>in</strong>g counselor. Assistance is available <strong>in</strong> English and<br />

Spanish, and other languages by appo<strong>in</strong>tment.<br />

HUD.org is another free website where you may go to f<strong>in</strong>d a local counselor <strong>in</strong><br />

your region. HUD.gov<br />

Mak<strong>in</strong>gHomeAffordable.gov also has many resources for you to check onl<strong>in</strong>e. It<br />

allows you to compute estimated payments as well as has other resources.<br />

Mak<strong>in</strong>g Home Affordable<br />

Fannie Mae has a tool available where you can check to see if your loan is<br />

owned by Fannie Mae and thus potentially eligible for the program Fannie Mae<br />

Loan Look Up<br />

Freddie Mac has a tool available where you can check to see if your loan is<br />

owned by Freddie Mac and thus potentially eligible for the program Freddie Mac<br />

Loan Look Up<br />

Hardest Hit Funds<br />

<strong>The</strong> hous<strong>in</strong>g crisis that began <strong>in</strong> 2007 led to unprecedented home price decl<strong>in</strong>es and<br />

susta<strong>in</strong>ed and higher unemployment <strong>in</strong> certa<strong>in</strong> parts <strong>of</strong> the country. Families <strong>in</strong> these<br />

areas have been particularly hard hit by this crisis as they have struggled to make their<br />

monthly mortgage payments and grappled with deeply underwater mortgages.<br />

First announced <strong>in</strong> February 2010, the Hardest Hit Fund provides $7.6 billion to the 18<br />

hardest hit states, plus the District <strong>of</strong> Columbia, to develop locally-tailored programs to<br />

assist struggl<strong>in</strong>g homeowners <strong>in</strong> their communities.<br />

HHF programs are designed and adm<strong>in</strong>istered by each state’s Hous<strong>in</strong>g F<strong>in</strong>ance Agency<br />

(HFA). Most <strong>of</strong> these programs are aimed at help<strong>in</strong>g unemployed homeowners rema<strong>in</strong><br />

<strong>in</strong> their homes while they search for new employment and those who owe more on their<br />

mortgage than their home is worth. State HFAs have until the end <strong>of</strong> 2017 to utilize<br />

funds allocated under HHF.<br />

Loan Modifications<br />

Those struggl<strong>in</strong>g with mortgage payments are able to request modifications from the<br />

mortgage providers. While requirements will vary depend<strong>in</strong>g on who the mortgage<br />

providers are, some criteria are common. Applicants request<strong>in</strong>g modifications must be:<br />

<br />

<br />

<br />

<br />

experienc<strong>in</strong>g a documented f<strong>in</strong>ancial hardship. This can <strong>in</strong>clude be<strong>in</strong>g laid <strong>of</strong>f.<br />

miss<strong>in</strong>g several payments already.<br />

the owner <strong>of</strong> the residence, and the mortgage must be for a primary residence.<br />

still f<strong>in</strong>ancial secure, so as not to have filed for bankruptcy yet.<br />

Page 252 <strong>of</strong> 289


Our Program, however, is different.<br />

Put simply, life-adjustments will necessarily trigger re-alignment <strong>of</strong> the new mortgage<br />

<strong>in</strong>itiative. Let’s say, for example, that Partner B experiences a job-adjustment (such as<br />

a lay<strong>of</strong>f or pay reduction).<br />

In such an event, Partner B would not be able to contribute as much to the Home<br />

Mortgage as s/he did prior to the adjustment. Partner B’s contribution should rema<strong>in</strong> the<br />

same percentage-wise however, <strong>in</strong> order for her/him to rema<strong>in</strong> comfortable <strong>in</strong> the level<br />

<strong>of</strong> contribution.<br />

Partner A, on the other hand, should not be required to change her/his level <strong>of</strong><br />

contribution, percentage-wise, so, therefore, the only factor that can be adjusted is the<br />

overall amount <strong>of</strong> the Home Mortgage payment, which can be adjusted by extend<strong>in</strong>g the<br />

Mortgage Term to meet the new split-percentage <strong>of</strong> overall <strong>in</strong>come threshold.<br />

1. <strong>The</strong> Interest Rate for This New Home-Mortgage Initiative<br />

Is Limited to Fluctuations <strong>in</strong> <strong>The</strong> GDP<br />

<strong>The</strong> only <strong>in</strong>terest factored <strong>in</strong>to this new Home-Mortgage Initiative is limited to Market<br />

conditions, <strong>in</strong> order to keep-pace with the base monetary valuation. In the United<br />

States, for example, a dollar value <strong>in</strong>crease will trigger a Home-Mortgage Rate<br />

decrease, and vice-versa.<br />

A dollar value<br />

decrease will<br />

trigger a Home-<br />

Mortgage Rate<br />

<strong>in</strong>crease. Each<br />

decrease or<br />

<strong>in</strong>crease shall be<br />

commensurate<br />

with<br />

the<br />

percentage<br />

decrease or<br />

<strong>in</strong>crease<br />

experienced by<br />

the market rate.<br />

Everyone w<strong>in</strong>s <strong>in</strong><br />

this scenario.<br />

<strong>The</strong> homeowners reta<strong>in</strong> their home, as well as the ability to provide for their families at<br />

rates and payments they can truly afford, regardless <strong>of</strong> changes <strong>in</strong> their circumstances.<br />

Page 253 <strong>of</strong> 289


<strong>The</strong> Mortgagor cont<strong>in</strong>ues to receive regular payment, adjusted for cont<strong>in</strong>gencies and<br />

market fluctuations through to the full-term <strong>of</strong> the mortgage.<br />

Page 254 <strong>of</strong> 289


XI. References<br />

1. https://www.huff<strong>in</strong>gtonpost.com/bill-quigley/ten-facts-about-homelessn_b_5977946.html<br />

2. https://projecthome.org/about/facts-homelessness<br />

3. https://list25.com/25-hard-to-swallow-facts-about-homelessness/<br />

4. http://www.nationalhomeless.org/factsheets/employment.html<br />

5. https://www.huff<strong>in</strong>gtonpost.com.au/2017/04/04/homeless-youth-unemployment-is-n<strong>in</strong>etimes-the-national-average_a_22026299/<br />

6. https://www.apnews.com/d480434bbacd4b028ff13cd1e7cea155<br />

7. https://en.wikipedia.org/wiki/Work<strong>in</strong>g_poor<br />

8. https://politics<strong>of</strong>poverty.oxfamamerica.org/2016/09/5-myths-about-the-work<strong>in</strong>g-poor-<strong>in</strong>america/<br />

9. https://www.huff<strong>in</strong>gtonpost.com/2014/05/19/work<strong>in</strong>g-poor-stories_n_5297694.html<br />

10. https://www.bls.gov/opub/reports/work<strong>in</strong>g-poor/2015/home.htm<br />

11. http://homelesshub.ca/about-homelessness/topics/mental-health<br />

12. http://www.latimes.com/local/la-me-mentally-ill-homeless-20170807-htmlstory.html<br />

13. https://www.healthyplace.com/other-<strong>in</strong>fo/mental-illness-overview/mental-illness-andhomelessness<br />

14. https://www.hcs.harvard.edu/~hcht/blog/homelessness-and-mental-health-facts<br />

15. http://www.newsweek.com/affordable-hous<strong>in</strong>g-crisis-forces-us-homeless-numbers-firsttime-great-739333<br />

16. https://www.usich.gov/solutions/hous<strong>in</strong>g/affordable-hous<strong>in</strong>g<br />

17. http://www.bus<strong>in</strong>ess<strong>in</strong>sider.com/affordable-hous<strong>in</strong>g-crisis-homelessness-us-2018-3<br />

18. https://www.apha.org/policies-and-advocacy/public-health-policy-statements/policydatabase/2018/01/18/hous<strong>in</strong>g-and-homelessness-as-a-public-health-issue<br />

19. https://www.huduser.gov/portal/pdredge/pdr_edge_research_022414.html<br />

20. http://www.needhelppay<strong>in</strong>gbills.com/html/pennsylvania_homeless_assistan.html<br />

21. http://nationalhomeless.org/references/directory/region/AZ/<br />

Page 255 <strong>of</strong> 289


22. https://www.voa.org/homeless-people<br />

23. https://en.wikipedia.org/wiki/Homeless_shelter<br />

24. https://en.wikipedia.org/wiki/Hous<strong>in</strong>g_First<br />

25. http://nationalhomeless.org/issues/civil-rights/<br />

26. https://www.nlchp.org/crim<strong>in</strong>alization<br />

27. http://nlihc.org/article/crim<strong>in</strong>alization-homelessness-<strong>in</strong>creases-us-cities<br />

28. https://theappeal.org/the-crim<strong>in</strong>alization-<strong>of</strong>-homelessness-an-expla<strong>in</strong>er-aa074d25688d/<br />

29. https://endhomelessness.org/homelessness-<strong>in</strong>-america/what-causeshomelessness/hous<strong>in</strong>g/<br />

30. https://en.wikipedia.org/wiki/Hous<strong>in</strong>g_First<br />

31. http://home.uchicago.edu/kczerniak/<strong>Economic</strong>s%20<strong>of</strong>%20<strong>Homelessness</strong>.pdf<br />

32. http://www.oppaga.state.fl.us/reports/pdf/0501rpt.pdf<br />

33. https://www.strategiestoendhomelessness.org/wpcontent/themes/steh<strong>The</strong>me/docs/Data%20Page/<strong>Economic</strong>s%20<strong>of</strong>%20<strong>Homelessness</strong>%202016.<br />

pdf<br />

Page 256 <strong>of</strong> 289


Notes<br />

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Notes<br />

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Page 259 <strong>of</strong> 289


Attachment A<br />

Homeless Assessment Report to<br />

Congress 2017<br />

Page 260 <strong>of</strong> 289


<strong>The</strong> U.S. Department <strong>of</strong><br />

Hous<strong>in</strong>g and Urban Development<br />

OFFICE OF COMMUNITY PLANNING AND DEVELOPMENT<br />

PART 1:<br />

Po<strong>in</strong>t-<strong>in</strong>-Time Estimates <strong>of</strong> <strong>Homelessness</strong><br />

<strong>The</strong> 2017 Annual Homeless<br />

Assessment Report (AHAR)<br />

to Congress<br />

DECEMBER 2017


DRAFT<br />

Acknowledgements<br />

AUTHORS:<br />

Meghan Henry, Rian Watt, Lily Rosenthal, and Azim Shivji, Abt Associates<br />

PRINCIPAL INVESTIGATORS:<br />

Dr. Jill Khadduri, Abt Associates, and Dr. Dennis Culhane, National Center on <strong>Homelessness</strong> among Veterans,<br />

University <strong>of</strong> Pennsylvania<br />

DATA COLLECTION MANAGERS:<br />

Azim Shivji and Rian Watt, Abt Associates<br />

DATA COLLECTORS AND REVIEWERS:<br />

Korr<strong>in</strong> Bishop, Molly Brune, Tanya de Sousa, Marissa Hashizume, Tyler Morrill, Arturo Nava,<br />

Jillian Ouellette, Lily Rosenthal, Azim Shivji, Aubrey Sitler, Djaniele Taylor, and Rian Watt, Abt Associates, and<br />

Dan Treglia and Kalen Flynn, University <strong>of</strong> Pennsylvania<br />

PROGRAMMERS/ANALYSTS:<br />

Azim Shivji and Tyler Morrill, Abt Associates, and Jon-Paul Oliva, GIS and Data Quality Consultant<br />

REVIEWERS:<br />

Dr. Larry Buron, Abt Associates<br />

Dr. Alvaro Cortes, Abt Associates<br />

Karen DeBlasio and William Snow, U.S. Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development<br />

DESIGN AND PRODUCTION:<br />

Malcolm Jones, Abt Associates


Contents<br />

Key F<strong>in</strong>d<strong>in</strong>gs.................................... 1<br />

Def<strong>in</strong>ition <strong>of</strong> Terms .............................. 2<br />

Progress on the Prevent<strong>in</strong>g and<br />

End<strong>in</strong>g <strong>Homelessness</strong>............................ 4<br />

About this Report............................... 6<br />

SECTION 1<br />

<strong>Homelessness</strong> <strong>in</strong> the United States................. 7<br />

National Estimates ......................................... 8<br />

State Estimates ........................................... 12<br />

Estimates by CoC ......................................... 16<br />

SECTION 2<br />

Homeless Individuals............................ 20<br />

National Estimates ........................................20<br />

State Estimates ........................................... 24<br />

Estimates by CoC ......................................... 28<br />

SECTION 3<br />

Homeless Families with Children.................. 32<br />

National Estimates ........................................32<br />

State Estimates ...........................................36<br />

Estimates by CoC .........................................40<br />

SECTION 4<br />

Unaccompanied Homeless Youth ................. 44<br />

National Estimates ........................................44<br />

State Estimates ...........................................46<br />

Estimates by CoC .........................................48<br />

SECTION 5<br />

Homeless Veterans............................. 52<br />

National Estimates ........................................ 52<br />

State Estimates ...........................................54<br />

Estimates by CoC .........................................58<br />

SECTION 6<br />

Chronically Homeless Individuals.................. 62<br />

National Estimates ........................................62<br />

State Estimates ...........................................64<br />

Estimates by CoC .........................................68<br />

SECTION 7<br />

National Inventory <strong>of</strong> Beds....................... 72<br />

Appendix..................................... 78


Key F<strong>in</strong>d<strong>in</strong>gs<br />

On a s<strong>in</strong>gle night <strong>in</strong> 2017, 553,742 people were<br />

experienc<strong>in</strong>g homelessness <strong>in</strong> the United States.<br />

For every 10,000 people <strong>in</strong> the country, 17 were<br />

experienc<strong>in</strong>g homelessness. Approximately twothirds<br />

(65%) were stay<strong>in</strong>g <strong>in</strong> emergency shelters<br />

or transitional hous<strong>in</strong>g programs, and about onethird<br />

(35%) were <strong>in</strong> unsheltered locations.<br />

<strong>Homelessness</strong> <strong>in</strong>creased for the first time <strong>in</strong><br />

seven years. <strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong>creased by a little less than one<br />

percent between 2016 and 2017. This <strong>in</strong>crease<br />

reflected a n<strong>in</strong>e percent <strong>in</strong>crease <strong>in</strong> the number <strong>of</strong><br />

people experienc<strong>in</strong>g homelessness <strong>in</strong> unsheltered<br />

locations, which was partially <strong>of</strong>fset by a<br />

three percent decl<strong>in</strong>e <strong>in</strong> the number <strong>of</strong> people<br />

experienc<strong>in</strong>g homelessness <strong>in</strong> sheltered locations.<br />

Recent <strong>in</strong>creases <strong>in</strong> homelessness were driven<br />

mostly by specific changes happen<strong>in</strong>g with<strong>in</strong><br />

cities. Increases <strong>in</strong> the numbers <strong>of</strong> unsheltered<br />

<strong>in</strong>dividuals <strong>in</strong> the 50 largest cities accounted for<br />

nearly all <strong>of</strong> the national <strong>in</strong>crease.<br />

<strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> families with children decl<strong>in</strong>ed<br />

by five percent between 2016 and 2017—<br />

10,055 fewer people and 3,294 fewer family<br />

households. As <strong>of</strong> 2017, 184,661 people <strong>in</strong> families<br />

with children were experienc<strong>in</strong>g homelessness,<br />

33 percent <strong>of</strong> the homeless population.<br />

In 2017, 40,799 people were experienc<strong>in</strong>g<br />

homelessness as unaccompanied youth—that<br />

is, people under the age <strong>of</strong> 25 experienc<strong>in</strong>g<br />

homelessness on their own. Most unaccompanied<br />

youth (88%) were between the ages <strong>of</strong> 18 and<br />

24. Unaccompanied youth were more likely<br />

to be unsheltered (55%) than both all people<br />

experienc<strong>in</strong>g homelessness (35%) and all people<br />

experienc<strong>in</strong>g homelessness as <strong>in</strong>dividuals (48%).<br />

Between 2016 and 2017, the number <strong>of</strong> veterans<br />

experienc<strong>in</strong>g homelessness <strong>in</strong>creased for the<br />

first time s<strong>in</strong>ce 2010. Nonetheless, homelessness<br />

among veterans dropped 45 percent s<strong>in</strong>ce 2009.<br />

<strong>The</strong> two percent <strong>in</strong>crease dur<strong>in</strong>g the past year<br />

was almost entirely accounted for by <strong>in</strong>creases<br />

among unsheltered veterans <strong>in</strong> major cities.<br />

<strong>The</strong>re were 12 percent more <strong>in</strong>dividuals with<br />

chronic patterns <strong>of</strong> homelessness <strong>in</strong> 2017 than<br />

<strong>in</strong> 2016, but has decl<strong>in</strong>ed by 27 percent s<strong>in</strong>ce<br />

2007. Unlike other <strong>in</strong>creases <strong>in</strong> the last year, the<br />

<strong>in</strong>crease <strong>in</strong> chronic homelessness <strong>in</strong>cluded both<br />

sheltered populations (8% <strong>in</strong>crease) and unsheltered<br />

populations (14% <strong>in</strong>crease).<br />

Percent <strong>of</strong> Homeless People<br />

By Household Type and Sheltered Status, 2017<br />

People <strong>in</strong><br />

Families,<br />

Unsheltered<br />

People <strong>in</strong><br />

Families,<br />

Sheltered<br />

3%<br />

35% Unsheltered<br />

30%<br />

32%<br />

35%<br />

Individuals,<br />

Sheltered<br />

65% Sheltered<br />

Individuals,<br />

Unsheltered<br />

2017 PIT<br />

Estimate:<br />

Change from<br />

2016<br />

All People<br />

Individuals<br />

Families with<br />

Children<br />

Unaccompanied<br />

Homeless Youth<br />

Veterans<br />

Individuals<br />

with Chronic<br />

Patterns <strong>of</strong><br />

<strong>Homelessness</strong><br />

553,742 369,081 184,661 40,799 40,056 86,962<br />

+1% +4% -5% +2% +12% <br />

1


Def<strong>in</strong>ition <strong>of</strong> Terms<br />

Please note: Key terms are used for AHAR report<strong>in</strong>g purposes and accurately reflect the data used <strong>in</strong> this<br />

report. Def<strong>in</strong>itions <strong>of</strong> these terms may differ <strong>in</strong> some ways from the def<strong>in</strong>itions found <strong>in</strong> the Homeless<br />

Emergency Assistance and Rapid Transition to Hous<strong>in</strong>g (HEARTH) Act and <strong>in</strong> HUD regulations.<br />

Chronically Homeless Individual refers to<br />

an <strong>in</strong>dividual with a disability who has been<br />

cont<strong>in</strong>uously homeless for one year or more<br />

or has experienced at least four episodes <strong>of</strong><br />

homelessness <strong>in</strong> the last three years where<br />

the comb<strong>in</strong>ed length <strong>of</strong> time homeless <strong>in</strong> those<br />

occasions is at least 12 months.<br />

Chronically Homeless People <strong>in</strong> Families<br />

refers to people <strong>in</strong> families <strong>in</strong> which the head<br />

<strong>of</strong> household has a disability and has either<br />

been cont<strong>in</strong>uously homeless for one year or<br />

more or has experienced at least four episodes<br />

<strong>of</strong> homelessness <strong>in</strong> the last three years where<br />

the comb<strong>in</strong>ed length <strong>of</strong> time homeless <strong>in</strong> those<br />

occasions is at least 12 months.<br />

Cont<strong>in</strong>uums <strong>of</strong> Care (CoC) are local plann<strong>in</strong>g<br />

bodies responsible for coord<strong>in</strong>at<strong>in</strong>g the full range<br />

<strong>of</strong> homelessness services <strong>in</strong> a geographic area,<br />

which may cover a city, county, metropolitan area,<br />

or an entire state.<br />

Emergency Shelter is a facility with the primary<br />

purpose <strong>of</strong> provid<strong>in</strong>g temporary shelter for<br />

homeless people.<br />

Homeless describes a person who lacks a fixed,<br />

regular, and adequate nighttime residence.<br />

Hous<strong>in</strong>g Inventory Count (HIC) is produced<br />

by each CoC and provides an annual <strong>in</strong>ventory<br />

<strong>of</strong> beds that assist people <strong>in</strong> the CoC who<br />

are experienc<strong>in</strong>g homelessness or leav<strong>in</strong>g<br />

homelessness.<br />

Individual refers to a person who is not part<br />

<strong>of</strong> a family with children dur<strong>in</strong>g an episode <strong>of</strong><br />

homelessness. Individuals may be homeless<br />

as s<strong>in</strong>gle adults, unaccompanied youth, or <strong>in</strong><br />

multiple-adult or multiple-child households.<br />

Other Permanent Hous<strong>in</strong>g is hous<strong>in</strong>g with or<br />

without services that is specifically for formerly<br />

homeless people but that does not require people<br />

to have a disability.<br />

Parent<strong>in</strong>g Youth are people under age 25 who<br />

are the parents or legal guardians <strong>of</strong> one or more<br />

children (under age 18) who are present with or<br />

sleep<strong>in</strong>g <strong>in</strong> the same place as that youth parent,<br />

where there is no person over age 24 <strong>in</strong> the<br />

household.<br />

Parent<strong>in</strong>g Youth Household is a household<br />

with at least one parent<strong>in</strong>g youth and the child<br />

or children for whom the parent<strong>in</strong>g youth is the<br />

parent or legal guardian.<br />

People <strong>in</strong> Families with children are people<br />

who are homeless as part <strong>of</strong> a household that has<br />

at least one adult (age 18 and older) and one child<br />

(under age 18).<br />

Permanent Supportive Hous<strong>in</strong>g (PSH) is a<br />

hous<strong>in</strong>g model designed to provide hous<strong>in</strong>g<br />

assistance (project- and tenant-based) and<br />

supportive services on a long-term basis to<br />

formerly homeless people. HUD’s Cont<strong>in</strong>uum <strong>of</strong><br />

Care program, authorized by the McK<strong>in</strong>ney-Vento<br />

Act, funds PSH and requires that the client have a<br />

disability for eligibility.<br />

Po<strong>in</strong>t-<strong>in</strong>-Time Counts are unduplicated 1-night<br />

estimates <strong>of</strong> both sheltered and unsheltered<br />

homeless populations. <strong>The</strong> 1-night counts are<br />

conducted by CoCs nationwide and occur dur<strong>in</strong>g<br />

the last week <strong>in</strong> January <strong>of</strong> each year.<br />

Rapid Rehous<strong>in</strong>g is a hous<strong>in</strong>g model designed<br />

to provide temporary hous<strong>in</strong>g assistance to<br />

people experienc<strong>in</strong>g homelessness, mov<strong>in</strong>g them<br />

quickly out <strong>of</strong> homelessness and <strong>in</strong>to permanent<br />

hous<strong>in</strong>g.<br />

Safe Havens provide temporary shelter and<br />

services to hard-to-serve <strong>in</strong>dividuals.<br />

Sheltered <strong>Homelessness</strong> refers to people who<br />

are stay<strong>in</strong>g <strong>in</strong> emergency shelters, transitional<br />

hous<strong>in</strong>g programs, or safe havens.<br />

Transitional Hous<strong>in</strong>g Programs provide<br />

people experienc<strong>in</strong>g homelessness a place to stay<br />

comb<strong>in</strong>ed with supportive services for up to 24<br />

months.<br />

2


Unaccompanied Homeless Youth (under 18) are<br />

people <strong>in</strong> households with only children who are<br />

not part <strong>of</strong> a family with children or accompanied<br />

by their parent or guardian dur<strong>in</strong>g their episode <strong>of</strong><br />

homelessness, and who are under the age <strong>of</strong> 18.<br />

Unaccompanied Homeless Youth (18-24) are<br />

people <strong>in</strong> households without children who are<br />

not part <strong>of</strong> a family with children or accompanied<br />

by their parent or guardian dur<strong>in</strong>g their episode<br />

<strong>of</strong> homelessness, and who are between the ages<br />

<strong>of</strong> 18 and 24.<br />

Unsheltered <strong>Homelessness</strong> refers to people<br />

whose primary nighttime location is a public or<br />

private place not designated for, or ord<strong>in</strong>arily used<br />

as, a regular sleep<strong>in</strong>g accommodation for people<br />

(for example, the streets, vehicles, or parks).<br />

Veteran refers to any person who served on<br />

active duty <strong>in</strong> the armed forces <strong>of</strong> the United<br />

States. This <strong>in</strong>cludes Reserves and National Guard<br />

members who were called up to active duty.<br />

3


Progress on Prevent<strong>in</strong>g and End<strong>in</strong>g<br />

<strong>Homelessness</strong><br />

<strong>The</strong> U.S. Department <strong>of</strong> Hous<strong>in</strong>g and Urban<br />

Development and other federal agencies<br />

collaborate with state and local partners to<br />

prevent and end homelessness across the country.<br />

This coord<strong>in</strong>ated effort to end homelessness<br />

cont<strong>in</strong>ues to be a key to mak<strong>in</strong>g progress to<br />

prevent<strong>in</strong>g and end<strong>in</strong>g homelessness.<br />

GOAL<br />

Prevent and end chronic<br />

homelessness<br />

• <strong>The</strong> number <strong>of</strong> <strong>in</strong>dividuals experienc<strong>in</strong>g<br />

chronic homelessness decl<strong>in</strong>ed by 18 percent,<br />

or over 19,000 people, between 2010 and 2017.<br />

• Just under 87,000 <strong>in</strong>dividuals experienc<strong>in</strong>g<br />

homelessness on a particular night <strong>in</strong><br />

January 2017 had chronic patterns <strong>of</strong><br />

homelessness. Nearly seven <strong>in</strong> ten<br />

<strong>in</strong>dividuals experienc<strong>in</strong>g chronic<br />

homelessness were stay<strong>in</strong>g outdoors, <strong>in</strong><br />

abandoned build<strong>in</strong>gs, or other locations<br />

not suitable for human habitation rather than<br />

stay<strong>in</strong>g <strong>in</strong> shelters, reflect<strong>in</strong>g the high<br />

degree <strong>of</strong> vulnerability <strong>of</strong> this population.<br />

• In 2017, there were nearly 94,000 more<br />

permanent supportive hous<strong>in</strong>g (PSH) beds<br />

dedicated to people with chronic patterns <strong>of</strong><br />

homelessness than there were <strong>in</strong> 2010.<br />

GOAL<br />

Prevent and end homelessness<br />

among Veterans<br />

• Between 2010 and 2017, the number <strong>of</strong><br />

veterans experienc<strong>in</strong>g homelessness was cut<br />

nearly <strong>in</strong> half. Veteran homelessness has<br />

dropped by 46 percent, or by more than 34,000<br />

people s<strong>in</strong>ce 2010.<br />

• On a s<strong>in</strong>gle night <strong>in</strong> January 2017, just more<br />

than 40,000 veterans were experienc<strong>in</strong>g<br />

homelessness. A majority (62%) were stay<strong>in</strong>g<br />

<strong>in</strong> emergency shelters or transitional hous<strong>in</strong>g<br />

programs.<br />

GOAL<br />

Prevent and end homelessness for<br />

families, youth, and children<br />

• In January 2017, about 185,000 people <strong>in</strong><br />

families with children experienced<br />

homelessness, about 57,000 fewer people than<br />

<strong>in</strong> 2010, a 24 percent decl<strong>in</strong>e.<br />

• Just fewer than 22,000 people were <strong>in</strong> families<br />

with children <strong>in</strong> which the head <strong>of</strong> household<br />

was under the age <strong>of</strong> 25<br />

• More than 40,000 people under the age <strong>of</strong> 25<br />

were unaccompanied youth—that is, homeless<br />

on their own rather than as part <strong>of</strong> a family.<br />

About 36,000 youth between the ages<br />

<strong>of</strong> 18 and 24 were homeless by themselves, as<br />

were about 4,800 youth under the age <strong>of</strong> 18.<br />

GOAL<br />

Set a path to end<strong>in</strong>g all types <strong>of</strong><br />

homelessness<br />

• In January 2017, almost 554,000 people were<br />

homeless on a s<strong>in</strong>gle night, with nearly<br />

two-thirds (65%) found <strong>in</strong> emergency shelters<br />

or transitional hous<strong>in</strong>g programs.<br />

• While the number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong>creased by just under one<br />

percent between 2016 and 2017, homelessness<br />

has decl<strong>in</strong>ed by more than 83,000 people s<strong>in</strong>ce<br />

2010, a 13 percent reduction. <strong>The</strong> recent<br />

<strong>in</strong>crease <strong>in</strong> homelessness is attributable to an<br />

<strong>in</strong>crease <strong>in</strong> the number <strong>of</strong> <strong>in</strong>dividuals stay<strong>in</strong>g<br />

<strong>in</strong> unsheltered locations <strong>in</strong> major cities.<br />

4


5


About This Report<br />

<strong>The</strong> Department <strong>of</strong> Hous<strong>in</strong>g and Urban<br />

Development (HUD) releases the Annual<br />

Homeless Assessment Report to Congress<br />

(AHAR) <strong>in</strong> two parts. Part 1 provides Po<strong>in</strong>t-<strong>in</strong>-<br />

Time (PIT) estimates, <strong>of</strong>fer<strong>in</strong>g a snapshot <strong>of</strong><br />

homelessness—both sheltered and unsheltered—<br />

on a s<strong>in</strong>gle night. <strong>The</strong> one-night counts are<br />

conducted dur<strong>in</strong>g the last 10 days <strong>of</strong> January each<br />

year. <strong>The</strong> PIT counts also provide an estimate <strong>of</strong><br />

the number <strong>of</strong> people experienc<strong>in</strong>g homelessness<br />

with<strong>in</strong> particular homeless populations, such as<br />

people with chronic patterns <strong>of</strong> homelessness and<br />

veterans experienc<strong>in</strong>g homelessness.<br />

This year serves as the basel<strong>in</strong>e year for<br />

estimates <strong>of</strong> unaccompanied youth, that is,<br />

people under the age <strong>of</strong> 25 who are experienc<strong>in</strong>g<br />

homelessness on their own, not <strong>in</strong> the company<br />

<strong>of</strong> their parent or guardian, and who are not part<br />

<strong>of</strong> a family. Also for the first time this year, Part<br />

1 <strong>of</strong> the AHAR <strong>in</strong>cludes some exam<strong>in</strong>ation <strong>of</strong> the<br />

changes <strong>in</strong> demographic characteristics <strong>of</strong> people<br />

experienc<strong>in</strong>g homelessness.<br />

To understand our nation’s capacity to serve<br />

people who are currently or formerly experienc<strong>in</strong>g<br />

homelessness, this report also provides counts <strong>of</strong><br />

beds <strong>in</strong> emergency shelters, transitional hous<strong>in</strong>g<br />

programs, safe havens, rapid rehous<strong>in</strong>g programs,<br />

permanent supportive hous<strong>in</strong>g programs, and<br />

other permanent hous<strong>in</strong>g.<br />

In 2017, the PIT estimates <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> sheltered and unsheltered<br />

locations, as well as the number <strong>of</strong> beds available<br />

to serve them, were reported by 399 Cont<strong>in</strong>uums<br />

<strong>of</strong> Care (CoC) nationwide. <strong>The</strong>se 399 CoCs<br />

covered virtually the entire United States. <strong>The</strong><br />

Northern Mariana Islands are the newest CoC<br />

and reported PIT and HIC data for the first time<br />

<strong>in</strong> 2017.<br />

HUD has methodological standards for conduct<strong>in</strong>g<br />

the PIT counts, and CoCs use a variety <strong>of</strong><br />

approved methods to produce the counts. <strong>The</strong><br />

guide for PIT methodologies can be found here:<br />

https://www.hudexchange.<strong>in</strong>fo/resource/4036/<br />

po<strong>in</strong>t-<strong>in</strong>-time-count-methodology-guide. HUD<br />

reviews the data for accuracy and quality prior to<br />

creat<strong>in</strong>g the estimates for this report.<br />

6


Estimates <strong>of</strong> <strong>Homelessness</strong><br />

IN THE UNITED STATES<br />

7


1National Estimates<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2007–2017<br />

EXHIBIT 1.1: PIT Estimates <strong>of</strong> People<br />

Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

By Sheltered Status, 2007–2017<br />

647,258 639,784 630,227 637,077 623,788 621,553<br />

590,364 576,450 564,708 549,928 553,742<br />

391,401 386,361 403,308 403,543 392,316 390,155 394,698 401,051 391,440 373,571 360,867<br />

255,857 253,423<br />

226,919 233,534 231,472 231,398<br />

195,666<br />

175,399 173,268 176,357 192,875<br />

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017<br />

All Homeless People<br />

Sheltered People<br />

Unsheltered People<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• 553,742 people were experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> the United States.<br />

• Most (65% or 360,867 people) were stay<strong>in</strong>g<br />

<strong>in</strong> emergency shelters or transitional hous<strong>in</strong>g<br />

programs, while 35 percent (192,875 people)<br />

were stay<strong>in</strong>g <strong>in</strong> unsheltered locations.<br />

• Two <strong>in</strong> three people experienc<strong>in</strong>g<br />

homelessness (67%) were adults <strong>in</strong> households<br />

without children. <strong>The</strong> rema<strong>in</strong><strong>in</strong>g 33 percent <strong>of</strong><br />

people experienc<strong>in</strong>g homelessness did so as<br />

part <strong>of</strong> a family.<br />

• For every 10,000 people <strong>in</strong> the United States, 17<br />

were experienc<strong>in</strong>g homelessness.<br />

Demographic Characteristics<br />

• In 2017, over one-fifth <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness were children (21% or 114,829),<br />

70 percent were over the age <strong>of</strong> 24, and ten<br />

percent were between the ages <strong>of</strong> 18 and 24.<br />

• Children rarely were unsheltered. N<strong>in</strong>e <strong>in</strong> ten<br />

children experienc<strong>in</strong>g homelessness were<br />

stay<strong>in</strong>g <strong>in</strong> emergency shelters or transitional<br />

hous<strong>in</strong>g programs.<br />

• Just under 61 percent <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness (335,038 people) were men, and<br />

39 percent (215,709 people) were women. Fewer<br />

than one percent were either transgender<br />

(2,092) or did not identify as male, female, or<br />

transgender (903).<br />

• Gender varied by sheltered status. People<br />

stay<strong>in</strong>g <strong>in</strong> unsheltered locations were more<br />

likely to be men (71%), while people stay<strong>in</strong>g<br />

<strong>in</strong> emergency shelters or transitional hous<strong>in</strong>g<br />

programs were somewhat more likely to be<br />

women (55%).<br />

• Nearly half <strong>of</strong> all people experienc<strong>in</strong>g<br />

homelessness identified their race as white<br />

(47% or 260,979 people). Most other people<br />

experienc<strong>in</strong>g homelessness identified as<br />

African American (41% or 224,937 people).<br />

Seven percent (35,745 people) <strong>of</strong> people<br />

experienc<strong>in</strong>g homelessness identified<br />

themselves as multiracial. One <strong>in</strong> five people<br />

experienc<strong>in</strong>g homelessness (22% or 119,419<br />

people) was Hispanic or Lat<strong>in</strong>o.<br />

• Demographic characteristics varied by<br />

sheltered status. For example, people<br />

experienc<strong>in</strong>g homelessness <strong>in</strong> unsheltered<br />

locations were more likely to be white (55%)<br />

than people <strong>in</strong> sheltered locations (43%). By<br />

comparison, people <strong>in</strong> sheltered locations were<br />

more likely to be African American (46%) than<br />

people <strong>in</strong> unsheltered locations (30%).<br />

EXHIBIT 1.2: <strong>Homelessness</strong><br />

By Household Type and Sheltered Status, 2017<br />

People <strong>in</strong><br />

Families,<br />

Unsheltered<br />

People <strong>in</strong><br />

Families,<br />

Sheltered<br />

3%<br />

35% Unsheltered<br />

30%<br />

32%<br />

35%<br />

Individuals,<br />

Sheltered<br />

65% Sheltered<br />

Individuals,<br />

Unsheltered<br />

8


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 1.3: Demographic Characteristics <strong>of</strong> People Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

2017<br />

All Homeless People Sheltered People Unsheltered People<br />

# % # % # %<br />

Total 553,742 100 360,867 100 192,875 100<br />

Age<br />

Under 18 114,829 20.7 103,289 28.6 11,540 6.0<br />

18 to 24 53,438 9.7 31,742 8.8 21,696 11.2<br />

Over 24 385,475 69.6 225,836 62.6 159,639 82.8<br />

Gender<br />

Female 215,709 39.0 160,606 44.5 55,103 28.6<br />

Male 335,038 60.5 198,935 55.1 136,103 70.6<br />

Transgender 2,092 0.4 1,100 0.3 992 0.5<br />

Does not identify<br />

as male, female or<br />

transgender<br />

Ethnicity<br />

903 0.2 226 0.1 677 0.4<br />

Non-Hispanic 434,323 78.4 285,867 79.2 148,456 77.0<br />

Hispanic 119,419 21.6 75,000 20.8 44,419 23.0<br />

Race<br />

White 260,979 47.1 154,489 42.8 106,490 55.2<br />

African American 224,937 40.6 167,489 46.4 57,448 29.8<br />

Asian 6,760 1.2 3,703 1.0 3,057 1.6<br />

Native American 16,796 3.0 8,724 2.4 8,072 4.2<br />

Pacific Islander 8,525 1.5 4,485 1.2 4,040 2.1<br />

Multiple Races 35,745 6.5 21,977 6.1 13,768 7.1<br />

EXHIBIT 1.4: Change <strong>in</strong> Number <strong>of</strong> People Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

2007–2017<br />

Change 2016–2017 Change 2010–2017 Change 2007–2017<br />

# % # % # %<br />

Total 3,814 0.7 -83,335 -13.1 -93,516 -14.4<br />

Sheltered People -12,704 -3.4 -42,676 -10.6 -30,534 -7.8<br />

Unsheltered People 16,518 9.4 -40,659 -17.4 -62,982 -24.6<br />

9


1National Estimates<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2007–2017<br />

EXHIBIT 1.5: Change <strong>in</strong> <strong>Homelessness</strong><br />

By Age and Sheltered Status, 2016–2017<br />

All Homeless<br />

People<br />

Sheltered<br />

People<br />

Unsheltered<br />

People<br />

# % # % # %<br />

Total 3,814 0.7% -12,704 -3.4% 16,518 9.4%<br />

Under 18 -5,990 -5.0% -5,577 -5.1% -413 -3.5%<br />

18 to 24 3,437 6.9% -1,539 -4.6% 4,976 29.8%<br />

Over 24 6,367 1.7% -5,588 -2.4% 11,955 8.1%<br />

S<strong>in</strong>ce 2016<br />

• <strong>Homelessness</strong> <strong>in</strong>creased by one percent (or<br />

3,814 people) overall between 2016 and 2017.<br />

• An <strong>in</strong>crease <strong>in</strong> people stay<strong>in</strong>g <strong>in</strong> unsheltered<br />

locations accounts for the entire overall<br />

<strong>in</strong>crease. Although the number <strong>of</strong> people<br />

stay<strong>in</strong>g <strong>in</strong> emergency shelters or transitional<br />

hous<strong>in</strong>g programs decreased for the third<br />

straight year (by 12,704 people, or 3%<br />

between 2016 and 2017), the number <strong>of</strong> people<br />

experienc<strong>in</strong>g homelessness <strong>in</strong> unsheltered<br />

locations <strong>in</strong>creased for a second straight year<br />

(by 16,518 people, or 9% between 2016 and<br />

2017).<br />

• <strong>Homelessness</strong> decl<strong>in</strong>ed among children but<br />

<strong>in</strong>creased among adults, especially younger<br />

adults. <strong>The</strong> number <strong>of</strong> children experienc<strong>in</strong>g<br />

homelessness decl<strong>in</strong>ed by five percent (5,990<br />

people), but homelessness <strong>in</strong>creased by seven<br />

percent (3,437) among those ages 18 to 24 and<br />

by two percent (6,367) among those ages 24<br />

and older.<br />

An <strong>in</strong>crease <strong>in</strong> people stay<strong>in</strong>g <strong>in</strong><br />

unsheltered locations accounted<br />

for the entire <strong>in</strong>crease <strong>in</strong> people<br />

experienc<strong>in</strong>g homelessness<br />

between 2016 and 2017.<br />

• <strong>Homelessness</strong> decl<strong>in</strong>ed among women but<br />

<strong>in</strong>creased among both men and people<br />

identify<strong>in</strong>g as transgender. <strong>The</strong> number <strong>of</strong><br />

women experienc<strong>in</strong>g homelessness decl<strong>in</strong>ed<br />

by one percent (1,559 people), while the<br />

number <strong>of</strong> men <strong>in</strong>creased by one percent (4,148<br />

people) and the number <strong>of</strong> transgender people<br />

experienc<strong>in</strong>g homelessness <strong>in</strong>creased by 18<br />

percent (or 322 people).<br />

• <strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness who identified as Hispanic or<br />

Lat<strong>in</strong>o decl<strong>in</strong>ed between 2016 and 2017, by<br />

two percent overall (or 1,880 people) and by<br />

14 percent for sheltered people (or 12,141).<br />

However, the number <strong>of</strong> people who were<br />

Hispanic and stay<strong>in</strong>g <strong>in</strong> unsheltered locations<br />

<strong>in</strong>creased by 30 percent (or 10,261 people)<br />

between 2016 and 2017.<br />

• <strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong>creased overall among people<br />

who identified as African American (by 5%),<br />

and decl<strong>in</strong>ed slightly among people who<br />

identified as white (by 2%).<br />

• <strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> unsheltered locations <strong>in</strong>creased<br />

for all racial groups except for those who identify<br />

as Pacific Islander or multi-racial. <strong>The</strong> largest<br />

<strong>in</strong>creases were among people who identified as<br />

Asian (44%) and African American (23%).<br />

S<strong>in</strong>ce 2007<br />

• <strong>Homelessness</strong> decl<strong>in</strong>ed by 14 percent (93,516<br />

people) overall between 2007 and 2017.<br />

• Despite the <strong>in</strong>crease <strong>in</strong> people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> unsheltered locations between<br />

2016 and 2017, the decl<strong>in</strong>e <strong>in</strong> homelessness<br />

over the longer period, 2007-2017, reflected<br />

the large decreases among people stay<strong>in</strong>g<br />

<strong>in</strong> unsheltered locations. <strong>The</strong> number <strong>of</strong><br />

unsheltered people decl<strong>in</strong>ed by 25 percent<br />

(62,982 people) over the ten-year period, while<br />

the number stay<strong>in</strong>g <strong>in</strong> emergency shelters or<br />

transitional hous<strong>in</strong>g programs decl<strong>in</strong>ed by<br />

eight percent (30,534 people).<br />

10


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

11


1State Estimates<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2007–2017; Excludes Puerto Rico and U.S. territories<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• Half <strong>of</strong> all people experienc<strong>in</strong>g homelessness<br />

did so <strong>in</strong> one <strong>of</strong> five states: California (25%<br />

or 134,278 people); New York (16% or 89,503<br />

people); Florida (6% or 32,190 people); Texas<br />

(4% or 23,548 people); or Wash<strong>in</strong>gton (4% or<br />

21,112 people).<br />

• California and New York, the states with<br />

the largest numbers <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness, also had high rates <strong>of</strong><br />

homelessness, 34 and 45 people per 10,000,<br />

compared to the national average <strong>of</strong> 17 people<br />

per 10,000. Wash<strong>in</strong>gton and Massachusetts<br />

also had high rates (29 and 26 people per<br />

10,000). While Florida and Texas had among<br />

the highest numbers <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness, they had rates lower than the<br />

national average.<br />

• California accounted for nearly half <strong>of</strong> all<br />

unsheltered people <strong>in</strong> the country <strong>in</strong> 2017<br />

(49% or 91,642 people). Florida had the second<br />

highest share <strong>of</strong> the unsheltered homeless<br />

population <strong>in</strong> the U.S., with eight percent<br />

(15,079 people).<br />

• In four states, more than half <strong>of</strong> all people<br />

experienc<strong>in</strong>g homelessness lived <strong>in</strong><br />

unsheltered locations: California (68%), Nevada<br />

(58%), Oregon (57%), and Hawaii (53%).<br />

• In two states, fewer than five percent <strong>of</strong> all<br />

people experienc<strong>in</strong>g homelessness did so<br />

without shelter. In Iowa, just four percent<br />

<strong>of</strong> people experienc<strong>in</strong>g homelessness were<br />

unsheltered (104 people), while <strong>in</strong> Nebraska,<br />

just under five percent <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness were unsheltered (120 people).<br />

EXHIBIT 1.6: Estimates <strong>of</strong> Homeless People<br />

By State, 2017<br />

WA<br />

21,112<br />

MT<br />

1,529<br />

OR<br />

13,953 ID<br />

2,037<br />

WY<br />

873<br />

NV<br />

7,833 UT<br />

2,852 CO<br />

10,940<br />

CA<br />

134,278<br />

AZ NM<br />

8,947 2,482<br />

AK<br />

1,845<br />

ME, 2,280<br />

ND<br />

VT, 1,225<br />

1,089 MN<br />

NH, 1,456<br />

7,668<br />

NY MA, 17,565<br />

SD<br />

WI<br />

943<br />

5,027 MI<br />

89,503 RI, 1,180<br />

9,051<br />

CT, 3,388<br />

IA<br />

PA<br />

NE 2,756 IL OH 14,138 NJ, 8,536<br />

2,501<br />

10,798 IN 10,095<br />

DE, 994<br />

5,438 WV MD, 7,247<br />

VA<br />

KS MO<br />

KY 1,309 6,067<br />

DC, 7,473<br />

2,287 6,037 4,025<br />

NC, 8,962<br />

Share <strong>of</strong> Homeless Population<br />

OK<br />

TN, 8,309<br />

AR<br />

4,199<br />

SC<br />

Less than 1%<br />

2,467<br />

3,916<br />

MS AL<br />

1%–2.9%<br />

GA<br />

1,472 3,793<br />

TX<br />

10,174<br />

3%–6%<br />

23,548 LA<br />

Greater than 6%<br />

3,305<br />

FL 32,190<br />

HI<br />

7,220<br />

12


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 1.7: States with the Highest and Lowest Rates <strong>of</strong> Unsheltered People<br />

Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

2017<br />

Highest Rates<br />

CALIFORNIA<br />

NEVADA<br />

OREGON<br />

HAWAII<br />

MISSISSIPPI<br />

68.2%<br />

58.4%<br />

57.1%<br />

52.6%<br />

48.8%<br />

134,278 Homeless<br />

91,642 Unsheltered<br />

7,883 Homeless<br />

4,578 Unsheltered<br />

13,953 Homeless<br />

7,967 Unsheltered<br />

7,220 Homeless<br />

3,800 Unsheltered<br />

1,472 Homeless<br />

719 Unsheltered<br />

Lowest Rates<br />

IOWA<br />

NEBRASKA<br />

NEW YORK<br />

MASSACH<strong>US</strong>ETTS<br />

RHODE ISLAND<br />

3.8%<br />

4.8%<br />

5.1%<br />

5.6%<br />

5.8%<br />

2,756 Homeless<br />

104 Unsheltered<br />

2,501 Homeless<br />

120 Unsheltered<br />

89,503 Homeless<br />

4,555 Unsheltered<br />

17,565 Homeless<br />

991 Unsheltered<br />

1,180 Homeless<br />

69 Unsheltered<br />

EXHIBIT 1.8: Largest Changes <strong>in</strong> <strong>Homelessness</strong> by State<br />

By State, 2007–2017<br />

2016–2017 2007–2017<br />

Largest Increases<br />

CALIFORNIA 16,136 / 13.7% NEW YORK 26,902 / 43.0%<br />

NEW YORK 3,151 / 3.6% MASSACH<strong>US</strong>ETTS 2,438 / 16.1%<br />

OREGON 715 / 5.4% DISTRICT OF COLUMBIA 2,153 / 40.5%<br />

NEVADA 435 / 5.9% HAWAII 1,150 / 18.9%<br />

TEXAS 426 / 1.8% MONTANA 379 / 33.0%<br />

Largest Decreases<br />

GEORGIA -2,735 / -21.2% TEXAS -16,240 / -40.8%<br />

MASSACH<strong>US</strong>ETTS -2,043 / -10.4% FLORIDA -15,879 / -33.0%<br />

FLORIDA -1,369 / -4.1% GEORGIA -9,465 / -48.2%<br />

PENNSYLVANIA -1,201 / -7.8% NEW JERSEY -8,778 / -50.7%<br />

SOUTH CAROLINA -1,135 / -22.5% ARIZONA -5,699 / -38.9%<br />

a<br />

Due to methodological changes, Colorado, North Dakota, South Dakota, Michigan, and Wyom<strong>in</strong>g were excluded from the list <strong>of</strong> largest<br />

decreases from 2007-2017.<br />

13


1State Estimates<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Changes Over Time<br />

