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Demographic Profile of Senior in Wayne County, Michigan

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<strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> <strong>Wayne</strong> <strong>County</strong><br />

Implications for Fund<strong>in</strong>g and Service Delivery<br />

F<strong>in</strong>al Report<br />

Prepared for:<br />

The Detroit Area Agency on Ag<strong>in</strong>g<br />

Prepared by:<br />

<strong>Wayne</strong> State University Center for Urban Studies<br />

<strong>Michigan</strong> Metropolitan Information Center<br />

Funded by the U.S. Adm<strong>in</strong>istration on Ag<strong>in</strong>g through the<br />

<strong>County</strong> <strong>of</strong> <strong>Wayne</strong> Office <strong>of</strong> <strong>Senior</strong> Citizens Services<br />

June, 2004<br />

v


<strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>:<br />

Implications for Fund<strong>in</strong>g and Service Delivery<br />

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

<strong>Wayne</strong> <strong>County</strong> Executive Summary xi - xvi<br />

Background xi<br />

Key F<strong>in</strong>d<strong>in</strong>gs xi<br />

<strong>Wayne</strong> <strong>County</strong> Report<br />

Index to <strong>Wayne</strong> <strong>County</strong> Report Tables & Figures<br />

Key F<strong>in</strong>d<strong>in</strong>gs 1<br />

Total Population Trends 3<br />

M<strong>in</strong>ority Population Trends 4<br />

Poverty Trends 7<br />

Liv<strong>in</strong>g Arrangements 11<br />

Education Atta<strong>in</strong>ment and Spoken Language 12<br />

Conclusions 13<br />

<strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> Plann<strong>in</strong>g & Service Area 1-A Report<br />

Index to PSA 1-A Report Tables & Figures<br />

Key F<strong>in</strong>d<strong>in</strong>gs 1<br />

Total Population Trends 5<br />

M<strong>in</strong>ority Population Trends 7<br />

Poverty Trends 8<br />

Liv<strong>in</strong>g Arrangements 11<br />

Further Analyses <strong>of</strong> Region 1-A 12<br />

Community Analysis<br />

Population Trends 12<br />

M<strong>in</strong>ority Trends 13<br />

Poverty Trends 14<br />

Liv<strong>in</strong>g Arrangements 15<br />

Sector Analysis<br />

Population Trends 17<br />

M<strong>in</strong>ority Trends 18<br />

Poverty Trends 19<br />

Liv<strong>in</strong>g Arrangements 21<br />

Hous<strong>in</strong>g Trends 22<br />

Disability Status 23<br />

Educational Atta<strong>in</strong>ment and Spoken Language 25<br />

Conclusions and Recommendations 27<br />

vii


<strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>:<br />

Implication for Fund<strong>in</strong>g and Service Delivery<br />

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

<strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C Report<br />

Index to PSA 1-C Tables & Figures<br />

Key F<strong>in</strong>d<strong>in</strong>gs 1<br />

Total Population Trends 3<br />

M<strong>in</strong>ority Population Trends 5<br />

Poverty Trends 6<br />

Liv<strong>in</strong>g Arrangements 9<br />

Community Analysis<br />

Population and Socioeconomic Characteristics 10<br />

Population Trends 11<br />

M<strong>in</strong>ority Trends 11<br />

Poverty Trends 11<br />

Liv<strong>in</strong>g Arrangements 14<br />

Disability Status 17<br />

Educational Atta<strong>in</strong>ment and Language Spoken 20<br />

Hous<strong>in</strong>g Characteristics 22<br />

Conclusions and Recommendations 25<br />

Appendix A: <strong>Wayne</strong> <strong>County</strong> Tables<br />

Table 1 General Population Trends by Community <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 1990 – 2000<br />

Table 2 Liv<strong>in</strong>g Arrangement Trends by Community <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 1990 – 2000<br />

Appendix B: <strong>Wayne</strong> <strong>County</strong> Maps<br />

Reference Maps<br />

<strong>Michigan</strong> Area Agencies on Ag<strong>in</strong>g Plann<strong>in</strong>g and Service Areas<br />

<strong>Wayne</strong> <strong>County</strong> by Area Agency on Ag<strong>in</strong>g Service Area<br />

Sector Map: Detroit Area Agency on Ag<strong>in</strong>g – Region 1-A<br />

Communities <strong>in</strong> PSA 1-A: Detroit Area Agency on Ag<strong>in</strong>g<br />

Communities <strong>in</strong> PSA 1-C – The <strong>Senior</strong> Alliance<br />

<strong>Wayne</strong> <strong>County</strong> Data Maps by Community<br />

Percent Change <strong>in</strong> Total Population, 1990 to 2000 for <strong>Wayne</strong> <strong>County</strong> Communities<br />

Percent Change and Number Change <strong>in</strong> Population 60 Years and Over, 1990 - 2000<br />

Population 60 Years <strong>of</strong> Age and Over as Share <strong>of</strong> Total Population, 2000<br />

M<strong>in</strong>orities 60 Years <strong>of</strong> Age and Over as Share <strong>of</strong> All Persons 60 Years and Over, 2000<br />

Percent <strong>of</strong> Population 60 Years and Over, at, or Below 150% <strong>of</strong> Poverty<br />

viii


<strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>:<br />

Implication for Fund<strong>in</strong>g and Service Delivery<br />

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

PSA 1-A Data Maps by Community<br />

Number <strong>of</strong> Persons 60 Years <strong>of</strong> Age and Over, 2000<br />

Percent Change and Number Change <strong>in</strong> Population 60 Years <strong>of</strong> Age and Over, 1990 – 2000<br />

M<strong>in</strong>orities 60 Years <strong>of</strong> Age and Over as Share <strong>of</strong> All Persons 60 Years and Over, 2000<br />

Percent <strong>of</strong> Population 60 Years and Over at or Below 150% <strong>of</strong> Poverty<br />

PSA 1-C Data Maps by Community<br />

Population 60 Years <strong>of</strong> Age and Over, 2000<br />

Percent Change and Number Change <strong>in</strong> Population 60 Years <strong>of</strong> Age and Over, 1990 – 2000<br />

Percent M<strong>in</strong>ority <strong>in</strong> the Population 60 Years <strong>of</strong> Age and Over, 2000<br />

Percent <strong>of</strong> Population 60 Years and Over at or Below 150% <strong>of</strong> Poverty<br />

ix


Executive Summary<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>:<br />

Implications for Fund<strong>in</strong>g and Service Delivery<br />

Background<br />

The follow<strong>in</strong>g three reports present demographic changes occurr<strong>in</strong>g <strong>in</strong> the senior<br />

population <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, as revealed by an analysis <strong>of</strong> census data. In an effort to<br />

better plan service delivery <strong>in</strong> times <strong>of</strong> dim<strong>in</strong>ish<strong>in</strong>g resources, this analysis was designed<br />

to:<br />

1. Understand the demographic changes occurr<strong>in</strong>g with<strong>in</strong> the senior population <strong>in</strong><br />

the county as a whole, as well as <strong>in</strong> the two service areas, PSAs 1-A and 1-C, that<br />

serve the elderly;<br />

2. Understand how these changes compare to <strong>Michigan</strong> as a whole, as well as the<br />

other 14 regions <strong>in</strong> the State; and<br />

3. Develop a detailed geographic analysis <strong>of</strong> the senior distribution with<strong>in</strong> the<br />

county and each <strong>of</strong> the service areas.<br />

Key f<strong>in</strong>d<strong>in</strong>gs centered on the follow<strong>in</strong>g topics:<br />

• Calculation <strong>of</strong> the area agencies’ stand<strong>in</strong>g on the key fund<strong>in</strong>g formula factors<br />

relative to the other 14 regions <strong>in</strong> the state;<br />

• Analysis <strong>of</strong> other census data related to the demographic, socioeconomic and<br />

hous<strong>in</strong>g characteristics <strong>of</strong> the area agencies’ senior population;<br />

• Development <strong>of</strong> detailed pr<strong>of</strong>iles <strong>of</strong> seniors by community and sector with<strong>in</strong> PSA<br />

1-A’s service area, and by community <strong>in</strong> PSA 1-C’s service area;<br />

• Mapp<strong>in</strong>g <strong>of</strong> selected variables by community and sector; and, <strong>in</strong> the case <strong>of</strong> PSA<br />

1-A,<br />

• Mapp<strong>in</strong>g <strong>of</strong> service provider locations, by selected categories, <strong>in</strong> order to study<br />

alignment <strong>of</strong> service needs with provider resources.<br />

Key F<strong>in</strong>d<strong>in</strong>gs<br />

While the <strong>in</strong>dividual reports explore the senior population on a number <strong>of</strong> dimensions,<br />

this summary is only <strong>in</strong>tended to summarize the major demographic f<strong>in</strong>d<strong>in</strong>gs that<br />

describe recent trends and highlight areas <strong>of</strong> need.<br />

Population shifts with<strong>in</strong> the State <strong>of</strong> <strong>Michigan</strong> <strong>in</strong> general, and with<strong>in</strong> the <strong>in</strong>ner core <strong>of</strong> the<br />

Detroit metropolitan area specifically, have resulted <strong>in</strong> a steady decl<strong>in</strong>e <strong>in</strong> <strong>Wayne</strong><br />

<strong>County</strong>’s share <strong>of</strong> state seniors over the last 40 years, from 33 to 20 percent. This decl<strong>in</strong>e<br />

<strong>of</strong> 13 percentage po<strong>in</strong>ts has not been experienced evenly throughout the county. Trends<br />

Executive Summary to <strong>Senior</strong> Analysis<br />

xi


<strong>in</strong> the movement <strong>of</strong> the elderly have followed those <strong>of</strong> the general population, as older<br />

communities - Detroit, Highland Park, River Rouge, Ecorse, etc. – have lost large<br />

numbers <strong>of</strong> elderly, while newer, grow<strong>in</strong>g communities – Brownstown, Canton,<br />

Northville and Plymouth townships – have experienced significant ga<strong>in</strong>s. The large<br />

population losses <strong>in</strong> Detroit over the period led to a 15.6 percentage po<strong>in</strong>t decrease <strong>in</strong><br />

share for PSA 1-A from 24.9 to 9.3 percent, while movement to the suburbs led to a<br />

slight <strong>in</strong>crease <strong>of</strong> 2.5 percentage po<strong>in</strong>ts <strong>in</strong> PSA 1-C’s share from 8.2 to 10.7. In spite <strong>of</strong><br />

the overall 30-year ga<strong>in</strong>, PSA 1-C experienced its first loss <strong>in</strong> share dur<strong>in</strong>g the 1990s.<br />

<strong>Wayne</strong> <strong>County</strong> and Area Agencies’ Shares <strong>of</strong> State’s 60+ Population, 1970 - 2000<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

<strong>Wayne</strong> <strong>County</strong><br />

1-A<br />

1-C<br />

1970 1980 1990 2000<br />

A special analysis, utiliz<strong>in</strong>g the Public Use Microdata Sample (PUMS) file from the 2000<br />

Census, 1 reveals the migration patterns <strong>of</strong> <strong>Wayne</strong> and Monroe <strong>County</strong> seniors 2 <strong>in</strong> the<br />

second half <strong>of</strong> the 1990s – between 1995 and 2000. A total <strong>of</strong> 68,048 persons 60 years<br />

and over who resided <strong>in</strong> <strong>Wayne</strong> and Monroe counties <strong>in</strong> 1995 had moved by 2000 (does<br />

not <strong>in</strong>clude seniors leav<strong>in</strong>g the State <strong>of</strong> <strong>Michigan</strong>). Of this total, 45,107, or 66 percent,<br />

moved with<strong>in</strong> the <strong>Wayne</strong>/Monroe area. While we cannot identify specific communities<br />

<strong>of</strong> residence <strong>in</strong> 1995, we do know that 18,090 (40 percent <strong>of</strong> movers) were resid<strong>in</strong>g <strong>in</strong> the<br />

City <strong>of</strong> Detroit <strong>in</strong> 2000, while 27,017 (60 percent <strong>of</strong> movers) were elsewhere <strong>in</strong> the twocounty<br />

area. The dest<strong>in</strong>ations <strong>of</strong> the 22,941, or 34 percent, who moved out were<br />

distributed as follows: 5,491 moved to Oakland <strong>County</strong>; 4,764 moved to Macomb<br />

<strong>County</strong>; 5,409 moved to the rema<strong>in</strong>der <strong>of</strong> Southeast <strong>Michigan</strong> (Lapeer, Lenawee,<br />

Liv<strong>in</strong>gston, St. Clair and Washtenaw counties); 349 moved to Genesee <strong>County</strong>; and,<br />

6,366 moved somewhere else <strong>in</strong> the State <strong>of</strong> <strong>Michigan</strong>.<br />

1 PUMS files conta<strong>in</strong> <strong>in</strong>dividual records <strong>of</strong> the characteristics for a 5 percent sample <strong>of</strong> people and hous<strong>in</strong>g<br />

units. The data are delivered by Public Use Microdata Areas (PUMAs) – geographic areas conta<strong>in</strong><strong>in</strong>g a<br />

m<strong>in</strong>imum population <strong>of</strong> 100,000 persons. The <strong>in</strong>dividual records allow researchers to develop data<br />

analyses, such as migration patterns, that are not available <strong>in</strong> standard census releases.<br />

2 The PUMS migration file identified PUMAs for both 1995 and 2000. The 1995 PUMA area comb<strong>in</strong>ed<br />

<strong>Wayne</strong> and Monroe counties, while the 2000 PUMAs provided great sub-county detail.<br />

Executive Summary to <strong>Senior</strong> Analysis<br />

xii


One component <strong>of</strong> this tabulation that is discussed <strong>in</strong> the next section – race - deserves<br />

additional discussion <strong>in</strong> light <strong>of</strong> the PUMS analysis. While the vast majority <strong>of</strong> m<strong>in</strong>ority<br />

seniors (primarily Black) who moved rema<strong>in</strong>ed <strong>in</strong> <strong>Wayne</strong> <strong>County</strong> (primarily Detroit), a<br />

significant number did choose Oakland <strong>County</strong> as their home. Thirty percent <strong>of</strong> seniors<br />

who moved to Oakland <strong>County</strong> were non-White. This contrasts with the 6 percent non-<br />

White component that moved to Macomb <strong>County</strong>.<br />

Migration Trends <strong>of</strong> <strong>Wayne</strong> and Monroe <strong>County</strong> <strong>Senior</strong>s Between 1995 and 2000<br />

Total Movers White Black Other Where Did They Go?<br />

45,107 27,244 16,413 1,450 Moved With<strong>in</strong> Area<br />

18,090 3,151 14,194 745 Detroit<br />

27,017 24,093 2,219 705 <strong>Wayne</strong> <strong>County</strong> rema<strong>in</strong>der/Monroe <strong>County</strong><br />

22,941 19,572 2,994 375 Moved Out <strong>of</strong> Area<br />

4,764 4,483 229 52 Macomb <strong>County</strong><br />

5,491 3,850 1,532 109 Oakland <strong>County</strong><br />

5,971 5,409 522 40 Rema<strong>in</strong>der <strong>of</strong> Southeast <strong>Michigan</strong><br />

349 309 40 0 Fl<strong>in</strong>t/Genesee <strong>County</strong><br />

6,366 5,521 671 174 State Rema<strong>in</strong>der<br />

<strong>Wayne</strong> <strong>County</strong> also experienced a 7.7 percentage po<strong>in</strong>t drop <strong>in</strong> its share <strong>of</strong> the State’s<br />

m<strong>in</strong>ority elderly over the decade <strong>of</strong> the 1990s, from 68.1 to 60.4 percent. Once aga<strong>in</strong> the<br />

driv<strong>in</strong>g force was population loss <strong>in</strong> Detroit which, coupled with <strong>in</strong>creas<strong>in</strong>g numbers <strong>of</strong><br />

m<strong>in</strong>ority elderly <strong>in</strong> the Detroit suburbs, led to an 8.4 percentage po<strong>in</strong>t decrease <strong>in</strong> PSA 1-<br />

A’s share from 62.9 to 54.5 percent, and a 0.7 percentage po<strong>in</strong>t <strong>in</strong>crease <strong>in</strong> PSA 1-C’s<br />

share from 5.2 to 5.9 percent.<br />

<strong>Wayne</strong> <strong>County</strong> and Area Agencies’ Shares <strong>of</strong> State’s M<strong>in</strong>ority <strong>Senior</strong>s, 1990 and 2000<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

1990 2000<br />

<strong>Wayne</strong> <strong>County</strong><br />

1-A<br />

1-C<br />

A detailed look at the composition <strong>of</strong> this population shows differ<strong>in</strong>g shares across<br />

groups. While <strong>Wayne</strong> <strong>County</strong> accounted for just over 60 percent <strong>of</strong> <strong>Michigan</strong>’s total<br />

Executive Summary to <strong>Senior</strong> Analysis<br />

xiii


m<strong>in</strong>ority elderly population, 68 percent <strong>of</strong> the State’s African American seniors resided<br />

there, followed by 30 percent <strong>of</strong> Multi-race, 27 percent <strong>of</strong> Other race, 24 percent <strong>of</strong> Asian<br />

and Pacific Islanders, and 17 percent <strong>of</strong> Native Americans. While not <strong>in</strong>cluded <strong>in</strong> the<br />

calculations <strong>of</strong> m<strong>in</strong>ority seniors, it should be noted that both Hispanics and Arab<br />

Americans comprise grow<strong>in</strong>g segments <strong>of</strong> the county’s elderly population. <strong>Wayne</strong><br />

<strong>County</strong> conta<strong>in</strong>ed 37 percent <strong>of</strong> the State’s Arab American seniors and 29 percent <strong>of</strong> it<br />

Lat<strong>in</strong>o/Hispanic seniors. M<strong>in</strong>ority seniors accounted for 37 percent <strong>of</strong> all seniors <strong>in</strong><br />

<strong>Wayne</strong> <strong>County</strong>, with African Americans represent<strong>in</strong>g 92.5 percent <strong>of</strong> this total.<br />

<strong>Wayne</strong> <strong>County</strong> Shares <strong>of</strong> State’s M<strong>in</strong>ority <strong>Senior</strong>s by Detailed Group, 2000<br />

<strong>Michigan</strong><br />

<strong>Wayne</strong><br />

<strong>County</strong><br />

Share <strong>of</strong><br />

State<br />

Share <strong>of</strong><br />

<strong>County</strong><br />

<strong>Senior</strong>s<br />

M<strong>in</strong>ority<br />

Share with<strong>in</strong><br />

<strong>Wayne</strong><br />

<strong>County</strong><br />

Total M<strong>in</strong>ority 195,459 118,041 60.4% 37.0%<br />

African American 160,741 109,175 67.9% 34.2% 92.5%<br />

Native American 4,658 776 16.7% 0.2% 0.7%<br />

Asian and Pacific Islander 12,298 2,913 23.7% 0.9% 2.5%<br />

Other Race 5,260 1,428 27.1% 0.4% 1.2%<br />

Multi-Race 12,502 3,749 30.0% 1.2% 3.2%<br />

Hispanic 18,653 5,379 28.8% 1.7% 4.6%<br />

Arab American 10,047 3,718 37.0% 1.2% 3.1%<br />

<strong>Wayne</strong> <strong>County</strong>’s share <strong>of</strong> the State’s elderly <strong>in</strong> poverty grew slightly between 1979 and<br />

1989, as the <strong>in</strong>crease <strong>in</strong> Region 1-C’s share, due to <strong>in</strong>creased population, outdistanced the<br />

decrease experienced <strong>in</strong> Region 1-A. This trend reversed itself between 1989 and 1999.<br />

While Region 1-C was <strong>in</strong>creas<strong>in</strong>g its overall share, <strong>in</strong> spite <strong>of</strong> a decrease <strong>in</strong> the total<br />

number <strong>of</strong> seniors, Region 1-A was los<strong>in</strong>g at a rate eight times that <strong>of</strong> the previous<br />

decade (the State share fell by 0.4 percentage po<strong>in</strong>ts between 1979 and 1989, as<br />

compared to 3.3 percentage po<strong>in</strong>ts between 1989 and 1999). The overall result was a 2.4<br />

percentage po<strong>in</strong>t loss <strong>in</strong> State share for the county from 30.9 percent to 28.5 percent.<br />

<strong>Wayne</strong> <strong>County</strong> and Area Agencies’ Shares <strong>of</strong> State’s Elderly <strong>in</strong> Poverty, 1979 – 1999<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

1979 1989 1999<br />

<strong>Wayne</strong> <strong>County</strong><br />

1-A<br />

1-C<br />

Executive Summary to <strong>Senior</strong> Analysis<br />

xiv


In addition to the factors summarized above, the three reports also delved <strong>in</strong>to other<br />

variables that could be used to document need for service. Among these factors were<br />

liv<strong>in</strong>g arrangements, specifically seniors liv<strong>in</strong>g alone, disability status, with concentration<br />

on multiple disabilities, educational atta<strong>in</strong>ment and language spoken.<br />

The condition <strong>of</strong> liv<strong>in</strong>g alone <strong>of</strong>ten removes a senior from social networks and other<br />

service access. This is particularly true <strong>in</strong> poorer urban areas such as Detroit and selected<br />

<strong>Wayne</strong> <strong>County</strong> communities. On the whole, the liv<strong>in</strong>g arrangements <strong>of</strong> <strong>Wayne</strong> <strong>County</strong><br />

seniors closely mirrored those <strong>of</strong> the State. In terms <strong>of</strong> all seniors 60 years and over, a<br />

slightly higher share <strong>of</strong> the county’s seniors lived alone and represented almost 22<br />

percent <strong>of</strong> the State’s total (slightly higher than its share <strong>of</strong> the population 60 and over).<br />

Liv<strong>in</strong>g arrangements for the subset <strong>of</strong> 65 years and over showed the county’s seniors<br />

mirror<strong>in</strong>g those across the state, but also showed a divergence with<strong>in</strong> the county. By the<br />

age <strong>of</strong> 75 years and over, the county’s rate <strong>of</strong> liv<strong>in</strong>g alone drops below that <strong>of</strong> the State.<br />

The split with<strong>in</strong> the county widens as PSA 1-A’s seniors live alone at a rate well below<br />

that <strong>of</strong> the State, while PSA 1-C’s seniors’ rate essentially mirrors that <strong>of</strong> the State.<br />

Liv<strong>in</strong>g Arrangements <strong>of</strong> <strong>Senior</strong>s by Age, 2000<br />

60 Years and over 65 Years and over 75 Years and over<br />

Percent <strong>of</strong> State Liv<strong>in</strong>g Percent <strong>of</strong> State Liv<strong>in</strong>g Percent <strong>of</strong><br />

Total Share alone Total Share alone Total<br />

Liv<strong>in</strong>g<br />

alone<br />

State<br />

Share<br />

<strong>Michigan</strong> 417,430 38.0 355,414 41.2 211,517 48.8<br />

<strong>Wayne</strong> <strong>County</strong> 91,022 39.2 21.8 76,792 41.5 21.6 43,888 46.7 20.7<br />

1-A 43,714 39.2 10.5 35,891 40.6 10.1 19,330 44.0 9.1<br />

1-C 47,308 39.2 11.3 40,901 42.2 11.5 24,558 49.0 11.6<br />

An analysis <strong>of</strong> the responses to the Census Bureau’s questions on disability, showed that<br />

<strong>Wayne</strong> <strong>County</strong> seniors – particularly those <strong>in</strong> PSA 1-A – reported a much higher rate <strong>of</strong><br />

disability than the statewide average. While the rate <strong>of</strong> report<strong>in</strong>g one disability was<br />

similar across areas, it is important to consider the higher rate <strong>of</strong> <strong>Wayne</strong> <strong>County</strong> seniors<br />

report<strong>in</strong>g a disability that prevents them from go<strong>in</strong>g outside their home. More than 1 <strong>of</strong><br />

every 3 seniors <strong>in</strong> PSA 1-A reported this problem. This becomes even more critical when<br />

disabled seniors live alone.<br />

Executive Summary to <strong>Senior</strong> Analysis<br />

xv


Percentage <strong>of</strong> <strong>Senior</strong>s (65+) Report<strong>in</strong>g Disability, by Type, 2000<br />

No<br />

Disability*<br />

Persons Report<strong>in</strong>g One Disability<br />

by Type<br />

Total*<br />

Physical**<br />

Gooutsidehome**<br />

Persons Report<strong>in</strong>g More Than One<br />

Disability<br />

Total* Includes<br />

Selfcare**<br />

Does not<br />

<strong>in</strong>clude Selfcare**<br />

<strong>Michigan</strong> 57.7 20.6 49.0 25.2 21.7 42.6 57.4<br />

<strong>Wayne</strong> <strong>County</strong> 53.1 21.8 48.3 30.9 25.1 45.6 54.4<br />

1-A 47.8 22.6 48.4 34.1 29.6 48.6 51.4<br />

1-C 57.6 21.0 48.1 27.9 21.3 42.2 57.8<br />

* Percent <strong>of</strong> all <strong>Senior</strong>s (65+) with<strong>in</strong> the designated geographic area.<br />

** Percent <strong>of</strong> <strong>Senior</strong>s (65+) with<strong>in</strong> specific disability category (one disability; more than one disability)<br />

Even more significant is the large share <strong>of</strong> <strong>Wayne</strong> <strong>County</strong> seniors (particularly <strong>in</strong> PSA 1-<br />

A aga<strong>in</strong>) who reported more than one disability, and for whom a self-care disability was<br />

<strong>in</strong>cluded as one <strong>of</strong> those disabilities 3 . These results clearly po<strong>in</strong>t out a significant need for<br />

<strong>in</strong>-home services for a large segment <strong>of</strong> the elderly population who cannot be expected to<br />

travel to a “central” location.<br />

These results clearly show the contrasts fac<strong>in</strong>g the agencies serv<strong>in</strong>g seniors <strong>in</strong> <strong>Wayne</strong><br />

<strong>County</strong>. While the population <strong>in</strong> PSA 1-A becomes older and needier, based on<br />

disability, poverty and other characteristics, numerical losses signal decreased fund<strong>in</strong>g. It<br />

is important that services be targeted to the areas <strong>of</strong> most need. The PSA 1-A report<br />

documents such need by divid<strong>in</strong>g the region <strong>in</strong>to 12 Sectors – 10 <strong>in</strong> the City <strong>of</strong> Detroit,<br />

one cover<strong>in</strong>g Highland Park and Hamtramck and one cover<strong>in</strong>g the five Grosse Po<strong>in</strong>tes<br />

and Harper Woods. The results clearly show the rank<strong>in</strong>g <strong>of</strong> need, as the downtown<br />

corridor (Sector 4) and Highland Park/Hamtramck (Sector 11) lead <strong>in</strong> poverty, liv<strong>in</strong>g<br />

alone and multiple disabilities. The analysis <strong>of</strong> PSA 1-C provides a roadmap for<br />

target<strong>in</strong>g resources by analyz<strong>in</strong>g the <strong>in</strong>dividual communities <strong>in</strong> the region. Such an<br />

analysis shows that the communities with the highest shares <strong>of</strong> m<strong>in</strong>ority population –<br />

Inkster, Ecorse, River Rouge, etc. – also tend to have the higher rates <strong>of</strong> need, based on<br />

the same variables <strong>of</strong> poverty, liv<strong>in</strong>g alone and multiple disabilities.<br />

The issue <strong>of</strong> provid<strong>in</strong>g comprehensive services to a smaller, but older and needier, senior<br />

population <strong>in</strong> light <strong>of</strong> dim<strong>in</strong>ish<strong>in</strong>g resources is one that all <strong>of</strong> <strong>Wayne</strong> <strong>County</strong> must tackle.<br />

Innovative solutions will require both PSA 1-A and PSA 1-C work<strong>in</strong>g together to analyze<br />

need and develop <strong>in</strong>novative solutions. These reports are designed to provide some <strong>of</strong><br />

the basel<strong>in</strong>e data necessary to beg<strong>in</strong> the dialogue.<br />

3 The Census Bureau only documented self-care disability as a component <strong>of</strong> a multiple disability response.<br />

While totals for the other disabilities are reported <strong>in</strong> general, they are not differentiated as be<strong>in</strong>g reported<br />

s<strong>in</strong>gularly or as part <strong>of</strong> a multiple response.<br />

Executive Summary to <strong>Senior</strong> Analysis<br />

xvi


<strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> <strong>Wayne</strong> <strong>County</strong><br />

Implications for Fund<strong>in</strong>g and Service Delivery<br />

Section 1<br />

<strong>Wayne</strong> <strong>County</strong> Summary<br />

Prepared for:<br />

The Detroit Area Agency on Ag<strong>in</strong>g<br />

Prepared by:<br />

<strong>Wayne</strong> State University Center for Urban Studies<br />

<strong>Michigan</strong> Metropolitan Information Center<br />

Funded by the U.S. Adm<strong>in</strong>istration on Ag<strong>in</strong>g through the<br />

<strong>County</strong> <strong>of</strong> <strong>Wayne</strong> Office <strong>of</strong> <strong>Senior</strong> Citizens Services<br />

June, 2004


Index to <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> <strong>Wayne</strong> <strong>County</strong> Report<br />

Tables & Figures<br />

State Comparison Data – Executive Summary<br />

<strong>Wayne</strong> <strong>County</strong> and Area Agencies’ Shares <strong>of</strong> State’s 60+ Population, 1970 – 2000<br />

<strong>Wayne</strong> <strong>County</strong> and Area Agencies’ Share <strong>of</strong> State’s M<strong>in</strong>ority <strong>Senior</strong>s, 1990 – 2000<br />

<strong>Wayne</strong> <strong>County</strong> and Area Agencies’ Share <strong>of</strong> State’s Elderly <strong>in</strong> Poverty, 1979 – 1999<br />

<strong>Wayne</strong> <strong>County</strong> Data<br />

Table 1. Share <strong>of</strong> State’s 60+ Population, 1970 – 2000<br />

Table 2. Trends <strong>in</strong> Total and Elderly Population <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 1970 – 2000<br />

Table 3. Trends <strong>in</strong> Selected Age Categories <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 1990 – 2000<br />

Table 4. Share <strong>of</strong> State’s M<strong>in</strong>ority Population 60+Years. 1990 – 2000<br />

Table 5. Racial Distribution <strong>of</strong> <strong>Wayne</strong> <strong>County</strong>’s Total and 60+ Population, 2000<br />

Table 6. <strong>Senior</strong>s <strong>of</strong> Arab Ancestry <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Table 7. <strong>Senior</strong>s <strong>of</strong> Arab Ancestry, by Subgroup, <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Table 8. <strong>Senior</strong>s <strong>of</strong> Chaldean Ancestry <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Table 9. Share <strong>of</strong> State’s 60+ Population At or Below 100% <strong>of</strong> Poverty,<br />

1979 – 1999<br />

Table 10. Share <strong>of</strong> State’s 60 + Population Below 150% <strong>of</strong> Poverty, 1999<br />

Table 11. Share <strong>of</strong> <strong>Wayne</strong> <strong>County</strong>’s Elderly (65+) <strong>in</strong> Poverty and Below 150% <strong>of</strong><br />

Poverty by Region and Community, 1999<br />

Table 12. Share <strong>of</strong> Persons 60Years and Over Liv<strong>in</strong>g Alone, 2000<br />

Table 13. Liv<strong>in</strong>g Arrangements by Detailed Age Group <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Table 14. Group Quarter Population, 65 Years and Over, <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Table 15. Disability Status <strong>of</strong> Population 65+ <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Table 16. Detailed Disability <strong>of</strong> the Population 65+ <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Table 17. Educational Atta<strong>in</strong>ment <strong>of</strong> the Population 65+ <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Table 18. Language Spoken by the Population 65+ <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000


A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> <strong>Wayne</strong> <strong>County</strong><br />

Implications for Fund<strong>in</strong>g and Service Delivery<br />

Key F<strong>in</strong>d<strong>in</strong>gs<br />

Population shifts with<strong>in</strong> the State <strong>of</strong> <strong>Michigan</strong> <strong>in</strong> general, and with<strong>in</strong> the <strong>in</strong>ner core <strong>of</strong> the<br />

Detroit metropolitan area specifically, have resulted <strong>in</strong> a steady decl<strong>in</strong>e <strong>in</strong> <strong>Wayne</strong><br />

<strong>County</strong>’s share <strong>of</strong> state seniors over the last 30 years, from 33 to 20 percent. This decl<strong>in</strong>e<br />

has not been experienced evenly throughout the county. The large population losses <strong>in</strong><br />

Detroit over the period led to a decrease <strong>of</strong> 15.6 percentage po<strong>in</strong>ts <strong>in</strong> share for PSA 1-A<br />

from 24.9 to 9.3 percent, while movement to the suburbs led to a slight <strong>in</strong>crease <strong>of</strong> 2.5<br />

percentage po<strong>in</strong>ts <strong>in</strong> PSA 1-C’s share from 8.2 to 10.7. In spite <strong>of</strong> the overall 30-year<br />

ga<strong>in</strong>, PSA 1-C experienced its first loss <strong>in</strong> share dur<strong>in</strong>g the 1990s.<br />

<strong>Wayne</strong> <strong>County</strong> and Area Agencies’ Shares <strong>of</strong> State’s 60+ Population, 1970 - 2000<br />

35<br />

30<br />

25<br />

<strong>Wayne</strong> <strong>County</strong><br />

1-A<br />

1-C<br />

20<br />

15<br />

10<br />

5<br />

0<br />

1970 1980 1990 2000<br />

<strong>Wayne</strong> <strong>County</strong> also experienced a 7.7 percentage po<strong>in</strong>t drop <strong>in</strong> its share <strong>of</strong> the State’s<br />

m<strong>in</strong>ority elderly over the decade <strong>of</strong> the 1990s, from 68.1 to 60.4 percent. Once aga<strong>in</strong> the<br />

driv<strong>in</strong>g force was population loss <strong>in</strong> Detroit which, coupled with <strong>in</strong>creas<strong>in</strong>g numbers <strong>of</strong><br />

m<strong>in</strong>ority elderly <strong>in</strong> the Detroit suburbs, led to a decrease <strong>of</strong> 8.4 percentage po<strong>in</strong>ts <strong>in</strong> PSA<br />

1-A’s share from 62.9 to 54.5 percent, and an <strong>in</strong>crease <strong>of</strong> 0.7 percentage po<strong>in</strong>ts <strong>in</strong> PSA 1-<br />

C’s share from 5.2 to 5.9 percent.<br />

<strong>Wayne</strong> <strong>County</strong> and Area Agencies’ Shares <strong>of</strong> State’s M<strong>in</strong>ority <strong>Senior</strong>s, 1990 and 2000<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

1990 2000<br />

<strong>Wayne</strong> <strong>County</strong><br />

1-A<br />

1-C<br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 1


<strong>Wayne</strong> <strong>County</strong>’s share <strong>of</strong> the State’s elderly <strong>in</strong> poverty grew slightly between 1979 and<br />

1989, as the <strong>in</strong>crease <strong>in</strong> Region 1-C’s share, due to <strong>in</strong>creased population, outdistanced the<br />

decrease experienced <strong>in</strong> Region 1-A. This trend reversed itself between 1989 and 1999.<br />

While Region 1-C was <strong>in</strong>creas<strong>in</strong>g its overall share, <strong>in</strong> spite <strong>of</strong> a decrease <strong>in</strong> the total<br />

number <strong>of</strong> seniors, Region 1-A was los<strong>in</strong>g at a rate eight times that <strong>of</strong> the previous<br />

decade (the State share fell by 0.4 percentage po<strong>in</strong>ts between 1979 and 1989, as<br />

compared to 3.3 percentage po<strong>in</strong>ts between 1989 and 1999). . The overall result was a<br />

loss <strong>of</strong> 2.4 percentage po<strong>in</strong>ts <strong>in</strong> State share for the county from 30.9 percent to 28.5<br />

percent.<br />

<strong>Wayne</strong> <strong>County</strong> and Area Agencies’ Shares <strong>of</strong> State’s Elderly <strong>in</strong> Poverty, 1979 – 1999<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

1979 1989 1999<br />

<strong>Wayne</strong> <strong>County</strong><br />

1-A<br />

1-C<br />

This report, coupled with separate reports for PSA 1-A and PSA 1-C, provides a great<br />

deal more detail on the demographic, socioeconomic and hous<strong>in</strong>g trends <strong>of</strong> seniors <strong>in</strong><br />

<strong>Wayne</strong> <strong>County</strong>. Many <strong>of</strong> the tables and maps also provide geographic detail –<br />

community-level <strong>in</strong> <strong>Wayne</strong> <strong>County</strong> and PSA 1-C, and community and subcommunity<br />

level for PSA 1-A.<br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 2


Total Population Trends<br />

Populations shifts with<strong>in</strong> the State <strong>of</strong> <strong>Michigan</strong> <strong>in</strong> general, and with<strong>in</strong> the <strong>in</strong>ner core <strong>of</strong><br />

the Detroit metropolitan area specifically, have resulted <strong>in</strong> a steady decl<strong>in</strong>e <strong>in</strong> <strong>Wayne</strong><br />

<strong>County</strong>’s share <strong>of</strong> state seniors over the last 30 years (Table 1). While the county<br />

conta<strong>in</strong>ed one <strong>of</strong> every three (33 percent) <strong>Michigan</strong> seniors <strong>in</strong> 1970, only one <strong>of</strong> five (20<br />

percent) resided there as <strong>of</strong> 2000. This pattern did not occur uniformly throughout the<br />

county however. While Detroit and its core communities <strong>of</strong> Highland Park and<br />

Hamtramck 1 experienced losses over the three decades, rapidly grow<strong>in</strong>g communities <strong>in</strong><br />

the suburbs <strong>of</strong> <strong>Wayne</strong> <strong>County</strong> (Livonia, Canton Township, etc.) led to <strong>in</strong>creases <strong>in</strong><br />

Region 1-C’s share <strong>in</strong> 1980 and 1990. The majority <strong>of</strong> available land was developed <strong>in</strong><br />

many <strong>of</strong> these rapidly grow<strong>in</strong>g areas by 1990. Less land for development resulted <strong>in</strong><br />

fewer new households and allowed the demographic trend <strong>of</strong> decreas<strong>in</strong>g household size<br />

to lead to decreased rates <strong>of</strong> growth or, <strong>in</strong> some cases, population loss. This trend,<br />

comb<strong>in</strong>ed with the cont<strong>in</strong>ued decrease <strong>in</strong> Region 1-A, resulted <strong>in</strong> a four-percentage po<strong>in</strong>t<br />

drop for the county.<br />

Table 1. Share <strong>of</strong> State’s 60+ Population, 1970 - 2000<br />

While general population trends <strong>in</strong> the state would predict such a shift, the 1990’s<br />

brought a variation <strong>in</strong> the region’s trend that is both disturb<strong>in</strong>g and, unfortunately, not<br />

fully understandable. The rate <strong>of</strong> loss for seniors trailed that <strong>of</strong> the general population<br />

dur<strong>in</strong>g the 1970s and 1980s. In fact, the number <strong>of</strong> seniors <strong>in</strong> <strong>Wayne</strong> <strong>County</strong> actually<br />

<strong>in</strong>creased dur<strong>in</strong>g the 1980s while the overall population was dropp<strong>in</strong>g by 10 percent. In<br />

the 1990s, however, a large variance occurred. While the rate <strong>of</strong> loss for the general<br />

population slowed to a quarter that <strong>of</strong> the 1980’s (2.4 vs. 9.7 percent), the 1.4 percent<br />

ga<strong>in</strong> <strong>in</strong> seniors that occurred dur<strong>in</strong>g the 1980s turned to an 11.4 percent loss dur<strong>in</strong>g the<br />

1990s, outdistanc<strong>in</strong>g general loss almost five-fold (Table 2).<br />

Table 2. Trends <strong>in</strong> Total and Elderly Population <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 1970 – 2000<br />

Year<br />

Region 1970 1980 1990 2000<br />

<strong>Wayne</strong> <strong>County</strong> 33.0 27.2 23.9 20.0<br />

1-A 24.9 17.2 12.7 9.3<br />

1-C 8.2 10.0 11.2 10.7<br />

Population Totals, by Decade<br />

Percent Change, Decade to Decade<br />

<strong>Michigan</strong> <strong>Wayne</strong> <strong>County</strong> <strong>Michigan</strong> <strong>Wayne</strong> <strong>County</strong><br />

Total 60+ Total 60+ Total 60+ Total 60+<br />

1970 8,875,083 1,089,225 2,666,751 359,954<br />

1980 9,262,078 1,305,636 2,337,891 355,224 4.4% 19.9% -12.3% -1.3%<br />

1990 9,295,297 1,510,397 2,111,687 360,304 0.4% 15.7% -9.7% 1.4%<br />

2000 9,938,444 1,596,162 2,061,162 319,085 6.9% 5.7% -2.4% -11.4%<br />

1 While Hamtramck’s population losses cont<strong>in</strong>ued through 1990, the large immigration wave <strong>of</strong> the 1990s<br />

led to a population turnaround and a resultant population <strong>in</strong>crease <strong>of</strong> 25 percent between 1990 and 2000.<br />

While Detroit experienced an <strong>in</strong>crease <strong>in</strong> its immigrant population, it was not enough to reverse the<br />

population losses that began dur<strong>in</strong>g the 1950s.<br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 3


Table 3 presents a summary, by age category, <strong>of</strong> <strong>Wayne</strong> <strong>County</strong>’s population 60+ <strong>in</strong> 1990<br />

and 2000. While the overall 60+ population experienced a loss <strong>of</strong> 41,219, or 11.4<br />

percent, the majority <strong>of</strong> this loss occurred <strong>in</strong> the 60-64 years and 65-74 years cohorts.<br />

There were 29 percent fewer 60-64 year olds and 27 percent fewer 65-74 year olds <strong>in</strong> the<br />

county <strong>in</strong> 2000 than a decade earlier. While losses were also experienced by the 75-84<br />

years and 85 years+ cohorts, these losses were considerably less – 16 and 10 percent,<br />

respectively. The 55-59 year cohort experienced a slight ga<strong>in</strong> over the decade, and its<br />

total <strong>of</strong> 90,785 is almost 23,000 higher than the 60-64 year cohort just ahead <strong>of</strong> it. Bar<strong>in</strong>g<br />

large losses due to death and/or migration, this group, coupled with the first wave <strong>of</strong><br />

“baby-boomers” that follow, will br<strong>in</strong>g overall growth <strong>in</strong> the county’s 60+ population <strong>in</strong><br />

the decade to come.<br />

Table 3. Trends <strong>in</strong> Selected Age Categories <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 1990 – 2000<br />