• <strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness decl<strong>in</strong>ed <strong>in</strong> 30 states and<br />

the District <strong>of</strong> Columbia between 2016 and<br />

2017. <strong>The</strong> largest absolute decreases were <strong>in</strong><br />

Georgia (2,735 fewer people), Massachusetts<br />

(2,043 fewer people), and Florida (1,369 fewer<br />

people). <strong>The</strong> largest percentage decreases were<br />

<strong>in</strong> South Carol<strong>in</strong>a (23%), Georgia (21%), and<br />

Louisiana (17%).<br />

• <strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong>creased <strong>in</strong> 20 states between<br />

2016 and 2017. <strong>The</strong> largest absolute <strong>in</strong>creases<br />

were <strong>in</strong> California (16,136 people), New York<br />

(3,151 people), and Oregon (715 people). <strong>The</strong><br />

largest percentage <strong>in</strong>creases were <strong>in</strong> North<br />

Dakota (18%), California (14%), New Mexico<br />

(10%), and Vermont (10%).<br />

• <strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness decl<strong>in</strong>ed <strong>in</strong> 36 states between<br />

2007 and 2017. <strong>The</strong> largest decreases were<br />

<strong>in</strong> Texas (16,240 fewer people or 41%), Florida<br />

(15,879 people or 33%), and Georgia (9,465<br />

people or 48%).<br />

• <strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong>creased <strong>in</strong> 14 states, plus<br />

the District <strong>of</strong> Columbia, between 2007 and<br />

2017. <strong>The</strong> largest absolute <strong>in</strong>creases were<br />

<strong>in</strong> New York (26,902 more people or 43%),<br />

Massachusetts (2,438 people or 16%), and the<br />

District <strong>of</strong> Columbia (2,153 people or 41%).<br />

Despite a national <strong>in</strong>crease<br />

between 2016 and 2017, the<br />

number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness decl<strong>in</strong>ed <strong>in</strong> 30 states<br />

and the District <strong>of</strong> Columbia dur<strong>in</strong>g<br />

that time period.<br />

14


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

15


1Estimates by CoC<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2007–2017; Excludes Puerto Rico and U.S. territories<br />

Cont<strong>in</strong>uums <strong>of</strong> Care (CoC) Were Divided<br />

<strong>in</strong>to Three Geographic Categories 1<br />

Major city CoCs (n=48) cover the 50 largest<br />

cities <strong>in</strong> the United States. In two cases (Phoenix<br />

and Mesa, AZ, and Arl<strong>in</strong>gton and Fort Worth, TX),<br />

two large cities were located <strong>in</strong> the same CoC.<br />

Smaller city, county, and regional CoCs (n=306)<br />

are jurisdictions that are neither one <strong>of</strong> the 50<br />

largest cities <strong>in</strong> the United States nor Balance <strong>of</strong><br />

State or Statewide CoCs.<br />

Balance <strong>of</strong> State (BoS) or statewide CoCs<br />

(n=40) are typically composed <strong>of</strong> multiple rural<br />

counties or represent an entire state.<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• Nearly one <strong>of</strong> every four people experienc<strong>in</strong>g<br />

homelessness did so <strong>in</strong> New York City or<br />

Los Angeles. Nearly all people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> New York City were sheltered<br />

(95%). By comparison, only 25 percent <strong>of</strong> those<br />

experienc<strong>in</strong>g homelessness <strong>in</strong> Los Angeles<br />

were sheltered <strong>in</strong> 2017.<br />

• Some <strong>of</strong> the most populous major cities were<br />

not among those with the largest homeless<br />

populations. Chicago, Houston, and Phoenix<br />

were among the five largest cities <strong>in</strong> the<br />

country but were not among the cities with<br />

the largest numbers <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness. In contrast, Seattle was the 18th<br />

largest city <strong>in</strong> the country but had the third<br />

largest homeless population. <strong>The</strong> District <strong>of</strong><br />

Columbia was 21st <strong>in</strong> total population and had<br />

the fifth largest homeless population.<br />

• In two major city CoCs, fewer than five percent<br />

<strong>of</strong> all people experienc<strong>in</strong>g homelessness did<br />

so without shelter. Those CoCs were: Omaha/<br />

Council Bluffs (4% or 57 people) and Boston<br />

(3% or 186 people). In three major city CoCs, all<br />

<strong>in</strong> California, more than 70 percent <strong>of</strong> people<br />

experienc<strong>in</strong>g homelessness were unsheltered.<br />

Those were: Fresno/Madera County (76%), Los<br />

Angeles (75%), and San Jose/Santa Clara (74%).<br />

1 5 CoCs located <strong>in</strong> Puerto Rico, Virg<strong>in</strong> Islands, Guam, and<br />

Northern Mariana Islands were excluded from CoC-level analysis.<br />

EXHIBIT 1.9: Percent <strong>of</strong> People Experienc<strong>in</strong>g<br />

<strong>Homelessness</strong><br />

By CoC Category and Sheltered Status, 2017<br />

Total Homeless<br />

Population<br />

Sheltered<br />

Population<br />

Unsheltered<br />

Population<br />

0% 100%<br />

Major Cities<br />

51.5<br />

50.8<br />

52.9 34.2<br />

Smaller City, County, and Regional CoCs<br />

Balance <strong>of</strong> State and Statewide CoCs<br />

34.9 13.6<br />

35.2<br />

14.0<br />

12.9<br />

Changes Over Time<br />

• <strong>The</strong> number <strong>of</strong> all people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong>creased <strong>in</strong> major cities and<br />

decreased elsewhere between 2016 and<br />

2017. <strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> major cities <strong>in</strong>creased by just<br />

over five percent (13,922 people) between 2016<br />

and 2017, driv<strong>in</strong>g the <strong>in</strong>crease <strong>in</strong> homelessness<br />

nationwide. More specifically, <strong>in</strong>creases <strong>in</strong><br />

unsheltered homelessness <strong>in</strong> major cities<br />

drove the national <strong>in</strong>crease, with 17,139 more<br />

unsheltered people <strong>in</strong> those CoCs (an <strong>in</strong>crease<br />

<strong>of</strong> 21%).<br />

• <strong>The</strong> number <strong>of</strong> people who experienced<br />

homelessness decreased by three percent<br />

(6,386 fewer people) <strong>in</strong> smaller cities, counties,<br />

and regional CoCs, and by four percent (3,308<br />

fewer people) <strong>in</strong> balance <strong>of</strong> state (BoS) and<br />

statewide CoCs.<br />

• In addition to <strong>in</strong>creas<strong>in</strong>g <strong>in</strong> major cities, the<br />

number <strong>of</strong> people experienc<strong>in</strong>g homelessness<br />

without shelter also <strong>in</strong>creased <strong>in</strong> smaller cities,<br />

counties, and regional CoCs between 2016 and<br />

2017, but the number <strong>of</strong> unsheltered homeless<br />

people decl<strong>in</strong>ed <strong>in</strong> BoS and statewide CoCs.<br />

• <strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness who stayed <strong>in</strong> emergency<br />

shelters or transitional hous<strong>in</strong>g decreased<br />

across all three categories <strong>of</strong> CoCs between<br />

16


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

2016 and 2017. <strong>The</strong> number <strong>of</strong> people<br />

experienc<strong>in</strong>g homelessness who stayed <strong>in</strong><br />

emergency shelters or transitional hous<strong>in</strong>g<br />

programs dropped by two percent (3,217 fewer<br />

people) <strong>in</strong> major cities, by three percent (1,624<br />

people) <strong>in</strong> BoS and statewide CoCs, and by<br />

six percent (7,539 people) <strong>in</strong> smaller cities,<br />

counties, and regional CoCs.<br />

• Across the longer time period, 2007-2017,<br />

homelessness decl<strong>in</strong>ed across all comb<strong>in</strong>ations<br />

<strong>of</strong> CoC categories and shelter status, except<br />

for sheltered homelessness <strong>in</strong> major cities,<br />

which <strong>in</strong>creased by four percent. Unsheltered<br />

homelessness <strong>in</strong> major cities decl<strong>in</strong>ed by n<strong>in</strong>e<br />

percent over the same period.<br />

• Unsheltered homelessness <strong>in</strong> smaller cities,<br />

counties, and regional CoCs decl<strong>in</strong>ed by 38<br />

percent between 2007 and 2017.<br />

EXHIBIT 1.10: CoCs with the Largest Numbers <strong>of</strong> People Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

By CoC Category, 2017<br />

CoC<br />

Major City CoCs<br />

Total<br />

Homeless<br />

CoC<br />

Smaller City, County,<br />

and Regional CoCs<br />

Total<br />

Homeless<br />

CoC<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs<br />

Total<br />

Homeless<br />

New York City, NY 76,501 Honolulu, HI 4,959 Texas Balance <strong>of</strong> State 7,153<br />

Los Angeles City & County, CA 55,188<br />

Seattle/K<strong>in</strong>g County, WA 11,643<br />

San Diego City & County, CA 9,160<br />

District <strong>of</strong> Columbia 7,473<br />

San Jose/Santa Clara City &<br />

County, CA<br />

7,394<br />

Santa Ana/Anaheim/Orange<br />

County, CA<br />

Nassau, Suffolk Counties/<br />

Babylon/Islip/ Hunt<strong>in</strong>gton, NY<br />

Sal<strong>in</strong>as/Monterey, San Benito<br />

Counties, CA<br />

Santa Rosa/Petaluma/Sonoma<br />

County, CA<br />

St. Petersburg/Clearwater/<br />

Largo/P<strong>in</strong>ellas County, FL<br />

4,792 Oregon Balance <strong>of</strong> State 5,795<br />

3,937 Wash<strong>in</strong>gton Balance <strong>of</strong> State 4,671<br />

3,364 Colorado Balance <strong>of</strong> State 4,019<br />

2,835 Georgia Balance <strong>of</strong> State 3,716<br />

2,831 Indiana Balance <strong>of</strong> State 3,655<br />

San Francisco, CA 6,858 Pasco County, FL 2,593 Wiscons<strong>in</strong> Balance <strong>of</strong> State 3,348<br />

Las Vegas/Clark County, NV 6,490<br />

Ft Lauderdale/Broward<br />

County, FL<br />

Boston, MA 6,135 Riverside City & County, CA 2,406<br />

2,450 Ohio Balance <strong>of</strong> State 3,309<br />

North Carol<strong>in</strong>a Balance <strong>of</strong><br />

State<br />

Philadelphia, PA 5,693 Spr<strong>in</strong>gfield, MA 2,311 Connecticut Balance <strong>of</strong> State 2,610<br />

3,054<br />

17


1Estimates National by Estimates CoC<br />

<strong>Homelessness</strong> <strong>in</strong> <strong>in</strong> the the United States<br />

Data source: PIT 2007–2017; Excludes Puerto Rico and U.S. territories<br />

EXHIBIT 1.11: CoCs with the Highest and Lowest Rates <strong>of</strong> Unsheltered People<br />

Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

By CoC Category, 2017<br />

Major City CoCs<br />

Smaller City, County,<br />

and Regional CoCs<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs<br />

CoC<br />

Total<br />

Homeless<br />

%<br />

Unsheltered CoC Total<br />

Homeless<br />

%<br />

Unsheltered CoC Total<br />

Homeless<br />

%<br />

Unsheltered<br />

Highest Rates<br />

Fresno/<br />

Madera<br />

County, CA<br />

2,016 75.8<br />

Inyo, Mono,<br />

Alp<strong>in</strong>e<br />

Counties, CA<br />

121 95.9<br />

Oklahoma<br />

Balance <strong>of</strong><br />

State<br />

432 67.8<br />

Los Angeles<br />

City &<br />

County, CA<br />

55,188 74.7 Pasco<br />

County, FL<br />

2,593 93.1<br />

Hawaii<br />

Balance <strong>of</strong><br />

State<br />

2,261 65.3<br />

San Jose/<br />

Santa Clara<br />

City &<br />

County, CA<br />

7,394 73.7<br />

Lake County,<br />

CA<br />

401 93.0<br />

Oregon<br />

Balance <strong>of</strong><br />

State<br />

5,795 65.0<br />

Oakland/<br />

Alameda<br />

County, CA<br />

Las Vegas/<br />

Clark<br />

County, NV<br />

5,629 68.6<br />

Fort Pierce/<br />

St. Lucie,<br />

Indian River,<br />

Mart<strong>in</strong><br />

Counties , FL<br />

6,490 67.1 Imperial<br />

County, CA<br />

1,732 89.4<br />

1,154 88.9<br />

Colorado<br />

Balance <strong>of</strong><br />

State<br />

Nevada<br />

Balance <strong>of</strong><br />

State<br />

4,019 62.4<br />

237 61.2<br />

Boston, MA 6,135 3.0 Lenawee<br />

County, MI<br />

128 0.0<br />

Nebraska<br />

Balance <strong>of</strong><br />

State<br />

506 2.8<br />

Omaha/<br />

Council<br />

Bluffs, NE<br />

1,389 4.1<br />

Sioux City/<br />

Dakota,<br />

Woodbury<br />

Counties, IA<br />

288 0.7<br />

Iowa Balance<br />

<strong>of</strong> State<br />

1,792 2.8<br />

New York<br />

City, NY<br />

76,501 5.1 Cl<strong>in</strong>ton<br />

County, NY<br />

126 0.8<br />

Wiscons<strong>in</strong><br />

Balance <strong>of</strong><br />

State<br />

3,348 4.1<br />

Memphis/<br />

Shelby<br />

County, TN<br />

Indianapolis,<br />

IN<br />

1,426 5.5<br />

Northwest<br />

M<strong>in</strong>nesota,<br />

MN<br />

1,783 7.1 Sullivan<br />

County, NY<br />

288 1.0 Delaware<br />

Statewide<br />

167 1.2<br />

Rhode Island<br />

Statewide<br />

994 5.8<br />

1,180 5.8<br />

18


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 1.12: People Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

By CoC Category and Sheltered Status, 2007–2017<br />

200000<br />

175,911<br />

183,873<br />

177,768<br />

184,089<br />

190,151<br />

182,759<br />

Major Cities, Sheltered<br />

150000<br />

155,291 155,569 155,291<br />

150,647<br />

143,781<br />

Major Cities, Unsheltered<br />

126,634<br />

Smaller Cities, Counties, and<br />

Regional CoCs, Sheltered<br />

100000<br />

50000<br />

110,024<br />

103,329<br />

58,656<br />

38,454<br />

102,589<br />

99,952<br />

77,970 80,837<br />

62,283<br />

57,865<br />

46,898<br />

42,314<br />

84,007<br />

75,310<br />

58,313<br />

32,117<br />

99,732<br />

77,563<br />

65,728 64,525<br />

50,276<br />

55,915<br />

25,435 24,386<br />

Smaller Cities, Counties, and<br />

Regional CoCs, Unsheltered<br />

Balance <strong>of</strong> State and<br />

Statewide CoCs, Sheltered<br />

Balance <strong>of</strong> State and<br />

Statewide CoCs, Unsheltered<br />

0<br />

2007 2009 2011 2013 2015 2017<br />

EXHIBIT 1.13: Change <strong>in</strong> Numbers <strong>of</strong> People Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

By Sheltered Status and CoC Category, 2016–2017<br />

Total Change Sheltered Change Unsheltered Change<br />

# % # % # %<br />

Major Cities 13,922 5.2 -3,217 -1.7 17,139 20.8<br />

Smaller Cities, Counties, and<br />

Regional CoCs<br />

-6,386 -3.2 -7,539 -5.6 1,153 1.8<br />

Balance <strong>of</strong> State and Statewide CoCs -3,308 -4.2 -1,624 -3.1 -1,684 -6.5<br />

19


2National 1National Estimates<br />

Homeless Individuals<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2007–2017<br />

EXHIBIT 2.1: PIT Estimates <strong>of</strong><br />

Homeless Individuals<br />

By Sheltered Status, 2007–2017<br />

647,258<br />

639,784 630,227 637,077 623,788 621,553<br />

590,364<br />

576,450<br />

564,708<br />

549,928 533,742<br />

412,700 404,525 392,131 395,140 387,613 382,156 368,174 360,189 358,422 355,212 369,081<br />

213,073 204,855 215,995 212,218 205,834 199,159 203,127 209,148 205,616 198,008 193,144<br />

199,627 199,670<br />

176,136 182,922 181,779 182,997<br />

165,047<br />

151,041 152,806 157,204<br />

175,937<br />

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017<br />

All Homeless People<br />

Total Individuals<br />

Sheltered Individuals<br />

Unsheltered Individuals<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• <strong>The</strong>re were 369,081 people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> households without children,<br />

represent<strong>in</strong>g 67 percent <strong>of</strong> the total homeless<br />

population.<br />

• Almost half <strong>of</strong> all people experienc<strong>in</strong>g<br />

homelessness as <strong>in</strong>dividuals were stay<strong>in</strong>g <strong>in</strong><br />

unsheltered locations, 48 percent or 175,937<br />

people.<br />

• Women made up a somewhat greater share <strong>of</strong><br />

sheltered <strong>in</strong>dividuals (30%) than <strong>of</strong> unsheltered<br />

<strong>in</strong>dividuals (26%).<br />

• Across both sheltered and unsheltered people<br />

experienc<strong>in</strong>g homelessness as <strong>in</strong>dividuals,<br />

19 percent identified themselves as Hispanic<br />

or Lat<strong>in</strong>o. <strong>The</strong>y were much more likely to<br />

be stay<strong>in</strong>g <strong>in</strong> unsheltered locations than<br />

<strong>in</strong> shelters. Almost a quarter unsheltered<br />

<strong>in</strong>dividuals were Hispanic (23%) compared<br />

to just 15 percent <strong>of</strong> sheltered <strong>in</strong>dividuals<br />

identify<strong>in</strong>g as Hispanic.<br />

• Just over half <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness as <strong>in</strong>dividuals were white (52%<br />

or 192,671 people). An even higher percentage<br />

<strong>of</strong> unsheltered homeless <strong>in</strong>dividuals were<br />

white (55% or 96,448 people, while African<br />

Americans accounted for 36 percent <strong>of</strong> all<br />

homeless <strong>in</strong>dividuals (or 132,399 people) but<br />

only 31 percent <strong>of</strong> unsheltered <strong>in</strong>dividuals (or<br />

53,844 people).<br />

Demographic Characteristics<br />

• Most <strong>in</strong>dividuals experienc<strong>in</strong>g homelessness<br />

(88 percent) were over the age <strong>of</strong> 24. People<br />

between 18 and 24 years old made up just 10<br />

percent <strong>of</strong> homeless <strong>in</strong>dividuals, and only one<br />

percent <strong>of</strong> homeless <strong>in</strong>dividuals were under 18<br />

years old.<br />

• More than seven <strong>in</strong> ten people homeless as<br />

<strong>in</strong>dividuals were men, 71 percent or 262,011<br />

men. <strong>The</strong> rema<strong>in</strong><strong>in</strong>g 29 percent were women<br />

(just over 28 percent or 104,315 women),<br />

transgender, or people who did not identify as<br />

male, female or transgender.<br />

20


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 2.2: Demographic Characteristics <strong>of</strong> Homeless Individuals<br />

2017<br />

Characteristic<br />

All Homeless Individuals Sheltered Individuals Unsheltered Individuals<br />

# % # % # %<br />

Total homeless 369,081 100 193,144 100 175,937 100<br />

Age<br />

Under 18 5,110 1.4 2,329 1.2 2,781 1.6<br />

18 to 24 38,030 10.3 17,891 9.3 20,139 11.4<br />

Over 24 325,941 88.3 172,924 89.5 153,017 87.0<br />

Gender<br />

Female 104,315 28.3 58,017 30.0 46,298 26.3<br />

Male 262,011 71.0 133,964 69.4 128,047 72.8<br />

Transgender 2,007 0.5 1,030 0.5 977 0.6<br />

Other Gender 748 0.2 133 0.1 615 0.3<br />

Ethnicity<br />

Non-Hispanic 299,960 81.3 164,692 85.3 135,268 76.9<br />

Hispanic 69,121 18.7 28,452 14.7 40,669 23.1<br />

Race<br />

White 192,671 52.2 96,223 49.8 96,448 54.8<br />

African American 132,399 35.9 78,555 40.7 53,844 30.6<br />

Asian 4,841 1.3 2,008 1.0 2,833 1.6<br />

Native American 12,248 3.3 4,785 2.5 7,463 4.2<br />

Pacific Islander 4,223 1.1 1,531 0.8 2,692 1.5<br />

Multiple Races 22,699 6.2 10,042 5.2 12,657 7.2<br />

EXHIBIT 2.3: Change <strong>in</strong> Numbers <strong>of</strong> Homeless Individuals<br />

By Sheltered Status, 2007–2017<br />

Change 2016–2017 Change 2010–2017 Change 2007–2017<br />

# % # % # %<br />

Total Homeless Individuals 13,869 3.9 -26,059 -6.6 -43,619 -10.6<br />

Sheltered Individuals -4,864 -2.5 -19,074 -9.0 -19,929 -9.4<br />

Unsheltered Individuals 18,733 11.9 -6,985 -3.8 -23,690 -11.9<br />

EXHIBIT 2.4: Change <strong>in</strong> Numbers <strong>of</strong> Homeless Individuals<br />

By Age and Sheltered Status, 2016-2017<br />

Total Change Sheltered Change Unsheltered Change<br />

# % # % # %<br />

Under 18 997 24.2 -126 -5.1 1,123 67.7<br />

18 to 24 4,179 12.3 -480 -2.6 4,659 30.1<br />

Over 24 8,693 2.7 -4,258 -2.4 12,951 9.2<br />

21


2National 1National Estimates<br />

Homeless Individuals<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2007–2017<br />

S<strong>in</strong>ce 2016<br />

• <strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness as <strong>in</strong>dividuals—that is, <strong>in</strong><br />

households without children--<strong>in</strong>creased<br />

by four percent (13,869 more <strong>in</strong>dividuals)<br />

between 2016 and 2017. This <strong>in</strong>crease was<br />

driven entirely by an <strong>in</strong>crease <strong>in</strong> the number <strong>of</strong><br />

unsheltered <strong>in</strong>dividuals (a 12% rise). Sheltered<br />

homelessness among <strong>in</strong>dividuals decreased by<br />

4,864 people (or 3%).<br />

• <strong>Homelessness</strong> among <strong>in</strong>dividuals <strong>in</strong>creased<br />

across all age groups. <strong>The</strong> number <strong>of</strong> children<br />

(people under 18) experienc<strong>in</strong>g homelessness<br />

as <strong>in</strong>dividuals <strong>in</strong>creased by 997, the number<br />

<strong>of</strong> people between the ages <strong>of</strong> 18 and 24<br />

<strong>in</strong>creased by 4,179, and the number <strong>of</strong> people<br />

homeless as <strong>in</strong>dividuals over the age <strong>of</strong> 24<br />

<strong>in</strong>creased by 8,693.<br />

• For each age group, <strong>in</strong>creases were driven<br />

entirely by <strong>in</strong>creases <strong>in</strong> the number <strong>of</strong> people<br />

experienc<strong>in</strong>g homelessness <strong>in</strong> unsheltered<br />

locations, while the number <strong>of</strong> sheltered<br />

<strong>in</strong>dividuals decl<strong>in</strong>ed across all age groups.<br />

• For people over the age <strong>of</strong> 24 experienc<strong>in</strong>g<br />

homelessness as <strong>in</strong>dividuals, the unsheltered<br />

number <strong>in</strong>creased by n<strong>in</strong>e percent (12,951<br />

people), while the number <strong>of</strong> those sheltered<br />

decreased by two percent (or 4,258 fewer<br />

people),<br />

<strong>The</strong> <strong>in</strong>crease <strong>in</strong> the number <strong>of</strong><br />

people experienc<strong>in</strong>g homelessness<br />

as <strong>in</strong>dividuals was driven entirely<br />

by an <strong>in</strong>crease <strong>in</strong> the number <strong>of</strong><br />

unsheltered <strong>in</strong>dividuals (a 12% rise).<br />

• <strong>The</strong>re were five percent more women<br />

experienc<strong>in</strong>g homelessness as <strong>in</strong>dividuals <strong>in</strong><br />

2017 than <strong>in</strong> 2016, driven by a 14 percent rise <strong>in</strong><br />

unsheltered women. <strong>The</strong>re were three percent<br />

more men and 11 percent more unsheltered<br />

men. <strong>The</strong> only group for whom the rise <strong>in</strong> the<br />

sheltered number drove an overall <strong>in</strong>crease<br />

was people who identified as transgender (310<br />

more transgender <strong>in</strong>dividuals <strong>in</strong> shelter <strong>in</strong> 2017<br />

than <strong>in</strong> 2016).<br />

• <strong>The</strong> number <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness as <strong>in</strong>dividuals who identified<br />

as Hispanic or Lat<strong>in</strong>o <strong>in</strong>creased by 14 percent<br />

overall, compared to two percent for non-<br />

Hispanic or Lat<strong>in</strong>o <strong>in</strong>dividuals. Unsheltered<br />

homelessness among Hispanic <strong>in</strong>dividuals<br />

<strong>in</strong>creased at a greater rate than among non-<br />

Hispanic <strong>in</strong>dividuals (by 35% compared<br />

to 6%). At the same time, the Hispanic<br />

population experienced decl<strong>in</strong>es <strong>in</strong> sheltered<br />

homelessness at a greater rate than non-<br />

Hispanic <strong>in</strong>dividuals (a 7% decl<strong>in</strong>e compared to<br />

a 2% decl<strong>in</strong>e).<br />

• <strong>Homelessness</strong> among African American<br />

<strong>in</strong>dividuals <strong>in</strong>creased by six percent overall<br />

(or 7,299 people) and by 27 percent among<br />

the unsheltered population (or 11,399 people).<br />

<strong>Homelessness</strong> among white <strong>in</strong>dividuals<br />

<strong>in</strong>creased by two percent overall (or 2,856<br />

people) and by seven percent among the<br />

unsheltered population (or 5,944 people).<br />

S<strong>in</strong>ce 2007<br />

• Over a longer time period, 2007-2017, <strong>in</strong>dividual<br />

homelessness decl<strong>in</strong>ed by 11 percent (43,619<br />

fewer people). This decl<strong>in</strong>e was comprised<br />

<strong>of</strong> both a decl<strong>in</strong>e <strong>in</strong> the number <strong>of</strong> homeless<br />

<strong>in</strong>dividuals <strong>in</strong> unsheltered locations – which<br />

dropped by 12 percent (23,690 fewer people) –<br />

and <strong>in</strong> sheltered locations, which dropped by<br />

n<strong>in</strong>e percent (or 19,929 people).<br />

22


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

23


2State 1National Estimates<br />

Homeless Individuals<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2007–2017; Excludes Puerto Rico and U.S. territories<br />

EXHIBIT 2.5: Estimates <strong>of</strong> Homeless Individuals<br />

By State, 2017<br />

AK<br />

1,354<br />

WA<br />

14,781<br />

OR<br />

10,434 ID<br />

1,309<br />

NV<br />

7,281 UT<br />

1,882<br />

CA<br />

112,756<br />

AZ<br />

6,488<br />

MT<br />

987<br />

WY<br />

622<br />

CO<br />

7,571<br />

NM<br />

1,865<br />

ME, 1,352<br />

ND<br />

VT, 697<br />

832 MN<br />

NH, 776<br />

3,899<br />

NY MA, 6,267<br />

SD<br />

WI<br />

611<br />

2,645 MI<br />

37,390 RI, 802<br />

5,628<br />

CT, 2,208<br />

IA<br />

PA<br />

NE 1,500 IL OH 8,271 NJ, 5,433<br />

1,698<br />

6,894 IN 6,688<br />

DE, 615<br />

3,623 WV MD, 5,077<br />

1,032<br />

VA<br />

KS MO<br />

KY 4,028<br />

DC, 3,583<br />

1,423 3,768 3,032<br />

NC, 6,044<br />

Share <strong>of</strong> Homeless Individuals<br />

OK<br />

TN, 6,137<br />

AR<br />

2,824<br />

SC<br />

Less than 1%<br />

2,068 AL 2,896<br />

1%–2.9%<br />

2,985 GA<br />

MS 7,422<br />

3%–6%<br />

TX<br />

1,100<br />

16,708<br />

LA<br />

Greater than 6%<br />

2,559<br />

FL 22,768<br />

HI<br />

4,535<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• California accounted for 31 percent <strong>of</strong> all people<br />

experienc<strong>in</strong>g homelessness as <strong>in</strong>dividuals<br />

<strong>in</strong> the United States and 51 percent <strong>of</strong> all<br />

unsheltered <strong>in</strong>dividuals.<br />

• More than half <strong>of</strong> all the nation’s homeless<br />

<strong>in</strong>dividuals were <strong>in</strong> four states: California (31%<br />

or 112,756 people), New York (10% or 37,390<br />

people), Florida (6% or 22,768 people), and<br />

Texas (5% or 16,708).<br />

• In eight states, more than half <strong>of</strong> <strong>in</strong>dividuals<br />

experienc<strong>in</strong>g homelessness were stay<strong>in</strong>g <strong>in</strong><br />

unsheltered locations: California (78%), Hawaii<br />

(72%), Nevada (63%), Oregon (59%), Mississippi,<br />

(59%), Arkansas (55%), Wash<strong>in</strong>gton (54%), and<br />

Florida (52%).<br />

Changes Over Time<br />

• Between 2016 and 2017, the number <strong>of</strong><br />

<strong>in</strong>dividuals experienc<strong>in</strong>g homelessness<br />

<strong>in</strong>creased <strong>in</strong> 22 states. <strong>The</strong> largest absolute<br />

<strong>in</strong>creases were <strong>in</strong> California (15,096 people),<br />

New York (2,075 people), and Colorado (1,121<br />

people). <strong>The</strong> states with the largest percentage<br />

<strong>in</strong>creases were North Dakota (26%), Wyom<strong>in</strong>g<br />

(20%), and New Mexico (20%).<br />

• <strong>The</strong> number <strong>of</strong> homeless <strong>in</strong>dividuals decl<strong>in</strong>ed<br />

between 2016 and 2017 <strong>in</strong> 28 states and the<br />

District <strong>of</strong> Columbia. <strong>The</strong> largest absolute<br />

decl<strong>in</strong>es occurred <strong>in</strong> Georgia (1,843 fewer<br />

people), Florida (1,433 fewer people), and<br />

South Carol<strong>in</strong>a (862 fewer people). <strong>The</strong> largest<br />

percentage decl<strong>in</strong>es were <strong>in</strong> South Carol<strong>in</strong>a<br />

(23%), Georgia (20%), and Louisiana (19%).<br />

• In 23 states, the number <strong>of</strong> <strong>in</strong>dividuals<br />

experienc<strong>in</strong>g homelessness <strong>in</strong>creased between<br />

2007 and 2017. <strong>The</strong> largest <strong>in</strong>crease was <strong>in</strong><br />

New York (9,334 more people), a 33 percent<br />

rise. California and Wash<strong>in</strong>gton also had large<br />

<strong>in</strong>creases (1,804 and 1,492 more people).<br />

• Dur<strong>in</strong>g the same ten-year period, 27 states and<br />

the District <strong>of</strong> Columbia experienced a decl<strong>in</strong>e<br />

<strong>in</strong> the number <strong>of</strong> homeless <strong>in</strong>dividuals. <strong>The</strong><br />

largest decl<strong>in</strong>es were experienced <strong>in</strong> Florida<br />

(10,272), Texas (9,598), and Georgia (5,099).<br />

24


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 2.6: States with the Highest and Lowest Rates <strong>of</strong> Unsheltered Homeless Individuals,<br />

By State, 2017<br />

Highest Rates<br />

CALIFORNIA<br />

HAWAII<br />

NEVADA<br />

OREGON<br />

MISSISSIPPI<br />

77.8%<br />

72.3%<br />

62.6%<br />

58.9%<br />

58.9%<br />

112,756 Homeless<br />

87,743 Unsheltered<br />

4,535 Homeless<br />

3,277 Unsheltered<br />

7,281 Homeless<br />

4,560 Unsheltered<br />

10,434 Homeless<br />

6,141 Unsheltered<br />

1,100 Homeless<br />

648 Unsheltered<br />

Lowest Rates<br />

IOWA<br />

NEBRASKA<br />

MAINE<br />

DELAWARE<br />

RHODE ISLAND<br />

6.9%<br />

7.1%<br />

8.0%<br />

8.5%<br />

8.6%<br />

1,500 Homeless<br />

104 Unsheltered<br />

1,698 Homeless<br />

120 Unsheltered<br />

1,352 Homeless<br />

108 Unsheltered<br />

615 Homeless<br />

52 Unsheltered<br />

802 Homeless<br />

69 Unsheltered<br />

25


2State 1National Estimates<br />

Homeless Individuals<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2007–2017; Excludes Puerto Rico and U.S. territories<br />

EXHIBIT 2.7: Largest Changes <strong>in</strong> Homeless Individuals<br />

By State, 2007–2017<br />

Largest Increases<br />

2016–2017 2007–2017<br />

CALIFORNIA 15,096 / 15.5% NEW YORK 9,334 / 33.3%<br />

NEW YORK 2,075 / 5.9% CALIFORNIA 1,804 / 1.6%<br />

COLORADO 1,121 / 17.4% WASHINGTON 1,492 / 11.2%<br />

OREGON 1,055 / 11.2% HAWAII 1,200 / 36.0%<br />

WASHINGTON 881 / 6.3% NEVADA 804 / 12.4%<br />

Largest Decreases a<br />

GEORGIA -1,843 / -19.9% FLORIDA -10,272 / -31.1%<br />

FLORIDA -1,433 / -5.9% TEXAS -9,598 / -36.5%<br />

SOUTH CAROLINA -862 / -22.9% GEORGIA -5,099 / -40.7%<br />

LOUISIANA -617 / -19.4% NEW JERSEY -3,539 / -39.4%<br />

TENNESSEE -515 / -7.7% ARIZONA -3,532 / -35.2%<br />

a<br />

Due to methodological changes, Michigan was excluded from the list <strong>of</strong> largest decreases from 2007-2016.<br />

26


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

27


2Estimates 1National Estimates by CoC<br />

Homeless Individuals<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2007–2017; Excludes Puerto Rico and U.S. territories<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• Major cities accounted for more than half<br />

<strong>of</strong> all people experienc<strong>in</strong>g homelessness as<br />

<strong>in</strong>dividuals (52% or 282,491 people). Smaller<br />

cities, counties, and regional CoCs accounted<br />

for 35 percent (or 190,077 people), and BoS or<br />

statewide CoCs had 13 percent (46,254 people).<br />

• Three <strong>of</strong> the ten major cities with the<br />

largest numbers <strong>of</strong> <strong>in</strong>dividuals experienc<strong>in</strong>g<br />

homelessness were not also among the cities<br />

with the largest homeless populations overall.<br />

Oakland, Denver, and Phoenix replaced Boston,<br />

Philadelphia, and the District <strong>of</strong> Columbia as<br />

the major cities with the largest numbers <strong>of</strong><br />

homeless <strong>in</strong>dividuals.<br />

• Major cities accounted for a larger share <strong>of</strong> the<br />

national total <strong>of</strong> unsheltered <strong>in</strong>dividuals than <strong>of</strong><br />

sheltered <strong>in</strong>dividuals (56% compared to 48%).<br />

• Three major cities reported that more than<br />

80 percent <strong>of</strong> homeless <strong>in</strong>dividuals were<br />

unsheltered. All three were <strong>in</strong> California:<br />

Fresno (88%), Los Angeles (84%), and San Jose<br />

(82%).<br />

• Of smaller cities, counties, and regional CoCs,<br />

n<strong>in</strong>e reported <strong>in</strong>dividual unsheltered rates<br />

exceed<strong>in</strong>g 90 percent. Two <strong>of</strong> the highest rates<br />

were <strong>in</strong> the CoC abutt<strong>in</strong>g Lake Okeechobee<br />

(Hendry, Hardee, Highlands counties) <strong>in</strong><br />

Florida (98%) and <strong>in</strong> the Inyo, Mono, and Alp<strong>in</strong>e<br />

counties <strong>in</strong> California, which border Nevada<br />

(97%).<br />

• <strong>The</strong> lowest rates <strong>of</strong> unsheltered homeless<br />

<strong>in</strong>dividuals <strong>in</strong> smaller cities, counties, and<br />

regional CoCs were <strong>in</strong> Sioux City/Dakota<br />

Woodbury Counties, IA at one percent and<br />

Sullivan County, NY at two percent.<br />

• <strong>The</strong> Nebraska BoS had the lowest rates <strong>of</strong><br />

unsheltered <strong>in</strong>dividuals, at five percent. Iowa<br />

BoS also reported low rates, at six percent.<br />

EXHIBIT 2.8: Homeless Individuals<br />

By CoC Category and Sheltered Status, 2017<br />

All Homeless<br />

Individuals<br />

Sheltered<br />

Individuals<br />

Unsheltered<br />

Individuals<br />

0% 100%<br />

Major Cities<br />

52.1<br />

48.4<br />

37.6<br />

56.1 32.7<br />

Smaller City, County, and Regional CoCs<br />

Balance <strong>of</strong> State and Statewide CoCs<br />

35.3 12.7<br />

14.1<br />

11.1<br />

Cont<strong>in</strong>uums <strong>of</strong> Care (CoC) Were<br />

Divided <strong>in</strong>to Three Geographic<br />

Categories<br />

Major city CoCs (n=48) cover the 50 largest<br />

cities <strong>in</strong> the United States. In two cases<br />

(Phoenix and Mesa, AZ, and Arl<strong>in</strong>gton and<br />

Fort Worth, TX), two large cities were located<br />

<strong>in</strong> the same CoC.<br />

Smaller city, county, and regional CoCs<br />

(n=306) are jurisdictions that are neither one<br />

<strong>of</strong> the 50 largest cities <strong>in</strong> the United States nor<br />

Balance <strong>of</strong> State and Statewide CoCs.<br />

Balance <strong>of</strong> State (BoS) and statewide CoCs<br />

(n=40) are typically composed <strong>of</strong> multiple<br />

rural counties or represent an entire state.<br />

28


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 2.9: CoCs with the Largest Numbers <strong>of</strong> Homeless Individuals<br />

By CoC Category, 2017<br />

CoC<br />

Major City CoCs<br />

Los Angeles City & County, CA<br />

Total<br />

Individuals<br />

47,082<br />

CoC<br />

Smaller City, County,<br />

and Regional CoCs<br />

Santa Ana/Anaheim/Orange<br />

County, CA<br />

Total<br />

Individuals<br />

CoC<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs<br />

Total<br />

Individuals<br />

3,527 Texas Balance <strong>of</strong> State 4,808<br />

New York City, NY 31,124 Honolulu, HI 3,112 Oregon Balance <strong>of</strong> State 3,902<br />

Seattle/K<strong>in</strong>g County, WA<br />

San Diego City and County, CA<br />

San Jose/Santa Clara City &<br />

County, CA<br />

EXHIBIT 2.10: CoCs with the Highest and Lowest Rates <strong>of</strong> Unsheltered Homeless Individuals<br />

By CoC Category, 2017<br />

CoC<br />

Highest Rates<br />

Fresno/Madera<br />

County, CA<br />

Los Angeles City &<br />

County, CA<br />

San Jose/Santa Clara<br />

City & County, CA<br />

Oakland/Alameda<br />

County, CA<br />

San Diego City &<br />

County, CA<br />

Lowest Rates<br />

Omaha/Council<br />

Bluffs, NE<br />

Major City CoCs<br />

Total<br />

Individuals<br />

8,810<br />

7,571<br />

6,319<br />

Smaller City, County,<br />

and Regional CoCs a<br />

%<br />

Unsheltered CoC Total<br />

Individuals<br />

1,742 87.8<br />

Hendry, Hardee,<br />

Highlands Counties,<br />

FL<br />

Inyo, Mono, Alp<strong>in</strong>e<br />

Counties, CA<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs<br />

%<br />

Unsheltered CoC Total<br />

Individuals<br />

377 97.6<br />

Hawaii Balance<br />

<strong>of</strong> State<br />

47,082 84.3 102<br />

Georgia Balance<br />

97.1<br />

<strong>of</strong> State<br />

6,319 81.5 Lake County, CA 294<br />

Nevada Balance<br />

96.6<br />

<strong>of</strong> State<br />

4,918 78.0<br />

Ft. Walton Beach/<br />

Okaloosa, Walton<br />

Counties, FL<br />

247 94.3 Oklahoma<br />

Balance <strong>of</strong> State<br />

7,571 70.4 Imperial County, CA 1,034 94.2<br />

1,037 5.5<br />

Sioux City/<br />

Dakota, Woodbury<br />

Counties, IA<br />

Oregon Balance<br />

<strong>of</strong> State<br />

159 1.3 Nebraska<br />

Balance <strong>of</strong> State<br />

Boston, MA 2,492 7.5 Sullivan County, NY 114<br />

Iowa Balance <strong>of</strong><br />

1.8<br />

State<br />

Memphis/Shelby<br />

County, TN<br />

915 8.6<br />

Monroe City &<br />

County, MI<br />

122<br />

Ma<strong>in</strong>e Balance<br />

2.5<br />

<strong>of</strong> State<br />

Indianapolis, IN 1,283 9.8 Bergen County, NJ 182 2.7 Delaware<br />

Statewide<br />

New York, NY 31,124 12.6<br />

Somerset County,<br />

NJ<br />

176<br />

Rhode Island<br />

2.8<br />

Statewide<br />

Excludes CoCs with less than 100 total homeless people.<br />

Sal<strong>in</strong>as/Monterey, San Benito<br />

Counties, CA<br />

Santa Rosa/Petaluma/Sonoma<br />

County, CA<br />

St. Petersburg/Clearwater/<br />

Largo/P<strong>in</strong>ellas County, FL<br />

2,719 Wash<strong>in</strong>gton Balance <strong>of</strong> State 2,875<br />

2,509 Colorado Balance <strong>of</strong> State 2,568<br />

2,466 Indiana Balance <strong>of</strong> State 2,340<br />

San Francisco, CA 6,257 Riverside City & County, CA 2,172 Georgia Balance <strong>of</strong> State 2,219<br />

Las Vegas/Clark County, NV<br />

Oakland/Alameda County, CA<br />

Denver, CO<br />

Phoenix/Mesa/Maricopa<br />

County, AZ<br />

Ft. Lauderdale/Broward<br />

6,190<br />

County, FL<br />

Watsonville/Santa Cruz City &<br />

4,918<br />

County, CA<br />

San Bernard<strong>in</strong>o City & County,<br />

4,031<br />

CA<br />

Santa Maria/Santa Barbara<br />

3,805<br />

County, CA<br />

2,037 North Carol<strong>in</strong>a Balance <strong>of</strong> State 1,911<br />

1,846 Ohio Balance <strong>of</strong> State 1,779<br />

1,432 Connecticut Balance <strong>of</strong> State 1,778<br />

1,422 Wiscons<strong>in</strong> Balance <strong>of</strong> State 1,499<br />

%<br />

Unsheltered<br />

1,423 82.8<br />

2,219 76.8<br />

180 75.0<br />

151 72.2<br />

3,902 65.5<br />

276 5.1<br />

807 6.2<br />

1,352 8.0<br />

615 8.5<br />

802 8.6<br />

29


2<br />

Data<br />

1National Estimates Estimates by CoC<br />

Homeless Individuals<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

source: PIT 2007–2017; Excludes Puerto Rico and U.S. territories<br />

Changes Over Time<br />

• Between 2016 and 2017 <strong>in</strong>dividual homelessness<br />

<strong>in</strong>creased by n<strong>in</strong>e percent (15,540 people) <strong>in</strong> the<br />

nation’s major cities. This <strong>in</strong>crease was driven by<br />

a 22 percent <strong>in</strong>crease <strong>in</strong> unsheltered <strong>in</strong>dividuals<br />

(17,663 more people). Los Angeles accounted for<br />

half (8,758) <strong>of</strong> the entire <strong>in</strong>crease <strong>in</strong> unsheltered<br />

<strong>in</strong>dividuals.<br />

• After Los Angeles, New York reported the<br />

second largest <strong>in</strong>crease, with 2,159 more<br />

<strong>in</strong>dividuals experienc<strong>in</strong>g homelessness. This<br />

<strong>in</strong>crease was evenly split between people<br />

stay<strong>in</strong>g <strong>in</strong> sheltered and unsheltered locations.<br />

• Smaller cities, counties, and regional CoCs<br />

saw a slight decl<strong>in</strong>e <strong>in</strong> the number <strong>of</strong> people<br />

experienc<strong>in</strong>g homelessness as <strong>in</strong>dividuals (1%<br />

or 1,253 fewer people) s<strong>in</strong>ce 2016. <strong>The</strong>re was a<br />

three percent decl<strong>in</strong>e <strong>in</strong> the number <strong>of</strong> sheltered<br />

<strong>in</strong>dividuals (2,499 fewer people), which <strong>of</strong>fset a<br />

two percent <strong>in</strong>crease (1,246 more people) <strong>in</strong> the<br />

number <strong>of</strong> unsheltered <strong>in</strong>dividuals.<br />

• In BoS and statewide CoCs, <strong>in</strong>dividual<br />

homelessness from 2016 to 2017 rema<strong>in</strong>ed flat.<br />

• From 2007 to 2017, smaller cities, counties, and<br />

regional CoCs experienced the largest decl<strong>in</strong>es<br />

<strong>in</strong> the number <strong>of</strong> homeless <strong>in</strong>dividuals, with<br />

34,203 fewer people (or 21%). <strong>The</strong> number <strong>of</strong><br />

unsheltered <strong>in</strong>dividuals <strong>in</strong> this CoC category<br />

decl<strong>in</strong>ed by 27 percent (or 21,334) dur<strong>in</strong>g the<br />

same time period.<br />

• BoS and statewide CoCs experienced decl<strong>in</strong>es<br />

<strong>in</strong> homeless <strong>in</strong>dividuals between 2007 and 2017,<br />

with 13 percent fewer homeless <strong>in</strong>dividuals,<br />

n<strong>in</strong>e percent fewer sheltered <strong>in</strong>dividuals, and 17<br />

percent fewer unsheltered <strong>in</strong>dividuals <strong>in</strong> 2017<br />

than <strong>in</strong> 2007.<br />

• <strong>The</strong> number <strong>of</strong> homeless <strong>in</strong>dividuals <strong>in</strong> major<br />

cities <strong>in</strong> 2017 was slightly lower than the number<br />

<strong>of</strong> homeless <strong>in</strong>dividuals <strong>in</strong> 2007 (1% fewer<br />

people). However, <strong>in</strong> recent years the number <strong>of</strong><br />

homeless <strong>in</strong>dividuals, unsheltered <strong>in</strong>dividuals<br />

<strong>in</strong> particular, <strong>in</strong> major cities has risen sharply.<br />

In 2017 there were only two percent more<br />

unsheltered <strong>in</strong>dividuals <strong>in</strong> major cities than there<br />

were <strong>in</strong> 2007 but 47 percent more than there<br />

were <strong>in</strong> 2014, the year after which the number<br />

began to rise.<br />

Between 2016 and 2017, <strong>in</strong>dividual<br />

homelessness <strong>in</strong>creased by n<strong>in</strong>e<br />

percent (15,540 people) <strong>in</strong> the<br />

nation’s major cities. Los Angeles<br />

accounted for 60% <strong>of</strong> this <strong>in</strong>crease.<br />

30


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 2.11: Individuals Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