Age Group<br />

<strong>Wayne</strong> <strong>County</strong> Totals 1990-2000 Change<br />

1990 2000 Number Percent<br />

45-54 years 201,658 269,333 67,675 33.6<br />

55-59 years 88,403 90,785 2,382 2.7<br />

60 years+ 360,304 319,085 -41,219 -11.4<br />

60-64 years 95,802 67,896 -27,906 -29.1<br />

65 years+ 264,502 235,573 -28,929 -10.9<br />

65-74 years 160,699 116,629 -44,070 -27.4<br />

75-84 years 79,101 91,726 12,625 16.0<br />

85 years+ 24,702 27,218 2,516 10.2<br />

M<strong>in</strong>ority Population Trends<br />

Decreases <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>’s share <strong>of</strong> the state’s m<strong>in</strong>ority population, while much less,<br />

have also been the rule. Table 4 shows that the county lost almost 8 percentage po<strong>in</strong>ts <strong>in</strong><br />

share over the decade, attributable entirely to losses <strong>in</strong> Region 1-A 2 . While the elderly<br />

m<strong>in</strong>ority population <strong>in</strong> Detroit and Highland Park, primarily, was decreas<strong>in</strong>g, much <strong>of</strong><br />

this loss was mov<strong>in</strong>g to other communities <strong>in</strong> the tri-county area. Out-<strong>Wayne</strong> <strong>County</strong><br />

communities benefited from this shift and Region 1-C’s share <strong>of</strong> state m<strong>in</strong>ority elderly<br />

<strong>in</strong>creased. This <strong>in</strong>crease was not enough, however, to make up for 1-A’s large losses.<br />

Table 4. Share <strong>of</strong> State’s M<strong>in</strong>ority Population 60 Years+, 1990 - 2000<br />

Region 1990 2000<br />

<strong>Wayne</strong> <strong>County</strong> 68.1 60.4<br />

1-A 62.9 54.5<br />

1-C 5.2 5.9<br />

2 The 2000 Census allowed respondents for the first time to choose more than one race. The Office <strong>of</strong><br />

Services to the Ag<strong>in</strong>g tabulated m<strong>in</strong>ority population to <strong>in</strong>clude these multi-race respondents, <strong>in</strong> addition to<br />

the s<strong>in</strong>gle-race respondents who listed African-American, Native American, Asian, Native Hawaiian or<br />

other Pacific Islander, or Other Race.<br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 4


A further analysis <strong>of</strong> the county’s racial/ethnic makeup (see Table 5) details the<br />

composition <strong>of</strong> the county’s m<strong>in</strong>ority population. Just under 93 percent <strong>of</strong> <strong>Wayne</strong><br />

<strong>County</strong>’s m<strong>in</strong>ority elderly population is African-American. 3 Asians represented 2.5<br />

percent <strong>of</strong> the m<strong>in</strong>ority elderly, while Native Americans and Other (undef<strong>in</strong>ed) races<br />

accounted for less than 1 percent each. Multi-racial responses (primarily attributable to<br />

seniors <strong>of</strong> Arab descent) accounted for 3.2 percent. While not <strong>in</strong>cluded <strong>in</strong> the count <strong>of</strong><br />

m<strong>in</strong>orities, 5,379 elderly (1.7 percent) identified themselves as Lat<strong>in</strong>o/Hispanic.<br />

The racial/ethnic composition <strong>of</strong> the elderly differs from that <strong>of</strong> the general population.<br />

The racial/ethic composition <strong>of</strong> the elderly population tends to be more White, non-<br />

Hispanic – 62 vs. 50 percent, and trails <strong>in</strong> all m<strong>in</strong>ority categories. In spite <strong>of</strong> the large<br />

decrease <strong>in</strong> White, non-Hispanic elderly <strong>in</strong> Detroit (a trend not experienced out-county)<br />

over the last decade (just over 50 percent 4 ), the White share <strong>of</strong> Detroit’s elderly<br />

population (19 percent – 24,400 out <strong>of</strong> 128,400) was almost double its representation <strong>in</strong><br />

the total population (10.5 percent – 99,921 out <strong>of</strong> 951,270).<br />

Table 5. Racial Distribution <strong>of</strong> <strong>Wayne</strong> <strong>County</strong>’s Total and 60+ Populations, 2000<br />

Total Population 60+ Population % <strong>of</strong> <strong>County</strong><br />

Number Percent Number Percent M<strong>in</strong>ority<br />

Total Population 2,061,162 319,085<br />

M<strong>in</strong>ority Population 995,555 48.3 118,041 37.0 100.0<br />

African-American 868,992 42.2 109,175 34.2 92.5<br />

Native American 7,627 0.4 776 0.2 0.7<br />

Asian & PI 35,647 1.7 2,913 0.9 2.5<br />

Other Race 32,020 1.6 1,428 0.4 1.2<br />

Multi-Race 51,269 2.5 3,749 1.2 3.2<br />

Lat<strong>in</strong>o/Hispanic 77,207 3.7 5,379 1.7 4.6<br />

White, non-Hispanic 1,028,984 49.9 197,671 61.9<br />

While research shows that the sample ancestry question used <strong>in</strong> the 2000 Census results<br />

<strong>in</strong> underreport<strong>in</strong>g <strong>of</strong> specific ethnic groups, the results that it does provide help to “get a<br />

handle” on the size and geographic distribution <strong>of</strong> various ethnic groups. Table 6 shows<br />

that 3,718 <strong>of</strong> <strong>Wayne</strong> <strong>County</strong> residents who identified themselves as hav<strong>in</strong>g Arab ancestry<br />

were 60 years <strong>of</strong> age or older. This represented 37 percent <strong>of</strong> <strong>Michigan</strong>’s 60+ Arab<br />

population, a share considerably smaller than <strong>Wayne</strong> <strong>County</strong>’s 48.4 percent share <strong>of</strong> the<br />

total Arab population. While the vast majority resided <strong>in</strong> the cities <strong>of</strong> Dearborn and<br />

Dearborn Heights, <strong>in</strong>creas<strong>in</strong>g numbers were also found <strong>in</strong> Detroit and Hamtramck.<br />

While not considered a m<strong>in</strong>ority by the standards <strong>of</strong> the Office <strong>of</strong> Services to the Ag<strong>in</strong>g,<br />

3 Race identification <strong>in</strong> Table 5 is associated with s<strong>in</strong>gle race responses. In other words, the count <strong>of</strong><br />

African-Americans is based on the number <strong>of</strong> respondents who listed only African-American on their<br />

census questionnaire. If they listed African-American and another race they were counted as Multi-racial.<br />

4 Additional research, not <strong>in</strong>cluded <strong>in</strong> this document, revealed that 56,572 Detroit residents 60 years and<br />

over identified their race as White, non-Hispanic <strong>in</strong> 1990. By 2000, that number had dropped to 24,400.<br />

This represented a loss <strong>of</strong> 32,172 or 57 percent.<br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 5


Arab seniors represent a grow<strong>in</strong>g segment <strong>of</strong> the county’s (and tri-county’s) senior<br />

population – one with unique language and service needs.<br />

Table 6. <strong>Senior</strong>s <strong>of</strong> Arab Ancestry <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Region Total 60+ 65+ 75+ 85+<br />

<strong>Michigan</strong> 115,284 10,047 7,104 2,823 538<br />

<strong>Wayne</strong> <strong>County</strong> 55,809 3,718 2,527 970 159<br />

% <strong>of</strong> State 48.4 37.0 35.6 34.4 29.6<br />

1-A 12,277 1,010 758 298 52<br />

% <strong>of</strong> State 10.6 10.1 10.7 10.6 9.7<br />

1-C 39,699 2,370 1,496 525 92<br />

% <strong>of</strong> State 34.4 23.6 21.1 18.6 17.1<br />

As the Arab population <strong>of</strong> <strong>Wayne</strong> <strong>County</strong> is comprised <strong>of</strong> a number <strong>of</strong> subgroups, with<br />

differ<strong>in</strong>g cultures, immigration patterns, English language ability and community<br />

<strong>in</strong>volvement, Table 7 is designed to provide further detail on these subgroups. It is<br />

readily apparent that Lebanese represent the largest subgroup <strong>in</strong> the Arab community,<br />

Table 7. <strong>Senior</strong>s <strong>of</strong> Arab Ancestry, by Subgroup, <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Total 60+ 65+ 75+ 85+<br />

Arab/Arabic<br />

<strong>Wayne</strong> <strong>County</strong> 13,144 701 458 135 23<br />

1-A 4,899 247 180 51 16<br />

1-C 6,562 373 217 58 7<br />

Egyptian<br />

<strong>Wayne</strong> <strong>County</strong> 663 56 27 8 8<br />

1-A na na na na na<br />

1-C na na na na na<br />

Iraqi<br />

<strong>Wayne</strong> <strong>County</strong> 3,301 87 49 13 0<br />

1-A 966 47 27 13 0<br />

1-C 2,042 22 11 0 0<br />

Jordanian<br />

<strong>Wayne</strong> <strong>County</strong> 1,117 76 51 15 0<br />

1-A na na na na na<br />

1-C 501 3 3 0 0<br />

Lebanese<br />

<strong>Wayne</strong> <strong>County</strong> 28,598 2,065 1,450 637 97<br />

1-A 2,809 300 241 100 10<br />

1-C 22,377 1,411 907 345 72<br />

Palest<strong>in</strong>ian<br />

<strong>Wayne</strong> <strong>County</strong> 2,248 147 104 52 7<br />

1-A na na na na na<br />

1-C 1,278 65 40 15 0<br />

Syrian<br />

<strong>Wayne</strong> <strong>County</strong> 2,039 328 271 79 11<br />

1-A na na na na na<br />

1-C 567 25 15 0 0<br />

na – The Census Bureau employs numerical thresholds that must be reached before<br />

disclos<strong>in</strong>g characteristics. The “na” designation identifies groups for which the<br />

threshold was not reached, and the data, therefore, not available.<br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 6


account<strong>in</strong>g for just over half the total <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>. While the numbers <strong>of</strong> Arabs, <strong>in</strong><br />

subgroups, for Region 1-A are usually too small to be detailed, the largest numbers come<br />

<strong>in</strong> for persons choos<strong>in</strong>g the general term <strong>of</strong> Arab/Arabic, followed by Lebanese.<br />

Another group, <strong>of</strong>ten confused with Arabs, is the Chaldean population. These are<br />

Christian Iraqis who identify separately from Muslim Iraqis and other Arabs. Though<br />

concentrated <strong>in</strong> Macomb and Oakland counties, they do have a presence <strong>in</strong> <strong>Wayne</strong><br />

<strong>County</strong> – primarily <strong>in</strong> the City <strong>of</strong> Detroit, <strong>in</strong> the 7 Mile area between Woodward Ave. and<br />

John R. Table 7, which provides some detail on their age structure <strong>in</strong> Region 1-A, shows<br />

a reversal <strong>of</strong> the pattern that was shown for Arabs, <strong>in</strong> that a higher share <strong>of</strong> the State’s<br />

Chaldeans 60+ reside <strong>in</strong> <strong>Wayne</strong> <strong>County</strong> than for the overall Chaldean population. Due to<br />

their small numbers and confidentiality measures imposed by the Census Bureau, no<br />

<strong>in</strong>formation exists on Chaldeans liv<strong>in</strong>g <strong>in</strong> <strong>Wayne</strong> <strong>County</strong> outside the City <strong>of</strong> Detroit. As<br />

a result, one cannot subtract the PSA 1-A total from the <strong>Wayne</strong> <strong>County</strong> total to determ<strong>in</strong>e<br />

representation <strong>in</strong> PSA 1-C.<br />

Table 8. <strong>Senior</strong>s <strong>of</strong> Chaldean Ancestry <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Region Total 60+ 65+ 75+ 85+<br />

<strong>Michigan</strong> 34,408 3,269 2,256 684 166<br />

<strong>Wayne</strong> <strong>County</strong> 2,623 352 246 71 28<br />

% <strong>of</strong> State 7.6 10.8 10.9 10.4 16.9<br />

1-A 1,957 276 208 65 22<br />

1-C na na na na na<br />

Poverty Trends<br />

<strong>Wayne</strong> <strong>County</strong>’s share <strong>of</strong> the State’s elderly <strong>in</strong> poverty grew slightly between 1979 and<br />

1989, as the <strong>in</strong>crease <strong>in</strong> Region 1-C’s share, due to <strong>in</strong>creased population, outdistanced the<br />

decrease experienced <strong>in</strong> Region 1-A (Table 9). This trend reversed itself between 1989<br />

and 1999. While Region 1-C was <strong>in</strong>creas<strong>in</strong>g its overall share, <strong>in</strong> spite <strong>of</strong> a decrease <strong>in</strong> the<br />

total number <strong>of</strong> seniors, Region 1-A was los<strong>in</strong>g at a rate eight times that <strong>of</strong> the previous<br />

decade (the State share fell by 0.4 percentage po<strong>in</strong>ts between 1979 and 1989, as<br />

compared to 3.3 percentage po<strong>in</strong>ts between 1989 and 1999). . The overall result was a<br />

loss <strong>of</strong> 2.4 percentage po<strong>in</strong>ts <strong>in</strong> State share for the county from 30.9 percent to 28.5<br />

percent.<br />

Table 9. Share <strong>of</strong> State’s 60+ Population At or Below 100% <strong>of</strong> Poverty, 1979 – 1999 5<br />

Region 1979 1989 1999<br />

<strong>Wayne</strong> <strong>County</strong> 30.5 30.9 28.5<br />

1-A 24.1 23.7 20.4<br />

1-C 6.4 7.2 8.1<br />

5 Due to the fact that the Census Bureau did not use 60 years <strong>of</strong> age as a cut po<strong>in</strong>t for poverty calculations,<br />

the author produced estimates, the methodology <strong>of</strong> which is <strong>in</strong>cluded <strong>in</strong> regional reports.<br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 7


While the <strong>Michigan</strong> Office <strong>of</strong> Services to the Ag<strong>in</strong>g utilizes, as their poverty component,<br />

persons 60 years and over below 150% <strong>of</strong> poverty, the standard tabulations for the 2000<br />

Census, unlike previous censuses, did not provide for such a tabulation. Rather, the data<br />

tables as produced only allowed calculations to be made for persons 55 years and over or<br />

65 years and over. <strong>Michigan</strong> was forced to request, and pay for, a special tabulation. 6<br />

The results <strong>of</strong> this tabulation are shown <strong>in</strong> Table 10.<br />

Table 10. Share <strong>of</strong> State’s 60+ Population Below 150% <strong>of</strong> Poverty, 1999<br />

Region<br />

Special Tabulation<br />

Total ST Share<br />

<strong>Wayne</strong> <strong>County</strong> 64,852 24.5<br />

1-A 42,530 16.1<br />

1-C 22,322 8.4<br />

This calculation resulted <strong>in</strong> an <strong>in</strong>crease <strong>in</strong> Region 1-C’s share <strong>of</strong> the State, relative to the<br />

previous calculation <strong>of</strong> “less than poverty” (8.4 vs. 8.1 percent), and a large decrease <strong>of</strong><br />

4.3 percentage po<strong>in</strong>ts <strong>in</strong> Region 1-A’s share, from 20.4 to 16.1 percent. The result was a<br />

four-percentage po<strong>in</strong>t decrease, from 28.5 to 24.5 percent, <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>’s share <strong>of</strong><br />

the State.<br />

One more assessment <strong>of</strong> poverty and the elderly is to look at how the number <strong>of</strong> persons<br />

65 years and over, both <strong>in</strong> poverty and at less than 150% <strong>of</strong> poverty, distribute across the<br />

county. Such an analysis provides a picture <strong>of</strong> need and whether that need is distributed<br />

evenly across the county or concentrated <strong>in</strong> several areas. Table 11 provides an overall<br />

summary <strong>of</strong> this distribution.<br />

The first po<strong>in</strong>t to be made is that Region 1-A accounts for 71 percent <strong>of</strong> the poor elderly<br />

(65+ below poverty) and a slightly lower 65 percent <strong>of</strong> those below 150% <strong>of</strong> poverty.<br />

This drop <strong>in</strong> share as one <strong>in</strong>creases the <strong>in</strong>come threshold <strong>in</strong>dicates that Region 1-A’s<br />

elderly tend to be more economically deficient than those <strong>in</strong> Region 1-C. Detroit, as<br />

would be predicted, leads all other communities <strong>in</strong> the county and accounts for 65 percent<br />

<strong>of</strong> the poor elderly <strong>of</strong> the county (60 percent at the 150% threshold). Region 1-C<br />

provides the next four communities <strong>in</strong> numbers <strong>of</strong> persons below 150%, though their<br />

comb<strong>in</strong>ed share <strong>of</strong> the total – 14 percent – is less than one quarter that <strong>of</strong> Detroit. Elderly<br />

poverty is shown to be more geographically concentrated than the general population 65<br />

years and over, as the top 6 cities (Detroit through Highland Park), while conta<strong>in</strong><strong>in</strong>g 62.5<br />

percent <strong>of</strong> the county’s elderly, house 80 percent <strong>of</strong> the poor and 76 percent <strong>of</strong> those<br />

below 150 percent <strong>of</strong> poverty.<br />

6 The special tabulation only provided counts <strong>of</strong> total persons 60+ at or below 150% <strong>of</strong> poverty by region.<br />

While such counts allow us to calculate each region’s share <strong>of</strong> the State total, as well as the share for<br />

<strong>Wayne</strong> <strong>County</strong> by summ<strong>in</strong>g Regions 1-A and 1-C, there is not enough <strong>in</strong>formation provided to allow for<br />

the calculation <strong>of</strong> a rate with<strong>in</strong> a particular region – such as the percent <strong>of</strong> persons 60+ <strong>in</strong> Region 1-A that<br />

fall below 150% <strong>of</strong> poverty.<br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 8


Table 11. Share <strong>of</strong> <strong>Wayne</strong> <strong>County</strong>’s Elderly (65+) <strong>in</strong> Poverty and Below 150% <strong>of</strong> Poverty by Region<br />

and Community, 1999*<br />

Region/Community<br />

Total In Poverty Share <strong>of</strong><br />

<strong>Wayne</strong><br />

Below<br />

150%<br />

Share <strong>of</strong><br />

<strong>Wayne</strong><br />

<strong>Wayne</strong> <strong>County</strong> 240,778 27,267 51,079<br />

1-A 110,917 19,299 70.8 33,004 64.6<br />

1-C 129,861 7,968 29.2 18,075 35.4<br />

Detroit city 95,695 17,762 65.1 30,423 59.6<br />

Dearborn city 15,134 1,150 4.2 2,579 5.0<br />

Livonia city 16,018 835 3.1 1,793 3.5<br />

Westland city 10,884 752 2.8 1,671 3.3<br />

Dearborn Heights city 10,550 501 1.8 1,105 2.2<br />

Highland Park city 2,279 701 2.6 1,046 2.0<br />

Taylor city 6,823 442 1.6 970 1.9<br />

Redford township 7,602 396 1.5 935 1.8<br />

Southgate city 4,846 410 1.5 904 1.8<br />

Hamtramck city 2,606 471 1.7 828 1.6<br />

Inkster city 3,142 422 1.5 783 1.5<br />

L<strong>in</strong>coln Park city 5,590 262 1.0 729 1.4<br />

Wyandotte city 4,408 175 0.6 638 1.2<br />

Garden City city 4,068 266 1.0 586 1.1<br />

Allen Park city 5,901 265 1.0 574 1.1<br />

* Table <strong>in</strong>cludes those communities with at least 500 elderly below 150% <strong>of</strong> poverty.<br />

Liv<strong>in</strong>g Arrangements<br />

One f<strong>in</strong>al variable was assessed that has a significant impact on the daily lives <strong>of</strong> the<br />

elderly. That variable deals with the liv<strong>in</strong>g arrangements <strong>of</strong> the elderly – specifically the<br />

share that live alone. Such a liv<strong>in</strong>g arrangement <strong>of</strong>ten leads to lonel<strong>in</strong>ess and a lack <strong>of</strong><br />

<strong>in</strong>teraction with others. If recreational and health-related services are not located <strong>in</strong> the<br />

neighborhood, and one has no vehicle available, or one that is unreliable, or if one has<br />

difficulty perform<strong>in</strong>g activities <strong>of</strong> daily liv<strong>in</strong>g, it requires strong connections with others<br />

to be able to ma<strong>in</strong>ta<strong>in</strong> a quality <strong>of</strong> life.<br />

Table 12. Share <strong>of</strong> Persons 60 Years and Over Liv<strong>in</strong>g Alone, 2000<br />

Region<br />

Total<br />

Households<br />

With 1 or<br />

more persons<br />

60+<br />

Percent <strong>of</strong><br />

Total<br />

Households<br />

60+ Liv<strong>in</strong>g<br />

alone<br />

Percent <strong>of</strong><br />

60+<br />

State<br />

Share<br />

State <strong>of</strong> <strong>Michigan</strong> 3,785,661 1,099,509 29.0 417,430 38.0<br />

<strong>Wayne</strong> <strong>County</strong> 768,440 232,192 30.2 91,022 39.2 21.8<br />

1-A 375,509 111,602 29.7 43,714 39.2 10.5<br />

1-C 392,931 120,590 30.7 47,308 39.2 11.3<br />

The analysis <strong>of</strong> liv<strong>in</strong>g arrangements across the State showed that the elderly tend to live<br />

alone <strong>in</strong> similar degrees throughout the State. The share is slightly higher <strong>in</strong> <strong>Wayne</strong><br />

<strong>County</strong> (39.2 vs. 38.0 percent) lead<strong>in</strong>g to a State share <strong>of</strong> 21.8 percent (last column), as<br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 9


compared to its 20 percent share <strong>of</strong> total population 60 and over (Table 12). As can be<br />

seen <strong>in</strong> the table, there is virtually no difference between Regions 1-A and 1-C.<br />

Table 13 takes this analysis a little further by look<strong>in</strong>g at the liv<strong>in</strong>g arrangements <strong>of</strong><br />

subgroups <strong>of</strong> the elderly. Here we see a slight divergence between the regions as age<br />

<strong>in</strong>creases. While 39.2 percent <strong>of</strong> the population 60+ lives alone <strong>in</strong> both regions, the share<br />

<strong>in</strong>creases more rapidly with age <strong>in</strong> Region 1-C than <strong>in</strong> Region 1-A. While we have no<br />

firm reasons for this occurrence, we can assume that the factors <strong>of</strong> a healthier, less<br />

economically distressed population and more elderly hous<strong>in</strong>g <strong>in</strong> the suburbs may play<br />

major roles <strong>in</strong> this effect.<br />

Table 13. Liv<strong>in</strong>g Arrangements by Detailed Age Group <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Region<br />

60+ Liv<strong>in</strong>g<br />

alone<br />

Percent <strong>of</strong><br />

60+<br />

65+ Liv<strong>in</strong>g<br />

alone<br />

Percent <strong>of</strong><br />

65+<br />

75+ Liv<strong>in</strong>g<br />

alone<br />

Percent <strong>of</strong><br />

75+<br />

<strong>Wayne</strong> <strong>County</strong> 91,022 39.2 76,792 41.5 43,888 46.7<br />

1-A 43,714 39.2 35,891 40.6 19,330 44.0<br />

1-C 47,308 39.2 40,901 42.2 24,558 49.0<br />

People who do not reside <strong>in</strong> households live <strong>in</strong> group quarters. The most frequent form <strong>of</strong><br />

group quarter’s arrangement for seniors is that <strong>of</strong> nurs<strong>in</strong>g homes. <strong>Wayne</strong> <strong>County</strong> had a<br />

total <strong>of</strong> 10,738 seniors (65+) liv<strong>in</strong>g <strong>in</strong> group quarters <strong>in</strong> 2000. Just over half (51 percent)<br />

resided <strong>in</strong> Region 1-C. Nurs<strong>in</strong>g homes accounted for 81 percent <strong>of</strong> group quarters<br />

residents. The City <strong>of</strong> Detroit accounted for 89 percent <strong>of</strong> group quarters residents <strong>in</strong><br />

Region 1-A, and 44 percent <strong>of</strong> the county total. The second highest number <strong>of</strong> group<br />

quarters residents lived <strong>in</strong> Livonia.<br />

Table 14. Group Quarters Population, 65 Years and Over, <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Region<br />

Total Institutional Nurs<strong>in</strong>g<br />

Homes<br />

Non-<br />

Institutional<br />

<strong>Wayne</strong> <strong>County</strong> 10,738 9,057 8,723 1,681<br />

1-A 5,256 4,359 4,265 897<br />

1-C 5,482 4,698 4,458 784<br />

Detroit city 4,696 3,822 3,733 874<br />

Dearborn Heights city 425 339 339 86<br />

Livonia city 1,448 1,041 952 407<br />

Riverview city 459 456 456 3<br />

Taylor city 482 451 409 31<br />

Westland city 615 612 560 3<br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 10


Disability Status<br />

The 2000 Census <strong>in</strong>cluded “disability questions” that were asked <strong>in</strong> the follow<strong>in</strong>g<br />

manner:<br />

16. Does this person have any <strong>of</strong> the follow<strong>in</strong>g long-last<strong>in</strong>g conditions:<br />

a. Bl<strong>in</strong>dness, deafness, or a severe vision or hear<strong>in</strong>g impairment?<br />

b. A condition that substantially limits one or more basic physical activities such as walk<strong>in</strong>g, climb<strong>in</strong>g<br />

stairs, reach<strong>in</strong>g, lift<strong>in</strong>g, or carry<strong>in</strong>g? Yes No<br />

17. Because <strong>of</strong> a physical, mental, or emotional condition last<strong>in</strong>g 6 months or more, does this person<br />

have any difficulty <strong>in</strong> do<strong>in</strong>g any <strong>of</strong> the follow<strong>in</strong>g activities:<br />

a. Learn<strong>in</strong>g, remember<strong>in</strong>g, or concentrat<strong>in</strong>g? Yes No<br />

b. Dress<strong>in</strong>g, bath<strong>in</strong>g, or gett<strong>in</strong>g around <strong>in</strong>side the home? Yes No<br />

c. (Answer if this person is 16 years old or over.) Go<strong>in</strong>g outside the home alone to shop or visit a doctor’s<br />

<strong>of</strong>fice? Yes No<br />

d. (Answer if this person is 16 years old or over.) Work<strong>in</strong>g at a job or bus<strong>in</strong>ess? Yes No<br />

Table 15 provides data on the total number <strong>of</strong> yes responses gathered from persons 65<br />

years <strong>of</strong> age and over <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>. Table 16 allows for the isolation <strong>of</strong> persons<br />

report<strong>in</strong>g s<strong>in</strong>gle and multiple disabilities.<br />

Table 15. Disability Status <strong>of</strong> the Population 65+ <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Region<br />

Total disabilities<br />

tallied<br />

Sensory Physical Mental Self-care<br />

Gooutsidehome<br />

<strong>Wayne</strong> <strong>County</strong> 227,518 14.6 34.2 12.7 12.4 26.1<br />

1-A 120,309 13.0 33.9 12.9 13.6 26.5<br />

1-C 107,209 16.4 34.5 12.3 11.0 25.7<br />

The “picture” <strong>of</strong> reported disabilities was quite similar between regions <strong>in</strong> <strong>Wayne</strong><br />

<strong>County</strong>. The only differences were that the elderly <strong>in</strong> Region 1-C reported hav<strong>in</strong>g<br />

sensory disabilities at a slightly higher rate, while Region 1-A residents reported self-care<br />

disabilities at a higher rate.<br />

Table 16. Detailed Disability Status <strong>of</strong> the Population 65+ <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

No<br />

Disability<br />

*<br />

Persons Report<strong>in</strong>g One Disability<br />

Total*<br />

Go-<br />

Physical** outside-<br />

home**<br />

Persons Report<strong>in</strong>g 2 or More Disabilities<br />

Total* Includes<br />

Selfcare**<br />

Does not <strong>in</strong>clude<br />

Self-care**<br />

<strong>Wayne</strong> <strong>County</strong> 53.1 21.8 48.3 30.9 25.1 45.6 54.4<br />

1-A 47.8 22.6 48.4 34.1 29.6 48.6 51.4<br />

1-C 57.6 21.0 48.1 27.9 21.3 42.2 57.8<br />

* Percent <strong>of</strong> all <strong>Senior</strong>s (65+) with<strong>in</strong> the designated geographic area.<br />

** Percent <strong>of</strong> <strong>Senior</strong>s (65+) with<strong>in</strong> specific disability category (one disability; two or more disabilities)<br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 11


The results detailed <strong>in</strong> Table 16 are consistent with the needier population previously<br />

identified <strong>in</strong> Region 1-A. The first po<strong>in</strong>t to make is that a higher percentage <strong>of</strong> Region 1-<br />

A’s seniors reported at least one disability – 58 vs. 48 percent. Of those report<strong>in</strong>g only<br />

one disability, Region 1-A’s seniors designated a limitation <strong>in</strong> go<strong>in</strong>g outside the home<br />

more frequently – 34 vs. 28 percent. F<strong>in</strong>ally, Region 1-A seniors were more likely to<br />

report 2 or more disabilities – 30 vs. 21, and with a self-care disability be<strong>in</strong>g <strong>in</strong>cluded as<br />

one <strong>of</strong> these – 49 vs. 42 percent.<br />

Education and Language<br />

The f<strong>in</strong>al two demographic tables look at persons 65 years and over <strong>in</strong> terms <strong>of</strong> their<br />

educational atta<strong>in</strong>ment and language usage. While educational atta<strong>in</strong>ment is an important<br />

<strong>in</strong>dicator <strong>of</strong> socioeconomic status and potential need, the relationship is not always clear<br />

due to the fact that many <strong>of</strong> the area’s elderly were able to come to the Detroit area<br />

dur<strong>in</strong>g the last century and get good jobs <strong>in</strong> the auto plants with m<strong>in</strong>imal education.<br />

Nevertheless, educational atta<strong>in</strong>ment is an important <strong>in</strong>dicator, and the lack <strong>of</strong> a high<br />

school diploma can signal potential illiteracy. Language spoken at home and the ability<br />

to speak English are quite important <strong>in</strong>dicators for service providers. There cont<strong>in</strong>ues to<br />

be a large segment <strong>of</strong> immigrants from the mid-1900s who never learned English well,<br />

who are be<strong>in</strong>g jo<strong>in</strong>ed by recent immigrants with little English capability. Providers <strong>of</strong><br />

ag<strong>in</strong>g services need to know where these people live and develop procedures to reach<br />

them <strong>in</strong> their language.<br />

Table 17 shows a significantly higher high school graduation rate for the elderly liv<strong>in</strong>g <strong>in</strong><br />

Region 1-C. It is known that the great migration <strong>of</strong> African Americans to Detroit <strong>in</strong> the<br />

mid-1900s brought a large pool <strong>of</strong> persons without high school diplomas. As <strong>of</strong> 2000, 54<br />

percent <strong>of</strong> Detroit’s African American population 65 years and over report hav<strong>in</strong>g no<br />

high school degree. Once a person has received a high school diploma, the share go<strong>in</strong>g on<br />

for some college or college degrees is similar for both regions.<br />

Table 17. Educational Atta<strong>in</strong>ment <strong>of</strong> the Population 65+ <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Region<br />

Percent High<br />

School Grad or<br />

higher<br />

Some College,<br />

no degree<br />

Percent College<br />

Grad or higher 1<br />

<strong>Wayne</strong> <strong>County</strong> 57.1 13.8 11.9<br />

1-A 50.0 13.4 11.7<br />

1-C 63.1 14.2 12.0<br />

1 - Associate degrees <strong>in</strong>cluded <strong>in</strong> tabulation<br />

The effect <strong>of</strong> the different racial/ethnic makeup <strong>of</strong> the two regions is most apparent <strong>in</strong><br />

language spoken at home and the ability to speak English. While Region 1-A has a large,<br />

and grow<strong>in</strong>g, Hispanic population, and a relatively similar share <strong>of</strong> English only speakers<br />

than Region 1-C, it is the higher number <strong>of</strong> recent Arab and other ethnic immigrants <strong>in</strong><br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 12


out-<strong>Wayne</strong> <strong>County</strong> – particularly Dearborn – that drives the significantly larger share <strong>of</strong><br />

persons who report not speak<strong>in</strong>g English well, or not at all.<br />

Table 18. Language Spoken by the Population 65+ <strong>in</strong> <strong>Wayne</strong> <strong>County</strong>, 2000<br />

Region<br />

Persons<br />

65 years<br />

and over<br />

Only<br />

English<br />

Percent<br />

<strong>of</strong> total<br />

Spanish<br />

Indo<br />

European<br />

Asian and<br />

Pacific<br />

Other<br />

Speak<br />

English<br />

not well,<br />

not at all<br />

<strong>Wayne</strong> <strong>County</strong> 249,881 222,751 89.1 4,021 18,112 968 4,029 13.3<br />

1-A 115,424 105,117 91.1 2,267 6,573 396 1,071 4.3<br />

1-C 134,457 117,634 87.5 1,754 11,539 572 2,958 18.8<br />

Conclusion<br />

A summary at the county level provides a broad view <strong>of</strong> the demographic, socioeconomic<br />

and hous<strong>in</strong>g trends <strong>of</strong> <strong>Wayne</strong> <strong>County</strong>’s elderly and how these trends compare with those<br />

across the State. This view makes clear that, while the <strong>County</strong>’s numerical share is<br />

decreas<strong>in</strong>g, the needs <strong>of</strong> its elderly are <strong>in</strong>creas<strong>in</strong>g. It is obvious that the <strong>in</strong>cidences <strong>of</strong><br />

poverty, disability and liv<strong>in</strong>g alone are greater <strong>in</strong> PSA 1-A than <strong>in</strong> PSA 1-C, and the<br />

detailed reports that follow will further del<strong>in</strong>eate the trends with<strong>in</strong> each region. Pockets<br />

<strong>of</strong> strong need exist <strong>in</strong> both regions, and it is only through a detailed geographic analysis<br />

<strong>of</strong> each that these pockets can be revealed. The follow<strong>in</strong>g reports take each region <strong>in</strong> turn<br />

and analyze the characteristics <strong>of</strong> the elderly by geographic sub area. The PSA 1-A<br />

analysis looks at communities, sectors and Detroit subcommunities. The PSA 1-C<br />

analysis utilizes the component communities – cities and townships.<br />

<strong>Demographic</strong> Summary for <strong>Wayne</strong> <strong>County</strong> 13


<strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> <strong>Wayne</strong> <strong>County</strong><br />

Implications for Fund<strong>in</strong>g and Service Delivery<br />

Section 2<br />

PSA 1-A Report<br />

Prepared for:<br />

The Detroit Area Agency on Ag<strong>in</strong>g<br />

Prepared by:<br />

<strong>Wayne</strong> State University Center for Urban Studies<br />

<strong>Michigan</strong> Metropolitan Information Center<br />

Funded by the U.S. Adm<strong>in</strong>istration on Ag<strong>in</strong>g through the<br />

<strong>County</strong> <strong>of</strong> <strong>Wayne</strong> Office <strong>of</strong> <strong>Senior</strong> Citizens Services<br />

June, 2004


Index to <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong><br />

Plann<strong>in</strong>g and Service Area 1-A Report<br />

Tables & Figures<br />

Table 1. Share <strong>of</strong> the State’s 60+ Population by Region<br />

Table 2. Trends <strong>in</strong> Total and Elderly Population <strong>in</strong> Region 1-A, 1970 - 2000<br />

Table 3. Trends <strong>in</strong> Selected Age Categories <strong>in</strong> Region 1-A, 1990 - 2000<br />

Table 4. Share <strong>of</strong> M<strong>in</strong>ority Population 60+ Years by Region, 1990 - 2000<br />

Table 5. Racial Distribution <strong>of</strong> Region 1-A’s Total and 60 + Years Populations,<br />

2000<br />

Table 6. Poverty Rate by Age Category, 1999<br />

Table 7. Trends <strong>in</strong> Poverty Rate <strong>of</strong> 60+ Population by Region, 1979 - 1999<br />

Table 8. Percent <strong>of</strong> the Population 65+ by Ratio to Poverty, by Region, 1999<br />

Table 9. Population 60+ Years At or Below 150% Poverty, by Region, 1999<br />

Table 10. Share <strong>of</strong> Persons 60 Years and Over Liv<strong>in</strong>g Alone by Region, 2000<br />

Table 11. Region 1-A’s 60+ Population by Community, 1970 - 2000<br />

Table 12. Region 1-A’s M<strong>in</strong>ority 60+ Population By Community, 2000<br />

Table 13. Ratio <strong>of</strong> Income to Poverty <strong>in</strong> Region 1-A by Community, 1999<br />

Table 14. Population 60+ Years At or Below 150% Poverty <strong>in</strong> Region 1-A by<br />

Community, 1999<br />

Table 15. Liv<strong>in</strong>g Arrangements <strong>of</strong> 60+ <strong>in</strong> Region 1-A by Community, 2000<br />

Table 16. Liv<strong>in</strong>g Arrangements by Detailed Age Group <strong>in</strong> Region 1-A, 2000<br />

Table 17. Group Quarters Population, 65 Years and Over, <strong>in</strong> Region 1-A, 2000<br />

Table 18. Population 60 Years and Over by Sector,* 1990 - 2000<br />

Table 19.<br />

Percent Change <strong>in</strong> Population 60 Years and Over, by Detailed Cohort, by<br />

Sector, 1990 - 2000<br />

Table 20. Change <strong>in</strong> Population 60 Years and Over, by Race, by Sector, 1990 - 2000<br />

Table 21. Population 60 Years and Over <strong>in</strong> Poverty by Sector, 1989 - 1999<br />

Table 22. Percent <strong>of</strong> the Population 60+ by Ratio to Poverty by Sector, 1999<br />

Table 23. Liv<strong>in</strong>g Arrangements <strong>of</strong> the Population 60+ by Sector, 2000<br />

Table 24. Population 65+ Liv<strong>in</strong>g <strong>in</strong> Group Quarters by Sector, 2000<br />

Table 25. Homeownership Rates by Age by Sector, 2000<br />

Table 26. Population 55+ by Tenure by Sector, 2000<br />

Table 27. Disability Status <strong>of</strong> the Population 65+ by Sector, 2000<br />

Table 28. Detailed Disability Status <strong>of</strong> the Population 65+ by Sector, 2000<br />

Table 29. Educational Atta<strong>in</strong>ment <strong>of</strong> the Population 65+ by Sector, 2000<br />

Table 30. Language Spoken by the Population 65+ by Sector, 2000


A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A:<br />

Implications for Fund<strong>in</strong>g and Service Delivery<br />

Key F<strong>in</strong>d<strong>in</strong>gs<br />

PSA 1-A conta<strong>in</strong>ed one <strong>of</strong> every four (24.9 percent) <strong>Michigan</strong> seniors <strong>in</strong> 1970, but less<br />

than one <strong>in</strong> ten (9.3 percent) resided there as <strong>of</strong> 2000. While general population trends <strong>in</strong><br />

the state would predict such a shift, the 1990’s brought a variation <strong>in</strong> the region’s trend<br />

that is both disturb<strong>in</strong>g and, unfortunately, not fully understandable. The rate <strong>of</strong> loss for<br />

seniors mirrored that <strong>of</strong> the general population dur<strong>in</strong>g the 1970s and 1980s. In the 1990s,<br />

however, a large variance occurred. While the rate <strong>of</strong> loss for the general population<br />

slowed to half that <strong>of</strong> the 1980’s (6.9 vs. 14.4 percent), the rate <strong>of</strong> loss for seniors<br />

accelerated (22.8 vs. 14.6 percent), outdistanc<strong>in</strong>g the general population loss by a factor<br />

<strong>of</strong> three.<br />

There are three potential reasons for such loss.<br />

1. A companion study, “Health Status <strong>of</strong> <strong>Senior</strong>s: Implications for Fund<strong>in</strong>g and<br />

Service Delivery,” describes the impact <strong>of</strong> excess deaths <strong>in</strong> PSA 1-A. This is<br />

certa<strong>in</strong>ly a major factor <strong>in</strong> the decl<strong>in</strong><strong>in</strong>g population <strong>of</strong> seniors <strong>in</strong> PSA 1-A, but<br />

does not fully expla<strong>in</strong> the change that occurred dur<strong>in</strong>g the 1990’s.<br />

2. A second factor, and one for which data have yet to be released from the 2000<br />

Census, is that <strong>of</strong> out-migration. While one anticipates a general movement <strong>of</strong><br />

seniors out-<strong>of</strong>-state, particularly to the South and West, it is also a fact that the<br />

growth <strong>in</strong> PSA 1-B, a region which encompasses the counties immediately north<br />

<strong>of</strong> the Detroit city limits, was driven, <strong>in</strong> part, by the movement <strong>of</strong> seniors out <strong>of</strong> 1-<br />

A. An analysis <strong>of</strong> the 2000 Census Public Use Microdata file estimates<br />

movement <strong>of</strong> almost 5,000 seniors from <strong>Wayne</strong> <strong>County</strong> <strong>in</strong>to Macomb <strong>County</strong><br />

between 1995 and 2000. While we are unable to determ<strong>in</strong>e whether all 5,000<br />

lived specifically <strong>in</strong> PSA 1-A <strong>in</strong> 1995, general migration patterns over the year<br />

would suggest that the vast majority did. An additional 5,500 are estimated to<br />

have moved to Oakland <strong>County</strong>, and almost 6,000 to other areas <strong>in</strong> southeast<br />

<strong>Michigan</strong> (more likely affect<strong>in</strong>g PSA 1-C as well).<br />

3. The f<strong>in</strong>al factor is one <strong>of</strong> cohort replacement. This entails look<strong>in</strong>g at population<br />

groups <strong>in</strong> 1990 that represent the seniors <strong>of</strong> 2000 and see<strong>in</strong>g the retention levels <strong>of</strong><br />

those groups. The table below views changes <strong>in</strong> the senior population <strong>in</strong> two<br />

ways.<br />

Numerical Change, 90-00 Percent Change, 90-00<br />

60-69 70-79 80+ 60-69 70-79 80+<br />

Total Age Forward -24,268 -40,265 -66,931 -27.6 -42.2 -69.6<br />

Total Comparison -31,728 -10,244 -1,646 -33.3 -15.7 -5.3<br />

White Age Forward -12,513 -18,904 -33,648 -47.3 -54.5 -76.8<br />

White Comparison -20,747 -13,167 -4,713 -59.8 -45.5 -31.6<br />

Black age Forward -13,185 -21,945 -33,199 -22.1 -37.1 -64.7<br />

Black Comparison -12,845 1,568 2,515 -21.7 4.4 16.1<br />

Other Age Forward 1,430 584 -84 77.7 41.5 -9.0<br />

Other Comparison 1,864 1,568 552 3.1 4.4 3.5<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 1


The comparison factor, the usual way <strong>of</strong> look<strong>in</strong>g at population change, simply<br />

looks at age cohorts at two po<strong>in</strong>ts <strong>in</strong> time. For example, we compare the number<br />

<strong>of</strong> seniors 60-69 years <strong>of</strong> age <strong>in</strong> 2000 to the number <strong>of</strong> 60-69 year olds <strong>in</strong> 1990.<br />

The age forward factor looks at an age cohort over time. For example, we<br />

compare the number <strong>of</strong> seniors 60-69 years <strong>of</strong> age <strong>in</strong> 2000 with the number <strong>of</strong> 50-<br />

59 year olds <strong>in</strong> 1990.<br />

The results <strong>of</strong> this analysis provide a better understand<strong>in</strong>g <strong>of</strong> some <strong>of</strong> the factors<br />

contribut<strong>in</strong>g to the population loss. The major po<strong>in</strong>ts that can be gleaned from this<br />

analysis are the follow<strong>in</strong>g:<br />

a. A smaller cohort mov<strong>in</strong>g up exacerbated losses <strong>in</strong> the total population 60-69.<br />