By CoC Category and Sheltered Status, 2007–2017<br />

120000<br />

Major Cities,<br />

Sheltered<br />

100000<br />

80000<br />

60000<br />

101,432<br />

96,989<br />

92,943 92,602<br />

95,148<br />

85,071 83,568 83,583<br />

80,524<br />

77,091<br />

74,522<br />

77,949<br />

70,731<br />

75,413<br />

73,696<br />

66,338<br />

97,118<br />

78,848<br />

73,420<br />

56,927<br />

97,038<br />

93,039<br />

72,202<br />

56,615<br />

Major Cities,<br />

Unsheltered<br />

Smaller Cities, Counties,<br />

and Regional CoCs,<br />

Sheltered<br />

Smaller Cities, Counties,<br />

and Regional CoCs,<br />

Unsheltered<br />

40000<br />

20000<br />

29,760<br />

23,078<br />

29,775<br />

24,587<br />

28,404<br />

27,104<br />

28,828 28,542<br />

27,013<br />

24,941<br />

19,024 19,241<br />

Balance <strong>of</strong> State and<br />

Statewide CoCs,<br />

Sheltered<br />

Balance <strong>of</strong> State and<br />

Statewide CoCs,<br />

Unsheltered<br />

0<br />

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017<br />

EXHIBIT 2.12: Change <strong>in</strong> Numbers <strong>of</strong> Homeless Individuals<br />

By Sheltered Status and CoC Category, 2016–2017<br />

Total Change Sheltered Change Unsheltered Change<br />

# % # % # %<br />

Major Cities 15,540 8.9 -2,123 -2.2 17,663 22.3<br />

Smaller City, County, and Regional<br />

CoCs<br />

-1,253 -1.0 -2,499 -3.3 1,246 2.3<br />

Balance <strong>of</strong> State and Statewide CoCs -17 0.0 -159 -0.6 142 0.7<br />

31


3National 1National Estimates<br />

<strong>Homelessness</strong> Families <strong>in</strong> the with United Children States<br />

Data source: PIT 2007–2017<br />

EXHIBIT 3.1: PIT Estimates <strong>of</strong> Homeless<br />

People <strong>in</strong> Families with Children<br />

By Sheltered Status, 2007–2017<br />

234,558<br />

238,096 236,175<br />

222,190<br />

241,937<br />

235,259<br />

239,397<br />

206,286<br />

191,325 190,996 216,261 194,716<br />

184,661<br />

181,506<br />

191,571 191,903<br />

178,328<br />

187,313<br />

186,482<br />

185,824175,563167,723<br />

78,535 75,750<br />

78,514 79,442 77,184 77,155<br />

70,957 67,613 64,197 61,265 57,971<br />

56,230 53,753 50,783 50,612 49,693 48,401<br />

30,619<br />

20,462 19,153 16,938<br />

24,358<br />

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017<br />

Total Persons <strong>in</strong> Families<br />

Family Households<br />

Sheltered Persons <strong>in</strong> Families<br />

Unsheltered Persons <strong>in</strong> Families<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• 184,661 people were homeless <strong>in</strong> 57,971<br />

families with children, represent<strong>in</strong>g one-third<br />

250000<br />

(33%) <strong>of</strong> the total homeless population <strong>in</strong> 2017.<br />

• More than 90 percent <strong>of</strong> homeless people <strong>in</strong><br />

200000<br />

families with children were sheltered (167,723<br />

people). <strong>The</strong>re were 16,938 people <strong>in</strong> families<br />

150000 with children who were counted <strong>in</strong> unsheltered<br />

locations.<br />

100000 • On average, a homeless family household<br />

consisted <strong>of</strong> three people.<br />

50000<br />

Demographic Characteristics<br />

• Children under the age <strong>of</strong> 18 made up 59<br />

percent <strong>of</strong> people experienc<strong>in</strong>g homelessness<br />

<strong>in</strong> families. Most <strong>of</strong> the adults were 25 years <strong>of</strong><br />

age or older.<br />

• Children were especially likely to be sheltered<br />

rather than unsheltered, with only eight<br />

percent <strong>of</strong> children found <strong>in</strong> unsheltered<br />

locations.<br />

• <strong>The</strong> racial composition <strong>of</strong> people <strong>in</strong> families<br />

with children varied by whether they were<br />

sheltered or unsheltered. More than half <strong>of</strong><br />

sheltered people <strong>in</strong> families with children<br />

were African American (53%), while African<br />

Americans represented just 21 percent <strong>of</strong> the<br />

unsheltered population. About a third (35%)<br />

<strong>of</strong> sheltered people <strong>in</strong> families with children<br />

were white, while people identify<strong>in</strong>g as white<br />

accounted for 59 percent <strong>of</strong> the unsheltered<br />

population.<br />

• More than 25 percent <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> families with children were<br />

Hispanic or Lat<strong>in</strong>o (27%), and this was higher<br />

than the Hispanic share <strong>of</strong> people experienc<strong>in</strong>g<br />

homelessness as <strong>in</strong>dividuals (18%). Hispanics<br />

comprised a slightly larger share <strong>of</strong> sheltered<br />

people <strong>in</strong> families (28%) and a smaller share <strong>of</strong><br />

those <strong>in</strong> unsheltered locations (22%).<br />

0<br />

EXHIBIT 3.2: Parent<strong>in</strong>g Youth<br />

By Sheltered Status, 2017<br />

People <strong>in</strong> Parent<strong>in</strong>g Youth<br />

Families<br />

Sheltered People <strong>in</strong><br />

Parent<strong>in</strong>g Youth Families<br />

Unsheltered People <strong>in</strong><br />

Parent<strong>in</strong>g Youth Families<br />

# % # % # %<br />

Total Parents under 25 9,436 100 8,859 100 577 100<br />

Parent<strong>in</strong>g Youth (Under 18) 96 1.0 83 0.9 13 2.3<br />

Parent<strong>in</strong>g Youth Age (18 to 24) 9,340 99.0 8,776 99.1 564 97.7<br />

Children <strong>of</strong> Parent<strong>in</strong>g Youth 12,152 11,433 719<br />

32


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 3.3: Demographic Characteristics <strong>of</strong> Homeless People <strong>in</strong> Families with Children<br />

2017<br />

Characteristic<br />

People <strong>in</strong> Families with<br />

Children<br />

Age<br />

All Homeless People <strong>in</strong> Families Sheltered People <strong>in</strong> Families Unsheltered People <strong>in</strong> Families<br />

# % # % # %<br />

184,661 100 167,723 100 16,938 100<br />

Under 18 109,719 59.4 100,960 60.2 8,759 51.7<br />

18 – 24 15,408 8.3 13,851 8.3 1,557 9.2<br />

Over 24 59,534 32.2 52,912 31.5 6,622 39.1<br />

Gender<br />

Female 111,394 60.3 102,589 61.2 8,805 52.0<br />

Male 73,027 39.5 64,971 38.7 8,056 47.6<br />

Transgender 85 0.0 70 0.0 15 0.1<br />

Don’t identify as male,<br />

female, or transgender<br />

Ethnicity<br />

155 0.1 93 0.1 62 0.4<br />

Non-Hispanic 134,363 72.8 121,175 72.2 13,188 77.9<br />

Hispanic 50,298 27.2 46,548 27.8 3,750 22.1<br />

Race<br />

White 68,308 37.0 58,266 34.7 10,042 59.3<br />

African American 92,538 50.1 88,934 53.0 3,604 21.3<br />

Asian 1,919 1.0 1,695 1.0 224 1.3<br />

Native American 4,548 2.5 3,939 2.3 609 3.6<br />

Pacific Islander 4,302 2.3 2,954 1.8 1,348 8.0<br />

Multiple Races 13,046 7.1 11,935 7.1 1,111 6.6<br />

EXHIBIT 3.4: Change <strong>in</strong> Number <strong>of</strong> Homeless People <strong>in</strong> Families with Children<br />

By Sheltered Status, 2007-2017<br />

Change 2016-2017 Change 2010-2017 Change 2007-2017<br />

# % # % # %<br />

Persons <strong>in</strong> families -10,055 -5.2 -57,276 -23.7 -49,897 -21.3<br />

Sheltered -7,840 -4.5 -23,602 -12.3 -10,605 -5.9<br />

Unsheltered -2,215 -11.6 -33,674 -66.5 -39,292 -69.9<br />

Family households -3,294 -5.4 -21,471 -27.0 -20,564 -26.2<br />

EXHIBIT 3.5: Change <strong>in</strong> Numbers <strong>of</strong> Homeless People <strong>in</strong> Families with Children<br />

By Age and Sheltered Status, 2016–2017<br />

Total Change Sheltered Change Unsheltered Change<br />

# % # % # %<br />

Under 18 -6,987 -6.0 -5,451 -5.1 -1,536 -14.9<br />

18 to 24 -742 -4.6 -1,059 -7.1 317 25.6<br />

Over 24 -2,326 -3.8 -1,330 -2.5 -996 -13.1<br />

33


3National 1National Estimates<br />

<strong>Homelessness</strong> Families <strong>in</strong> the with United Children States<br />

Data source: PIT 2007–2017<br />

Additional Characteristics<br />

• Only five percent <strong>of</strong> homeless people <strong>in</strong> families<br />

with children were <strong>in</strong> households with chronic<br />

patterns <strong>of</strong> homelessness (8,457 people). Those<br />

with chronic patterns <strong>of</strong> homelessness were<br />

more likely to be unsheltered than people <strong>in</strong><br />

homeless families overall, with three <strong>in</strong> ten<br />

(29% or 2,477 people) currently stay<strong>in</strong>g <strong>in</strong><br />

unsheltered locations.<br />

• Approximately 17 percent <strong>of</strong> people <strong>in</strong> families<br />

who were under the age <strong>of</strong> 25 were people <strong>in</strong><br />

parent<strong>in</strong>g youth households. Nearly all <strong>of</strong> these<br />

parents (99%) were between 18 and 24 years <strong>of</strong><br />

age. 2<br />

• Only six percent <strong>of</strong> people <strong>in</strong> families with a<br />

parent under 25 were found <strong>in</strong> unsheltered<br />

locations.<br />

S<strong>in</strong>ce 2016<br />

• <strong>The</strong> number <strong>of</strong> homeless people <strong>in</strong> families with<br />

children counted on a s<strong>in</strong>gle night decl<strong>in</strong>ed by<br />

five percent (or 10,055 people) between 2016<br />

and 2017, as did the number <strong>of</strong> homeless family<br />

households (3,294 households).<br />

• Decl<strong>in</strong>es occurred among both sheltered people<br />

<strong>in</strong> families with children (by 5% or 7,840 people)<br />

and unsheltered people <strong>in</strong> families with children<br />

(by 12% or 2,215 people).<br />

• Between 2016 and 2017, family homelessness<br />

decl<strong>in</strong>ed across all age groups, and the number<br />

<strong>of</strong> family members found <strong>in</strong> unsheltered<br />

locations decl<strong>in</strong>ed for most, but not all, age<br />

groups. <strong>The</strong> number <strong>of</strong> children experienc<strong>in</strong>g<br />

unsheltered homelessness with their parents<br />

decl<strong>in</strong>ed by 15 percent. <strong>The</strong> only age group<br />

to experience an <strong>in</strong>crease <strong>in</strong> unsheltered<br />

homelessness was people between the ages 18<br />

and 24, an <strong>in</strong>crease <strong>of</strong> 317 people or 26 percent.<br />

People <strong>in</strong> this age group may be the parent <strong>of</strong><br />

the family, or they may be young adults <strong>in</strong> a<br />

household that has both another adult and at<br />

least one child under 18.<br />

• Between 2016 and 2017, the number <strong>of</strong><br />

people <strong>in</strong> families with children experienc<strong>in</strong>g<br />

homelessness who identified as Hispanic or<br />

Lat<strong>in</strong>o decl<strong>in</strong>ed by 17 percent, or 10,469 fewer<br />

people, <strong>in</strong>clud<strong>in</strong>g an eight percent decl<strong>in</strong>e <strong>in</strong><br />

unsheltered homelessness. While sheltered<br />

homelessness among Hispanics dropped, it<br />

<strong>in</strong>creased for non-Hispanic or Lat<strong>in</strong>o people <strong>in</strong><br />

families over the same time period (by 2% or<br />

2,300 people).<br />

• <strong>Homelessness</strong> <strong>in</strong>creased among people <strong>in</strong><br />

families who identified as African American (by<br />

3%), while decl<strong>in</strong><strong>in</strong>g among people <strong>in</strong> families<br />

with children who identified as white (by 10%).<br />

S<strong>in</strong>ce 2007<br />

• Over the last 10 years, the number <strong>of</strong> homeless<br />

people <strong>in</strong> families dropped by 21 percent (49,897<br />

fewer people), and the number <strong>of</strong> homeless<br />

family households dropped by 26 percent<br />

(20,564 family households).<br />

• This decl<strong>in</strong>e was driven by a substantial drop<br />

<strong>in</strong> the number <strong>of</strong> people counted <strong>in</strong> families<br />

with children stay<strong>in</strong>g <strong>in</strong> unsheltered locations.<br />

Between 2007 and 2017, the number <strong>of</strong><br />

unsheltered people <strong>in</strong> families with children<br />

decl<strong>in</strong>ed by 70 percent (or 39,292 people). <strong>The</strong><br />

number <strong>of</strong> people <strong>in</strong> families with children<br />

stay<strong>in</strong>g <strong>in</strong> sheltered locations also decl<strong>in</strong>ed,<br />

though by a more modest marg<strong>in</strong> (by 6% or<br />

10,605 people).<br />

2 96 people under the age <strong>of</strong> 18 and their children are <strong>in</strong>cluded <strong>in</strong><br />

this estimate. People under the age <strong>of</strong> 18 who are experienc<strong>in</strong>g<br />

homelessness with their children are reported under “childonly”<br />

households, and are also <strong>in</strong>cluded <strong>in</strong> the <strong>in</strong>dividuals<br />

section <strong>of</strong> this report. <strong>The</strong>y are not <strong>in</strong>cluded <strong>in</strong> the total number<br />

<strong>of</strong> people experienc<strong>in</strong>g homelessness <strong>in</strong> families.<br />

34


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

35


3National 1National Estimates<br />

<strong>Homelessness</strong> Families <strong>in</strong> the with United Children States<br />

Data source: PIT 2007–2017; Excludes Puerto Rico and U.S. territories<br />

EXHIBIT 3.6: Estimates <strong>of</strong> Family <strong>Homelessness</strong><br />

By State, 2017<br />

WA<br />

6,331<br />

OR<br />

3,519<br />

NV<br />

552<br />

CA<br />

21,522<br />

AK<br />

491<br />

ID<br />

728<br />

UT<br />

970<br />

AZ<br />

2,459<br />

MT<br />

542<br />

WY<br />

251<br />

CO<br />

3,369<br />

NM<br />

617<br />

ME, 928<br />

ND<br />

VT, 528<br />

257 MN<br />

NH, 680<br />

3,769<br />

NY MA, 11,298<br />

SD<br />

WI<br />

332<br />

2,382 MI<br />

52,113 RI, 378<br />

3,423<br />

CT, 1,180<br />

IA<br />

PA<br />

NE<br />

5,867 NJ, 3,103<br />

1,256 IL OH<br />

803<br />

3,904 IN 3,407<br />

DE, 379<br />

1,815 WV MD, 2,170<br />

277<br />

VA<br />

KS MO<br />

KY 2,039<br />

DC, 3,890<br />

864 2,269 993<br />

Share <strong>of</strong> Homeless<br />

NC, 2,918<br />

People <strong>in</strong> Families<br />

OK<br />

TN, 2,172<br />

1,375<br />

AR<br />

SC<br />

Less than 1%<br />

399 AL 1,020<br />

1%–2.9%<br />

MS 808 GA<br />

TX<br />

372 2,752<br />

3%–6%<br />

LA<br />

Greater than 6%<br />

6,840<br />

746<br />

FL<br />

9,422<br />

HI<br />

2,685<br />

On a S<strong>in</strong>gle Night <strong>in</strong> 2017<br />

• Nearly 30 percent <strong>of</strong> all people <strong>in</strong> families with<br />

children experienc<strong>in</strong>g homelessness were <strong>in</strong><br />

New York, or 52,113 people. All but 55 people<br />

(or 0.1%) were stay<strong>in</strong>g <strong>in</strong> sheltered locations.<br />

• More than half <strong>of</strong> all homeless people <strong>in</strong><br />

families with children were <strong>in</strong> four states: New<br />

York (29% or 52,113 people), California (12% or<br />

21,522 people), Massachusetts (6% or 11,298<br />

people), and Florida (5% or 9,422 people).<br />

• California, Florida, Oregon, and Colorado<br />

together accounted for nearly two-thirds <strong>of</strong> all<br />

unsheltered people <strong>in</strong> families with children<br />

(63%).<br />

• In five states, more than one third <strong>of</strong> people<br />

experienc<strong>in</strong>g homelessness <strong>in</strong> families with<br />

children were unsheltered: North Dakota<br />

(58%), Oregon (52%), Wyom<strong>in</strong>g (49%), Montana<br />

(35%), and Florida (34%). <strong>The</strong>se rates were<br />

considerably higher than the national rate <strong>of</strong><br />

just under 10 percent.<br />

Changes Over Time<br />

• Between 2016 and 2017, 13 states had<br />

<strong>in</strong>creases <strong>in</strong> the number <strong>of</strong> people <strong>in</strong> families<br />

with children experienc<strong>in</strong>g homelessness.<br />

<strong>The</strong> largest <strong>in</strong>creases were <strong>in</strong> New York and<br />

California, each which had more than 1,000<br />

more homeless people <strong>in</strong> families <strong>in</strong> 2017 than<br />

<strong>in</strong> 2016.<br />

• Thirty-seven states and the District <strong>of</strong><br />

Columbia experienced decl<strong>in</strong>es between 2016<br />

and 2017. Massachusetts experienced the<br />

largest decl<strong>in</strong>e <strong>in</strong> homeless people <strong>in</strong> families,<br />

with 1,876 fewer people <strong>in</strong> 2017, a 14 percent<br />

decl<strong>in</strong>e. Other states with large decl<strong>in</strong>es <strong>in</strong><br />

homeless people <strong>in</strong> families with children<br />

were Georgia (892 fewer people or 25%),<br />

Pennsylvania (873 fewer people or 13%), and<br />

the District <strong>of</strong> Columbia (777 fewer people or<br />

17%).<br />

• Over a longer period, 2007-2017, the number <strong>of</strong><br />

people experienc<strong>in</strong>g homelessness <strong>in</strong> families<br />

with children <strong>in</strong>creased <strong>in</strong> 13 states. New York<br />

experienced the largest <strong>in</strong>crease, with 17,568<br />

36


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

more homeless people <strong>in</strong> families, a 51 percent<br />

rise. Though Massachusetts and the District<br />

<strong>of</strong> Columbia experienced decl<strong>in</strong>es <strong>in</strong> the last<br />

year, the number <strong>of</strong> homeless people <strong>in</strong> families<br />

<strong>in</strong> both states were considerably higher <strong>in</strong><br />

2017 than <strong>in</strong> 2007 (by 4,463 people or 65% <strong>in</strong><br />

Massachusetts and 2,287 people or 143% <strong>in</strong> the<br />

District <strong>of</strong> Columbia).<br />

• In the last 10 years, the number <strong>of</strong> homeless<br />

people <strong>in</strong> families with children decl<strong>in</strong>ed <strong>in</strong><br />

38 states. Though California experienced an<br />

<strong>in</strong>crease between 2016 and 2017, the number<br />

<strong>of</strong> people <strong>in</strong> families with children was<br />

considerably lower <strong>in</strong> 2017 than it was <strong>in</strong> 2007<br />

(by 6,512 people or 23%). Other states with<br />

large decl<strong>in</strong>es over the last decade <strong>in</strong>clude<br />

Texas (6,642 or 49%), Florida (5,607 or 37%),<br />

and New Jersey (5,239 or 63%).<br />

EXHIBIT 3.7: Highest and Lowest Rates <strong>of</strong> Unsheltered People <strong>in</strong> Families with Children<br />

By State, 2017<br />

Highest Rates<br />

NORTH DAKOTA<br />

OREGON<br />

WYOMING<br />

MONTANA<br />

FLORIDA<br />

58.0%<br />

51.9%<br />

49.4%<br />

35.1%<br />

34.4%<br />

257 Homeless<br />

149 Unsheltered<br />

3,519 Homeless<br />

1,826 Unsheltered<br />

251 Homeless<br />

124 Unsheltered<br />

542 Homeless<br />

190 Unsheltered<br />

9,422 Homeless<br />

3,242 Unsheltered<br />

Lowest Rates<br />

DISTRICT OF<br />

COLUMBIA<br />

0.0%<br />

IOWA<br />

0.0%<br />

UTAH<br />

0.0%<br />

NEBRASKA<br />

0.0%<br />

ALASKA<br />

0.0%<br />

3,090 Homeless<br />

0 Unsheltered<br />

1,256 Homeless<br />

0 Unsheltered<br />

970 Homeless<br />

0 Unsheltered<br />

803 Homeless<br />

0 Unsheltered<br />

491 Homeless<br />

0 Unsheltered<br />

Note: Excludes Puerto Rico and U.S. territories.<br />

37


3State 1National Estimates<br />

<strong>Homelessness</strong> Families <strong>in</strong> the with United Children States<br />

Data source: PIT 2007–2017; Excludes Puerto Rico and U.S. territories<br />

EXHIBIT 3.8: Largest Changes <strong>in</strong> Homeless People <strong>in</strong> Families with Children<br />

By State, 2007–2017<br />

Largest Increases<br />

2016–2017 2007–2017<br />

NEW YORK 1,076 / 2.1% NEW YORK 17,568 / 50.9%<br />

CALIFORNIA 1,040 / 5.1% MASSACH<strong>US</strong>ETTS 4,463 / 65.3%<br />

OKLAHOMA 265 / 23.9% DISTRICT OF COLUMBIA 2,287 / 142.7%<br />

NEW HAMPSHIRE 141 / 26.2% OKLAHOMA 136 / 11.0%<br />

MINNESOTA 97 / 2.6% MISSISSIPPI 110 / 42.0%<br />

Largest Decreases*<br />

MASSACH<strong>US</strong>ETTS -1,876 / -14.2% TEXAS -6,642 / -49.3%<br />

GEORGIA -892 / -24.5% CALIFORNIA -6,512 / -23.2%<br />

PENNSYLVANIA -873 / -13.0% FLORIDA -5,607 / -37.3%<br />

DISTRICT OF COLUMBIA -777 / -16.6% NEW JERSEY -5,239 / -62.8%<br />

COLORADO -731 / -17.8% GEORGIA -4,366 / -61.3%<br />

a<br />

Due to methodological changes, Michigan was excluded from the list <strong>of</strong> largest decreases from 2007-2017.<br />

Approximately 17 percent <strong>of</strong> people<br />

<strong>in</strong> families who were under the age<br />

<strong>of</strong> 25 were people <strong>in</strong> parent<strong>in</strong>g<br />

youth households<br />

38


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

39


3Estimates 1National Estimates by CoC<br />

<strong>Homelessness</strong> Families <strong>in</strong> the with United Children States<br />

f All Homeless People <strong>in</strong> Families with Children<br />

re <strong>of</strong> Sheltered People <strong>in</strong> Families with Children<br />

<strong>of</strong> Unsheltered People <strong>in</strong> Families with Children<br />

EXHIBIT 3.9: Homeless People <strong>in</strong> Families<br />

with Children<br />

By CoC Category and Sheltered Status, 2017<br />

0 100<br />

All Homeless People <strong>in</strong><br />

Families with Children<br />

Sheltered People <strong>in</strong><br />

Families with Children<br />

Unsheltered People <strong>in</strong><br />

Families with Children<br />

0% 100%<br />

50.5<br />

53.6<br />

17.1 50.2<br />

Major Cities<br />

Smaller City, County, and Regional CoCs<br />

Balance <strong>of</strong> State and Statewide CoCs<br />

34.0 15.5<br />

32.5<br />

13.9<br />

32.7<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• More than half <strong>of</strong> all people experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> families with children were<br />

<strong>in</strong> the 50 largest cities (92,414 people). Smaller<br />

cities, counties and regional CoCs had 34<br />

percent <strong>of</strong> the total, and the rema<strong>in</strong><strong>in</strong>g 16<br />

percent were <strong>in</strong> BoS and statewide CoCs.<br />

• New York City accounted for one quarter all<br />

family homelessness <strong>in</strong> the U.S., or 45,377<br />

people experienc<strong>in</strong>g homelessness <strong>in</strong> families<br />

with children. While this is not surpris<strong>in</strong>g<br />

given the size <strong>of</strong> New York City, some large<br />

cities have relatively low numbers <strong>of</strong> people<br />

<strong>in</strong> homeless families compared to the size <strong>of</strong><br />

the city. For example, Houston has the fourth<br />

largest population <strong>in</strong> the country but is not<br />

among the ten cities with the largest numbers<br />

<strong>of</strong> people experienc<strong>in</strong>g homelessness <strong>in</strong><br />

families with children.<br />

• Six <strong>of</strong> the ten major cities with the largest<br />

numbers <strong>of</strong> homeless people <strong>in</strong> families are not<br />

among those with largest numbers <strong>of</strong> homeless<br />

<strong>in</strong>dividuals. Chicago and Phoenix, the third<br />

and fifth largest cities, were <strong>in</strong> the ten places<br />

with the largest numbers <strong>of</strong> homeless families<br />

though they did not appear among the largest<br />

total homeless populations.<br />

• In major cities, almost all homeless people<br />

<strong>in</strong> families with children were sheltered, 97<br />

Data source: PIT 2007–2017; Excludes Puerto Rico and U.S. territories<br />

Balance <strong>of</strong> State and Statewide CoCs<br />

Smaller Cities, Counties, and Regional CoCs<br />

Major Cities<br />

percent. By comparison, only 87 percent <strong>of</strong><br />

people <strong>in</strong> homeless families were sheltered <strong>in</strong><br />

smaller cities, counties, and regional CoCs and<br />

82 percent <strong>in</strong> BoS and statewide CoCs.<br />

• Smaller cities, counties, and regional CoCs<br />

<strong>in</strong>clude eight CoCs where over 80 percent<br />

<strong>of</strong> homeless people <strong>in</strong> families with children<br />

were unsheltered. <strong>The</strong> highest unsheltered<br />

rate was found <strong>in</strong> Pasco County on the west<br />

coast <strong>of</strong> Florida, where 96 percent <strong>of</strong> homeless<br />

people with families were liv<strong>in</strong>g <strong>in</strong> unsheltered<br />

locations.<br />

• BoS or Statewide CoCs accounted for 16<br />

percent <strong>of</strong> all people <strong>in</strong> families with children<br />

experienc<strong>in</strong>g homelessness (or 28,408 people)<br />

and for 33 percent <strong>of</strong> all unsheltered people <strong>in</strong><br />

families (5,145 people).<br />

• <strong>The</strong> communities with the highest rates <strong>of</strong><br />

unsheltered homelessness among families<br />

<strong>in</strong> major cities and smaller cities, counties,<br />

and regional CoCs were, for the most part, <strong>in</strong><br />

warmer climates like California and Florida.<br />

However, the highest rates <strong>of</strong> unsheltered<br />

family homelessness for BoS or statewide<br />

CoCs were found <strong>in</strong> colder climates, with the<br />

exception <strong>of</strong> Oklahoma Balance <strong>of</strong> State.<br />

Cont<strong>in</strong>uums <strong>of</strong> Care (CoC) Were<br />

Divided <strong>in</strong>to Three Geographic<br />

Categories<br />

Major city CoCs (n=48) cover the 50 largest<br />

cities <strong>in</strong> the United States. In two cases<br />

(Phoenix and Mesa, AZ, and Arl<strong>in</strong>gton and<br />

Fort Worth, TX), two large cities were located<br />

<strong>in</strong> the same CoC.<br />

Smaller city, county, and regional CoCs<br />

(n=306) are jurisdictions that are neither one<br />

<strong>of</strong> the 50 largest cities <strong>in</strong> the United States nor<br />

Balance <strong>of</strong> State and Statewide CoCs.<br />

Balance <strong>of</strong> State (BoS) and statewide CoCs<br />

(n=40) are typically composed <strong>of</strong> multiple<br />

rural counties or represent an entire state.<br />

40


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 3.10: CoCs with the Largest Numbers <strong>of</strong> Homeless People <strong>in</strong> Families with Children<br />

By CoC Category, 2017<br />

CoC<br />

Major City CoCs Smaller City, County, and Regional CoCs Balance <strong>of</strong> State and Statewide CoCs<br />

# <strong>of</strong> People<br />

<strong>in</strong> Families<br />

New York City, NY 45,377<br />

Los Angeles City & County,<br />

CA<br />

CoC<br />

Nassau, Suffolk Counties/<br />

Babylon/Islip/ Hunt<strong>in</strong>gton, NY<br />

# <strong>of</strong> People<br />

<strong>in</strong> Families<br />

CoC<br />

2,943 Texas Balance <strong>of</strong> State<br />

8,106 Spr<strong>in</strong>gfield, MA 1,941 Oregon Balance <strong>of</strong> State<br />

# <strong>of</strong> People<br />

<strong>in</strong> Families<br />

District <strong>of</strong> Columbia 3,890 Honolulu, HI 1,847 Wiscons<strong>in</strong> Balance <strong>of</strong> State 1,849<br />

Boston, MA 3,643 Pasco County, FL 1,755 Wash<strong>in</strong>gton Balance <strong>of</strong> State 1,796<br />

Seattle/K<strong>in</strong>g County, WA 2,833<br />

Philadelphia, PA 2,352<br />

Chicago, IL 1,933<br />

Phoenix/Mesa/Maricopa<br />

County Regional, AZ<br />

M<strong>in</strong>neapolis/Hennep<strong>in</strong><br />

County, MN<br />

San Diego City and County,<br />

CA<br />

Santa Ana/Anaheim/Orange<br />

County, CA<br />

Yonkers/Mount Vernon/New<br />

Rochelle/Westchester, NY<br />

Fort Pierce/St. Lucie, Indian<br />

River, Mart<strong>in</strong> Counties, FL<br />

1,265<br />

Massachusetts Balance <strong>of</strong><br />

State<br />

1,163 Ohio Balance <strong>of</strong> State<br />

982 Georgia Balance <strong>of</strong> State<br />

1,800 Eastern Pennsylvania 961 Colorado Balance <strong>of</strong> State<br />

1,662 Worcester City & County, MA 923 Indiana Balance <strong>of</strong> State<br />

1,589 Newark/Essex County, NJ 795<br />

North Carol<strong>in</strong>a Balance <strong>of</strong><br />

State<br />

2,345<br />

1,893<br />

1,564<br />

1,530<br />

1,497<br />

1,451<br />

1,315<br />

1,143<br />

Nearly 30 percent <strong>of</strong> all people <strong>in</strong><br />

families with children experienc<strong>in</strong>g<br />

homelessness were <strong>in</strong> New York.<br />

41


3Estimates 1National Estimates by CoC<br />

<strong>Homelessness</strong> Families <strong>in</strong> the with United Children States<br />

Data source: PIT 2007–2017; Excludes Puerto Rico and U.S. territories<br />

EXHIBIT 3.11: CoCs with the Highest and Lowest<br />

Rates <strong>of</strong> Unsheltered Homeless People <strong>in</strong> Families with Children<br />

By CoC Category, 2017<br />

CoC<br />

Highest Rates<br />

San Jose/Santa<br />

Clara City &<br />

County, CA<br />

Major City CoCs<br />

Total<br />

Homeless<br />

People <strong>in</strong><br />

Families<br />

Smaller City, County,<br />

and Regional CoCs<br />

Total<br />

%<br />

Unsheltered CoC Homeless<br />

People <strong>in</strong><br />

Families<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs<br />

Total<br />

%<br />

Unsheltered CoC Homeless<br />

People <strong>in</strong><br />

Families<br />

1,075 27.5% Pasco County, FL 1,755 96.3% Oklahoma<br />

Balance <strong>of</strong> State<br />

Long Beach, CA 217 26.3% El Dorado County,<br />

CA<br />

Los Angeles City &<br />

County, CA<br />

San Diego City and<br />

County, CA<br />

Portland-Gresham-<br />

Multnomah<br />

County, OR<br />

Lowest Rates<br />

8,106 18.6% Fort Pierce/St. Lucie,<br />

Indian River, Mart<strong>in</strong><br />

Counties, FL<br />

1,589 18.4% Northwest North<br />

Carol<strong>in</strong>a<br />

156 88.5% Oregon Balance<br />

<strong>of</strong> State<br />

982 88.0% Colorado<br />

Balance <strong>of</strong> State<br />

267 85.4% North Dakota<br />

Statewide<br />

657 11.7% Central Oregon 284 83.8% Wyom<strong>in</strong>g<br />

Statewide<br />

New York City CoC 45,377 0.0% Nassau, Suffolk<br />

Counties/Babylon/<br />

Islip/ Hunt<strong>in</strong>gton, NY<br />

District <strong>of</strong><br />

Columbia CoC<br />

2,943 0.0% Massachusetts<br />

Balance <strong>of</strong> State<br />

3,890 0.0% Spr<strong>in</strong>gfield, MA 1,941 0.0% Iowa Balance <strong>of</strong><br />

State<br />

Boston CoC, MA 3,643 0.0% Yonkers/<br />

Mount Vernon/<br />

New Rochelle/<br />

Westchester, NY<br />

Miami/Dade<br />

County CoC, FL<br />

Memphis/Shelby<br />

County CoC, TN<br />

1,175 0.0% Qu<strong>in</strong>cy/Brockton/<br />

Weymouth/Plymouth<br />

City and County, MA<br />

511 0.0% Salt Lake City &<br />

County, UT<br />

Note: Excludes CoCs with fewer than 100 total homeless people.<br />

1,163 0.0% Kansas Balance<br />

<strong>of</strong> State<br />

750 0.0% Rhode Island<br />

Statewide<br />

699 0.0% Nebraska<br />

Balance <strong>of</strong> State<br />

%<br />

Unsheltered<br />

281 65.5%<br />

1,893 64.1%<br />

1,451 62.6%<br />

257 58.0%<br />

251 49.4%<br />

1,564 0.0%<br />

985 0.0%<br />

429 0.0%<br />

378 0.0%<br />

230 0.0%<br />

Changes over Time<br />

• Between 2016 and 2017, the number <strong>of</strong><br />

homeless people <strong>in</strong> families with children<br />

decl<strong>in</strong>ed <strong>in</strong> all three types <strong>of</strong> CoCs. <strong>The</strong><br />

largest percentage change occurred <strong>in</strong> BoS or<br />

statewide CoCs (by 3,291 or 10%), followed by<br />

smaller cities, counties, and regional CoCs (by<br />

5,133 people or 8%), with more modest decl<strong>in</strong>es<br />

<strong>in</strong> major cities (1,618 or 2%).<br />

• New York City and Los Angeles have<br />

experienced considerable fluctuations <strong>in</strong><br />

the number <strong>of</strong> homeless people <strong>in</strong> families<br />

<strong>in</strong> recent years. <strong>The</strong>se two communities<br />

experienced the largest <strong>in</strong>creases between<br />

2014 and 2015, the largest decl<strong>in</strong>es <strong>in</strong> people<br />

experienc<strong>in</strong>g homelessness <strong>in</strong> families with<br />

children between 2015 and 2016, and between<br />

2016 and 2017 represented two <strong>of</strong> the top<br />

three <strong>in</strong>creases. Los Angeles had the largest<br />

42


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

<strong>in</strong>crease between 2016 and 2017, with 1,978<br />

more people (or 32%). In New York, there were<br />

819 more people <strong>in</strong> families experienc<strong>in</strong>g<br />

homelessness, a two percent <strong>in</strong>crease.<br />

• Over a longer time period, 2007-2017, sheltered<br />

homelessness among people <strong>in</strong> families <strong>in</strong><br />

major cities <strong>in</strong>creased by 14 percent (10,798<br />

people). Sheltered homelessness decl<strong>in</strong>ed <strong>in</strong><br />

smaller cities, counties, and regional CoCs (by<br />

23%) and <strong>in</strong> BoS and statewide CoCs (by 20%)<br />

dur<strong>in</strong>g the same time period.<br />

• Over the last decade, unsheltered<br />

homelessness decl<strong>in</strong>ed dramatically across<br />

CoC categories. <strong>Homelessness</strong> among people<br />

<strong>in</strong> families <strong>in</strong> major cities decl<strong>in</strong>ed by 82<br />

percent (12,182 fewer people), 69 percent <strong>in</strong><br />

smaller cities, counties, and regional CoCs (or<br />

17,470 people), and by 67 percent <strong>in</strong> BoS and<br />

statewides (or 10,231 people).<br />

EXHIBIT 3.12: People <strong>in</strong> Families with Children Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

By CoC Category and Sheltered Status, 2007–2017<br />

100000<br />

80000<br />

60000<br />

40000<br />

20000<br />

0<br />

91,487<br />

93,033<br />

89,720<br />

84,825<br />

82,441<br />

78,922<br />

70,220<br />

72,001 71,708<br />

70,123<br />

64,933<br />

54,432<br />

32,508<br />

28,896<br />

29,461 29,485<br />

27,373<br />

23,263<br />

28,067 22,861<br />

25,380<br />

17,669<br />

15,376<br />

19,794<br />

17,727<br />

14,876<br />

8,801<br />

7,176<br />

7,910<br />

6,411<br />

5,145<br />

4,274 5,424 4,579 4,143 2,694<br />

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017<br />

Major Cities,<br />

Sheltered<br />

Major Cities,<br />

Unsheltered<br />

Smaller Cities, Counties,<br />

and Regional CoCs,<br />

Sheltered<br />

Smaller Cities, Counties,<br />

and Regional CoCs,<br />

Unsheltered<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs,<br />

Sheltered<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs,<br />

Unsheltered<br />

EXHIBIT 3.13: Change <strong>in</strong> Numbers <strong>of</strong> Homeless People <strong>in</strong> Families with Children<br />

By Sheltered Status and CoC Category, 2016-2017<br />

Total Change Sheltered Change Unsheltered Change<br />

# % # % # %<br />

100000<br />

Major Cities -1,618 -1.7 -1,094 -1.2 -524 -16.3<br />

Smaller Cities, Counties, and Regional CoCs -5,133 -7.6 -5,040 -8.5 -93 -1.2<br />

Balance <strong>of</strong> State and Statewide CoCs -3,291 -10.4 -1,465 -5.9 -1,826 -26.2<br />

80000<br />

60000<br />

43


4National 1National Estimates<br />

<strong>Homelessness</strong> Unaccompanied <strong>in</strong> the Homeless United Youth States<br />

Data source: PIT 2017<br />

In recent years, HUD has expanded Po<strong>in</strong>t-<strong>in</strong>-Time<br />

(PIT) count data collection to <strong>in</strong>clude <strong>in</strong>formation<br />

on the number <strong>of</strong> young adults and children<br />

who are experienc<strong>in</strong>g homelessness without<br />

a parent or guardian present. Unaccompanied<br />

youth are people under the age <strong>of</strong> 25 who are not<br />

accompanied by a parent or guardian and are<br />

not a parent present<strong>in</strong>g with or sleep<strong>in</strong>g <strong>in</strong> the<br />

same place as his or her children. <strong>The</strong>se estimates<br />

<strong>in</strong>clude both unaccompanied homeless youth<br />

who are under the age <strong>of</strong> 18, and are a part <strong>of</strong> the<br />

households with only children population and<br />

unaccompanied homeless youth between the ages<br />

<strong>of</strong> 18 and 24, who are a part <strong>of</strong> the households<br />

without children population. HUD and its federal<br />

partners selected the PIT counts from January 2017<br />

as the basel<strong>in</strong>e measure <strong>of</strong> homelessness among<br />

unaccompanied youth. <strong>The</strong> basel<strong>in</strong>e measure will<br />

be used to assess future trends <strong>in</strong> the number <strong>of</strong><br />

unaccompanied youth experienc<strong>in</strong>g homelessness<br />

<strong>in</strong> the United States.<br />

EXHIBIT 4.1: Estimates <strong>of</strong> Unaccompanied<br />

Homeless Youth<br />

By Age and Sheltered Status, 2017<br />

Total<br />

Sheltered Unsheltered<br />

All Homeless People<br />

Unaccompanied Unaccompanied Unaccompanied<br />

Unsheltered<br />

Homeless Youth Youth<br />

Youth<br />

Sheltered<br />

# % # % # %<br />

All Homeless Individuals<br />

All Unaccompanied 40,799 100.0% 18,542 100.0% 22,257 100.0%<br />

Unaccompanied Youth Homeless (18-24) Youth<br />

(under 25)<br />

naccompanied Youth (under Unaccompanied<br />

18)<br />

4,789 11.7% 2,122 11.4% 2,667 12.0%<br />

Homeless Youth<br />

(under 18) 0 100<br />

Unaccompanied<br />

Homeless Youth<br />

(18-24)<br />

36,010 88.3% 16,420 88.6% 19,590 88.0%<br />

EXHIBIT 4.2: Sheltered and Unsheltered<br />

Unaccompanied Homeless Youth<br />

By Sheltered Status, 2017<br />

All Homeless<br />

People<br />

All Homeless<br />

Individuals<br />

Unaccompanied<br />

Youth (18-24)<br />

Unaccompanied<br />

Youth (under 18)<br />

0% 100%<br />

52.3<br />

65.2<br />

34.8<br />

47.7<br />

45.6 54.4<br />

44.3 55.7<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January<br />

• <strong>The</strong>re were 40,799 unaccompanied homeless<br />

youth under the age <strong>of</strong> 25. This represents<br />

just over seven percent <strong>of</strong> the total homeless<br />

population and eleven percent <strong>of</strong> people<br />

experienc<strong>in</strong>g homelessness as <strong>in</strong>dividuals.<br />

• In addition, there were 9,436 parents and<br />

12,152 children <strong>in</strong> families <strong>in</strong> which the parent<br />

was a youth. <strong>The</strong>y are not <strong>in</strong>cluded <strong>in</strong> this<br />

chapter, but are described <strong>in</strong> the Families<br />

chapter <strong>of</strong> this report.<br />

• People between the ages <strong>of</strong> 18 and 24<br />

account for most <strong>of</strong> the unaccompanied<br />

homeless youth population (88% or 36,010<br />

people). <strong>The</strong> rema<strong>in</strong><strong>in</strong>g 12 percent (or 4,789<br />

people) were under the age <strong>of</strong> 18.<br />

• Unaccompanied homeless youth are much more<br />

likely to be unsheltered (55%) than all people<br />

experienc<strong>in</strong>g homelessness (35%) or people<br />

experienc<strong>in</strong>g homelessness as <strong>in</strong>dividuals<br />

(48%). <strong>The</strong> younger unaccompanied homeless<br />

youth—people under age 18—are a slightly<br />

more likely to be unsheltered (56%) than<br />

unaccompanied homeless youth<br />

age 18 to 24 (54%).<br />

Demographic Characteristics <strong>of</strong><br />

Unaccompanied Youth<br />

• <strong>The</strong> majority <strong>of</strong> unaccompanied<br />

homeless youth experienc<strong>in</strong>g<br />

homelessness were men or boys<br />

(62% or 25,131 people). <strong>The</strong> size <strong>of</strong> the<br />

majority varied by sheltered status.<br />

More than two thirds <strong>of</strong> unsheltered<br />

unaccompanied homeless youth were<br />

male (67% or 14,929 people) compared to<br />

55 percent <strong>of</strong> sheltered unaccompanied<br />

homeless youth.<br />

• Transgender youth accounted for<br />

approximately two percent <strong>of</strong> the<br />

unaccompanied homeless youth population,<br />

regardless <strong>of</strong> sheltered status. While<br />

account<strong>in</strong>g for an extremely small share <strong>of</strong><br />

44<br />

Sheltered<br />

Unsheltered


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

the overall unaccompanied homeless youth<br />

population, people who did not identify as<br />

male, female, or transgender comprised a<br />

higher share <strong>of</strong> the unsheltered population<br />

than the sheltered population (0.5% compared<br />

to 0.2%).<br />

• More than one-third (37%) <strong>of</strong> unaccompanied<br />

homeless youth are women or girls, which<br />

is a larger share than those experienc<strong>in</strong>g<br />

homelessness as <strong>in</strong>dividuals (28%).<br />

• One-quarter <strong>of</strong> unaccompanied homeless<br />

youth were Hispanic or Lat<strong>in</strong>o (or 10,296<br />

people). <strong>The</strong> rate is higher among unsheltered<br />

unaccompanied homeless youth (31% or 6,785<br />

people). Unaccompanied homeless youth<br />

were more likely to be Hispanic or Lat<strong>in</strong>o<br />

than all homeless <strong>in</strong>dividuals (25% <strong>of</strong> youth<br />

were Hispanic or Lat<strong>in</strong>o compared to 19%),<br />

demonstrat<strong>in</strong>g that younger <strong>in</strong>dividuals were<br />

more likely Hispanic than older <strong>in</strong>dividuals.<br />

• Nearly half <strong>of</strong> unaccompanied homeless youth<br />

were white (49%), and about one-third (34%)<br />

were African American. Multiracial youth<br />

accounted for 10 percent. Native American<br />

youth represented four percent <strong>of</strong> the homeless<br />

youth population, and Asian and Pacific<br />

Islander youth together accounted for the<br />

rema<strong>in</strong><strong>in</strong>g three percent.<br />

• Compared to all homeless <strong>in</strong>dividuals<br />

(<strong>in</strong>clud<strong>in</strong>g people over the age <strong>of</strong> 24),<br />

unaccompanied homeless youth were more<br />

likely to identify as a race other than white or<br />

African American (18% versus 12%).<br />

EXHIBIT 4.3: Demographic Characteristics <strong>of</strong> Unaccompanied Youth Experienc<strong>in</strong>g<br />

<strong>Homelessness</strong><br />

2017<br />

All Unaccompanied Youth<br />

Sheltered Unaccompanied<br />

Youth<br />

Unsheltered Unaccompanied<br />

Youth<br />

# % # % # %<br />

Total 40,799 100 18,542 100 22,257 100<br />

Age<br />

Under 18 4,789 11.7 2,122 11.4 2,667 12.0<br />

18 – 24 36,010 88.3 16,420 88.6 19,590 88.0<br />

Gender<br />

Female 14,930 36.6 8,036 43.3 6,894 31.0<br />

Male 25,131 61.6 10,202 55.0 14,929 67.1<br />

Transgender 597 1.5 270 1.5 327 1.5<br />

Does Not Identify as Male,<br />

Female, or Transgender<br />

Ethnicity<br />

141 0.3 34 0.2 107 0.5<br />

Non-Hispanic 30,503 74.8 15,031 81.1 15,472 69.5<br />

Hispanic 10,296 25.2 3,511 18.9 6,785 30.5<br />

Race<br />

White 19,842 48.6 8,629 46.5 11,213 50.4<br />

African American 13,817 33.9 7,830 42.2 5,987 26.9<br />

Asian 770 1.9 193 1.0 577 2.6<br />

Native American 1,724 4.2 621 3.3 1,103 5.0<br />

Pacific Islander 579 1.4 135 0.7 444 2.0<br />

Multiple Races 4,067 10.0 1,134 6.1 2,933 13.2<br />

45


4State 1National Estimates<br />

<strong>Homelessness</strong> Unaccompanied <strong>in</strong> the Homeless United Youth States<br />

Data source: PIT 2017; Excludes PR and U.S. territories<br />

EXHIBIT 4.4: Estimates <strong>of</strong> Unaccompanied Homeless Youth<br />

By State, 2017<br />

WA<br />

2,135<br />

OR<br />

1,462<br />

NV<br />

2,166<br />

CA<br />

15,458<br />

AK<br />

162<br />

ID<br />

113<br />

UT<br />

180<br />

AZ<br />

578<br />

MT<br />

106<br />

WY<br />

62<br />

CO<br />

763<br />

NM<br />

181<br />

ND<br />

80<br />

SD<br />

66<br />

NE<br />

164<br />

KS<br />

103<br />

TX<br />

1,318<br />

OK<br />

363<br />

ME, 178<br />

VT, 94<br />

MN<br />

NH, 76<br />

889<br />

WI<br />

NY MA, 469<br />

276 MI<br />

2,829 RI, 49<br />

608<br />

CT, 170<br />

IA<br />

PA<br />

NJ,<br />

140 IL OH 756 492<br />

IN<br />

DE, 45<br />

730<br />

294 695 WV MD, 272<br />

VA<br />

MO<br />

KY 79<br />

303<br />

DC, 228<br />

548<br />

253<br />

NC, 434<br />

TN, 457<br />

AR<br />

SC<br />

208<br />

173<br />

Share <strong>of</strong> Unaccompanied<br />

MS AL GA<br />

Homeless Youth<br />

59 294 526<br />

Less than 1%<br />

LA<br />

236<br />

1%–2.9%<br />

3%–6%<br />

FL 2,019<br />

Greater than 6%<br />

HI<br />

319<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• California reported the largest numbers<br />

<strong>of</strong> unaccompanied homeless youth (15,458<br />

people), which represents 38 percent <strong>of</strong> the<br />

national total. Other states with large numbers<br />

<strong>of</strong> unaccompanied homeless youth were:<br />

New York (2,829), Nevada (1,931), Wash<strong>in</strong>gton<br />

(2,135), and Florida (2,019).<br />

Unaccompanied homeless youth are<br />

much more likely to be unsheltered<br />

(55%) than all people experienc<strong>in</strong>g<br />

homelessness (35%) or people<br />

experienc<strong>in</strong>g homelessness as<br />

<strong>in</strong>dividuals (48%).<br />

• California accounted for 58 percent <strong>of</strong> all<br />

unsheltered unaccompanied youth (12,749<br />

people). <strong>The</strong> state with the next largest<br />

number was Nevada, with 90 percent <strong>of</strong><br />

unaccompanied homeless people under 25 <strong>in</strong><br />

unsheltered situations, or 1,931 people.<br />

• Nevada had the highest rate <strong>of</strong> unsheltered<br />

unaccompanied youth, with 89 percent (or<br />

1,931 people) stay<strong>in</strong>g <strong>in</strong> places not meant<br />

for human habitation. California and Hawaii<br />

followed, with 82 percent <strong>of</strong> unaccompanied<br />

youth <strong>in</strong> those states stay<strong>in</strong>g <strong>in</strong> unsheltered<br />

locations.<br />

• Iowa had the lowest rate <strong>of</strong> unsheltered<br />

unaccompanied youth, with only four <strong>of</strong> the 140<br />

youth stay<strong>in</strong>g <strong>in</strong> unsheltered locations (3%).<br />

46


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 4.5: States with the Highest and Lowest Rates <strong>of</strong> Unsheltered<br />

Unaccompanied Homeless Youth<br />

By State, 2017<br />

Highest Rates<br />

NEVADA<br />

CALIFORNIA<br />

HAWAII<br />

WASHINGTON<br />

OREGON<br />

89.2%<br />

82.5%<br />

82.4%<br />

65.7%<br />

65.3%<br />

2,166 Homeless<br />

1,931 Unsheltered<br />

15,458 Homeless<br />

12,749 Unsheltered<br />

319 Homeless<br />

263 Unsheltered<br />

2,135 Homeless<br />

1,402 Unsheltered<br />

1,462 Homeless<br />

955 Unsheltered<br />

Lowest Rates<br />

IOWA<br />

DELAWARE<br />

NEBRASKA<br />

NEW YORK<br />

MICHIGAN<br />

2.9%<br />

4.4%<br />

7.9%<br />

10.4%<br />

11.3%<br />

140 Homeless<br />

4 Unsheltered<br />

45 Homeless<br />

2 Unsheltered<br />

164 Homeless<br />

13 Unsheltered<br />

2,829 Homeless<br />

294 Unsheltered<br />

608 Homeless<br />

69 Unsheltered<br />

47


4Estimates 1National Estimates by CoC<br />

<strong>Homelessness</strong> Unaccompanied <strong>in</strong> the Homeless United Youth States<br />

Balance <strong>of</strong> State and Statewide CoCs<br />

Smaller Cities, Counties, and Regional CoCs<br />

Major Cities<br />

Data source: PIT 2017; Excludes Puerto Rico and U.S. territories<br />

0 100<br />

EXHIBIT 4.6: Unaccompanied Youth<br />

Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

By CoC Category and Sheltered Status, 2017<br />

All Unaccompanied<br />

Homeless Youth<br />

Sheltered<br />

Unaccompanied<br />

Youth<br />

Unsheltered<br />

Unaccompanied<br />

Youth<br />

0% 100%<br />

Major Cities<br />

43.4<br />

54.9<br />

33.0 12.1<br />

41.3<br />

64.4 26.1<br />

Smaller City, County, and Regional CoCs<br />

Balance <strong>of</strong> State and Statewide CoCs<br />

15.3<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• More than half (55%) <strong>of</strong> all unaccompanied<br />

homeless youth were counted <strong>in</strong> the nation’s<br />

major cities. Major cities accounted for a much<br />

larger share <strong>of</strong> the unsheltered population<br />

(64%) than the sheltered population (43%).<br />

• Smaller cities, counties, and regional CoCs<br />

had one-third <strong>of</strong> all unaccompanied homeless<br />

youth. <strong>The</strong>se CoCs accounted for a smaller<br />

share <strong>of</strong> unsheltered youth (26%) than <strong>of</strong><br />

sheltered youth (41%).<br />

• BoS and statewide CoCs account for 12<br />

percent <strong>of</strong> all unaccompanied homeless youth,<br />

n<strong>in</strong>e percent <strong>of</strong> unsheltered youth and 15<br />

percent <strong>of</strong> sheltered youth.<br />

• Five major cities (Los Angeles, San Jose, Las<br />

Vegas, New York City, and Seattle) accounted<br />

for one-third <strong>of</strong> all unaccompanied homeless<br />

youth <strong>in</strong> the country. Los Angeles had the<br />

largest number (5,163 or 13%), followed by San<br />

Jose (2,530 or 6%).<br />

• Los Angeles had the largest number <strong>of</strong><br />

unaccompanied homeless youth, more than<br />

double the number <strong>in</strong> the next largest city, San<br />

Jose. When Los Angeles is removed from the<br />

major cities category, major cities account for<br />

only 27 percent <strong>of</strong> sheltered unaccompanied<br />

youth, and smaller cities, counties and regional<br />

9.4<br />

CoCs account for 53 percent. Remov<strong>in</strong>g<br />

Los Angeles has only a slight effect on the<br />

percentage <strong>of</strong> unsheltered unaccompanied<br />

youth located <strong>in</strong> major cities (64% with Los<br />

Angeles, 62% without Los Angeles).<br />

• Major cities account for a higher percentage <strong>of</strong><br />

unsheltered unaccompanied youth than they<br />

do all unsheltered <strong>in</strong>dividuals (64% compared<br />

to 56%) and a lower percentage <strong>of</strong> sheltered<br />

unaccompanied youth compared to sheltered<br />

<strong>in</strong>dividuals (43% compared to 48%).<br />

• In four major cities, more than 80 percent <strong>of</strong><br />

unaccompanied youth were unsheltered. <strong>The</strong><br />

highest rate was <strong>in</strong> San Jose, where 96 percent<br />

<strong>of</strong> unaccompanied youth were unsheltered. In<br />

Las Vegas, 93 percent <strong>of</strong> unaccompanied youth<br />

were unsheltered, <strong>in</strong> San Francisco, 88 percent,<br />

and <strong>in</strong> Los Angeles, 80 percent were stay<strong>in</strong>g <strong>in</strong><br />

unsheltered locations.<br />

Cont<strong>in</strong>uums <strong>of</strong> Care (CoC) Were<br />

Divided <strong>in</strong>to Three Geographic<br />

Categories<br />

Major city CoCs (n=48) cover the 50 largest<br />

cities <strong>in</strong> the United States. In two cases<br />

(Phoenix and Mesa, AZ, and Arl<strong>in</strong>gton and<br />

Fort Worth, TX), two large cities were located<br />

<strong>in</strong> the same CoC.<br />

Smaller city, county, and regional CoCs<br />

(n=306) are jurisdictions that are neither one<br />

<strong>of</strong> the 50 largest cities <strong>in</strong> the United States nor<br />

Balance <strong>of</strong> State and Statewide CoCs.<br />

Balance <strong>of</strong> State (BoS) and statewide CoCs<br />

(n=40) are typically composed <strong>of</strong> multiple<br />

rural counties or represent an entire state.<br />

48


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

• Among smaller cities, counties, and regional<br />

CoCs, seven <strong>of</strong> the ten CoCs with the largest<br />

numbers <strong>of</strong> unaccompanied homeless youth<br />

experienc<strong>in</strong>g homelessness were located <strong>in</strong><br />

California. <strong>The</strong> CoC cover<strong>in</strong>g Monterey and<br />

San Benito Counties had the largest number<br />

(627).<br />

• Eleven smaller cities, counties, and regional<br />

CoCs had rates <strong>of</strong> unsheltered unaccompanied<br />

youth above 90 percent. <strong>The</strong> highest rates<br />

were found <strong>in</strong> Santa Cruz, where 98 percent <strong>of</strong><br />

unaccompanied homeless youth were stay<strong>in</strong>g<br />

<strong>in</strong> places not meant for human habitation,<br />

and Pasco County, Florida, which had an<br />

unsheltered rate <strong>of</strong> 96 percent.<br />

• Of BoS and statewide CoCs, Hawaii BoS had<br />

the highest rate <strong>of</strong> unsheltered unaccompanied<br />

youth (95%), followed by Oregon BoS (77%).<br />

EXHIBIT 4.7: CoCs with the Largest Numbers <strong>of</strong><br />

Unaccompanied Homeless Youth<br />

By CoC Category, 2017<br />

Major City CoCs<br />

Smaller City, County,<br />

and Regional CoCs<br />

Balance <strong>of</strong> State<br />

or Statewide CoCs<br />

CoC<br />

Total<br />

Unaccompanied<br />

Homeless Youth<br />

CoC<br />

Total<br />

Unaccompanied<br />

Homeless Youth<br />

CoC<br />

Total<br />

Unaccompanied<br />

Homeless Youth<br />

Los Angeles City &<br />

County, CA<br />

San Jose/Santa Clara City<br />

& County, CA<br />

Las Vegas/Clark County,<br />

NV<br />

5,163 Sal<strong>in</strong>as/Monterey, San<br />

Benito Counties, CA<br />

2,530 Watsonville/Santa Cruz<br />

City & County, CA<br />

2,052 Santa Rosa/Petaluma/<br />

Sonoma County, CA<br />

627 Oregon Balance <strong>of</strong> State 847<br />

586 Texas Balance <strong>of</strong> State 417<br />

532 Wash<strong>in</strong>gton Balance <strong>of</strong><br />

State<br />

New York City, NY 2,003 Pasco County, FL 329 Colorado Balance <strong>of</strong> State 240<br />

Seattle/K<strong>in</strong>g County, WA 1,498 Riverside City & County,<br />

CA<br />

314<br />

257 Indiana Balance <strong>of</strong> State 221<br />

San Francisco, CA 1,274 Vallejo/Solano County, CA 210 Ohio Balance <strong>of</strong> State 201<br />

San Diego City and<br />

County, CA<br />

Oakland/Alameda County,<br />

CA<br />

Metropolitan Denver<br />

Homeless Initiative, CO<br />

Phoenix/Mesa/Maricopa<br />

County Regional, AZ<br />

1,160 Honolulu, HI 210 Ma<strong>in</strong>e Balance <strong>of</strong> State 178<br />

991 San Luis Obispo County,<br />

CA<br />

436 San Bernard<strong>in</strong>o City &<br />

County, CA<br />

196 Georgia Balance <strong>of</strong> State 177<br />

166 Wiscons<strong>in</strong> Balance <strong>of</strong><br />

State<br />

320 St. Louis County, MO 155 Kentucky Balance <strong>of</strong> State 135<br />

142<br />

49


4Estimates 1National Estimates by CoC<br />

<strong>Homelessness</strong> Unaccompanied <strong>in</strong> the Homeless United Youth States<br />

Data source: PIT 2017; Excludes Puerto Rico and U.S. territories<br />

EXHIBIT 4.8: CoCs with the Highest and Lowest Rates <strong>of</strong> Unaccompanied Homeless Youth<br />

Who are Unsheltered<br />

By CoC Category, 2017<br />

Major City CoCs<br />

Smaller City, County,<br />

and Regional CoCs<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs<br />

CoC<br />

Total<br />

Unaccompanied<br />

Homeless Youth<br />

Total<br />

%<br />

Unsheltered CoC Unaccompanied<br />

Homeless Youth<br />

Total<br />

%<br />

Unsheltered CoC Unaccompanied<br />

Homeless Youth<br />

%<br />

Unsheltered<br />

Highest Rates<br />

San Jose/Santa<br />

Clara City &<br />

County, CA<br />

Las Vegas/Clark<br />

County, NV<br />

2,530 96.3<br />

San Francisco, CA 1,274 88.2<br />

Los Angeles City &<br />

County, CA<br />

Seattle/K<strong>in</strong>g<br />

County, WA<br />

Lowest Rates<br />

Watsonville/<br />

Santa Cruz City &<br />

County, CA<br />

586 97.8<br />

2,052 92.6 Pasco County, FL 329 96.4<br />

5,163 80.4<br />

1,498 76.2<br />

Detroit, MI 134 3.0<br />

Boston, MA 190 3.7<br />

Kansas City,<br />

Independence,<br />

Lee’s Summit/<br />

Jackson,<br />

Wyandotte<br />

Counties, MO<br />

& KS<br />

M<strong>in</strong>neapolis/<br />

Hennep<strong>in</strong> County,<br />

MN<br />

Atlanta Cont<strong>in</strong>uum<br />

<strong>of</strong> Care, GA<br />

124 6.5<br />

243 8.6<br />

Excludes CoCs with fewer than 100 unaccompanied youth.<br />

San Luis Obispo<br />

County, CA<br />

Sal<strong>in</strong>as/Monterey,<br />

San Benito<br />

Counties, CA<br />

Santa Rosa/<br />

Petaluma/<br />

Sonoma County,<br />

CA<br />

Nassau, Suffolk<br />

Counties/<br />

Babylon/Islip/<br />

Hunt<strong>in</strong>gton, NY<br />

Rochester/<br />

Southeast<br />

M<strong>in</strong>nesota, MN<br />

Rochester/<br />

Irondequoit/<br />

Greece/Monroe<br />

County, NY<br />

St. Louis County,<br />

MO<br />

196 95.4<br />

627 93.9<br />

532 90.8<br />

118 2.5<br />

133 5.3<br />

112 6.3<br />

155 7.7<br />

199 9.0 Anchorage, AK 115 12.2<br />

Hawaii<br />

Balance <strong>of</strong><br />

State<br />

Oregon<br />

Balance <strong>of</strong><br />

State<br />

Colorado<br />

Balance <strong>of</strong><br />

State<br />

Georgia<br />

Balance <strong>of</strong><br />

State<br />

Texas<br />

Balance <strong>of</strong><br />

State<br />

Wiscons<strong>in</strong><br />

Balance <strong>of</strong><br />

State<br />

Indiana<br />

Balance <strong>of</strong><br />

State<br />

Ma<strong>in</strong>e<br />

Balance <strong>of</strong><br />

State<br />

Michigan<br />

Balance <strong>of</strong><br />

State<br />

Ohio<br />

Balance <strong>of</strong><br />

State<br />

109 94.5<br />

847 76.5<br />

240 68.8<br />

177 59.3<br />

417 58.8<br />

142 3.5<br />

221 14.5<br />

178 19.7<br />

135 21.5<br />

201 21.9<br />

50


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

51


5National 1National Estimates<br />

Homeless Veterans<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2009–2017<br />

EXHIBIT 5.1: PIT Estimates <strong>of</strong><br />

Homeless Veterans<br />

By Sheltered Status, 2009–2017<br />

73,367 74,087<br />

43,409 43,437<br />

65,455<br />

40,033<br />

60,579<br />

55,619<br />

49,689<br />

29,958 30,650<br />

25,422 25,436<br />

35,143 34,909<br />

32,119<br />

47,725<br />

39,471<br />

40,056<br />

households without children who were white<br />

(52%). One-third <strong>of</strong> veterans experienc<strong>in</strong>g<br />

homelessness were African American, and five<br />

percent were multiracial.<br />

• Veterans experienc<strong>in</strong>g homelessness were<br />

nearly half as likely to be Hispanic as<br />

<strong>in</strong>dividuals experienc<strong>in</strong>g homelessness (10%<br />

compared to 19%) and less than half as likely<br />

as all people experienc<strong>in</strong>g homelessness (10%<br />

compared to 22%).<br />

20,710<br />

17,570<br />

31,505<br />

16,220<br />

26,404<br />

13,067<br />

24,690<br />

15,366<br />

2009 2010 2011 2012 2013 2014 2015 2016 2017<br />

Homeless Veterans<br />

Sheltered Veterans<br />

Unsheltered Veterans<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• 40,056 veterans were experienc<strong>in</strong>g<br />

homelessness <strong>in</strong> the U.S., just over n<strong>in</strong>e percent<br />

80000<br />

<strong>of</strong> all homeless adults.<br />

70000 • Three <strong>in</strong> five homeless veterans (62% or 24,690<br />

veterans) were stay<strong>in</strong>g <strong>in</strong> emergency shelters<br />

60000 or transitional hous<strong>in</strong>g programs, while two<br />

50000 <strong>in</strong> five (38% or 15,366 veterans) were found <strong>in</strong><br />

places not suitable for human habitation.<br />

40000 • Almost all veterans were experienc<strong>in</strong>g<br />

30000<br />

homelessness <strong>in</strong> households without children<br />

(98% or 39,101 veterans). About two percent<br />

20000 (955) were veterans who were homeless as<br />

part <strong>of</strong> a family.<br />

10000<br />

Demographic Characteristics<br />

• N<strong>in</strong>e <strong>in</strong> ten veterans experienc<strong>in</strong>g<br />

homelessness were men (91% or 36,302<br />

veterans).<br />

• Nearly six <strong>in</strong> ten veterans experienc<strong>in</strong>g<br />

homelessness (57%) were white, higher<br />

than the percent <strong>of</strong> all people experienc<strong>in</strong>g<br />

homelessness who were white (47%), and<br />

slightly higher than the percentage <strong>of</strong> people <strong>in</strong><br />

S<strong>in</strong>ce 2016<br />

• <strong>The</strong> number <strong>of</strong> homeless veterans <strong>in</strong>creased by<br />

585 people between 2016 and 2017.<br />

• This 2016-2017 <strong>in</strong>crease was driven entirely<br />

by an 18 percent <strong>in</strong>crease <strong>in</strong> the number<br />

<strong>of</strong> veterans experienc<strong>in</strong>g homelessness <strong>in</strong><br />

unsheltered places (2,299 more veterans).<br />

Partly <strong>of</strong>fsett<strong>in</strong>g the <strong>in</strong>crease <strong>in</strong> unsheltered<br />

veterans, the number <strong>of</strong> sheltered veterans<br />

decreased by 1,714 people (or 7%).<br />

• <strong>The</strong> number <strong>of</strong> homeless veterans who were<br />

women <strong>in</strong>creased by seven percent (243<br />

additional female veterans), and the number<br />

<strong>of</strong> veterans who were men <strong>in</strong>creased by one<br />

percent (347 additional male veterans). <strong>The</strong>se<br />

<strong>in</strong>creases were driven by <strong>in</strong>creases <strong>in</strong> the<br />

unsheltered population for both genders.<br />

• <strong>The</strong> number <strong>of</strong> veterans who were Hispanic<br />

<strong>in</strong>creased between 2016 and 2017, by 586<br />

people (or 17%). Hispanic veterans comprise 10<br />

percent <strong>of</strong> all homeless veterans and 15 percent<br />

<strong>of</strong> unsheltered veterans, up from 9 percent and<br />

13 percent <strong>in</strong> 2016.<br />

• Increases among veterans experienc<strong>in</strong>g<br />

homelessness were due entirely to <strong>in</strong>creases<br />

among veterans <strong>in</strong> households without children.<br />

<strong>The</strong> number <strong>of</strong> veterans <strong>in</strong> families decl<strong>in</strong>ed<br />

overall (by 16%), among sheltered veterans (by<br />

11%) and unsheltered veterans (by 29%).<br />

52


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

S<strong>in</strong>ce 2009<br />

• Po<strong>in</strong>t-<strong>in</strong>-time data started to identify veterans<br />

<strong>in</strong> 2009. <strong>The</strong> number <strong>of</strong> veterans experienc<strong>in</strong>g<br />

homelessness <strong>in</strong>creased between 2009 and 2010<br />

and then dropped every year until this past year.<br />

• S<strong>in</strong>ce 2009, veteran homelessness has dropped<br />

considerably, with 45 percent (or 33,311) fewer<br />

veterans experienc<strong>in</strong>g homelessness <strong>in</strong> 2017<br />

than <strong>in</strong> 2009.<br />

• Veteran homelessness decreased both<br />

among those <strong>in</strong> shelters and those found <strong>in</strong><br />

unsheltered locations. Between 2009 and 2017,<br />

the number <strong>of</strong> unsheltered veterans decreased<br />

by 49 percent (or 14,592 fewer veterans), and<br />

by 43 percent (or 18,719 fewer veterans) among<br />

those stay<strong>in</strong>g <strong>in</strong> shelters.<br />

EXHIBIT 5.2: Proportion <strong>of</strong> Adults Experienc<strong>in</strong>g <strong>Homelessness</strong> Who Are Veterans<br />

Sheltered Status, 2017<br />

Sheltered Status<br />

# <strong>of</strong> Veterans Experienc<strong>in</strong>g<br />

<strong>Homelessness</strong><br />

# <strong>of</strong> Adults Experienc<strong>in</strong>g<br />

<strong>Homelessness</strong><br />

% <strong>of</strong> Adults Experienc<strong>in</strong>g<br />

<strong>Homelessness</strong> Who are<br />

Veterans<br />

Total 40,056 438,913 9.1<br />

Sheltered 24,690 257,578 9.6<br />

Unsheltered 15,366 181,335 8.5<br />

EXHIBIT 5.3: Demographic Characteristics <strong>of</strong> Homeless Veterans<br />

2017<br />

All Veterans Sheltered Veterans Unsheltered Veterans<br />

Characteristic<br />

# % # % # %<br />

Total Veterans 40,056 100 24,690 100% 15,366 100<br />

Gender<br />

Female 3,571 8.9 2,071 8.4 1,500 9.8<br />

Male 36,302 90.6 22,556 91.4 13,746 89.5<br />

Transgender 131 0.3 51 0.2 80 0.5<br />

Don’t Identify as Male,<br />

Female, or Transgender<br />

52 0.1 12 0.0 40 0.3<br />

Ethnicity<br />

Non-Hispanic 35,912 89.7 22,781 92.3 13,131 85.5<br />

Hispanic 4,144 10.3 1,909 7.7 2,235 14.5<br />

Race<br />

White 22,744 56.8 13,718 55.6 9,026 58.7<br />

African American 13,260 33.1 9,245 37.4 4,015 26.1<br />

Asian 447 1.1 188 0.8 259 1.7<br />

Native American 1,307 3.3 496 2.0 811 5.3<br />

Pacific Islander 376 0.9 134 0.5 242 1.6<br />

Multiple Races 1,922 4.8 909 3.7 1,013 6.6<br />

EXHIBIT 5.4: Change <strong>in</strong> Numbers <strong>of</strong> Homeless Veterans<br />

By Sheltered Status, 2009–2017<br />

2016–2017 2010–2017 2009–2017<br />

# % # % # %<br />

Total Veterans 585 1.5 -34,031 -45.9 -33,311 -45.4<br />

Sheltered -1,714 -6.5 -18,747 -43.2 -18,719 -43.1<br />

Unsheltered 2,299 17.6 -15,284 -49.9 -14,592 -48.7<br />

53


5State 1National Estimates<br />

Homeless Veterans<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2009-2017<br />

EXHIBIT 5.5: Estimates <strong>of</strong> Homeless Veterans<br />

By State, 2017<br />

WA<br />

2,093<br />

OR<br />

1,251<br />

NV<br />

832<br />

CA<br />

11,472<br />

AK<br />

124<br />

MT<br />

ND<br />

205<br />

74<br />

ID<br />

SD<br />

228<br />

WY 130<br />

63<br />

NE<br />

174<br />

UT<br />

220 CO<br />

1,078 KS<br />

217<br />

AZ NM<br />

970 248<br />

TX<br />

2,200<br />

OK<br />

349<br />

ME,131<br />

VT, 94<br />

MN<br />

NH, 124<br />

281<br />

WI<br />

NY MA, 853<br />

329 MI<br />

1,244 RI, 95<br />

773<br />

CT, 191<br />

IA<br />

PA<br />

171 IL<br />

NJ, 583<br />

OH 963<br />

864 IN 862<br />

DE, 91<br />

615 WV MD, 536<br />

VA<br />

MO<br />

KY 137 DC, 285<br />

478<br />

538 489<br />

NC, 931<br />

Share <strong>of</strong> Homeless Veterans<br />

TN, 757<br />

AR<br />

SC<br />

Less than 1%<br />

239<br />

480<br />

MS AL<br />

1%–2.9%<br />

GA<br />

57 269<br />

3%–6%<br />

712<br />

LA<br />

Greater than 6%<br />

383<br />

FL 2,817<br />

HI<br />

615<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• Just under 30 percent <strong>of</strong> all veterans<br />

experienc<strong>in</strong>g homelessness were <strong>in</strong> California<br />

(29% or 11,472 veterans).<br />

• In three states, more than half <strong>of</strong> all veterans<br />

experienc<strong>in</strong>g homelessness were unsheltered.<br />

Those states were: California (67%), Hawaii<br />

(62%), and Oregon (53%).<br />

• Three states sheltered more than 95 percent<br />

<strong>of</strong> homeless veterans. In Nebraska, only one<br />

percent <strong>of</strong> veterans were unsheltered, <strong>in</strong> Rhode<br />

Island only three percent, and <strong>in</strong> New York five<br />

percent.<br />

• Some states with large numbers <strong>of</strong> homeless<br />

veterans are not among the states with the<br />

largest numbers <strong>of</strong> veterans. Oregon had the<br />

fifth largest number <strong>of</strong> veterans experienc<strong>in</strong>g<br />

homelessness, but the 25th largest number<br />

<strong>of</strong> veterans. Colorado had the seventh largest<br />

homeless veteran population and the 19th<br />

largest population <strong>of</strong> all veterans. In Virg<strong>in</strong>ia,<br />

the reverse was true. <strong>The</strong> state had the eighth<br />

largest population <strong>of</strong> veterans and was 25th<br />

<strong>in</strong> its population <strong>of</strong> veterans experienc<strong>in</strong>g<br />

homelessness.<br />

S<strong>in</strong>ce 2016<br />

• While homelessness among veterans <strong>in</strong>creased<br />

nationwide between 2016 and 2017, veteran<br />

homelessness decreased <strong>in</strong> 36 states and the<br />

District <strong>of</strong> Columbia. <strong>The</strong> largest absolute<br />

decreases were <strong>in</strong> Georgia (343 fewer<br />

veterans) and South Carol<strong>in</strong>a (258). <strong>The</strong> largest<br />

percentage decrease was <strong>in</strong> Mississippi (60%),<br />

followed by North Dakota (36%), South Carol<strong>in</strong>a<br />

(35%), and Utah (34%).<br />

• <strong>The</strong> number <strong>of</strong> veterans experienc<strong>in</strong>g<br />

homelessness <strong>in</strong>creased <strong>in</strong> 14 states between<br />

2016 and 2017. <strong>The</strong> largest absolute <strong>in</strong>creases,<br />

and those driv<strong>in</strong>g the nationwide <strong>in</strong>crease,<br />

were <strong>in</strong> California (1,860 more veterans),<br />

Wash<strong>in</strong>gton (609), and Texas (432). <strong>The</strong> largest<br />

percentage <strong>in</strong>creases were <strong>in</strong> Wash<strong>in</strong>gton (41%),<br />

Kansas (28%), Texas (24%), and Montana (24%).<br />

54


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

55


5State 1National Estimates<br />

Homeless Veterans<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2009–2017; Excludes Puerto Rico and U.S. territories<br />

EXHIBIT 5.6: States with the Highest and Lowest Rates <strong>of</strong> Unsheltered Veterans<br />

2017<br />

Highest Rates<br />

CALIFORNIA<br />

HAWAII<br />

OREGON<br />

WASHINGTON<br />

NEW MEXICO<br />

66.7%<br />

61.5%<br />

53.4%<br />

47.7%<br />

45.6%<br />

11,472 Homeless<br />

7,657 Unsheltered<br />

615 Homeless<br />

378 Unsheltered<br />

1,251 Homeless<br />

668 Unsheltered<br />

2,093 Homeless<br />

999 Unsheltered<br />

248 Homeless<br />

113 Unsheltered<br />

Lowest Rates<br />

NEBRASKA<br />

RHODE ISLAND<br />

NEW YORK<br />

MASSACH<strong>US</strong>ETTS<br />

VERMONT<br />

1.1%<br />

3.2%<br />

4.7%<br />

5.3%<br />

5.3%<br />

174 Homeless<br />

2 Unsheltered<br />

95 Homeless<br />

3 Unsheltered<br />

1,244 Homeless<br />

58 Unsheltered<br />

853 Homeless<br />

45 Unsheltered<br />

94 Homeless<br />

5 Unsheltered<br />

S<strong>in</strong>ce 2009<br />

• Between 2009 and 2017, the number <strong>of</strong><br />

veterans experienc<strong>in</strong>g homelessness decreased<br />

<strong>in</strong> 45 states plus the District <strong>of</strong> Columbia, with<br />

the largest absolute decreases <strong>in</strong> California<br />

(6,501 fewer veterans), New York (4,635), and<br />

Florida (4,318). New York also had a large<br />

percentage decrease, 79 percent. Other large<br />

percentage decreases were <strong>in</strong> Mississippi<br />

(84%), Louisiana (81%), and Alabama (75%).<br />

• <strong>The</strong> number <strong>of</strong> veterans experienc<strong>in</strong>g<br />

homelessness <strong>in</strong>creased <strong>in</strong> five states between<br />

2009 and 2017. <strong>The</strong> largest absolute <strong>in</strong>creases<br />

were <strong>in</strong> Wash<strong>in</strong>gton (130 more veterans) and<br />

Hawaii (116). <strong>The</strong> largest percentage <strong>in</strong>creases<br />

were <strong>in</strong> Vermont (54%) and Utah (33%).<br />

56


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 5.7: Largest Changes <strong>in</strong> Homeless Veterans<br />

By State, 2016-2017 and 2009-2017<br />

Largest Increases<br />

2016–2017 2009–2017<br />

CALIFORNIA 1,860 / 19.4% WASHINGTON 130 / 6.6%<br />

WASHINGTON 609 / 41.0% HAWAII 116 / 23.3%<br />

TEXAS 432 / 24.4% UTAH 54 / 32.5%<br />

KANSAS 48 / 28.4% VERMONT 33 / 53.6%<br />

NORTH CAROLINA 43 / 4.8% MAINE 8 / 6.5%<br />

Largest Decreases<br />

GEORGIA -343 / -32.5% CALIFORNIA -6,501 / -36.2%<br />

SOUTH CAROLINA -258 / -35.0% NEW YORK -4,635 / -78.8%<br />

PENNSYLVANIA -173 / -15.2% FLORIDA -4,318 / -60.5%<br />

UTAH -115 / -34.3% TEXAS -3,291 / -59.9%<br />

ALABAMA -104 / -27.9% GEORGIA -2,048 / -74.2%<br />

Note: Figures from 2009-2017 exclude North Dakota, Colorado, South Dakota, Wyom<strong>in</strong>g, and Michigan.<br />

57


5Estimates 1National Estimates by CoC<br />

Homeless Veterans<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Balance <strong>of</strong> State and Statewide CoCs<br />

Smaller Cities, Counties, and Regional CoCs<br />

Data source: PIT 2009-2017; Excludes Puerto Rico and U.S. territories<br />

Major Cities<br />

0 EXHIBIT 5.8: Homeless Veterans 100<br />

By CoC Category and Sheltered Status, 2017<br />

Homeless<br />

Veterans<br />

Sheltered<br />

Veterans<br />

Unsheltered<br />

Veterans<br />

0% 100%<br />

48.3<br />

44.3<br />

42.5<br />

54.6 32.1<br />

38.5 13.2<br />

13.1<br />

13.3<br />

• <strong>The</strong> smaller city, county, and regional CoCs<br />

<strong>of</strong> Santa Cruz City and County and Orange<br />

County <strong>in</strong> California had rates <strong>of</strong> unsheltered<br />

veterans at or above 85 percent (92% and 88%).<br />

Somerset County <strong>in</strong> New Jersey sheltered all<br />

veterans experienc<strong>in</strong>g homelessness <strong>in</strong> 2017.<br />

• Hawaii BoS and Georgia BoS had the highest<br />

rates <strong>of</strong> unsheltered veterans <strong>in</strong> the BoS and<br />

statewide category, with 86 percent and 75<br />

percent, respectively.<br />

Major Cities<br />

Smaller City, County, and Regional CoCs<br />

Balance <strong>of</strong> State and Statewide CoCs<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• Nearly half <strong>of</strong> all homeless veterans were <strong>in</strong><br />

major cities (48%). Smaller cities, counties,<br />

and regional CoCs accounted for a 39 percent,<br />

while 13 percent <strong>of</strong> homeless veterans were <strong>in</strong><br />

BoS and statewide CoCs.<br />

• Major cities accounted for a higher percentage<br />

<strong>of</strong> unsheltered veterans than <strong>of</strong> sheltered<br />

veterans (55% versus 44%). In contrast, smaller<br />

cities, counties, and regional CoCs had a larger<br />

share <strong>of</strong> all sheltered veterans (43%) than <strong>of</strong><br />

unsheltered veterans (32%).<br />

• Some major cities with the largest numbers<br />

<strong>of</strong> homeless veterans are not among the cities<br />

with the largest numbers <strong>of</strong> veterans. Seattle,<br />

WA has the second largest number <strong>of</strong> homeless<br />

veterans but was 34th <strong>in</strong> its number <strong>of</strong> all<br />

veterans. San Antonio, TX and Jacksonville,<br />

FL had the second and fifth largest numbers<br />

<strong>of</strong> veterans but the 25th and 39th largest<br />

populations <strong>of</strong> homeless veterans.<br />

• <strong>The</strong> five major cities with the highest<br />

percentage <strong>of</strong> homeless veterans stay<strong>in</strong>g <strong>in</strong><br />

unsheltered locations were <strong>in</strong> California. Los<br />

Angeles had the highest rate, with 76 percent<br />

<strong>of</strong> homeless veterans stay<strong>in</strong>g <strong>in</strong> unsheltered<br />

locations there.<br />

Cont<strong>in</strong>uums <strong>of</strong> Care (CoC) Were<br />

Divided <strong>in</strong>to Three Geographic<br />

Categories<br />

Major city CoCs (n=48) cover the 50 largest<br />

cities <strong>in</strong> the United States. In two cases<br />

(Phoenix and Mesa, AZ, and Arl<strong>in</strong>gton and<br />

Fort Worth, TX), two large cities were located<br />

<strong>in</strong> the same CoC.<br />

Smaller city, county, and regional CoCs<br />

(n=306) are jurisdictions that are neither one<br />

<strong>of</strong> the 50 largest cities <strong>in</strong> the United States nor<br />

Balance <strong>of</strong> State and Statewide CoCs.<br />

Balance <strong>of</strong> State (BoS) and statewide CoCs<br />

(n=40) are typically composed <strong>of</strong> multiple<br />

rural counties or represent an entire state.<br />

Changes over Time<br />

• Between 2016 and 2017 all <strong>of</strong> the <strong>in</strong>creases<br />

<strong>in</strong> veteran homelessness occurred <strong>in</strong> major<br />

cities. <strong>The</strong> number <strong>of</strong> veterans experienc<strong>in</strong>g<br />

homelessness <strong>in</strong>creased by 12 percent <strong>in</strong> major<br />

cities (2,026 more veterans) but decl<strong>in</strong>ed across<br />

the other two categories <strong>of</strong> CoCs. In major<br />

cities, a 48 percent <strong>in</strong>crease <strong>in</strong> the number <strong>of</strong><br />

unsheltered veterans was only partly <strong>of</strong>fset by<br />

a six percent decl<strong>in</strong>e <strong>in</strong> sheltered veterans.<br />

58


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

• However, s<strong>in</strong>ce these data were collected <strong>in</strong><br />

2009, the number <strong>of</strong> veterans experienc<strong>in</strong>g<br />

homelessness has dropped considerably across<br />

all CoC categories. <strong>The</strong> number <strong>of</strong> veterans<br />

experienc<strong>in</strong>g homelessness dropped by 31<br />

percent <strong>in</strong> major cities and by 29 percent <strong>in</strong><br />

both smaller cities, counties, and regional CoCs<br />

and BoS and statewide CoCs.<br />

• Between 2009 and 2017, both smaller cities,<br />

counties, and regional CoCs and BoS and<br />

statewide CoCs experienced larger decl<strong>in</strong>es<br />

<strong>in</strong> the numbers <strong>of</strong> veterans <strong>in</strong> unsheltered<br />

locations (44% and 40%, respectively) than <strong>in</strong><br />

sheltered locations (19% and 20%). In major<br />

cities the reverse was true. S<strong>in</strong>ce 2009 the<br />

number <strong>of</strong> veterans <strong>in</strong> shelter <strong>in</strong> major cities<br />

decl<strong>in</strong>ed by 43 percent, and by five percent <strong>in</strong><br />

unsheltered locations. This is due <strong>in</strong> large part<br />

to the recent uptick <strong>in</strong> unsheltered veterans <strong>in</strong><br />

major cities.<br />

EXHIBIT 5.9: CoCs with the Largest Numbers <strong>of</strong> Veterans Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

By CoC Category, 2017<br />

Major City CoCs Smaller City, County, and Regional CoCs Balance <strong>of</strong> State and Statewide CoCs<br />

CoC<br />

Total<br />

Homeless<br />

Veterans<br />

CoC<br />

Total<br />

Homeless<br />

Veterans<br />

CoC<br />

Total<br />

Homeless<br />

Veterans<br />

Los Angeles City & County, CA 4,476 Honolulu, HI 449 Texas Balance <strong>of</strong> State 674<br />

Seattle/K<strong>in</strong>g County, WA 1,329<br />

Santa Ana/Anaheim/Orange<br />

County, CA<br />

San Diego City and County, CA 1,067 St.Petersburg/Clearwater/<br />

Largo/P<strong>in</strong>ellas County, FL<br />

Las Vegas/Clark County, NV 691<br />

San Francisco, CA 684<br />

San Jose/Santa Clara City &<br />

County, CA<br />

Asheville/Buncombe County,<br />

NC<br />

Watsonville/Santa Cruz City &<br />

County, CA<br />

405 Wash<strong>in</strong>gton Balance <strong>of</strong> State 383<br />

329 Oregon Balance <strong>of</strong> State 379<br />

239 Colorado Balance <strong>of</strong> State 332<br />

236 Indiana Balance <strong>of</strong> State 287<br />

660 Chester County, PA 224 Arizona Balance <strong>of</strong> State 238<br />

Denver, CO 548 Pasco County, FL 220 Montana Statewide 205<br />

New York City, NY 535<br />

Orlando/Orange, Osceola,<br />

Sem<strong>in</strong>ole Counties, FL<br />

Oakland/Alameda County, CA 531 Pittsfield/Berkshire County, MA 213<br />

Chicago, IL 528<br />

Santa Rosa/Petaluma/Sonoma<br />

County, CA<br />

218 Wiscons<strong>in</strong> Statewide 180<br />

North Carol<strong>in</strong>a Balance <strong>of</strong><br />

State<br />

176<br />

211 Hawaii Balance <strong>of</strong> State 166<br />

59


5Estimates 1National Estimates by CoC<br />

Homeless Veterans<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: PIT 2009-2017<br />

EXHIBIT 5.10: CoCs with the Highest and Lowest Rates <strong>of</strong> Unsheltered Veterans<br />

Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

By CoC Category, 2017<br />

CoC<br />

Highest Rates<br />

Los Angeles City &<br />

Count, CA<br />

Oakland/Alameda<br />

County, CA<br />

Major City CoCs<br />

Total<br />

Homeless<br />

Veterans<br />

Smaller City, County,<br />

and Regional CoCs<br />

Total<br />

%<br />

Unsheltered CoC Homeless<br />

Veterans<br />

4,476 76.1%<br />

531 71.2%<br />

Watsonville/Santa<br />

Cruz City & County,<br />

CA<br />

Santa Ana/Anaheim/<br />

Orange County, CA<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs<br />

Total<br />

%<br />

Unsheltered CoC Homeless<br />

Veterans<br />

236 91.9%<br />

405 88.1%<br />

Hawaii Balance<br />

<strong>of</strong> State<br />

Georgia Balance<br />

<strong>of</strong> State<br />

%<br />

Unsheltered<br />

166 86.1%<br />

157 74.5%<br />

Sacramento City &<br />

County, CA<br />

469 69.7% Pasco County, FL 220 79.5%<br />

Texas Balance <strong>of</strong><br />

State<br />

674 65.9%<br />

San Jose/Santa Clara<br />

City & County CoC,<br />

CA<br />

660 68.5% Eugene/Spr<strong>in</strong>gfield/<br />

Lane County, OR<br />

164 73.2%<br />

Oregon Balance<br />

<strong>of</strong> State<br />

379 63.3%<br />

Fresno/Madera<br />

County, CA<br />

211 58.3% Chico/Paradise/Butte<br />

County, CA<br />

110 72.7% Colorado<br />

Balance <strong>of</strong> State<br />

332 57.5%<br />

Omaha/Council<br />

Bluffs, NE<br />

M<strong>in</strong>neapolis/<br />

Hennep<strong>in</strong>, MN<br />

104 1.0% Somerset County, NJ 100 0.0% Wiscons<strong>in</strong><br />

Balance <strong>of</strong> State<br />

110 2.7% Chester County, PA 224 0.4%<br />

Boston, MA 233 3.4% C<strong>in</strong>c<strong>in</strong>nati/Hamilton,<br />

OH<br />

Memphis/Shelby<br />

County, TN<br />

Indianapolis, IN 328 4.6%<br />

213 4.2% Pittsfield/Berkshire<br />

County, MA<br />

Nassau, Suffolk<br />

Counties/Babylon/<br />

Islip/Hunt<strong>in</strong>gton, NY<br />

Excludes Puerto Rico and U.S. territories, and CoCs with fewer than 100 total homeless veterans.<br />

South Dakota<br />

Statewide<br />

192 1.0% Connecticut<br />

Statewide<br />

213 1.9%<br />

141 2.1%<br />

Ma<strong>in</strong>e Balance<br />

<strong>of</strong> State<br />

Indiana Balance<br />

<strong>of</strong> State<br />

180 5.0%<br />

130 5.4%<br />

143 8.4%<br />

131 8.4%<br />

287 10.8%<br />

60


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 5.11: Veterans Experienc<strong>in</strong>g <strong>Homelessness</strong><br />

By CoC Category and Sheltered Status, 2009–2017<br />

25000<br />

20,922<br />

Major Cities,<br />

Sheltered<br />

20000<br />

19,191<br />

Major Cities,<br />

Unsheltered<br />

16,149<br />

15000<br />

10000<br />

5000<br />

12,960<br />

8,689<br />

4,047<br />

3,404<br />

14,253<br />

13,865<br />

11,296<br />

9,947<br />

8,643<br />

8,595<br />

4,801 4,851<br />

4,034<br />

3,369<br />

13,736<br />

13,444<br />

10,932<br />

10,479<br />

8,336<br />

7,308<br />

5,944 4,900<br />

5,058<br />

4,265<br />

3,239<br />

2,807<br />

2,029<br />

Smaller Cities, Counties,<br />

and Regional CoCs,<br />

Sheltered<br />

Smaller Cities, Counties,<br />

and Regional CoCs,<br />

Unsheltered<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs,<br />

Sheltered<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs,<br />

Unsheltered<br />

0<br />

2009 2011 2013 2015 2017<br />

EXHIBIT 5.12: Change <strong>in</strong> Numbers <strong>of</strong> Homeless Veterans<br />

By Sheltered Status and CoC Category, 2016–2017<br />

Total Change Sheltered Change Unsheltered Change<br />

# % # % # %<br />

Major Cities 2,026 11.8 -660 -5.7 2,686 47.5<br />

Smaller Cities, Counties, and<br />

Regional CoCs<br />

-1,185 -7.2 -1,027 -8.9 -158 -3.1<br />

Balance <strong>of</strong> State and Statewide CoCs -198 -3.6 -22 -0.7 -176 -8.0<br />

61


6National 1National Estimates<br />

<strong>Homelessness</strong> Chronically Homeless <strong>in</strong> the United Individuals States<br />

Data source: PIT 2007–2017<br />

EXHIBIT 6.1: PIT Estimates <strong>of</strong><br />

Chronically Homeless Individuals<br />

By Sheltered Status, 2007–2017<br />

119,813 120,115<br />

107,212<br />

106,062<br />

86,289<br />

86,962<br />

78,045<br />

96,268<br />

83,170<br />

74,697<br />

61,620 62,733 64,551 83,989<br />

63,621 77,486<br />

56,87152,786<br />

60,333<br />

54,815 52,890<br />

41,768 45,418 45,592<br />

43,329<br />

103,522<br />

38,971 32,647<br />

29,418 31,203<br />

28,355 24,596 26,629<br />

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017<br />

Chronically Homeless Individuals<br />

Sheltered Chronically Homeless Individuals<br />

Unsheltered Chronically Homeless Individuals<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• Nearly one-quarter <strong>of</strong> <strong>in</strong>dividuals experienc<strong>in</strong>g<br />

homelessness had chronic patterns <strong>of</strong><br />

150000 homelessness (86,962 <strong>of</strong> 369,081 homeless<br />

<strong>in</strong>dividuals, or 24%).<br />

120000 • Nearly seven <strong>in</strong> ten chronically homeless<br />

<strong>in</strong>dividuals (69% or 60,333 people) were<br />

90000 stay<strong>in</strong>g <strong>in</strong> unsheltered locations such as under<br />

bridges, <strong>in</strong> cars, or <strong>in</strong> abandoned build<strong>in</strong>gs.<br />

60000<br />

This is much higher than the unsheltered rate<br />

for all people experienc<strong>in</strong>g homelessness as<br />

<strong>in</strong>dividuals <strong>in</strong> the United States, which was 48<br />

30000<br />

percent.<br />

S<strong>in</strong>ce 2016:<br />

• For the first time s<strong>in</strong>ce 2008, the number<br />

<strong>of</strong> <strong>in</strong>dividuals with chronic patterns <strong>of</strong><br />

homelessness <strong>in</strong>creased. Between 2016 and<br />

2017, chronic homelessness <strong>in</strong>creased by 12<br />

percent overall (or by 9,476 people), by eight<br />

percent (or 2,033) among sheltered <strong>in</strong>dividuals,<br />

and by 14 percent (or 7,443 people) among<br />

unsheltered <strong>in</strong>dividuals.<br />

• Individuals with chronic patterns <strong>of</strong><br />

homelessness made up a slightly larger share<br />

<strong>of</strong> all homeless <strong>in</strong>dividuals <strong>in</strong> 2017 (24%) than<br />

<strong>in</strong> 2016 (22%).<br />

S<strong>in</strong>ce 2007:<br />

• While chronic homelessness <strong>in</strong>creased recently,<br />

27 percent fewer <strong>in</strong>dividuals had chronic<br />

patterns <strong>of</strong> homelessness <strong>in</strong> 2017 than did <strong>in</strong><br />

2007, a decl<strong>in</strong>e <strong>of</strong> 32,851 people. <strong>The</strong> number<br />

<strong>of</strong> <strong>in</strong>dividuals who were unsheltered and<br />

chronically homeless decreased by 17,712<br />

(23%), and the number <strong>of</strong> sheltered chronically<br />

homeless <strong>in</strong>dividuals decl<strong>in</strong>ed by 15,139 (36%).<br />