This is demonstrated by the fact that the age forward loss was almost 7,500<br />

fewer than the strict age cohort comparison. While this still signals a probable<br />

migration factor (<strong>in</strong> addition to excess death), the degree <strong>of</strong> migration is less<br />

than a straight comparison would convey. This fact was especially true for<br />

whites where the difference is more than 8,000, or 40 percent <strong>of</strong> the registered<br />

loss. The difference for African Americans was very small, but <strong>in</strong> the<br />

opposite direction. This would bolster the argument that African Americans<br />

are die<strong>in</strong>g before reach<strong>in</strong>g the age <strong>of</strong> 60.<br />

b. Once we move <strong>in</strong>to the cohorts over the age <strong>of</strong> 70 we f<strong>in</strong>d cohort survival (age<br />

forward) fall<strong>in</strong>g beh<strong>in</strong>d the cohort comparison. In other words, the ag<strong>in</strong>g <strong>of</strong><br />

the elderly has resulted <strong>in</strong> small losses, and some ga<strong>in</strong>s, <strong>in</strong> the 70-79 and 80+<br />

cohorts. However, when one takes 1990’s 60-69 year cohort and ages them<br />

forward both whites and African Americans show large losses. While outmigration<br />

still must be considered to be a factor <strong>in</strong> these losses, it is much<br />

more likely that the excess death component <strong>in</strong> lead<strong>in</strong>g to the fact that fewer<br />

seniors are surviv<strong>in</strong>g <strong>in</strong>to their 70s. This fact is supported by the large<br />

discrepancy <strong>in</strong> the two methods that shows up for African Americans. A<br />

straight comparison <strong>of</strong> cohorts shows that African American seniors are ag<strong>in</strong>g<br />

as the number <strong>of</strong> 70-79 and 80+ seniors showed growth between 1990 and<br />

2000. However, when one looks at the 60-69 year olds <strong>in</strong> 1990 and compares<br />

that with 2000’s 70-79 year cohort, the ga<strong>in</strong> <strong>of</strong> 1,568 becomes a loss <strong>of</strong><br />

21,945. This reversal is even larger for the 80+ population. Such variations,<br />

particularly for African Americans, can be directly tied to chronic disease and<br />

excess deaths. Such a trend <strong>in</strong>dicates a senior population with a high degree<br />

<strong>of</strong> need.<br />

While the representation <strong>of</strong> m<strong>in</strong>orities <strong>in</strong> PSA 1-A’s senior population <strong>in</strong>creased over the<br />

decade (due to high losses <strong>of</strong> white seniors), numerical losses <strong>of</strong> m<strong>in</strong>orities, coupled with<br />

grow<strong>in</strong>g numbers <strong>of</strong> m<strong>in</strong>orities <strong>in</strong> other regions <strong>of</strong> the Detroit metropolitan area and the<br />

State, resulted <strong>in</strong> an 8.4 percentage po<strong>in</strong>t loss <strong>of</strong> m<strong>in</strong>ority share <strong>in</strong> the State from 62.9 to<br />

54.5 percent.<br />

F<strong>in</strong>ally, we analyze the socioeconomic status <strong>of</strong> seniors by calculat<strong>in</strong>g each PSA’s share<br />

<strong>of</strong> seniors liv<strong>in</strong>g below 150% <strong>of</strong> the poverty threshold. 2000 Census tabulations did not<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 2


allow for poverty status calculations for the population 60+, as tabular age breaks were<br />

set at 55-64, 65-74 and 75+. Calculations made by the author estimated a decreas<strong>in</strong>g rate<br />

<strong>of</strong> poverty (19.0 percent <strong>in</strong> 1989 and 17.8 percent <strong>in</strong> 1999) for seniors <strong>in</strong> PSA 1-A.<br />

While this put PSA 1-A’s rate almost twice that <strong>of</strong> any other region, the numerical losses<br />

resulted <strong>in</strong> a drop <strong>in</strong> State share from 23.7 to 20.4 percent. S<strong>in</strong>ce the Office <strong>of</strong> Services<br />

to the Ag<strong>in</strong>g (OSA) uses 150% <strong>of</strong> poverty as their measure <strong>of</strong> socioeconomic distress, the<br />

author also made calculations <strong>of</strong> this factor. Subsequent to these calculations, OSA<br />

requested that the Census Bureau produce a special tabulation at 150% <strong>of</strong> poverty. This<br />

special tabulation, essentially mirror<strong>in</strong>g the author’s tabulation, showed that PSA 1-A’s<br />

State share was 16.1 percent, represent<strong>in</strong>g another decrease over the decade, and had<br />

once aga<strong>in</strong> been surpassed by PSA 1-B which now conta<strong>in</strong>ed 19.5 percent <strong>of</strong> the State<br />

share.<br />

PSA 1-A experienced significant decreases <strong>in</strong> State share <strong>of</strong> total senior population,<br />

m<strong>in</strong>ority population, and persons below 150% <strong>of</strong> poverty. While other research attempts<br />

to understand the health-related factors that contributed to this loss, the present study<br />

dissects PSA 1-A’s service area geographically to <strong>in</strong> order to understand the differ<strong>in</strong>g<br />

geographic components <strong>of</strong> change so that services can be better targeted to areas <strong>of</strong> need.<br />

While the full report features detailed tables for Detroit’s subcommunities, and a brief<br />

review <strong>of</strong> the Empowerment Zone, this summary dissects the region by its n<strong>in</strong>e<br />

communities, and then breaks out the City <strong>of</strong> Detroit by its 10 CRS Sectors, and creates<br />

two additional sectors comprised <strong>of</strong> the other 8 communities – Hamtramck and Highland<br />

Park <strong>in</strong> one, Harper Woods and the five Grosse Po<strong>in</strong>tes <strong>in</strong> the other.<br />

Sector Analysis<br />

In 1997 the City <strong>of</strong> Detroit launched a community-wide effort called the Community<br />

Re<strong>in</strong>vestment Strategy (CRS). This effort divided the city <strong>in</strong>to 10 sectors, which have<br />

now been identified as the <strong>of</strong>ficial sub-zones for city departments to plan and deliver<br />

services. As <strong>of</strong> 2002, the new city adm<strong>in</strong>istration has <strong>in</strong>itiated a citywide plann<strong>in</strong>g effort<br />

based on these sectors, with plann<strong>in</strong>g staff assigned to sectors. In addition to the<br />

Plann<strong>in</strong>g Department, these sectors are now recognized by Detroit’s Health Department,<br />

Neighborhood City Halls, Youth Services and <strong>Senior</strong> Services as their plann<strong>in</strong>g/service<br />

delivery areas. The Health Department has started to deliver health pr<strong>of</strong>iles by sector and<br />

the <strong>Senior</strong> Citizens Department commissioned a survey, through <strong>Wayne</strong> State<br />

University’s Institute <strong>of</strong> Gerontology, that was designed to gather data at the sector level.<br />

The Detroit Area Agency on Ag<strong>in</strong>g, recogniz<strong>in</strong>g the opportunity to utilize multiple<br />

sources <strong>of</strong> <strong>in</strong>formation to assist <strong>in</strong> plann<strong>in</strong>g, has accepted these sectors as a reasonable<br />

geography for service plann<strong>in</strong>g. As DAAA’s service area <strong>in</strong>cludes more than just the City<br />

<strong>of</strong> Detroit, the additional cities have been comb<strong>in</strong>ed (Highland Park and Hamtramck;<br />

Harper Woods and the five Grosse Po<strong>in</strong>tes) to form an additional two sectors.<br />

The major f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> the sector analysis were the follow<strong>in</strong>g:<br />

• Population change varied greatly among the sectors. Eleven <strong>of</strong> the 12 lost<br />

population, with the largest decreases occurr<strong>in</strong>g on the far northeast side <strong>of</strong><br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 3


Detroit (sector 2) and <strong>in</strong> the downtown sector (sector 4). Losses on the west side<br />

<strong>of</strong> town were considerably less, with the one sector (sector 9) show<strong>in</strong>g growth<br />

(9.9 percent) ly<strong>in</strong>g <strong>in</strong> the mid-Northwest section and hav<strong>in</strong>g Eight Mile Rd. as its<br />

northern boundary.<br />

• The number <strong>of</strong> White, non-Hispanic seniors decreased <strong>in</strong> all 12 sectors, while the<br />

number <strong>of</strong> m<strong>in</strong>ority seniors decreased <strong>in</strong> only 5.<br />

• While the number <strong>of</strong> poor seniors decreased <strong>in</strong> all 12 sectors, the percentage <strong>of</strong><br />

seniors <strong>in</strong> poverty rose <strong>in</strong> six and dropped <strong>in</strong> six. The highest <strong>in</strong>cidence <strong>of</strong><br />

poverty was 29.8 percent <strong>in</strong> the downtown sector (down from 35.4 percent <strong>in</strong><br />

1989). The lowest poverty rate, 3.4 percent, was found <strong>in</strong> the sector<br />

encompass<strong>in</strong>g Harper Woods and the Po<strong>in</strong>tes. This rate was virtually unchanged<br />

from 3.6 percent ten years earlier.<br />

• The high rate <strong>of</strong> poverty <strong>in</strong> Sector 4 (downtown) corresponded with the highest<br />

<strong>in</strong>cidence <strong>of</strong> seniors liv<strong>in</strong>g alone – 62 percent. This association also held for the<br />

sector (11) comprised <strong>of</strong> Highland Park and Hamtramck – a poverty rate <strong>of</strong> 25.3<br />

percent and a liv<strong>in</strong>g alone rate <strong>of</strong> 49.4 percent.<br />

• The 2000 Census asked two questions on its long form (sent to one <strong>of</strong> every six<br />

households) that addressed disability issues. All sectors showed similar<br />

distributions <strong>of</strong> the five major disability categories: sensory, physical, mental,<br />

self-care, and go<strong>in</strong>g outside alone. However, sectors 11, 4 and 3 (southeast<br />

Detroit) showed the highest <strong>in</strong>cidence rates <strong>of</strong> multiple disabilities, with the<br />

highest rates <strong>of</strong> self-care disability as well. Such a fact compounds the issues for<br />

seniors <strong>in</strong> sectors 4 and 11. The high rate <strong>of</strong> multiple disabilities <strong>in</strong> Sector 3 can<br />

be tied to the fact that this area has the highest number <strong>of</strong> nurs<strong>in</strong>g home residents<br />

– almost double that <strong>of</strong> any other.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 4


A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A:<br />

Implications for Fund<strong>in</strong>g and Service Delivery<br />

The Detroit Area Agency on Ag<strong>in</strong>g Region 1-A is comprised <strong>of</strong> the follow<strong>in</strong>g cities:<br />

Detroit, the five Grosse Po<strong>in</strong>tes, Hamtramck, Harper Woods, and Highland Park. In<br />

order to analyze the agency’s population base (persons 60 years and over), both with<br />

regard to current residential distribution and trends over time, we have utilized several<br />

different geographic structures.<br />

Total Population Trends<br />

At the State level we have analyzed Region 1-A <strong>in</strong> relation to the other 15 regions <strong>in</strong> the<br />

State. The primary variables that will be exam<strong>in</strong>ed <strong>in</strong> this analysis are: share <strong>of</strong> State’s<br />

population 60 years and over; share <strong>of</strong> State’s m<strong>in</strong>ority population 60 years and over;<br />

share <strong>of</strong> State’s population 60 years and over <strong>in</strong> poverty. An additional set <strong>of</strong> variables,<br />

judged as relevant measures <strong>of</strong> the health and well-be<strong>in</strong>g <strong>of</strong> seniors, will also be<br />

reviewed. The analysis has shown that the population losses that the region has<br />

experienced over the last 30 years has resulted <strong>in</strong> its overall share <strong>of</strong> the total population<br />

decreas<strong>in</strong>g from 24.9 percent <strong>in</strong> 1970 to 9.3 percent <strong>in</strong> 2000 (see Table 1).<br />

Table 1. Share <strong>of</strong> the State’s 60+ Population by Region<br />

Region 1970 1980 1990 2000<br />

1-A 24.9 17.2 12.7 9.3<br />

1-B 17.9 21.8 24.7 26.3<br />

1-C 8.2 10.0 11.2 10.7<br />

2 3.2 3.2 3.2 3.2<br />

3-A 2.1 2.0 2.1 2.2<br />

3-B 2.3 2.2 2.2 2.1<br />

3-C 1.2 1.2 1.2 1.2<br />

4 3.4 3.4 3.4 3.3<br />

5 5.1 5.2 5.4 5.7<br />

6 3.5 3.4 3.5 3.7<br />

7 7.1 7.6 7.6 8.0<br />

8 8.4 8.6 8.5 8.8<br />

9 2.4 3.0 3.3 3.7<br />

10 2.5 2.8 3.0 3.5<br />

11 4.7 4.7 4.4 4.2<br />

14 3.3 3.6 3.8 4.1<br />

While this loss <strong>in</strong> share is attributable, to some degree, to ga<strong>in</strong>s throughout the State, it is<br />

more the case <strong>of</strong> losses <strong>in</strong> Region 1-A. Table 2 shows population trends <strong>in</strong> Region 1-A,<br />

both total and just the 60 years and over population, from 1970 to 2000. Both groups<br />

suffered large losses, <strong>in</strong> both number and percent, between 1970 and 1980. While the<br />

region’s total population fell by 332,000, or 20.1 percent, the 60+ population dropped by<br />

over 56,000, or 17.2 percent. The decade <strong>of</strong> the 1980s brought a slight slow<strong>in</strong>g to the<br />

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losses for both, though percentage losses rema<strong>in</strong>ed <strong>in</strong> double-digits – between 14 and 15<br />

percent. The decade <strong>of</strong> the 1990s brought the first significant divergence <strong>in</strong> these trends.<br />

While the Region’s total population loss slowed to just under 7 percent, the rate <strong>of</strong> loss<br />

for persons 60 and over accelerated to 22.8 percent – highest <strong>of</strong> any period. While<br />

Region 1-A’s total population fell by just under 78,000 persons, more than half <strong>of</strong> this<br />

loss (56 percent) was attributable to losses <strong>in</strong> the 60+ population, which fell by almost<br />

44,000.<br />

Table 2. Trends <strong>in</strong> Total and Elderly Population <strong>in</strong> Region 1-A, 1970 - 2000<br />

Year<br />

Population Totals, by Decade<br />

Percent Change, Decade to Decade<br />

<strong>Michigan</strong> Region 1-A <strong>Michigan</strong> Region 1-A<br />

Total 60+ Total 60+ Total 60+ Total 60+<br />

1970 8,875,083 1,089,225 1,653,065 270,940<br />

1980 9,262,078 1,305,636 1,320,898 224,257 4.4% 19.9% -20.1% -17.2%<br />

1990 9,295,297 1,510,397 1,130,565 191,424 0.4% 15.7% -14.4% -14.6%<br />

2000 9,938,444 1,596,162 1,052,946 147,806 6.9% 5.7% -6.9% -22.8%<br />

Table 3 presents a summary, by age category, <strong>of</strong> Region 1-A’s population 60+ <strong>in</strong> 1990<br />

and 2000. While the overall 60+ population experienced a loss <strong>of</strong> 43,618, or 22.8<br />

percent, the majority <strong>of</strong> this loss occurred <strong>in</strong> the 60-64 years and 65-74 years cohorts.<br />

There were 31 percent fewer 60-64 year olds and 29 percent fewer 65-74 year olds <strong>in</strong><br />

Region 1-A <strong>in</strong> 2000 than a decade earlier. While losses were also experienced by the 75-<br />

84 years and 85 years+ cohorts, these losses were considerably less – 6.5 and 10 percent,<br />

respectively. The 55-59 year cohort experienced a very small loss over the decade, and<br />

its total <strong>of</strong> 42,843 is almost 10,000 higher than the 60-64 year cohort just ahead <strong>of</strong> it.<br />

Bar<strong>in</strong>g large losses due to death and/or migration, this group, coupled with the first wave<br />

<strong>of</strong> “baby-boomers” that follow, will br<strong>in</strong>g overall growth <strong>in</strong> the region’s 60+ population<br />

<strong>in</strong> the decade to come.<br />

Table 3. Trends <strong>in</strong> Selected Age Categories <strong>in</strong> Region 1-A, 1990 - 2000<br />

Age Group<br />

Region 1-A Totals 1990-2000 Change<br />

1990 2000 Number Percent<br />

45-54 years 99,251 130,599 31,348 31.6<br />

55-59 years 43,703 42,843 -860 -2.0<br />

60 years+ 191,424 147,806 -43,618 -22.8<br />

60-64 years 47,885 32,999 -14,886 -31.1<br />

65 years+ 143,539 114,807 -28,732 -20.0<br />

65-74 years 84,819 60,385 -24,434 -28.8<br />

75-84 years 44,376 41,475 -2,901 -6.5<br />

85 years+ 14,344 12,947 -1,397 -9.7<br />

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M<strong>in</strong>ority Population Trends<br />

Decreases <strong>in</strong> Region 1-A’s share <strong>of</strong> the state’s m<strong>in</strong>ority population, while much less,<br />

have also been the rule. Table 4 summarizes the trend <strong>in</strong> m<strong>in</strong>ority share across the<br />

State’s 16 regions between 1990 and 2000 1 .<br />

While Region 1-A’s m<strong>in</strong>orities <strong>in</strong>creased their share <strong>of</strong> the 60+ population (from 60 to 72<br />

percent), due primarily to a loss <strong>of</strong> over half the region’s white, non-Hispanic elderly, the<br />

region’s share <strong>of</strong> the State’s m<strong>in</strong>ority elderly decreased from 62.9 to 54.5 percent. This<br />

decrease was a result <strong>of</strong> grow<strong>in</strong>g numbers <strong>of</strong> m<strong>in</strong>ority elderly <strong>in</strong> most areas <strong>of</strong> the state –<br />

particularly <strong>in</strong> the greater Detroit metropolitan area - as measured by growth <strong>in</strong> Regions<br />

1-B, 1-C and 5.<br />

Table 4. Share <strong>of</strong> M<strong>in</strong>ority Population 60 Years+ by Region, 1990 - 2000<br />

Region<br />

1990 2000<br />

Reg Share ST Share Reg Share ST Share<br />

1-A 60.0 62.9 72.1 54.5<br />

1-B 4.5 9.3 6.6 14.1<br />

1-C 5.6 5.2 6.7 5.9<br />

2 4.0 1.1 3.7 1.0<br />

3-A 5.5 1.0 7.1 1.3<br />

3-B 7.0 1.3 7.6 1.3<br />

3-C 3.0 0.3 2.5 0.2<br />

4 9.9 2.8 10.0 2.7<br />

5 11.1 5.0 12.8 5.9<br />

6 6.1 1.8 7.3 2.2<br />

7 5.4 3.4 5.2 3.4<br />

8 4.6 3.2 5.3 3.8<br />

9 0.7 0.2 1.1 0.3<br />

10 1.1 0.3 1.3 0.4<br />

11 1.6 0.6 2.7 0.9<br />

14 6.0 1.9 5.9 2.0<br />

A further analysis <strong>of</strong> the region’s racial/ethnic makeup (see Table 5) details the<br />

composition <strong>of</strong> the region’s m<strong>in</strong>ority population. Just under 96 percent <strong>of</strong> the region’s<br />

total m<strong>in</strong>ority elderly population is African-American. 2 Native Americans, Asians and<br />

Other (undef<strong>in</strong>ed) races accounted for less than 1 percent each. Multi-racial responses<br />

accounted for 1.4 percent. While not <strong>in</strong>cluded <strong>in</strong> the count <strong>of</strong> m<strong>in</strong>orities, 3,014 elderly<br />

(2.0 percent) identified themselves as Lat<strong>in</strong>o/Hispanic.<br />

1 The 2000 Census allowed respondents for the first time to choose more than one race. The Office <strong>of</strong><br />

Services to the Ag<strong>in</strong>g tabulated m<strong>in</strong>ority population to <strong>in</strong>clude these multi-race respondents, <strong>in</strong> addition to<br />

the s<strong>in</strong>gle-race respondents who listed African-American, Native American, Asian, Native Hawaiian or<br />

other Pacific Islander, or Other Race.<br />

2 Race identification <strong>in</strong> Table 5 is associated with s<strong>in</strong>gle race responses. In other words, the count <strong>of</strong><br />

African-Americans is based on the number <strong>of</strong> respondents who listed only African-American on their<br />

census questionnaire. If they listed African-American and another race they were counted as Multi-racial.<br />

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The racial/ethnic composition <strong>of</strong> the elderly differs from that <strong>of</strong> the general population.<br />

The elderly population tends to be much more heavily White, non-Hispanic – 27 vs. 16<br />

percent, and trails <strong>in</strong> all m<strong>in</strong>ority categories. In spite <strong>of</strong> the large decrease <strong>in</strong> White, non-<br />

Hispanic elderly <strong>in</strong> Detroit over the last decade (just over 50 percent), their share <strong>of</strong><br />

Detroit’s elderly population (19 percent) was almost double their representation <strong>in</strong> the<br />

total population (10.5 percent).<br />

Table 5. Racial Distribution <strong>of</strong> Region 1-A’s Total and 60 Years+ Populations, 2000<br />

Total Population<br />

60+ Population<br />

Number Percent<br />

M<strong>in</strong>ority<br />

Share<br />

with<strong>in</strong> 1-A Number Percent<br />

M<strong>in</strong>ority<br />

Share<br />

with<strong>in</strong> 1-A<br />

Total Population 1,052,946 147,806<br />

M<strong>in</strong>ority Population 863,835 82.0 106,499 72.1<br />

African-American 796,952 75.7 92.3 101,816 68.9 95.6<br />

Native American 3,406 0.3 0.4 435 0.3 0.4<br />

Asian & PI 13,076 1.2 1.5 1,045 0.7 1.0<br />

Other Race 24,668 2.3 2.9 1,080 0.7 1.0<br />

Multi-Race 25,733 2.4 3.0 2,123 1.4 2.0<br />

Lat<strong>in</strong>o/Hispanic 48,410 4.6 5.6 3,014 2.0 2.8<br />

White, non-Hispanic 171,630 16.3 39,880 27.0<br />

Poverty Trends<br />

Measurement <strong>of</strong> trends <strong>in</strong> the elderly poor have been complicated by the way age-related<br />

poverty data were tabulated by the Census Bureau <strong>in</strong> the 2000 Census. Rather than<br />

break<strong>in</strong>g out the 55-64 year age cohort <strong>in</strong>to two groups – 55-59 and 60-64 – allow<strong>in</strong>g for<br />

tabulations <strong>of</strong> the 60 and over population (as done <strong>in</strong> 1980 and 1990), the Census Bureau<br />

chose to keep it as one. Table 6 shows the distribution <strong>of</strong> poverty by age groups from the<br />

2000 Census. It is clear that Region 1-A’s poverty rates far exceed those <strong>of</strong> any other<br />

region <strong>in</strong> all age categories. The poverty rate for the total population <strong>in</strong> Region 1-A<br />

stands at 24.9 percent, more than double that <strong>of</strong> the next highest, Region 7, at 12.1<br />

percent. This 2:1 ratio essentially holds for the 65+ cohort (17.4 vs. 9.4 percent), but<br />

drops slightly <strong>in</strong> the 75+ cohort – 17.8 vs. 10.4 percent. The largest ratio exists for 65-74<br />

year olds – 2.8:1 (17 percent for Region 1-A and 6.1 percent for Region 4).<br />

Due to 2000 Census tabulation issues, the only way to approximate the tabulation for 60+<br />

is to perform an allocation based on population share. 3 Utiliz<strong>in</strong>g this estimation method<br />

we f<strong>in</strong>d that the poverty rate for seniors <strong>in</strong> Region 1-A fell slightly to 17.8 percent from<br />

the previous value <strong>of</strong> 19 percent (see Table 7). This decrease followed the significant rise<br />

that occurred dur<strong>in</strong>g the 1980s. The decrease <strong>in</strong> the overall poverty rate, coupled with the<br />

numbers <strong>of</strong> seniors mov<strong>in</strong>g out <strong>in</strong>to the Detroit suburbs, led to a decreas<strong>in</strong>g share <strong>of</strong> poor<br />

seniors <strong>in</strong> Region 1-A and <strong>in</strong>creas<strong>in</strong>g state shares for regions 1-B and 1-C.<br />

3<br />

In order to approximate the 60-64 year cohort <strong>in</strong> poverty, an allocation was performed based on each<br />

region’s share <strong>of</strong> total population 55-64 years represented by the 60-64 subgroup. Each share was then<br />

applied to the number <strong>of</strong> poor <strong>in</strong> the 55-64 year range, with the result be<strong>in</strong>g an estimate <strong>of</strong> poor between 60<br />

and 64 years.<br />

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Table 6. Poverty Rate by Age Category, 1999<br />

Region Total 55-64 65+ 65-74 75+<br />

1-A 24.9 11.9 17.4 17.0 17.8<br />

1-B 6.3 2.9 6.5 3.5 6.8<br />

1-C 7.5 3.6 6.1 4.4 6.1<br />

2 8.2 4.2 7.5 4.8 7.5<br />

3-A 12.0 3.7 6.3 4.5 5.7<br />

3-B 9.6 5.3 8.2 5.6 7.6<br />

3-C 10.5 6.0 7.1 4.5 6.9<br />

4 11.8 5.9 9.4 6.1 9.1<br />

5 11.3 5.4 7.7 5.2 6.3<br />

6 11.0 3.6 6.4 3.4 6.5<br />

7 12.1 6.1 8.8 5.6 8.9<br />

8 9.5 4.8 7.9 5.1 7.6<br />

9 11.9 9.3 7.8 5.9 6.7<br />

10 7.9 5.4 6.8 3.9 7.0<br />

11 11.8 6.4 9.3 6.0 10.4<br />

14 8.4 3.9 6.7 3.7 7.3<br />

Table 7. Trends <strong>in</strong> Poverty Rate <strong>of</strong> Population 60+ Population by Region, 1979 - 1999<br />

Region<br />

1979 1989 1999<br />

Reg Share ST Share Reg Share ST Share Reg Share ST Share<br />

1-A 15.5 24.1 19.0 23.7 17.8 20.4<br />

1-B 7.5 14.9 6.7 16.3 6.1 19.8<br />

1-C 7.0 6.4 6.6 7.2 6.1 8.1<br />

2 11.0 3.2 10.2 3.1 7.2 2.8<br />

3-A 8.4 1.5 8.6 1.8 6.3 1.7<br />

3-B 10.2 2.0 9.2 1.9 8.1 2.1<br />

3-C 9.9 1.1 9.3 1.0 7.4 1.1<br />

4 12.7 4.0 11.4 3.8 9.2 3.8<br />

5 10.5 4.9 9.4 4.9 7.9 5.6<br />

6 9.7 3.0 8.7 3.0 6.3 2.9<br />

7 12.5 8.6 11.4 8.5 8.8 8.7<br />

8 11.8 9.0 10.1 8.3 7.9 8.4<br />

9 15.9 4.4 13.5 4.3 8.3 3.9<br />

10 14.8 3.7 10.7 3.1 7.0 3.0<br />

11 14.7 6.3 13.9 5.9 9.2 4.8<br />

14 9.1 3.0 8.7 3.1 6.6 3.3<br />

Table 8 attempts to assess the severity <strong>of</strong> poverty that exists <strong>in</strong> the regions for the<br />

population 65 years and over. While one can determ<strong>in</strong>e the share that fall below the<br />

poverty guidel<strong>in</strong>es (as <strong>in</strong> Table 6), it is also <strong>in</strong>formative to assess how far below they fall.<br />

This can be done by subdivid<strong>in</strong>g the poor <strong>in</strong>to the categories 50% or less <strong>of</strong> poverty and<br />

75% or less. When we do this we see that 5.7 percent <strong>of</strong> Region 1-A’s population falls<br />

below the 50% mark – more than twice that <strong>of</strong> the next region <strong>in</strong> l<strong>in</strong>e. Results at less than<br />

75% show the same trend. Region 1-A has a truly needy elderly population.<br />

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Table 8. Percent <strong>of</strong> the Population 65+ by Ratio to Poverty, by Region, 1999<br />

Region<br />

Total<br />

Persons<br />

Percent <strong>of</strong> Persons Less than _ % <strong>of</strong> Poverty<br />

50 75 100 125 150<br />

1-A 110,917 5.7 9.6 17.4 23.9 29.8<br />

1-B 306,987 2.2 3.5 6.5 9.8 13.8<br />

1-C 129,861 2.3 3.7 6.1 9.7 13.9<br />

2 37,139 2.5 4.0 7.5 12.6 18.5<br />

3-A 25,741 2.1 3.5 6.3 11.2 16.1<br />

3-B 24,665 2.3 4.0 8.2 13.5 19.4<br />

3-C 13,373 1.8 3.5 7.1 12.8 18.8<br />

4 38,587 2.6 4.8 9.4 15.3 22.1<br />

5 65,656 2.5 4.2 7.7 12.1 16.3<br />

6 43,008 2.2 3.5 6.4 10.1 14.5<br />

7 93,167 2.5 4.5 8.8 14.1 20.2<br />

8 101,138 2.2 3.8 7.9 13.0 18.7<br />

9 43,724 2.4 4.0 7.8 13.5 20.1<br />

10 40,365 2.0 3.4 6.8 12.4 18.3<br />

11 49,620 2.2 3.9 9.3 16.4 23.8<br />

14 47,132 2.2 3.8 6.7 11.0 16.9<br />

Table 9 represents data developed as a special tabulation by the Census Bureau, under<br />

contract with the <strong>Michigan</strong> Office <strong>of</strong> Services to the Ag<strong>in</strong>g. In order to carry out future<br />

plann<strong>in</strong>g and fund<strong>in</strong>g allocations, the State requested a tabulation <strong>of</strong> the 60+ population at<br />

or below 150% <strong>of</strong> poverty. 4 While the representation <strong>of</strong> elderly at or below 150% <strong>of</strong><br />

poverty was highest <strong>in</strong> Region 1-A at 28.3 percent (as calculated <strong>in</strong> previous estimates),<br />

its share <strong>of</strong> the State total fell more than 3 po<strong>in</strong>ts below Region 1-B as a result <strong>of</strong> the<br />

large <strong>in</strong>flux <strong>of</strong> elderly <strong>in</strong>to Region 1-B over the last decade. A comparison <strong>of</strong> the<br />

regional shares calculated as part <strong>of</strong> the estimates process with those provided <strong>in</strong> the<br />

special tabulation shows very little difference. Only six <strong>of</strong> the sixteen regions showed<br />

any difference between the two, and none <strong>of</strong> the differences was more than one-tenth <strong>of</strong><br />

one percent. In the case <strong>of</strong> Region 1-A, special tabulation results produced a State share<br />

<strong>of</strong> 16.1 percent, compared to the estimate <strong>of</strong> 16.2 percent. These results provide the<br />

support<strong>in</strong>g documentation necessary to conclude that the estimate methodology works.<br />

Therefore, while the special tabulation provides no numbers below the community level,<br />

estimates <strong>of</strong> the population 60+ both at or below poverty and at or below 150% will be<br />

reported for smaller geographies.<br />

4 The tabulation only provided total persons 60+ at or below 150% <strong>of</strong> poverty. There were no universes<br />

<strong>in</strong>cluded so regional shares cannot be tabulated. Based on the closeness <strong>of</strong> the estimates that were<br />

developed prior to this tabulation, the regional shares reported as part <strong>of</strong> the estimates should still hold true.<br />

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Table 9. Population 60 Years+ At or Below 150% Poverty by Region, 1999<br />

Region<br />

Special Tabulation WSU Estimate<br />

Total ST Share Reg. Share ST Share<br />

1-A 42,530 16.1 28.3 16.2<br />

1-B 51,599 19.5 12.0 19.4<br />

1-C 22,322 8.4 12.7 8.4<br />

2 8,342 3.2 16.1 3.2<br />

3-A 5,040 1.9 14.0 1.9<br />

3-B 6,147 2.3 17.6 2.3<br />

3-C 3,265 1.2 17.1 1.2<br />

4 10,510 4.0 19.7 4.0<br />

5 14,120 5.3 15.1 5.3<br />

6 8,088 3.1 12.9 3.0<br />

7 23,665 8.9 18.2 9.0<br />

8 23,965 9.1 16.6 9.0<br />

9 11,575 4.4 19.0 4.4<br />

10 9,300 3.5 16.4 3.5<br />

11 14,215 5.4 20.9 5.5<br />

14 10,122 3.8 14.9 3.8<br />

Liv<strong>in</strong>g Arrangements<br />

One f<strong>in</strong>al variable was assessed that has an impact on the daily lives <strong>of</strong> the elderly. That<br />

variable deals with the liv<strong>in</strong>g arrangements <strong>of</strong> the elderly – specifically the share that live<br />

Table 10. Share <strong>of</strong> Persons 60 Years<br />

and Over Liv<strong>in</strong>g Alone by Region, 2000<br />

Region<br />

2000<br />

Reg Share ST Share<br />

State 38.0<br />

1-A 39.2 10.5<br />

1-B 37.4 26.1<br />

1-C 39.2 11.3<br />

2 36.5 3.0<br />

3-A 39.7 2.2<br />

3-B 37.6 2.1<br />

3-C 37.8 1.1<br />

4 37.0 3.2<br />

5 37.7 5.7<br />

6 38.8 3.8<br />

7 38.1 7.8<br />

8 37.2 8.3<br />

9 36.1 3.4<br />

10 35.5 3.1<br />

11 42.3 4.6<br />

14 36.6 3.7<br />

alone. Such a liv<strong>in</strong>g arrangement <strong>of</strong>ten<br />

leads to lonel<strong>in</strong>ess and a lack <strong>of</strong> <strong>in</strong>teraction<br />

with others. If recreational and healthrelated<br />

services are not located <strong>in</strong> the<br />

neighborhood, and one has no vehicle<br />

available, or one that is unreliable, or if<br />

one has difficulty perform<strong>in</strong>g activities <strong>of</strong><br />

daily liv<strong>in</strong>g, it requires strong connections<br />

with others to be able to ma<strong>in</strong>ta<strong>in</strong> a quality<br />

<strong>of</strong> life.<br />

Table 6 shows that the percent liv<strong>in</strong>g alone<br />

was very similar across the 16 regions,<br />

with Region 11 <strong>in</strong> the Upper Pen<strong>in</strong>sula<br />

hav<strong>in</strong>g the highest (42.3 percent) and<br />

Region 10 <strong>in</strong> the western portion <strong>of</strong> the<br />

Northern Lower pen<strong>in</strong>sula hav<strong>in</strong>g the<br />

lowest (35.5 percent).<br />

While Region 1-A’s share was the same as that <strong>of</strong> 1-C, and slightly higher than 1-B,<br />

shear numbers led the way as Region1-A’s share <strong>of</strong> the State total, 10.5 percent, fell just<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 11


elow that <strong>of</strong> 1-C at 11.3 percent, and well beh<strong>in</strong>d Region 1-B. In fact, Region 1-B<br />

accounted for more than 1 <strong>of</strong> every 4 State seniors who lived alone.<br />

Further Analyses <strong>of</strong> Region 1-A<br />

In order to better understand the changes that have occurred <strong>in</strong> Region 1-A, the analysis<br />

now addresses the region’s geographic components. Learn<strong>in</strong>g more about where the<br />

losses (and ga<strong>in</strong>s) have occurred, as well as the characteristics <strong>of</strong> the persons who reside<br />

<strong>in</strong> the region, will allow for a better understand<strong>in</strong>g <strong>of</strong> these trends and a more focused<br />

approach to service delivery.<br />

Our sub-regional analysis is be<strong>in</strong>g conducted on two levels.<br />

1. Community-level – An analysis <strong>of</strong> changes <strong>in</strong> the 60 and over population <strong>in</strong> each<br />

<strong>of</strong> the 9 communities <strong>in</strong> the region.<br />

2. Sector-level – An analysis is done by divid<strong>in</strong>g the City <strong>of</strong> Detroit <strong>in</strong>to the 10<br />

Plann<strong>in</strong>g Sectors that were developed by the City Plann<strong>in</strong>g Department <strong>in</strong> 1997,<br />

and have become the focus <strong>of</strong> all plann<strong>in</strong>g <strong>in</strong> the City. To extend the geography<br />

region-wide, two other sectors have been developed – one made up <strong>of</strong> Hamtramck<br />

and Highland Park; the other comprised <strong>of</strong> the five Grosse Po<strong>in</strong>tes and Harper<br />

Woods.<br />

Population Trends<br />

COMMUNITY ANALYSIS<br />

Region 1-A has experienced a steady decl<strong>in</strong>e <strong>in</strong> its elderly population s<strong>in</strong>ce 1970. The<br />

decade <strong>of</strong> the 1990s represented the largest loss percentage loss, and second largest<br />

numerical loss over this 30-year period. While the majority <strong>of</strong> the loss occurred <strong>in</strong><br />

Detroit, which accounts for 87 percent <strong>of</strong> the region’s population, all communities <strong>in</strong> the<br />

region, with the exception <strong>of</strong> the smallest community <strong>in</strong> the region, Grosse Po<strong>in</strong>te Shores<br />

village, experienced loss. As already documented <strong>in</strong> Table 3, the heaviest losses occurred<br />

<strong>in</strong> the cohorts between 60 and 74 years <strong>of</strong> age.<br />

While the analysis to this po<strong>in</strong>t has demonstrated a loss <strong>of</strong> the 60+ population <strong>in</strong> Region<br />

1-A, result<strong>in</strong>g <strong>in</strong> a loss <strong>of</strong> State share, as well as a loss <strong>in</strong> the number and State share <strong>of</strong><br />

M<strong>in</strong>orities 60+, we still need to better understand the demographic and socioeconomic<br />

characteristics <strong>of</strong> this population. In order to do that we turn to the 2000 Census and seek<br />

to m<strong>in</strong>e the applicable data. 5<br />

5 The age categories that will be used for this analysis are dependent upon the tabulations <strong>of</strong>fered by the<br />

Census Bureau. As is the case with poverty calculations, many <strong>of</strong> the tabulations do not allow for the<br />

complete universe <strong>of</strong> 60+ to be used. In most cases one is limited to universes <strong>of</strong> 65+ and 75+.<br />

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Table 11. Region 1-A’s 60+ Population by Community, 1970-2000<br />

1970 1980 1990 2000<br />

Region 1-A Total 270,940 224,257 191,424 147,806<br />

% Change by Decade -17.2 -14.6 -22.8<br />

Detroit city 245,112 198,838 167,219 128,400<br />

Grosse Po<strong>in</strong>te city 1,481 1,390 1,222 1,156<br />

Grosse Po<strong>in</strong>te Farms city 2,594 2,429 2,406 2,194<br />

Grosse Po<strong>in</strong>te Park city 2,921 2,392 2,080 1,790<br />

Grosse Po<strong>in</strong>te Shores 537 626 786 847<br />

Grosse Po<strong>in</strong>te Woods city 3,107 3,911 4,317 3,804<br />

Hamtramck city 5,675 5,592 4,572 3,375<br />

Harper Woods city 3,264 4,827 5,067 3,218<br />

Highland Park city 6,249 4,252 3,755 3,022<br />

M<strong>in</strong>ority Trends<br />

Table 12 provides the racial (m<strong>in</strong>ority 6 overall) composition <strong>of</strong> Region 1-A by<br />

community. M<strong>in</strong>orities account for 73 percent <strong>of</strong> the Region’s population 60+, but only<br />

67 percent <strong>of</strong> those 75+. This discrepancy is the result <strong>of</strong> a White, non-Hispanic<br />

population that is represented <strong>in</strong> higher numbers <strong>in</strong> the older age categories – particularly<br />

<strong>in</strong> Detroit. The table also shows the wide variation <strong>in</strong> the racial makeup <strong>of</strong> the Region’s<br />

seniors across communities. Detroit and Highland Park provide the bulk <strong>of</strong> m<strong>in</strong>ority<br />

seniors, with Hamtramck com<strong>in</strong>g <strong>in</strong> a distant third.<br />

Table 12. Region 1-A’s M<strong>in</strong>ority Population 60+ Population by Community, 2000<br />

Total Population<br />

Percent M<strong>in</strong>ority<br />

60+ 65+ 75+ 60+ 65+ 75+<br />

Region 1-A Total 147,806 114,807 54,422 73.0 71.5 66.9<br />

Detroit city 128,400 99,056 46,193 81.0 79.8 75.8<br />

Grosse Po<strong>in</strong>te city 1,156 889 477 1.8 1.5 0.8<br />

Grosse Po<strong>in</strong>te Farms city 2,194 1,749 810 1.2 0.9 0.9<br />

Grosse Po<strong>in</strong>te Park city 1,790 1,345 623 5.3 4.5 3.7<br />

Grosse Po<strong>in</strong>te Shores 847 660 279 4.4 3.0 1.4<br />

Grosse Po<strong>in</strong>te Woods city 3,804 3,108 1,568 2.3 2.0 0.9<br />

Hamtramck city 3,375 2,734 1,604 22.2 20.8 18.7<br />

Harper Woods city 3,218 2,831 1,750 4.1 3.3 2.3<br />

Highland Park city 3,022 2,435 1,118 92.0 91.0 88.6<br />

6 The def<strong>in</strong>ition <strong>of</strong> m<strong>in</strong>ority <strong>in</strong> this discussion is slightly different than that used <strong>in</strong> the previous discussion.<br />

Here we are exclud<strong>in</strong>g White, non-Hispanics from the total population. The overall share is slightly higher<br />

than that shown <strong>in</strong> Table 4 (73.0 vs. 72.1 percent) due to the fact that the def<strong>in</strong>ition used by the State Office<br />

<strong>of</strong> Services to the Ag<strong>in</strong>g <strong>in</strong>cludes Hispanics who also listed a race other than White.<br />

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Poverty Trends<br />

Table 13 allows for a f<strong>in</strong>er analysis <strong>of</strong> the region’s poor seniors. While there are pockets<br />

<strong>of</strong> poverty <strong>in</strong> all communities, 98 percent <strong>of</strong> the poor live <strong>in</strong> the three communities <strong>of</strong><br />

Detroit, Hamtramck and Highland Park. The economic status <strong>of</strong> seniors differs greatly<br />

from community to community. Highland Park has by far the highest rate <strong>of</strong> poverty <strong>in</strong><br />

Table 13. Ratio <strong>of</strong> Income to Poverty <strong>in</strong> Region 1-A by Community, 1999<br />