• Between 2007 and 2017, the share <strong>of</strong><br />

<strong>in</strong>dividuals experienc<strong>in</strong>g homelessness who<br />

had chronic patterns <strong>of</strong> homelessness decl<strong>in</strong>ed<br />

from 29 percent to 24 percent.<br />

• <strong>The</strong> share <strong>of</strong> chronically homeless <strong>in</strong>dividuals<br />

who were unsheltered was higher <strong>in</strong> 2017<br />

(69%) than <strong>in</strong> 2007 (65%).<br />

0<br />

EXHIBIT 6.2: Change <strong>in</strong> Numbers <strong>of</strong> Chronically Homeless Individuals<br />

By Sheltered Status, 2007–2017<br />

Total Chronically<br />

Homeless Individuals<br />

Sheltered Chronically<br />

Homeless Individuals<br />

Unsheltered<br />

Chronically Homeless<br />

Individuals<br />

Change 2016–2017 Change 2010–2017 Change 2007–2017<br />

# % # % # %<br />

9,476 12.2% -19,100 -18.0% -32,851 -27.4%<br />

2,033 8.3% -16,700 -38.5% -15,139 -36.2%<br />

7,443 14.1% -2,400 -3.8% -17,712 -22.7%<br />

62


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

63


6State 1National Estimates<br />

<strong>Homelessness</strong> Chronically Homeless <strong>in</strong> the United Individuals States<br />

Data source: PIT 2007-2017, Excludes PR and <strong>US</strong> territories<br />

EXHIBIT 6.3: Estimates <strong>of</strong> Chronically Homeless Individuals<br />

By State, 2017<br />

WA<br />

4,357<br />

OR<br />

3,120<br />

NV<br />

502<br />

CA<br />

35,798<br />

AK<br />

216<br />

ID<br />

391<br />

UT<br />

163<br />

AZ<br />

1,463<br />

MT<br />

182<br />

WY<br />

14<br />

CO<br />

2,126<br />

NM<br />

712<br />

ND<br />

37<br />

SD<br />

101<br />

NE<br />

361<br />

KS<br />

252<br />

OK<br />

578<br />

TX<br />

3,497<br />

ME, 189<br />

VT, 111<br />

MN<br />

NH, 100<br />

813<br />

WI<br />

NY MA, 1,238<br />

342 MI<br />

5,087 RI, 240<br />

709<br />

PA<br />

CT, 387<br />

IA<br />

IL OH<br />

NJ,<br />

170<br />

1,372 955<br />

1,355 IN 725<br />

DE, 123<br />

486 WV MD, 1,436<br />

VA<br />

MO<br />

KY 188 864<br />

DC, 1,470<br />

883<br />

383<br />

Share <strong>of</strong> Chronically<br />

NC, 994<br />

Homeless Individuals<br />

TN, 1,295<br />

AR<br />

SC<br />

Less than 1%<br />

450<br />

792<br />

MS AL<br />

1%–2.9%<br />

GA<br />

61 344 963<br />

3%–6%<br />

LA<br />

Greater than 6%<br />

609<br />

FL<br />

4,951<br />

HI<br />

1,588<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• California accounted for 42 percent <strong>of</strong><br />

all <strong>in</strong>dividuals with chronic patterns <strong>of</strong><br />

homelessness <strong>in</strong> the United States, which<br />

is higher than its share <strong>of</strong> all <strong>in</strong>dividuals<br />

experienc<strong>in</strong>g homelessness <strong>in</strong> the United<br />

States (31%). California accounted for more<br />

than half <strong>of</strong> the nation’s unsheltered chronically<br />

homeless <strong>in</strong>dividuals (53%).<br />

• More than half <strong>of</strong> all chronically homeless<br />

<strong>in</strong>dividuals were <strong>in</strong> three states: CA (42%), NY<br />

(6%), and FL (6%).<br />

• In n<strong>in</strong>e states, the percent <strong>of</strong> chronically<br />

homeless <strong>in</strong>dividuals stay<strong>in</strong>g <strong>in</strong> unsheltered<br />

locations exceeded 70 percent, with California<br />

and Hawaii report<strong>in</strong>g the highest rates (88%<br />

and 90%).<br />

• Wyom<strong>in</strong>g and Ma<strong>in</strong>e sheltered all <strong>in</strong>dividuals<br />

with chronic patterns <strong>of</strong> homelessness. Rhode<br />

Island and Indiana also had low rates <strong>of</strong><br />

unsheltered chronic homelessness, with 10<br />

percent <strong>of</strong> <strong>in</strong>dividuals liv<strong>in</strong>g <strong>in</strong> unsheltered<br />

locations <strong>in</strong> Rhode Island and 11 percent <strong>in</strong><br />

Indiana.<br />

• Individuals were most likely to have chronic<br />

patterns <strong>of</strong> homelessness if they were <strong>in</strong><br />

the District <strong>of</strong> Columbia, with 41 percent<br />

<strong>of</strong> homeless <strong>in</strong>dividuals there experienc<strong>in</strong>g<br />

chronic homelessness. Three states had rates<br />

above 30 percent: New Mexico (38%), Hawaii<br />

(35%), and California (32%). <strong>The</strong>se three states<br />

and the District <strong>of</strong> Columbia also had among<br />

the highest rates <strong>of</strong> homeless <strong>in</strong>dividuals with<br />

chronic patterns <strong>of</strong> homelessness <strong>in</strong> 2016.<br />

64


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 6.4: States with the Highest and Lowest Rates <strong>of</strong> Unsheltered Chronically<br />

Homeless Individuals<br />

2017<br />

Highest Rates<br />

HAWAII<br />

CALIFORNIA<br />

MISSISSIPPI<br />

FLORIDA<br />

NEVADA<br />

89.7%<br />

87.6%<br />

78.7%<br />

77.2%<br />

75.9%<br />

1,588 Homeless<br />

1,424 Unsheltered<br />

35,798 Homeless<br />

31,368 Unsheltered<br />

61 Homeless<br />

48 Unsheltered<br />

4,951 Homeless<br />

3,824 Unsheltered<br />

502 Homeless<br />

381 Unsheltered<br />

Lowest Rates<br />

MAINE<br />

WYOMING<br />

RHODE ISLAND<br />

INDIANA<br />

WISCONSIN<br />

0.0%<br />

0.0%<br />

10.4%<br />

11.1%<br />

19.6%<br />

189 Homeless<br />

0 Unsheltered<br />

14 Homeless<br />

0 Unsheltered<br />

240 Homeless<br />

25 Unsheltered<br />

486 Homeless<br />

54 Unsheltered<br />

342 Homeless<br />

67 Unsheltered<br />

EXHIBIT 6.5: Largest Change <strong>in</strong> the Numbers <strong>of</strong> Chronically Homeless Individuals<br />

By State, 2007–2017<br />

2016–2017 2007–2017<br />

Largest Increases<br />

CALIFORNIA 5,996 / 20.1% WASHINGTON 1,754 / 67.4%<br />

WASHINGTON 2,050 / 88.9% HAWAII 810 / 104.1%<br />

NEW YORK 975 / 23.7% IDAHO 296 / 311.6%<br />

COLORADO 484 / 29.5% OREGON 291 / 10.3%<br />

ILLINOIS 418 / 44.6% SOUTH CAROLINA 219 / 38.2%<br />

Largest Decreases<br />

GEORGIA -695 / -41.9% CALIFORNIA -4,543 / -11.3%<br />

FLORIDA -464 / -8.6% TEXAS -4,434 / -55.9%<br />

TENNESSEE -345 / -21.0% FLORIDA -2,512 / -33.7%<br />

NEW HAMPSHIRE -127 / -55.9% OHIO -1,583 / -68.6%<br />

SOUTH CAROLINA -121 / -13.3% NEW JERSEY -1,570 / -62.2%<br />

Due to methodological changes, Michigan was excluded from the list <strong>of</strong> largest changes 2007-2017.<br />

65


6State 1National Estimates<br />

<strong>Homelessness</strong> Chronically Homeless <strong>in</strong> the United Individuals States<br />

Data source: PIT 2007–2017; Excludes Puerto Rico and U.S. territories<br />

Changes Over Time<br />

• Over half <strong>of</strong> all states, 28, experienced an<br />

<strong>in</strong>crease between 2016 and 2017 <strong>in</strong> the<br />

number <strong>of</strong> <strong>in</strong>dividuals with chronic patterns <strong>of</strong><br />

homelessness. California by far had the largest<br />

<strong>in</strong>crease, with 5,996 more chronically homeless<br />

<strong>in</strong>dividuals <strong>in</strong> 2017 than <strong>in</strong> 2016. <strong>The</strong> next<br />

largest <strong>in</strong>crease occurred <strong>in</strong> Wash<strong>in</strong>gton, with<br />

2,050 more <strong>in</strong>dividuals with chronic patterns <strong>of</strong><br />

homelessness there <strong>in</strong> 2017. Other states with<br />

the largest absolute <strong>in</strong>creases were: New York<br />

(975), Colorado (484), and Ill<strong>in</strong>ois (418).<br />

• Of the 22 states and the District <strong>of</strong> Columbia<br />

that had decl<strong>in</strong>es <strong>in</strong> the number <strong>of</strong> chronically<br />

homeless <strong>in</strong>dividuals between 2016 and 2017,<br />

the largest absolute decreases occurred <strong>in</strong><br />

Georgia (695 fewer people), Florida (464), and<br />

Tennessee (345).<br />

• Over a longer period <strong>of</strong> time, 2007-2017,<br />

38 states and the District <strong>of</strong> Columbia had<br />

decreases <strong>in</strong> chronic homelessness among<br />

<strong>in</strong>dividuals. California experienced the largest<br />

decl<strong>in</strong>e <strong>in</strong> the number <strong>of</strong> chronically homeless<br />

<strong>in</strong>dividuals, with 4,543 fewer chronically<br />

homeless <strong>in</strong>dividuals <strong>in</strong> 2017 than <strong>in</strong> 2007.<br />

Texas also experienced a considerable<br />

decl<strong>in</strong>e, with 4,434 fewer chronically<br />

homeless <strong>in</strong>dividuals. Other states with large<br />

absolute decl<strong>in</strong>es were: Florida (2,512 fewer<br />

people), Ohio (1,583), New Jersey (1,570),<br />

Massachusetts (1,552), and Georgia (1,521).<br />

• Among the 12 states that experienced <strong>in</strong>creases<br />

<strong>in</strong> the number <strong>of</strong> <strong>in</strong>dividuals with chronic<br />

patterns <strong>of</strong> homelessness between 2007 and<br />

2017, the largest absolute <strong>in</strong>creases occurred<br />

<strong>in</strong> Wash<strong>in</strong>gton, with 1,754 more chronically<br />

homeless <strong>in</strong>dividuals <strong>in</strong> 2017 than <strong>in</strong> 2007.<br />

Other states with large absolute <strong>in</strong>creases<br />

were: Hawaii (810 more chronically homeless<br />

<strong>in</strong>dividuals), Idaho (296), and Oregon (291).<br />

More than half <strong>of</strong> all chronically<br />

homeless <strong>in</strong>dividuals were <strong>in</strong> three<br />

states: CA (42%), NY (6%), and FL<br />

(6%).<br />

66


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

67 67


6Estimates 1National Estimates by CoC<br />

<strong>Homelessness</strong> Chronically Homeless <strong>in</strong> the United Individuals States<br />

Data source: PIT 2007-2017<br />

Balance <strong>of</strong> State and Statewide CoCs<br />

Smaller Cities, Counties, and Regional CoCs<br />

Major Cities<br />

EXHIBIT 6.6: Chronically Homeless<br />

Individuals<br />

0 100<br />

By CoC Category and Sheltered Status, 2017<br />

All Chronically<br />

Homeless<br />

Sheltered<br />

Chronically Homeless<br />

Individuals<br />

Unsheltered<br />

Chronically Homeless<br />

Individuals<br />

0% 100%<br />

Major Cities<br />

51.2<br />

57.3<br />

33.3 9.4<br />

36.3<br />

12.5<br />

60.1 31.9 8.0<br />

Smaller City, County, and Regional CoCs<br />

Balance <strong>of</strong> State and Statewide CoCs<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• Los Angeles had the largest number<br />

<strong>of</strong> <strong>in</strong>dividuals with chronic patterns <strong>of</strong><br />

homelessness, with 19 percent <strong>of</strong> the nation’s<br />

chronically homeless <strong>in</strong>dividuals, 16,016 people.<br />

New York City had the second largest number,<br />

with 4,401 <strong>in</strong>dividuals with chronic patterns <strong>of</strong><br />

homelessness.<br />

• Major city CoCs accounted for 57 percent<br />

<strong>of</strong> all <strong>in</strong>dividuals with chronic patterns <strong>of</strong><br />

homelessness, smaller cities, counties and<br />

regional CoCs had 33 percent, and BoS and<br />

statewide CoCs accounted for n<strong>in</strong>e percent <strong>of</strong><br />

chronically homeless <strong>in</strong>dividuals.<br />

• Major cities accounted for a larger share <strong>of</strong> the<br />

chronically homeless <strong>in</strong>dividual population<br />

found <strong>in</strong> places not suitable for human<br />

habitation, (60%) than <strong>of</strong> the sheltered chronic<br />

population (51%).<br />

• Boston, MA had the lowest percentage<br />

<strong>of</strong> <strong>in</strong>dividuals with chronic patterns <strong>of</strong><br />

homelessness who were unsheltered, at seven<br />

percent. Ma<strong>in</strong>e BoS reported no unsheltered<br />

chronically homeless <strong>in</strong>dividuals on the night <strong>of</strong><br />

the count. Among smaller cities, counties, and<br />

regional CoCs, Cambridge, MA reported the<br />

lowest unsheltered rate (14%) followed closely<br />

by Grand Rapids, MI (15%).<br />

• <strong>The</strong> District <strong>of</strong> Columbia and Long Beach,<br />

CA had the highest rates <strong>of</strong> chronic<br />

homelessness among homeless <strong>in</strong>dividuals<br />

<strong>of</strong> major cities, each with 41 percent. While<br />

Los Angeles and New York had the largest<br />

numbers <strong>of</strong> <strong>in</strong>dividuals with chronic patterns<br />

<strong>of</strong> homelessness, their rates <strong>of</strong> chronic<br />

homelessness were not among the highest<br />

(34% <strong>in</strong> Los Angeles and 14% <strong>in</strong> New York).<br />

• Among smaller cities, counties, and regional<br />

CoCs, Hendry, Hardee, and Highlands<br />

Counties <strong>in</strong> Florida had the highest rate <strong>of</strong><br />

chronic homelessness among <strong>in</strong>dividuals<br />

(63%) followed by Norman, OK (61%). In New<br />

Mexico BoS, almost half (48%) <strong>of</strong> <strong>in</strong>dividuals<br />

experienc<strong>in</strong>g homelessness had chronic<br />

patterns <strong>of</strong> homelessness, the highest rate <strong>of</strong> its<br />

CoC category.<br />

Cont<strong>in</strong>uums <strong>of</strong> Care (CoC) Were<br />

Divided <strong>in</strong>to Three Geographic<br />

Categories<br />

Major city CoCs (n=48) cover the 50 largest<br />

cities <strong>in</strong> the United States. In two cases<br />

(Phoenix and Mesa, AZ, and Arl<strong>in</strong>gton and<br />

Fort Worth, TX), two large cities were located<br />

<strong>in</strong> the same CoC.<br />

Smaller city, county, and regional CoCs<br />

(n=306) are jurisdictions that are neither one<br />

<strong>of</strong> the 50 largest cities <strong>in</strong> the United States nor<br />

Balance <strong>of</strong> State and Statewide CoCs.<br />

Balance <strong>of</strong> State (BoS) and statewide CoCs<br />

(n=40) are typically composed <strong>of</strong> multiple<br />

rural counties or represent an entire state.<br />

68


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 6.7: CoCs with the Largest Numbers <strong>of</strong> Chronically Homeless Individuals<br />

By CoC Category, 2017<br />

CoC<br />

Major City CoCs Smaller City, County, and Regional CoCs Balance <strong>of</strong> State and Statewide CoCs<br />

Total<br />

Chronically<br />

Homeless<br />

Individuals<br />

CoC<br />

Total<br />

Chronically<br />

Homeless<br />

Individuals<br />

CoC<br />

Total<br />

Chronically<br />

Homeless<br />

Individuals<br />

Los Angeles City & County, CA 16,016 Honolulu, HI 1,037 Wash<strong>in</strong>gton Balance <strong>of</strong> State 834<br />

New York City, NY 4,401 Sal<strong>in</strong>as/Monterey, San Benito<br />

Counties, CA<br />

Seattle/K<strong>in</strong>g County, WA 2,483 Santa Ana/Anaheim/Orange<br />

County, CA<br />

San Francisco, CA 2,112 St. Petersburg/Clearwater/<br />

Largo/P<strong>in</strong>ellas County, FL<br />

San Diego City and County, CA 2,088 Santa Rosa/Petaluma/Sonoma<br />

County, CA<br />

San Jose/Santa Clara City &<br />

County, CA<br />

2,018 Eugene/Spr<strong>in</strong>gfield/Lane<br />

County, OR<br />

Oakland/Alameda County, CA 1,620 Ft Lauderdale/Broward County,<br />

FL<br />

District <strong>of</strong> Columbia 1,470 Watsonville/Santa Cruz City &<br />

County, CA<br />

Portland-Gresham-Multnomah<br />

County, OR<br />

1,240 Chico/Paradise/Butte County<br />

CoC, CA<br />

900 Texas Balance <strong>of</strong> State 764<br />

873 Colorado Balance <strong>of</strong> State 722<br />

690 Oregon Balance <strong>of</strong> State 668<br />

577 Hawaii Balance <strong>of</strong> State 551<br />

568 New Mexico Balance <strong>of</strong> State 368<br />

558 Arizona Balance <strong>of</strong> State 358<br />

525 Connecticut Balance <strong>of</strong> State 339<br />

495 North Carol<strong>in</strong>a Balance <strong>of</strong> State 321<br />

Sacramento City & County, CA 1,091 Vallejo/Solano County, CA 425 Indiana Balance <strong>of</strong> State 305<br />

Changes Over Time<br />

• Between 2016 and 2017, the number<br />

<strong>of</strong> <strong>in</strong>dividuals with chronic patterns <strong>of</strong><br />

homelessness <strong>in</strong>creased both <strong>in</strong> major cities and<br />

<strong>in</strong> smaller cities, counties, and regional CoCs,<br />

while it dropped <strong>in</strong> BoS and statewide CoCs.<br />

• Increases between 2016 and 2017 were steepest<br />

<strong>in</strong> major cities, with 9,234 more chronically<br />

homeless <strong>in</strong>dividuals <strong>in</strong> those CoCs (a 23%<br />

rise). Major cities experienced <strong>in</strong>creases <strong>in</strong><br />

the number <strong>of</strong> sheltered chronically homeless<br />

<strong>in</strong>dividuals (14% <strong>in</strong>crease) and unsheltered<br />

chronically homeless <strong>in</strong>dividuals (27%).<br />

• Los Angeles, CA experienced the largest<br />

<strong>in</strong>crease, with 3,046 more <strong>in</strong>dividuals with<br />

chronic patterns <strong>of</strong> homelessness <strong>in</strong> 2017 than<br />

<strong>in</strong> 2016 -- 33 percent <strong>of</strong> the total <strong>in</strong>crease <strong>in</strong> the<br />

major cities CoC category. Of the 48 CoCs <strong>in</strong> the<br />

major cities category, 29 experienced <strong>in</strong>creases<br />

and 19 experienced decl<strong>in</strong>es, signify<strong>in</strong>g that<br />

these <strong>in</strong>creases were not accounted for by only<br />

a few CoCs. Between 2007 and 2017, the numer<br />

<strong>of</strong> people with chronic patterns <strong>of</strong> homelessness<br />

fell nationally by 27 percent. Decl<strong>in</strong>es occurred<br />

across CoC types, with a 14 percent decl<strong>in</strong>e<br />

<strong>in</strong> major cities, 39 percent decrease <strong>in</strong> smaller<br />

cities, counties and regional CoCs, and a 38<br />

percent decl<strong>in</strong>e <strong>in</strong> BoS or statewide CoCs.<br />

• While the number <strong>of</strong> unsheltered <strong>in</strong>dividuals<br />

with chronic patterns <strong>of</strong> homelessness <strong>in</strong><br />

major cities <strong>in</strong> 2017 was lower than it was <strong>in</strong><br />

2007, it has risen steadily s<strong>in</strong>ce 2014. Much <strong>of</strong><br />

the variability is related to fluctuations <strong>in</strong> the<br />

number <strong>of</strong> unsheltered chronically homelessness<br />

<strong>in</strong>dividuals <strong>in</strong> Los Angeles. Remov<strong>in</strong>g Los<br />

Angeles from analysis shows unsheltered<br />

chronic homelessness <strong>in</strong> major cities decl<strong>in</strong><strong>in</strong>g<br />

each year between 2011 and 2016, but<br />

<strong>in</strong>creas<strong>in</strong>g by 34 percent <strong>in</strong> the last year.<br />

69


6Estimates 1National Estimates by CoC<br />

<strong>Homelessness</strong> Chronically Homeless <strong>in</strong> the United Individuals States<br />

Data source: PIT 2007-2017, Excludes Puerto Rico and U.S. Territories<br />

EXHIBIT 6.8: CoCs with the Highest and Lowest Rates <strong>of</strong> Unsheltered Chronically<br />

Homeless Individuals<br />

By CoC Category, 2017<br />

CoC<br />

Highest Rates<br />

Los Angeles City &<br />

County, CA<br />

Fresno/Madera<br />

County, CA<br />

San Jose/Santa Clara<br />

City & County, CA<br />

Major City CoCs<br />

Total<br />

Chronically<br />

Homeless<br />

Individuals<br />

Smaller City, County,<br />

and Regional CoCs a<br />

Total<br />

%<br />

Unsheltered CoC Chronically<br />

Homeless<br />

Individuals<br />

16,016 95.4% Hendry, Hardee,<br />

Highlands Counties,<br />

FL<br />

688 93.5% Ocala/Marion<br />

County, FL<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs<br />

Total<br />

%<br />

Unsheltered CoC Chronically<br />

Homeless<br />

Individuals<br />

236 100.0% Hawaii Balance<br />

<strong>of</strong> State<br />

137 100.0% Arizona Balance<br />

<strong>of</strong> State<br />

2,018 87.1% Amarillo, TX 112 100.0% Georgia Balance<br />

<strong>of</strong> State<br />

%<br />

Unsheltered<br />

551 95.1%<br />

358 83.5%<br />

210 79.0%<br />

Oakland/Alameda<br />

County, CA<br />

1,620 86.8% Merced City &<br />

County, CA<br />

120 99.2% Texas Balance <strong>of</strong><br />

State<br />

764 78.1%<br />

San Antonio/Bexar<br />

County, TX<br />

646 85.3% Lake County, CA 134 98.5% Wash<strong>in</strong>gton<br />

Balance <strong>of</strong> State<br />

834 75.9%<br />

Lowest Rates<br />

Boston, MA 526 7.2% Cambridge, MA 181 14.4% Ma<strong>in</strong>e Balance<br />

<strong>of</strong> State<br />

Omaha/Council<br />

Bluffs, NE<br />

M<strong>in</strong>neapolis/<br />

Hennep<strong>in</strong> County,<br />

MN<br />

Dallas City &<br />

County/Irv<strong>in</strong>g, TX<br />

276 13.8% Grand Rapids/<br />

Wyom<strong>in</strong>g/Kent<br />

County, MI<br />

318 18.6% Pittsburgh/<br />

McKeesport/Penn<br />

Hills/Allegheny<br />

County, PA<br />

511 20.7% Yonkers/<br />

Mount Vernon/<br />

New Rochelle/<br />

Westchester, NY<br />

108 14.8% Indiana Balance<br />

<strong>of</strong> State<br />

117 16.2% Rhode Island<br />

Statewide<br />

109 16.5% Wiscons<strong>in</strong><br />

Balance <strong>of</strong> State<br />

Indianapolis, IN 181 23.2% Boise/Ada County, ID 302 18.9% South Dakota<br />

Statewide<br />

189 0.0%<br />

305 3.9%<br />

240 10.4%<br />

169 16.0%<br />

101 19.8%<br />

a<br />

Excludes CoCs with less than 100 total chronically homeless <strong>in</strong>dividuals.<br />

Los Angeles, CA experienced the<br />

largest <strong>in</strong>crease, with 3,046 more<br />

<strong>in</strong>dividuals with chronic patterns <strong>of</strong><br />

homelessness <strong>in</strong> 2017 than <strong>in</strong> 2016<br />

70


5000<br />

<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

EXHIBIT 6.9: Individuals with Chronic Patterns <strong>of</strong> <strong>Homelessness</strong><br />

By CoC Category and Sheltered Status, 2007–2017<br />

40000<br />

39,160<br />

35,517<br />

Major Cities,<br />

Sheltered<br />

35000<br />

30000<br />

25000<br />

20000<br />

15000<br />

10000<br />

5000<br />

0<br />

29,514<br />

28,221<br />

27,271<br />

29703<br />

25,477<br />

25,629 25,769<br />

20,034<br />

23,843<br />

17,673<br />

17,383<br />

19,996<br />

19,162<br />

18,848<br />

17,531<br />

16,279 13,237 12,949 13,536<br />

11,720 11,505<br />

7,006<br />

7,654<br />

5,803<br />

6,041 6,083<br />

9,611<br />

4,718<br />

5,979 5,712 5,056<br />

4,204<br />

3,702<br />

3,313<br />

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017<br />

Major Cities,<br />

Unsheltered<br />

Smaller Cities, Counties,<br />

and Regional CoCs,<br />

Sheltered<br />

Smaller Cities, Counties,<br />

and Regional CoCs,<br />

Unsheltered<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs,<br />

Sheltered<br />

Balance <strong>of</strong> State<br />

and Statewide CoCs,<br />

Unsheltered<br />

EXHIBIT 6.10: Change <strong>in</strong> Numbers <strong>of</strong> Chronically Homeless Individuals<br />

By Sheltered Status and CoC Category, 2016–2017<br />

40000<br />

Total Change Sheltered Change Unsheltered Change<br />

# % # % # %<br />

Major Cities 9,234 23.2% 1,646 13.8% 7,588 27.2%<br />

35000 Smaller City, County, and Regional<br />

CoCs<br />

1,000 3.6% 126 1.3% 874 4.9%<br />

Balance <strong>of</strong> State and Statewide CoCs -513 -6.0% 303 10.1% -816 -14.7%<br />

30000<br />

25000<br />

20000<br />

15000<br />

10000<br />

71<br />

Balance <strong>of</strong> State and Statewide CoCs, Unsh


7Inventory 1National Estimates <strong>of</strong> Beds<br />

<strong>in</strong> the United States<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: HIC 2007–2017<br />

EXHIBIT 7.1: Inventory <strong>of</strong> Beds for Homeless<br />

and Formerly Homeless People<br />

2007–2017<br />

353,800<br />

340,906<br />

318,673<br />

300,282<br />

284,298<br />

267,106 274,786 277,537<br />

264,440264,629<br />

236,798<br />

238,708 249,497<br />

219,381 225,840 229,206<br />

211,451 211,222<br />

214,425 221,610 197,192<br />

211,205 205,062207,589 185,332<br />

188,636 195,724 200,623 201,879<br />

173,224<br />

159,784<br />

144,749<br />

120,249<br />

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017<br />

Emergency Shelter<br />

Transitional Hous<strong>in</strong>g<br />

Permanent Supportive Hous<strong>in</strong>g<br />

Note: <strong>The</strong> number <strong>of</strong> Permanent Supportive Hous<strong>in</strong>g beds <strong>in</strong> 2015 is lower<br />

than orig<strong>in</strong>ally reported <strong>in</strong> the 2015 AHAR. <strong>The</strong> PSH <strong>in</strong>ventory was reduced<br />

by 539 beds <strong>in</strong> the Riverside City and County CoC.<br />

400000<br />

This section describes the nation’s capacity to<br />

350000 house homeless and formerly homeless people<br />

us<strong>in</strong>g hous<strong>in</strong>g <strong>in</strong>ventory data submitted by<br />

300000 communities each year. <strong>The</strong>se data provide<br />

estimates <strong>of</strong> the number <strong>of</strong> beds for two types<br />

250000<br />

<strong>of</strong> projects available on the night <strong>of</strong> the Po<strong>in</strong>t-<strong>in</strong>-<br />

Time count:<br />

200000<br />

1. Shelter projects, serv<strong>in</strong>g people currently<br />

150000 experienc<strong>in</strong>g homelessness: Emergency<br />

Shelters, Transitional Hous<strong>in</strong>g projects, and<br />

100000<br />

Safe Havens<br />

2. Permanent Hous<strong>in</strong>g projects, serv<strong>in</strong>g<br />

formerly homeless people: Rapid<br />

Rehous<strong>in</strong>g, Permanent Supportive Hous<strong>in</strong>g,<br />

and Other Permanent Hous<strong>in</strong>g<br />

EXHIBIT 7.2: Distribution <strong>of</strong> Bed Inventory<br />

By Type, 2017<br />

Rapid<br />

Rehous<strong>in</strong>g<br />

Transitional<br />

Hous<strong>in</strong>g<br />

44.3%<br />

Beds for People<br />

Experienc<strong>in</strong>g<br />

<strong>Homelessness</strong><br />

Other<br />

Permanent<br />

Hous<strong>in</strong>g<br />

10.4%<br />

13.4%<br />

5.8%<br />

30.9%<br />

Emergency<br />

Shelter<br />

Permanent<br />

Supportive<br />

Hous<strong>in</strong>g<br />

39.4%<br />

55.6%<br />

Permanent<br />

Hous<strong>in</strong>g Beds<br />

Note: <strong>The</strong> small share <strong>of</strong> Safe Haven beds (0.1%) not <strong>in</strong>cluded <strong>in</strong> this exhibit.<br />

On a S<strong>in</strong>gle Night <strong>in</strong> January 2017<br />

• 899,059 beds available on a year-round basis<br />

were available <strong>in</strong> emergency shelters (ES), safe<br />

havens (SH), transitional hous<strong>in</strong>g (TH), rapid<br />

rehous<strong>in</strong>g (RRH), permanent supportive hous<strong>in</strong>g<br />

(PSH), or other permanent hous<strong>in</strong>g (OPH).<br />

• For the second consecutive year, a larger share<br />

<strong>of</strong> beds was dedicated to hous<strong>in</strong>g people who<br />

were formerly experienc<strong>in</strong>g homelessness (56%)<br />

rather than to provid<strong>in</strong>g temporary places to<br />

stay <strong>in</strong> <strong>in</strong> emergency shelters, safe havens, or<br />

transitional hous<strong>in</strong>g programs (44%).<br />

• Of the 399,439 beds dedicated to shelter<strong>in</strong>g<br />

people currently experienc<strong>in</strong>g homelessness, 70<br />

percent were ES beds, and 30 percent were TH<br />

beds. Less than one percent <strong>of</strong> these beds were<br />

provided through SH projects (0.4%).<br />

• Of the 499,620 beds <strong>in</strong> hous<strong>in</strong>g for formerly<br />

homeless people, 71 percent were <strong>in</strong> PSH.<br />

Smaller shares were <strong>in</strong> RRH (19%) and OPH<br />

(10%).<br />

72


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

Beds by Household Type, 2017<br />

• Communities were asked to identify the<br />

number <strong>of</strong> beds targeted to households with<br />

adults and children (i.e., families), households<br />

without children (i.e., adult-only households),<br />

and households with only children.<br />

• ES beds targeted families and adult-only<br />

households <strong>in</strong> approximately equal proportions,<br />

51 and 48 percent.<br />

• TH beds were also evenly split, with 50 percent<br />

dedicated to families and 49 percent to adultonly<br />

households.<br />

• RRH was <strong>in</strong>itially designed to primarily serve<br />

families. In recent years, RRH has been also<br />

targeted to <strong>in</strong>dividuals, veterans, and youth. In<br />

2017, nearly three-quarters <strong>of</strong> RRH beds (73%)<br />

were targeted to people <strong>in</strong> families.<br />

• Almost two-thirds (64%) <strong>of</strong> PSH beds were<br />

targeted to adult-only households, while about<br />

two-thirds (65%) <strong>of</strong> OPH beds were targeted to<br />

families.<br />

• Beds target<strong>in</strong>g child-only households were<br />

rarer—only 4,042 beds <strong>in</strong> total—but were most<br />

prevalent <strong>in</strong> ES projects.<br />

EXHIBIT 7.3: Project Types for Homeless and Formerly Homeless People<br />

SHELTER FOR HOMELESS PEOPLE<br />

Emergency Shelter (ES): is a facility with the primary<br />

purpose <strong>of</strong> provid<strong>in</strong>g temporary shelter for homeless<br />

people<br />

Transitional Hous<strong>in</strong>g (TH): typically provides<br />

homeless people with up to 24 months <strong>of</strong> shelter and<br />

supportive services<br />

Safe Haven (SH): provides temporary shelter and<br />

services to hard-to-serve <strong>in</strong>dividuals<br />

PERMANENT HO<strong>US</strong>ING FOR FORMERLY<br />

HOMELESS PEOPLE<br />

Rapid Rehous<strong>in</strong>g (RRH): is a hous<strong>in</strong>g model designed<br />

to provide temporary hous<strong>in</strong>g assistance to people<br />

experienc<strong>in</strong>g homelessness, mov<strong>in</strong>g them quickly out<br />

<strong>of</strong> homelessness and <strong>in</strong>to permanent hous<strong>in</strong>g<br />

Permanent Supportive Hous<strong>in</strong>g (PSH): provides<br />

long-term hous<strong>in</strong>g with supportive services for<br />

formerly homeless people with disabilities, and <strong>of</strong>ten<br />

those with chronic patterns <strong>of</strong> homelessness<br />

Other Permanent Hous<strong>in</strong>g (OPH): provides hous<strong>in</strong>g<br />

with or without services that is specifically for formerly<br />

homeless people but that does not require people to<br />

have a disability<br />

EXHIBIT 7.4: Inventory <strong>of</strong> Beds<br />

By Household Type, 2017<br />

Beds for Adult-Only<br />

Households<br />

Beds for People <strong>in</strong><br />

Families<br />

Beds for Child-Only<br />

Households<br />

Total Year-Round<br />

Beds<br />

# % # % # % # %<br />

Emergency Shelter 133,344 48.0% 141,350 50.9% 2,843 1.0% 277,537 30.9%<br />

Transitional Hous<strong>in</strong>g 59,294 49.3% 59,936 49.8% 1,019 0.8% 120,249 13.4%<br />

Safe Haven 1,653 100.0% 0 0.0% 1,653 0.2%<br />

Rapid Rehous<strong>in</strong>g 24,893 26.6% 68,789 73.4% 36 0.0% 93,718 10.4%<br />

Permanent Supportive Hous<strong>in</strong>g 227,523 64.3% 126,186 35.7% 91 0.0% 353,800 39.4%<br />

Other Permanent Hous<strong>in</strong>g 17,969 34.5% 34,080 65.4% 53 0.1% 52,102 5.8%<br />

Total Beds 464,676 51.7% 430,341 47.9% 4,042 0.4% 899,059 100%<br />

73


7Inventory 1National Estimates <strong>of</strong> Beds<br />

<strong>in</strong> the United States<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: HIC 2007–2017<br />

EXHIBIT 7.5: Inventory <strong>of</strong> Beds Dedicated to Specific Populations<br />

By Household Type, 2007–2017<br />

Bed Type<br />

Total Beds<br />

Beds Dedicated<br />

to People with<br />

Chronic Patterns <strong>of</strong><br />

<strong>Homelessness</strong><br />

Beds Dedicated to<br />

Veterans<br />

Beds Dedicated to<br />

Youth*<br />

# % # % # %<br />

Emergency Shelter 277,537 4,756 1.7% 6,140 2.2%<br />

Transitional Hous<strong>in</strong>g 120,249 15,681 13.0% 10,077 8.4%<br />

Safe Haven 1,653 314 19.0% 8 0.5%<br />

Rapid Rehous<strong>in</strong>g 93,718 18,281 19.5% 2,323 2.5%<br />

Permanent Supportive Hous<strong>in</strong>g 353,800 149,005 42.1% 100,652 28.4% 4,117 1.2%<br />

Other Permanent Hous<strong>in</strong>g 52,102 1,857 3.6% 627 1.2%<br />

Major Cities Total Beds 899,059 149,005 16.6% 141,541 15.7% 23,292 2.6%<br />

* Beds dedicated to youth are beds set aside by programs to serve people under the age <strong>of</strong> 25 unless there are no people under 25 present.<br />

ounties, and Regional CoCs In the case <strong>of</strong> parent<strong>in</strong>g youth, these beds <strong>in</strong>clude beds for their children<br />

f State and Statewide CoCs<br />

EXHIBIT 7.6: Distribution <strong>of</strong> Beds<br />

0 100<br />

By Type and CoC Category*<br />

Major Cities<br />

Smaller Cities,<br />

Counties, and Regional<br />

Cocs<br />

Balance <strong>of</strong> State and<br />

Statewide Cocs<br />

0% 100%<br />

26.0<br />

Emergency Shelter<br />

Transitional Hous<strong>in</strong>g<br />

Rapid Rehous<strong>in</strong>g<br />

34.1 11.2 8.3 41.0 5.3<br />

14.9<br />

12.0<br />

40.2<br />

33.0 16.8 13.4 31.6<br />

Permanent Supportive Hous<strong>in</strong>g<br />

Other Permanent Hous<strong>in</strong>g<br />

*Excludes SH, which accounts for 0.1 or 0.2% <strong>of</strong> beds <strong>in</strong> all three CoC types<br />

Beds Targeted to Specific Populations,<br />

2017<br />

• PSH programs may dedicate all or a subset <strong>of</strong><br />

their <strong>in</strong>ventory to people with chronic patterns<br />

<strong>of</strong> homelessness. In 2017, there were 149,005<br />

PSH beds dedicated to people experienc<strong>in</strong>g<br />

chronic homelessness, represent<strong>in</strong>g 42 percent<br />

<strong>of</strong> all PSH beds.<br />

• Sixteen percent <strong>of</strong> all beds (141,541 beds) were<br />

dedicated to households with veterans. More<br />

than seven <strong>in</strong> ten beds dedicated to veterans<br />

were PSH beds. PSH beds dedicated to veterans<br />

accounted for 28 percent <strong>of</strong> all PSH beds.<br />

6.6<br />

5.2<br />

• <strong>The</strong>re were 23,292 beds targeted to<br />

unaccompanied youth and families with youth<br />

parents (where all members are under the age<br />

<strong>of</strong> 25). Of these beds, 43 percent (or 10,077)<br />

were <strong>in</strong> TH, represent<strong>in</strong>g about eight percent <strong>of</strong><br />

all TH beds.<br />

Beds by CoC Category, 2017<br />

• In major cities, 55 percent <strong>of</strong> all beds were <strong>in</strong><br />

permanent hous<strong>in</strong>g (RRH, PSH, OPH), and 45<br />

percent <strong>in</strong> shelters (ES, TH, SH). In smaller<br />

cities, counties, and regional CoCs, 59 percent<br />

<strong>of</strong> beds were <strong>in</strong> permanent hous<strong>in</strong>g, and<br />

permanent hous<strong>in</strong>g beds represented half <strong>of</strong> all<br />

beds <strong>in</strong> BoS and statewide CoCs.<br />

• In all three categories <strong>of</strong> CoCs, PSH beds<br />

represented the majority <strong>of</strong> the <strong>in</strong>ventory <strong>of</strong><br />

permanent hous<strong>in</strong>g projects, but they were<br />

most prevalent <strong>in</strong> major city CoCs (75%).<br />

• Consider<strong>in</strong>g the <strong>in</strong>ventory for both currently<br />

and formerly homeless people, <strong>in</strong> major cities,<br />

PSH beds accounted for the largest share <strong>of</strong> the<br />

hous<strong>in</strong>g <strong>in</strong>ventory (41%), followed by ES beds<br />

(34%).<br />

• Similarly, PSH represented 40 percent <strong>of</strong> the<br />

<strong>in</strong>ventory <strong>in</strong> smaller cities, counties, and<br />

regional CoCs, but ES beds comprised a<br />

74


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

smaller share <strong>of</strong> the bed <strong>in</strong>ventory (26%) than<br />

the other CoC types.<br />

• In BoS and statewide CoCs, PSH does not<br />

represent the largest share <strong>of</strong> beds. In these<br />

CoCs, ES represents 33 percent <strong>of</strong> their<br />

<strong>in</strong>ventory, followed by PSH (32%). BoS and<br />

statewide CoCs have the largest share <strong>of</strong> TH<br />

beds (17%) and RRH beds (13%).<br />

S<strong>in</strong>ce 2016<br />

• Between 2016 and 2017, the total <strong>in</strong>ventory<br />

<strong>of</strong> year-round beds for people currently or<br />

formerly experienc<strong>in</strong>g homelessness <strong>in</strong>creased<br />

by 31,957 beds, a five percent <strong>in</strong>crease driven<br />

primarily by growth <strong>in</strong> the permanent hous<strong>in</strong>g<br />

<strong>in</strong>ventory.<br />

• <strong>The</strong> number <strong>of</strong> beds <strong>in</strong> shelter projects (ES,<br />

TH, and SH) decl<strong>in</strong>ed by 11,846 beds, or three<br />

percent. <strong>The</strong> number <strong>of</strong> ES beds <strong>in</strong>creased<br />

by 12,908 beds (or 5%), but the TH <strong>in</strong>ventory<br />

decl<strong>in</strong>ed by almost twice that marg<strong>in</strong>, with<br />

24,500 fewer beds (a 17% decrease). <strong>The</strong><br />

number <strong>of</strong> SH beds also decreased, by 254<br />

beds.<br />

• <strong>The</strong> <strong>in</strong>ventory <strong>in</strong> hous<strong>in</strong>g for people formerly<br />

experienc<strong>in</strong>g homelessness grew by 43,803<br />

beds, or 10 percent. Each project type<br />

experienced <strong>in</strong>creases s<strong>in</strong>ce 2016: 16,577 more<br />

beds <strong>in</strong> RRH (a 22% <strong>in</strong>crease), 12,894 more<br />

beds <strong>in</strong> PSH (4%), and 14,332 more beds <strong>in</strong> OPH<br />

(38%).<br />

• <strong>The</strong> number <strong>of</strong> PSH beds dedicated to serv<strong>in</strong>g<br />

people experienc<strong>in</strong>g chronic homelessness<br />

<strong>in</strong>creased by 37,615 beds (34%).<br />

• <strong>The</strong> number <strong>of</strong> beds dedicated to veteran<br />

households <strong>in</strong>creased by 12,251 (10%), and the<br />

number <strong>of</strong> beds dedicated to unaccompanied<br />

youth and families with youth parents<br />

<strong>in</strong>creased by 2,089 (10%).<br />

EXHIBIT 7.7: Change <strong>in</strong> the National Inventory <strong>of</strong> Beds<br />

By Project Type, 2007-2017<br />

Change 2016-2017 Change 2007-2017<br />

# % # %<br />

Total Beds 31,957 3.7% 287,767 47.1%<br />

Emergency Shelter 12,908 4.9% 66,086 31.3%<br />

Transitional Hous<strong>in</strong>g -24,500 -16.9% -90,956 -43.1%<br />

Safe Haven -254 -13.3%<br />

Rapid Rehous<strong>in</strong>g 16,577 21.5%<br />

Permanent Supportive<br />

Hous<strong>in</strong>g<br />

Other Permanent<br />

Hous<strong>in</strong>g<br />

12,894 3.8% 165,164 87.6%<br />

14,332 37.9%<br />

75


7Inventory 1National Estimates <strong>of</strong> Beds<br />

<strong>in</strong> the United States<br />

<strong>Homelessness</strong> <strong>in</strong> the United States<br />

Data source: HIC 2007–2017<br />

EXHIBIT 7.8: Inventory <strong>of</strong> PSH Beds for Chronically Homeless People<br />

2007-2017<br />

149,005<br />

111,390<br />

95,066<br />

94,282<br />

33.8%<br />

17.2% 37,615<br />

81,666<br />

74,693<br />

0.8% 16,324<br />

67,964<br />

15.5% 784<br />

9.3% 12,616<br />

50,602<br />

55,256<br />

9.9%<br />

42,298<br />

23.0%<br />

6,973<br />

37,807<br />

6,729<br />

9.2% 12,708<br />

19.6%<br />

11.9%<br />

4,654<br />

8,304<br />

4,491<br />

2007–2017<br />

294.1%<br />

111,198<br />

2007 2008 2009 2010 2011 2012<br />

2013 2014<br />

2015 2016 2017<br />

S<strong>in</strong>ce 2007<br />

• <strong>The</strong>re were 287,767 more beds <strong>in</strong> 2017 for<br />

people currently or formerly experienc<strong>in</strong>g<br />

homelessness than there were <strong>in</strong> 2007, an<br />

<strong>in</strong>crease <strong>of</strong> 47 percent.<br />

• In 2007, there were about as many ES beds<br />

(211,451) as there were TH beds (211,205).<br />

Over time, the ES <strong>in</strong>ventory <strong>in</strong>creased, more<br />

resources were devoted to permanent hous<strong>in</strong>g,<br />

and the TH <strong>in</strong>ventory decl<strong>in</strong>ed. Between 2007<br />

and 2017, the number <strong>of</strong> TH beds dropped by<br />

43 percent.<br />

• <strong>The</strong> number <strong>of</strong> PSH beds has risen each year<br />

s<strong>in</strong>ce 2007, as communities have <strong>in</strong>creas<strong>in</strong>gly<br />

devoted resources to PSH. Over the ten-year<br />

period from 2007 to 2017, the PSH <strong>in</strong>ventory<br />

grew by 165,164 beds <strong>in</strong> total, an <strong>in</strong>crease <strong>of</strong> 88<br />

percent.<br />

• Much <strong>of</strong> the <strong>in</strong>crease <strong>in</strong> PSH beds is for<br />

beds target<strong>in</strong>g people experienc<strong>in</strong>g chronic<br />

homelessness. <strong>The</strong> number <strong>of</strong> those beds<br />

<strong>in</strong>creased dramatically between 2007 and 2017;<br />

111,198 PSH beds for chronically homeless<br />

people were added <strong>in</strong> this 10-year period, a 294<br />

percent <strong>in</strong>crease.<br />

76


<strong>The</strong> 2017 Annual Homeless Assessment Report to Congress: Part 1<br />

77


Appendix<br />

ALABAMA<br />

-7.7%<br />

change from 2016<br />

-37.3%<br />

change from 2010<br />

8 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

30.0%<br />

70.0%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

2,985 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

808 with children<br />

unaccompanied<br />

294 homeless youth<br />

n Unsheltered (1,137)<br />

n Sheltered (2,656)<br />

269 veterans<br />

Total Homeless, 2017<br />

3,793<br />

chronically homeless<br />

344 <strong>in</strong>dividuals<br />

ALASKA<br />

-4.9%<br />

change from 2016<br />

-1.0%<br />

change from 2010<br />

25 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

15.9%<br />

84.1%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

1,354 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

491 with children<br />

unaccompanied<br />

162 homeless youth<br />

n Unsheltered (294)<br />

n Sheltered (1,551)<br />

124 veterans<br />

ARIZONA<br />

Total Homeless, 2017<br />

1,845<br />

-7.8%<br />

change from 2017<br />

-34.7%<br />

change from 2010<br />

13 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

35.4%<br />

64.6%<br />

chronically homeless<br />

216 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

6,488 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

2,459 with children<br />

unaccompanied<br />

578 homeless youth<br />

n Unsheltered (3,166)<br />

n Sheltered (5,781)<br />

970 veterans<br />

78<br />

Total Homeless, 2017<br />

8,947<br />

chronically homeless<br />

1,463 <strong>in</strong>dividuals


ARKANSAS<br />

+0.2%<br />

change from 2016<br />

-10.7%<br />

change from 2010<br />

8 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

48.4%<br />

51.6%<br />

Appendix<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

2,068 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

399 with children<br />

unaccompanied<br />

208 homeless youth<br />

n Unsheltered (1,194)<br />

n Sheltered (1,273)<br />

239 veterans<br />

Total Homeless, 2017<br />

2,467<br />

CALIFORNIA<br />

+13.7%<br />

change from 2016<br />

+8.7%<br />

change from 2010<br />

34 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

68.2%<br />

31.8%<br />

chronically homeless<br />

450 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

112,756 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

21,522 with children<br />

unaccompanied<br />

15,458 homeless youth<br />

n Unsheltered (91,642)<br />

n Sheltered (42,636)<br />

11,472 veterans<br />

Total Homeless, 2017<br />

134,278<br />

chronically homeless<br />

35,798 <strong>in</strong>dividuals<br />

COLORADO<br />

3.7%<br />

change from 2016<br />

-29.3%<br />

change from 2010<br />

20 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

35.3%<br />

64.7%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

7,571 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

3,369 with children<br />

unaccompanied<br />

763 homeless youth<br />

n Unsheltered (3,859)<br />

n Sheltered (7,081)<br />

1,078 veterans<br />

Total Homeless, 2017<br />

10,940<br />

chronically homeless<br />

2,126 <strong>in</strong>dividuals<br />

79


Appendix<br />

CONNECTICUT<br />

-13.2%<br />

change from 2016<br />

-21.5%<br />

change from 2010<br />

10 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

12.3%<br />

87.7%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

2,208 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

1,180 with children<br />

unaccompanied<br />

170 homeless youth<br />

Total Homeless, 2017<br />

3,388<br />

DELAWARE<br />

-7.1%<br />

change from 2016<br />

+1.2%<br />

change from 2010<br />

n Unsheltered (416)<br />

n Sheltered (2,972)<br />

10 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

5.8%<br />

94.2%<br />

191 veterans<br />

chronically homeless<br />

387 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

615 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

379 with children<br />

unaccompanied<br />

45 homeless youth<br />

Total Homeless, 2017<br />

994<br />

n Unsheltered (58)<br />

n Sheltered (936)<br />

91 veterans<br />

chronically homeless<br />

123 <strong>in</strong>dividuals<br />

DISTRICT OF COLUMBIA<br />

110 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

-10.5%<br />

change from 2016<br />

+14.3%<br />

change from 2010<br />

12.0%<br />

88.0%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

3,583 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

3,890 with children<br />

unaccompanied<br />

228 homeless youth<br />

80<br />

Total Homeless, 2017<br />

7,473<br />

n Unsheltered (897)<br />

n Sheltered (6,576)<br />

285 veterans<br />

chronically homeless<br />

1,470 <strong>in</strong>dividuals


FLORIDA<br />

-4.1%<br />

change from 2016<br />

-44.1%<br />

change from 2010<br />

16 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

46.8%<br />

53.2%<br />

Appendix<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

22,768 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

9,422 with children<br />

unaccompanied<br />

2,019 homeless youth<br />

n Unsheltered (15,079)<br />

n Sheltered (17,111)<br />

2,817 veterans<br />

GEORGIA<br />

Total Homeless, 2017<br />

32,190<br />

-21.2%<br />

change from 2016<br />

-48.7%<br />

change from 2010<br />

10 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

34.6%<br />

65.4%<br />

chronically homeless<br />

4,951 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

7,422 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

2,752 with children<br />

unaccompanied<br />

526 homeless youth<br />

n Unsheltered (3,523)<br />

n Sheltered (6,651)<br />

712 veterans<br />

Total Homeless, 2017<br />

10,174<br />

chronically homeless<br />

963 <strong>in</strong>dividuals<br />

HAWAII<br />

-8.8%<br />

change from 2016<br />

+23.8%<br />

change from 2010<br />

51 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

52.6%<br />

47.4%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

4,535 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

2,685 with children<br />

unaccompanied<br />

319 homeless youth<br />

n Unsheltered (3,800)<br />

n Sheltered (3,420)<br />

615 veterans<br />

Total Homeless, 2017<br />

7,220<br />

chronically homeless<br />

1,588 <strong>in</strong>dividuals<br />

81


Appendix<br />

IDAHO<br />

-9.3%<br />

change from 2016<br />

-13.2%<br />

change from 2010<br />

12 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

31.4%<br />

68.6%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

1,309 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

728 with children<br />

unaccompanied<br />

113 homeless youth<br />

n Unsheltered (639)<br />

n Sheltered (1,398)<br />

228 veterans<br />

ILLINOIS<br />

Total Homeless, 2017<br />

2,037<br />

-6.8%<br />

change from 2016<br />

-25.0%<br />

change from 2010<br />

8 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

20.9%<br />

79.1%<br />

chronically homeless<br />

391 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

6,894 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

3,904 with children<br />

unaccompanied<br />

730 homeless youth<br />

n Unsheltered (2,257)<br />

n Sheltered (8,541)<br />

864 veterans<br />

Total Homeless, 2017<br />

10,798<br />

chronically homeless<br />

1,355 <strong>in</strong>dividuals<br />

INDIANA<br />

-6.2%<br />

change from 2016<br />

-15.7%<br />

change from 2010<br />

8 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

10.5%<br />

89.5%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

3,623 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

1,815 with children<br />

unaccompanied<br />

294 homeless youth<br />

82<br />

Total Homeless, 2017<br />

5,438<br />

n Unsheltered (569)<br />

n Sheltered (4,869)<br />

615 veterans<br />

chronically homeless<br />

486 <strong>in</strong>dividuals


IOWA<br />

-10.1%<br />

change from 2016<br />

-8.6%<br />

change from 2010<br />

9 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

3.8%<br />

96.2%<br />

Appendix<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

1,500 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

1,256 with children<br />

unaccompanied<br />

140 homeless youth<br />

KANSAS<br />

Total Homeless, 2017<br />

2,756<br />

+1.4%<br />

change from 2016<br />

+13.0%<br />

change from 2010<br />

n Unsheltered (104)<br />

n Sheltered (2,652)<br />

8 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

15.1%<br />

84.9%<br />

171 veterans<br />

chronically homeless<br />

170 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

1,423 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

864 with children<br />

unaccompanied<br />

103 homeless youth<br />

Total Homeless, 2017<br />

2,287<br />

n Unsheltered (345)<br />

n Sheltered (1,942)<br />

217 veterans<br />

chronically homeless<br />

252 <strong>in</strong>dividuals<br />

KENTUCKY<br />

-5.0%<br />

change from 2016<br />

-39.2%<br />

change from 2010<br />

9 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

18.1%<br />

81.9%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

3,032 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

993 with children<br />

unaccompanied<br />

253 homeless youth<br />

n Unsheltered (727)<br />

n Sheltered (3,298)<br />

489 veterans<br />

Total Homeless, 2017<br />

4,025<br />

chronically homeless<br />

383 <strong>in</strong>dividuals<br />

83


Appendix<br />

LOUISIANA<br />

-17.3%<br />

change from 2016<br />

-73.5%<br />

change from 2010<br />

7 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

29.5%<br />

70.5%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

2,559 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

746 with children<br />

unaccompanied<br />

236 homeless youth<br />

n Unsheltered (975)<br />

n Sheltered 2,330)<br />

383 veterans<br />

Total Homeless, 2017<br />

3,305<br />

chronically homeless<br />

609 <strong>in</strong>dividuals<br />

MAINE<br />

+1.7%<br />

change from 2016<br />

-4.2%<br />

change from 2010<br />

17 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

7.9%<br />

92.1%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

1,352 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

928 with children<br />

unaccompanied<br />

178 homeless youth<br />

Total Homeless, 2017<br />

2,280<br />

n Unsheltered (180)<br />

n Sheltered (2,100)<br />

131 veterans<br />

chronically homeless<br />

189 <strong>in</strong>dividuals<br />

MARYLAND<br />

-5.7%<br />

change from 2016<br />

-33.2%<br />

change from 2010<br />

12 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

24.0%<br />

76.0%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

5,077 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

2,170 with children<br />

unaccompanied<br />

272 homeless youth<br />

n Unsheltered (1,736)<br />

n Sheltered (5,511)<br />

536 veterans<br />

84<br />

Total Homeless, 2017<br />

7,247<br />

chronically homeless<br />

1,436 <strong>in</strong>dividuals


MASSACH<strong>US</strong>ETTS<br />

-10.4%<br />

change from 2016<br />

+5.5%<br />

change from 2010<br />

26 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

5.6%<br />

94.4%<br />

Appendix<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

6,267 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

11,298 with children<br />

unaccompanied<br />

469 homeless youth<br />

MICHIGAN<br />

Total Homeless, 2017<br />

17,565<br />

-2.8%<br />

change from 2016<br />

-30.7%<br />

change from 2010<br />

n Unsheltered (991)<br />

n Sheltered (16,574)<br />

9 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

11.3%<br />

88.7%<br />

853 veterans<br />

chronically homeless<br />

1,238 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

5,628 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

3,423 with children<br />

unaccompanied<br />

608 homeless youth<br />

Total Homeless, 2017<br />

9,051<br />

MINNESOTA<br />

+4.5%<br />

change from 2016<br />

-2.6%<br />

change from 2010<br />

n Unsheltered (1,023)<br />

n Sheltered (8,028)<br />

14 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

14.4%<br />

85.6%<br />

773 veterans<br />

chronically homeless<br />

709 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

3,899 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

3,769 with children<br />

unaccompanied<br />

889 homeless youth<br />

Total Homeless, 2017<br />

7,668<br />

n Unsheltered (1,108)<br />

n Sheltered (6,560)<br />

281 veterans<br />

chronically homeless<br />

813 <strong>in</strong>dividuals<br />

85


Appendix<br />

MISSISSIPPI<br />

-15.3%<br />

change from 2016<br />

-46.3%<br />

change from 2010<br />

5 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

48.8%<br />

51.2%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

1,100 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

372 with children<br />

unaccompanied<br />

59 homeless youth<br />

n Unsheltered (719)<br />

n Sheltered (753)<br />

57 veterans<br />

MISSOURI<br />

Total Homeless, 2017<br />

1,472<br />

-2.5%<br />

change from 2016<br />

-25.7%<br />

change from 2010<br />

10 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

19.1%<br />

80.9%<br />

chronically homeless<br />

61 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

3,768 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

2,269 with children<br />

unaccompanied<br />

548 homeless youth<br />

n Unsheltered (1,152)<br />

n Sheltered (4,885)<br />

538 veterans<br />

MONTANA<br />

Total Homeless, 2017<br />

6,037<br />

+7.8%<br />

change from 2016<br />

-5.3%<br />

change from 2010<br />

15 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

35.6%<br />

64.4%<br />

chronically homeless<br />

883 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

987 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

542 with children<br />

unaccompanied<br />

106 homeless youth<br />

n Unsheltered (544)<br />

n Sheltered (985)<br />

205 veterans<br />

86<br />

Total Homeless, 2017<br />

1,529<br />

chronically homeless<br />

182 <strong>in</strong>dividuals


NEBRASKA<br />

-9.2%<br />

change from 2016<br />

-35.5%<br />

change from 2010<br />

13 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

4.8%<br />

95.2%<br />

1,698 <strong>in</strong>dividuals<br />

Appendix<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

people <strong>in</strong> families<br />

803 with children<br />

unaccompanied<br />

164 homeless youth<br />

NEVADA<br />

Total Homeless, 2017<br />

2,501<br />

+5.9%<br />

change from 2016<br />

-30.1%<br />

change from 2010<br />

n Unsheltered (120)<br />

n Sheltered (2,381)<br />

27 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

58.4%<br />

41.6%<br />

174 veterans<br />

chronically homeless<br />

361 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

7,281 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

552 with children<br />

unaccompanied<br />

2,166 homeless youth<br />

n Unsheltered (4,578)<br />

n Sheltered (3,255)<br />

832 veterans<br />

Total Homeless, 2017<br />

7,833<br />

NEW HAMPSHIRE<br />

+6.6%<br />

change from 2016<br />

-7.5%<br />

change from 2010<br />

11 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

12.0%<br />

88.0%<br />

chronically homeless<br />

502 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

776 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

680 with children<br />

unaccompanied<br />

76 homeless youth<br />

Total Homeless, 2017<br />

1,456<br />

n Unsheltered (174)<br />

n Sheltered (1,282)<br />

124 veterans<br />

chronically homeless<br />

100 <strong>in</strong>dividuals<br />

87


Appendix<br />

NEW JERSEY<br />

-4.0%<br />

change from 2016<br />

-37.9%<br />

change from 2010<br />

10 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

16.6%<br />

83.4%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

5,433 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

3,103 with children<br />

unaccompanied<br />

492 homeless youth<br />

n Unsheltered (1,414)<br />

n Sheltered (7,122)<br />

583 veterans<br />

Total Homeless, 2017<br />

8,536<br />

NEW MEXICO<br />

+9.7%<br />

change from 2016<br />

-28.6%<br />

change from 2010<br />

12 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

32.1%<br />

67.9%<br />

chronically homeless<br />

955 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

1,865 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

617 with children<br />

unaccompanied<br />

181 homeless youth<br />

n Unsheltered (796)<br />

n Sheltered (1,686)<br />

248 veterans<br />

Total Homeless, 2017<br />

2,482<br />

NEW YORK<br />

+3.6%<br />

change from 2016<br />

+36.4%<br />

change from 2010<br />

45 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

5.1%<br />

94.9%<br />

chronically homeless<br />

712 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

37,390 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

52,113 with children<br />

unaccompanied<br />

2,829 homeless youth<br />

88<br />

Total Homeless, 2017<br />

89,503<br />

n Unsheltered (4,555)<br />

n Sheltered (84,948)<br />

1,244 veterans<br />

chronically homeless<br />

5,087 <strong>in</strong>dividuals


NORTH CAROLINA<br />

-6.2%<br />

change from 2016<br />

-26.5%<br />

change from 2010<br />

9 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

27.3%<br />

72.7%<br />

6,044 <strong>in</strong>dividuals<br />

Appendix<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

people <strong>in</strong> families<br />

2,918 with children<br />

unaccompanied<br />

434 homeless youth<br />

Total Homeless, 2017<br />

8,962<br />

NORTH DAKOTA<br />

+18.0%<br />

change from 2016<br />

+36.3%<br />

change from 2010<br />

n Unsheltered (2,451)<br />

n Sheltered (6,511)<br />

14 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

30.4%<br />

69.6%<br />

931 veterans<br />

chronically homeless<br />

994 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

832 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

257 with children<br />

unaccompanied<br />

80 homeless youth<br />

n Unsheltered (331)<br />

n Sheltered (758)<br />

74 veterans<br />

OHIO<br />

Total Homeless, 2017<br />

1,089<br />

-3.0%<br />

change from 2016<br />

-19.7%<br />

change from 2010<br />

9 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

13.0%<br />

87.0%<br />

chronically homeless<br />

37 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

6,688 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

3,407 with children<br />

unaccompanied<br />

695 homeless youth<br />

Total Homeless, 2017<br />

10,095<br />

n Unsheltered (1,309)<br />

n Sheltered (8,786)<br />

862 veterans<br />

chronically homeless<br />

725 <strong>in</strong>dividuals<br />

89


Appendix<br />

OKLAHOMA<br />

+2.2%<br />

change from 2016<br />

-19.7%<br />

change from 2010<br />

11 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

26.6%<br />

73.4%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

2,824 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

1,375 with children<br />

unaccompanied<br />

363 homeless youth<br />

n Unsheltered (1,115)<br />

n Sheltered (3,084)<br />

349 veterans<br />

OREGON<br />

Total Homeless, 2017<br />

4,199<br />

+5.4%<br />

change from 2016<br />

-28.4%<br />

change from 2010<br />

34 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

57.1%<br />

42.9%<br />

chronically homeless<br />

578 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

10,434 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

3,519 with children<br />

unaccompanied<br />

1,462 homeless youth<br />

n Unsheltered (7,967)<br />

n Sheltered (5,986)<br />

1,251 veterans<br />

Total Homeless, 2017<br />

13,953<br />

PENNSYLVANIA<br />

-7.8%<br />

change from 2016<br />

-2.6%<br />

change from 2010<br />

11 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

12.7%<br />

87.3%<br />

chronically homeless<br />

3,120 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

8,271 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

5,867 with children<br />

unaccompanied<br />

756 homeless youth<br />

90<br />

Total Homeless, 2017<br />

14,138<br />

n Unsheltered (1,798)<br />

n Sheltered (12,340)<br />

963 veterans<br />

chronically homeless<br />

1,372 <strong>in</strong>dividuals


RHODE ISLAND<br />

+1.7%<br />

change from 2016<br />

-8.0%<br />

change from 2010<br />

11 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

5.8%<br />

94.2%<br />

802 <strong>in</strong>dividuals<br />

Appendix<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

people <strong>in</strong> families<br />

378 with children<br />

unaccompanied<br />

49 homeless youth<br />

Total Homeless, 2017<br />

1,180<br />

SOUTH CAROLINA<br />

-22.5%<br />

change from 2016<br />

-12.5%<br />

change from 2010<br />

n Unsheltered (69)<br />

n Sheltered (1,111)<br />

8 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

38.3%<br />

61.7%<br />

95 veterans<br />

chronically homeless<br />

240 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

2,896 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

1,020 with children<br />

unaccompanied<br />

173 homeless youth<br />

Total Homeless, 2017<br />

3,916<br />

SOUTH DAKOTA<br />

-12.0%<br />

change from 2016<br />

+29.0%<br />

change from 2010<br />

n Unsheltered (1,501)<br />

n Sheltered (2,415)<br />

11 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

18.1%<br />

81.9%<br />

480 veterans<br />

chronically homeless<br />

792 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

611 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

332 with children<br />

unaccompanied<br />

66 homeless youth<br />

n Unsheltered (171)<br />

n Sheltered (772)<br />

130 veterans<br />

Total Homeless, 2017<br />

943<br />

chronically homeless<br />

101 <strong>in</strong>dividuals<br />

91


Appendix<br />

TENNESSEE<br />

-5.4%<br />

change from 2016<br />

-19.1%<br />

change from 2010<br />

13 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

33.3%<br />

66.7%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

6,137 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

2,172 with children<br />

unaccompanied<br />

457 homeless youth<br />

n Unsheltered (2,765)<br />

n Sheltered (5,544)<br />

757 veterans<br />

TEXAS<br />

Total Homeless, 2017<br />

8,309<br />

+1.8%<br />

change from 2016<br />

-33.0%<br />

change from 2010<br />

9 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

36.1%<br />

63.9%<br />

chronically homeless<br />

1,295 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

16,708 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

6,840 with children<br />

unaccompanied<br />

1,318 homeless youth<br />

n Unsheltered (8,493)<br />

n Sheltered (15,055)<br />

2,200 veterans<br />

UTAH<br />

Total Homeless, 2017<br />

23,548<br />

+1.6%<br />

change from 2016<br />

-13.2%<br />

change from 2010<br />

9 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

9.7%<br />

90.3%<br />

chronically homeless<br />

3,497 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

1,882 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

970 with children<br />

unaccompanied<br />

180 homeless youth<br />

92<br />

Total Homeless, 2017<br />

2,852<br />

n Unsheltered (278)<br />

n Sheltered (2,574)<br />

220 veterans<br />

chronically homeless<br />

163 <strong>in</strong>dividuals


VERMONT<br />

+9.7%<br />

change from 2016<br />

+0.4%<br />

change from 2010<br />

20 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

10.9%<br />

89.1%<br />

697 <strong>in</strong>dividuals<br />

Appendix<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

people <strong>in</strong> families<br />

528 with children<br />

unaccompanied<br />

94 homeless youth<br />

VIRGINIA<br />

Total Homeless, 2017<br />

1,225<br />

-3.2%<br />

change from 2016<br />

-33.2%<br />

change from 2010<br />

n Unsheltered (134)<br />

n Sheltered (1,091)<br />

7 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

16.6%<br />

83.4%<br />

94 veterans<br />

chronically homeless<br />

111 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

4,028 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

2,039 with children<br />

unaccompanied<br />

303 homeless youth<br />

n Unsheltered (1,008)<br />

n Sheltered (5,059)<br />

478 veterans<br />

Total Homeless, 2017<br />

6,067<br />

WASHINGTON<br />

+1.4%<br />

change from 2016<br />

-7.7%<br />

change from 2010<br />

29 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

40.7%<br />

59.3%<br />

chronically homeless<br />

864 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

14,781 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

6,331 with children<br />

unaccompanied<br />

2,135 homeless youth<br />

Total Homeless, 2017<br />

21,112<br />

n Unsheltered (8,591)<br />

n Sheltered (12,521)<br />

2,093 veterans<br />

chronically homeless<br />

4,357 <strong>in</strong>dividuals<br />

93


Appendix<br />

WEST VIRGINIA<br />

-5.6%<br />

change from 2016<br />

-42.2%<br />

change from 2010<br />

7 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

14.4%<br />

85.6%<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

1,032 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

277 with children<br />

unaccompanied<br />

79 homeless youth<br />

Total Homeless, 2017<br />

1,309<br />

WISCONSIN<br />

-11.6%<br />

change from 2016<br />

-20.6%<br />

change from 2010<br />

n Unsheltered (188)<br />

n Sheltered (1,121)<br />

9 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

6.8%<br />

93.2%<br />

137 veterans<br />

chronically homeless<br />

188 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

2,645 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

2,382 with children<br />

unaccompanied<br />

276 homeless youth<br />

WYOMING<br />

Total Homeless, 2017<br />

5,027<br />

+1.9%<br />

change from 2016<br />

+50.8%<br />

change from 2010<br />

n Unsheltered (340)<br />

n Sheltered (4,687)<br />

15 <strong>in</strong> every 10,000<br />

people were experienc<strong>in</strong>g<br />

homelessness<br />

41.6%<br />

58.4%<br />

329 veterans<br />

chronically homeless<br />

342 <strong>in</strong>dividuals<br />

Estimates <strong>of</strong> <strong>Homelessness</strong><br />

622 <strong>in</strong>dividuals<br />

people <strong>in</strong> families<br />

251 with children<br />

unaccompanied<br />

62 homeless youth<br />

n Unsheltered (363)<br />

n Sheltered (510)<br />

63 veterans<br />

94<br />

Total Homeless, 2017<br />

873<br />

chronically homeless<br />

14 <strong>in</strong>dividuals


<strong>The</strong> U.S. Department <strong>of</strong><br />

Hous<strong>in</strong>g and Urban Development<br />

OFFICE OF COMMUNITY PLANNING AND DEVELOPMENT


Page 261 <strong>of</strong> 289


Attachment B<br />

End<strong>in</strong>g Chronic <strong>Homelessness</strong><br />

Page 262 <strong>of</strong> 289


End<strong>in</strong>g Chronic <strong>Homelessness</strong> <strong>in</strong> 2017<br />

No one with a disability should have to experience long-term homelessness.<br />

<strong>The</strong> Opportunity<br />

<strong>The</strong> President’s FY 2016 Budget request <strong>in</strong>cludes an <strong>in</strong>crease <strong>of</strong> $265 million <strong>in</strong> HUD’s Homeless Assistance Grants. If funded by Congress,<br />

this would help to create the supportive hous<strong>in</strong>g necessary to achieve an end to chronic homelessness <strong>in</strong> 2017. Do<strong>in</strong>g so will not only<br />

save and improve quality <strong>of</strong> lives, it will also save money. End<strong>in</strong>g chronic homelessness could reduce avoidable public costs such as<br />

avoidable emergency department visits, jail, and shelter costs.<br />

<strong>The</strong> Need<br />

On any given night, nearly 85,000 Americans with disabl<strong>in</strong>g<br />

health conditions who have been homeless for long periods<br />

<strong>of</strong> time—some for years or decades—can be found sleep<strong>in</strong>g<br />

on our streets, <strong>in</strong> shelters, or other places not meant for<br />

human habitation. <strong>The</strong>se men and women experienc<strong>in</strong>g<br />

chronic homelessness commonly have a comb<strong>in</strong>ation <strong>of</strong><br />

mental health problems, substance use disorders, and<br />

medical conditions that worsen over time and too <strong>of</strong>ten lead<br />

to an early death.<br />

Without connections to the right types <strong>of</strong> care, they cycle <strong>in</strong><br />

and out <strong>of</strong> hospital emergency departments and <strong>in</strong>patient<br />

beds, detox programs, jails, prisons, and psychiatric<br />

<strong>in</strong>stitutions—all at high public expense. Some studies have<br />

found that leav<strong>in</strong>g a person to rema<strong>in</strong> chronically homeless<br />

costs taxpayers as much as $30,000 to $50,000 per year.<br />

<strong>The</strong> Solution<br />

<strong>The</strong>re is a proven solution to chronic homelessness:<br />

Supportive Hous<strong>in</strong>g. Supportive hous<strong>in</strong>g has been shown to<br />

help people permanently stay out <strong>of</strong> homelessness,<br />

improve health conditions, and, by reduc<strong>in</strong>g their use <strong>of</strong><br />

crisis services, lower public costs. Numerous studies have<br />

shown that it is cheaper to provide people experienc<strong>in</strong>g<br />

chronic homelessness with supportive hous<strong>in</strong>g than to have<br />

them rema<strong>in</strong> homeless.<br />

Based on this overwhelm<strong>in</strong>g evidence, the Obama<br />

Adm<strong>in</strong>istration has cont<strong>in</strong>ued the effort begun by the prior<br />

Adm<strong>in</strong>istration to achieve an end to chronic homelessness<br />

through the creation <strong>of</strong> supportive hous<strong>in</strong>g. In 2010, the<br />

Adm<strong>in</strong>istration set a goal to end chronic homelessness, and<br />

has focused on <strong>in</strong>creas<strong>in</strong>g the supply <strong>of</strong> supportive hous<strong>in</strong>g<br />

and promot<strong>in</strong>g the adoption <strong>of</strong> Hous<strong>in</strong>g First practices that<br />

help people obta<strong>in</strong> hous<strong>in</strong>g quickly and without barriers and<br />

preconditions.<br />

Source: Culhane, Metraux, and Hadley (2002)<br />

usich.gov


Progress to Date<br />

S<strong>in</strong>ce 2010, the number <strong>of</strong> people experienc<strong>in</strong>g chronic homelessness on any given night has decl<strong>in</strong>ed by 22,892, or 21 percent.<br />

S<strong>in</strong>ce 2007, the number <strong>of</strong> sheltered <strong>in</strong>dividuals experienc<strong>in</strong>g chronic homelessness decl<strong>in</strong>ed by 25 percent, or 10,565 people, and<br />

the number <strong>of</strong> <strong>in</strong>dividuals experienc<strong>in</strong>g chronic homelessness who are unsheltered decl<strong>in</strong>ed by 33 percent, or 25,632 people.<br />

Communities—like the State <strong>of</strong> Utah—are announc<strong>in</strong>g that they have achieved an end to chronic homelessness. Progress across the<br />

country is uneven, however, and <strong>in</strong> most communities today, there are not enough supportive hous<strong>in</strong>g units to end chronic<br />

homelessness. Shortfalls <strong>in</strong> the Federal budget, <strong>in</strong>clud<strong>in</strong>g through sequestration, have made it impossible to achieve the goal<br />

nationally by the orig<strong>in</strong>al deadl<strong>in</strong>e <strong>of</strong> 2015.<br />

<strong>The</strong> Strategy<br />

<strong>The</strong> Adm<strong>in</strong>istration rema<strong>in</strong>s committed to this goal, and has reset the timeframe for achiev<strong>in</strong>g it from 2015 to 2017. To achieve this<br />

goal <strong>in</strong> this timeframe, Federal agencies are work<strong>in</strong>g with national partners and communities to:<br />

<br />

<br />

<br />

<br />

Create more supportive hous<strong>in</strong>g by redirect<strong>in</strong>g exist<strong>in</strong>g hous<strong>in</strong>g resources<br />

Leverage Medicaid and behavioral health systems to provide supportive services<br />

Improve the target<strong>in</strong>g <strong>of</strong> supportive hous<strong>in</strong>g units to people experienc<strong>in</strong>g chronic homelessness<br />

Implement best practices like Hous<strong>in</strong>g First and assertive outreach and engagement.<br />

However, even the most aggressive use <strong>of</strong> exist<strong>in</strong>g resources still leaves a gap <strong>of</strong> 25,500 supportive hous<strong>in</strong>g units. <strong>The</strong> requested <strong>in</strong>crease<br />

<strong>of</strong> $265 million <strong>in</strong> HUD’s budget will fill this gap and enable communities to achieve an end to chronic homelessness nationally.<br />

<strong>The</strong> Data<br />

Estimates <strong>of</strong> People Experienc<strong>in</strong>g Chronic <strong>Homelessness</strong><br />

By State, 2014<br />

SOURCE: HUD 2014 Annual Homeless Assessment Report to Congress<br />

Contact<br />

(202) 708-4663 | 1275 First Street, NE, Suite 227 | Wash<strong>in</strong>gton, DC 20552 | usich.gov


Page 263 <strong>of</strong> 289


Attachment C<br />

State and Local Recommendations<br />

Page 264 <strong>of</strong> 289


January 2005 Report No. 05-01<br />

<strong>Economic</strong> Impact <strong>of</strong> <strong>Homelessness</strong> Is Significant;<br />

Improvements Needed at State and Local Levels<br />

at a glance<br />

<strong>The</strong> economic impact <strong>of</strong> homelessness <strong>in</strong> Florida is<br />

significant, with the state, local, and federal<br />

governments spend<strong>in</strong>g at least $168 million annually for<br />

programs and services to assist the homeless. This<br />

total excludes expenses <strong>in</strong>curred by local entities such<br />

as the police, courts, emergency service providers,<br />

hospital emergency rooms, and some private charities<br />

<strong>in</strong> deal<strong>in</strong>g with homeless persons, as these costs are<br />

not tracked by homeless coalitions, service providers,<br />

or government agencies.<br />

Statewide, Florida is do<strong>in</strong>g well <strong>in</strong> obta<strong>in</strong><strong>in</strong>g dedicated<br />

federal fund<strong>in</strong>g for the homeless. However, some areas<br />

<strong>of</strong> the state have not done well <strong>in</strong> access<strong>in</strong>g federal<br />

fund<strong>in</strong>g.<br />

State agencies assist local homeless efforts by<br />

provid<strong>in</strong>g technical assistance, direct services, and<br />

fund<strong>in</strong>g. However, some state agency practices and<br />

adm<strong>in</strong>istrative requirements <strong>of</strong> ma<strong>in</strong>stream programs<br />

could be improved.<br />

Coord<strong>in</strong>ation among local homeless service providers is<br />

occurr<strong>in</strong>g, but could be improved by <strong>in</strong>creased<br />

participation <strong>of</strong> service providers and full implementation<br />

<strong>of</strong> their computerized <strong>in</strong>formation systems.<br />

Scope __________________<br />

Chapter 2001-98, Laws <strong>of</strong> Florida, directed the Office<br />

<strong>of</strong> Program Policy Analysis and Government<br />

Accountability (OPPAGA) to exam<strong>in</strong>e state efforts to<br />

address homelessness. As provided by law, our<br />

report addresses the four questions below.<br />

Office <strong>of</strong> Program Policy Analysis & Government Accountability<br />

an <strong>of</strong>fice <strong>of</strong> the Florida Legislature<br />

• What is the economic impact <strong>of</strong> homelessness<br />

<strong>in</strong> Florida?<br />

• To what extent are local cont<strong>in</strong>uums <strong>of</strong> care<br />

access<strong>in</strong>g dedicated and ma<strong>in</strong>stream federal<br />

fund<strong>in</strong>g for the homeless?<br />

• How can state agency practices be improved<br />

to better assist the homeless?<br />

• How can local providers better coord<strong>in</strong>ate<br />

services for the homeless?<br />

Background _____________<br />

<strong>Homelessness</strong> is a chronic problem <strong>in</strong> Florida. 1<br />

In 2003, Florida’s homeless population was<br />

estimated to range from 68,785 to 76,675 persons<br />

on any particular day. 2 Homeless populations<br />

<strong>in</strong>clude various subgroups, such as families,<br />

veterans, senior citizens, and youth. People may<br />

become homeless for many reasons, <strong>in</strong>clud<strong>in</strong>g<br />

poverty, lack <strong>of</strong> affordable hous<strong>in</strong>g and<br />

transportation, unemployment, illness, and<br />

divorce. Homeless <strong>in</strong>dividuals also frequently<br />

suffer from substance abuse and mental illness.<br />

Federal, state, and local governments, faith-based<br />

organizations, and private and non-pr<strong>of</strong>it entities<br />

provide services to assist the homeless <strong>in</strong> secur<strong>in</strong>g<br />

hous<strong>in</strong>g, employment and health and treatment<br />

1<br />

Florida law def<strong>in</strong>es a “homeless” person as an <strong>in</strong>dividual who lacks<br />

a fixed, regular, and adequate night time residence or someone<br />

whose primary nighttime residence is a shelter, an <strong>in</strong>stitution, or a<br />

public or private place not designed for regular sleep<strong>in</strong>g<br />

accommodations.<br />

2<br />

Homeless population based on two estimated counts conducted <strong>in</strong><br />

Florida dur<strong>in</strong>g 2003.


OPPAGA Report Report No. 05-01<br />

services. Homeless <strong>in</strong>dividuals are typically<br />

assisted at the local level through a network <strong>of</strong><br />

service providers that may <strong>in</strong>clude shelters, food<br />

and cloth<strong>in</strong>g banks, and mental health and<br />

substance abuse treatment centers.<br />

Fund<strong>in</strong>g to address homelessness <strong>in</strong> Florida is<br />

provided by a variety <strong>of</strong> sources, <strong>in</strong>clud<strong>in</strong>g<br />

federal, state, and local governments and private<br />

donations. See page 3 for further discussion <strong>of</strong><br />

homelessness fund<strong>in</strong>g and Appendix A, page 8,<br />

for a list <strong>of</strong> fund<strong>in</strong>g sources.<br />

State Office on <strong>Homelessness</strong>. At the state level,<br />

the Department <strong>of</strong> Children and Families’ Office<br />

on <strong>Homelessness</strong> serves as the central po<strong>in</strong>t <strong>of</strong><br />

contact on homeless issues. 3 <strong>The</strong> <strong>of</strong>fice’s primary<br />

role is to coord<strong>in</strong>ate state agencies and programs<br />

that serve the homeless or persons at risk <strong>of</strong><br />

becom<strong>in</strong>g homeless. <strong>The</strong> <strong>of</strong>fice also adm<strong>in</strong>isters<br />

state-funded grant programs to assist local<br />

coalitions that serve the homeless.<br />

<strong>The</strong> Legislature appropriated the Department <strong>of</strong><br />

Children and Families $726,655 and three full-time<br />

equivalent positions to adm<strong>in</strong>ister the Office on<br />

<strong>Homelessness</strong> <strong>in</strong> Fiscal Year 2004-05. 4<br />

Council on <strong>Homelessness</strong>. <strong>The</strong> Council on<br />

<strong>Homelessness</strong> is responsible for develop<strong>in</strong>g<br />

policies to reduce homelessness <strong>in</strong> the state and<br />

advis<strong>in</strong>g the State Office on <strong>Homelessness</strong>. <strong>The</strong><br />

council also annually prepares a report to the<br />

Governor and Legislature recommend<strong>in</strong>g actions<br />

that can help reduce homelessness <strong>in</strong> Florida. <strong>The</strong><br />

council has 15 members represent<strong>in</strong>g state<br />

agencies, gubernatorial appo<strong>in</strong>tees, statewide<br />

organizations, and homeless advocacy groups.<br />

Local Homeless Coalitions. Homeless coalitions<br />

plan, coord<strong>in</strong>ate, and monitor the delivery <strong>of</strong><br />

services to the homeless at the local level.<br />

Homeless coalitions consist <strong>of</strong> local organizations<br />

and government agencies that provide services for<br />

the homeless. Members <strong>in</strong>clude mental health<br />

and substance abuse treatment providers, county<br />

health departments, entities that provide food<br />

and shelter, law enforcement units, regional<br />

workforce boards, public hous<strong>in</strong>g authorities,<br />

school districts, and county and municipal<br />

governments. As <strong>of</strong> November 2004, 29 homeless<br />

3<br />

Chapter 2001-98, Laws <strong>of</strong> Florida, created the state Office on<br />

<strong>Homelessness</strong> and the Council on <strong>Homelessness</strong>.<br />

4<br />

<strong>The</strong> Office on <strong>Homelessness</strong> is funded primarily by general revenue.<br />

2<br />

coalitions represent<strong>in</strong>g all 67 counties were<br />

operat<strong>in</strong>g <strong>in</strong> Florida.<br />

Homeless coalitions must establish cont<strong>in</strong>uum <strong>of</strong><br />

care plans <strong>in</strong> order to be eligible to apply for federal<br />

homeless grants from the U.S. Department <strong>of</strong><br />

Hous<strong>in</strong>g and Urban Development (HUD) and<br />

certa<strong>in</strong> state grants adm<strong>in</strong>istered by the State<br />

Office on <strong>Homelessness</strong>. 5 <strong>The</strong> coalitions or a<br />

designated lead agency are to use these plans to<br />

establish a framework for provid<strong>in</strong>g emergency,<br />

transitional, and permanent hous<strong>in</strong>g as well as<br />

supportive services to the homeless and persons at<br />

risk <strong>of</strong> becom<strong>in</strong>g homeless. Sixty-one <strong>of</strong> Florida’s<br />

67 counties are currently covered under a<br />

cont<strong>in</strong>uum <strong>of</strong> care system; the rema<strong>in</strong><strong>in</strong>g six<br />

counties are rural counties that have few homeless<br />

service providers. (See Appendix B on page 13 for<br />

a map <strong>of</strong> areas covered by cont<strong>in</strong>uums <strong>of</strong> care and<br />

their lead agencies.)<br />

Questions and Answers ––<br />

Our review <strong>of</strong> homelessness <strong>in</strong> Florida considered<br />

four questions.<br />

• What is the economic impact <strong>of</strong> homelessness<br />

<strong>in</strong> Florida?<br />

• To what extent are local cont<strong>in</strong>uums <strong>of</strong> care<br />

access<strong>in</strong>g dedicated and ma<strong>in</strong>stream federal<br />

funds for the homeless?<br />

• How can state agency practices be improved<br />

to better assist the homeless?<br />

• How can local governments and entities better<br />

coord<strong>in</strong>ate services for the homeless?<br />

What is the economic impact <strong>of</strong><br />

homelessness <strong>in</strong> Florida?<br />

<strong>Homelessness</strong> has a significant economic impact<br />

on the state, <strong>in</strong>clud<strong>in</strong>g the costs <strong>of</strong> provid<strong>in</strong>g<br />

direct services to homeless persons. As shown <strong>in</strong><br />

Exhibit 1, we identified $168 million <strong>in</strong> state,<br />

federal, and local fund<strong>in</strong>g for programs and<br />

services to assist the homeless, such as hous<strong>in</strong>g,<br />

food preparation and distribution, transportation<br />

and mental health counsel<strong>in</strong>g.<br />

This figure does not <strong>in</strong>clude the expenses <strong>in</strong>curred<br />

by various local entities, such as some private<br />

charities as well as the police, the courts,<br />

5<br />

<strong>The</strong>se grants <strong>in</strong>clude the state Challenge Grant and Homeless<br />

Hous<strong>in</strong>g Assistance Grant. See Appendix A.


Report No. 05-01<br />

OPPAGA Report<br />

emergency service providers, and hospital<br />

emergency rooms that deal with homeless<br />

persons. Homeless persons <strong>of</strong>ten are arrested for<br />

various m<strong>in</strong>or crimes such as vagrancy, and <strong>of</strong>ten<br />

require emergency health treatment. <strong>The</strong>se<br />

expenses cannot be determ<strong>in</strong>ed because they are<br />

not separately tracked by homeless coalitions,<br />

service providers, and government agencies;<br />

however, they are likely to be significant. This can<br />

be illustrated by the case <strong>of</strong> a homeless <strong>in</strong>dividual<br />

whose service-related expenses were tracked by<br />

the homeless coalition serv<strong>in</strong>g the City <strong>of</strong><br />

Jacksonville. This person was a 35-year-old<br />

chronically homeless male diagnosed with bipolar<br />

disorder and alcoholism. <strong>The</strong> local homeless<br />

coalition estimated that local entities <strong>in</strong>curred<br />

$43,545 <strong>in</strong> costs over a seven-month period <strong>in</strong><br />

deal<strong>in</strong>g with this <strong>in</strong>dividual. <strong>The</strong>se costs <strong>in</strong>cluded<br />

amounts result<strong>in</strong>g from four separate admittances<br />

to a crisis stabilization unit for mental illness, three<br />

emergency room visits, two admittances to the<br />

hospital <strong>in</strong>tensive care unit, 120 total days spent <strong>in</strong><br />

the county jail, and two stays at a local shelter.<br />

Exhibit 1<br />

Identifiable Fund<strong>in</strong>g for Homeless Services<br />

Totaled $168 Million <strong>in</strong> Fiscal Year 2002-03 1<br />

Fund<strong>in</strong>g Source<br />

(Federal Fiscal Year 2003 and<br />

State Fiscal Year 2002-03)<br />

Amount <strong>of</strong><br />

Fund<strong>in</strong>g<br />

Federal funds dedicated to homeless<br />

Cont<strong>in</strong>uum <strong>of</strong> Care programs $ 51,396,280<br />

Emergency Shelter Grants 6,977,570<br />

Other homeless grants 28,980,993<br />

Federal funds available for general population,<br />

but used to fund local homeless programs* 8,331,611 2<br />

State funds dedicated to homeless -<br />

Office on <strong>Homelessness</strong> State Grants $ 9,731,564<br />

Florida Hous<strong>in</strong>g F<strong>in</strong>ance Corporation 5,000,000<br />

Other homeless grants 10,986,805 2<br />

Local funds $46,464,496 2<br />

Estimated Total $167,869,319<br />

1 OPPAGA collected <strong>in</strong>formation for the time period that <strong>in</strong>cludes<br />

Federal Fiscal Year 2003 and State Fiscal Year 2002-03. Fund<strong>in</strong>g<br />

amounts were reported by the U.S. Department <strong>of</strong> Hous<strong>in</strong>g and<br />

Urban Development, State Office on <strong>Homelessness</strong>, and local<br />

homeless coalitions.<br />

2<br />

Estimates <strong>of</strong> these fund<strong>in</strong>g amounts were provided by only n<strong>in</strong>e<br />

homeless coalitions. Total fund<strong>in</strong>g is likely to be greater.<br />

Source: OPPAGA analysis <strong>of</strong> various fund<strong>in</strong>g data.<br />

This figure also does not <strong>in</strong>clude the societal costs<br />

<strong>of</strong> homeless, which cannot be readily calculated.<br />

<strong>The</strong>se costs could <strong>in</strong>clude degraded property<br />

3<br />

values <strong>in</strong> areas frequented by homeless persons,<br />

lost economic activity, and disrupted education<br />

and family situations <strong>of</strong> children affected by<br />

homelessness.<br />

To what extent is the state access<strong>in</strong>g<br />

dedicated federal homeless funds?<br />

A major source <strong>of</strong> dedicated fund<strong>in</strong>g for homeless<br />

programs is the U.S. Department <strong>of</strong> Hous<strong>in</strong>g and<br />

Urban Development (HUD). HUD annually<br />

awards dedicated funds for homeless programs<br />

created by the McK<strong>in</strong>ney-Vento Homeless<br />

Assistance Act to local cont<strong>in</strong>uums <strong>of</strong> care. 6<br />

Florida is do<strong>in</strong>g well on a statewide basis <strong>in</strong><br />

obta<strong>in</strong><strong>in</strong>g dedicated homeless fund<strong>in</strong>g from HUD.<br />

As shown <strong>in</strong> Exhibit 2, HUD has awarded Florida<br />

more than its pro-rata amount <strong>of</strong> funds <strong>in</strong> each <strong>of</strong><br />

the last three fiscal years.<br />

Exhibit 2<br />

Florida Received More Than Its Pro-Rata Amount <strong>of</strong><br />

McK<strong>in</strong>ney-Vento Act Fund<strong>in</strong>g From Federal<br />

Fiscal Years 2001 to 2003<br />

Federal Fiscal Year<br />

2001 2002 2003<br />

Award Amount $48,692,766 $41,239,338 $51,396,280<br />

Pro Rata Amount 37,106,859 37,416,000 37,416,000<br />

Difference $11,585,907 $ 3,823,338 $13,980,280<br />

Source: U.S. Department <strong>of</strong> Hous<strong>in</strong>g and Urban Development.<br />

As part <strong>of</strong> its competitive grant process, HUD<br />

<strong>in</strong>itially estimates a “pro-rata need,” which is the<br />

dollar expression <strong>of</strong> relative homeless assistance<br />

needs it assigns to each community or groups <strong>of</strong><br />

communities us<strong>in</strong>g U.S. Census Bureau data.<br />

HUD may award a community fund<strong>in</strong>g that<br />

exceeds its pro-rata amount if the community’s<br />

cont<strong>in</strong>uum <strong>of</strong> care entity submits a fund<strong>in</strong>g<br />

application that<br />

• meets HUD’s grant award criteria, such as<br />

provid<strong>in</strong>g permanent hous<strong>in</strong>g for disabled adults;<br />

• clearly identifies a priority need and <strong>in</strong>cludes<br />

documentation show<strong>in</strong>g how a proposed<br />

project would elim<strong>in</strong>ate or substantially<br />

decrease the need; and<br />

6<br />

<strong>The</strong> federal McK<strong>in</strong>ney-Vento Homeless Assistance Act was passed<br />

<strong>in</strong> 1987. It provides fund<strong>in</strong>g to state and local groups through<br />

formula or competitive grants to assist communities to develop<br />

hous<strong>in</strong>g and provide services for the homeless.