Region<br />

Total Persons<br />

65+<br />

Persons Less than _ % <strong>of</strong> Poverty<br />

50 75 100 125 150<br />

Region 1-A Total 110,917 6,300 10,684 19,299 26,533 33,004<br />

Detroit city 95,695 5,779 9,829 17,762 24,511 30,423<br />

Grosse Po<strong>in</strong>te city 887 4 11 17 30 48<br />

Grosse Po<strong>in</strong>te Farms city 1,730 18 18 25 25 43<br />

Grosse Po<strong>in</strong>te Park city 1,326 8 8 25 36 60<br />

Grosse Po<strong>in</strong>te Shores 661 13 21 21 29 33<br />

Grosse Po<strong>in</strong>te Woods city 3,039 19 58 85 101 124<br />

Hamtramck city 2,606 174 250 471 670 828<br />

Harper Woods city 2,694 65 116 192 284 399<br />

Highland Park city 2,279 220 373 701 847 1,046<br />

Percent by Ratio to Poverty<br />

Region 1-A Total 5.7 9.6 17.4 23.9 29.8<br />

Detroit city 6.0 10.3 18.6 25.6 31.8<br />

Grosse Po<strong>in</strong>te city 0.5 1.2 1.9 3.4 5.4<br />

Grosse Po<strong>in</strong>te Farms city 1.0 1.0 1.4 1.4 2.5<br />

Grosse Po<strong>in</strong>te Park city 0.6 0.6 1.9 2.7 4.5<br />

Grosse Po<strong>in</strong>te Shores 2.0 3.2 3.2 4.4 5.0<br />

Grosse Po<strong>in</strong>te Woods city 0.6 1.9 2.8 3.3 4.1<br />

Hamtramck city 6.7 9.6 18.1 25.7 31.8<br />

Harper Woods city 2.4 4.3 7.1 10.5 14.8<br />

Highland Park city 9.7 16.4 30.8 37.2 45.9<br />

the region with one-third (30.8 percent) <strong>of</strong> its seniors fall<strong>in</strong>g below the poverty threshold,<br />

and almost half fall<strong>in</strong>g below 150 percent. One <strong>of</strong> ten seniors <strong>in</strong> Highland Park lives on<br />

an annual <strong>in</strong>come that is less than half the poverty threshold. While Hamtramck has the<br />

second highest share <strong>of</strong> very poor seniors (6.7 percent), Detroit surpasses it for overall<br />

poverty (18.6 vs. 18.1 percent, respectively). Both cities have a third (31.8 percent) <strong>of</strong><br />

their seniors liv<strong>in</strong>g below the150 percent threshold. Harper Woods falls well beh<strong>in</strong>d the<br />

others with 14.8 percent below 150 percent, while none <strong>of</strong> the five Grosse Po<strong>in</strong>tes even<br />

approaches 6 percent.<br />

The Census Bureau’s special tabulation also provides counts <strong>of</strong> persons 60+ at or below<br />

150% <strong>of</strong> poverty by community with<strong>in</strong> Region 1-A (see Table 14). While the counts add<br />

little to the discussion, they do serve to re<strong>in</strong>force the way need is distributed <strong>in</strong> the region.<br />

Detroit accounts for 92.4 percent <strong>of</strong> all seniors at or below 150%, with Highland Park and<br />

Hamtramck account<strong>in</strong>g for another 5.5 percent. Such concentrations make more ref<strong>in</strong>ed<br />

geographic analysis that follows critical for determ<strong>in</strong><strong>in</strong>g target<strong>in</strong>g <strong>of</strong> dim<strong>in</strong>ish<strong>in</strong>g service<br />

dollars and programs.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 14


Table 14. Population 60 Years+ At or Below 150% Poverty <strong>in</strong> Region 1-A by Community, 1999<br />

Number<br />

Share <strong>of</strong><br />

Region<br />

Region 1-A 42,530<br />

Detroit city 39,315 92.4<br />

Grosse Po<strong>in</strong>te city 90 0.2<br />

Gross Po<strong>in</strong>te township 35 0.1<br />

Grosse Po<strong>in</strong>t Farms city 50 0.1<br />

Gross Po<strong>in</strong>te Park city 85 0.2<br />

Gross Po<strong>in</strong>t Woods city 185 0.4<br />

Hamtramck city 1,041 2.4<br />

Harper Woods city 420 1.0<br />

Highland Park city 1,308 3.1<br />

Liv<strong>in</strong>g Arrangements<br />

Three out <strong>of</strong> every ten households <strong>in</strong> the region have at least one person 60 years and<br />

over as a member. The share ranges between 29 and 39 percent across eight <strong>of</strong> the<br />

communities, with Grosse Po<strong>in</strong>te Shores village be<strong>in</strong>g the outlier at 53.4 percent. When<br />

a household conta<strong>in</strong>s at least one person 60+, there is a 4 <strong>in</strong> 10 chance (39.2 percent) that<br />

it will be a one-person household. This rate is highest <strong>in</strong> Hamtramck, Harper Woods and<br />

Highland Park where it reaches 1 out <strong>of</strong> 2, and lowest <strong>in</strong> Grosse Po<strong>in</strong>te Shores where the<br />

high ratio <strong>of</strong> elderly tend to live <strong>in</strong> married-couple units.<br />

A further analysis <strong>of</strong> liv<strong>in</strong>g arrangements for persons 65+ and 75+ (see Table 15) shows a<br />

correlation between <strong>in</strong>creas<strong>in</strong>g age and the percent that live alone. While 39 percent <strong>of</strong><br />

households with persons 60 years and over are one-person households, the share rises to<br />

41 percent at 65+ and 44 percent at 75+. While this is a significant percentage, it needs<br />

to be emphasized that more than at least 60 percent <strong>of</strong> persons 60+ and 56 percent <strong>of</strong><br />

persons 75+ share their household with at least one other person.<br />

Table 15. Liv<strong>in</strong>g Arrangements <strong>of</strong> 60+ <strong>in</strong> Region 1-A by Community, 2000<br />

Total<br />

Households<br />

With 1 or<br />

more persons<br />

60+<br />

Percent <strong>of</strong><br />

Total<br />

Households<br />

60+ Liv<strong>in</strong>g<br />

alone<br />

Percent <strong>of</strong><br />

60+<br />

Region 1-A Total 375,509 111,602 29.7 43,714 39.2<br />

Detroit city 336,428 97,725 29.0 37,874 38.8<br />

Grosse Po<strong>in</strong>te city 2,388 842 35.3 375 44.5<br />

Grosse Po<strong>in</strong>te Farms city 3,804 1,493 39.2 513 34.4<br />

Grosse Po<strong>in</strong>te Park city 4,816 1,267 26.3 428 33.8<br />

Grosse Po<strong>in</strong>te Shores 1,018 544 53.4 138 25.4<br />

Grosse Po<strong>in</strong>te Woods city 6,531 2,503 38.3 800 32.0<br />

Hamtramck city 8,033 2,539 31.6 1,247 49.1<br />

Harper Woods city 6,292 2,317 36.8 1,158 50.0<br />

Highland Park city 6,199 2,372 38.3 1,181 49.8<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 15


One community that needs to be looked at more closely is Highland Park. Previous data<br />

demonstrated that its elderly residents had the highest need, based on high levels <strong>of</strong><br />

poverty. Table 15 shows that half <strong>of</strong> all age categories are also liv<strong>in</strong>g alone.<br />

Table 16. Liv<strong>in</strong>g Arrangements by Detailed Age Group <strong>in</strong> Region 1-A, 2000<br />

60+ Liv<strong>in</strong>g<br />

alone<br />

Percent <strong>of</strong><br />

60+<br />

65+ Liv<strong>in</strong>g<br />

alone<br />

Percent <strong>of</strong><br />

65+<br />

75+ Liv<strong>in</strong>g<br />

alone<br />

Percent <strong>of</strong><br />

75+<br />

Region 1-A Total 43,714 39.2 35,891 40.6 19,330 44.0<br />

Detroit city 37,874 38.8 30,824 40.1 16,185 43.2<br />

Grosse Po<strong>in</strong>te city 375 44.5 330 48.7 212 53.3<br />

Grosse Po<strong>in</strong>te Farms city 513 34.4 458 37.1 274 42.4<br />

Grosse Po<strong>in</strong>te Park city 428 33.8 364 36.6 213 42.3<br />

Grosse Po<strong>in</strong>te Shores 138 25.4 124 28.2 81 37.7<br />

Grosse Po<strong>in</strong>te Woods city 800 32.0 705 33.6 461 38.5<br />

Hamtramck city 1,247 49.1 1,065 51.4 690 55.9<br />

Harper Woods city 1,158 50.0 1,056 51.2 741 54.8<br />

Highland Park city 1,181 49.8 965 50.0 473 52.1<br />

People who do not reside <strong>in</strong> households live <strong>in</strong> group quarters. The most frequent form <strong>of</strong><br />

group quarters arrangement for seniors is that <strong>of</strong> nurs<strong>in</strong>g homes. Region 1-A had a total<br />

<strong>of</strong> 5,256 seniors (65+) liv<strong>in</strong>g <strong>in</strong> group quarters <strong>in</strong> 2000. Nurs<strong>in</strong>g homes accounted for 81<br />

percent <strong>of</strong> group quarters residents and the City <strong>of</strong> Detroit accounted for 89 percent <strong>of</strong> the<br />

total group quarters population.<br />

Table 17. Group Quarters Population, 65 Years and Over, <strong>in</strong> Region 1-A, 2000<br />

Total<br />

Institutional Correctional<br />

Institutions<br />

Nurs<strong>in</strong>g<br />

Homes<br />

Non-<br />

Institutional<br />

Region 1-A Total 5,256 4,359 33 4,265 897<br />

Detroit city 4,696 3,822 30 3,733 874<br />

Grosse Po<strong>in</strong>te city 0 0 0 0 0<br />

Grosse Po<strong>in</strong>te Farms city 0 0 0 0 0<br />

Grosse Po<strong>in</strong>te Park city 2 0 0 0 2<br />

Grosse Po<strong>in</strong>te Shores 0 0 0 0 0<br />

Grosse Po<strong>in</strong>te Woods city 62 58 0 58 4<br />

Hamtramck city 199 193 3 190 6<br />

Harper Woods city 130 124 0 124 6<br />

Highland Park city 167 162 0 160 5<br />

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SECTOR ANALYSIS<br />

In 1997 the City <strong>of</strong> Detroit launched a community-wide effort called the Community<br />

Re<strong>in</strong>vestment Strategy (CRS). This effort divided the city <strong>in</strong>to 10 sectors (see Map<br />

Appendix), as recommended by a previous land use task force study, and brought<br />

together people who either worked or lived <strong>in</strong> these sectors to construct development<br />

plans. These 10 sectors have cont<strong>in</strong>ued to be used for plann<strong>in</strong>g purposes and service<br />

delivery (i.e. the Health Department has moved its structure from Health Plann<strong>in</strong>g Areas<br />

to CRS sectors).<br />

The Detroit Area Agency on Ag<strong>in</strong>g, recogniz<strong>in</strong>g the importance <strong>of</strong> these sectors to the<br />

City <strong>of</strong> Detroit, has chosen to use this geography as one <strong>of</strong> their levels <strong>of</strong> analysis 7 . In<br />

order to br<strong>in</strong>g the rest <strong>of</strong> Region 1-A’s territory <strong>in</strong>to this analysis, two additional sectors<br />

have been identified – one that comb<strong>in</strong>es Hamtramck and Highland Park, and the other<br />

that <strong>in</strong>cludes the five Grosse Po<strong>in</strong>tes and Harper Woods.<br />

Population Trends<br />

Only 1 <strong>of</strong> the 12 sectors experienced growth over the decade. Sector 9, located <strong>in</strong> the<br />

near northwest area <strong>of</strong> the City grew by 9.9 percent – approximately 1,300 people. This<br />

resulted <strong>in</strong> an <strong>in</strong>crease <strong>in</strong> its share <strong>of</strong> Region 1-A’s population from 6.7 percent to 9.5<br />

percent. Sector 10, situated just to the north <strong>of</strong> Sector 9, experienced the smallest loss <strong>of</strong><br />

the decade – 1.8 percent, or 230 people. The other two sectors on the city’s west side,<br />

Sectors 7 and 8, experienced much larger losses but still fell below the citywide average.<br />

Table 18. Population 60 Years and Over by Sector,* 1990 – 2000<br />

Sectors<br />

1990 2000 Percent Change, 1990-2000<br />

Population 60 years and Over<br />

Share <strong>of</strong><br />

Number<br />

Region<br />

Population 60 years and Over<br />

Share <strong>of</strong><br />

Number<br />

Region<br />

Number <strong>of</strong><br />

Persons 60+<br />

Share <strong>of</strong><br />

Region<br />

1 17,639 9.2% 12,858 8.7% -27.1% -0.5%<br />

2 13,882 7.3% 8,238 5.6% -40.7% -1.7%<br />

3 23,246 12.1% 17,306 11.7% -25.6% -0.4%<br />

4 18,931 9.9% 12,535 8.5% -33.8% -1.4%<br />

5 15,716 8.2% 10,635 7.2% -32.3% -1.0%<br />

6 23,657 12.4% 16,497 11.2% -30.3% -1.2%<br />

7 17,469 9.1% 14,151 9.6% -19.0% 0.4%<br />

8 10,883 5.7% 9,343 6.3% -14.2% 0.6%<br />

9 12,776 6.7% 14,047 9.5% 9.9% 2.8%<br />

10 13,020 6.8% 12,790 8.7% -1.8% 1.9%<br />

11 8,327 4.4% 6,397 4.3% -23.2% 0.0%<br />

12 15,878 8.3% 13,009 8.8% -18.1% 0.5%<br />

Region Totals 191,424 147,806 -22.8%<br />

* The sector designation recognizes the 10 Detroit CRS Sectors. Sector 11 is comprised <strong>of</strong> Hamtramck and Highland<br />

Park. Sector 12 encompasses the 5 Grosse Po<strong>in</strong>tes and Harper Woods.<br />

7<br />

While this analysis will further dissect the City <strong>of</strong> Detroit <strong>in</strong>to its subcommunities and census tracts -<br />

both <strong>of</strong> which allow for more detailed target<strong>in</strong>g – sectors provide a unit <strong>of</strong> analysis, <strong>in</strong> terms <strong>of</strong> both<br />

population and land area, which is ideal for the structur<strong>in</strong>g <strong>of</strong> service delivery.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 17


The east side <strong>of</strong> the City experienced very different results. Sectors 1, 2 and 3 all lost<br />

better than one-forth <strong>of</strong> their senior population, as did Sector 4, which encompasses the<br />

downtown core. Significant losses also occurred <strong>in</strong> Sector 5 <strong>in</strong> southwest Detroit, where<br />

an <strong>in</strong>creas<strong>in</strong>gly younger Hispanic population is replac<strong>in</strong>g older residents, and <strong>in</strong> Sector 6<br />

<strong>in</strong> the central corridor <strong>of</strong> the city. Because the percentage loss <strong>in</strong> each <strong>of</strong> these areas<br />

exceeded that <strong>of</strong> the region as a whole, their shares <strong>of</strong> the regional total also fell. While<br />

significant losses also occurred <strong>in</strong> the non-Detroit Sectors 11 and 12, the percentage loss<br />

<strong>in</strong> 11 mirrored that <strong>of</strong> the region, thus leav<strong>in</strong>g its share unchanged, while that <strong>in</strong> 12 was<br />

less than that <strong>of</strong> the region lead<strong>in</strong>g to <strong>in</strong>crease <strong>in</strong> its share from 8.3 to 8.8 percent.<br />

While the significant losses that occurred on the east side <strong>of</strong> Detroit resulted <strong>in</strong> losses for<br />

each <strong>of</strong> the cohorts (see Table 19), the losses decreased <strong>in</strong> the older cohorts, and <strong>in</strong> some<br />

cases were quite m<strong>in</strong>imal. In sectors where the overall loss was not as great, <strong>in</strong>creas<strong>in</strong>g<br />

numbers occurred <strong>in</strong> some <strong>of</strong> the older cohorts. These trends re<strong>in</strong>force the regional trend<br />

discussed earlier that Region 1-A’s population, while decreas<strong>in</strong>g, has become older and<br />

more needy.<br />

Table 19. Percent Change <strong>in</strong> the Population 60 Years and Over, by Detailed Age Cohort, by Sector,<br />

1990 - 2000<br />

Sectors 60 to 64 65 to 69 70 to 74 75 to 79 80 to 84 85+<br />

1 -32.1 -39.5 -28.9 -18.4 -5.4 -1.7<br />

2 -30.6 -47.0 -45.3 -40.4 -38.9 -41.5<br />

3 -37.9 -39.8 -20.2 -12.6 -8.0 -9.0<br />

4 -34.2 -43.1 -35.4 -26.9 -28.9 -22.8<br />

5 -40.1 -44.5 -29.9 -20.1 -9.7 -16.7<br />

6 -49.9 -47.1 -22.6 -9.9 2.8 -6.0<br />

7 -26.9 -34.3 -21.3 -5.1 25.9 2.8<br />

8 -10.5 -22.0 -7.1 -7.1 -10.6 -29.6<br />

9 -2.4 4.0 23.0 30.2 30.2 -0.4<br />

10 -25.1 -15.3 9.6 38.6 45.5 13.8<br />

11 -30.0 -41.5 -32.3 -15.7 23.4 16.1<br />

12 -36.8 -38.9 -11.4 6.9 10.1 2.9<br />

Region Totals -31.1 -35.5 -20.3 -9.5 -1.5 -9.7<br />

M<strong>in</strong>ority Trends<br />

A more detailed look at the racial/ethnic dynamics <strong>of</strong> the population trends reveals the<br />

fact that the losses occurred disproportionately among the White population. While all<br />

sectors experienced a loss <strong>of</strong> Whites, losses exceeded 50 percent <strong>in</strong> Sectors 1 through 9.<br />

Though this report will not describe each sector’s change <strong>in</strong> detail (Table 20 provides that<br />

<strong>in</strong>formation), the specific changes that occurred <strong>in</strong> two <strong>of</strong> the sectors, 2 and 9, are<br />

illustrative <strong>of</strong> the trends occurr<strong>in</strong>g throughout the region. Sector 2, <strong>in</strong> the northeast<br />

corner <strong>of</strong> Detroit, led all others <strong>in</strong> population loss over the decade. The racial trends<br />

show that this loss occurred totally <strong>in</strong> the White population. Almost 7,500 fewer white<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 18


seniors lived <strong>in</strong> Sector 2 <strong>in</strong> 2000 than <strong>in</strong> 1990 – a decrease <strong>of</strong> 72 percent. This loss was<br />

partially <strong>of</strong>fset by an <strong>in</strong>crease (1,844, or 54%) <strong>in</strong> m<strong>in</strong>ority population – primarily<br />

African-American. This sector, above all others, demonstrates the chang<strong>in</strong>g racial<br />

composition <strong>of</strong> Region 1-A’s senior population. Sector 9, the only sector to show<br />

population ga<strong>in</strong>, shared common trends with Sector 2, as it also lost white seniors but<br />

ga<strong>in</strong>ed enough m<strong>in</strong>ority seniors, enough <strong>in</strong> its case to overcome that loss. The white<br />

population loss, <strong>in</strong> percentage terms, was second only to Sector 2 at 63.5 percent.<br />

However, the m<strong>in</strong>ority population <strong>in</strong>crease <strong>of</strong> 22.6 percent (2,466 persons) resulted <strong>in</strong> an<br />

overall population ga<strong>in</strong>.<br />

Table 20. Change <strong>in</strong> the Population 60 Years and Over, by Race, by Sector, 1990 - 2000<br />

Sectors<br />

M<strong>in</strong>ority M<strong>in</strong>ority<br />

M<strong>in</strong>ority 60+ White 60+<br />

75+ 85+<br />

White<br />

75+<br />

White<br />

85+<br />

1 -535 -5.0 527 130 -4,246 -60.8 -1,121 -149<br />

2 1,844 53.7 494 50 -7,488 -71.6 -2,345 -499<br />

3 -2,019 -12.7 762 318 -3,921 -53.5 -1,584 -515<br />

4 -4,140 -27.6 -1,094 -149 -2,256 -57.0 -676 -236<br />

5 -84 -1.4 384 18 -4,997 -52.3 -1,133 -178<br />

6 -6,808 -29.6 -183 -20 -352 -55.8 -217 -89<br />

7 1,430 17.7 797 101 -4,748 -50.7 -565 -73<br />

8 2,474 62.3 850 253 -4,014 -58.1 -1,384 -582<br />

9 2,466 22.6 1,214 172 -1,195 -63.5 -498 -175<br />

10 161 1.3 1,261 170 -391 -41.4 -191 -73<br />

11 -100 -2.8 185 104 -1,830 -39.0 -140 -7<br />

12 320 415.6 68 23 -3,207 -20.2 291 13<br />

Region Totals -4,991 -4.4 5,265 1,170 -38,645 -49.2 -9,563 -2,563<br />

Poverty Trends<br />

Table 21 shows that the total number <strong>of</strong> poor <strong>in</strong> Region 1-A decreased over the decade by<br />

almost 10,000 persons, or 28 percent 8 . This percentage loss was just slightly higher than<br />

that <strong>of</strong> total population loss <strong>in</strong> the 60+ category, as a result <strong>of</strong> the decrease <strong>in</strong> the region’s<br />

overall poverty rate from 19.0 to 17.7 percent. The poverty rate <strong>in</strong> 1989 varied greatly<br />

across sectors – rang<strong>in</strong>g from 3.6 percent <strong>in</strong> Sector 12 (the Grosse Po<strong>in</strong>tes) to 35.4<br />

percent <strong>in</strong> Sector 4, which covers Detroit’s downtown. Three sectors – 3, 4 and 6 –<br />

together accounted for almost half <strong>of</strong> the poor seniors <strong>in</strong> the region.<br />

The Region’s drop <strong>in</strong> poverty among seniors was not reflected <strong>in</strong> all sectors. In fact, only<br />

six sectors experienced decreases <strong>in</strong> poverty, while six experienced <strong>in</strong>creases. The<br />

rank<strong>in</strong>g <strong>of</strong> Sector 12 as lowest and Sector 2 as highest held, though the gap between them<br />

decreased slightly. The largest decrease occurred <strong>in</strong> Sector 4, which, while rema<strong>in</strong><strong>in</strong>g the<br />

sector with the highest percentage <strong>of</strong> seniors <strong>in</strong> poverty, saw its rate drop from 35.4 to<br />

29.8 percent. Sector 9 came next with a decrease <strong>of</strong> 2.4 percentage po<strong>in</strong>ts, from 17.8 to<br />

15.4. The greatest <strong>in</strong>creases were experienced <strong>in</strong> Sectors 1 and 2. In spite <strong>of</strong> <strong>in</strong>creases <strong>in</strong><br />

poverty rates <strong>in</strong> half the sectors, the number <strong>of</strong> seniors <strong>in</strong> poverty decreased <strong>in</strong> all sectors.<br />

8 The poverty data for 1999 represent an estimate prepared by the author. Because the Census Bureau did<br />

not tabulate poverty for persons 60+, an allocation was made to the 55-64 years <strong>in</strong> poverty category based<br />

on each sector’s share <strong>of</strong> the 55-64 years cohort that fell between 60 and 64 years <strong>of</strong> age.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 19


The largest numerical decrease, 3,037, occurred <strong>in</strong> Sector 4, while Sectors 6 and 3 also<br />

experienced large decl<strong>in</strong>es – 1,832 and 1,406, respectively.<br />

Table 21. Population 60 Years and Over <strong>in</strong> Poverty by Sector, 1989 - 1999<br />

Sectors<br />

Total<br />

Persons<br />

Poverty <strong>in</strong> 1989 Poverty <strong>in</strong> 1999<br />

Above Below Percent Total Above Below<br />

Poverty poverty below Persons Poverty poverty<br />

Percent<br />

below<br />

1 17,335 14,198 3,137 18.1% 12,640 10,101 2,539 20.1%<br />

2 13,416 11,497 1,919 14.3% 8,179 6,862 1,317 16.1%<br />

3 21,735 16,460 5,275 24.3% 15,968 12,099 3,869 24.2%<br />

4 18,661 12,062 6,599 35.4% 11,969 8,406 3,562 29.8%<br />

5 15,799 12,626 3,173 20.1% 10,723 8,537 2,186 20.4%<br />

6 23,106 17,958 5,148 22.3% 16,083 12,767 3,316 20.6%<br />

7 17,134 14,641 2,493 14.6% 13,866 11,781 2,085 15.0%<br />

8 10,043 8,609 1,434 14.3% 8,852 7,555 1,298 14.7%<br />

9 11,882 9,762 2,120 17.8% 13,726 11,616 2,110 15.4%<br />

10 12,908 11,409 1,499 11.6% 12,720 11,435 1,285 10.1%<br />

11 8,000 6,025 1,975 24.7% 6,046 4,516 1,531 25.3%<br />

12 15,871 15,294 577 3.6% 12,781 12,341 440 3.4%<br />

Region Totals 185,890 150,541 35,349 19.0% 143,552 118,016 25,537 17.8%<br />

As the State <strong>of</strong> <strong>Michigan</strong> uses 150% <strong>of</strong> poverty as a criterion <strong>of</strong> need, the author has<br />

extended the estimates <strong>of</strong> poverty to <strong>in</strong>clude poverty ratios. Table 22 provides an<br />

analysis <strong>of</strong> the population 60+ with regard to the ratio <strong>of</strong> their <strong>in</strong>come to the poverty<br />

threshold. This table brackets the poverty data from Table 21 by <strong>in</strong>clud<strong>in</strong>g the population<br />

fall<strong>in</strong>g below 50 percent <strong>of</strong> poverty (extreme poverty) and end<strong>in</strong>g with the population at<br />

150% <strong>of</strong> poverty. While reflect<strong>in</strong>g the same trends as were seen <strong>in</strong> Table 20, one is able<br />

to see <strong>in</strong> more detail the degree <strong>of</strong> poverty that exists <strong>in</strong> Region 1-A. Of particular note<br />

are Sectors 3, 4 and 11 where well over 1/3 <strong>of</strong> all seniors (almost half <strong>in</strong> Sector 4) fall<br />

below 150% <strong>of</strong> poverty.<br />

Table 22. Percent <strong>of</strong> the Population 60+ by Ratio to Poverty by Sector, 1999<br />

Sectors<br />

Total Persons<br />

65+<br />

Percent <strong>of</strong> Persons Less than _ % <strong>of</strong> Poverty<br />

50 75 100 125 150<br />

1 12,640 7.7 12.1 20.1 27.6 33.4<br />

2 8,179 5.7 9.8 16.1 21.6 27.3<br />

3 15,968 8.3 14.4 24.2 31.5 38.1<br />

4 11,969 8.7 17.6 29.8 39.6 45.7<br />

5 10,723 8.1 13.4 20.4 27.1 34.0<br />

6 16,083 8.2 13.2 20.6 27.3 33.5<br />

7 13,866 5.6 9.2 15.0 20.5 27.1<br />

8 8,852 5.6 8.5 14.7 19.9 24.4<br />

9 13,726 5.5 9.0 15.4 20.5 25.8<br />

10 12,720 3.6 6.1 10.1 14.5 18.0<br />

11 6,046 8.7 14.4 25.3 32.0 38.6<br />

12 12,781 1.3 2.3 3.4 4.6 6.4<br />

Region Totals 143,552 6.4 10.8 17.8 23.7 29.2<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 20


Now that we have looked at the fundamental demographic and socioeconomic patterns <strong>of</strong><br />

Region 1-A’s population by sector, it is time to highlight other characteristics 9 .<br />

Liv<strong>in</strong>g Arrangements<br />

Table 22 describes the liv<strong>in</strong>g arrangements <strong>of</strong> the 60+ population. The most important<br />

characteristic, from a service/need standpo<strong>in</strong>t, is the degree to which the population is<br />

liv<strong>in</strong>g alone. Liv<strong>in</strong>g alone is <strong>of</strong>ten associated with poverty, disability and other<br />

characteristics that translate to a higher need for services. The correlation between liv<strong>in</strong>g<br />

alone and poverty is quite clearly illustrated by the fact that our highest poverty sectors, 4<br />

and 11, also conta<strong>in</strong> the highest proportions <strong>of</strong> seniors liv<strong>in</strong>g alone.<br />

Table 23. Liv<strong>in</strong>g Arrangements <strong>of</strong> the Population 60+ by Sector, 2000<br />

Sectors<br />

Households<br />

with 1 or<br />

more persons<br />

60 years+<br />

Liv<strong>in</strong>g<br />

Alone<br />

Number <strong>of</strong> Households<br />

In 2 or<br />

more<br />

person<br />

household<br />

Family<br />

household<br />

Non-family<br />

household<br />

Liv<strong>in</strong>g<br />

Alone<br />

Percent <strong>of</strong> Households<br />

In 2 or<br />

more<br />

person<br />

household<br />

Family<br />

household<br />

Non-family<br />

household<br />

1 9,848 3,444 6,404 6,037 367 35.0 65.0 61.3 3.7<br />

2 6,549 1,966 4,583 4,324 259 30.0 70.0 66.0 4.0<br />

3 12,550 5,367 7,183 6,631 552 42.8 57.2 52.8 4.4<br />

4 10,130 6,284 3,846 3,355 491 62.0 38.0 33.1 4.8<br />

5 8,233 3,106 5,127 4,763 364 37.7 62.3 57.9 4.4<br />

6 12,544 5,078 7,466 6,944 522 40.5 59.5 55.4 4.2<br />

7 10,772 3,795 6,977 6,627 350 35.2 64.8 61.5 3.2<br />

8 6,945 2,494 4,451 4,199 252 35.9 64.1 60.5 3.6<br />

9 10,710 3,373 7,337 6,987 350 31.5 68.5 65.2 3.3<br />

10 9,444 2,967 6,477 6,231 246 31.4 68.6 66.0 2.6<br />

11 4,911 2,428 2,483 2,300 183 49.4 50.6 46.8 3.7<br />

12 8,991 3,420 5,571 5,420 151 38.0 62.0 60.3 1.7<br />

Region Totals 111,627 43,722 67,905 63,818 4,087 39.2 60.8 57.2 3.7<br />

When a person does not live <strong>in</strong> a house or apartment (an occupied hous<strong>in</strong>g unit or<br />

household, as def<strong>in</strong>ed by the Census), he/she is said to live <strong>in</strong> group quarters. While the<br />

Census Bureau did not tabulate the group quarters population for 60 years and above,<br />

they did tabulate it for 65 and above. Table 24 provides the detail by sector. The<br />

majority <strong>of</strong> sectors, with the exception <strong>of</strong> 2 and 5, have a fairly large number <strong>of</strong> group<br />

quarters – primarily nurs<strong>in</strong>g homes – population. The heaviest concentration is <strong>in</strong> Sector<br />

3 on the lower east side <strong>of</strong> Detroit, where the concentration <strong>of</strong> nurs<strong>in</strong>g home facilities<br />

along E. Grand Blvd. gives this sector 31 percent <strong>of</strong> the group quarters total. As would<br />

be expected, females account for 65 to 70 percent <strong>of</strong> the total group quarters population.<br />

9 The data highlighted <strong>in</strong> the report are <strong>in</strong>cluded <strong>in</strong> the detailed appendix tables. These tables also conta<strong>in</strong><br />

additional data that were viewed to be beyond the scope <strong>of</strong> the written report.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 21


Table 24. Population 65+ Liv<strong>in</strong>g <strong>in</strong> Group Quarters by Sector, 2000<br />

Sectors<br />

Total Group<br />

Qtrs<br />

Population<br />

Institutional<br />

GQ<br />

Nurs<strong>in</strong>g<br />

homes<br />

Non<strong>in</strong>stitutional<br />

GQ<br />

Nurs<strong>in</strong>g<br />

homes (%<br />

female)<br />

1 268 257 238 11 55.9<br />

2 116 96 96 20 46.9<br />

3 1,614 1,173 1,171 441 70.5<br />

4 658 457 415 201 51.3<br />

5 32 0 0 32 0.0<br />

6 543 480 454 63 73.3<br />

7 359 321 321 38 66.7<br />

8 645 600 600 45 72.5<br />

9 291 278 278 13 65.1<br />

10 170 160 160 10 61.9<br />

11 366 355 350 11 71.1<br />

12 194 182 182 12 69.8<br />

Region Totals 5,256 4,359 4,265 897 66.4<br />

Hous<strong>in</strong>g Trends<br />

Table 25 returns to the elderly population liv<strong>in</strong>g <strong>in</strong> households and focuses on<br />

householders and tenure. While older householders are more likely to own their home,<br />

rather than rent, there are obviously areas <strong>in</strong> the region where this is less likely the case.<br />

Look<strong>in</strong>g at the table <strong>in</strong> detail shows us that, while ownership rates for all age groups tend<br />

to run <strong>in</strong> the 75 percent and over range, the sectors <strong>in</strong> which we have previously<br />

recognized issues <strong>of</strong> poverty and liv<strong>in</strong>g alone also show up as low ownership areas.<br />

Highlight<strong>in</strong>g Sector 4 once aga<strong>in</strong>, we see that no group exceeds a 34 percent ownership<br />

rate. This stands out <strong>in</strong> sharp contrast even with Sector 11 that has high rates <strong>of</strong> poverty<br />

and liv<strong>in</strong>g alone but ownership rates <strong>of</strong> better than 50 percent across all age groups.<br />

Table 25. Homeownership Rates by Age by Sector, 2000<br />

Sectors<br />

Percent Homeowners<br />

55-64 years 65-74 years 75-84 years 85+ years<br />

1 75.8 84.1 87.4 88.1<br />

2 76.5 82.2 88.2 89.1<br />

3 63.2 67.6 69.7 63.0<br />

4 27.1 30.1 33.7 32.7<br />

5 64.4 74.3 81.1 80.6<br />

6 52.2 68.9 73.8 71.9<br />

7 77.3 84.5 88.3 88.0<br />

8 80.5 77.4 77.2 73.4<br />

9 82.2 82.0 78.1 66.9<br />

10 82.0 88.7 88.5 83.4<br />

11 52.7 56.7 66.3 59.2<br />

12 91.8 92.7 92.7 88.4<br />

Region Totals 69.7 73.9 76.2 71.3<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 2232


Look<strong>in</strong>g further at hous<strong>in</strong>g tenure, Table 26 allows one to determ<strong>in</strong>e the impact <strong>of</strong> seniors<br />

on the region’s hous<strong>in</strong>g market by show<strong>in</strong>g the share <strong>of</strong> owner- and renter-occupied<br />

hous<strong>in</strong>g that is headed by persons 55 years and over. As a way <strong>of</strong> illustrat<strong>in</strong>g the<br />

<strong>in</strong>formation that can be derived from this table, let us look at Sector 6 as an example.<br />

Sector 6 lies on the near northwest side <strong>of</strong> Detroit, with the Lodge Fwy. And the City <strong>of</strong><br />

Highland Park form<strong>in</strong>g its eastern boundary and I-94 on its southern boundary.<br />

Householders 65 years <strong>of</strong> age and above account for 48 percent <strong>of</strong> the owner-occupied<br />

hous<strong>in</strong>g and 14 percent <strong>of</strong> the rentals. When you add <strong>in</strong> the 55-64 years cohort the rates<br />

<strong>in</strong>crease to 63 and 24 percent, respectively. Such shares <strong>in</strong>dicate that the senior<br />

population represents a significant <strong>in</strong>vestment <strong>in</strong> this sector – one that a city <strong>in</strong> need <strong>of</strong> a<br />

strong owner-occupancy hous<strong>in</strong>g stock needs to support. Sector 2 provides a stark<br />

contrast. The data presented earlier demonstrated that Sector 2 experienced the largest<br />

loss <strong>of</strong> seniors. The tenure rates support this trend, as persons 65 years and over<br />

represent only 14.6 percent <strong>of</strong> the owners and 5 percent <strong>of</strong> the renters. Add<strong>in</strong>g <strong>in</strong> the 55-<br />

64 years cohort only <strong>in</strong>creases these rates to 21 and 11 percent, respectively.<br />

Table 26. Population 55+ By Tenure by Sector, 2000<br />

Sectors<br />

Percent <strong>of</strong> Total Owner Units<br />

Percent <strong>of</strong> Total Renter Units<br />

55-64 years 65-74 years 75-84 years 85+ years 55-64 years 65-74 years 75-84 years 85+ years<br />

1 16.5 16.2 12.3 3.2 7.7 4.5 2.6 0.6<br />

2 12.2 7.7 5.4 1.6 6.6 2.9 1.3 0.3<br />

3 14.8 15.1 11.7 3.3 9.5 8.0 5.6 2.2<br />

4 17.6 17.6 14.7 4.9 11.6 10.1 7.1 2.5<br />

5 13.8 15.2 12.7 3.3 8.1 5.6 3.1 0.8<br />

6 14.7 22.4 19.9 5.6 9.6 7.3 5.1 1.6<br />

7 15.4 13.2 9.7 2.2 7.7 4.1 2.2 0.5<br />

8 16.5 8.9 4.8 1.1 7.3 4.7 2.6 0.7<br />

9 20.9 15.6 7.1 1.3 8.4 6.3 3.7 1.2<br />

10 19.8 20.5 12.4 2.3 10.0 6.0 3.7 1.1<br />

11 14.3 15.0 15.0 4.2 10.5 9.3 6.2 2.4<br />

12 14.7 13.7 12.8 3.8 8.3 6.8 6.4 3.1<br />

Disability Status<br />

The 2000 Census <strong>in</strong>cluded “disability questions” that were asked <strong>in</strong> the follow<strong>in</strong>g<br />

manner:<br />

16. Does this person have any <strong>of</strong> the follow<strong>in</strong>g long-last<strong>in</strong>g conditions:<br />

a. Bl<strong>in</strong>dness, deafness, or a severe vision or hear<strong>in</strong>g impairment?<br />

b. A condition that substantially limits one or more basic physical activities such as walk<strong>in</strong>g, climb<strong>in</strong>g<br />

stairs, reach<strong>in</strong>g, lift<strong>in</strong>g, or carry<strong>in</strong>g? Yes No<br />

17. Because <strong>of</strong> a physical, mental, or emotional condition last<strong>in</strong>g 6 months or more, does this person<br />

have any difficulty <strong>in</strong> do<strong>in</strong>g any <strong>of</strong> the follow<strong>in</strong>g activities:<br />

a. Learn<strong>in</strong>g, remember<strong>in</strong>g, or concentrat<strong>in</strong>g? Yes No<br />

b. Dress<strong>in</strong>g, bath<strong>in</strong>g, or gett<strong>in</strong>g around <strong>in</strong>side the home? Yes No<br />

c. (Answer if this person is 16 years old or over.) Go<strong>in</strong>g outside the home alone to shop or visit a doctor’s<br />

<strong>of</strong>fice? Yes No<br />

d. (Answer if this person is 16 years old or over.) Work<strong>in</strong>g at a job or bus<strong>in</strong>ess? Yes No<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 23


Table 27 provides data on the total number <strong>of</strong> yes responses gathered from persons 65<br />

years <strong>of</strong> age and over <strong>in</strong> Region 1-A. Table 28 allows for the isolation <strong>of</strong> persons<br />

report<strong>in</strong>g s<strong>in</strong>gle and multiple disabilities.<br />

Table 27. Disability Status <strong>of</strong> the Population 65+ by Sector, 2000<br />

Sectors<br />

Total<br />

disabilities<br />

tallied<br />

Percent Report<strong>in</strong>g by Type <strong>of</strong> Disability<br />

Sensory Physical Mental Self-care Go-outsidehome<br />

1 11,540 12.9 33.7 13.3 13.3 26.8<br />

2 6,303 13.1 34.3 11.7 13.2 27.7<br />

3 16,741 13.1 33.1 13.8 14.6 25.4<br />

4 11,698 13.1 34.4 12.0 14.5 25.9<br />

5 9,173 12.9 34.9 13.6 12.6 25.9<br />

6 15,279 12.9 33.5 13.5 14.0 26.1<br />

7 10,931 13.6 33.5 11.8 12.2 28.9<br />

8 6,555 13.1 35.3 13.1 12.9 25.7<br />

9 10,374 13.5 33.6 12.2 14.1 26.6<br />

10 9,020 10.5 34.0 13.6 13.0 29.0<br />

11 6,114 12.0 33.8 14.0 14.6 25.7<br />

12 6,581 15.9 34.5 11.6 12.7 25.3<br />

While the number <strong>of</strong> responses varied across the sectors, the general pattern <strong>of</strong> responses<br />

is quite similar. The disability most <strong>of</strong>ten acknowledged, represent<strong>in</strong>g 1/3 <strong>of</strong> responses <strong>in</strong><br />

each sector, was physical. This was followed by a limitation for go<strong>in</strong>g outside the home<br />

– represent<strong>in</strong>g ¼ <strong>of</strong> all responses <strong>in</strong> each sector. Sensory, self-care and mobility<br />

disabilities were each mentioned <strong>in</strong> the order <strong>of</strong> 10-15 percent <strong>of</strong> the time.<br />

A more detailed look at the responses given to the disability questions allows for a better<br />

understand<strong>in</strong>g <strong>of</strong> the health conditions <strong>of</strong> seniors across the 12 sectors.<br />

One might expect from the household structure and <strong>in</strong>come level that seniors <strong>in</strong> Sector 12<br />

would show themselves to be the healthiest <strong>in</strong> Region 1-A. The data <strong>in</strong> Table 28 show<br />

this to <strong>in</strong>deed be the case, as more than 2/3 <strong>of</strong> seniors reported no disability. This was 16<br />

percent higher than the next closest – Sector 10. In addition, when disabilities were<br />

reported, Sector 12 residents were more likely to list only one disability as opposed to<br />

multiples. Elderly residents <strong>of</strong> Sectors 3, 4 and 11 reported the highest share <strong>of</strong> persons<br />

hav<strong>in</strong>g at least one disability, and led all others <strong>in</strong> the share <strong>of</strong> seniors list<strong>in</strong>g multiple<br />

disabilities. These results also track with the higher levels <strong>of</strong> poverty and liv<strong>in</strong>g alone<br />

that were reported previously for these sectors.<br />

I all sectors, persons respond<strong>in</strong>g with only one disability were most likely to identify it as<br />

physical or related to go<strong>in</strong>g outside the home. Another common thread across the vast<br />

majority <strong>of</strong> the sectors was the higher percentage <strong>of</strong> persons with multiple disabilities not<br />

<strong>in</strong>clud<strong>in</strong>g self-care as one <strong>of</strong> them.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 254


Table 28. Detailed Disability Report<strong>in</strong>g Rate <strong>of</strong> the Population 65+ by Sector, 2000<br />

Sectors<br />

No<br />

Disability*<br />

Persons Report<strong>in</strong>g One Disability<br />

Total*<br />

Go-<br />

Physical** outside-<br />

home**<br />

Persons Report<strong>in</strong>g 2 or More Disabilities<br />

Total* Includes<br />

Self-care**<br />

Does not <strong>in</strong>clude<br />

Self-care**<br />

1 43.3 23.6 10.8 8.7 33.0 15.5 17.5<br />

2 47.8 22.8 10.3 8.6 29.4 13.5 15.9<br />

3 39.9 24.6 13.0 7.4 35.5 18.8 16.7<br />

4 41.8 23.6 12.1 8.1 34.6 17.6 17.1<br />

5 46.9 22.0 11.7 6.9 31.1 13.7 17.4<br />

6 45.5 22.9 10.8 7.7 31.7 15.6 16.0<br />

7 47.8 24.6 10.7 9.8 27.6 12.3 15.3<br />

8 49.9 21.6 11.2 6.5 28.6 13.2 15.3<br />

9 48.8 22.4 10.5 8.5 28.8 14.4 14.4<br />

10 51.9 23.8 10.9 8.7 24.3 11.6 12.7<br />

11 42.9 20.8 10.8 6.8 36.2 18.0 18.3<br />

12 67.5 16.7 8.0 4.2 15.8 7.9 8.0<br />

Region Totals 47.8 22.6 10.9 7.7 29.6 14.4 15.2<br />

* Percent <strong>of</strong> all <strong>Senior</strong>s (65+) with<strong>in</strong> the designated geographic area.<br />

** Percent <strong>of</strong> <strong>Senior</strong>s (65+) with<strong>in</strong> specific disability category (one disability; two or more disabilities)<br />

Educational Atta<strong>in</strong>ment and Spoken Language<br />

The f<strong>in</strong>al table <strong>in</strong> this section looks at the educational atta<strong>in</strong>ment <strong>of</strong> the 65 years and over<br />

population. While the pattern is not a surprise, follow<strong>in</strong>g the patterns set up throughout<br />

this section, the range <strong>of</strong> differences across sectors is quite <strong>in</strong>formative. As would be<br />

expected, Sector 12 conta<strong>in</strong>s the most highly educated seniors with 81 percent graduat<strong>in</strong>g<br />

from high school and 33 percent hav<strong>in</strong>g at least a college diploma. S<strong>in</strong>ce a high school<br />

diploma was <strong>of</strong>ten the most that one needed to acquire a good pay<strong>in</strong>g job when the<br />

seniors were start<strong>in</strong>g out <strong>in</strong> the workforce, low levels <strong>of</strong> post-high school education are to<br />

be expected. Sector 10 and, to a lesser extent, Sector 4 show relatively high levels <strong>of</strong><br />

post-secondary education. Sector 5 <strong>in</strong> Southwest Detroit had the lowest rates <strong>of</strong><br />

education with only 36 percent graduat<strong>in</strong>g from high school and 3 percent receiv<strong>in</strong>g a<br />

college diploma. Consider<strong>in</strong>g many <strong>of</strong> the other results, one would not be likely to<br />

predict that seniors <strong>in</strong> Sector 5 would have the least education. However, when one<br />

realizes that this is a heavily Lat<strong>in</strong>o population with many <strong>of</strong> the seniors be<strong>in</strong>g Mexican<br />

immigrants, the lack <strong>of</strong> education becomes more understandable. Unfortunately, the<br />

issue <strong>of</strong> dropp<strong>in</strong>g out <strong>of</strong> high school and not go<strong>in</strong>g on to college cont<strong>in</strong>ues to be a<br />

problem <strong>in</strong> the Lat<strong>in</strong>o community – even with American-born youth. Lower levels <strong>of</strong><br />

education are also evident <strong>in</strong> those sectors where poverty is highest – 2 and 11.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 265


Table 29. Educational Atta<strong>in</strong>ment <strong>of</strong> the Population 65+ by Sector, 2000<br />

Sectors<br />

Percent High<br />

School Grad or<br />

higher<br />

Some College,<br />

no degree<br />

Percent College<br />

Grad or higher<br />

1 43.8 11.7 3.7<br />

2 43.9 10.1 3.3<br />

3 44.7 12.2 5.8<br />

4 44.5 11.8 12.3<br />

5 36.3 8.3 2.9<br />

6 47.3 14.8 8.4<br />

7 46.6 11.8 4.0<br />

8 52.8 13.0 10.5<br />

9 47.3 14.4 5.1<br />

10 63.4 19.7 17.3<br />

11 42.1 7.3 5.2<br />

12 81.3 19.9 33.3<br />

Region Totals 50.0 15.4 9.7<br />

The last variable we will look at is the language that the elderly speak at home and, if it is<br />

other than English, their perceived ability to speak English.<br />

Table 30. Language Spoken by the Population 65+ by Sector, 2000<br />

Sectors<br />

Persons 65<br />

years and<br />

over<br />

Only<br />

English<br />

Percent <strong>of</strong><br />

total<br />

Spanish<br />

Indo<br />

European<br />

Asian and<br />

Pacific<br />

Other<br />

% <strong>of</strong> Other<br />

Language<br />

Speakers who<br />

Speak English<br />

not well, not at<br />

all<br />

1 9,988 8,821 88.3 41 812 39 275 4.7<br />

2 6,018 5,429 90.2 21 455 91 22 2.2<br />

3 14,081 13,485 95.8 55 495 25 21 0.6<br />

4 9,822 9,349 95.2 191 157 72 53 1.0<br />

5 8,208 6,064 73.9 1,134 778 24 208 8.2<br />

6 13,630 13,374 98.1 94 122 32 8 0.3<br />

7 10,897 9,441 86.6 242 1,040 32 142 1.6<br />

8 6,925 6,548 94.6 69 240 6 62 0.8<br />

9 10,149 9,925 97.8 83 89 26 26 0.2<br />

10 9,940 9,670 97.3 127 83 33 27 0.4<br />

11 5,237 3,737 71.4 110 1,267 5 118 9.1<br />

12 10,529 9,274 88.1 100 1,035 11 109 2.0<br />

It is the general rule that at least 90 percent <strong>of</strong> the residents <strong>of</strong> each sector speak English<br />

at home. This is the case <strong>in</strong> all sectors with the exception <strong>of</strong> 5 and 11. As discussed <strong>in</strong><br />

the section on education, Sector 5’s elderly population conta<strong>in</strong>s a large number <strong>of</strong> Lat<strong>in</strong>o<br />

immigrants with little education. In addition, southwest Detroit also conta<strong>in</strong>s older<br />

eastern European immigrants and residents from the Middle East. These factors<br />

comb<strong>in</strong>ed to produce 26 percent <strong>of</strong> the elderly speak<strong>in</strong>g a language other than English<br />

and 8 percent <strong>of</strong> the total 65 years admitt<strong>in</strong>g to speak<strong>in</strong>g English less than well or not at<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 276


all. Region 11 had a larger percentage – 28.6 percent – speak<strong>in</strong>g another language and 9<br />

percent speak<strong>in</strong>g English less than well or not at all. This region conta<strong>in</strong>s Hamtramck,<br />

which, <strong>in</strong> addition to hav<strong>in</strong>g remnants <strong>of</strong> the older Polish-speak<strong>in</strong>g population still <strong>in</strong> the<br />

area, experienced population growth for the first time <strong>in</strong> decades dur<strong>in</strong>g the 1990’s due to<br />

large numbers <strong>of</strong> recent immigrants. These immigrants – from Bangladesh, India,<br />

Pakistan, Yemen, Bosnia, Serbia, and numerous other countries – have brought back the<br />

flavor the city had <strong>in</strong> the early 20 th Century.<br />

Conclusions and Recommendations<br />

The cumulative effects <strong>of</strong> a decreas<strong>in</strong>g senior population and decreas<strong>in</strong>g statewide shares<br />

<strong>of</strong> m<strong>in</strong>ority and poor seniors necessitate that the Detroit Area Agency on Ag<strong>in</strong>g will be<br />

required to provide services to a needier population with fewer resources. Such a fact<br />

makes it critical that services are provided <strong>in</strong> a targeted, efficient manner.<br />

While provid<strong>in</strong>g the context for view<strong>in</strong>g seniors <strong>in</strong> PSA 1-A, demographic analysis can<br />

only go so far. Additional secondary and primary data collection are necessary to fill out<br />

this context. Fortunately, such data collection has been performed. Health status<br />

<strong>in</strong>dicators have been compiled for the region and for sectors, and agency program<br />

participation data have been analyzed as well. The Institute <strong>of</strong> Gerontology at <strong>Wayne</strong><br />

State University conducted a large-scale survey <strong>of</strong> seniors <strong>in</strong> Detroit and has produced a<br />

citywide analysis, as well as limited sector analyses. It is recommended that the survey<br />

responses be further analyzed at the sector level so as to provide the greatest amount <strong>of</strong><br />

<strong>in</strong>formation possible for these important, and diverse, sub-areas <strong>of</strong> the city.<br />

While each <strong>of</strong> these studies stands alone as an important component <strong>of</strong> the “picture” <strong>of</strong><br />

seniors <strong>in</strong> PSA 1-A, it is strongly recommended that they be brought together at both the<br />

region and sector level so that the picture conta<strong>in</strong>s a “depth <strong>of</strong> field.” To the extent<br />

possible, sector-based pr<strong>of</strong>iles <strong>of</strong> seniors should be compiled. These pr<strong>of</strong>iles could then<br />

be used as the basis for program plann<strong>in</strong>g <strong>in</strong> the region.<br />

In summary, the Center for Urban Studies hopes that this work marks the beg<strong>in</strong>n<strong>in</strong>g <strong>of</strong> a<br />

cont<strong>in</strong>u<strong>in</strong>g relationship with DAAA as the agency works to understand the needs <strong>of</strong> its<br />

seniors <strong>in</strong> order to strategically plan its services.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-A 287


<strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> <strong>Wayne</strong> <strong>County</strong><br />

Implications for Fund<strong>in</strong>g and Service Delivery<br />

Section 3<br />

PSA 1-C Report<br />

Prepared for:<br />

The Detroit Area Agency on Ag<strong>in</strong>g<br />

Prepared by:<br />

<strong>Wayne</strong> State University Center for Urban Studies<br />

<strong>Michigan</strong> Metropolitan Information Center<br />

Funded by the U.S. Adm<strong>in</strong>istration on Ag<strong>in</strong>g through the<br />

<strong>County</strong> <strong>of</strong> <strong>Wayne</strong> Office <strong>of</strong> <strong>Senior</strong> Citizens Services<br />

June, 2004


Index to <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong><br />

Plann<strong>in</strong>g and Service Area 1-C Report<br />

Tables & Figures<br />

Table 1. Share <strong>of</strong> the State’s 60+ Population by Region<br />

Table 2. Trends <strong>in</strong> Total and Elderly Population <strong>in</strong> Region 1-C, 1970 - 2000<br />

Table 3. Trends <strong>in</strong> Selected Age Categories <strong>in</strong> Region 1-C, 1990 - 2000<br />

Table 4. Share <strong>of</strong> M<strong>in</strong>ority Population 60+ Years by Region, 1990 - 2000<br />

Table 5. Racial Distribution <strong>of</strong> Region 1-C’s Total and 60 + Years Populations,<br />

2000<br />

Table 6. Poverty Rate by Age Category, 1999<br />

Table 7. Trends <strong>in</strong> Poverty Rate <strong>of</strong> 60+ Population by Region, 1979 - 1999<br />

Table 8. Percent <strong>of</strong> the Population 65+ by Ratio to Poverty, by Region, 1999<br />

Table 9. Population 60+ Years At or Below 150% Poverty, by Region, 1999<br />

Table 10. Share <strong>of</strong> Persons 60 Years and Over Liv<strong>in</strong>g Alone by Region, 2000<br />

Table 11. Region 1-C’s 60+ Population by Community, 1980 - 2000<br />

Table 12. Region 1-C’s M<strong>in</strong>ority 60+ Population By Community, 2000<br />

Table 13. Ratio <strong>of</strong> Income to Poverty <strong>in</strong> Region 1-C by Community, 1999<br />

Table 14. Population 60+ Years At or Below 150% Poverty <strong>in</strong> Region 1-C by<br />

Community, 1999<br />

Table 15. Liv<strong>in</strong>g Arrangements <strong>of</strong> 60+ <strong>in</strong> Region 1-C by Community, 2000<br />

Table 16. Liv<strong>in</strong>g Arrangements by Detailed Age Group <strong>in</strong> Region 1-C, 2000<br />

Table 17. Group Quarters Population, 65 Years and Over, <strong>in</strong> Region 1-C, 2000<br />

Table 18. Percent Disability By Type for the Population 65+, <strong>in</strong> Region 1-C, 2000<br />

Table 19 Detailed Disability Status <strong>of</strong> the Population 65+, <strong>in</strong> Region 1-C, 2000<br />

Table 20. Educational Atta<strong>in</strong>ment <strong>of</strong> the Population 65+, <strong>in</strong> Region 1-C, 2000<br />

Table 21. Language Spoken by the Population 65+, <strong>in</strong> Region 1-C, 2000<br />

Table 22. Homeownership Rates by Age, <strong>in</strong> Region 1-C, 2000<br />

Table 23.<br />

Percent <strong>of</strong> the Population 55+, by Detailed Cohort, By Tenure, <strong>in</strong> Region<br />

1-C, 2000


A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C:<br />

Analysis <strong>of</strong> the 60+ Population<br />

Key F<strong>in</strong>d<strong>in</strong>gs<br />

While PSA 1-C’s overall population has experienced ga<strong>in</strong>s and losses over the last three<br />

decades, its senior population has seen a steady, though slow<strong>in</strong>g, <strong>in</strong>crease. This<br />

numerical growth translated to an <strong>in</strong>crease <strong>in</strong> PSA 1-C’s share <strong>of</strong> state seniors until 1990.<br />

Between 1990 and 2000, the region’s rate <strong>of</strong> ga<strong>in</strong> did not keep pace with that <strong>of</strong> the state<br />

and its overall share decl<strong>in</strong>ed for the first time.<br />

Share <strong>of</strong> State’s 60+ Population<br />

12.0<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

0.0<br />

1970 1980 1990 2000<br />

While the 60+ population <strong>of</strong> the region grew by only 1.4 percent, driven <strong>in</strong> large part by<br />

decreases <strong>in</strong> the ‘60-64 year’ and ‘65-74 year’ cohorts <strong>of</strong> 27 and 26 percent, respectively,<br />

75-84 year olds <strong>in</strong>creased their numbers by 45 percent and the ’85 years and over’ cohort<br />

grew by 38 percent. Such an ag<strong>in</strong>g <strong>of</strong> the senior population signals higher degrees <strong>of</strong><br />

need and <strong>in</strong>creased service delivery needs.<br />

The <strong>in</strong>crease <strong>in</strong> total number <strong>of</strong> seniors was accompanied by an <strong>in</strong>crease <strong>in</strong> the number <strong>of</strong><br />

m<strong>in</strong>ority seniors. This resulted <strong>in</strong> both an <strong>in</strong>crease <strong>in</strong> the m<strong>in</strong>ority share <strong>of</strong> PSA 1-C’s<br />

overall senior population between 1990 and 2000 (5.6 to 6.7 percent) and an <strong>in</strong>crease <strong>in</strong><br />

PSA 1-C’s share <strong>of</strong> the state’s m<strong>in</strong>ority population (5.2 to 5.9 percent). While African-<br />

Americans accounted for the majority <strong>of</strong> m<strong>in</strong>ority seniors with 64 percent, Lat<strong>in</strong>os<br />

represented a growth group, account<strong>in</strong>g for 20 percent, as did Asians with 16 percent.<br />

The multi-race category was new <strong>in</strong> the 2000 Census and accounted for 14 percent <strong>of</strong><br />

PSA 1-C’s m<strong>in</strong>ority senior population and 19 percent <strong>of</strong> its total population. These high<br />

shares can be attributed largely to the area’s Middle Eastern population – primarily Arab<br />

– who, <strong>of</strong>ten selected a standard race category – usually White – and added a write-<strong>in</strong><br />

response for the Other Race category. a<br />

a The <strong>Wayne</strong> <strong>County</strong> summary report provides further details on the Arab and Chaldean population counts.<br />

This group will become <strong>in</strong>creas<strong>in</strong>gly import for ag<strong>in</strong>g service delivery over the years to come. Discussions<br />

will need to be held with the State to determ<strong>in</strong>e how best to account for this population <strong>in</strong> future fund<strong>in</strong>g<br />

allocations.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 1


The State <strong>of</strong> <strong>Michigan</strong> measures the socioeconomic status <strong>of</strong> seniors by calculat<strong>in</strong>g each<br />

PSA’s share <strong>of</strong> seniors liv<strong>in</strong>g below 150% <strong>of</strong> the poverty threshold. 2000 Census<br />

tabulations did not allow for poverty status calculations for the population 60+, as tabular<br />

age breaks were set at 55-64, 65-74 and 75+. Calculations made by the author estimated<br />

a decreas<strong>in</strong>g rate <strong>of</strong> poverty (6.6 percent <strong>in</strong> 1989 and 6.1 percent <strong>in</strong> 1999) for seniors <strong>in</strong><br />

PSA 1-C. In spite <strong>of</strong> this decrease, overall trends across the State, and the <strong>in</strong>crease <strong>in</strong><br />

total seniors <strong>in</strong> the region, resulted <strong>in</strong> an estimated <strong>in</strong>crease <strong>in</strong> state share for the region<br />

from 7.2 to 8.1 percent. S<strong>in</strong>ce the Office <strong>of</strong> Services to the Ag<strong>in</strong>g (OSA) uses 150% <strong>of</strong><br />

poverty as their measure <strong>of</strong> socioeconomic distress, the author also made calculations <strong>of</strong><br />

this factor. Subsequent to these calculations, OSA requested that the Census Bureau<br />

produce a special tabulation at 150% <strong>of</strong> poverty. This special tabulation, essentially<br />

mirror<strong>in</strong>g the author’s tabulation, showed that PSA 1-A’s State share was 8.4 percent, a<br />

rise <strong>in</strong> share over the straight poverty level calculations.<br />

The results for PSA 1-C are mixed. While their overall share <strong>of</strong> the State’s senior<br />

population decreased over the decade, its share <strong>of</strong> both m<strong>in</strong>ority seniors and seniors at or<br />

below 150% <strong>of</strong> poverty <strong>in</strong>creased. The expectation is that f<strong>in</strong>al fund<strong>in</strong>g allocations<br />

should not show much change from the 1990-based fund<strong>in</strong>g.<br />

The rema<strong>in</strong>der <strong>of</strong> this report details a wide variety <strong>of</strong> characteristics for seniors <strong>in</strong> each<br />

community <strong>in</strong> PSA 1-C.<br />

The <strong>Senior</strong> Alliance ® (TSA) is a private non-pr<strong>of</strong>it agency that was established <strong>in</strong> 1980,<br />

and designated by the <strong>Michigan</strong> Commission on Services to the Ag<strong>in</strong>g to operate as the<br />

Area Agency on Ag<strong>in</strong>g (AAA) for the 34 suburban communities 1 <strong>in</strong> Southern and<br />

Western <strong>Wayne</strong> <strong>County</strong>. In order to analyze the agency’s population base (persons 60<br />

years and over), both with regard to current residential distribution and trends over time,<br />

we will look at both the region as a whole, <strong>in</strong> relation to the other 15 regions <strong>in</strong> the state,<br />

and its 34 component communities.<br />

1 The 34 communities are as follows: Allen Park, Belleville, Brownstown twp, Canton twp, Dearborn, Dearborn<br />

Heights, Ecorse, Flat Rock, Garden City, Gibraltar, Grosse Ile twp, Huron charter twp, Inkster, L<strong>in</strong>coln Park,<br />

Livonia, Melv<strong>in</strong>dale, Northville, Northville twp, Plymouth, Plymouth twp, Redford twp, River Rouge, Riverview,<br />

Rockwood, Romulus, Southgate, Sumpter twp, Taylor, Trenton, Van Buren twp, <strong>Wayne</strong>, Westland, Woodhaven,<br />

and Wyandotte<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 2


Total Population Trends<br />

At the State level we have analyzed Region 1-C <strong>in</strong> relation to the other 15 regions <strong>in</strong> the<br />

State. This analysis has concentrated on the major factors <strong>of</strong>: share <strong>of</strong> State’s population<br />

60 years and over; share <strong>of</strong> State’s m<strong>in</strong>ority population 60 years and over; share <strong>of</strong><br />

State’s population 60 years and over <strong>in</strong> poverty. The analysis has shown that, while<br />

<strong>in</strong>creases <strong>in</strong> the region’s 60+ population resulted <strong>in</strong> an <strong>in</strong>crease <strong>in</strong> State share between<br />

1970 and 1990 (from 8.2 to 11.2 percent), the growth dur<strong>in</strong>g the 1990s did not keep up<br />

with overall State growth and resulted <strong>in</strong> a decrease <strong>in</strong> share from 11.2 to 10.7 percent.<br />

(Table 1)<br />

Table 1. Share <strong>of</strong> the State’s 60+ Population by Region<br />

Region 1970 1980 1990 2000<br />

1-A 24.9 17.2 12.7 9.3<br />

1-B 17.9 21.8 24.7 26.3<br />

1-C 8.2 10.0 11.2 10.7<br />

2 3.2 3.2 3.2 3.2<br />

3-A 2.1 2.0 2.1 2.2<br />

3-B 2.3 2.2 2.2 2.1<br />

3-C 1.2 1.2 1.2 1.2<br />

4 3.4 3.4 3.4 3.3<br />

5 5.1 5.2 5.4 5.7<br />

6 3.5 3.4 3.5 3.7<br />

7 7.1 7.6 7.6 8.0<br />

8 8.4 8.6 8.5 8.8<br />

9 2.4 3.0 3.3 3.7<br />

10 2.5 2.8 3.0 3.5<br />

11 4.7 4.7 4.4 4.2<br />

14 3.3 3.6 3.8 4.1<br />

Table 2 shows population trends <strong>in</strong> Region 1-C, both total and just the 60 years and over<br />

population, from 1970 to 2000. The growth <strong>in</strong> State share that Region 1-C experienced<br />

dur<strong>in</strong>g the 1970s and 1980s can be easily understood by exam<strong>in</strong><strong>in</strong>g the percentage<br />

growth <strong>in</strong> the population 60 and over. While the region’s total population was <strong>in</strong>creas<strong>in</strong>g<br />

by only 0.3 percent dur<strong>in</strong>g the 1970s (3,307 persons), its elderly population grew by 47.1<br />

percent, add<strong>in</strong>g almost 42,000 to its 60 years and over total. This compared to a State<br />

<strong>in</strong>crease <strong>of</strong> less than half – 19.9 percent. The recession years <strong>of</strong> the 1980s hit <strong>Wayne</strong><br />

<strong>County</strong> very hard and led to a loss <strong>in</strong> Region 1-C’s total population. Nevertheless, the<br />

population 60 years and over cont<strong>in</strong>ued to grow, add<strong>in</strong>g almost 38,000 (28.9 percent) to<br />

its 1980 total. Once aga<strong>in</strong> this represented a rate <strong>of</strong> <strong>in</strong>crease nearly twice that <strong>of</strong> the State.<br />

The decade <strong>of</strong> the 1990s brought a reversal to these trends, and thus resulted <strong>in</strong> the first<br />

drop <strong>in</strong> State share. While the Region’s total population grew faster than <strong>in</strong> either <strong>of</strong> the<br />

previous two decades, add<strong>in</strong>g 127,000 persons or 2.8 percent, the population 60 years and<br />

over grew at half that rate – add<strong>in</strong>g only 2,399 persons or 1.4 percent. For the first time,<br />

the region’s rate <strong>of</strong> growth trailed that <strong>of</strong> the State.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 3


Table 2. Trends <strong>in</strong> Total and Elderly Population <strong>in</strong> <strong>Michigan</strong> and Region 1-C, 1970 - 2000<br />

Year<br />

Population Totals, by Decade Percent Change, Decade to Decade<br />

<strong>Michigan</strong> Region 1-C <strong>Michigan</strong><br />

Region 1-C<br />

Total 60+ Total 60+ Total 60+ Total 60+<br />

1970 8,875,083 1,089,225 1,013,686 89,014<br />

1980 9,262,078 1,305,636 1,016,993 130,967 4.4% 19.9% 0.3% 47.1%<br />

1990 9,295,297 1,510,397 981,122 168,880 0.4% 15.7% -3.5% 28.9%<br />

2000 9,938,444 1,596,162 1,008,216 171,279 6.9% 5.7% 2.8% 1.4%<br />

Table 3 presents a summary, by age category, <strong>of</strong> Region 1-C’s population 60+ <strong>in</strong> 1990<br />

and 2000. While the overall 60+ population experienced a slight ga<strong>in</strong> <strong>of</strong> 2,399, or 1.4<br />

percent, the ga<strong>in</strong> was not evenly spread across age cohorts. In fact, the region<br />

experienced losses <strong>in</strong> the cohorts below 75 years <strong>of</strong> age and large ga<strong>in</strong>s <strong>in</strong> those above 75<br />

years. The youngest cohort, 60–64 years, dropped by more than 13,000 persons, or 27.2<br />

percent, over the decade, while the 65-74 years cohort lost almost 20,000 persons or 25.9<br />

percent.<br />

Table 3. Trends <strong>in</strong> Selected Age Categories <strong>in</strong> Region 1-C, 1990 - 2000<br />

Age Group<br />

Region 1-C Totals 1990-2000 Change<br />

1990 2000 Number Percent<br />

45-54 years 102,407 138,734 36,327 35.5<br />

55-59 years 44,700 47,942 3,242 7.3<br />

60 years+ 168,880 171,279 2,399 1.4<br />

60-64 years 47,917 34,897 -13,020 -27.2<br />

65 years+ 120,963 120,766 -197 -0.2<br />

65-74 years 75,880 56,244 -19,636 -25.9<br />

75-84 years 34,725 50,251 15,526 44.7<br />

85 years+ 10,358 14,271 3,913 37.8<br />

The picture was quite different for the two oldest cohorts. The total number <strong>of</strong> persons<br />

between 75 and 84 years <strong>of</strong> age grew by 15,526 persons (44.7 percent), while the total 85<br />

years and over added almost 4,000, or 37.8 percent. The result <strong>of</strong> such trends is a<br />

marg<strong>in</strong>ally smaller, but considerably older, clientele for Region 1-C’s services.<br />

A quick view <strong>of</strong> the future shows that the 55-59 year cohort experienced an <strong>in</strong>crease over<br />

the decade, with its total <strong>of</strong> 47,942 be<strong>in</strong>g just over 13,000 higher than the 60-64 year<br />

cohort just ahead <strong>of</strong> it. Bar<strong>in</strong>g large losses due to premature death and/or migration, this<br />

group, coupled with the first wave <strong>of</strong> “baby-boomers” that follow, will br<strong>in</strong>g overall<br />

growth <strong>in</strong> the region’s 60+ population <strong>in</strong> the decade to come.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 4


M<strong>in</strong>ority Population Trends<br />

The movement <strong>of</strong> m<strong>in</strong>orities out <strong>of</strong> Detroit and Highland Park <strong>in</strong>to the suburbs <strong>of</strong> <strong>Wayne</strong><br />

<strong>County</strong> has resulted <strong>in</strong> an <strong>in</strong>crease <strong>in</strong> both the m<strong>in</strong>ority share <strong>of</strong> Region 1-C’s 60+<br />

population, from 5.6 to 6.7 percent, and the region’s share <strong>of</strong> the State’s total m<strong>in</strong>ority<br />

elderly, from 5.2 to 5.9 percent. Table 4 summarizes the trend <strong>in</strong> m<strong>in</strong>ority share across<br />

the State’s 16 regions between 1990 and 2000 2 .<br />

Table 4. Share <strong>of</strong> M<strong>in</strong>ority Population 60 Years+ by Region, 1990 - 2000<br />

Region<br />

1990 2000<br />

Reg Share ST Share Reg Share ST Share<br />

1-A 60.0 62.9 72.1 54.5<br />

1-B 4.5 9.3 6.6 14.1<br />

1-C 5.6 5.2 6.7 5.9<br />

2 4.0 1.1 3.7 1.0<br />

3-A 5.5 1.0 7.1 1.3<br />

3-B 7.0 1.3 7.6 1.3<br />

3-C 3.0 0.3 2.5 0.2<br />

4 9.9 2.8 10.0 2.7<br />

5 11.1 5.0 12.8 5.9<br />

6 6.1 1.8 7.3 2.2<br />

7 5.4 3.4 5.2 3.4<br />

8 4.6 3.2 5.3 3.8<br />

9 0.7 0.2 1.1 0.3<br />

10 1.1 0.3 1.3 0.4<br />

11 1.6 0.6 2.7 0.9<br />

14 6.0 1.9 5.9 2.0<br />

A further analysis <strong>of</strong> the region’s racial/ethnic makeup (see Table 5) details the<br />

composition <strong>of</strong> the region’s m<strong>in</strong>ority population. Just under 64 percent <strong>of</strong> the region’s<br />

total m<strong>in</strong>ority elderly population is African-American. 3 Asian and Pacific Islanders<br />

comprised 16.2 percent <strong>of</strong> the total, while Multi-racial responses accounted for 14.1<br />

percent. Native Americans and Other (undef<strong>in</strong>ed) races accounted for 3 percent each.<br />

While not <strong>in</strong>cluded <strong>in</strong> the count <strong>of</strong> m<strong>in</strong>orities, 2,365 elderly (20.5 percent) identified<br />

themselves as Lat<strong>in</strong>o/Hispanic.<br />

The racial/ethnic composition <strong>of</strong> the elderly <strong>of</strong> Region 1-C differs from that <strong>of</strong> the<br />

general population. The elderly population is more White, non-Hispanic than the<br />

population as a whole – 92 vs. 85 percent, and tends to run at about half the overall share<br />

<strong>in</strong> most m<strong>in</strong>ority categories. The elderly share for African-Americans is slightly higher<br />

2 The 2000 Census allowed respondents for the first time to choose more than one race. The Office <strong>of</strong><br />

Services to the Ag<strong>in</strong>g tabulated m<strong>in</strong>ority population to <strong>in</strong>clude these multi-race respondents, <strong>in</strong> addition to<br />

the s<strong>in</strong>gle-race respondents who listed African-American, Native American, Asian, Native Hawaiian or<br />

other Pacific Islander, or Other Race.<br />

3 Race identification <strong>in</strong> Table 5 is associated with s<strong>in</strong>gle race responses. In other words, the count <strong>of</strong><br />

African-Americans is based on the number <strong>of</strong> respondents who listed only African-American on their<br />

census questionnaire. If they listed African-American and another race they were counted as Multi-racial.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 5


than half that <strong>of</strong> the general population, while that <strong>of</strong> multi-race respondents is<br />

considerably less. This fact is due to the large numbers <strong>of</strong> multi-race responses that<br />

occurred <strong>in</strong> Dearborn and Dearborn Heights, home to large numbers <strong>of</strong> persons <strong>of</strong> Arab<br />

ancestry. An analysis <strong>of</strong> this population shows that it trends toward a younger age<br />

distribution, thus result<strong>in</strong>g <strong>in</strong> a higher likelihood for multi-race respondents to be younger<br />

as well.<br />

Table 5. Racial Distribution <strong>of</strong> Region 1-C’s Total and 60+ Populations, 2000<br />

Number<br />

Total Population<br />

M<strong>in</strong>ority<br />

Percent Share with<strong>in</strong><br />

1-C<br />

Number<br />

60+ Population<br />

M<strong>in</strong>ority<br />

Percent Share with<strong>in</strong><br />

1-C<br />

Total Population 1,008,216 171,279<br />

M<strong>in</strong>ority Population 131,720 13.1 11,542 6.7<br />

African-American 72,040 7.1 54.7 7,359 4.3 63.8<br />

Native American 4,221 0.4 3.2 341 0.2 3.0<br />

Asian & PI 22,571 2.2 17.1 1,868 1.1 16.2<br />

Other Race 7,352 0.7 5.6 348 0.2 3.0<br />

Multi-Race 25,536 2.5 19.4 1,626 0.9 14.1<br />

Lat<strong>in</strong>o/Hispanic 28,797 2.9 21.9 2,365 1.4 20.5<br />

White, non-Hispanic 857,354 85.0 157,791 92.1<br />

Poverty Trends<br />

Measurement <strong>of</strong> trends <strong>in</strong> the elderly poor have been complicated by the way age-related<br />

poverty data were tabulated by the Census Bureau <strong>in</strong> the 2000 Census. Rather than<br />

break<strong>in</strong>g out the 55-64 year age cohort <strong>in</strong>to two groups – 55-59 and 60-64 – allow<strong>in</strong>g for<br />

tabulations <strong>of</strong> the 60 and over population (as done <strong>in</strong> 1980 and 1990), the Census Bureau<br />

chose to keep it as one. Table 6 shows the distribution <strong>of</strong> poverty by age groups from the<br />

2000 Census. Region 1-C’s poverty rates were relatively low, compared to the other<br />

Table 6. Poverty Rate by Age Category, 1999<br />

Region Total 55-64 65+ 65-74 75+<br />

1-A 24.9 11.9 17.4 17.0 17.8<br />

1-B 6.3 2.9 6.5 3.5 6.8<br />

1-C 7.5 3.6 6.1 4.4 6.1<br />

2 8.2 4.2 7.5 4.8 7.5<br />

3-A 12.0 3.7 6.3 4.5 5.7<br />

3-B 9.6 5.3 8.2 5.6 7.6<br />

3-C 10.5 6.0 7.1 4.5 6.9<br />

4 11.8 5.9 9.4 6.1 9.1<br />

5 11.3 5.4 7.7 5.2 6.3<br />

6 11.0 3.6 6.4 3.4 6.5<br />

7 12.1 6.1 8.8 5.6 8.9<br />

8 9.5 4.8 7.9 5.1 7.6<br />

9 11.9 9.3 7.8 5.9 6.7<br />

10 7.9 5.4 6.8 3.9 7.0<br />

11 11.8 6.4 9.3 6.0 10.4<br />

14 8.4 3.9 6.7 3.7 7.3<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 6


egions, across all age groups. Only one region (1B) had a lower poverty rate, and one (6)<br />

the same, <strong>in</strong> the 55-64 year cohort. Region 1-C had the lowest rate <strong>of</strong> any region for all<br />

persons 65 years <strong>of</strong> age and over. Look<strong>in</strong>g further at this age group’s component cohorts,<br />

we see that Region 1-C was surpassed by four regions (1-B, 6, 10 and 14) <strong>in</strong> the 65-74<br />

year cohort, and only one (3A) for persons 75 years and over. Due to 2000 Census<br />

tabulation issues, the only way to approximate the tabulation for 60+ is to perform an<br />

allocation based on population share. 4 Utiliz<strong>in</strong>g this estimation method we f<strong>in</strong>d that the<br />

poverty rate for seniors <strong>in</strong> Region 1-C cont<strong>in</strong>ued the gradual decl<strong>in</strong>e that occurred <strong>in</strong> the<br />

previous decade (see Table 7). The drop <strong>of</strong> 0.5 percentage po<strong>in</strong>ts (from 6.6 to 6.1<br />

percent) dur<strong>in</strong>g the 1990s followed a similar drop <strong>of</strong> 0.4 percentage po<strong>in</strong>ts (from 7.0 to<br />

6.6 percent) that occurred dur<strong>in</strong>g the 1980s. In spite <strong>of</strong> the decrease <strong>in</strong> the region’s senior<br />

poverty rate dur<strong>in</strong>g the 1990s, the larger decrease that occurred <strong>in</strong> Detroit (Region 1-A),<br />

coupled with the numbers <strong>of</strong> seniors mov<strong>in</strong>g out <strong>in</strong>to the Detroit suburbs, led to a<br />

decreas<strong>in</strong>g share <strong>of</strong> poor seniors <strong>in</strong> Region 1-A and <strong>in</strong>creas<strong>in</strong>g state shares for regions 1-<br />

C and 1-B. Region 1-C’s share <strong>of</strong> the State <strong>in</strong>creased from 7.2 to 8.1 percent. This<br />

followed a similar percentage po<strong>in</strong>t <strong>in</strong>crease <strong>of</strong> 0.8 (from 6.4 to 7.2 percent) dur<strong>in</strong>g the<br />

1970s. This <strong>in</strong>crease occurred primarily because <strong>of</strong> the large growth <strong>in</strong> the region’s<br />

senior population, as Detroit’s poverty rate went up dur<strong>in</strong>g this time. Region 1-B also<br />

experienced growth <strong>in</strong> State share for similar reasons.<br />

Table 7. Trends <strong>in</strong> Poverty Rate <strong>of</strong> Population 60+ Population by Region, 1979 - 1999<br />

Region<br />

1979 1989<br />

1999<br />

Reg Share ST Share Reg Share ST Share Reg Share ST Share<br />

1-A 15.5 24.1 19.0 23.7 17.8 20.4<br />

1-B 7.5 14.9 6.7 16.3 6.1 19.8<br />

1-C 7.0 6.4 6.6 7.2 6.1 8.1<br />

2 11.0 3.2 10.2 3.1 7.2 2.8<br />

3-A 8.4 1.5 8.6 1.8 6.3 1.7<br />

3-B 10.2 2.0 9.2 1.9 8.1 2.1<br />

3-C 9.9 1.1 9.3 1.0 7.4 1.1<br />

4 12.7 4.0 11.4 3.8 9.2 3.8<br />

5 10.5 4.9 9.4 4.9 7.9 5.6<br />

6 9.7 3.0 8.7 3.0 6.3 2.9<br />

7 12.5 8.6 11.4 8.5 8.8 8.7<br />

8 11.8 9.0 10.1 8.3 7.9 8.4<br />

9 15.9 4.4 13.5 4.3 8.3 3.9<br />

10 14.8 3.7 10.7 3.1 7.0 3.0<br />

11 14.7 6.3 13.9 5.9 9.2 4.8<br />

14 9.1 3.0 8.7 3.1 6.6 3.3<br />

Table 8 attempts to assess the severity <strong>of</strong> poverty that exists <strong>in</strong> the regions for the<br />

population 65 years and over. While one can determ<strong>in</strong>e the share that fall below the<br />

4 In order to approximate the 60-64 year cohort <strong>in</strong> poverty, an allocation was performed based on each<br />

region’s share <strong>of</strong> total population 55-64 years <strong>in</strong> the 60-64 years subgroup. Each share was then applied to<br />

the number <strong>of</strong> poor <strong>in</strong> the 55-64 year range, with the result be<strong>in</strong>g an estimate <strong>of</strong> poor between 60 and 64<br />

years.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 7


poverty guidel<strong>in</strong>es (as <strong>in</strong> Table 6), it is also <strong>in</strong>formative to assess how far below they fall.<br />

This can be done by subdivid<strong>in</strong>g the poor <strong>in</strong>to the categories 50% or less <strong>of</strong> poverty and<br />

75% or less. When we do this we see that 2.3 percent <strong>of</strong> Region 1-C’s population falls<br />

below the 50% mark – quite similar to most <strong>of</strong> the other regions, with the exception <strong>of</strong> 1-<br />

A. Results at less than 75% show the same trend. Region 1-C has one <strong>of</strong> the lowest<br />

shares <strong>of</strong> truly needy elderly population <strong>in</strong> the State.<br />

Table 8. Percent <strong>of</strong> the Population 65+ by Ratio to Poverty, by Region, 1999<br />

Region<br />

Total<br />

Persons<br />

Percent <strong>of</strong> Persons Less than _ % <strong>of</strong> Poverty<br />

50 75 100 125 150<br />

1-A 110,917 5.7 9.6 17.4 23.9 29.8<br />

1-B 306,987 2.2 3.5 6.5 9.8 13.8<br />

1-C 129,861 2.3 3.7 6.1 9.7 13.9<br />

2 37,139 2.5 4.0 7.5 12.6 18.5<br />

3-A 25,741 2.1 3.5 6.3 11.2 16.1<br />

3-B 24,665 2.3 4.0 8.2 13.5 19.4<br />

3-C 13,373 1.8 3.5 7.1 12.8 18.8<br />

4 38,587 2.6 4.8 9.4 15.3 22.1<br />

5 65,656 2.5 4.2 7.7 12.1 16.3<br />

6 43,008 2.2 3.5 6.4 10.1 14.5<br />

7 93,167 2.5 4.5 8.8 14.1 20.2<br />

8 101,138 2.2 3.8 7.9 13.0 18.7<br />

9 43,724 2.4 4.0 7.8 13.5 20.1<br />

10 40,365 2.0 3.4 6.8 12.4 18.3<br />

11 49,620 2.2 3.9 9.3 16.4 23.8<br />

14 47,132 2.2 3.8 6.7 11.0 16.9<br />

Table 9 represents data developed as a special tabulation by the Census Bureau, under<br />

contract with the <strong>Michigan</strong> Office <strong>of</strong> Services to the Ag<strong>in</strong>g. In order to carry out future<br />

plann<strong>in</strong>g and fund<strong>in</strong>g allocations, the State asked for a tabulation <strong>of</strong> the 60+ population at<br />

or below 150% <strong>of</strong> poverty. 5 The percentage <strong>of</strong> elderly <strong>in</strong> Region 1-C at or below 150%<br />

<strong>of</strong> poverty was 12.7 percent (as calculated <strong>in</strong> previous estimates), second lowest, beh<strong>in</strong>d<br />

Region 1-B, <strong>of</strong> the 16 regions. Its share <strong>of</strong> the State total – 8.4 percent – placed it <strong>in</strong> 5 th<br />

place, beh<strong>in</strong>d its adjacent regions (1-A and 1-B), Region 7 (the Thumb, Bay City and<br />

Sag<strong>in</strong>aw), and Region 8 (Grand Rapids area). A comparison <strong>of</strong> the regional shares<br />

calculated as part <strong>of</strong> the estimates process with those provided <strong>in</strong> the special tabulation<br />

shows very little difference. Only six <strong>of</strong> the sixteen regions showed any difference<br />

between the two, and none <strong>of</strong> the differences was more than one-tenth <strong>of</strong> one percent. In<br />

the case <strong>of</strong> Region 1-C, special tabulation results and estimates produced identical State<br />

shares <strong>of</strong> 8.4 percent. These results provide the support<strong>in</strong>g documentation necessary to<br />

conclude that the estimate methodology works. Therefore, while the special tabulation<br />

provides no numbers below the community level, estimates <strong>of</strong> the population 60+ both at<br />

or below poverty and at or below 150% will be reported for Region 1-C’s component<br />

communities.<br />

5 The tabulation only provided total persons 60+ at or below 150% <strong>of</strong> poverty. There were no universes<br />

<strong>in</strong>cluded so regional shares cannot be tabulated. Based on the closeness <strong>of</strong> the estimates that were<br />

developed prior to this tabulation, the regional shares reported as part <strong>of</strong> the estimates should still hold true.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 8