OPPAGA Report Report No. 05-01<br />

• requests renewal fund<strong>in</strong>g for projects that<br />

were funded <strong>in</strong> previous years.<br />

Cont<strong>in</strong>uums <strong>of</strong> care may receive less than their<br />

pro-rata amount if HUD determ<strong>in</strong>es that their<br />

fund<strong>in</strong>g applications do not adequately address<br />

grant award criteria or if the cont<strong>in</strong>uum does not<br />

seek renewal fund<strong>in</strong>g for its projects.<br />

Some Florida cont<strong>in</strong>uums have not done well <strong>in</strong><br />

access<strong>in</strong>g HUD fund<strong>in</strong>g. Between 2001 and 2003,<br />

15 cont<strong>in</strong>uums received less than their pro-rata<br />

amount as <strong>in</strong>itially determ<strong>in</strong>ed by HUD. State<br />

Office on <strong>Homelessness</strong> and HUD managers<br />

reported that coalitions received less than their<br />

pro-rata amount because they failed to apply for<br />

fund<strong>in</strong>g, submitted applications that conta<strong>in</strong>ed<br />

errors or <strong>in</strong>cluded activities that were <strong>in</strong>eligible for<br />

fund<strong>in</strong>g, or did not have a permanent hous<strong>in</strong>g<br />

project <strong>in</strong>cluded <strong>in</strong> their plans.<br />

Access to ma<strong>in</strong>stream services could be<br />

improved. A major concern <strong>in</strong> serv<strong>in</strong>g homeless<br />

<strong>in</strong>dividuals is ensur<strong>in</strong>g they have access to federal<br />

ma<strong>in</strong>stream assistance programs. Ma<strong>in</strong>stream<br />

programs are those that provide various forms <strong>of</strong><br />

f<strong>in</strong>ancial, health, and social support designed to<br />

remedy the disabl<strong>in</strong>g conditions and other<br />

problems that prevent homeless <strong>in</strong>dividuals from<br />

becom<strong>in</strong>g healthy and liv<strong>in</strong>g as self-sufficiently as<br />

possible <strong>in</strong> permanent, stable hous<strong>in</strong>g. <strong>The</strong>se<br />

programs, such as Temporary Assistance to Needy<br />

Families (TANF), Medicaid, and Social Security<br />

Income (SSI) are <strong>in</strong>tended to help lower <strong>in</strong>come<br />

people and not dedicated to serv<strong>in</strong>g the homeless.<br />

<strong>The</strong> U.S. Department <strong>of</strong> Hous<strong>in</strong>g and Urban<br />

Development requires local cont<strong>in</strong>uums <strong>of</strong> care to<br />

report on the extent to which they are<br />

systematically assist<strong>in</strong>g homeless persons to access<br />

federal ma<strong>in</strong>stream program services as part <strong>of</strong><br />

their grant applications. As shown <strong>in</strong> Exhibit 3,<br />

most <strong>of</strong> Florida’s homeless cont<strong>in</strong>uums <strong>of</strong> care<br />

reported they were assist<strong>in</strong>g homeless people<br />

access several ma<strong>in</strong>stream programs.<br />

However, some cont<strong>in</strong>uums could improve their<br />

efforts to help homeless <strong>in</strong>dividuals access federal<br />

programs. For example, 11 <strong>of</strong> 26 cont<strong>in</strong>uums did<br />

not report help<strong>in</strong>g homeless persons access<br />

services provided through the State Children’s<br />

Health Insurance Program (SCHIP), and eight did<br />

not report help<strong>in</strong>g them access Workforce<br />

Investment Act services.<br />

Exhibit 3<br />

Most Cont<strong>in</strong>uums <strong>of</strong> Care Assist Homeless Persons<br />

Access Ma<strong>in</strong>stream Program Services<br />

Number <strong>of</strong> Cont<strong>in</strong>uums<br />

Assist<strong>in</strong>g Homeless<br />

Ma<strong>in</strong>stream Program<br />

(N=26)<br />

State Children’s Health Insurance<br />

Program (SCHIP) 15<br />

Workforce Incentive Act (WIA) 18<br />

Supplemental Security Disability<br />

Income (SSDI) 22<br />

Supplemental Security Income (SSI) 23<br />

Veterans Health Care 23<br />

Medicaid 24<br />

Food Stamps 24<br />

Temporary Assistance for Needy<br />

Families (TANF) 25<br />

Source: OPPAGA analysis <strong>of</strong> 26 Cont<strong>in</strong>uum <strong>of</strong> Care applications.<br />

We contacted representatives <strong>of</strong> six cont<strong>in</strong>uums <strong>of</strong><br />

care that reported that their member agencies did<br />

not rout<strong>in</strong>ely help homeless persons identify,<br />

apply for, and follow up to receive benefits for<br />

two or more ma<strong>in</strong>stream programs. <strong>The</strong>se<br />

representatives gave several reasons for not<br />

assist<strong>in</strong>g homeless <strong>in</strong>dividuals to access<br />

ma<strong>in</strong>stream programs, <strong>in</strong>clud<strong>in</strong>g not be<strong>in</strong>g aware<br />

<strong>of</strong> programs such as SCHIP and the Workforce<br />

Investment Act and difficulty <strong>in</strong> work<strong>in</strong>g with<br />

their regional workforce agency that adm<strong>in</strong>isters<br />

the Workforce Investment Act. However, two<br />

representatives <strong>in</strong>dicated that their cont<strong>in</strong>uums<br />

had <strong>in</strong>correctly completed their HUD grant<br />

applications and were <strong>in</strong> fact help<strong>in</strong>g homeless<br />

persons access ma<strong>in</strong>stream programs.<br />

One <strong>of</strong> the objectives <strong>in</strong> the Council on<br />

<strong>Homelessness</strong> strategic plan is to <strong>in</strong>crease the<br />

percentage <strong>of</strong> homeless <strong>in</strong>dividuals assisted by<br />

ma<strong>in</strong>stream programs. In September 2004, the<br />

Office on <strong>Homelessness</strong> proposed that<br />

representatives <strong>of</strong> local cont<strong>in</strong>uums <strong>of</strong> care meet<br />

with state agency <strong>of</strong>ficials who adm<strong>in</strong>ister<br />

ma<strong>in</strong>stream programs to (1) identify barriers that<br />

limit the ability <strong>of</strong> the homeless to access program<br />

benefits, and (2) work cooperatively to develop<br />

solutions that can elim<strong>in</strong>ate those barriers. As <strong>of</strong><br />

November 2004, the Office on <strong>Homelessness</strong> had<br />

developed a list <strong>of</strong> programs that local homeless<br />

coalitions need help access<strong>in</strong>g. <strong>The</strong>se programs<br />

<strong>in</strong>clude the Department <strong>of</strong> Children and Families’<br />

Emergency F<strong>in</strong>ancial Assistance for Hous<strong>in</strong>g<br />

4


Report No. 05-01<br />

OPPAGA Report<br />

Program, Public Hous<strong>in</strong>g Authorities’ Section 8<br />

Program, and Temporary Assistance for Needy<br />

Families. Accord<strong>in</strong>g to Office on <strong>Homelessness</strong><br />

managers, workshops to address barriers posed by<br />

these programs will take place dur<strong>in</strong>g the first<br />

quarter <strong>of</strong> 2005.<br />

<strong>The</strong> council’s strategic plan also notes that it is<br />

seek<strong>in</strong>g to establish work<strong>in</strong>g agreements with<br />

agencies that adm<strong>in</strong>ister ma<strong>in</strong>stream programs to<br />

ensure there is a concerted effort to reduce<br />

barriers to homeless <strong>in</strong>dividuals. To date, it has<br />

fully executed an agreement with the Agency for<br />

Workforce Innovation and Workforce Florida to<br />

assist the homeless <strong>in</strong> achiev<strong>in</strong>g greater<br />

<strong>in</strong>dependence through employment. <strong>The</strong> council<br />

is <strong>in</strong> the process <strong>of</strong> f<strong>in</strong>aliz<strong>in</strong>g agreements with the<br />

Department <strong>of</strong> Community Affairs and the<br />

Department <strong>of</strong> Corrections.<br />

How can state agency practices be improved<br />

to better assist the homeless?<br />

State agencies perform a variety <strong>of</strong> functions that<br />

benefit the homeless, <strong>in</strong>clud<strong>in</strong>g provid<strong>in</strong>g<br />

technical assistance and fund<strong>in</strong>g to local<br />

coalitions. (See Appendix C on page 14 for a<br />

description <strong>of</strong> services provided by state agencies<br />

to assist the homeless.)<br />

Most (11 <strong>of</strong> 15) local coalition directors respond<strong>in</strong>g<br />

to an OPPAGA survey gave high rat<strong>in</strong>gs to the<br />

assistance provided by the state Office on<br />

<strong>Homelessness</strong>. However, coalition directors<br />

identified some state agency functions that could<br />

be improved to enhance services for the homeless,<br />

such as better discharge plann<strong>in</strong>g for homeless<br />

persons and streaml<strong>in</strong><strong>in</strong>g certa<strong>in</strong> adm<strong>in</strong>istrative<br />

requirements.<br />

Few state agencies have developed or<br />

implemented discharge plann<strong>in</strong>g policies.<br />

Discharge plann<strong>in</strong>g is important for people leav<strong>in</strong>g<br />

state services who are at risk <strong>of</strong> becom<strong>in</strong>g<br />

homeless. <strong>The</strong>se persons <strong>in</strong>clude <strong>in</strong>mates exit<strong>in</strong>g<br />

state correctional facilities, children ag<strong>in</strong>g out <strong>of</strong><br />

foster care, families com<strong>in</strong>g <strong>of</strong>f public assistance,<br />

developmentally disabled <strong>in</strong>dividuals be<strong>in</strong>g de<strong>in</strong>stitutionalized,<br />

and mentally ill persons leav<strong>in</strong>g<br />

state <strong>in</strong>stitutions. Discharge plann<strong>in</strong>g refers to<br />

prepar<strong>in</strong>g a person <strong>in</strong> an <strong>in</strong>stitution for return to<br />

the community and l<strong>in</strong>k<strong>in</strong>g these <strong>in</strong>dividuals to<br />

needed community support services.<br />

Some local coalition directors expressed concern<br />

that state agencies were not adequately plann<strong>in</strong>g<br />

for the discharge <strong>of</strong> persons who could potentially<br />

become homeless. For example, the Department<br />

<strong>of</strong> Correction’s current discharge plann<strong>in</strong>g efforts<br />

relies on show<strong>in</strong>g <strong>in</strong>mates <strong>in</strong>structional videos<br />

prior to their release.<br />

<strong>The</strong> state Council on <strong>Homelessness</strong> is work<strong>in</strong>g to<br />

address these concerns and identified discharge<br />

plann<strong>in</strong>g as a priority issue <strong>in</strong> its strategic plan. <strong>The</strong><br />

council is work<strong>in</strong>g with state agencies to formulate<br />

program-level discharge plann<strong>in</strong>g agreements for<br />

various populations at risk <strong>of</strong> becom<strong>in</strong>g homeless.<br />

<strong>The</strong>se discharge plans are to address whether<br />

<strong>in</strong>dividuals will have hous<strong>in</strong>g, services such as<br />

transportation, medication, and cloth<strong>in</strong>g, personal<br />

identification and documentation, employment,<br />

benefits (TANF, Food Stamps, Medicaid), and a<br />

support network (family, friends) once they are<br />

released. <strong>The</strong> Department <strong>of</strong> Corrections is<br />

currently develop<strong>in</strong>g a discharge plan that it expects<br />

to f<strong>in</strong>alize by the end <strong>of</strong> 2004. <strong>The</strong> Office on<br />

<strong>Homelessness</strong> expects the Department <strong>of</strong> Children<br />

and Families, which adm<strong>in</strong>isters state public<br />

assistance, foster care, and mental health programs,<br />

and the Agency for Persons with Disabilities to start<br />

develop<strong>in</strong>g discharge plans <strong>in</strong> 2005.<br />

Requirements <strong>of</strong> some assistance programs pose<br />

barriers to homeless applicants. Coalition<br />

directors identified several state adm<strong>in</strong>istrative<br />

requirements that impede homeless persons <strong>in</strong><br />

access<strong>in</strong>g assistance programs. <strong>The</strong>y told us that<br />

the adm<strong>in</strong>istrative requirements <strong>of</strong> programs such<br />

as Medicaid, Food Stamps, and Temporary<br />

Assistance for Needy Families (TANF) make it<br />

difficult for them to provide services to the<br />

homeless.<br />

Specifically, coalition directors noted client<br />

identification and application requirements, and<br />

the eligibility determ<strong>in</strong>ation process for these<br />

programs as barriers to assist<strong>in</strong>g clients. Many<br />

programs require applicants to provide<br />

documents prov<strong>in</strong>g their identity, citizenship,<br />

<strong>in</strong>come, and f<strong>in</strong>ancial resources. However,<br />

homeless people <strong>of</strong>ten do not have these<br />

documents because they may not have a safe and<br />

secure place to store important papers. This may<br />

delay the process<strong>in</strong>g and approval <strong>of</strong> their<br />

applications for services.<br />

5


OPPAGA Report Report No. 05-01<br />

<strong>The</strong>se barriers are consistent with those noted <strong>in</strong> a<br />

2002 report by the U.S. Government Accountability<br />

Office (GAO). <strong>The</strong> GAO report noted that<br />

homelessness complicates the ability <strong>of</strong> people to<br />

access program services because paperwork<br />

requirements and the need to regularly<br />

communicate with agencies and service providers<br />

tend to be more difficult for <strong>in</strong>dividuals lack<strong>in</strong>g a<br />

permanent address or phone number. 7<br />

How can local entities better coord<strong>in</strong>ate<br />

services for the homeless?<br />

Homeless coalitions depend on numerous local<br />

agencies to provide various services to homeless<br />

persons. Local service providers <strong>in</strong>clude shelters,<br />

food and cloth<strong>in</strong>g banks, and mental health and<br />

substance abuse treatment centers. Ideally,<br />

homeless <strong>in</strong>dividuals can access these services<br />

through a coord<strong>in</strong>ated system <strong>of</strong> local service<br />

providers.<br />

Most local service providers are try<strong>in</strong>g to<br />

coord<strong>in</strong>ate their activities. Our review <strong>of</strong> local<br />

cont<strong>in</strong>uum <strong>of</strong> care plans submitted to HUD <strong>in</strong><br />

2003 determ<strong>in</strong>ed that most providers attended<br />

meet<strong>in</strong>gs held to coord<strong>in</strong>ate delivery <strong>of</strong> homeless<br />

services. Over half <strong>of</strong> the local homeless coalition<br />

directors who responded to an OPPAGA survey<br />

reported that service providers participated <strong>in</strong><br />

their local cont<strong>in</strong>uum <strong>of</strong> care.<br />

However, efforts to further improve coord<strong>in</strong>ation<br />

are h<strong>in</strong>dered by two factors:<br />

• some homeless service providers are not<br />

participat<strong>in</strong>g <strong>in</strong> their local cont<strong>in</strong>uums <strong>of</strong> care;<br />

and<br />

• most homeless coalitions have not yet fully<br />

implemented homeless management<br />

<strong>in</strong>formation systems.<br />

Some homeless service providers do not<br />

participate <strong>in</strong> their local cont<strong>in</strong>uums <strong>of</strong> care. Six<br />

coalition directors respond<strong>in</strong>g to our survey<br />

reported that some providers <strong>of</strong> homeless services<br />

<strong>in</strong> their community were not participat<strong>in</strong>g <strong>in</strong> the<br />

local cont<strong>in</strong>uum <strong>of</strong> care, <strong>in</strong>clud<strong>in</strong>g some public<br />

hous<strong>in</strong>g authorities, public defenders, and state<br />

attorneys. <strong>The</strong>y believed that these entities may<br />

not be participat<strong>in</strong>g because they do not have the<br />

7<br />

<strong>Homelessness</strong>: Improv<strong>in</strong>g Program Coord<strong>in</strong>ation and Client Access<br />

to Programs, Government Accountability Office, GAO-02-485T,<br />

March 6, 2002.<br />

6<br />

time or the personnel to devote to the<br />

cont<strong>in</strong>uum’s activities or were not <strong>in</strong>terested <strong>in</strong><br />

be<strong>in</strong>g <strong>in</strong>volved. Coalition directors noted that<br />

the limited <strong>in</strong>volvement <strong>of</strong> these and other<br />

stakeholders makes it difficult to coord<strong>in</strong>ate<br />

services, reduces their ability to acquire federal<br />

fund<strong>in</strong>g, and impedes efforts to share <strong>in</strong>formation<br />

about homeless <strong>in</strong>dividuals .<br />

Most homeless coalitions have not yet fully<br />

implemented homeless management <strong>in</strong>formation<br />

systems. HUD requires communities that receive<br />

federal dedicated homeless fund<strong>in</strong>g to track<br />

<strong>in</strong>formation about their clients with a computerized<br />

<strong>in</strong>formation system. <strong>The</strong>se <strong>in</strong>formation systems are<br />

expected to allow local providers to systematically<br />

share <strong>in</strong>formation, <strong>in</strong>tegrate services, and maximize<br />

the use <strong>of</strong> resources. Shar<strong>in</strong>g client <strong>in</strong>formation also<br />

should reduce duplication <strong>in</strong> provider <strong>in</strong>take<br />

activities, facilitate referrals among providers, and<br />

improve the coord<strong>in</strong>ation <strong>of</strong> services.<br />

Most homeless coalition directors respond<strong>in</strong>g to<br />

our survey reported their coalitions have not fully<br />

implemented homeless management <strong>in</strong>formation<br />

systems. For example, two coalition directors said<br />

their systems had not yet been developed. Other<br />

coalition directors told us that only a few <strong>of</strong> their<br />

local service providers were enter<strong>in</strong>g <strong>in</strong>formation<br />

<strong>in</strong>to their systems.<br />

Although the U.S. Congress <strong>in</strong>itially <strong>in</strong>tended<br />

homeless management <strong>in</strong>formation systems to be<br />

fully implemented by 2004, this goal has not been<br />

met. Accord<strong>in</strong>g to Office on <strong>Homelessness</strong><br />

managers, HUD’s 2005 Notice <strong>of</strong> Fund<strong>in</strong>g<br />

Availability will encourage local cont<strong>in</strong>uums <strong>of</strong><br />

care to speed up implement<strong>in</strong>g their <strong>in</strong>formation<br />

systems. <strong>The</strong>y said that participation <strong>in</strong> a system<br />

will be a factor <strong>in</strong> determ<strong>in</strong><strong>in</strong>g the amount <strong>of</strong><br />

fund<strong>in</strong>g local cont<strong>in</strong>uums <strong>of</strong> care receive from<br />

HUD. HUD is also provid<strong>in</strong>g technical assistance<br />

to cont<strong>in</strong>uum <strong>of</strong> care agencies to assist them <strong>in</strong><br />

implement<strong>in</strong>g their homeless management<br />

<strong>in</strong>formation systems.<br />

A problem that could limit the usefulness <strong>of</strong> the<br />

<strong>in</strong>formation systems is that some local providers<br />

do not wish to use the systems due to concerns<br />

with the confidentiality <strong>of</strong> client data. For<br />

example, one provider director told us he did not<br />

want to participate <strong>in</strong> the <strong>in</strong>formation system<br />

because he was concerned that law enforcement<br />

agencies would access the system and use it to


Report No. 05-01<br />

OPPAGA Report<br />

locate and arrest homeless persons. Until such<br />

issues are resolved, it is likely that some local<br />

providers will not enter client data <strong>in</strong>to local<br />

homeless <strong>in</strong>formation systems.<br />

Conclusions and<br />

Recommendations _______<br />

<strong>The</strong> economic impact <strong>of</strong> homelessness <strong>in</strong> Florida is<br />

significant. We identified $168 million <strong>in</strong> state,<br />

federal, and local fund<strong>in</strong>g for programs and<br />

services to assist the homeless, such as hous<strong>in</strong>g,<br />

food preparation and distribution, transportation<br />

and mental health counsel<strong>in</strong>g. However, this<br />

figure excludes additional expenses <strong>in</strong>curred by<br />

various local entities, such as the police, the<br />

courts, emergency service providers, and hospital<br />

emergency rooms, <strong>in</strong> deal<strong>in</strong>g with homeless<br />

persons. <strong>The</strong>se expenses cannot be precisely<br />

determ<strong>in</strong>ed because they are not rout<strong>in</strong>ely<br />

tracked by homeless coalitions, service providers,<br />

and government agencies.<br />

Florida is do<strong>in</strong>g well on a statewide basis <strong>in</strong><br />

obta<strong>in</strong><strong>in</strong>g dedicated federal fund<strong>in</strong>g for the<br />

homeless; however, some local homeless<br />

cont<strong>in</strong>uums <strong>of</strong> care have not been successful <strong>in</strong><br />

access<strong>in</strong>g dedicated and ma<strong>in</strong>stream federal<br />

fund<strong>in</strong>g for the homeless.<br />

State agencies assist local homeless efforts by<br />

provid<strong>in</strong>g technical assistance, direct services, and<br />

fund<strong>in</strong>g. However, some state agency practices<br />

such as discharge plann<strong>in</strong>g could be improved, and<br />

some adm<strong>in</strong>istrative requirements <strong>of</strong> programs such<br />

as Medicaid, food stamps, and TANF pose barriers<br />

to homeless persons seek<strong>in</strong>g benefits.<br />

Coord<strong>in</strong>ation among local homeless service<br />

providers is occurr<strong>in</strong>g, but could be improved by<br />

gett<strong>in</strong>g more entities to participate <strong>in</strong> local<br />

cont<strong>in</strong>uums <strong>of</strong> care and by local coalitions fully<br />

implement<strong>in</strong>g their computerized <strong>in</strong>formation<br />

systems.<br />

To improve the provision <strong>of</strong> services to homeless<br />

<strong>in</strong> Florida, we recommend that the State Office on<br />

<strong>Homelessness</strong> take the actions described below.<br />

• Expand their assistance to local cont<strong>in</strong>uums <strong>of</strong><br />

care experienc<strong>in</strong>g difficulty receiv<strong>in</strong>g the prorata<br />

amount <strong>of</strong> dedicated federal fund<strong>in</strong>g for<br />

the homeless. <strong>The</strong> <strong>of</strong>fice should help these<br />

cont<strong>in</strong>uums develop plans and proposals that<br />

meet federal grant award criteria and priorities;<br />

• Develop and dissem<strong>in</strong>ate guidel<strong>in</strong>es for<br />

access<strong>in</strong>g and qualify<strong>in</strong>g for ma<strong>in</strong>stream<br />

program benefits. In addition, the Council on<br />

<strong>Homelessness</strong> also should cont<strong>in</strong>ue its efforts<br />

to establish work<strong>in</strong>g agreements with<br />

ma<strong>in</strong>stream program agencies to reduce<br />

barriers to access by homeless <strong>in</strong>dividuals.<br />

• Revise the terms <strong>of</strong> its grants to require subgrantees<br />

(local service providers) to participate<br />

<strong>in</strong> a homeless management <strong>in</strong>formation<br />

system. Such <strong>in</strong>formation systems are expected<br />

to benefit local providers by allow<strong>in</strong>g them to<br />

systematically share <strong>in</strong>formation, <strong>in</strong>tegrate<br />

services, and maximize the use <strong>of</strong> resources.<br />

In addition, we recommend that the Council on<br />

<strong>Homelessness</strong> work with state agencies to<br />

develop discharge plans to help prevent<br />

<strong>in</strong>dividuals transition<strong>in</strong>g out <strong>of</strong> <strong>in</strong>stitutions and<br />

other forms <strong>of</strong> state care from becom<strong>in</strong>g homeless.<br />

Agency Response ________<br />

In accordance with the provisions <strong>of</strong> s. 11.51(6),<br />

Florida Statutes, a draft <strong>of</strong> our report was<br />

submitted to the Secretary <strong>of</strong> the Department <strong>of</strong><br />

Children and Families for review and response.<br />

<strong>The</strong> Secretary’s written response is reproduced <strong>in</strong><br />

its entirety on page 16 (Appendix D).<br />

OPPAGA supports the Florida Legislature by provid<strong>in</strong>g evaluative research and objective analyses to promote government accountability and the efficient<br />

and effective use <strong>of</strong> public resources. This project was conducted <strong>in</strong> accordance with applicable evaluation standards. Copies <strong>of</strong> this report <strong>in</strong> pr<strong>in</strong>t or<br />

alternate accessible format may be obta<strong>in</strong>ed by telephone (850/488-0021 or 800/531-2477), by FAX (850/487-3804), <strong>in</strong> person, or by mail (OPPAGA<br />

Report Production, Claude Pepper Build<strong>in</strong>g, Room 312, 111 W. Madison St., Tallahassee, FL 32399-1475). Cover photo by Mark Foley.<br />

Florida Monitor: www.oppaga.state.fl.us<br />

Project supervised by Larry Novey (850/487-3768)<br />

Project conducted by Michelle Harrison (850/487-9220) and Shunti H. Taylor<br />

Gary R. VanLand<strong>in</strong>gham, OPPAGA Interim Director<br />

7


OPPAGA Report Report No. 05-01<br />

Appendix A<br />

Many Fund<strong>in</strong>g Sources Exist to Assist Homeless<br />

Program<br />

Education for Homeless Children<br />

and Youths - McK<strong>in</strong>ney Act<br />

Elementary and Secondary<br />

Education Act Part A <strong>of</strong> Title I<br />

Homeless Veterans Re<strong>in</strong>tegration<br />

Project - McK<strong>in</strong>ney Act<br />

Veterans Employment Program -<br />

Title IV-C <strong>of</strong> JTPA<br />

Workforce Investment Act (WIA)<br />

Emergency Food & Shelter<br />

Program<br />

State Apartment Incentive Loan<br />

Community Health Centers<br />

Community Services Block Grant<br />

Head Start<br />

Health Care for the Homeless -<br />

McK<strong>in</strong>ney Act<br />

Purpose<br />

Ensures homeless children, <strong>in</strong>clud<strong>in</strong>g<br />

pre-schoolers, equal access to free and<br />

appropriate public education.<br />

Provides before/after school programs,<br />

summer school, preschool, alternative<br />

school programs, home visits, parent<br />

education, and childcare.<br />

Funds projects designed to expedite the<br />

re<strong>in</strong>tegration <strong>of</strong> homeless veterans <strong>in</strong>to<br />

the labor force.<br />

Provides employment and tra<strong>in</strong><strong>in</strong>g<br />

grants.<br />

Increase employment, retention, and<br />

earn<strong>in</strong>g <strong>of</strong> participants.<br />

Provides a broad range <strong>of</strong> food, shelter,<br />

and supportive services.<br />

Provides f<strong>in</strong>ancial assistance to<br />

construct or renovate apartments for<br />

those with very low <strong>in</strong>comes; 8% setaside<br />

specifically targeted for formerly<br />

homeless.<br />

Supports development and operation <strong>of</strong><br />

community health centers <strong>in</strong> medically<br />

underserved areas/populations.<br />

For services and activities to reduce<br />

poverty, <strong>in</strong>cludes employment,<br />

education, hous<strong>in</strong>g assistance, nutrition,<br />

energy, emergency, and health<br />

services.<br />

Provides health, educational, nutritional,<br />

social and other services to preschool<br />

children from low-<strong>in</strong>come families.<br />

Provides primary health care, substance<br />

abuse treatment, case management,<br />

outreach and mental health treatment<br />

Fund<strong>in</strong>g Source<br />

and Level<br />

U.S. Department <strong>of</strong><br />

Education Federal Fiscal<br />

Year FFY04 $2.8 million.<br />

U.S. Department <strong>of</strong><br />

Education State Fiscal<br />

Year (SFY) 2003-04<br />

$523,834,879<br />

U.S. Department <strong>of</strong> Labor<br />

FFY04 $150,000<br />

U.S. Department <strong>of</strong> Labor<br />

FFY04 $8,421,000<br />

U.S. Department <strong>of</strong> Labor<br />

FFY04 $143,371,066<br />

Federal Emergency<br />

Management Agency<br />

FFY04 $7,695,570<br />

Florida Hous<strong>in</strong>g F<strong>in</strong>ance<br />

Corporation SFY03-04<br />

$56,499,140<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services 2003<br />

$51,873,732<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services<br />

FFY04 $18,678,760<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services<br />

FFY04 $262,647,907<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services<br />

Calendar year 03<br />

$5,323,136<br />

Target<br />

Funds<br />

Yes<br />

No<br />

Lead Agency<br />

Florida<br />

Department <strong>of</strong><br />

Education<br />

Florida<br />

Department <strong>of</strong><br />

Education<br />

Allocation<br />

Process<br />

Formula grant<br />

Formula grant<br />

Yes Direct to locals Project grants<br />

(competitive)<br />

No<br />

No<br />

Yes<br />

No<br />

No<br />

No<br />

Agency for<br />

Workforce<br />

Innovation<br />

Agency for<br />

Workforce<br />

Innovation<br />

United Way <strong>of</strong><br />

Florida<br />

Florida Hous<strong>in</strong>g<br />

F<strong>in</strong>ance<br />

Corporation<br />

Florida<br />

Department <strong>of</strong><br />

Health<br />

Florida<br />

Department <strong>of</strong><br />

Community<br />

Affairs<br />

Formula grant<br />

Formula grant<br />

Formula grant<br />

Provides low<br />

<strong>in</strong>terest loans<br />

(competitive)<br />

Project grant<br />

(discretionary)<br />

Formula grant<br />

Eligible Populations<br />

Homeless children and youth, <strong>in</strong>clud<strong>in</strong>g<br />

preschool children.<br />

Educationally deprived homeless children are<br />

eligible.<br />

Homeless veterans.<br />

Veterans who are disabled, from the Vietnam<br />

era, or have applied for service with<strong>in</strong> 12<br />

months <strong>of</strong> military separation.<br />

Youth with education and employment<br />

barriers. Adults with employment barriers,<br />

certa<strong>in</strong> dislocated workers.<br />

Hungry and homeless people and those at<br />

risk <strong>of</strong> becom<strong>in</strong>g homeless.<br />

Very low <strong>in</strong>come <strong>in</strong>dividuals and families.<br />

Residents <strong>of</strong> medically underserved areas.<br />

<strong>The</strong> poor and near-poor.<br />

No Direct to locals Project grant Primarily children ages 3-5 from low-<strong>in</strong>come<br />

families.<br />

Yes Direct to locals Project grants<br />

(discretionary)<br />

Homeless <strong>in</strong>dividuals and families.<br />

8


Report No. 05-01<br />

OPPAGA Report<br />

Program<br />

Maternal and Child Health<br />

Services Block Grant<br />

Medicaid<br />

Projects for Assistance <strong>in</strong><br />

Transition from <strong>Homelessness</strong><br />

(PATH) - McK<strong>in</strong>ney Act<br />

Runaway and Homeless Youth -<br />

Basic Center<br />

Runaway and Homeless Youth -<br />

Education and Prevention Grants<br />

to Reduce Sexual Abuse <strong>of</strong><br />

Runaway, Homeless, and Street<br />

Youth<br />

Runaway and Homeless Youth -<br />

Transitional Liv<strong>in</strong>g for Older<br />

Homeless Youth<br />

Ryan White Care Act Titles I and II<br />

KidCare - State Children's Health<br />

Insurance Program (SCHIP)<br />

Substance Abuse Prevention and<br />

Treatment Block Grant<br />

Temporary Assistance for Needy<br />

Families (TANF)<br />

Purpose<br />

Supports activities to improve the health<br />

status <strong>of</strong> pregnant women, mothers,<br />

<strong>in</strong>fants, and children.<br />

Provides services <strong>in</strong>clud<strong>in</strong>g <strong>in</strong>-and outpatient<br />

hospital services, physician<br />

services, medical and surgical dental<br />

services, and nurs<strong>in</strong>g facility services.<br />

Provides residential treatment and<br />

support services to those with mental<br />

illnesses and co-occurr<strong>in</strong>g substance<br />

abuse, who are homeless or at risk <strong>of</strong><br />

be<strong>in</strong>g homeless.<br />

Provides funds to establish and operate<br />

local centers for runaway or homeless<br />

youth.<br />

Funds street-based education and<br />

outreach, emergency shelter, and<br />

related services for runaway and<br />

homeless youth who have been, or are<br />

at risk <strong>of</strong> be<strong>in</strong>g, sexually exploited and<br />

abused.<br />

Supports residential services (up to 18<br />

mo.) to homeless youth to ensure<br />

successful transition to self-sufficient<br />

liv<strong>in</strong>g.<br />

Provides funds to improve the quality<br />

and availability <strong>of</strong> care for <strong>in</strong>dividuals<br />

and families liv<strong>in</strong>g with HIV/AIDS.<br />

Provides funds to states to enable them<br />

to <strong>in</strong>itiate an expanded child health<br />

assistance to un<strong>in</strong>sured, low-<strong>in</strong>come<br />

children<br />

Provides f<strong>in</strong>ancial assistance to states<br />

for plann<strong>in</strong>g, implement<strong>in</strong>g, and<br />

evaluat<strong>in</strong>g activities to prevent and treat<br />

substance abuse.<br />

Provides fund<strong>in</strong>g for state-designed<br />

programs <strong>of</strong> time-limited and workconditional<br />

aid to families with children.<br />

Fund<strong>in</strong>g Source<br />

and Level<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services<br />

FFY04 $20,994,684<br />

State General Revenue &<br />

trust funds $5,222,630,155<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services<br />

$7,738,461,947 SFY03-04<br />

TOTAL $12,961,092,102<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services<br />

FFY04 $2,566,000<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services<br />

FFY04 $2,363,285<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services<br />

FFY04 $490,000<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services<br />

FFY04 $1,609,519<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services<br />

FFY04 $112,196,959<br />

Agency for Health Care<br />

Adm<strong>in</strong>istration<br />

$143,062,333 U.S.<br />

Department <strong>of</strong> Health and<br />

Human Services<br />

$354,242,918 SFY03-04<br />

TOTAL $497,305,251<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services<br />

SFY03-04 $95,483,056<br />

U.S. Department <strong>of</strong> Health<br />

and Human Services<br />

SFY03-04 $223,343,035<br />

Target<br />

Funds<br />

No<br />

No<br />

Yes<br />

Lead Agency<br />

Florida<br />

Department <strong>of</strong><br />

Health<br />

Agency for Health<br />

Care<br />

Adm<strong>in</strong>istration<br />

Florida<br />

Department <strong>of</strong><br />

Children and<br />

Families<br />

Allocation<br />

Process<br />

Formula grant<br />

Entitlement<br />

Formula grant<br />

Yes Direct to locals Project grants<br />

(discretionary)<br />

Yes Direct to locals Project grants<br />

(discretionary)<br />

Yes Direct to locals Project grants<br />

(discretionary)<br />

No<br />

No<br />

No<br />

No<br />

Title I - direct to<br />

locals. Title II –<br />

Florida<br />

Department <strong>of</strong><br />

Health<br />

Agency for Health<br />

Care<br />

Adm<strong>in</strong>istration<br />

Florida<br />

Department <strong>of</strong><br />

Children and<br />

Families<br />

Florida<br />

Department <strong>of</strong><br />

Children and<br />

Families<br />

Formula and<br />

project grants<br />

(discretionary)<br />

Formula grant<br />

Formula grant<br />

Block grant<br />

Eligible Populations<br />

Pregnant women, mothers, <strong>in</strong>fants and<br />

children, and children with special health care<br />

needs.<br />

Low-<strong>in</strong>come persons over age 65, bl<strong>in</strong>d, or<br />

disabled; low-<strong>in</strong>come children and pregnant<br />

women.<br />

Persons with mental illness, <strong>in</strong>clud<strong>in</strong>g those<br />

with substance abuse disorders, who are<br />

homeless or at risk <strong>of</strong> becom<strong>in</strong>g homeless.<br />

Runaway and homeless youth and their<br />

families are eligible for benefits.<br />

Adolescents up to the age <strong>of</strong> 24 who are<br />

liv<strong>in</strong>g on the streets.<br />

Homeless youth aged 16 to 21.<br />

Low-<strong>in</strong>come, un<strong>in</strong>sured, and under<strong>in</strong>sured<br />

HIV <strong>in</strong>fected <strong>in</strong>dividuals and their families.<br />

Low <strong>in</strong>come children and children who are<br />

not eligible for medical assistance under<br />

Medicaid or are not covered under a group<br />

health or other health <strong>in</strong>surance plan.<br />

All <strong>in</strong>dividuals suffer<strong>in</strong>g from alcohol and<br />

other drug abuse.<br />

Needy families with children.<br />

9


OPPAGA Report Report No. 05-01<br />

Program<br />

Community Development Block<br />

Grant (CDBG)<br />

Emergency Shelter Grant -<br />

McK<strong>in</strong>ney Act<br />

Home Investment Partnerships<br />

Program (HOME)<br />

Hous<strong>in</strong>g Opportunities for Persons<br />

with AIDS (HOPWA)<br />

Section 8 Project-Based Rental<br />

Assistance (Public and Indian<br />

Hous<strong>in</strong>g)<br />

Section 8 Rental Voucher Program<br />

(Public and Indian Hous<strong>in</strong>g)<br />

Section 8 S<strong>in</strong>gle Room Occupancy<br />

Moderate Rehabilitation -<br />

McK<strong>in</strong>ney Act<br />

Shelter Plus Care Program -<br />

McK<strong>in</strong>ney Act<br />

Supportive Hous<strong>in</strong>g Program -<br />

McK<strong>in</strong>ney Act<br />

Purpose<br />

Assists urban communities to provide<br />

decent hous<strong>in</strong>g, a suitable liv<strong>in</strong>g<br />

environment and expanded economic<br />

opportunities.<br />

Provides for shelter bedspace and<br />

supportive services for homeless.<br />

For acquisition, reconstruction,<br />

rehabilitation, and new construction <strong>of</strong><br />

affordable rental and ownership units.<br />

Provides for long-term comprehensive<br />

strategies to meet hous<strong>in</strong>g needs <strong>of</strong><br />

persons with AIDS or related diseases<br />

and their families.<br />

Pays a portion (generally 70%) <strong>of</strong><br />

residents' rent for hous<strong>in</strong>g owned by<br />

private landlords, public hous<strong>in</strong>g<br />

authorities, and state hous<strong>in</strong>g f<strong>in</strong>ance<br />

agencies.<br />

Voucher subsidy that aids families with<br />

very low <strong>in</strong>comes to obta<strong>in</strong> decent, safe,<br />

and sanitary rental hous<strong>in</strong>g.<br />

Rental assistance for homeless persons<br />

liv<strong>in</strong>g <strong>in</strong> s<strong>in</strong>gle-room occupancy units.<br />

Funds the moderate rehabilitation <strong>of</strong><br />

residential properties that will conta<strong>in</strong><br />

multiple s<strong>in</strong>gle-room dwell<strong>in</strong>g units.<br />

Provides rental assistance for homeless<br />

persons with disabilities (supportive<br />

services provided by other sources).<br />

Provides for short-term transitional and<br />

permanent hous<strong>in</strong>g with support<br />

services for homeless persons.<br />

Fund<strong>in</strong>g Source<br />

and Level<br />

U.S. Department <strong>of</strong><br />

Hous<strong>in</strong>g and Urban<br />

Development FFY04<br />

$189,116,184<br />

U.S. Department <strong>of</strong><br />

Hous<strong>in</strong>g and Urban<br />

Development FY04<br />

$6,977,570<br />

U.S. Department <strong>of</strong><br />

Hous<strong>in</strong>g and Urban<br />

Development FFY04<br />

$84,125,727<br />

U.S. Department <strong>of</strong><br />

Hous<strong>in</strong>g and Urban<br />

Development FFY04<br />

$32,393,000<br />

U.S. Department <strong>of</strong><br />

Hous<strong>in</strong>g and Urban<br />

Development<br />

FFY04 $62,878,287<br />

U.S. Department <strong>of</strong><br />

Hous<strong>in</strong>g and Urban<br />

Development FFY04<br />

$695,181,036<br />

U.S. Department <strong>of</strong><br />

Hous<strong>in</strong>g and Urban<br />

Development FFY03<br />

$470,400<br />

U.S. Department <strong>of</strong><br />

Hous<strong>in</strong>g and Urban<br />

Development FFY03<br />

$9,066,338<br />

U.S. Department <strong>of</strong><br />

Hous<strong>in</strong>g and Urban<br />

Development FFY03<br />

$41,859,544<br />

Target<br />

Funds<br />

No<br />

Yes<br />

No<br />

No<br />

No<br />

No<br />

Lead Agency<br />

Florida<br />

Department <strong>of</strong><br />

Community<br />

Affairs and<br />

direct to locals<br />

Florida<br />

Department <strong>of</strong><br />

Children and<br />

Families<br />

Florida Hous<strong>in</strong>g<br />

F<strong>in</strong>ance<br />

Corporation and<br />

direct to locals<br />

U.S. Department<br />

<strong>of</strong> Hous<strong>in</strong>g and<br />

Urban<br />

Development and<br />

Florida<br />

Department <strong>of</strong><br />

Health<br />

Local hous<strong>in</strong>g<br />

authorities<br />

Local hous<strong>in</strong>g<br />

authorities<br />

Allocation<br />

Process<br />

Formula and<br />

project grants<br />

(competitive)<br />

Formula grant<br />

Formula grant<br />

Formula and<br />

project<br />

(competitive)<br />

Payment contract<br />

with a private<br />

landlord or an<br />

annual contract<br />

with a hous<strong>in</strong>g<br />

f<strong>in</strong>ance agency or<br />

a public hous<strong>in</strong>g<br />

authority.<br />

Paid directly to<br />

hous<strong>in</strong>g<br />

authorities<br />

Yes Direct to locals Project grants<br />

(competitive)<br />

Yes Direct to locals Project grant<br />

(competitive)<br />

Yes Direct to locals Project grant<br />

(competitive)<br />

Eligible Populations<br />

Persons with low and moderate <strong>in</strong>comes.<br />

Homeless <strong>in</strong>dividuals and families.<br />

Individuals and families with low and very low<br />

<strong>in</strong>comes.<br />

Low-<strong>in</strong>come <strong>in</strong>dividuals with HIV or AIDS and<br />

their families.<br />

Individuals and families with very low<br />

<strong>in</strong>comes.<br />

Families with very low <strong>in</strong>comes.<br />

Homeless s<strong>in</strong>gle <strong>in</strong>dividuals.<br />

Homeless persons with disabilities <strong>in</strong>clud<strong>in</strong>g<br />

serious mental illness, AIDS, chronic drugs<br />

and/or alcohol problems; and if also<br />

homeless, their families.<br />

Homeless <strong>in</strong>dividuals and families with<br />

children eligible for all but the permanent<br />

hous<strong>in</strong>g for persons with disabilities.<br />

Homeless persons with disabilities eligible for<br />

all components.<br />

10


Report No. 05-01<br />

OPPAGA Report<br />

Program<br />

Supplemental Security Income<br />

(SSI)<br />

Child and Adult Care Food<br />

Program (<strong>in</strong>cludes Child Care<br />

Centers, Family Day Care Homes,<br />

After School Snack Program for<br />

Children)<br />

Emergency Food Assistance<br />

Program<br />

Food Stamps<br />

Homeless Children Nutrition<br />

Program<br />

National School Lunch Program<br />

School Breakfast Program<br />

Special Supplemental Nutrition<br />

Program for Women, Infants, and<br />

Children (WIC)<br />

Summer Food Service Program<br />

Domiciliary Care for Homeless<br />

Veterans<br />

Purpose<br />

Provides monthly payments to elderly,<br />

bl<strong>in</strong>d, or disabled <strong>in</strong>dividuals with low<br />

<strong>in</strong>comes and few resources.<br />

Provides meals and snacks to children<br />

and adults <strong>in</strong> nonresidential day care<br />

facilities<br />

Provides free, healthful foods. Provides<br />

states with commodity foods and funds<br />

to help cover costs <strong>of</strong> transport<strong>in</strong>g,<br />

process<strong>in</strong>g, stor<strong>in</strong>g, and distribut<strong>in</strong>g the<br />

commodities.<br />

Provides f<strong>in</strong>ancial assistance for people<br />

to buy food and improve their diets.<br />

Homeless persons may purchase<br />

prepared meals from authorized<br />

providers.<br />

Provides meals to homeless children<br />

under age 6 <strong>in</strong> emergency shelters.<br />

Assists the states, through cash grants<br />

and food donations, <strong>in</strong> mak<strong>in</strong>g the<br />

school lunch program available to<br />

school students.<br />

Provides the states with cash<br />

assistance for nonpr<strong>of</strong>it breakfast<br />

programs.<br />

Provides supplemental nutritious foods,<br />

nutrition education, and health care<br />

referrals.<br />

Provides funds for program sponsors to<br />

serve free, nutritious meals to children<br />

<strong>in</strong> low-<strong>in</strong>come areas when school is not<br />

<strong>in</strong> session.<br />

Provides health and social services to<br />

homeless veterans <strong>in</strong> a domiciliary<br />

sett<strong>in</strong>g.<br />

Fund<strong>in</strong>g Source<br />

and Level<br />

Social Security<br />

Adm<strong>in</strong>istration Calendar<br />

year 02 $1,814,408<br />

U.S. Department <strong>of</strong><br />

Agriculture SFY03-04<br />

$98,573,266<br />

U.S. Department <strong>of</strong><br />

Agriculture FFY04<br />

$6,839,663 <strong>in</strong><br />

commodities.<br />

U.S. Department <strong>of</strong><br />

Agriculture SFY03-04<br />

$917,836,348<br />

U.S. Department <strong>of</strong><br />

Agriculture SFY03-04<br />

$501,212<br />

U.S. Department <strong>of</strong><br />

Agriculture FFY03<br />

$403,403,045 <strong>in</strong> fund<strong>in</strong>g<br />

and commodities<br />

U.S. Department <strong>of</strong><br />

Agriculture FFY03<br />

$99,284,968<br />

U.S. Department <strong>of</strong><br />

Agriculture FFY04<br />

$232,902,249<br />

U.S. Department <strong>of</strong><br />

Agriculture FFY03<br />

$14,038,782 <strong>in</strong> fund<strong>in</strong>g<br />

and commodities<br />

U.S. Department <strong>of</strong><br />

Veterans Affairs FFY03<br />

$1,284,175<br />

Target<br />

Funds<br />

No<br />

No<br />

No<br />

No<br />

Yes<br />

No<br />

No<br />

No<br />

No<br />

Yes<br />

Lead Agency<br />

Direct to<br />

recipients<br />

Florida<br />

Department <strong>of</strong><br />

Health – children;<br />

Florida<br />

Department <strong>of</strong><br />

Elder Affairs -<br />

adults<br />

Florida<br />

Department <strong>of</strong><br />

Agriculture and<br />

Consumer<br />

Services<br />

Florida<br />

Department <strong>of</strong><br />

Children and<br />

Families<br />

Florida<br />

Department <strong>of</strong><br />

Health<br />

Florida<br />

Department <strong>of</strong><br />

Education<br />

Florida<br />

Department <strong>of</strong><br />

Education<br />

Florida<br />

Department <strong>of</strong><br />

Health<br />

Florida<br />

Department <strong>of</strong><br />

Agriculture and<br />

Consumer<br />

Services<br />

U.S. Department<br />

<strong>of</strong> Veterans<br />

Affairs - Medical<br />

Centers<br />

Allocation<br />

Process<br />

Entitlement<br />

Entitlement<br />

Formula grant<br />

Entitlement<br />

Formula grant<br />

Eligible Populations<br />

Individuals who are; aged 65 or older; bl<strong>in</strong>d;<br />

disabled and meet monthly <strong>in</strong>come and<br />

resources limit requirements.<br />

Children up to age 12, migrant children up to<br />

age 15, certa<strong>in</strong> children with disabilities over<br />

age 12, functionally impaired adults and<br />

adults aged 60 or older who are not residents<br />

<strong>of</strong> an <strong>in</strong>stitution.<br />

Needy persons who meet the eligibility<br />

criteria established by the state.<br />

Low <strong>in</strong>come families and <strong>in</strong>dividuals.<br />

Children under 6 years <strong>of</strong> age who are <strong>in</strong><br />

emergency shelters.<br />

Entitlement All children enrolled <strong>in</strong> schools where the<br />

program is operat<strong>in</strong>g. Free to children at or<br />

below 130% <strong>of</strong> poverty level, reduced price<br />

(max. 40 cents) to children between 130%<br />

and 185% <strong>of</strong> poverty level.<br />

Entitlement All children enrolled <strong>in</strong> schools where the<br />

program is operat<strong>in</strong>g. Free to children at or<br />

below 130% <strong>of</strong> poverty level, reduced price<br />

(max. 30 cents) to children between 130%<br />

and 185% <strong>of</strong> poverty level.<br />

Formula grant Low-<strong>in</strong>come pregnant, postpartum, and<br />

breastfeed<strong>in</strong>g women; <strong>in</strong>fants; and children<br />

up to the age <strong>of</strong> 5 determ<strong>in</strong>ed to be at<br />

nutritional risk.<br />

Entitlement Children aged 18 or younger. Operat<strong>in</strong>g site<br />

must be <strong>in</strong> eligible area (50% <strong>of</strong> children at or<br />

below 185% <strong>of</strong> poverty level); or 50% <strong>of</strong><br />

participat<strong>in</strong>g children are eligible for free or<br />

reduced school lunch.<br />

Direct payments<br />

to VA medical<br />

centers<br />

Veterans who are homeless or at risk <strong>of</strong><br />

becom<strong>in</strong>g homeless and have a cl<strong>in</strong>ical need<br />

for VA-based biopsychosocial residential<br />

rehabilitation services.<br />

11


OPPAGA Report Report No. 05-01<br />

Program<br />

Homeless Chronically Mental III<br />

Veterans Program<br />

Purpose<br />

Provides care, treatment, and<br />

rehabilitative services to homeless<br />

veterans suffer<strong>in</strong>g from chronic mental<br />

illness.<br />

HUD-VASH (Supported Hous<strong>in</strong>g) HUD partnership, VA provides<br />

permanent hous<strong>in</strong>g and ongo<strong>in</strong>g<br />

treatment to eligible veterans.<br />

Homeless Women's Veterans<br />

Program<br />

Loan Guarantee for Homeless<br />

Vets Multi-family Hous<strong>in</strong>g<br />

VA Homeless Providers Grant and<br />

Per Diem Program<br />

Veterans Industries/ Compensated<br />

Work <strong>The</strong>rapy/ Transitional<br />

Employment<br />

Challenge Grant<br />

Emergency F<strong>in</strong>ancial Assistance<br />

for Hous<strong>in</strong>g<br />

Homeless Grant-<strong>in</strong>-Aid Program<br />

Homeless Hous<strong>in</strong>g Assistance<br />

Grant<br />

Local Homeless Coalition Grant<br />

(Staff<strong>in</strong>g Grant)<br />

Provides outreach and social services to<br />

homeless and potentially homeless<br />

women veterans.<br />

Authorizes VA to guarantee loans for<br />

construction or rehabilitation <strong>of</strong><br />

multifamily/rental transitional hous<strong>in</strong>g for<br />

homeless veterans.<br />

Funds new programs and service<br />

centers to furnish supportive services<br />

and supportive hous<strong>in</strong>g for homeless<br />

veterans.<br />

Offers structured work opportunities and<br />

supervised therapeutic hous<strong>in</strong>g.<br />

Funds the lead agency <strong>of</strong> local<br />

homeless cont<strong>in</strong>uum <strong>of</strong> care systems to<br />

implement that system <strong>of</strong> assistance to<br />

the homeless<br />

Provides a one time payment up to<br />

$400 to homeless families, or those at<br />

immediate risk <strong>of</strong> homelessness, to<br />

cover rent or mortgage payments to<br />

prevent homelessness.<br />

Direct service to homeless clients,<br />

<strong>in</strong>cludes education and outreach,<br />

eviction prevention assistance, meals,<br />

supportive services.<br />

Funds the construction or rehabilitation<br />

<strong>of</strong> transitional and permanent hous<strong>in</strong>g<br />

for homeless people<br />

Helps to fund staff capacity <strong>in</strong> each <strong>of</strong><br />

Florida’s local homeless coalitions.<br />

Fund<strong>in</strong>g Source<br />

and Level<br />

U.S. Department <strong>of</strong><br />

Veterans Affairs FFY03<br />

$2,337,605<br />

U.S. Department <strong>of</strong><br />

Veterans Affairs FFY03<br />

$306,007<br />

U.S. Department <strong>of</strong><br />

Veterans Affairs FFY03<br />

$219,083<br />

U.S. Department <strong>of</strong><br />

Veterans Affairs Pend<strong>in</strong>g<br />

project <strong>in</strong> Miami<br />

U.S. Department <strong>of</strong><br />

Veterans Affairs FFY03<br />

$1,574,316<br />

U.S. Department <strong>of</strong><br />

Veterans Affairs FFY03<br />

$123,827<br />

State Florida Hous<strong>in</strong>g<br />

Trust Fund SFY03-04<br />

$1,648,525<br />

State Florida Hous<strong>in</strong>g<br />

Trust Fund $900,000<br />

Federal TANF $900,000<br />

SFY03-04 TOTAL $1.8<br />

million<br />

State General Revenue<br />

SFY03-04 $665,938<br />

State Florida Hous<strong>in</strong>g<br />

Trust Fund SFY03-04<br />

$4,438,776<br />

State General Revenue<br />

SFY03-04 $343,750<br />

Target<br />

Funds<br />

Yes<br />

Yes<br />

Yes<br />

No<br />

Lead Agency<br />

U.S. Department<br />

<strong>of</strong> Veterans<br />

Affairs - Medical<br />

Centers<br />

U.S. Department<br />

<strong>of</strong> Veterans<br />

Affairs<br />

U.S. Department<br />

<strong>of</strong> Veterans<br />

Affairs<br />

U.S. Department<br />

<strong>of</strong> Veterans<br />

Affairs - Medical<br />

Centers<br />

Allocation<br />

Process<br />

Direct services<br />

and contract<br />

awards<br />

Direct to U.S.<br />

Department <strong>of</strong><br />

Veterans Affairs<br />

Medical Centers<br />

Direct to U.S.<br />

Department <strong>of</strong><br />

Veterans Affairs<br />

Medical Centers<br />

Competitive<br />

application<br />

process / formula<br />

Yes Direct to locals Project grant<br />

(competitive)<br />

No<br />

Yes<br />

Yes<br />

Yes<br />

Yes<br />

Yes<br />

U.S. Department<br />

<strong>of</strong> Veterans<br />

Affairs<br />

Florida<br />

Department <strong>of</strong><br />

Children and<br />

Families<br />

Florida<br />

Department <strong>of</strong><br />

Children and<br />

Families<br />

Florida<br />

Department <strong>of</strong><br />

Children and<br />

Families<br />

Florida<br />

Department <strong>of</strong><br />

Children and<br />

Families<br />

Florida<br />

Department <strong>of</strong><br />

Children and<br />

Families<br />

Direct to U.S.<br />

Department <strong>of</strong><br />

Veterans Affairs<br />

Medical Centers<br />

Competitive<br />

application<br />

process<br />

Apply at DCF<br />

field <strong>of</strong>fices.<br />

Funds allocated<br />

by the date <strong>of</strong> the<br />

applications<br />

received.<br />

Formula grant by<br />

district; allocated<br />

by DCF district<br />

adm<strong>in</strong>istrator.<br />

Competitive<br />

application<br />

process<br />

Direct allocation<br />

to each<br />

recognized<br />

coalition<br />

Eligible Populations<br />

Homeless veterans with substance abuse<br />

and/or chronic mental health problems.<br />

Homeless veterans with mental illness and<br />

substance abuse disorders.<br />

Homeless women veterans.<br />

Fund<strong>in</strong>g may be used to support projects<br />

serv<strong>in</strong>g homeless veterans and persons who<br />

are not veterans.<br />

Veterans who were discharged or released<br />

under conditions other than dishonorable.<br />

At-risk and homeless veterans with physical,<br />

psychiatric and substance abuse disorders<br />

Homeless <strong>in</strong>dividuals and families.<br />

Families with dependent children, at or below<br />

200% <strong>of</strong> federal poverty rate, and who are<br />

homeless or face the threat <strong>of</strong> homelessness.<br />

Homeless <strong>in</strong>dividuals and families.<br />

Homeless <strong>in</strong>dividuals and families.<br />

Homeless <strong>in</strong>dividuals and families.<br />

Source: OPPAGA analysis.<br />

12


Report No. 05-01<br />

OPPAGA Report<br />

Appendix B<br />

Most Florida Counties Are Covered By a<br />

Cont<strong>in</strong>uum <strong>of</strong> Care<br />

Escambia<br />

Santa Rosa<br />

Okaloosa<br />

Walton<br />

Holmes<br />

Wash<strong>in</strong>gton<br />

Bay<br />

Northeast Zone -- Districts 3, 4, 12<br />

Suwannee Valley - Columbia, Hamilton, Lafayette, and Suwannee counties<br />

North Central Florida Cont<strong>in</strong>uum <strong>of</strong> Care - Alachua, Levy, and Putnam counties<br />