Table 9. Population 60 Years+ At or Below 150% Poverty by Region, 1999<br />

Region<br />

Special Tabulation WSU Estimate<br />

Total ST Share Reg. Share ST Share<br />

1-A 42,530 16.1 28.3 16.2<br />

1-B 51,599 19.5 12.0 19.4<br />

1-C 22,322 8.4 12.7 8.4<br />

2 8,342 3.2 16.1 3.2<br />

3-A 5,040 1.9 14.0 1.9<br />

3-B 6,147 2.3 17.6 2.3<br />

3-C 3,265 1.2 17.1 1.2<br />

4 10,510 4.0 19.7 4.0<br />

5 14,120 5.3 15.1 5.3<br />

6 8,088 3.1 12.9 3.0<br />

7 23,665 8.9 18.2 9.0<br />

8 23,965 9.1 16.6 9.0<br />

9 11,575 4.4 19.0 4.4<br />

10 9,300 3.5 16.4 3.5<br />

11 14,215 5.4 20.9 5.5<br />

14 10,122 3.8 14.9 3.8<br />

Liv<strong>in</strong>g Arrangements<br />

Table 10. Share <strong>of</strong> Persons 60 Years<br />

and Over Liv<strong>in</strong>g Alone by Region, 2000<br />

Region<br />

2000<br />

Reg Share ST Share<br />

1-A 39.2 10.5<br />

1-B 37.4 26.1<br />

1-C 39.2 11.3<br />

2 36.5 3.0<br />

3-A 39.7 2.2<br />

3-B 37.6 2.1<br />

3-C 37.8 1.1<br />

4 37.0 3.2<br />

5 37.7 5.7<br />

6 38.8 3.8<br />

7 38.1 7.8<br />

8 37.2 8.3<br />

9 36.1 3.4<br />

10 35.5 3.1<br />

11 42.3 4.6<br />

14 36.6 3.7<br />

One f<strong>in</strong>al variable was assessed that has an<br />

impact on the daily lives <strong>of</strong> the elderly.<br />

That variable deals with the liv<strong>in</strong>g<br />

arrangements <strong>of</strong> the elderly – specifically<br />

the share that live alone. Such a liv<strong>in</strong>g<br />

arrangement <strong>of</strong>ten leads to lonel<strong>in</strong>ess and<br />

a lack <strong>of</strong> <strong>in</strong>teraction with others. If<br />

recreational and health-related services are<br />

not located <strong>in</strong> the neighborhood, and one<br />

has no vehicle available, or one that is<br />

unreliable, or if one has difficulty<br />

perform<strong>in</strong>g activities <strong>of</strong> daily liv<strong>in</strong>g, it<br />

requires strong connections with others to<br />

be able to ma<strong>in</strong>ta<strong>in</strong> a quality <strong>of</strong> life.<br />

Table 10 shows that the percent liv<strong>in</strong>g<br />

alone was very similar across the 16<br />

regions, with Region 11 <strong>in</strong> the Upper<br />

Pen<strong>in</strong>sula hav<strong>in</strong>g the highest (42.3<br />

percent) and Region 10 <strong>in</strong> the western<br />

portion <strong>of</strong> the Northern Lower pen<strong>in</strong>sula<br />

hav<strong>in</strong>g the lowest (35.5 percent).<br />

Region 1-C’s share was the same as that <strong>of</strong> 1-A, and slightly higher than 1-B, shear<br />

numbers led the way as Region1-C’s share <strong>of</strong> the State total, 11.3 percent, fell slightly<br />

higher than that <strong>of</strong> 1-A at 10.5 percent, and well beh<strong>in</strong>d Region 1-B. In fact, Region 1-B<br />

accounted for more than 1 <strong>of</strong> every 4 State seniors who lived alone.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 9


Community Analysis<br />

Population and Socioeconomic Characteristics<br />

In order to better understand the changes that have occurred <strong>in</strong> Region 1-C, the analysis<br />

now addresses the region’s geographic components. Learn<strong>in</strong>g more about where the<br />

losses (and ga<strong>in</strong>s) have occurred, as well as the characteristics <strong>of</strong> the persons who reside<br />

<strong>in</strong> the region, will allow for a better understand<strong>in</strong>g <strong>of</strong> these trends and a more focused<br />

approach to service delivery. Our sub-regional analysis is be<strong>in</strong>g conducted at the<br />

community-level, through an analysis <strong>of</strong> changes <strong>in</strong> the 60 and over population <strong>in</strong> each<br />

<strong>of</strong> the 34 communities <strong>in</strong> the region.<br />

Table 11. Region 1-C’s 60+ Population by Community, 1980-2000<br />

Community<br />

Number 60 Years and Over Percent <strong>of</strong> Total Pop.<br />

1980 1990 2000 1980-90 1990-00<br />

Region 1-C 130,967 168,880 171,279 29% 1%<br />

Allen Park city 6,413 8,436 7,245 32% -14%<br />

Belleville city 482 700 757 45% 8%<br />

Brownstown township 1,051 1,430 1,988 36% 39%<br />

Canton township 2,457 4,002 6,469 63% 62%<br />

Dearborn city 20,648 20,687 18,391 0% -11%<br />

Dearborn Heights city 10,294 14,265 13,515 39% -5%<br />

Ecorse city 2,093 2,057 1,808 -2% -12%<br />

Flat Rock city 642 1,021 1,054 59% 3%<br />

Garden City city 3,318 5,089 5,162 53% 1%<br />

Gibraltar city 382 446 593 17% 33%<br />

Grosse Ile township 1,020 1,414 1,897 39% 34%<br />

Huron township 986 1,216 1,541 23% 27%<br />

Inkster city 4,181 4,823 4,252 15% -12%<br />

L<strong>in</strong>coln Park city 7,156 8,301 6,965 16% -16%<br />

Livonia city 12,521 19,315 21,325 54% 10%<br />

Melv<strong>in</strong>dale city 1,781 2,209 1,829 24% -17%<br />

Northville city 663 571 580 -14% 2%<br />

Northville township 1,375 2,488 3,899 81% 57%<br />

Plymouth city 1,848 2,004 1,741 8% -13%<br />

Plymouth township 2,192 3,479 4,600 59% 32%<br />

Redford township 10,151 12,066 9,263 19% -23%<br />

River Rouge city 2,068 1,819 1,403 -12% -23%<br />

Riverview city 1,681 2,691 3,232 60% 20%<br />

Rockwood city 277 402 451 45% 12%<br />

Romulus city 2,079 2,403 2,587 16% 8%<br />

Southgate city 3,448 5,967 6,133 73% 3%<br />

Sumpter township 1,078 1,187 1,261 10% 6%<br />

Taylor city 5,992 8,505 9,862 42% 16%<br />

Trenton city 2,889 4,368 4,774 51% 9%<br />

Van Buren township 1,506 2,102 2,286 40% 9%<br />

<strong>Wayne</strong> city 2,746 3,222 2,945 17% -9%<br />

Westland city 8,685 12,695 14,803 46% 17%<br />

Woodhaven city 557 912 1,288 64% 41%<br />

Wyandotte city 6,307 6,588 5,380 4% -18%<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 10


Population Trends<br />

Region 1-C has experienced a steady <strong>in</strong>crease <strong>in</strong> its elderly population s<strong>in</strong>ce 1970, though<br />

the decade <strong>of</strong> the 1990s brought with it the smallest numerical and percentage <strong>in</strong>creases<br />

over the 30-year period. A review <strong>of</strong> Table 11 shows that, while three communities<br />

(Ecorse, Northville and River Rouge) lost elderly dur<strong>in</strong>g the 1980s, eleven communities<br />

experienced losses dur<strong>in</strong>g the 1990s. While both Ecorse and River Rouge experienced<br />

<strong>in</strong>creases <strong>in</strong> their rate <strong>of</strong> loss, and Northville showed a slight ga<strong>in</strong>, communities such as<br />

Allen Park, L<strong>in</strong>coln Park and Melv<strong>in</strong>dale experienced major reversals from double-digit<br />

ga<strong>in</strong>s <strong>in</strong> the 1980s to double-digit losses <strong>in</strong> the 1990s.<br />

M<strong>in</strong>ority Trends<br />

The analysis to this po<strong>in</strong>t has looked at Region 1-C <strong>in</strong> terms <strong>of</strong> its overall characteristics<br />

and relation to the other regions <strong>in</strong> the State. However, we still need to better understand<br />

the demographic and socioeconomic characteristics <strong>of</strong> this population. In order to do that<br />

we turn to the 2000 Census and seek to m<strong>in</strong>e the applicable data. 6 Table 12 provides the<br />

racial (m<strong>in</strong>ority 7 overall) composition <strong>of</strong> Region 1-C by community. M<strong>in</strong>orities account<br />

for 7.9 percent <strong>of</strong> the Region’s population 60+, but only 6.1 percent <strong>of</strong> those 75+. This<br />

discrepancy is the result <strong>of</strong> a White, non-Hispanic population that is represented <strong>in</strong> higher<br />

numbers <strong>in</strong> the older age categories – particularly <strong>in</strong> the communities <strong>of</strong> Canton<br />

township, Dearborn, Inkster, Redford township, and most <strong>of</strong> the smaller downriver<br />

communities. The only communities to go counter to this trend were Ecorse, Romulus,<br />

Sumpter township and <strong>Wayne</strong>. The table also shows the wide variation <strong>in</strong> the racial<br />

makeup <strong>of</strong> the Region’s seniors across communities. Ecorse and Inkster were the only<br />

communities where m<strong>in</strong>orities represented more than half <strong>of</strong> all seniors, while River<br />

Rouge, Romulus, Sumpter township and <strong>Wayne</strong> were the only other communities with<br />

m<strong>in</strong>ority shares, <strong>in</strong> any age group, that exceeded 10 percent. N<strong>in</strong>eteen <strong>of</strong> the 34<br />

communities had m<strong>in</strong>ority elderly shares <strong>of</strong> less than 5 percent.<br />

Poverty Trends<br />

Table 13 allows for a f<strong>in</strong>er analysis <strong>of</strong> the region’s poor seniors. While there are pockets<br />

<strong>of</strong> poverty <strong>in</strong> all communities, when communities are ranked by the number <strong>of</strong> seniors <strong>in</strong><br />

poverty, it can be seen that more than half (4,512 out <strong>of</strong> 7,968, or 57 percent) live <strong>in</strong> just<br />

seven communities – Dearborn, Dearborn Heights, Inkster, Livonia, Southgate, Taylor<br />

and Westland. The economic status <strong>of</strong> seniors differs greatly from community to<br />

community, with the highest rate <strong>of</strong> poverty found <strong>in</strong> Inkster, at 13.4 percent, and the<br />

lowest rate, 0 percent, <strong>in</strong> Rockwood. Only five other communities – Belleville, Ecorse,<br />

6 The age categories that will be used for this analysis are dependent upon the tabulations <strong>of</strong>fered by the<br />

Census Bureau. As is the case with poverty calculations, many <strong>of</strong> the tabulations do not allow for the<br />

complete universe <strong>of</strong> 60+ to be used. In most cases one is limited to universes <strong>of</strong> 65+ and 75+.<br />

7 The def<strong>in</strong>ition <strong>of</strong> m<strong>in</strong>ority <strong>in</strong> this discussion is slightly different than that used <strong>in</strong> the previous discussion.<br />

Here we are exclud<strong>in</strong>g White, non-Hispanics from the total population. The overall share is slightly higher<br />

than that shown <strong>in</strong> Table 4 (73.0 vs. 72.1 percent) due to the fact that the def<strong>in</strong>ition used by the State Office<br />

<strong>of</strong> Services to the Ag<strong>in</strong>g <strong>in</strong>cludes Hispanics who also listed a race other than White.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 11


River Rouge, Romulus and Sumpter township – have poverty rates exceed<strong>in</strong>g 10 percent.<br />

Fourteen communities, <strong>in</strong> addition to Rockwood, have rates less than 5 percent.<br />

When the poverty analysis moves up to the 150% threshold, all communities, with the<br />

exception <strong>of</strong> Allen Park, and the townships <strong>of</strong> Grosse Ile, Northville and Plymouth, have<br />

rates exceed<strong>in</strong>g 10 percent, with Belleville, Ecorse and Romulus shar<strong>in</strong>g the highest rate<br />

<strong>of</strong> 28 percent.<br />

Table 12. Region 1-C’s M<strong>in</strong>ority Population 60+ Population by Community, 2000<br />

Community<br />

Total Population<br />

Percent M<strong>in</strong>ority<br />

60+ 65+ 75+ 60+ 65+ 75+<br />

Region 1-C 171,279 134,175 64,522 7.9 7.2 6.1<br />

Allen Park city 7,245 6,136 3,434 3.5 3.3 3.0<br />

Belleville city 757 606 295 3.0 3.5 2.7<br />

Brownstown township 1,988 1,333 547 7.8 7.6 7.5<br />

Canton township 6,469 4,531 1,953 11.2 9.5 6.3<br />

Dearborn city 18,391 15,232 8,842 5.9 5.0 3.2<br />

Dearborn Heights city 13,515 10,914 5,232 4.6 4.1 4.0<br />

Ecorse city 1,808 1,385 583 53.4 54.4 55.6<br />

Flat Rock city 1,054 809 377 2.6 2.3 1.6<br />

Garden City city 5,162 4,065 1,513 3.2 2.9 2.5<br />

Gibraltar city 593 381 137 2.4 1.3 0.7<br />

Grosse Ile township 1,897 1,292 491 3.3 2.2 1.8<br />

Huron township 1,541 1,063 408 2.9 2.4 2.0<br />

Inkster city 4,252 3,251 1,422 66.0 63.8 60.3<br />

L<strong>in</strong>coln Park city 6,965 5,640 2,784 5.9 5.5 5.2<br />

Livonia city 21,325 16,988 8,027 3.0 2.8 2.4<br />

Melv<strong>in</strong>dale city 1,829 1,448 686 9.4 9.2 8.2<br />

Northville city 580 448 262 1.7 1.3 0.4<br />

Northville township 3,899 2,920 1,387 3.2 2.5 2.5<br />

Plymouth city 1,741 1,465 839 2.3 1.9 1.3<br />

Plymouth township 4,600 3,420 1,449 3.6 2.6 2.3<br />

Redford township 9,263 7,698 4,205 4.8 3.9 2.7<br />

River Rouge city 1,403 1,053 484 42.6 41.4 41.5<br />

Riverview city 3,232 2,619 1,380 4.0 3.5 3.4<br />

Rockwood city 451 324 128 2.7 2.5 0.8<br />

Romulus city 2,587 1,804 749 26.9 28.7 28.0<br />

Southgate city 6,133 4,890 2,347 3.6 3.2 2.9<br />

Sumpter township 1,261 876 350 24.5 24.7 25.7<br />

Taylor city 9,862 7,237 2,798 6.2 5.6 5.5<br />

Trenton city 4,774 3,837 1,630 1.8 1.7 1.6<br />

Van Buren township 2,286 1,551 593 8.8 7.2 6.1<br />

<strong>Wayne</strong> city 2,945 2,230 1,071 11.5 11.7 13.1<br />

Westland city 14,803 11,456 5,436 7.8 7.6 6.6<br />

Woodhaven city 1,288 872 399 6.4 4.8 2.5<br />

Wyandotte city 5,380 4,401 2,284 2.0 1.7 1.3<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 12


Table 13. Ratio <strong>of</strong> Income to Poverty <strong>in</strong> Region 1-C by Community, 1999<br />

Community<br />

Total 65+<br />

Persons Less than _ % <strong>of</strong><br />

Percent by Ratio to<br />

50<br />

P<br />

75<br />

t<br />

100 125 150 50<br />

P<br />

75<br />

t<br />

100 125 150<br />

Region 1-C 129,861 3,040 4,820 7,968 12,628 18,075 2.3 3.7 6.1 9.7 13.9<br />

Allen Park city 5,901 165 214 265 372 574 2.8 3.6 4.5 6.3 9.7<br />

Belleville city 595 29 34 79 118 171 4.9 5.7 13.3 19.8 28.7<br />

Brownstown township 1,332 43 59 99 157 182 3.2 4.4 7.4 11.8 13.7<br />

Canton township 4,579 95 165 253 346 435 2.1 3.6 5.5 7.6 9.5<br />

Dearborn city 15,134 421 759 1,150 1,857 2,579 2.8 5.0 7.6 12.3 17.0<br />

Dearborn Heights city 10,550 260 354 501 800 1,105 2.5 3.4 4.7 7.6 10.5<br />

Ecorse city 1,366 50 86 167 223 385 3.7 6.3 12.2 16.3 28.2<br />

Flat Rock city 798 25 25 38 106 124 3.1 3.1 4.8 13.3 15.5<br />

Garden City city 4,068 108 170 266 449 586 2.7 4.2 6.5 11.0 14.4<br />

Gibraltar city 379 0 12 12 19 56 0.0 3.2 3.2 5.0 14.8<br />

Grosse Ile<br />

1,306 5 18 34 110 115 0.4 1.4 2.6 8.4 8.8<br />

t<br />

Huron<br />

hi<br />

township 1,062 0 5 52 60 118 0.0 0.5 4.9 5.6 11.1<br />

Inkster city 3,142 126 297 422 595 783 4.0 9.5 13.4 18.9 24.9<br />

L<strong>in</strong>coln Park city 5,590 86 123 262 461 729 1.5 2.2 4.7 8.2 13.0<br />

Livonia city 16,018 398 492 835 1,351 1,793 2.5 3.1 5.2 8.4 11.2<br />

Melv<strong>in</strong>dale city 1,448 41 71 133 189 284 2.8 4.9 9.2 13.1 19.6<br />

Northville city 420 8 16 16 51 74 1.9 3.8 3.8 12.1 17.6<br />

Northville township 2,785 58 68 92 138 179 2.1 2.4 3.3 5.0 6.4<br />

Plymouth city 1,337 15 41 48 91 175 1.1 3.1 3.6 6.8 13.1<br />

Plymouth township 3,320 17 26 60 74 160 0.5 0.8 1.8 2.2 4.8<br />

Redford township 7,602 152 231 396 668 935 2.0 3.0 5.2 8.8 12.3<br />

River Rouge city 1,061 28 57 111 149 195 2.6 5.4 10.5 14.0 18.4<br />

Riverview city 2,209 68 76 115 219 307 3.1 3.4 5.2 9.9 13.9<br />

Rockwood city 312 0 0 0 14 42 0.0 0.0 0.0 4.5 13.5<br />

Romulus city 1,756 44 76 217 329 498 2.5 4.3 12.4 18.7 28.4<br />

Southgate city 4,846 122 190 410 539 904 2.5 3.9 8.5 11.1 18.7<br />

Sumpter township 882 25 60 109 166 185 2.8 6.8 12.4 18.8 21.0<br />

Taylor city 6,823 172 233 442 690 970 2.5 3.4 6.5 10.1 14.2<br />

Trenton city 3,708 39 87 151 278 431 1.1 2.3 4.1 7.5 11.6<br />

Van Buren township 1,545 27 57 94 154 198 1.7 3.7 6.1 10.0 12.8<br />

<strong>Wayne</strong> city 1,951 85 126 188 262 392 4.4 6.5 9.6 13.4 20.1<br />

Westland city 10,884 255 479 752 1,134 1,671 2.3 4.4 6.9 10.4 15.4<br />

Woodhaven city 744 16 24 24 87 102 2.2 3.2 3.2 11.7 13.7<br />

Wyandotte city 4,408 57 89 175 372 638 1.3 2.0 4.0 8.4 14.5<br />

The Census Bureau’s special tabulation also provides counts <strong>of</strong> persons 60+ at or below<br />

150% <strong>of</strong> poverty by community with<strong>in</strong> Region 1-C (see Table 14). While the counts add<br />

little to the discussion, they do serve to re<strong>in</strong>force the way need is distributed <strong>in</strong> the region.<br />

Dearborn accounts for the highest share <strong>of</strong> all seniors at or below 150% at 14.4 percent,<br />

followed by Livonia and Westland at 9.1 and 9.2 percent, respectively. Only Dearborn<br />

Heights, Redford township and Taylor, among the rema<strong>in</strong><strong>in</strong>g 31 communities, account<br />

for more than 5 percent.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 13


Table 14. Population 60 Years+ At or Below 150% Poverty <strong>in</strong> Region 1-C by Community, 1999<br />

Community<br />

Number<br />

Share <strong>of</strong><br />

Region<br />

Community<br />

Number<br />

Share <strong>of</strong><br />

Region<br />

Region 1-C 22,322<br />

Allen Park city 648 2.9 Northville township 220 1.0<br />

Belleville city 194 0.9 Plymouth city 189 0.8<br />

Brownstown township 236 1.1 Plymouth township 196 0.9<br />

Canton township 564 2.5 Redford township 1,113 5.0<br />

Dearborn city 3,221 14.4 River Rouge city 306 1.4<br />

Dearborn Heights city 1,407 6.3 Riverview city 333 1.5<br />

Ecorse city 509 2.3 Rockwood city 66 0.3<br />

Flat Rock city 150 0.7 Romulus city 638 2.9<br />

Garden City city 700 3.1 Southgate city 1,057 4.7<br />

Gibraltar city 69 0.3 Sumpter township 250 1.1<br />

Grosse Ile township 152 0.7 Taylor city 1,298 5.8<br />

Huron township 151 0.7 Trenton city 516 2.3<br />

Inkster city 1,049 4.7 Van Buren township 264 1.2<br />

L<strong>in</strong>coln Park city 965 4.3 <strong>Wayne</strong> city 505 2.3<br />

Livonia city 2,029 9.1 Westland city 2,043 9.2<br />

Melv<strong>in</strong>dale city 370 1.7 Woodhaven city 131 0.6<br />

Northville city 81 0.4 Wyandotte city 737 3.3<br />

Liv<strong>in</strong>g Arrangements<br />

Three out <strong>of</strong> every ten households 8 <strong>in</strong> the region have at least one person 60 years and<br />

over as a member (see Table 15). The share ranges from a low <strong>of</strong> 16.8 percent <strong>in</strong> Van<br />

Buren township to highs <strong>of</strong> 39.8 and 39.7 percent <strong>in</strong> Dearborn Heights and Trenton,<br />

respectively. When a household conta<strong>in</strong>s at least one person 60+, there is a 4 <strong>in</strong> 10<br />

chance (39.2 percent) that it will be a one-person household. This rate is highest <strong>in</strong><br />

Plymouth where it reaches better than 1 out <strong>of</strong> 2 (54 percent), and lowest <strong>in</strong> Sumpter<br />

township at 25.3 percent.<br />

A further analysis <strong>of</strong> liv<strong>in</strong>g arrangements for persons 65+ and 75+ (see Table 16) shows a<br />

correlation between <strong>in</strong>creas<strong>in</strong>g age and the percent that live alone. While 39 percent <strong>of</strong><br />

households with persons 60 years and over are one-person households, the share rises to<br />

42 percent at 65+ and 49 percent at 75+. While this is a significant percentage, it needs<br />

to be emphasized that more than at least 60 percent <strong>of</strong> persons 60+ and 51 percent <strong>of</strong><br />

persons 75+ share their household with at least one other person.<br />

One community that needs to be looked at more closely is Dearborn. Previous data<br />

demonstrated that its elderly residents had some <strong>of</strong> the highest need, based on their level<br />

<strong>of</strong> poverty. Table 16 shows that Dearborn’s rate <strong>of</strong> seniors liv<strong>in</strong>g alone is higher than the<br />

8 Household - Includes all the persons who occupy a hous<strong>in</strong>g unit. Persons not liv<strong>in</strong>g <strong>in</strong> households are<br />

classified as liv<strong>in</strong>g <strong>in</strong> group quarters. Households are subdivided <strong>in</strong>to family households and non-family<br />

households. The occupants may be a s<strong>in</strong>gle family, one person liv<strong>in</strong>g alone, two or more families liv<strong>in</strong>g<br />

together, or any other group <strong>of</strong> related or unrelated persons who share liv<strong>in</strong>g arrangements.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 14


egional average <strong>in</strong> all age categories, with this be<strong>in</strong>g the case for more than half the 75<br />

years+ population.<br />

Table 15. Liv<strong>in</strong>g Arrangements <strong>of</strong> 60+ <strong>in</strong> Region 1-C by Community, 2000<br />

Total<br />

Households<br />

With 1 or more<br />

persons 60+<br />

Percent <strong>of</strong> Total<br />

Households<br />

60+ Liv<strong>in</strong>g<br />

alone<br />

Percent <strong>of</strong><br />

60+<br />

Region 1-C 392,931 120,590 30.7 47,308 39.2<br />

Allen Park city 11,974 4,928 41.2 1,952 39.6<br />

Belleville city 1,842 576 31.3 305 53.0<br />

Brownstown township 8,322 1,471 17.7 466 31.7<br />

Canton township 27,490 4,793 17.4 1,617 33.7<br />

Dearborn city 36,770 13,500 36.7 5,968 44.2<br />

Dearborn Heights city 23,276 9,256 39.8 3,441 37.2<br />

Ecorse city 4,339 1,414 32.6 562 39.7<br />

Flat Rock city 3,181 782 24.6 323 41.3<br />

Garden City city 11,479 3,659 31.9 1,287 35.2<br />

Gibraltar city 1,728 422 24.4 127 30.1<br />

Grosse Ile township 4,122 1,304 31.6 366 28.1<br />

Huron township 4,745 1,088 22.9 295 27.1<br />

Inkster city 11,169 3,260 29.2 1,245 38.2<br />

L<strong>in</strong>coln Park city 16,204 5,131 31.7 2,115 41.2<br />

Livonia city 38,089 13,704 36.0 4,773 34.8<br />

Melv<strong>in</strong>dale city 4,499 1,410 31.3 677 48.0<br />

Northville city 1,417 405 28.6 187 46.2<br />

Northville township 8,119 2,518 31.0 862 34.2<br />

Plymouth city 4,322 1,195 27.6 646 54.1<br />

Plymouth township 10,757 3,232 30.0 1,152 35.6<br />

Redford township 20,182 6,531 32.4 2,620 40.1<br />

River Rouge city 3,640 1,089 29.9 392 36.0<br />

Riverview city 5,352 1,990 37.2 885 44.5<br />

Rockwood city 1,318 327 24.8 129 39.4<br />

Romulus city 8,439 1,957 23.2 735 37.6<br />

Southgate city 12,836 4,506 35.1 2,054 45.6<br />

Sumpter township 4,110 908 22.1 230 25.3<br />

Taylor city 24,776 6,856 27.7 2,322 33.9<br />

Trenton city 8,137 3,232 39.7 1,317 40.7<br />

Van Buren township 9,867 1,660 16.8 491 29.6<br />

<strong>Wayne</strong> city 7,373 1,993 27.0 834 41.8<br />

Westland city 36,533 10,676 29.2 4,913 46.0<br />

Woodhaven city 4,708 839 17.8 263 31.3<br />

Wyandotte city 11,816 3,978 33.7 1,757 44.2<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 15


Table 16. Liv<strong>in</strong>g Arrangements by Detailed Age Group <strong>in</strong> Region 1-C, 2000<br />

60+ Liv<strong>in</strong>g<br />

alone<br />

Percent <strong>of</strong><br />

60+<br />

65+ Liv<strong>in</strong>g<br />

alone<br />

Percent <strong>of</strong><br />

65+<br />

75+ Liv<strong>in</strong>g<br />

alone<br />

Percent <strong>of</strong><br />

75+<br />

Region 1-C 47,308 39.2 40,901 42.2 24,558 49.0<br />

Allen Park city 1,952 39.6 1,781 42.0 1,162 45.3<br />

Belleville city 305 53.0 260 55.2 149 60.1<br />

Brownstown township 466 31.7 355 34.8 180 39.5<br />

Canton township 1,617 33.7 1,325 38.3 721 44.5<br />

Dearborn city 5,968 44.2 5,416 47.2 3,816 53.6<br />

Dearborn Heights city 3,441 37.2 3,033 39.3 1,796 45.0<br />

Ecorse city 562 39.7 465 41.7 232 44.6<br />

Flat Rock city 323 41.3 274 44.6 157 50.0<br />

Garden City city 1,287 35.2 1,115 37.3 552 43.3<br />

Gibraltar city 127 30.1 95 33.7 48 42.5<br />

Grosse Ile township 366 28.1 303 33.0 165 42.0<br />

Huron township 295 27.1 235 30.2 127 36.7<br />

Inkster city 1,245 38.2 1,029 40.4 545 45.3<br />

L<strong>in</strong>coln Park city 2,115 41.2 1,828 43.0 1,084 46.9<br />

Livonia city 4,773 34.8 4,216 37.8 2,536 45.5<br />

Melv<strong>in</strong>dale city 677 48.0 570 49.7 340 57.1<br />

Northville city 187 46.2 164 51.4 123 61.5<br />

Northville township 862 34.2 730 37.6 412 43.5<br />

Plymouth city 646 54.1 574 56.3 381 65.0<br />

Plymouth township 1,152 35.6 994 39.8 585 49.0<br />

Redford township 2,620 40.1 2,342 42.3 1,576 48.3<br />

River Rouge city 392 36.0 325 38.4 178 41.7<br />

Riverview city 885 44.5 803 49.2 545 62.2<br />

Rockwood city 129 39.4 108 44.1 56 51.4<br />

Romulus city 735 37.6 604 42.3 313 48.0<br />

Southgate city 2,054 45.6 1,810 49.0 1,092 56.1<br />

Sumpter township 230 25.3 187 28.1 85 29.2<br />

Taylor city 2,322 33.9 1,878 36.7 895 43.3<br />

Trenton city 1,317 40.7 1,151 43.1 642 51.5<br />

Van Buren township 491 29.6 355 30.8 174 34.9<br />

<strong>Wayne</strong> city 834 41.8 685 45.4 406 53.9<br />

Westland city 4,913 46.0 4,134 48.9 2,439 57.1<br />

Woodhaven city 263 31.3 183 32.6 76 33.6<br />

Wyandotte city 1,757 44.2 1,574 47.0 970 51.3<br />

People who do not reside <strong>in</strong> households live <strong>in</strong> group quarters 9 . The most frequent form<br />

<strong>of</strong> group quarters arrangement for seniors is that <strong>of</strong> nurs<strong>in</strong>g homes. Region 1-C had a<br />

total <strong>of</strong> 5,482 seniors (65+) liv<strong>in</strong>g <strong>in</strong> group quarters <strong>in</strong> 2000. Nurs<strong>in</strong>g homes accounted<br />

9<br />

Group Quarters - The group quarters population <strong>in</strong>cludes all people not liv<strong>in</strong>g <strong>in</strong> households. Two<br />

general categories <strong>of</strong> people <strong>in</strong> group quarters are recognized: (1) the <strong>in</strong>stitutionalized population and (2)<br />

the non-<strong>in</strong>stitutionalized population. The <strong>in</strong>stitutionalized population <strong>in</strong>cludes people under formally<br />

authorized, supervised care or custody <strong>in</strong> <strong>in</strong>stitutions at the time <strong>of</strong> enumeration; such as correctional<br />

<strong>in</strong>stitutions, nurs<strong>in</strong>g homes, and juvenile <strong>in</strong>stitutions. The non<strong>in</strong>stitutionalized population <strong>in</strong>cludes all<br />

people who live <strong>in</strong> group quarters other than <strong>in</strong>stitutions, such as college dormitories, military quarters, and<br />

group homes. Also, <strong>in</strong>cluded are staff resid<strong>in</strong>g at <strong>in</strong>stitutional group quarters.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 16


for 86 percent <strong>of</strong> group quarters residents and Livonia conta<strong>in</strong>ed the highest number <strong>of</strong><br />

group quarters residents, hous<strong>in</strong>g just over one-quarter <strong>of</strong> the region’s total.<br />

Table 17. Group Quarters Population, 65 Years and Over, <strong>in</strong> Region 1-C, 2000<br />

Total Institutional Nurs<strong>in</strong>g<br />

Homes<br />

Non-<br />

Institutional<br />

Region 1-C 5,482 4,698 4,458 784<br />

Allen Park city 273 272 272 1<br />

Belleville city 8 0 0 8<br />

Brownstown township 11 0 0 11<br />

Canton township 4 0 0 4<br />

Dearborn city 189 157 154 32<br />

Dearborn Heights city 425 339 339 86<br />

Ecorse city 1 1 0 0<br />

Flat Rock city 5 0 0 5<br />

Garden City city 7 1 0 6<br />

Gibraltar city 1 0 0 1<br />

Grosse Ile township 1 0 0 1<br />

Huron township 8 0 0 8<br />

Inkster city 67 62 62 5<br />

L<strong>in</strong>coln Park city 80 80 80 0<br />

Livonia city 1,448 1,041 952 407<br />

Melv<strong>in</strong>dale city 5 0 0 5<br />

Northville city 33 32 32 1<br />

Northville township 231 153 126 78<br />

Plymouth city 171 166 166 5<br />

Plymouth township 11 10 0 1<br />

Redford township 228 217 217 11<br />

River Rouge city 0 0 0 0<br />

Riverview city 459 456 456 3<br />

Rockwood city 4 0 0 4<br />

Romulus city 31 13 0 18<br />

Southgate city 95 80 80 15<br />

Sumpter township 0 0 0 0<br />

Taylor city 482 451 409 31<br />

Trenton city 154 153 153 1<br />

Van Buren township 6 0 0 6<br />

<strong>Wayne</strong> city 276 270 270 6<br />

Westland city 615 612 560 3<br />

Woodhaven city 132 130 130 2<br />

Wyandotte city 21 2 0 19<br />

Disability Status<br />

The 2000 Census <strong>in</strong>cluded “disability questions” that were asked <strong>in</strong> the follow<strong>in</strong>g<br />

manner:<br />

16. Does this person have any <strong>of</strong> the follow<strong>in</strong>g long-last<strong>in</strong>g conditions:<br />

a. Bl<strong>in</strong>dness, deafness, or a severe vision or hear<strong>in</strong>g impairment?<br />

b. A condition that substantially limits one or more basic physical activities such as walk<strong>in</strong>g, climb<strong>in</strong>g<br />

stairs, reach<strong>in</strong>g, lift<strong>in</strong>g, or carry<strong>in</strong>g? Yes No<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 17


17. Because <strong>of</strong> a physical, mental, or emotional condition last<strong>in</strong>g 6 months or more, does this person<br />

have any difficulty <strong>in</strong> do<strong>in</strong>g any <strong>of</strong> the follow<strong>in</strong>g activities:<br />

a. Learn<strong>in</strong>g, remember<strong>in</strong>g, or concentrat<strong>in</strong>g? Yes No<br />

b. Dress<strong>in</strong>g, bath<strong>in</strong>g, or gett<strong>in</strong>g around <strong>in</strong>side the home? Yes No<br />

c. (Answer if this person is 16 years old or over.) Go<strong>in</strong>g outside the home alone to shop or visit a doctor’s<br />

<strong>of</strong>fice? Yes No<br />

d. (Answer if this person is 16 years old or over.) Work<strong>in</strong>g at a job or bus<strong>in</strong>ess? Yes No<br />

Table 18. Percent Disability by Type for the Population 65+, <strong>in</strong> Region 1-C, 2000<br />

Community<br />

Total<br />

disabilities<br />

tallied<br />

Sensory Physical Mental Self-care* Go-outsidehome<br />

Region 1-C 107,209 16.4 34.5 12.3 11.0 25.7<br />

Allen Park city 4,010 16.7 32.8 10.7 11.1 28.7<br />

Belleville city 519 15.6 31.6 16.6 8.7 27.6<br />

Brownstown township 1,180 18.0 38.1 5.6 8.1 30.2<br />

Canton township 3,312 16.4 35.0 13.6 9.9 25.0<br />

Dearborn city 12,601 16.8 32.7 12.6 11.5 26.4<br />

Dearborn Heights city 8,738 15.8 33.6 11.3 11.2 28.2<br />

Ecorse city 1,471 14.1 34.3 15.2 13.7 22.7<br />

Flat Rock city 809 16.8 39.4 14.5 7.7 21.6<br />

Garden City city 2,961 15.6 37.1 10.8 9.9 26.6<br />

Gibraltar city 273 22.3 28.6 10.3 8.4 30.4<br />

Grosse Ile township 896 14.4 38.2 11.4 12.7 23.3<br />

Huron township 942 16.0 30.7 14.0 14.2 25.1<br />

Inkster city 3,233 11.4 34.9 14.6 13.7 25.3<br />

L<strong>in</strong>coln Park city 5,314 17.7 33.3 11.6 10.3 27.2<br />

Livonia city 10,952 16.3 32.5 13.0 10.9 27.4<br />

Melv<strong>in</strong>dale city 1,417 16.6 36.3 12.0 10.0 25.1<br />

Northville city 314 13.4 36.6 6.1 3.5 40.4<br />

Northville township 2,034 15.7 33.5 12.6 12.8 25.3<br />

Plymouth city 1,030 20.6 40.5 7.3 10.8 20.9<br />

Plymouth township 2,537 15.6 34.5 11.1 11.4 27.4<br />

Redford township 5,799 19.2 34.5 12.0 11.4 23.0<br />

River Rouge city 1,181 11.8 33.6 13.9 11.9 28.9<br />

Riverview city 2,153 16.8 32.0 15.4 12.2 23.6<br />

Rockwood city 214 10.7 30.4 11.2 9.3 38.3<br />

Romulus city 2,073 14.3 34.0 12.3 10.7 28.8<br />

Southgate city 4,340 18.2 36.1 13.3 9.7 22.7<br />

Sumpter township 871 16.6 35.4 9.2 12.6 26.2<br />

Taylor city 5,961 16.0 35.6 12.8 11.3 24.3<br />

Trenton city 2,493 15.8 40.7 10.5 9.4 23.5<br />

Van Buren township 1,408 18.5 36.9 13.1 10.8 20.7<br />

<strong>Wayne</strong> city 1,982 20.0 34.0 10.1 15.3 20.5<br />

Westland city 9,571 15.7 36.3 12.9 10.2 24.9<br />

Woodhaven city 753 15.0 32.7 14.6 15.8 21.9<br />

Wyandotte city 3,867 17.6 35.8 12.6 10.3 23.7<br />

* A self-care disability is one that affects activities <strong>of</strong> daily liv<strong>in</strong>g, such as gett<strong>in</strong>g around <strong>in</strong>side the<br />

home,gett<strong>in</strong>g <strong>in</strong> or out <strong>of</strong> a bed or chair, bath<strong>in</strong>g, dress<strong>in</strong>g, eat<strong>in</strong>g, and toilet<strong>in</strong>g.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 18


Table 18 provides data on the total number <strong>of</strong> yes responses gathered from persons 65<br />

years <strong>of</strong> age and over <strong>in</strong> Region 1-C, while Table 19 allows for the isolation <strong>of</strong> persons<br />

report<strong>in</strong>g s<strong>in</strong>gle and multiple disabilities. One can see <strong>in</strong> Table 18 that, while the number<br />

<strong>of</strong> responses varied across the communities, the general pattern <strong>of</strong> responses was quite<br />

similar. The disability most <strong>of</strong>ten acknowledged, represent<strong>in</strong>g one-third (34.5 percent) <strong>of</strong><br />

responses <strong>in</strong> the region, was physical. This was followed by a limitation for go<strong>in</strong>g<br />

outside the home – represent<strong>in</strong>g one quarter (25.7 percent) <strong>of</strong> all responses <strong>in</strong> each sector.<br />

Sensory, self-care and mobility disabilities were each mentioned <strong>in</strong> the order <strong>of</strong> 11-16<br />

percent <strong>of</strong> the time.<br />

Table 19. Detailed Disability Rates <strong>of</strong> the Population 65+, <strong>in</strong> Region 1-C, 2000<br />

Community<br />

No<br />

Disability*<br />

Persons Report<strong>in</strong>g One Disability<br />

Total*<br />

Go-<br />

Physical** outside-<br />

home**<br />

Persons Report<strong>in</strong>g 2 or More Disabilities<br />

Total* Includes<br />

Selfcare**<br />

Does not <strong>in</strong>clude<br />

Self-care**<br />

Region 1-C 57.6 21.0 10.1 5.9 21.3 9.0 12.3<br />

Allen Park city 64.3 17.7 7.6 5.7 18.0 7.6 10.5<br />

Belleville city 51.8 25.7 11.1 3.2 22.5 7.6 15.0<br />

Brownstown township 51.0 22.6 11.7 5.9 26.4 7.2 19.2<br />

Canton township 61.4 20.1 10.0 4.8 18.5 7.2 11.3<br />

Dearborn city 57.6 21.2 9.0 6.9 21.2 9.2 11.9<br />

Dearborn Heights city 55.9 23.7 10.7 7.7 20.4 9.1 11.3<br />

Ecorse city 48.8 21.6 11.2 6.7 29.6 14.8 14.8<br />

Flat Rock city 46.6 24.4 16.4 4.9 28.9 7.8 21.2<br />

Garden City city 61.1 20.4 10.4 6.1 18.6 7.0 11.5<br />

Gibraltar city 60.7 21.6 5.0 7.9 17.7 6.1 11.6<br />

Grosse Ile township 65.8 17.4 10.0 3.6 16.8 8.7 8.0<br />

Huron township 54.8 25.4 8.7 9.5 19.8 12.6 7.2<br />

Inkster city 49.2 21.7 10.8 7.9 29.1 13.9 15.1<br />

L<strong>in</strong>coln Park city 51.1 24.8 11.4 8.2 24.1 9.4 14.7<br />

Livonia city 64.5 18.1 8.2 5.3 17.4 7.4 10.1<br />

Melv<strong>in</strong>dale city 49.9 26.7 14.3 7.9 23.5 9.7 13.7<br />

Northville city 52.4 28.3 10.7 13.1 19.3 2.6 16.7<br />

Northville township 64.1 16.1 8.2 4.1 19.8 9.3 10.5<br />

Plymouth city 57.9 23.5 13.9 2.8 18.6 8.3 10.3<br />

Plymouth township 60.3 22.2 11.5 5.8 17.5 8.7 8.8<br />

Redford township 59.7 21.0 9.7 4.0 19.3 8.6 10.7<br />

River Rouge city 48.8 19.2 9.0 6.1 32.0 12.7 19.2<br />

Riverview city 56.4 15.9 7.0 2.2 27.7 11.9 15.8<br />

Rockwood city 65.4 13.1 4.5 7.1 21.5 6.4 15.1<br />

Romulus city 45.4 21.5 10.4 6.8 33.1 12.3 20.8<br />

Southgate city 55.0 21.9 10.7 5.9 23.1 8.7 14.4<br />

Sumpter township 48.2 23.8 11.6 6.9 28.0 12.5 15.5<br />

Taylor city 55.6 21.1 10.5 5.9 23.3 9.5 13.8<br />

Trenton city 63.7 18.5 11.1 3.9 17.8 6.3 11.5<br />

Van Buren township 54.6 23.6 13.2 4.7 21.8 9.8 12.0<br />

<strong>Wayne</strong> city 53.5 21.6 10.7 4.4 24.9 14.9 10.0<br />

Westland city 54.1 23.6 12.7 5.8 22.3 8.9 13.4<br />

Woodhaven city 58.5 12.0 5.4 4.7 29.6 16.0 13.6<br />

Wyandotte city 55.7 20.6 11.1 4.6 23.7 9.0 14.7<br />

* Percent <strong>of</strong> all <strong>Senior</strong>s (65+) with<strong>in</strong> the designated geographic area.<br />

** Percent <strong>of</strong> <strong>Senior</strong>s (65+) with<strong>in</strong> specific disability category (one disability; two or more disabilities)<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 19


A more detailed look at the responses given to the disability questions allows for a better<br />

understand<strong>in</strong>g <strong>of</strong> the health conditions <strong>of</strong> seniors across the region. The correlation<br />

between economic status and liv<strong>in</strong>g arrangements with disability report<strong>in</strong>g is quite clear.<br />

Communities with higher shares <strong>of</strong> low <strong>in</strong>come seniors, and seniors liv<strong>in</strong>g alone, come <strong>in</strong><br />

with higher rates <strong>of</strong> reported disabilities. These higher rates also translate to greater<br />

numbers <strong>of</strong> seniors report<strong>in</strong>g the presence <strong>of</strong> more than one disability.<br />

In all communities, persons respond<strong>in</strong>g with only one disability were most likely to<br />

identify it as physical or related to go<strong>in</strong>g outside the home. Another common thread<br />

across the vast majority <strong>of</strong> communities was the higher percentage <strong>of</strong> persons with<br />

multiple disabilities not <strong>in</strong>clud<strong>in</strong>g self-care as one <strong>of</strong> them.<br />

Educational Atta<strong>in</strong>ment and Language Usage<br />

The f<strong>in</strong>al two demographic tables look at persons 65 years and over <strong>in</strong> terms <strong>of</strong> their<br />

educational atta<strong>in</strong>ment and language usage. While educational atta<strong>in</strong>ment is an important<br />

<strong>in</strong>dicator <strong>of</strong> socioeconomic status and potential need, the relationship is not always clear<br />

due to the fact that many <strong>of</strong> the area’s elderly were able to come to Detroit dur<strong>in</strong>g the last<br />

century and get good jobs <strong>in</strong> the auto plants with m<strong>in</strong>imal education. Nevertheless,<br />

educational atta<strong>in</strong>ment is an important <strong>in</strong>dicator, and the lack <strong>of</strong> a high school diploma<br />

can signal potential illiteracy. Language spoken at home and the ability to speak English<br />

are quite important <strong>in</strong>dicators for service providers. There cont<strong>in</strong>ues to be a large<br />

segment <strong>of</strong> immigrants from the mid-1900s who never learned English well, who are<br />

be<strong>in</strong>g jo<strong>in</strong>ed by recent immigrants with little English capability. Providers <strong>of</strong> ag<strong>in</strong>g<br />

services need to know where these people live and develop procedures to reach them <strong>in</strong><br />

their language.<br />

Table 20 shows a wide discrepancy <strong>in</strong> educational atta<strong>in</strong>ment across the communities.<br />

While persons 65 years and over across the region reported a 63 percent high school<br />

graduation rate, residents <strong>of</strong> Ecorse reported a rate <strong>of</strong> 41 percent (lowest among the 34<br />

communities) while those <strong>in</strong> Grosse Ile and Northville townships reported rates <strong>of</strong> 85 and<br />

83 percent, respectively. Inkster, Melv<strong>in</strong>dale, River Rouge and Sumpter township all<br />

reported rates <strong>of</strong> 50 percent or less, demonstrat<strong>in</strong>g that the correlation between education<br />

(at least at the high school graduate level) and socioeconomic status is strong.<br />

Table 21 summarizes data on the language that the elderly speak at home and, if it is<br />

other than English, their perceived ability to speak English. Across the region, 87.5<br />

percent <strong>of</strong> the residents reported speak<strong>in</strong>g only English at home. However, <strong>in</strong><br />

communities such as Dearborn and Dearborn Heights, with their large numbers <strong>of</strong> Middle<br />

Eastern residents, the share drops to 78 percent and more than 20 percent <strong>of</strong> the non<br />

English-exclusive speakers report problems with speak<strong>in</strong>g English at all. It is also worth<br />

po<strong>in</strong>t<strong>in</strong>g out that there are other communities with high shares <strong>of</strong> English-only speakers,<br />

which have high percentages <strong>of</strong> persons with difficulty speak<strong>in</strong>g English. Examples <strong>of</strong><br />

such communities are Canton township, Southgate and Woodhaven.<br />

The <strong>Senior</strong> Alliance will need to be aware <strong>of</strong> all the characteristics that have been<br />

documented <strong>in</strong> this section to prioritize and plan the services that they deliver.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 20


Table 20. Educational Atta<strong>in</strong>ment <strong>of</strong> the Population 65+, <strong>in</strong> Region 1-C, 2000<br />

Community<br />

Percent High<br />

School Grad<br />

or higher<br />

Some<br />

College, no<br />

degree<br />

Percent<br />

College<br />

Grad or<br />

higher<br />

Region 1-C 63.1 14.2 12.0<br />

Allen Park city 71.9 16.7 11.0<br />

Belleville city 50.6 8.4 7.2<br />

Brownstown township 56.0 11.0 10.9<br />

Canton township 68.1 17.5 13.2<br />

Dearborn city 68.0 15.3 17.3<br />

Dearborn Heights city 60.8 12.6 10.7<br />

Ecorse city 40.6 9.1 4.0<br />

Flat Rock city 55.4 14.2 5.6<br />

Garden City city 55.3 12.7 6.7<br />

Gibraltar city 50.1 5.5 14.0<br />

Grosse Ile township 85.4 21.4 38.1<br />

Huron township 52.5 9.6 10.3<br />

Inkster city 48.0 12.5 7.6<br />

L<strong>in</strong>coln Park city 50.5 6.6 4.2<br />

Livonia city 73.3 16.5 18.4<br />

Melv<strong>in</strong>dale city 48.7 9.1 1.9<br />

Northville city 73.2 23.9 25.2<br />

Northville township 83.2 25.5 26.0<br />

Plymouth city 69.5 19.9 13.0<br />

Plymouth township 78.1 19.5 25.3<br />

Redford township 70.8 16.9 11.1<br />

River Rouge city 50.0 13.1 8.0<br />

Riverview city 62.4 14.8 7.9<br />

Rockwood city 65.4 17.9 8.7<br />

Romulus city 44.6 11.0 4.1<br />

Southgate city 53.9 10.0 6.2<br />

Sumpter township 43.4 9.4 8.3<br />

Taylor city 54.5 10.3 5.6<br />

Trenton city 67.9 16.7 11.9<br />

Van Buren township 57.6 15.3 13.3<br />

<strong>Wayne</strong> city 58.4 13.8 9.6<br />

Westland city 58.6 12.0 9.4<br />

Woodhaven city 59.4 12.7 3.2<br />

Wyandotte city 54.8 11.9 6.1<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 21


Table 21. Language Spoken by the Population 65+, <strong>in</strong> Region 1-C, 2000<br />

Community<br />

Persons<br />

65 years<br />

and over<br />

Only<br />

English<br />

Percent<br />

<strong>of</strong> total<br />

Spanish<br />

Indo<br />

European<br />

Asian and<br />

Pacific<br />

Other<br />

% <strong>of</strong> Other<br />

Language<br />

Speakers<br />

who Speak<br />

English not<br />

well, not at<br />

all<br />

Region 1-C 134,457 117,634 87.5 1,754 11,539 572 2,958 18.8<br />

Allen Park city 6,190 5,456 88.1 132 505 0 97 8.9<br />

Belleville city 595 543 91.3 0 42 0 10 23.1<br />

Brownstown township 1,332 1,194 89.6 13 90 0 35 0.0<br />

Canton township 4,579 3,873 84.6 107 422 112 65 23.8<br />

Dearborn city 15,289 11,923 78.0 218 2,049 35 1,064 28.8<br />

Dearborn Heights city 10,877 8,498 78.1 138 1,800 55 386 20.7<br />

Ecorse city 1,366 1,214 88.9 86 66 0 0 31.6<br />

Flat Rock city 798 765 95.9 10 13 0 10 15.2<br />

Garden City city 4,068 3,742 92.0 29 249 0 48 14.4<br />

Gibraltar city 379 340 89.7 0 26 4 9 23.1<br />

Grosse Ile township 1,306 1,143 87.5 27 102 6 28 14.1<br />

Huron township 1,062 967 91.1 7 80 0 8 7.4<br />

Inkster city 3,207 3,042 94.9 29 107 13 16 18.8<br />

L<strong>in</strong>coln Park city 5,662 5,067 89.5 141 302 6 146 13.9<br />

Livonia city 16,965 14,990 88.4 112 1,515 93 255 16.0<br />

Melv<strong>in</strong>dale city 1,448 1,247 86.1 86 115 0 0 17.4<br />

Northville city 444 425 95.7 0 19 0 0 0.0<br />

Northville township 2,926 2,678 91.5 17 199 22 10 6.0<br />

Plymouth city 1,506 1,391 92.4 19 50 7 39 6.1<br />

Plymouth township 3,349 3,090 92.3 12 165 21 61 17.0<br />

Redford township 7,831 7,023 89.7 77 580 32 119 14.0<br />

River Rouge city 1,061 960 90.5 25 71 0 5 16.8<br />

Riverview city 2,676 2,420 90.4 29 178 0 49 6.6<br />

Rockwood city 312 298 95.5 0 0 0 14 0.0<br />

Romulus city 1,776 1,670 94.0 19 87 0 0 25.5<br />

Southgate city 4,916 4,182 85.1 111 497 4 122 20.7<br />

Sumpter township 882 841 95.4 9 21 0 11 22.0<br />

Taylor city 7,267 6,645 91.4 98 377 32 115 10.5<br />

Trenton city 3,854 3,567 92.6 37 219 0 31 8.4<br />

Van Buren township 1,545 1,460 94.5 6 36 10 33 31.8<br />

<strong>Wayne</strong> city 2,226 2,117 95.1 0 28 81 0 67.0<br />

Westland city 11,474 10,393 90.6 98 837 33 113 10.3<br />

Woodhaven city 875 736 84.1 14 105 6 14 38.8<br />

Wyandotte city 4,414 3,734 84.6 48 587 0 45 13.2<br />

Hous<strong>in</strong>g Characteristics<br />

The f<strong>in</strong>al issue that we will address is that <strong>of</strong> tenure – whether the seniors live <strong>in</strong> owneroccupied<br />

or renter-occupied hous<strong>in</strong>g. The previous section described the numbers <strong>of</strong><br />

seniors liv<strong>in</strong>g <strong>in</strong> households vs. group quarters. It also described the liv<strong>in</strong>g arrangements<br />

– liv<strong>in</strong>g alone or with others – <strong>of</strong> the senior population <strong>in</strong> households. Now we look at<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 22


whether these seniors are own<strong>in</strong>g or rent<strong>in</strong>g their liv<strong>in</strong>g quarters. 10 Table 22 shows that<br />

seniors are primarily homeowners. Almost 9 <strong>of</strong> every 10 householders between 55 and<br />

75 years <strong>of</strong> age own their home. This share drops slightly to 79 percent for householders<br />

Table 22. Homeownership Rates by Age, <strong>in</strong> Region 1-C, 2000<br />

Community 55-64 years 65-74 years 75-84 years 85+ years<br />

Region 1-C 86.1 86.0 79.3 63.2<br />

Allen Park city 91.4 92.3 89.7 80.5<br />

Belleville city 77.1 70.8 65.7 54.3<br />

Brownstown township 85.5 84.0 84.4 81.3<br />

Canton township 89.9 85.5 75.8 56.8<br />

Dearborn city 81.7 82.3 78.2 69.0<br />

Dearborn Heights city 91.8 92.5 88.1 77.5<br />

Ecorse city 78.7 80.5 81.6 89.1<br />

Flat Rock city 84.8 79.7 75.1 52.2<br />

Garden City city 92.1 92.3 85.4 67.2<br />

Gibraltar city 90.5 89.1 89.2 94.1<br />

Grosse Ile township 96.4 94.9 94.6 96.9<br />

Huron township 97.0 95.1 92.3 98.0<br />

Inkster city 75.1 76.7 74.0 55.7<br />

L<strong>in</strong>coln Park city 82.7 88.4 88.7 85.4<br />

Livonia city 94.5 91.9 83.1 59.1<br />

Melv<strong>in</strong>dale city 71.3 82.6 76.2 77.2<br />

Northville city 76.5 73.2 47.0 33.3<br />

Northville township 88.5 88.6 77.6 59.3<br />

Plymouth city 75.3 76.3 66.4 58.9<br />

Plymouth township 94.0 90.8 76.8 50.9<br />

Redford township 92.7 94.5 91.5 71.0<br />

River Rouge city 71.5 77.2 84.5 82.0<br />

Riverview city 83.5 77.8 48.0 14.7<br />

Rockwood city 81.6 76.6 60.3 62.5<br />

Romulus city 81.9 78.2 73.2 63.9<br />

Southgate city 83.0 80.5 68.0 47.3<br />

Sumpter township 96.4 95.4 97.4 94.1<br />

Taylor city 84.9 87.0 79.2 69.9<br />

Trenton city 87.1 86.9 80.8 65.8<br />

Van Buren township 80.8 88.8 87.8 86.0<br />

<strong>Wayne</strong> city 75.9 76.6 70.7 56.3<br />

Westland city 77.3 76.4 59.5 30.1<br />

Woodhaven city 83.2 84.7 67.1 46.4<br />

Wyandotte city 83.0 80.4 80.5 76.2<br />

75-84 years <strong>of</strong> age, and rema<strong>in</strong>s at better than 6 <strong>of</strong> 10 for persons 85 years and over.<br />

While home ownership is an important asset, these numbers <strong>in</strong>dicate a large segment <strong>of</strong><br />

the senior population liv<strong>in</strong>g <strong>in</strong> s<strong>in</strong>gle-family dwell<strong>in</strong>gs, <strong>of</strong>ten quite separate from<br />

neighbors and family. Home health care and chore services become a very important part<br />

<strong>of</strong> a service portfolio.<br />

10 The tenure data are based on senior householders by age, rather than all seniors liv<strong>in</strong>g <strong>in</strong> households.<br />

<strong>Senior</strong>s who are not householders are not <strong>in</strong>cluded <strong>in</strong> this analysis.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 23


Table 23 highlights the importance <strong>of</strong> seniors to each <strong>of</strong> the region’s communities by<br />

look<strong>in</strong>g at the share <strong>of</strong> owner and renter units that they head. Such a tabulation is also<br />

important to a community when it is plann<strong>in</strong>g for the future and gaug<strong>in</strong>g the potential for<br />

turnover <strong>of</strong> hous<strong>in</strong>g stock. One can see from the table that persons 55 and over head 39<br />

percent <strong>of</strong> the region’s owner-occupied hous<strong>in</strong>g and 26 percent <strong>of</strong> its rental stock. In the<br />

communities <strong>of</strong> Allen Park, Dearborn Heights, Ecorse and Trenton ownership rates reach<br />

close to half <strong>of</strong> all units. A clear knowledge <strong>of</strong> the liv<strong>in</strong>g arrangements <strong>of</strong> the senior<br />

population is extremely important <strong>in</strong> order to maximize service delivery.<br />

Table 23. Percent <strong>of</strong> the Population 55+, by Detailed Age Cohort, By Tenure, <strong>in</strong> Region 1-C, 2000<br />

Community<br />

Owner-Occupied units<br />

Renter-Occupied Units<br />

55-64 years 65-74 years 75-84 years 85+ years 55-64 years 65-74 years 75-84 years 85+ years<br />

Region 1-C 14.8 12.8 9.3 1.9 7.7 6.7 7.8 3.6<br />

Allen Park city 12.5 14.5 16.7 3.3 8.6 8.8 13.9 5.7<br />

Belleville city 13.5 11.8 9.0 1.9 10.1 12.2 11.9 4.0<br />

Brownstown township 14.3 6.7 3.9 0.8 7.5 4.0 2.2 0.6<br />

Canton township 13.8 6.2 3.6 0.6 5.8 4.0 4.3 1.8<br />

Dearborn city 12.7 12.2 14.0 4.4 7.9 7.3 10.8 5.4<br />

Dearborn Heights city 14.3 16.8 12.9 2.4 7.5 8.0 10.2 4.1<br />

Ecorse city 17.5 17.0 11.2 3.1 7.7 6.7 4.1 0.6<br />

Flat Rock city 13.6 10.0 7.5 1.0 6.4 6.7 6.5 2.5<br />

Garden City city 13.8 15.5 8.1 1.2 7.3 8.1 8.6 3.7<br />

Gibraltar city 21.8 11.0 5.8 1.3 6.3 3.7 2.0 0.2<br />

Grosse Ile township 22.0 12.4 6.3 1.6 12.6 10.3 5.5 0.8<br />

Huron township 15.5 8.8 4.4 1.1 6.8 6.5 5.2 0.3<br />

Inkster city 17.7 15.1 9.8 1.6 8.1 6.3 4.7 1.7<br />

L<strong>in</strong>coln Park city 12.0 12.7 11.9 2.5 9.5 6.3 5.7 1.6<br />

Livonia city 15.2 14.9 9.7 1.6 6.9 10.4 15.6 9.0<br />

Melv<strong>in</strong>dale city 14.8 14.5 10.6 2.9 12.3 6.4 6.9 1.8<br />

Northville city 17.6 10.3 6.3 2.5 8.6 6.0 11.3 8.0<br />

Northville township 21.0 14.3 9.2 1.2 7.6 5.1 7.4 2.3<br />

Plymouth city 11.8 11.2 9.3 3.3 7.3 6.6 8.9 4.4<br />

Plymouth township 19.2 12.8 6.8 1.3 6.1 6.5 10.4 6.4<br />

Redford township 10.4 11.3 11.7 2.6 7.5 6.0 10.0 9.6<br />

River Rouge city 16.0 14.3 11.9 3.5 8.7 5.8 3.0 1.0<br />

Riverview city 19.2 16.9 8.1 0.9 6.9 8.8 15.8 9.5<br />

Rockwood city 16.1 10.2 4.9 1.0 9.9 8.5 8.7 1.7<br />

Romulus city 16.4 9.5 5.5 1.2 8.6 6.3 4.8 1.6<br />

Southgate city 15.5 15.0 11.1 1.5 7.6 8.7 12.5 4.1<br />

Sumpter township 14.2 8.7 4.8 0.8 6.6 5.2 1.6 0.7<br />

Taylor city 17.2 14.3 6.5 1.2 7.4 5.2 4.1 1.2<br />

Trenton city 15.3 18.7 11.6 2.0 9.6 12.0 11.6 4.3<br />

Van Buren township 15.5 9.2 4.8 0.8 5.7 1.8 1.0 0.2<br />

<strong>Wayne</strong> city 15.5 11.5 7.9 1.6 9.2 6.6 6.1 2.3<br />

Westland city 15.2 13.4 7.4 1.2 7.5 7.0 8.5 4.8<br />

Woodhaven city 18.2 7.6 3.0 0.4 9.7 3.6 3.9 1.2<br />

Wyandotte city 12.3 13.3 13.2 2.9 6.8 8.8 8.6 2.4<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 24


Conclusions and Recommendations<br />

While the rate <strong>of</strong> growth <strong>in</strong> Region 1-C’s senior population has slowed <strong>in</strong> recent years,<br />

trends with<strong>in</strong> this group will be important to consider when plann<strong>in</strong>g services over the<br />

com<strong>in</strong>g years.<br />

The overall population 60 and over is ag<strong>in</strong>g, with<strong>in</strong> significant <strong>in</strong>creases <strong>in</strong> both the “75 –<br />

84 years” and “85 and over” age cohorts. The <strong>in</strong>creas<strong>in</strong>g disability rate among these<br />

groups po<strong>in</strong>t to the <strong>in</strong>creased necessity <strong>of</strong> differential service plann<strong>in</strong>g across<br />

communities. The m<strong>in</strong>ority component <strong>of</strong> the elderly is grow<strong>in</strong>g, fueled by migration <strong>of</strong><br />

African Americans and Hispanics from Detroit and the cont<strong>in</strong>ued growth <strong>of</strong> the Arab<br />

population <strong>in</strong> Dearborn, Dearborn Heights and other communities. While poverty among<br />

seniors has decreased across PSA 1-C’s service area, there are pockets (communities)<br />

where the share cont<strong>in</strong>ues to be large. Similar discrepancies among communities show<br />

up for other factors such as share liv<strong>in</strong>g alone, disability rates and educational atta<strong>in</strong>ment.<br />

PSA 1-C encompasses a variety <strong>of</strong> communities with very different population<br />

characteristics. This demographic analysis is only one component <strong>of</strong> what is necessary<br />

for a proper understand<strong>in</strong>g <strong>of</strong> the characteristics and needs <strong>of</strong> the Region’s seniors.<br />

A <strong>Demographic</strong> <strong>Pr<strong>of</strong>ile</strong> <strong>of</strong> <strong>Senior</strong>s <strong>in</strong> PSA 1-C 25


Appendix A<br />

<strong>Wayne</strong> <strong>County</strong> Tables


TABLE 1. GENERAL POPULATION TRENDS BY COMMUNITY IN WAYNE COUNTY, 1990 - 2000<br />

COMMUNITIES<br />

<strong>Wayne</strong><br />

<strong>County</strong><br />

Allen Park<br />

city<br />

Belleville<br />

city<br />

Brownstown<br />

township<br />

Canton<br />

township<br />

Dearborn<br />

city<br />

Dearborn<br />

Heights<br />

city<br />

Detroit<br />

city<br />

Ecorse city Flat Rock<br />

city<br />

Garden<br />

City city<br />

Gibraltar<br />

city<br />

Grosse Ile<br />

township<br />

2000 AGE DISTRIBUTION<br />

Total Population 2,061,162 29,376 3,997 22,989 76,366 97,775 58,264 951,270 11,229 8,488 30,047 4,264 10,894<br />

Total 60 years and over 319,085 7,245 757 1,988 6,469 18,391 13,515 128,400 1,808 1,054 5,162 593 1,897<br />

60 to 64 years 70,103 1,109 151 655 1,938 3,159 2,601 29,344 423 245 1,097 212 605<br />

Total 65 years and over 130,038 2,702 311 786 2,578 6,390 5,682 52,863 802 432 2,552 244 801<br />

65 to 69 years 64,715 1,108 149 415 1,385 2,896 2,747 27,054 412 216 1,284 142 442<br />

70 to 74 years 65,323 1,594 162 371 1,193 3,494 2,935 25,809 390 216 1,268 102 359<br />

Total 75 years and over 118,944 3,434 295 547 1,953 8,842 5,232 46,193 583 377 1,513 137 491<br />

75 to 79 years 55,695 1,669 136 294 958 3,769 2,557 21,560 298 196 861 78 248<br />

80 to 84 years 36,031 1,067 104 149 620 2,898 1,635 13,653 171 120 408 36 146<br />

Total 85 years and over 27,218 698 55 104 375 2,175 1,040 10,980 114 61 244 23 97<br />

1990 AGE DISTRIBUTION<br />

Total Population 2,111,687 31,092 3,270 18,811 57,040 89,286 60,838 1,027,974 12,180 7,290 31,846 4,297 9,781<br />

Total 60 years and over 360,304 8,436 700 1,430 4,002 20,687 14,265 167,219 2,057 1,021 5,089 446 1,414<br />

60 to 64 years 95,802 2,131 162 449 1,244 4,631 4,040 42,286 573 305 1,936 158 476<br />

Total 65 years and over 264,502 6,305 538 981 2,758 16,056 10,225 124,933 1,484 716 3,153 288 938<br />

65 to 69 years 91,027 2,354 176 386 1,077 5,084 3,838 41,574 550 294 1,385 109 359<br />

70 to 74 years 69,672 1,768 151 290 742 4,422 2,860 32,464 406 200 834 82 258<br />

Total 75 years and over 103,803 2,183 211 305 939 6,550 3,527 50,895 528 222 934 97 321<br />

75 to 79 years 49,756 1,122 112 165 486 3,354 1,819 24,161 280 112 499 53 176<br />

80 to 84 years 29,345 590 63 97 294 1,860 970 14,228 148 62 241 28 91<br />

Total 85 years and over 24,702 471 36 43 159 1,336 738 12,506 100 48 194 16 54<br />

1990 - 2000 CHANGE - NUMBER<br />

Total 60 years and over -41,219 -1,191 57 558 2,467 -2,296 -750 -38,819 -249 33 73 147 483<br />

60 to 64 years -25,699 -1,022 -11 206 694 -1,472 -1,439 -12,942 -150 -60 -839 54 129<br />

Total 65 years and over -134,464 -3,603 -227 -195 -180 -9,666 -4,543 -72,070 -682 -284 -601 -44 -137<br />

65 to 69 years -26,312 -1,246 -27 29 308 -2,188 -1,091 -14,520 -138 -78 -101 33 83<br />

70 to 74 years -4,349 -174 11 81 451 -928 75 -6,655 -16 16 434 20 101<br />

Total 75 years and over 15,141 1,251 84 242 1,014 2,292 1,705 -4,702 55 155 579 40 170<br />

75 to 79 years 5,939 547 24 129 472 415 738 -2,601 18 84 362 25 72<br />

80 to 84 years 6,686 477 41 52 326 1,038 665 -575 23 58 167 8 55<br />

Total 85 years and over 2,516 227 19 61 216 839 302 -1,526 14 13 50 7 43<br />

1990 - 2000 CHANGE - PERCENT<br />

Total 60 years and over -11.4 -14.1 8.1 39.0 61.6 -11.1 -5.3 -23.2 -12.1 3.2 1.4 33.0 34.2<br />

60 to 64 years -26.8 -48.0 -6.8 45.9 55.8 -31.8 -35.6 -30.6 -26.2 -19.7 -43.3 34.2 27.1<br />

Total 65 years and over -50.8 -57.1 -42.2 -19.9 -6.5 -60.2 -44.4 -57.7 -46.0 -39.7 -19.1 -15.3 -14.6<br />

65 to 69 years -28.9 -52.9 -15.3 7.5 28.6 -43.0 -28.4 -34.9 -25.1 -26.5 -7.3 30.3 23.1<br />

70 to 74 years -6.2 -9.8 7.3 27.9 60.8 -21.0 2.6 -20.5 -3.9 8.0 52.0 24.4 39.1<br />

Total 75 years and over 14.6 57.3 39.8 79.3 108.0 35.0 48.3 -9.2 10.4 69.8 62.0 41.2 53.0<br />

75 to 79 years 11.9 48.8 21.4 78.2 97.1 12.4 40.6 -10.8 6.4 75.0 72.5 47.2 40.9<br />

80 to 84 years 22.8 80.8 65.1 53.6 110.9 55.8 68.6 -4.0 15.5 93.5 69.3 28.6 60.4<br />

Total 85 years and over 10.2 48.2 52.8 141.9 135.8 62.8 40.9 -12.2 14.0 27.1 25.8 43.8 79.6<br />

Source: 1990 Census: STF1A; 2000 Census: SF1 1 <strong>Wayne</strong> <strong>County</strong> - Ag<strong>in</strong>g <strong>Pr<strong>of</strong>ile</strong> by Community


TABLE 1. GENERAL POPULATION TRENDS BY COMMUNITY IN WAYNE COUNTY, 1990 - 2000<br />

COMMUNITIES<br />

Grosse<br />

Po<strong>in</strong>te city<br />

G. Po<strong>in</strong>te<br />

township<br />

G. Po<strong>in</strong>te<br />

Farms city<br />

G. Po<strong>in</strong>te<br />

Park city<br />

G. Po<strong>in</strong>te<br />

Woods city<br />

Hamtramck<br />

city<br />

Harper<br />

Woods city<br />

Highland<br />

Park city<br />

Huron<br />

charter<br />

township<br />

Inkster<br />

city<br />

L<strong>in</strong>coln<br />

Park city<br />

Livonia<br />

city<br />

Melv<strong>in</strong>dale<br />

city<br />

2000 AGE DISTRIBUTION<br />

Total Population<br />

Total 60 years and over<br />

60 to 64 years<br />

Total 65 years and over<br />

65 to 69 years<br />

70 to 74 years<br />

Total 75 years and over<br />

75 to 79 years<br />

80 to 84 years<br />

Total 85 years and over<br />

1990 AGE DISTRIBUTION<br />

Total Population<br />

Total 60 years and over<br />

60 to 64 years<br />

Total 65 years and over<br />

65 to 69 years<br />

70 to 74 years<br />

Total 75 years and over<br />

75 to 79 years<br />

80 to 84 years<br />

Total 85 years and over<br />

1990 - 2000 CHANGE - NUMBER<br />

Total 60 years and over<br />

60 to 64 years<br />

Total 65 years and over<br />

65 to 69 years<br />

70 to 74 years<br />

Total 75 years and over<br />

75 to 79 years<br />

80 to 84 years<br />

Total 85 years and over<br />

1990 - 2000 CHANGE - PERCENT<br />

Total 60 years and over<br />

60 to 64 years<br />

Total 65 years and over<br />

65 to 69 years<br />

70 to 74 years<br />

Total 75 years and over<br />

75 to 79 years<br />

80 to 84 years<br />

Total 85 years and over<br />

5,670 2,743 9,764 12,443 17,080 22,976 14,254 16,746 13,737 30,115 40,008 100,545 10,735<br />

1,156 847 2,194 1,790 3,804 3,375 3,218 3,022 1,541 4,252 6,965 21,325 1,829<br />

267 187 445 445 696 641 387 587 478 1,001 1,325 4,337 381<br />

412 381 939 722 1,540 1,130 1,081 1,317 655 1,829 2,856 8,961 762<br />

203 168 465 367 682 566 426 648 351 965 1,260 4,335 368<br />

209 213 474 355 858 564 655 669 304 864 1,596 4,626 394<br />

477 279 810 623 1,568 1,604 1,750 1,118 408 1,422 2,784 8,027 686<br />

189 131 384 302 730 675 780 484 215 718 1,447 3,740 331<br />

158 85 240 183 514 529 543 335 116 431 861 2,316 214<br />

130 63 186 138 324 400 427 299 77 273 476 1,971 141<br />

5,681 2,850 10,092 12,857 17,715 18,372 14,903 20,121 10,447 30,772 41,832 100,850 11,216<br />

1,222 786 2,406 2,080 4,317 4,572 5,067 3,755 1,216 4,823 8,301 19,315 2,209<br />

293 268 621 555 1,139 840 969 914 412 1,337 2,277 6,135 628<br />

929 518 1,785 1,525 3,178 3,732 4,098 2,841 804 3,486 6,024 13,180 1,581<br />

258 189 562 473 1,042 1,155 1,249 919 302 1,303 2,261 4,923 547<br />

241 134 426 380 878 1,107 1,053 715 225 944 1,661 3,345 451<br />

430 195 797 672 1,258 1,470 1,796 1,207 277 1,239 2,102 4,912 583<br />

183 95 335 263 623 791 852 584 155 604 1,127 2,103 316<br />

131 55 268 210 380 379 517 321 71 367 592 1,414 178<br />

116 45 194 199 255 300 427 302 51 268 383 1,395 89<br />

-66 61 -212 -290 -513 -1,197 -1,849 -733 325 -571 -1,336 2,010 -380<br />

-26 -81 -176 -110 -443 -199 -582 -327 66 -336 -952 -1,798 -247<br />

-517 -137 -846 -803 -1,638 -2,602 -3,017 -1,524 -149 -1,657 -3,168 -4,219 -819<br />

-55 -21 -97 -106 -360 -589 -823 -271 49 -338 -1,001 -588 -179<br />

-32 79 48 -25 -20 -543 -398 -46 79 -80 -65 1,281 -57<br />

47 84 13 -49 310 134 -46 -89 131 183 682 3,115 103<br />

6 36 49 39 107 -116 -72 -100 60 114 320 1,637 15<br />

27 30 -28 -27 134 150 26 14 45 64 269 902 36<br />

14 18 -8 -61 69 100 0 -3 26 5 93 576 52<br />

-5.4 7.8 -8.8 -13.9 -11.9 -26.2 -36.5 -19.5 26.7 -11.8 -16.1 10.4 -17.2<br />

-8.9 -30.2 -28.3 -19.8 -38.9 -23.7 -60.1 -35.8 16.0 -25.1 -41.8 -29.3 -39.3<br />

-55.7 -26.4 -47.4 -52.7 -51.5 -69.7 -73.6 -53.6 -18.5 -47.5 -52.6 -32.0 -51.8<br />

-21.3 -11.1 -17.3 -22.4 -34.5 -51.0 -65.9 -29.5 16.2 -25.9 -44.3 -11.9 -32.7<br />

-13.3 59.0 11.3 -6.6 -2.3 -49.1 -37.8 -6.4 35.1 -8.5 -3.9 38.3 -12.6<br />

10.9 43.1 1.6 -7.3 24.6 9.1 -2.6 -7.4 47.3 14.8 32.4 63.4 17.7<br />

3.3 37.9 14.6 14.8 17.2 -14.7 -8.5 -17.1 38.7 18.9 28.4 77.8 4.7<br />

20.6 54.5 -10.4 -12.9 35.3 39.6 5.0 4.4 63.4 17.4 45.4 63.8 20.2<br />

12.1 40.0 -4.1 -30.7 27.1 33.3 0.0 -1.0 51.0 1.9 24.3 41.3 58.4<br />

Source: 1990 Census: STF1A; 2000 Census: SF1 2 <strong>Wayne</strong> <strong>County</strong> - Ag<strong>in</strong>g <strong>Pr<strong>of</strong>ile</strong> by Community


TABLE 1. GENERAL POPULATION TRENDS BY COMMUNITY IN WAYNE COUNTY, 1990 - 2000<br />

COMMUNITIES<br />

Northville<br />

city<br />

Northville<br />

township<br />

Plymouth<br />

city<br />

Plymouth<br />

township<br />

Redford<br />

township<br />

River<br />

Rouge city<br />

Riverview<br />

city<br />

Rockwood<br />

city<br />

Romulus<br />

city<br />

Southgate<br />

city<br />

Sumpter<br />

township<br />

Taylor city<br />

Trenton<br />

city<br />

2000 AGE DISTRIBUTION<br />

Total Population<br />

Total 60 years and over<br />

60 to 64 years<br />

Total 65 years and over<br />

65 to 69 years<br />

70 to 74 years<br />

Total 75 years and over<br />

75 to 79 years<br />

80 to 84 years<br />

Total 85 years and over<br />

1990 AGE DISTRIBUTION<br />

Total Population<br />

Total 60 years and over<br />

60 to 64 years<br />

Total 65 years and over<br />

65 to 69 years<br />

70 to 74 years<br />

Total 75 years and over<br />

75 to 79 years<br />

80 to 84 years<br />

Total 85 years and over<br />

1990 - 2000 CHANGE - NUMBER<br />

Total 60 years and over<br />

60 to 64 years<br />

Total 65 years and over<br />

65 to 69 years<br />

70 to 74 years<br />

Total 75 years and over<br />

75 to 79 years<br />

80 to 84 years<br />

Total 85 years and over<br />

1990 - 2000 CHANGE - PERCENT<br />

Total 60 years and over<br />

60 to 64 years<br />

Total 65 years and over<br />

65 to 69 years<br />

70 to 74 years<br />

Total 75 years and over<br />

75 to 79 years<br />

80 to 84 years<br />

Total 85 years and over<br />

3,107 21,036 9,022 27,798 51,622 9,917 13,272 3,442 22,979 30,136 11,856 65,868 19,584<br />

580 3,899 1,741 4,600 9,263 1,403 3,232 451 2,587 6,133 1,261 9,862 4,774<br />

132 979 276 1,180 1,565 350 613 127 783 1,243 385 2,625 937<br />

186 1,533 626 1,971 3,493 569 1,239 196 1,055 2,543 526 4,439 2,207<br />

86 784 288 1,037 1,505 304 611 99 582 1,154 291 2,432 1,050<br />

100 749 338 934 1,988 265 628 97 473 1,389 235 2,007 1,157<br />

262 1,387 839 1,449 4,205 484 1,380 128 749 2,347 350 2,798 1,630<br />

92 668 286 669 1,941 211 542 81 356 1,250 166 1,372 849<br />

79 452 279 446 1,303 158 414 26 241 680 118 819 473<br />

91 267 274 334 961 115 424 21 152 417 66 607 308<br />

2,859 17,313 9,560 23,648 54,387 11,314 13,894 3,141 22,897 30,771 10,891 70,811 20,586<br />

571 2,488 2,004 3,479 12,066 1,819 2,691 402 2,403 5,967 1,187 8,505 4,368<br />

126 782 438 1,144 3,094 461 686 133 743 1,828 383 2,873 1,410<br />

445 1,706 1,566 2,335 8,972 1,358 2,005 269 1,660 4,139 804 5,632 2,958<br />

96 713 380 846 3,224 445 555 101 596 1,733 307 2,229 1,143<br />

94 457 352 614 2,397 396 423 57 480 1,077 229 1,436 780<br />

255 536 834 875 3,351 517 1,027 111 584 1,329 268 1,967 1,035<br />

106 284 328 466 1,452 272 360 58 296 700 141 965 476<br />

78 166 238 263 924 138 305 29 196 355 71 561 285<br />

71 86 268 146 975 107 362 24 92 274 56 441 274<br />

9 1,411 -263 1,121 -2,803 -416 541 49 184 166 74 1,357 406<br />

6 197 -162 36 -1,529 -111 -73 -6 40 -585 2 -248 -473<br />

-259 -173 -940 -364 -5,479 -789 -766 -73 -605 -1,596 -278 -1,193 -751<br />

-10 71 -92 191 -1,719 -141 56 -2 -14 -579 -16 203 -93<br />

6 292 -14 320 -409 -131 205 40 -7 312 6 571 377<br />

7 851 5 574 854 -33 353 17 165 1,018 82 831 595<br />

-14 384 -42 203 489 -61 182 23 60 550 25 407 373<br />

1 286 41 183 379 20 109 -3 45 325 47 258 188<br />

20 181 6 188 -14 8 62 -3 60 143 10 166 34<br />

1.6 56.7 -13.1 32.2 -23.2 -22.9 20.1 12.2 7.7 2.8 6.2 16.0 9.3<br />

4.8 25.2 -37.0 3.1 -49.4 -24.1 -10.6 -4.5 5.4 -32.0 0.5 -8.6 -33.5<br />

-58.2 -10.1 -60.0 -15.6 -61.1 -58.1 -38.2 -27.1 -36.4 -38.6 -34.6 -21.2 -25.4<br />

-10.4 10.0 -24.2 22.6 -53.3 -31.7 10.1 -2.0 -2.3 -33.4 -5.2 9.1 -8.1<br />

6.4 63.9 -4.0 52.1 -17.1 -33.1 48.5 70.2 -1.5 29.0 2.6 39.8 48.3<br />

2.7 158.8 0.6 65.6 25.5 -6.4 34.4 15.3 28.3 76.6 30.6 42.2 57.5<br />

-13.2 135.2 -12.8 43.6 33.7 -22.4 50.6 39.7 20.3 78.6 17.7 42.2 78.4<br />

1.3 172.3 17.2 69.6 41.0 14.5 35.7 -10.3 23.0 91.5 66.2 46.0 66.0<br />

28.2 210.5 2.2 128.8 -1.4 7.5 17.1 -12.5 65.2 52.2 17.9 37.6 12.4<br />

Source: 1990 Census: STF1A; 2000 Census: SF1 3 <strong>Wayne</strong> <strong>County</strong> - Ag<strong>in</strong>g <strong>Pr<strong>of</strong>ile</strong> by Community


TABLE 1. GENERAL POPULATION TRENDS BY COMMUNITY IN WAYNE COUNTY, 1990 - 2000<br />

COMMUNITIES<br />

Van Buren<br />

township<br />

<strong>Wayne</strong> city Westland<br />

city<br />

Woodhaven<br />

city<br />

Wyandotte<br />

city<br />

2000 AGE DISTRIBUTION<br />

Total Population<br />

Total 60 years and over<br />

60 to 64 years<br />

Total 65 years and over<br />

65 to 69 years<br />

70 to 74 years<br />

Total 75 years and over<br />

75 to 79 years<br />

80 to 84 years<br />

Total 85 years and over<br />

1990 AGE DISTRIBUTION<br />

Total Population<br />

Total 60 years and over<br />

60 to 64 years<br />

Total 65 years and over<br />

65 to 69 years<br />

70 to 74 years<br />

Total 75 years and over<br />

75 to 79 years<br />

80 to 84 years<br />

Total 85 years and over<br />

1990 - 2000 CHANGE - NUMBER<br />

Total 60 years and over<br />

60 to 64 years<br />

Total 65 years and over<br />

65 to 69 years<br />

70 to 74 years<br />

Total 75 years and over<br />

75 to 79 years<br />

80 to 84 years<br />

Total 85 years and over<br />

1990 - 2000 CHANGE - PERCENT<br />

Total 60 years and over<br />

60 to 64 years<br />

Total 65 years and over<br />

65 to 69 years<br />

70 to 74 years<br />

Total 75 years and over<br />

75 to 79 years<br />

80 to 84 years<br />

Total 85 years and over<br />

23,559 19,051 86,602 12,530 28,006<br />

2,286 2,945 14,803 1,288 5,380<br />

735 715 3,347 416 979<br />

958 1,159 6,020 473 2,117<br />

509 569 3,166 247 947<br />

449 590 2,854 226 1,170<br />

593 1,071 5,436 399 2,284<br />

317 500 2,340 175 1,130<br />

178 331 1,641 114 747<br />

98 240 1,455 110 407<br />

21,010 19,899 84,724 11,631 30,938<br />

2,102 3,222 12,695 912 6,588<br />

701 799 3,573 271 1,578<br />

1,401 2,423 9,122 641 5,010<br />

518 770 3,049 228 1,725<br />

373 609 2,250 155 1,456<br />

510 1,044 3,823 258 1,829<br />

231 459 1,730 104 958<br />

144 315 1,126 66 530<br />

135 270 967 88 341<br />

184 -277 2,108 376 -1,208<br />

34 -84 -226 145 -599<br />

-443 -1,264 -3,102 -168 -2,893<br />

-9 -201 117 19 -778<br />

76 -19 604 71 -286<br />

83 27 1,613 141 455<br />

86 41 610 71 172<br />

34 16 515 48 217<br />

-37 -30 488 22 66<br />

8.8 -8.6 16.6 41.2 -18.3<br />

4.9 -10.5 -6.3 53.5 -38.0<br />

-31.6 -52.2 -34.0 -26.2 -57.7<br />

-1.7 -26.1 3.8 8.3 -45.1<br />

20.4 -3.1 26.8 45.8 -19.6<br />

16.3 2.6 42.2 54.7 24.9<br />

37.2 8.9 35.3 68.3 18.0<br />

23.6 5.1 45.7 72.7 40.9<br />

-27.4 -11.1 50.5 25.0 19.4<br />

Source: 1990 Census: STF1A; 2000 Census: SF1 4 <strong>Wayne</strong> <strong>County</strong> - Ag<strong>in</strong>g <strong>Pr<strong>of</strong>ile</strong> by Community


TABLE 2. LIVING ARRANGEMENT TRENDS BY COMMUNITY IN WAYNE COUNTY, 1990 - 2000<br />

COMMUNITIES<br />

<strong>Wayne</strong><br />

<strong>County</strong><br />

Allen Park<br />

city<br />

Belleville<br />

city<br />

Brownstown<br />

township<br />

Canton<br />

township<br />

Dearborn<br />

city<br />

Dearborn<br />

Heights<br />

city<br />

Detroit<br />

city<br />

Ecorse city Flat Rock<br />

city<br />

Garden<br />

City city<br />

Gibraltar<br />

city<br />

Grosse Ile<br />

township<br />

2000 LIVING ARRANGEMENTS<br />

Households with 1 or more<br />

persons 60 years+ 232,192 4,928 576 1,471 4,793 13,500 9,256 97,725 1,414 782 3,659 422 1,304<br />

Liv<strong>in</strong>g Alone 91,022 1,952 305 466 1,617 5,968 3,441 37,874 562 323 1,287 127 366<br />

In 2 or more person 141,170 2,976 271 1,005 3,176 7,532 5,815 59,851 852 459 2,372 295 938<br />