Emergency Services & Homeless Coalition <strong>of</strong> Jacksonville - Duval and Clay counties<br />

Emergency Services & Homeless Coalition <strong>of</strong> St. Johns County, Inc. - St. Johns County<br />

Volusia/Flagler County Coalition for the Homeless - Volusia and Flagler counties<br />

Jackson<br />

Nassau<br />

Gadsden<br />

Jefferson<br />

Calhoun<br />

Leon<br />

Madison<br />

Hamilton<br />

Duval<br />

Baker<br />

Liberty<br />

Wakulla<br />

Suwannee<br />

Columbia<br />

Taylor<br />

Clay<br />

St. Johns<br />

Gulf<br />

Frankl<strong>in</strong><br />

Lafayette<br />

Union<br />

Bradford<br />

Panhandle Zone -- Districts 1 & 2<br />

Escarosa Coalition on the Homeless – Escambia and Santa Rosa counties<br />

Okaloosa/Walton Coalition for the Homeless – Okaloosa and Walton counties<br />

Homeless & Hunger Coalition <strong>of</strong> N.W. Florida, Inc. - Bay, Calhoun, Gulf, Holmes,<br />

Jackson, and Wash<strong>in</strong>gton counties<br />

Tallahassee Coalition for the Homeless - Frankl<strong>in</strong>, Gadsden, Jefferson, Leon, Liberty,<br />

Madison, Taylor, and Wakulla counties<br />

Dixie<br />

Gilchrist<br />

Levy<br />

Alachua<br />

Marion<br />

Citrus<br />

Sumter<br />

Putnam<br />

Lake<br />

Flagler<br />

Volusia<br />

Sem<strong>in</strong>ole<br />

Central Zone -- Districts 7, 13, 14<br />

Brevard County Department <strong>of</strong> Hous<strong>in</strong>g and Human Services –Brevard County<br />

Homeless Services Network <strong>of</strong> Central Florida - Orange, Osceola, and Sem<strong>in</strong>ole counties<br />

United Way <strong>of</strong> Marion County - Marion County<br />

Mid-Florida Homeless Coalition - Citrus, Hernando, Lake, and Sumter counties<br />

Homeless Coalition <strong>of</strong> Polk County, Inc. - Polk County<br />

Florida Heartland Rural Consortia - DeSoto, Glades, Hardee, Hendry, Highlands, and<br />

Okeechobee counties<br />

Suncoast Zone<br />

Coalition for the Homeless <strong>of</strong> Pasco County - Pasco County<br />

P<strong>in</strong>ellas County Coalition for the Homeless - P<strong>in</strong>ellas County<br />

Homeless Coalition <strong>of</strong> Hillsborough County – Hillsborough County<br />

Sarasota/Manatee Cont<strong>in</strong>uum <strong>of</strong> Care - Manatee and Sarasota counties<br />

P<strong>in</strong>ellas<br />

Hernando<br />

Pasco<br />

Hillsborough<br />

Manatee<br />

Sarasota<br />

Polk<br />

Hardee<br />

DeSoto<br />

Charlotte<br />

Lee<br />

Orange<br />

Brevard<br />

Osceola<br />

Indian River<br />

Okeechobee<br />

St. Lucie<br />

Highlands<br />

Mart<strong>in</strong><br />

Lake<br />

Okeechobee<br />

Glades<br />

Palm Beach<br />

Hendry<br />

South Zone -- Districts 8, 9, 10, 15<br />

Charlotte County Homeless Coalition - Charlotte County<br />

Collier County Department <strong>of</strong> F<strong>in</strong>ancial Adm<strong>in</strong>istration & Hous<strong>in</strong>g - Collier County<br />

Lee County Department <strong>of</strong> Human Services - Lee County<br />

Homeless Coalition <strong>of</strong> Palm Beach County, Inc. - Palm Beach County<br />

Broward County Homeless Initiative Partnership Adm<strong>in</strong>istration - Broward County<br />

Treasure Coast Homeless Services Council, Inc. - Indian River, Mart<strong>in</strong>, and St. Lucie counties<br />

Collier<br />

Monroe<br />

Broward<br />

Dade<br />

Miami Zone -- District 11<br />

Miami-Dade County Homeless Trust - Miami-Dade County<br />

Southernmost Homeless Assistance League - Monroe County<br />

Source: Office on <strong>Homelessness</strong>.<br />

13


OPPAGA Report Report No. 05-01<br />

Appendix C<br />

State Agency Activities to Assist the Homeless<br />

State agencies perform a variety <strong>of</strong> functions that benefit the homeless, <strong>in</strong>clud<strong>in</strong>g provid<strong>in</strong>g direct<br />

services to homeless <strong>in</strong>dividuals and technical assistance and fund<strong>in</strong>g to local coalitions. <strong>The</strong> table<br />

below lists the services that assist the homeless provided by n<strong>in</strong>e state agencies.<br />

Agency<br />

Agency for Health Care Adm<strong>in</strong>istration<br />

Children and Families<br />

Community Affairs<br />

Education<br />

Environmental Protection<br />

Florida Hous<strong>in</strong>g F<strong>in</strong>ance Corporation<br />

Type <strong>of</strong> Assistance<br />

• Provides Medicaid services for homeless adults who are elderly or<br />

disabled. Children and Families determ<strong>in</strong>es eligibility.<br />

• Provides hospitals with Medicaid disproportionate share money used to<br />

compensate them for services they render to low-<strong>in</strong>come patients,<br />

<strong>in</strong>clud<strong>in</strong>g people who are homeless.<br />

• Provides Medicaid providers an appropriation for services they render to<br />

eligible Medicaid recipients.<br />

• Adm<strong>in</strong>isters state and federal grant programs to assist homeless<br />

coalitions, homeless service providers and people who are homeless or at<br />

risk <strong>of</strong> becom<strong>in</strong>g homeless.<br />

• Determ<strong>in</strong>es Medicaid eligibility for homeless families or s<strong>in</strong>gle adults who<br />

are disabled or elderly.<br />

• Determ<strong>in</strong>es Food Stamp Program eligibility for homeless families or s<strong>in</strong>gle<br />

adults.<br />

• Provides mental health treatment beds.<br />

• Adm<strong>in</strong>isters Projects for Assistance <strong>in</strong> Transition from <strong>Homelessness</strong><br />

(PATH) for persons who have been diagnosed with both mental illness and<br />

substance abuse problems. Provides hous<strong>in</strong>g assistance and outreach for<br />

substance abuse treatment.<br />

• Provides medical and cash assistance to refugees, <strong>in</strong>clud<strong>in</strong>g refugees who<br />

are homeless.<br />

• Provides services and temporary shelter to victims <strong>of</strong> domestic violence.<br />

• Adm<strong>in</strong>isters the federal Community Services Block Grant Program that<br />

assists low-<strong>in</strong>come households by provid<strong>in</strong>g such services as job tra<strong>in</strong><strong>in</strong>g,<br />

education, employment assistance. <strong>The</strong> program also provides temporary<br />

assistance with emergency needs such as rent, utilities, transportation,<br />

food, cloth<strong>in</strong>g, and prescription drugs.<br />

• Develop and adopt the State <strong>of</strong> Florida Consolidated Plan, which is a<br />

federally required document that outl<strong>in</strong>es the state’s plans and efforts <strong>in</strong><br />

hous<strong>in</strong>g and community development.<br />

• Adm<strong>in</strong>isters federal grant programs to assist school districts <strong>in</strong> serv<strong>in</strong>g<br />

homeless children.<br />

• Adm<strong>in</strong>isters a water supply restoration program provid<strong>in</strong>g short-term and<br />

long-term safe dr<strong>in</strong>k<strong>in</strong>g water supplies <strong>in</strong> the areas where there is a public<br />

health threat.<br />

• Adm<strong>in</strong>isters federal revolv<strong>in</strong>g loan programs that provide low <strong>in</strong>terest loans<br />

to small communities for wastewater and dr<strong>in</strong>k<strong>in</strong>g water <strong>in</strong>frastructure<br />

construction.<br />

• Adm<strong>in</strong>isters grants to disadvantaged small community water and<br />

wastewater systems.<br />

• Provides affordable hous<strong>in</strong>g tra<strong>in</strong><strong>in</strong>g and technical assistance to homeless<br />

providers.<br />

• Provides grants and low <strong>in</strong>terest loans to develop affordable rental and<br />

ownership units.<br />

14


Report No. 05-01<br />

OPPAGA Report<br />

Agency<br />

Health<br />

Transportation Disadvantaged<br />

Commission<br />

Type <strong>of</strong> Assistance<br />

• Adm<strong>in</strong>isters the federal Hous<strong>in</strong>g Opportunities for Persons with AIDS<br />

(HOPWA) Program that provides f<strong>in</strong>ancial assistance and services (i.e.,<br />

transitional hous<strong>in</strong>g, assistance with rent, mortgage, and utilities, and case<br />

management) for persons with HIV disease and AIDS.<br />

• Provides specialized services for people who are homeless and have<br />

tuberculosis.<br />

• Provides sexually transmitted disease screen<strong>in</strong>g and education for people<br />

liv<strong>in</strong>g <strong>in</strong> homeless shelters.<br />

• Provides HIV test<strong>in</strong>g and prevention counsel<strong>in</strong>g.<br />

• Adm<strong>in</strong>isters the federal Special Supplemental Nutrition Program for<br />

Women, Infants and Children (WIC) that assists pregnant and<br />

breastfeed<strong>in</strong>g women, new mothers, <strong>in</strong>fants, and children up to the age <strong>of</strong><br />

five who have a low or moderate <strong>in</strong>come, are at nutrition risk, and who live<br />

<strong>in</strong> Florida. This may <strong>in</strong>clude homeless women and children. WIC provides<br />

healthy foods, nutrition education and counsel<strong>in</strong>g, breastfeed<strong>in</strong>g support,<br />

and referrals for health care at no cost to eligible persons.<br />

• Adm<strong>in</strong>isters the Healthy Start <strong>in</strong>itiative that provides for universal risk<br />

screen<strong>in</strong>g <strong>of</strong> all Florida's pregnant women and newborn <strong>in</strong>fants to identify<br />

those at risk <strong>of</strong> poor birth, health and developmental outcomes. Children<br />

and Families determ<strong>in</strong>es eligibility.<br />

• Assists homeless families by expla<strong>in</strong><strong>in</strong>g the application and eligibility<br />

process for the Florida KidCare program that provides health <strong>in</strong>surance for<br />

children from birth through age 18 who do not have <strong>in</strong>surance. Children<br />

and Families determ<strong>in</strong>es eligibility.<br />

• Adm<strong>in</strong>isters the Homeless Children Nutrition Program provides cash<br />

reimbursement for certa<strong>in</strong> meals and snacks served to children liv<strong>in</strong>g <strong>in</strong><br />

temporary residential sett<strong>in</strong>gs.<br />

• Provides transportation services to people whose physical or mental<br />

disability, <strong>in</strong>come status, or age makes them unable to transport<br />

themselves or to purchase transportation.<br />

Workforce Innovation<br />

• Provides services to job seekers through the One-Stop delivery system,<br />

<strong>in</strong>clud<strong>in</strong>g job tra<strong>in</strong><strong>in</strong>g, education, and employment options and <strong>in</strong>tegrates<br />

several services provided by co-located agencies, such as the Welfare-to-<br />

Work, TANF, and Food Stamp programs.<br />

Source: Governor’s Commission on the Homeless F<strong>in</strong>al Report for 2001 and OPPAGA analysis.<br />

15


OPPAGA Report Report No. 05-01<br />

Appendix D<br />

Jeb Bush<br />

Governor<br />

Lucy D. Hadi<br />

Secretary<br />

December 30, 2004<br />

Mr. Gary VanLand<strong>in</strong>gham<br />

Interim Director<br />

Office <strong>of</strong> Program Policy Analysis and<br />

Government Accountability<br />

111 West Madison Street, Room 312<br />

Tallahassee, Florida 32399-1475<br />

Dear Mr. VanLand<strong>in</strong>gham:<br />

<strong>The</strong> department has reviewed the prelim<strong>in</strong>ary f<strong>in</strong>d<strong>in</strong>gs and conclusions <strong>in</strong> your report<br />

on the <strong>Economic</strong> Impact <strong>of</strong> <strong>Homelessness</strong>. <strong>The</strong> department concurs with the f<strong>in</strong>d<strong>in</strong>gs<br />

and conclusions, <strong>in</strong>clud<strong>in</strong>g the recommendations to improve services to the homeless<br />

by state and local entities.<br />

<strong>The</strong> Office on <strong>Homelessness</strong> will cont<strong>in</strong>ue to provide technical assistance to local<br />

cont<strong>in</strong>uums <strong>of</strong> care by encourag<strong>in</strong>g them to apply for HUD fund<strong>in</strong>g and assist<strong>in</strong>g<br />

them <strong>in</strong> meet<strong>in</strong>g the necessary criteria for acquir<strong>in</strong>g federal grant awards. Our <strong>of</strong>fice<br />

will also cont<strong>in</strong>ue our efforts to help homeless <strong>in</strong>dividuals acquire assistance from<br />

ma<strong>in</strong>stream programs. Workshops to address barriers posed by these programs will<br />

be held dur<strong>in</strong>g the first quarter <strong>of</strong> 2005. We have made changes to our 2005 grant<br />

agreement to require sub-grantees to participate <strong>in</strong> a computerized <strong>in</strong>formation<br />

system to help maximize resources by <strong>in</strong>tegrat<strong>in</strong>g services and shar<strong>in</strong>g <strong>in</strong>formation.<br />

Additionally, the Office <strong>of</strong> <strong>Homelessness</strong> will support the work <strong>of</strong> the Council on<br />

<strong>Homelessness</strong> as they develop discharge plann<strong>in</strong>g procedures with<strong>in</strong> state agencies<br />

to reduce the risk <strong>of</strong> people leav<strong>in</strong>g state services and facilities from becom<strong>in</strong>g<br />

homeless.<br />

<strong>The</strong> department wishes to express our appreciation to the research team for this<br />

report. <strong>The</strong> cooperative work<strong>in</strong>g relationship with our Office on <strong>Homelessness</strong> was<br />

appreciated, and allowed for cont<strong>in</strong>uous <strong>in</strong>put to the report's f<strong>in</strong>d<strong>in</strong>gs.<br />

S<strong>in</strong>cerely,<br />

/s/<br />

Lucy D. Hadi<br />

Secretary<br />

1317 W<strong>in</strong>ewood Boulevard, Tallahassee, Florida 32399-0700<br />

<strong>The</strong> Department <strong>of</strong> Children and Families is committed to work<strong>in</strong>g <strong>in</strong> partnership with local<br />

communities to ensure safety, well-be<strong>in</strong>g and self-sufficiency for the people we serve.<br />

16


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Advocacy Foundation Publishers<br />

Page 266 <strong>of</strong> 289


Advocacy Foundation Publishers<br />

<strong>The</strong> e-Advocate Quarterly<br />

Page 267 <strong>of</strong> 289


Issue Title Quarterly<br />

Vol. I 2015 <strong>The</strong> Fundamentals<br />

I<br />

<strong>The</strong> ComeUnity ReEng<strong>in</strong>eer<strong>in</strong>g<br />

Project Initiative<br />

Q-1 2015<br />

II <strong>The</strong> Adolescent Law Group Q-2 2015<br />

III<br />

Landmark Cases <strong>in</strong> <strong>US</strong><br />

Juvenile Justice (PA)<br />

Q-3 2015<br />

IV <strong>The</strong> First Amendment Project Q-4 2015<br />

Vol. II 2016 Strategic Development<br />

V <strong>The</strong> Fourth Amendment Project Q-1 2016<br />

VI<br />

Landmark Cases <strong>in</strong> <strong>US</strong><br />

Juvenile Justice (NJ)<br />

Q-2 2016<br />

VII Youth Court Q-3 2016<br />

VIII<br />

<strong>The</strong> <strong>Economic</strong> <strong>Consequences</strong> <strong>of</strong> Legal<br />

Decision-Mak<strong>in</strong>g<br />

Q-4 2016<br />

Vol. III 2017 Susta<strong>in</strong>ability<br />

IX <strong>The</strong> Sixth Amendment Project Q-1 2017<br />

X<br />

<strong>The</strong> <strong>The</strong>ological Foundations <strong>of</strong><br />

<strong>US</strong> Law & Government<br />

Q-2 2017<br />

XI <strong>The</strong> Eighth Amendment Project Q-3 2017<br />

XII<br />

<strong>The</strong> EB-5 Investor<br />

Immigration Project*<br />

Q-4 2017<br />

Vol. IV 2018 Collaboration<br />

XIII Strategic Plann<strong>in</strong>g Q-1 2018<br />

XIV<br />

<strong>The</strong> Juvenile Justice<br />

Legislative Reform Initiative<br />

Q-2 2018<br />

XV <strong>The</strong> Advocacy Foundation Coalition Q-3 2018<br />

Page 268 <strong>of</strong> 289


XVI<br />

for Drug-Free Communities<br />

Landmark Cases <strong>in</strong> <strong>US</strong><br />

Juvenile Justice (GA)<br />

Q-4 2018<br />

Page 269 <strong>of</strong> 289


Issue Title Quarterly<br />

Vol. V 2019 Organizational Development<br />

XVII <strong>The</strong> Board <strong>of</strong> Directors Q-1 2019<br />

XVIII <strong>The</strong> Inner Circle Q-2 2019<br />

XIX Staff & Management Q-3 2019<br />

XX Succession Plann<strong>in</strong>g Q-4 2019<br />

XXI <strong>The</strong> Budget* Bonus #1<br />

XXII Data-Driven Resource Allocation* Bonus #2<br />

Vol. VI 2020 Missions<br />

XXIII Critical Th<strong>in</strong>k<strong>in</strong>g Q-1 2020<br />

XXIV<br />

<strong>The</strong> Advocacy Foundation<br />

Endowments Initiative Project<br />

Q-2 2020<br />

XXV International Labor Relations Q-3 2020<br />

XXVI Immigration Q-4 2020<br />

Vol. VII 2021 Community Engagement<br />

XXVII<br />

<strong>The</strong> 21 st Century Charter Schools<br />

Initiative<br />

Q-1 2021<br />

XXVIII <strong>The</strong> All-Sports M<strong>in</strong>istry @ ... Q-2 2021<br />

XXIX Lobby<strong>in</strong>g for Nonpr<strong>of</strong>its Q-3 2021<br />

XXX<br />

XXXI<br />

Advocacy Foundation Missions -<br />

Domestic<br />

Advocacy Foundation Missions -<br />

International<br />

Q-4 2021<br />

Bonus<br />

Page 270 <strong>of</strong> 289


Vol. VIII<br />

2022 ComeUnity ReEng<strong>in</strong>eer<strong>in</strong>g<br />

XXXII<br />

<strong>The</strong> Creative & F<strong>in</strong>e Arts M<strong>in</strong>istry<br />

@ <strong>The</strong> Foundation<br />

Q-1 2022<br />

XXXIII <strong>The</strong> Advisory Council & Committees Q-2 2022<br />

XXXIV<br />

<strong>The</strong> <strong>The</strong>ological Orig<strong>in</strong>s<br />

<strong>of</strong> Contemporary Judicial Process<br />

Q-3 2022<br />

XXXV <strong>The</strong> Second Chance M<strong>in</strong>istry @ ... Q-4 2022<br />

Vol. IX 2023 Legal Reformation<br />

XXXVI <strong>The</strong> Fifth Amendment Project Q-1 2023<br />

XXXVII <strong>The</strong> Judicial Re-Eng<strong>in</strong>eer<strong>in</strong>g Initiative Q-2 2023<br />

XXXVIII<br />

<strong>The</strong> Inner-Cities Strategic<br />

Revitalization Initiative<br />

Q-3 2023<br />

XXXVIX Habeas Corpus Q-4 2023<br />

Vol. X 2024 ComeUnity Development<br />

XXXVX<br />

<strong>The</strong> Inner-City Strategic<br />

Revitalization Plan<br />

Q-1 2024<br />

XXXVXI <strong>The</strong> Mentor<strong>in</strong>g Initiative Q-2 2024<br />

XXXVXII <strong>The</strong> Violence Prevention Framework Q-3 2024<br />

XXXVXIII <strong>The</strong> Fatherhood Initiative Q-4 2024<br />

Vol. XI 2025 Public Interest<br />

XXXVXIV Public Interest Law Q-1 2025<br />

L (50) Spiritual Resource Development Q-2 2025<br />

Page 271 <strong>of</strong> 289


LI<br />

Nonpr<strong>of</strong>it Confidentiality<br />

In <strong>The</strong> Age <strong>of</strong> Big Data<br />

Q-3 2025<br />

LII Interpret<strong>in</strong>g <strong>The</strong> Facts Q-4 2025<br />

Vol. XII 2026 Poverty In America<br />

LIII<br />

American Poverty<br />

In <strong>The</strong> New Millennium<br />

Q-1 2026<br />

LIV Outcome-Based Th<strong>in</strong>k<strong>in</strong>g Q-2 2026<br />

LV Transformational Social Leadership Q-3 2026<br />

LVI <strong>The</strong> Cycle <strong>of</strong> Poverty Q-4 2026<br />

Vol. XIII 2027 Rais<strong>in</strong>g Awareness<br />

LVII ReEng<strong>in</strong>eer<strong>in</strong>g Juvenile Justice Q-1 2027<br />

LVIII Corporations Q-2 2027<br />

LVIX <strong>The</strong> Prison Industrial Complex Q-3 2027<br />

LX Restoration <strong>of</strong> Rights Q-4 2027<br />

Vol. XIV 2028 Culturally Relevant Programm<strong>in</strong>g<br />

LXI Community Culture Q-1 2028<br />

LXII Corporate Culture Q-2 2028<br />

LXIII Strategic Cultural Plann<strong>in</strong>g Q-3 2028<br />

LXIV<br />

<strong>The</strong> Cross-Sector/ Coord<strong>in</strong>ated<br />

Service Approach to Del<strong>in</strong>quency<br />

Prevention<br />

Q-4 2028<br />

Page 272 <strong>of</strong> 289


Vol. XV 2029 Inner-Cities Revitalization<br />

LXIV<br />

LXV<br />

LXVI<br />

Part I – Strategic Hous<strong>in</strong>g<br />

Revitalization<br />

(<strong>The</strong> Twenty Percent Pr<strong>of</strong>it Marg<strong>in</strong>)<br />

Part II – Jobs Tra<strong>in</strong><strong>in</strong>g, Educational<br />

Redevelopment<br />

and <strong>Economic</strong> Empowerment<br />

Part III - F<strong>in</strong>ancial Literacy<br />

and Susta<strong>in</strong>ability<br />

Q-1 2029<br />

Q-2 2029<br />

Q-3 2029<br />

LXVII Part IV – Solutions for <strong>Homelessness</strong> Q-4 2029<br />

LXVIII<br />

<strong>The</strong> Strategic Home Mortgage<br />

Initiative<br />

Bonus<br />

Vol. XVI 2030 Susta<strong>in</strong>ability<br />

LXVIII Social Program Susta<strong>in</strong>ability Q-1 2030<br />

LXIX<br />

<strong>The</strong> Advocacy Foundation<br />

Endowments Initiative<br />

Q-2 2030<br />

LXX Capital Ga<strong>in</strong>s Q-3 2030<br />

LXXI Susta<strong>in</strong>ability Investments Q-4 2030<br />

Vol. XVII 2031 <strong>The</strong> Justice Series<br />

LXXII Distributive Justice Q-1 2031<br />

LXXIII Retributive Justice Q-2 2031<br />

LXXIV Procedural Justice Q-3 2031<br />

LXXV (75) Restorative Justice Q-4 2031<br />

LXXVI Unjust Legal Reason<strong>in</strong>g Bonus<br />

Page 273 <strong>of</strong> 289


Vol. XVIII 2032 Public Policy<br />

LXXVII Public Interest Law Q-1 2032<br />

LXXVIII Reform<strong>in</strong>g Public Policy Q-2 2032<br />

LXXVIX ... Q-3 2032<br />

LXXVX ... Q-4 2032<br />

Page 274 <strong>of</strong> 289


<strong>The</strong> e-Advocate Monthly Review<br />

2018<br />

Transformational Problem Solv<strong>in</strong>g January 2018<br />

<strong>The</strong> Advocacy Foundation February 2018<br />

Opioid Initiative<br />

Native-American Youth March 2018<br />

In the Juvenile Justice System<br />

Barriers to Reduc<strong>in</strong>g Conf<strong>in</strong>ement April 2018<br />

Lat<strong>in</strong>o and Hispanic Youth May 2018<br />

In the Juvenile Justice System<br />

Social Entrepreneurship June 2018<br />

<strong>The</strong> <strong>Economic</strong> <strong>Consequences</strong> <strong>of</strong><br />

<strong>Homelessness</strong> <strong>in</strong> America S.Ed – June 2018<br />

African-American Youth July 2018<br />

In the Juvenile Justice System<br />

Gang Deconstruction August 2018<br />

Social Impact Invest<strong>in</strong>g September 2018<br />

Opportunity Youth: October 2018<br />

Disenfranchised Young People<br />

<strong>The</strong> <strong>Economic</strong> Impact <strong>of</strong> Social November 2018<br />

<strong>of</strong> Social Programs Development<br />

Gun Control December 2018<br />

2019<br />

<strong>The</strong> U.S. Stock Market January 2019<br />

Prison-Based Gerrymander<strong>in</strong>g February 2019<br />

Literacy-Based Prison Construction March 2019<br />

Children <strong>of</strong> Incarcerated Parents April 2019<br />

Page 275 <strong>of</strong> 289


African-American Youth <strong>in</strong> <strong>The</strong> May 2019<br />

Juvenile Justice System<br />

Racial Pr<strong>of</strong>il<strong>in</strong>g June 2019<br />

Mass Collaboration July 2019<br />

Concentrated Poverty August 2019<br />

De-Industrialization September 2019<br />

Overcom<strong>in</strong>g Dyslexia October 2019<br />

Overcom<strong>in</strong>g Attention Deficit November 2019<br />

<strong>The</strong> Gift <strong>of</strong> Adversity December 2019<br />

2020<br />

<strong>The</strong> Gift <strong>of</strong> Hypersensitivity January 2020<br />

<strong>The</strong> Gift <strong>of</strong> Introspection February 2020<br />

<strong>The</strong> Gift <strong>of</strong> Introversion March 2020<br />

<strong>The</strong> Gift <strong>of</strong> Spirituality April 2020<br />

<strong>The</strong> Gift <strong>of</strong> Transformation May 2020<br />

…<br />

Page 276 <strong>of</strong> 289


<strong>The</strong> e-Advocate Quarterly<br />

Special Editions<br />

Crowdfund<strong>in</strong>g W<strong>in</strong>ter-Spr<strong>in</strong>g 2017<br />

Social Media for Nonpr<strong>of</strong>its October 2017<br />

Mass Media for Nonpr<strong>of</strong>its November 2017<br />

<strong>The</strong> Opioid Crisis <strong>in</strong> America: January 2018<br />

Issues <strong>in</strong> Pa<strong>in</strong> Management<br />

<strong>The</strong> Opioid Crisis <strong>in</strong> America: February 2018<br />

<strong>The</strong> Drug Culture <strong>in</strong> the U.S.<br />

<strong>The</strong> Opioid Crisis <strong>in</strong> America: March 2018<br />

Drug Abuse Among Veterans<br />

<strong>The</strong> Opioid Crisis <strong>in</strong> America: April 2018<br />

Drug Abuse Among America’s<br />

Teens<br />

<strong>The</strong> Opioid Crisis <strong>in</strong> America: May 2018<br />

Alcoholism<br />

<strong>The</strong> <strong>Economic</strong> <strong>Consequences</strong> <strong>of</strong> June 2018<br />

<strong>Homelessness</strong> <strong>in</strong> <strong>The</strong> <strong>US</strong><br />

<strong>The</strong> <strong>Economic</strong> <strong>Consequences</strong> <strong>of</strong> July 2018<br />

Opioid Addiction <strong>in</strong> America<br />

Page 277 <strong>of</strong> 289


<strong>The</strong> e-Advocate Journal<br />

<strong>of</strong> <strong>The</strong>ological Jurisprudence<br />

Vol. I - 2017<br />

<strong>The</strong> <strong>The</strong>ological Orig<strong>in</strong>s <strong>of</strong> Contemporary Judicial Process<br />

Scriptural Application to <strong>The</strong> Model Crim<strong>in</strong>al Code<br />

Scriptural Application for Tort Reform<br />

Scriptural Application to Juvenile Justice Reformation<br />

Vol. II - 2018<br />

Scriptural Application for <strong>The</strong> Canons <strong>of</strong> Ethics<br />

Scriptural Application to Contracts Reform<br />

& <strong>The</strong> Uniform Commercial Code<br />

Scriptural Application to <strong>The</strong> Law <strong>of</strong> Property<br />

Scriptural Application to <strong>The</strong> Law <strong>of</strong> Evidence<br />

Page 278 <strong>of</strong> 289


Legal Missions International<br />

Page 279 <strong>of</strong> 289


Issue Title Quarterly<br />

Vol. I 2015<br />

I<br />

II<br />

God’s Will and <strong>The</strong> 21 st Century<br />

Democratic Process<br />

<strong>The</strong> Community<br />

Engagement Strategy<br />

Q-1 2015<br />

Q-2 2015<br />

III Foreign Policy Q-3 2015<br />

IV<br />

Public Interest Law<br />

<strong>in</strong> <strong>The</strong> New Millennium<br />

Q-4 2015<br />

Vol. II 2016<br />

V Ethiopia Q-1 2016<br />

VI Zimbabwe Q-2 2016<br />

VII Jamaica Q-3 2016<br />

VIII Brazil Q-4 2016<br />

Vol. III 2017<br />

IX India Q-1 2017<br />

X Sur<strong>in</strong>ame Q-2 2017<br />

XI <strong>The</strong> Caribbean Q-3 2017<br />

XII United States/ Estados Unidos Q-4 2017<br />

Vol. IV 2018<br />

XIII Cuba Q-1 2018<br />

XIV Gu<strong>in</strong>ea Q-2 2018<br />

XV Indonesia Q-3 2018<br />

XVI Sri Lanka Q-4 2018<br />

Page 280 <strong>of</strong> 289


Vol. V 2019<br />

XVII Russia Q-1 2019<br />

XVIII Australia Q-2 2019<br />

XIV South Korea Q-3 2019<br />

XV Puerto Rico Q-4 2019<br />

Issue Title Quarterly<br />

Vol. VI 2020<br />

XVI Tr<strong>in</strong>idad & Tobago Q-1 2020<br />

XVII Egypt Q-2 2020<br />

XVIII Sierra Leone Q-3 2020<br />

XIX South Africa Q-4 2020<br />

XX Israel Bonus<br />

Vol. VII 2021<br />

XXI Haiti Q-1 2021<br />

XXII Peru Q-2 2021<br />

XXIII Costa Rica Q-3 2021<br />

XXIV Ch<strong>in</strong>a Q-4 2021<br />

XXV Japan Bonus<br />

Vol VIII 2022<br />

XXVI Chile Q-1 2022<br />

Page 281 <strong>of</strong> 289


<strong>The</strong> e-Advocate Juvenile Justice Report<br />

______<br />

Vol. I – Juvenile Del<strong>in</strong>quency <strong>in</strong> <strong>The</strong> <strong>US</strong><br />

Vol. II. – <strong>The</strong> Prison Industrial Complex<br />

Vol. III – Restorative/ Transformative Justice<br />

Vol. IV – <strong>The</strong> Sixth Amendment Right to <strong>The</strong> Effective Assistance <strong>of</strong> Counsel<br />

Vol. V – <strong>The</strong> <strong>The</strong>ological Foundations <strong>of</strong> Juvenile Justice<br />

Vol. VI – Collaborat<strong>in</strong>g to Eradicate Juvenile Del<strong>in</strong>quency<br />

Page 282 <strong>of</strong> 289


<strong>The</strong> e-Advocate Newsletter<br />

Genesis <strong>of</strong> <strong>The</strong> Problem<br />

Family Structure<br />

Societal Influences<br />

Evidence-Based Programm<strong>in</strong>g<br />

Strengthen<strong>in</strong>g Assets v. Elim<strong>in</strong>at<strong>in</strong>g Deficits<br />

2012 - Juvenile Del<strong>in</strong>quency <strong>in</strong> <strong>The</strong> <strong>US</strong><br />

Introduction/Ideology/Key Values<br />

Philosophy/Application & Practice<br />

Expungement & Pardons<br />

Pardons & Clemency<br />

Examples/Best Practices<br />

2013 - Restorative Justice <strong>in</strong> <strong>The</strong> <strong>US</strong><br />

2014 - <strong>The</strong> Prison Industrial Complex<br />

25% <strong>of</strong> the World's Inmates Are In the <strong>US</strong><br />

<strong>The</strong> <strong>Economic</strong>s <strong>of</strong> Prison Enterprise<br />

<strong>The</strong> Federal Bureau <strong>of</strong> Prisons<br />

<strong>The</strong> After-Effects <strong>of</strong> Incarceration/Individual/Societal<br />

<strong>The</strong> Fourth Amendment Project<br />

<strong>The</strong> Sixth Amendment Project<br />

<strong>The</strong> Eighth Amendment Project<br />

<strong>The</strong> Adolescent Law Group<br />

2015 - <strong>US</strong> Constitutional Issues In <strong>The</strong> New Millennium<br />

Page 283 <strong>of</strong> 289


2018 - <strong>The</strong> <strong>The</strong>ological Law Firm Academy<br />

<strong>The</strong> <strong>The</strong>ological Foundations <strong>of</strong> <strong>US</strong> Law & Government<br />

<strong>The</strong> <strong>Economic</strong> <strong>Consequences</strong> <strong>of</strong> Legal Decision-Mak<strong>in</strong>g<br />

<strong>The</strong> Juvenile Justice Legislative Reform Initiative<br />

<strong>The</strong> EB-5 International Investors Initiative<br />

2017 - Organizational Development<br />

<strong>The</strong> Board <strong>of</strong> Directors<br />

<strong>The</strong> Inner Circle<br />

Staff & Management<br />

Succession Plann<strong>in</strong>g<br />

Bonus #1 <strong>The</strong> Budget<br />

Bonus #2 Data-Driven Resource Allocation<br />

2018 - Susta<strong>in</strong>ability<br />

<strong>The</strong> Data-Driven Resource Allocation Process<br />

<strong>The</strong> Quality Assurance Initiative<br />

<strong>The</strong> Advocacy Foundation Endowments Initiative<br />

<strong>The</strong> Community Engagement Strategy<br />

2019 - Collaboration<br />

Critical Th<strong>in</strong>k<strong>in</strong>g for Transformative Justice<br />

International Labor Relations<br />

Immigration<br />

God's Will & <strong>The</strong> 21st Century Democratic Process<br />

<strong>The</strong> Community Engagement Strategy<br />

<strong>The</strong> 21st Century Charter Schools Initiative<br />

2020 - Community Engagement<br />

Page 284 <strong>of</strong> 289


Extras<br />

<strong>The</strong> Nonpr<strong>of</strong>it Advisors Group Newsletters<br />

<strong>The</strong> 501(c)(3) Acquisition Process<br />

<strong>The</strong> Board <strong>of</strong> Directors<br />

<strong>The</strong> Gladiator Mentality<br />

Strategic Plann<strong>in</strong>g<br />

Fundrais<strong>in</strong>g<br />

501(c)(3) Re<strong>in</strong>statements<br />

<strong>The</strong> Collaborative <strong>US</strong>/ International Newsletters<br />

How You Th<strong>in</strong>k Is Everyth<strong>in</strong>g<br />

<strong>The</strong> Reciprocal Nature <strong>of</strong> Bus<strong>in</strong>ess Relationships<br />

Accelerate Your Pr<strong>of</strong>essional Development<br />

<strong>The</strong> Competitive Nature <strong>of</strong> Grant Writ<strong>in</strong>g<br />

Assess<strong>in</strong>g <strong>The</strong> Risks<br />

Page 285 <strong>of</strong> 289


Page 286 <strong>of</strong> 289


About <strong>The</strong> Author<br />

John C (Jack) Johnson III<br />

Founder & CEO<br />

Jack was educated at Temple University, <strong>in</strong> Philadelphia, Pennsylvania and Rutgers<br />

Law School, <strong>in</strong> Camden, New Jersey. In 1999, he moved to Atlanta, Georgia to pursue<br />

greater opportunities to provide Advocacy and Preventive Programmatic services for atrisk/<br />

at-promise young persons, their families, and Justice Pr<strong>of</strong>essionals embedded <strong>in</strong> the<br />

Juvenile Justice process <strong>in</strong> order to help facilitate its transcendence <strong>in</strong>to the 21 st Century.<br />

<strong>The</strong>re, along with a small group <strong>of</strong> community and faith-based pr<strong>of</strong>essionals, “<strong>The</strong> Advocacy Foundation, Inc." was conceived<br />

and developed over roughly a thirteen year period, orig<strong>in</strong>ally chartered as a Juvenile Del<strong>in</strong>quency Prevention and Educational<br />

Support Services organization consist<strong>in</strong>g <strong>of</strong> Mentor<strong>in</strong>g, Tutor<strong>in</strong>g, Counsel<strong>in</strong>g, Character Development, Community Change<br />

Management, Practitioner Re-Education & Tra<strong>in</strong><strong>in</strong>g, and a host <strong>of</strong> related components.<br />

<strong>The</strong> Foundation’s Overarch<strong>in</strong>g Mission is “To help Individuals, Organizations, & Communities Achieve <strong>The</strong>ir Full Potential”, by<br />

implement<strong>in</strong>g a wide array <strong>of</strong> evidence-based proactive multi-discipl<strong>in</strong>ary "Restorative & Transformative Justice" programs &<br />

projects currently throughout the northeast, southeast, and western <strong>in</strong>ternational-waters regions, provid<strong>in</strong>g prevention and support<br />

services to at-risk/ at-promise youth, to young adults, to their families, and to Social Service, Justice and Mental<br />

Health pr<strong>of</strong>essionals” everywhere. <strong>The</strong> Foundation has s<strong>in</strong>ce relocated its headquarters to Philadelphia, Pennsylvania, and been<br />

expanded to <strong>in</strong>clude a three-tier mission.<br />

In addition to his work with the Foundation, Jack also served as an Adjunct Pr<strong>of</strong>essor <strong>of</strong> Law & Bus<strong>in</strong>ess at National-Louis<br />

University <strong>of</strong> Atlanta (where he taught Political Science, Bus<strong>in</strong>ess & Legal Ethics, Labor & Employment Relations, and Critical<br />

Th<strong>in</strong>k<strong>in</strong>g courses to undergraduate and graduate level students). Jack has also served as Board President for a host <strong>of</strong> wellestablished<br />

and up & com<strong>in</strong>g nonpr<strong>of</strong>it organizations throughout the region, <strong>in</strong>clud<strong>in</strong>g “Visions Unlimited Community<br />

Development Systems, Inc.”, a multi-million dollar, award-w<strong>in</strong>n<strong>in</strong>g, Violence Prevention and Gang Intervention Social Service<br />

organization <strong>in</strong> Atlanta, as well as Vice-Chair <strong>of</strong> the Georgia/ Metropolitan Atlanta Violence Prevention Partnership, a state-wide<br />

300 organizational member, violence prevention group led by the Morehouse School <strong>of</strong> Medic<strong>in</strong>e, Emory University and <strong>The</strong><br />

Orig<strong>in</strong>al, Atlanta-Based, Mart<strong>in</strong> Luther K<strong>in</strong>g Center.<br />

Attorney Johnson’s prior accomplishments <strong>in</strong>clude a wide-array <strong>of</strong> Pr<strong>of</strong>essional Legal practice areas, <strong>in</strong>clud<strong>in</strong>g Private Firm,<br />

Corporate and Government post<strong>in</strong>gs, just about all <strong>of</strong> which yielded significant pr<strong>of</strong>essional awards & accolades, the history and<br />

chronology <strong>of</strong> which are available for review onl<strong>in</strong>e. Throughout his career, Jack has served a wide variety <strong>of</strong> for-pr<strong>of</strong>it<br />

corporations, law firms, and nonpr<strong>of</strong>it organizations as Board Chairman, Secretary, Associate, and General Counsel s<strong>in</strong>ce 1990.<br />

www.<strong>The</strong>AdvocacyFoundation.org<br />

Clayton County Youth Services Partnership, Inc. – Chair; Georgia Violence Prevention Partnership, Inc – Vice Chair; Fayette<br />

County NAACP - Legal Redress Committee Chairman; Clayton County Fatherhood Initiative Partnership – Pr<strong>in</strong>cipal<br />

Investigator; Morehouse School <strong>of</strong> Medic<strong>in</strong>e School <strong>of</strong> Community Health Feasibility Study - Steer<strong>in</strong>g Committee; Atlanta<br />

Violence Prevention Capacity Build<strong>in</strong>g Project – Project Partner; Clayton County M<strong>in</strong>ister’s Conference, President 2006-2007;<br />

Liberty In Life M<strong>in</strong>istries, Inc. – Board Secretary; Young Adults Talk, Inc. – Board <strong>of</strong> Directors; ROYAL, Inc - Board <strong>of</strong><br />

Directors; Temple University Alumni Association; Rutgers Law School Alumni Association; Sertoma International; Our<br />

Common Welfare Board <strong>of</strong> Directors – President)2003-2005; River’s Edge Elementary School PTA (Co-President); Summerhill<br />

Community M<strong>in</strong>istries; Outstand<strong>in</strong>g Young Men <strong>of</strong> America; Employee <strong>of</strong> the Year; Academic All-American - Basketball;<br />

Church Trustee.<br />

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www.<strong>The</strong>AdvocacyFoundation.org<br />

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