Family household 134,708 2,912 245 966 3,058 7,319 5,669 56,098 808 442 2,304 282 911<br />

Nonfamily household 6,462 64 26 39 118 213 146 3,753 44 17 68 13 27<br />

Households with 1 or more<br />

persons 65 years+ 185,205 4,245 471 1,019 3,460 11,463 7,715 76,862 1,115 615 2,993 282 919<br />

Liv<strong>in</strong>g Alone 76,792 1,781 260 355 1,325 5,416 3,033 30,824 465 274 1,115 95 303<br />

In 2 or more person 108,413 2,464 211 664 2,135 6,047 4,682 46,038 650 341 1,878 187 616<br />

Family household 103,785 2,418 192 638 2,057 5,877 4,572 43,295 617 328 1,833 178 597<br />

Nonfamily household 4,628 46 19 26 78 170 110 2,743 33 13 45 9 19<br />

Households with 1 or more<br />

persons 75 years+ 93,989 2,563 248 456 1,620 7,124 3,989 37,442 520 314 1,275 113 393<br />

Liv<strong>in</strong>g Alone 43,888 1,162 149 180 721 3,816 1,796 16,185 232 157 552 48 165<br />

In 2 or more person 50,101 1,401 99 276 899 3,308 2,193 21,257 288 157 723 65 228<br />

Family household 48,021 1,378 91 268 871 3,223 2,141 20,036 270 154 706 63 218<br />

Nonfamily household 2,080 23 8 8 28 85 52 1,221 18 3 17 2 10<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters 10,738 273 8 11 4 189 425 4,696 1 5 7 1 1<br />

Institutional group quart 9,057 272 0 0 0 157 339 3,822 1 0 1 0 0<br />

Non<strong>in</strong>stitutional group qu 1,681 1 8 11 4 32 86 874 0 5 6 1 1<br />

1990 LIVING ARRANGEMENTS<br />

Households with 1 or more<br />

persons 60 years+ 255,496 5,508 542 1,043 2,940 14,683 9,724 121,859 1,563 744 3,598 330 949<br />

Liv<strong>in</strong>g Alone 94,222 1,808 289 331 1,007 5,823 3,182 46,136 583 299 984 108 235<br />

In 2 or more person 161,274 3,700 253 712 1,933 8,860 6,542 75,723 980 445 2,614 222 714<br />

Family household 153,749 3,647 240 688 1,880 8,627 6,400 70,617 929 436 2,565 217 697<br />

Nonfamily household 7,525 53 13 24 53 233 142 5,106 51 9 49 5 17<br />

Households with 1 or more<br />

persons 65 years+ 195,656 4,400 436 747 2,133 12,013 7,369 94,223 1,178 547 2,411 225 674<br />

Liv<strong>in</strong>g Alone 77,610 1,559 249 252 811 5,133 2,695 37,105 472 247 793 88 198<br />

In 2 or more person 118,046 2,841 187 495 1,322 6,880 4,674 57,118 706 300 1,618 137 476<br />

Family household 112,321 2,798 177 476 1,284 6,704 4,567 53,145 669 294 1,584 134 461<br />

Nonfamily household 5,725 43 10 19 38 176 107 3,973 37 6 34 3 15<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters 11,645 170 0 14 0 23 320 5,811 0 0 0 0 0<br />

Institutional group quart 10,514 170 0 14 0 0 298 4,886 0 0 0 0 0<br />

Non<strong>in</strong>stitutional group qu 1,131 0 0 0 0 23 22 925 0 0 0 0 0<br />

WSU/Center for Urban Studies/MIMIC 5 <strong>Wayne</strong> <strong>County</strong> - Ag<strong>in</strong>g <strong>Pr<strong>of</strong>ile</strong> by Community


TABLE 2. LIVING ARRANGEMENT TRENDS BY COMMUNITY IN WAYNE COUNTY, 1990 - 2000<br />

COMMUNITIES<br />

Grosse<br />

Po<strong>in</strong>te city<br />

G. Po<strong>in</strong>te<br />

township<br />

G. Po<strong>in</strong>te<br />

Farms city<br />

G. Po<strong>in</strong>te<br />

Park city<br />

G. Po<strong>in</strong>te<br />

Woods city<br />

Hamtramck<br />

city<br />

Harper<br />

Woods city<br />

Highland<br />

Park city<br />

Huron<br />

charter<br />

township<br />

Inkster<br />

city<br />

L<strong>in</strong>coln<br />

Park city<br />

Livonia<br />

city<br />

Melv<strong>in</strong>dale<br />

city<br />

2000 LIVING ARRANGEMENTS<br />

Households with 1 or more<br />

persons 60 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 65 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 75 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters<br />

Institutional group quart<br />

Non<strong>in</strong>stitutional group qu<br />

1990 LIVING ARRANGEMENTS<br />

Households with 1 or more<br />

persons 60 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 65 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters<br />

Institutional group quart<br />

Non<strong>in</strong>stitutional group qu<br />

842 544 1,493 1,267 2,503 2,539 2,317 2,372 1,088 3,260 5,131 13,704 1,410<br />

375 138 513 428 800 1,247 1,158 1,181 295 1,245 2,115 4,773 677<br />

467 406 980 839 1,703 1,292 1,159 1,191 793 2,015 3,016 8,931 733<br />

446 399 947 818 1,679 1,185 1,116 1,115 765 1,916 2,925 8,726 706<br />

21 7 33 21 24 107 43 76 28 99 91 205 27<br />

677 439 1,236 995 2,101 2,073 2,064 1,931 779 2,547 4,253 11,165 1,146<br />

330 124 458 364 705 1,065 1,056 965 235 1,029 1,828 4,216 570<br />

347 315 778 631 1,396 1,008 1,008 966 544 1,518 2,425 6,949 576<br />

330 308 750 618 1,374 924 977 906 524 1,447 2,364 6,803 559<br />

17 7 28 13 22 84 31 60 20 71 61 146 17<br />

398 215 646 504 1,197 1,234 1,353 907 346 1,202 2,313 5,570 595<br />

212 81 274 213 461 690 741 473 127 545 1,084 2,536 340<br />

186 134 372 291 736 544 612 434 219 657 1,229 3,034 255<br />

176 128 352 287 724 490 591 409 212 626 1,206 2,970 247<br />

10 6 20 4 12 54 21 25 7 31 23 64 8<br />

0 0 0 2 62 199 130 167 8 67 80 1,448 5<br />

0 0 0 0 58 193 124 162 0 62 80 1,041 0<br />

0 0 0 2 4 6 6 5 8 5 0 407 5<br />

886 518 1,610 1,466 2,865 3,356 3,496 2,833 859 3,648 5,943 12,567 1,652<br />

386 116 477 489 797 1,615 1,543 1,416 230 1,511 2,179 3,687 695<br />

500 402 1,133 977 2,068 1,741 1,953 1,417 629 2,137 3,764 8,880 957<br />

477 397 1,095 948 2,034 1,600 1,916 1,334 618 2,028 3,663 8,707 918<br />

23 5 38 29 34 141 37 83 11 109 101 173 39<br />

705 363 1,267 1,128 2,240 2,804 2,961 2,181 608 2,739 4,588 9,026 1,252<br />

335 100 396 412 704 1,384 1,392 1,119 189 1,233 1,822 3,109 571<br />

370 263 871 716 1,536 1,420 1,569 1,062 419 1,506 2,766 5,917 681<br />

358 260 838 693 1,506 1,306 1,540 998 411 1,438 2,683 5,798 652<br />

12 3 33 23 30 114 29 64 8 68 83 119 29<br />

0 0 0 0 0 147 145 238 0 83 18 1,048 0<br />

0 0 0 0 0 147 127 224 0 83 18 924 0<br />

0 0 0 0 0 0 18 14 0 0 0 124 0<br />

WSU/Center for Urban Studies/MIMIC 6 <strong>Wayne</strong> <strong>County</strong> - Ag<strong>in</strong>g <strong>Pr<strong>of</strong>ile</strong> by Community


TABLE 2. LIVING ARRANGEMENT TRENDS BY COMMUNITY IN WAYNE COUNTY, 1990 - 2000<br />

COMMUNITIES<br />

Northville<br />

city<br />

Northville<br />

township<br />

Plymouth<br />

city<br />

Plymouth<br />

township<br />

Redford<br />

township<br />

River<br />

Rouge city<br />

Riverview<br />

city<br />

Rockwood<br />

city<br />

Romulus<br />

city<br />

Southgate<br />

city<br />

Sumpter<br />

township<br />

Taylor city<br />

Trenton<br />

city<br />

2000 LIVING ARRANGEMENTS<br />

Households with 1 or more<br />

persons 60 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 65 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 75 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters<br />

Institutional group quart<br />

Non<strong>in</strong>stitutional group qu<br />

1990 LIVING ARRANGEMENTS<br />

Households with 1 or more<br />

persons 60 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 65 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters<br />

Institutional group quart<br />

Non<strong>in</strong>stitutional group qu<br />

405 2,518 1,195 3,232 6,531 1,089 1,990 327 1,957 4,506 908 6,856 3,232<br />

187 862 646 1,152 2,620 392 885 129 735 2,054 230 2,322 1,317<br />

218 1,656 549 2,080 3,911 697 1,105 198 1,222 2,452 678 4,534 1,915<br />

208 1,604 537 2,020 3,791 665 1,070 188 1,164 2,373 647 4,347 1,873<br />

10 52 12 60 120 32 35 10 58 79 31 187 42<br />

319 1,940 1,019 2,495 5,536 847 1,633 245 1,429 3,692 666 5,121 2,669<br />

164 730 574 994 2,342 325 803 108 604 1,810 187 1,878 1,151<br />

155 1,210 445 1,501 3,194 522 830 137 825 1,882 479 3,243 1,518<br />

145 1,179 436 1,463 3,111 506 804 133 792 1,834 458 3,117 1,492<br />

10 31 9 38 83 16 26 4 33 48 21 126 26<br />

200 948 586 1,195 3,264 427 876 109 652 1,948 291 2,069 1,246<br />

123 412 381 585 1,576 178 545 56 313 1,092 85 895 642<br />

77 536 205 610 1,688 249 331 53 339 856 206 1,174 604<br />

70 521 200 591 1,651 241 321 51 324 834 191 1,127 596<br />

7 15 5 19 37 8 10 2 15 22 15 47 8<br />

33 231 171 11 228 0 459 4 31 95 0 482 154<br />

32 153 166 10 217 0 456 0 13 80 0 451 153<br />

1 78 5 1 11 0 3 4 18 15 0 31 1<br />

404 1,713 1,372 2,428 7,939 1,392 1,583 294 1,795 4,227 852 5,939 2,933<br />

221 563 690 768 2,493 534 643 113 593 1,591 226 1,844 1,041<br />

183 1,150 682 1,660 5,446 858 940 181 1,202 2,636 626 4,095 1,892<br />

176 1,131 656 1,621 5,315 807 918 175 1,151 2,589 598 3,950 1,856<br />

7 19 26 39 131 51 22 6 51 47 28 145 36<br />

327 1,244 1,086 1,736 6,239 1,089 1,154 211 1,309 3,152 608 4,043 2,097<br />

197 460 603 643 2,132 436 557 96 496 1,320 177 1,419 872<br />

130 784 483 1,093 4,107 653 597 115 813 1,832 431 2,624 1,225<br />

124 772 468 1,063 4,007 612 584 110 775 1,800 411 2,540 1,197<br />

6 12 15 30 100 41 13 5 38 32 20 84 28<br />

34 0 160 0 431 0 516 0 6 81 0 512 187<br />

34 0 160 0 431 0 516 0 6 81 0 512 187<br />

0 0 0 0 0 0 0 0 0 0 0 0 0<br />

WSU/Center for Urban Studies/MIMIC 7 <strong>Wayne</strong> <strong>County</strong> - Ag<strong>in</strong>g <strong>Pr<strong>of</strong>ile</strong> by Community


TABLE 2. LIVING ARRANGEMENT TRENDS BY COMMUNITY IN WAYNE COUNTY, 1990 - 2000<br />

COMMUNITIES<br />

Van Buren<br />

township<br />

<strong>Wayne</strong> city Westland<br />

city<br />

Woodhaven<br />

city<br />

Wyandotte<br />

city<br />

2000 LIVING ARRANGEMENTS<br />

Households with 1 or more<br />

persons 60 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 65 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 75 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters<br />

Institutional group quart<br />

Non<strong>in</strong>stitutional group qu<br />

1990 LIVING ARRANGEMENTS<br />

Households with 1 or more<br />

persons 60 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 65 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters<br />

Institutional group quart<br />

Non<strong>in</strong>stitutional group qu<br />

1,660 1,993 10,676 839 3,978<br />

491 834 4,913 263 1,757<br />

1,169 1,159 5,763 576 2,221<br />

1,112 1,109 5,528 560 2,155<br />

57 50 235 16 66<br />

1,153 1,510 8,453 561 3,352<br />

355 685 4,134 183 1,574<br />

798 825 4,319 378 1,778<br />

760 792 4,174 367 1,736<br />

38 33 145 11 42<br />

498 753 4,275 226 1,889<br />

174 406 2,439 76 970<br />

324 347 1,836 150 919<br />

312 331 1,775 148 900<br />

12 16 61 2 19<br />

6 276 615 132 21<br />

0 270 612 130 2<br />

6 6 3 2 19<br />

1,380 1,997 8,835 552 4,679<br />

384 791 3,752 162 1,887<br />

996 1,206 5,083 390 2,792<br />

957 1,162 4,933 376 2,700<br />

39 44 150 14 92<br />

938 1,487 6,565 393 3,760<br />

288 662 3,126 129 1,629<br />

650 825 3,439 264 2,131<br />

634 802 3,332 255 2,061<br />

16 23 107 9 70<br />

160 535 816 144 46<br />

160 535 816 144 41<br />

0 0 0 0 5<br />

WSU/Center for Urban Studies/MIMIC 8 <strong>Wayne</strong> <strong>County</strong> - Ag<strong>in</strong>g <strong>Pr<strong>of</strong>ile</strong> by Community


TABLE 2. LIVING ARRANGEMENT TRENDS BY COMMUNITY IN WAYNE COUNTY, 1990 - 2000<br />

COMMUNITIES<br />

<strong>Wayne</strong><br />

<strong>County</strong><br />

Allen Park<br />

city<br />

Belleville<br />

city<br />

Brownstown<br />

township<br />

Canton<br />

township<br />

Dearborn<br />

city<br />

Dearborn<br />

Heights<br />

city<br />

Detroit<br />

city<br />

Ecorse city Flat Rock<br />

city<br />

Garden<br />

City city<br />

Gibraltar<br />

city<br />

Grosse Ile<br />

township<br />

1990 - 2000 CHANGE - NUMBER<br />

Households with 1 or more<br />

persons 60 years+ -23,304 -580 34 428 1,853 -1,183 -468 -24,134 -149 38 61 92 355<br />

Liv<strong>in</strong>g Alone -3,200 144 16 135 610 145 259 -8,262 -21 24 303 19 131<br />

In 2 or more person -20,104 -724 18 293 1,243 -1,328 -727 -15,872 -128 14 -242 73 224<br />

Family household -19,041 -735 5 278 1,178 -1,308 -731 -14,519 -121 6 -261 65 214<br />

Nonfamily household -1,063 11 13 15 65 -20 4 -1,353 -7 8 19 8 10<br />

Households with 1 or more<br />

persons 65 years+ -10,451 -155 35 272 1,327 -550 346 -17,361 -63 68 582 57 245<br />

Liv<strong>in</strong>g Alone -818 222 11 103 514 283 338 -6,281 -7 27 322 7 105<br />

In 2 or more person -9,633 -377 24 169 813 -833 8 -11,080 -56 41 260 50 140<br />

Family household -8,536 -380 15 162 773 -827 5 -9,850 -52 34 249 44 136<br />

Nonfamily household -1,097 3 9 7 40 -6 3 -1,230 -4 7 11 6 4<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters -907 103 8 -3 4 166 105 -1,115 1 5 7 1 1<br />

Institutional group quart -1,457 102 0 -14 0 157 41 -1,064 1 0 1 0 0<br />

Non<strong>in</strong>stitutional group qu 550 1 8 11 4 9 64 -51 0 5 6 1 1<br />

1990 - 2000 CHANGE - PERCENT<br />

Households with 1 or more<br />

persons 60 years+ -9.1 -10.5 6.3 41.0 63.0 -8.1 -4.8 -19.8 -9.5 5.1 1.7 27.9 37.4<br />

Liv<strong>in</strong>g Alone -3.4 8.0 5.5 40.8 60.6 2.5 8.1 -17.9 -3.6 8.0 30.8 17.6 55.7<br />

In 2 or more person -12.5 -19.6 7.1 41.2 64.3 -15.0 -11.1 -21.0 -13.1 3.1 -9.3 32.9 31.4<br />

Family household -12.4 -20.2 2.1 40.4 62.7 -15.2 -11.4 -20.6 -13.0 1.4 -10.2 30.0 30.7<br />

Nonfamily household -14.1 20.8 100.0 62.5 122.6 -8.6 2.8 -26.5 -13.7 88.9 38.8 160.0 58.8<br />

Households with 1 or more<br />

persons 65 years+ -5.3 -3.5 8.0 36.4 62.2 -4.6 4.7 -18.4 -5.3 12.4 24.1 25.3 36.4<br />

Liv<strong>in</strong>g Alone -1.1 14.2 4.4 40.9 63.4 5.5 12.5 -16.9 -1.5 10.9 40.6 8.0 53.0<br />

In 2 or more person -8.2 -13.3 12.8 34.1 61.5 -12.1 0.2 -19.4 -7.9 13.7 16.1 36.5 29.4<br />

Family household -7.6 -13.6 8.5 34.0 60.2 -12.3 0.1 -18.5 -7.8 11.6 15.7 32.8 29.5<br />

Nonfamily household -19.2 7.0 90.0 36.8 105.3 -3.4 2.8 -31.0 -10.8 116.7 32.4 200.0 26.7<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters -7.8 60.6 n.a. -21.4 n.a. 721.7 32.8 -19.2 n.a. n.a. n.a. n.a. n.a.<br />

Institutional group quart -13.9 60.0 n.a. -100.0 n.a. n.a. 13.8 -21.8 n.a. n.a. n.a. n.a. n.a.<br />

Non<strong>in</strong>stitutional group qu 48.6 n.a. n.a. n.a. n.a. 39.1 290.9 -5.5 n.a. n.a. n.a. n.a. n.a.<br />

WSU/Center for Urban Studies/MIMIC 9 <strong>Wayne</strong> <strong>County</strong> - Ag<strong>in</strong>g <strong>Pr<strong>of</strong>ile</strong> by Community


TABLE 2. LIVING ARRANGEMENT TRENDS BY COMMUNITY IN WAYNE COUNTY, 1990 - 2000<br />

COMMUNITIES<br />

Grosse<br />

Po<strong>in</strong>te city<br />

G. Po<strong>in</strong>te<br />

township<br />

G. Po<strong>in</strong>te<br />

Farms city<br />

G. Po<strong>in</strong>te<br />

Park city<br />

G. Po<strong>in</strong>te<br />

Woods city<br />

Hamtramck<br />

city<br />

Harper<br />

Woods city<br />

Highland<br />

Park city<br />

Huron<br />

charter<br />

township<br />

Inkster<br />

city<br />

L<strong>in</strong>coln<br />

Park city<br />

Livonia<br />

city<br />

Melv<strong>in</strong>dale<br />

city<br />

1990 - 2000 CHANGE - NUMBER<br />

Households with 1 or more<br />

persons 60 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 65 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters<br />

Institutional group quart<br />

Non<strong>in</strong>stitutional group qu<br />

1990 - 2000 CHANGE - PERCENT<br />

Households with 1 or more<br />

persons 60 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 65 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters<br />

Institutional group quart<br />

Non<strong>in</strong>stitutional group qu<br />

-44 26 -117 -199 -362 -817 -1,179 -461 229 -388 -812 1,137 -242<br />

-11 22 36 -61 3 -368 -385 -235 65 -266 -64 1,086 -18<br />

-33 4 -153 -138 -365 -449 -794 -226 164 -122 -748 51 -224<br />

-31 2 -148 -130 -355 -415 -800 -219 147 -112 -738 19 -212<br />

-2 2 -5 -8 -10 -34 6 -7 17 -10 -10 32 -12<br />

-28 76 -31 -133 -139 -731 -897 -250 171 -192 -335 2,139 -106<br />

-5 24 62 -48 1 -319 -336 -154 46 -204 6 1,107 -1<br />

-23 52 -93 -85 -140 -412 -561 -96 125 12 -341 1,032 -105<br />

-28 48 -88 -75 -132 -382 -563 -92 113 9 -319 1,005 -93<br />

5 4 -5 -10 -8 -30 2 -4 12 3 -22 27 -12<br />

0 0 0 2 62 52 -15 -71 8 -16 62 400 5<br />

0 0 0 0 58 46 -3 -62 0 -21 62 117 0<br />

0 0 0 2 4 6 -12 -9 8 5 0 283 5<br />

-5.0 5.0 -7.3 -13.6 -12.6 -24.3 -33.7 -16.3 26.7 -10.6 -13.7 9.0 -14.6<br />

-2.8 19.0 7.5 -12.5 0.4 -22.8 -25.0 -16.6 28.3 -17.6 -2.9 29.5 -2.6<br />

-6.6 1.0 -13.5 -14.1 -17.6 -25.8 -40.7 -15.9 26.1 -5.7 -19.9 0.6 -23.4<br />

-6.5 0.5 -13.5 -13.7 -17.5 -25.9 -41.8 -16.4 23.8 -5.5 -20.1 0.2 -23.1<br />

-8.7 40.0 -13.2 -27.6 -29.4 -24.1 16.2 -8.4 154.5 -9.2 -9.9 18.5 -30.8<br />

-4.0 20.9 -2.4 -11.8 -6.2 -26.1 -30.3 -11.5 28.1 -7.0 -7.3 23.7 -8.5<br />

-1.5 24.0 15.7 -11.7 0.1 -23.0 -24.1 -13.8 24.3 -16.5 0.3 35.6 -0.2<br />

-6.2 19.8 -10.7 -11.9 -9.1 -29.0 -35.8 -9.0 29.8 0.8 -12.3 17.4 -15.4<br />

-7.8 18.5 -10.5 -10.8 -8.8 -29.2 -36.6 -9.2 27.5 0.6 -11.9 17.3 -14.3<br />

41.7 133.3 -15.2 -43.5 -26.7 -26.3 6.9 -6.3 150.0 4.4 -26.5 22.7 -41.4<br />

n.a. n.a. n.a. n.a. n.a. 35.4 -10.3 -29.8 n.a. -19.3 344.4 38.2 n.a.<br />

n.a. n.a. n.a. n.a. n.a. 31.3 -2.4 -27.7 n.a. -25.3 344.4 12.7 n.a.<br />

n.a. n.a. n.a. n.a. n.a. n.a. -66.7 -64.3 n.a. n.a. n.a. 228.2 n.a.<br />

WSU/Center for Urban Studies/MIMIC 10 <strong>Wayne</strong> <strong>County</strong> - Ag<strong>in</strong>g <strong>Pr<strong>of</strong>ile</strong> by Community


TABLE 2. LIVING ARRANGEMENT TRENDS BY COMMUNITY IN WAYNE COUNTY, 1990 - 2000<br />

COMMUNITIES<br />

Northville<br />

city<br />

Northville<br />

township<br />

Plymouth<br />

city<br />

Plymouth<br />

township<br />

Redford<br />

township<br />

River<br />

Rouge city<br />

Riverview<br />

city<br />

Rockwood<br />

city<br />

Romulus<br />

city<br />

Southgate<br />

city<br />

Sumpter<br />

township<br />

Taylor city<br />

Trenton<br />

city<br />

1990 - 2000 CHANGE - NUMBER<br />

Households with 1 or more<br />

persons 60 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 65 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters<br />

Institutional group quart<br />

Non<strong>in</strong>stitutional group qu<br />

1990 - 2000 CHANGE - PERCENT<br />

Households with 1 or more<br />

persons 60 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 65 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters<br />

Institutional group quart<br />

Non<strong>in</strong>stitutional group qu<br />

1 805 -177 804 -1,408 -303 407 33 162 279 56 917 299<br />

-34 299 -44 384 127 -142 242 16 142 463 4 478 276<br />

35 506 -133 420 -1,535 -161 165 17 20 -184 52 439 23<br />

32 473 -119 399 -1,524 -142 152 13 13 -216 49 397 17<br />

3 33 -14 21 -11 -19 13 4 7 32 3 42 6<br />

-8 696 -67 759 -703 -242 479 34 120 540 58 1,078 572<br />

-33 270 -29 351 210 -111 246 12 108 490 10 459 279<br />

25 426 -38 408 -913 -131 233 22 12 50 48 619 293<br />

21 407 -32 400 -896 -106 220 23 17 34 47 577 295<br />

4 19 -6 8 -17 -25 13 -1 -5 16 1 42 -2<br />

-1 231 11 11 -203 0 -57 4 25 14 0 -30 -33<br />

-2 153 6 10 -214 0 -60 0 7 -1 0 -61 -34<br />

1 78 5 1 11 0 3 4 18 15 0 31 1<br />

0.2 47.0 -12.9 33.1 -17.7 -21.8 25.7 11.2 9.0 6.6 6.6 15.4 10.2<br />

-15.4 53.1 -6.4 50.0 5.1 -26.6 37.6 14.2 23.9 29.1 1.8 25.9 26.5<br />

19.1 44.0 -19.5 25.3 -28.2 -18.8 17.6 9.4 1.7 -7.0 8.3 10.7 1.2<br />

18.2 41.8 -18.1 24.6 -28.7 -17.6 16.6 7.4 1.1 -8.3 8.2 10.1 0.9<br />

42.9 173.7 -53.8 53.8 -8.4 -37.3 59.1 66.7 13.7 68.1 10.7 29.0 16.7<br />

-2.4 55.9 -6.2 43.7 -11.3 -22.2 41.5 16.1 9.2 17.1 9.5 26.7 27.3<br />

-16.8 58.7 -4.8 54.6 9.8 -25.5 44.2 12.5 21.8 37.1 5.6 32.3 32.0<br />

19.2 54.3 -7.9 37.3 -22.2 -20.1 39.0 19.1 1.5 2.7 11.1 23.6 23.9<br />

16.9 52.7 -6.8 37.6 -22.4 -17.3 37.7 20.9 2.2 1.9 11.4 22.7 24.6<br />

66.7 158.3 -40.0 26.7 -17.0 -61.0 100.0 -20.0 -13.2 50.0 5.0 50.0 -7.1<br />

-2.9 n.a. 6.9 n.a. -47.1 n.a. -11.0 n.a. 416.7 17.3 n.a. -5.9 -17.6<br />

-5.9 n.a. 3.8 n.a. -49.7 n.a. -11.6 n.a. 116.7 -1.2 n.a. -11.9 -18.2<br />

n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.<br />

WSU/Center for Urban Studies/MIMIC 11 <strong>Wayne</strong> <strong>County</strong> - Ag<strong>in</strong>g <strong>Pr<strong>of</strong>ile</strong> by Community


TABLE 2. LIVING ARRANGEMENT TRENDS BY COMMUNITY IN WAYNE COUNTY, 1990 - 2000<br />

COMMUNITIES<br />

Van Buren<br />

township<br />

<strong>Wayne</strong> city Westland<br />

city<br />

Woodhaven<br />

city<br />

Wyandotte<br />

city<br />

1990 - 2000 CHANGE - NUMBER<br />

Households with 1 or more<br />

persons 60 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 65 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters<br />

Institutional group quart<br />

Non<strong>in</strong>stitutional group qu<br />

1990 - 2000 CHANGE - PERCENT<br />

Households with 1 or more<br />

persons 60 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Households with 1 or more<br />

persons 65 years+<br />

Liv<strong>in</strong>g Alone<br />

In 2 or more person<br />

Family household<br />

Nonfamily household<br />

Liv<strong>in</strong>g <strong>in</strong> Group Quarters<br />

Institutional group quart<br />

Non<strong>in</strong>stitutional group qu<br />

280 -4 1,841 287 -701<br />

107 43 1,161 101 -130<br />

173 -47 680 186 -571<br />

155 -53 595 184 -545<br />

18 6 85 2 -26<br />

215 23 1,888 168 -408<br />

67 23 1,008 54 -55<br />

148 0 880 114 -353<br />

126 -10 842 112 -325<br />

22 10 38 2 -28<br />

-154 -259 -201 -12 -25<br />

-160 -265 -204 -14 -39<br />

6 6 3 2 14<br />

20.3 -0.2 20.8 52.0 -15.0<br />

27.9 5.4 30.9 62.3 -6.9<br />

17.4 -3.9 13.4 47.7 -20.5<br />

16.2 -4.6 12.1 48.9 -20.2<br />

46.2 13.6 56.7 14.3 -28.3<br />

22.9 1.5 28.8 42.7 -10.9<br />

23.3 3.5 32.2 41.9 -3.4<br />

22.8 0.0 25.6 43.2 -16.6<br />

19.9 -1.2 25.3 43.9 -15.8<br />

137.5 43.5 35.5 22.2 -40.0<br />

-96.3 -48.4 -24.6 -8.3 -54.3<br />

-100.0 -49.5 -25.0 -9.7 -95.1<br />

n.a. n.a. n.a. n.a. 280.0<br />

WSU/Center for Urban Studies/MIMIC 12 <strong>Wayne</strong> <strong>County</strong> - Ag<strong>in</strong>g <strong>Pr<strong>of</strong>ile</strong> by Community


Appendix B<br />

<strong>Wayne</strong> <strong>County</strong> Maps


Reference Map<br />

<strong>Michigan</strong> Area Agencies on Ag<strong>in</strong>g Plann<strong>in</strong>g and Service Areas<br />

Lake Superior<br />

11<br />

10 9<br />

Lake<br />

Huron<br />

Sag<strong>in</strong>aw<br />

Bay<br />

14 7<br />

8<br />

Lake<br />

<strong>Michigan</strong><br />

4<br />

3b<br />

3a<br />

3c<br />

6<br />

2<br />

5<br />

1b<br />

1a<br />

1c<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


Northville<br />

Harper<br />

Woods<br />

Grosse<br />

Po<strong>in</strong>te<br />

Woods<br />

Northville Twp<br />

Plymouth Twp<br />

Livonia<br />

Redford<br />

Twp<br />

Detroit<br />

Highland<br />

Park<br />

Hamtramck<br />

Grosse<br />

Po<strong>in</strong>te<br />

Farms<br />

Grosse<br />

Po<strong>in</strong>te<br />

Shores<br />

Plymouth<br />

Westland<br />

Dearborn<br />

Heights<br />

1-A<br />

Grosse<br />

Po<strong>in</strong>te<br />

Park<br />

Grosse<br />

Po<strong>in</strong>te<br />

Garden City<br />

Canton Twp.<br />

Inkster<br />

Dearborn<br />

<strong>Wayne</strong><br />

1-C<br />

Allen Park<br />

Melv<strong>in</strong>dale<br />

L<strong>in</strong>coln<br />

Park<br />

Ecorse<br />

River<br />

Rouge<br />

Van Buren Twp<br />

Belleville<br />

Romulus<br />

Taylor<br />

Southgate<br />

Wyandotte<br />

Sumpter Twp<br />

Huron Twp<br />

Woodhaven<br />

Riverview<br />

Trenton<br />

Grosse<br />

Ile<br />

Twp<br />

<strong>Wayne</strong> <strong>County</strong><br />

by Area Agency on<br />

Ag<strong>in</strong>g Service Area<br />

Flat Rock<br />

Gibraltar<br />

Rockwood<br />

Brownstown Twp<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


Sector Map<br />

Detroit Area Agency on Ag<strong>in</strong>g - Region 1-A<br />

8 Mile Road<br />

39<br />

10<br />

75<br />

8<br />

10<br />

1<br />

2<br />

94<br />

12<br />

Van Dyke<br />

Telegraph<br />

Grand River<br />

9<br />

10<br />

11<br />

Gratiot<br />

96<br />

96<br />

6<br />

75<br />

94<br />

3<br />

Woodward<br />

39<br />

7<br />

10<br />

4<br />

75<br />

94<br />

<strong>Michigan</strong><br />

96<br />

75<br />

75<br />

375<br />

Belle Isle<br />

Legend<br />

5<br />

Detroit River<br />

Freeways<br />

Divided Roads<br />

Major Roads<br />

Sectors<br />

75<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


96<br />

96<br />

75<br />

10<br />

10<br />

39<br />

39<br />

Telegraph<br />

Grand River<br />

Van Dyke<br />

75<br />

8 Mile Road<br />

Woodward<br />

94<br />

96<br />

94<br />

75<br />

75<br />

75<br />

375<br />

10<br />

<strong>Michigan</strong><br />

94<br />

75<br />

Gratiot<br />

Belle Isle<br />

Detroit River<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb<br />

Communities <strong>in</strong> PSA 1-A<br />

Detroit Area Agency on Ag<strong>in</strong>g - Region 1-A<br />

Freeways<br />

Divided Roads<br />

Major Roads<br />

Legend<br />

Cities<br />

Detroit<br />

Detroit<br />

Detroit<br />

Detroit<br />

Detroit<br />

Detroit<br />

Detroit<br />

Detroit<br />

Detroit<br />

Highland<br />

Highland<br />

Highland<br />

Highland<br />

Highland<br />

Highland<br />

Highland<br />

Highland<br />

Highland<br />

Park<br />

Park<br />

Park<br />

Park<br />

Park<br />

Park<br />

Park<br />

Park<br />

Park<br />

Hamtramck<br />

Hamtramck<br />

Hamtramck<br />

Hamtramck<br />

Hamtramck<br />

Hamtramck<br />

Hamtramck<br />

Hamtramck<br />

Hamtramck<br />

Harper<br />

Harper<br />

Harper<br />

Harper<br />

Harper<br />

Harper<br />

Harper<br />

Harper<br />

Harper<br />

Woods<br />

Woods<br />

Woods<br />

Woods<br />

Woods<br />

Woods<br />

Woods<br />

Woods<br />

Woods<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Woods<br />

Woods<br />

Woods<br />

Woods<br />

Woods<br />

Woods<br />

Woods<br />

Woods<br />

Woods<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Shores<br />

Shores<br />

Shores<br />

Shores<br />

Shores<br />

Shores<br />

Shores<br />

Shores<br />

Shores<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Farms<br />

Farms<br />

Farms<br />

Farms<br />

Farms<br />

Farms<br />

Farms<br />

Farms<br />

Farms<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Grosse<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Po<strong>in</strong>te<br />

Park<br />

Park<br />

Park<br />

Park<br />

Park<br />

Park<br />

Park<br />

Park<br />

Park


The <strong>Senior</strong> Alliance<br />

Area Agency on Ag<strong>in</strong>g 1-C Service Area by Community<br />

Northville<br />

Northville Twp<br />

Livonia<br />

Redford<br />

Twp<br />

Plymouth Twp<br />

Plymouth<br />

Westland<br />

Dearborn<br />

Heights<br />

Garden City<br />

Dearborn<br />

Canton Twp.<br />

Inkster<br />

<strong>Wayne</strong><br />

Melv<strong>in</strong>dale<br />

River<br />

Rouge<br />

Allen Park<br />

Ecorse<br />

L<strong>in</strong>coln<br />

Park<br />

Van Buren Twp<br />

Belleville<br />

Romulus<br />

Taylor<br />

Southgate<br />

Wyandotte<br />

Riverview<br />

Sumpter Twp<br />

Huron Twp<br />

Woodhaven<br />

Trenton<br />

Grosse<br />

Ile<br />

Twp<br />

Flat Rock<br />

Gibraltar<br />

Rockwood<br />

Brownstown Twp<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


Northville<br />

Harper<br />

Woods<br />

Grosse<br />

Po<strong>in</strong>te<br />

Woods<br />

Northville Twp<br />

Plymouth Twp<br />

Livonia<br />

Redford<br />

Twp<br />

Detroit<br />

Highland<br />

Park<br />

Hamtramck<br />

Grosse<br />

Po<strong>in</strong>te<br />

Farms<br />

Grosse<br />

Po<strong>in</strong>te<br />

Shores<br />

Plymouth<br />

Westland<br />

Dearborn<br />

Heights<br />

Grosse<br />

Po<strong>in</strong>te<br />

Park<br />

Grosse<br />

Po<strong>in</strong>te<br />

Garden City<br />

Canton Twp.<br />

Inkster<br />

Dearborn<br />

<strong>Wayne</strong><br />

Allen Park<br />

Melv<strong>in</strong>dale<br />

River<br />

Rouge<br />

Van Buren Twp<br />

Belleville<br />

Romulus<br />

Taylor<br />

Southgate<br />

L<strong>in</strong>coln<br />

Park<br />

Riverview<br />

Ecorse<br />

Wyandotte<br />

Percent Change<br />

<strong>in</strong> Total Population,<br />

1990 to 2000<br />

for <strong>Wayne</strong> <strong>County</strong> Communities<br />

Sumpter Twp<br />

Huron Twp<br />

Flat Rock<br />

Woodhaven<br />

Gibraltar<br />

Trenton<br />

Grosse<br />

Ile<br />

Twp<br />

Percent Change<br />

17% to 34%<br />

8% to 16.9%<br />

0% to 7.9%<br />

-1% to -7.9%<br />

-8% to -17%<br />

Rockwood<br />

Brownstown Twp<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


Canton Twp.<br />

Plymouth<br />

Northville Twp<br />

Plymouth Twp<br />

Northville<br />

Van Buren Twp<br />

Belleville<br />

Sumpter Twp<br />

Westland<br />

Romulus<br />

Huron Twp<br />

<strong>Wayne</strong><br />

Inkster<br />

Livonia<br />

Garden City<br />

Brownstown Twp<br />

Flat Rock<br />

Redford<br />

Twp<br />

Dearborn<br />

Heights<br />

Woodhaven<br />

Rockwood<br />

Taylor<br />

Dearborn<br />

Gibraltar<br />

Southgate<br />

Allen Park<br />

Trenton<br />

Riverview<br />

Melv<strong>in</strong>dale<br />

L<strong>in</strong>coln<br />

Park<br />

Detroit<br />

Wyandotte<br />

Ecorse<br />

Grosse<br />

Ile<br />

Twp<br />

River<br />

Rouge<br />

Highland<br />

Park<br />

Hamtramck<br />

Grosse<br />

Po<strong>in</strong>te<br />

Park<br />

Grosse<br />

Po<strong>in</strong>te<br />

Grosse<br />

Po<strong>in</strong>te<br />

Shores<br />

Grosse<br />

Po<strong>in</strong>te<br />

Farms<br />

Grosse<br />

Po<strong>in</strong>te<br />

Woods<br />

Harper<br />

Woods<br />

-57<br />

-57<br />

-57<br />

-57<br />

-57<br />

-57<br />

-57<br />

-57<br />

-57<br />

290<br />

290<br />

290<br />

290<br />

290<br />

290<br />

290<br />

290<br />

290<br />

66<br />

66<br />

66<br />

66<br />

66<br />

66<br />

66<br />

66<br />

66 212<br />

212<br />

212<br />

212<br />

212<br />

212<br />

212<br />

212<br />

212<br />

263<br />

263<br />

263<br />

263<br />

263<br />

263<br />

263<br />

263<br />

263<br />

-147<br />

-147<br />

-147<br />

-147<br />

-147<br />

-147<br />

-147<br />

-147<br />

-147<br />

-166<br />

-166<br />

-166<br />

-166<br />

-166<br />

-166<br />

-166<br />

-166<br />

-166<br />

1,208<br />

1,208<br />

1,208<br />

1,208<br />

1,208<br />

1,208<br />

1,208<br />

1,208<br />

1,208<br />

-541<br />

-541<br />

-541<br />

-541<br />

-541<br />

-541<br />

-541<br />

-541<br />

-541<br />

-406<br />

-406<br />

-406<br />

-406<br />

-406<br />

-406<br />

-406<br />

-406<br />

-406<br />

-33<br />

-33<br />

-33<br />

-33<br />

-33<br />

-33<br />

-33<br />

-33<br />

-33<br />

-184<br />

-184<br />

-184<br />

-184<br />

-184<br />

-184<br />

-184<br />

-184<br />

-184<br />

-1,357<br />

-1,357<br />

-1,357<br />

-1,357<br />

-1,357<br />

-1,357<br />

-1,357<br />

-1,357<br />

-1,357<br />

1,336<br />

1,336<br />

1,336<br />

1,336<br />

1,336<br />

1,336<br />

1,336<br />

1,336<br />

1,336<br />

249<br />

249<br />

249<br />

249<br />

249<br />

249<br />

249<br />

249<br />

249<br />

1,191<br />

1,191<br />

1,191<br />

1,191<br />

1,191<br />

1,191<br />

1,191<br />

1,191<br />

1,191<br />

2,296<br />

2,296<br />

2,296<br />

2,296<br />

2,296<br />

2,296<br />

2,296<br />

2,296<br />

2,296<br />

-73<br />

-73<br />

-73<br />

-73<br />

-73<br />

-73<br />

-73<br />

-73<br />

-73<br />

750<br />

750<br />

750<br />

750<br />

750<br />

750<br />

750<br />

750<br />

750<br />

-2,108<br />

-2,108<br />

-2,108<br />

-2,108<br />

-2,108<br />

-2,108<br />

-2,108<br />

-2,108<br />

-2,108<br />

571<br />

571<br />

571<br />

571<br />

571<br />

571<br />

571<br />

571<br />

571<br />

277<br />

277<br />

277<br />

277<br />

277<br />

277<br />

277<br />

277<br />

277<br />

-184<br />

-184<br />

-184<br />

-184<br />

-184<br />

-184<br />

-184<br />

-184<br />

-184<br />

-74<br />

-74<br />

-74<br />

-74<br />

-74<br />

-74<br />

-74<br />

-74<br />

-74 -325<br />

-325<br />

-325<br />

-325<br />

-325<br />

-325<br />

-325<br />

-325<br />

-325<br />

-558<br />

-558<br />

-558<br />

-558<br />

-558<br />

-558<br />

-558<br />

-558<br />

-558<br />

-376<br />

-376<br />

-376<br />

-376<br />

-376<br />

-376<br />

-376<br />

-376<br />

-376<br />

-483<br />

-483<br />

-483<br />

-483<br />

-483<br />

-483<br />

-483<br />

-483<br />

-483<br />

380<br />

380<br />

380<br />

380<br />

380<br />

380<br />

380<br />

380<br />

380<br />

416<br />

416<br />

416<br />

416<br />

416<br />

416<br />

416<br />

416<br />

416<br />

1,197<br />

1,197<br />

1,197<br />

1,197<br />

1,197<br />

1,197<br />

1,197<br />

1,197<br />

1,197<br />

733<br />

733<br />

733<br />

733<br />

733<br />

733<br />

733<br />

733<br />

733<br />

38,819<br />

38,819<br />

38,819<br />

38,819<br />

38,819<br />

38,819<br />

38,819<br />

38,819<br />

38,819<br />

2,803<br />

2,803<br />

2,803<br />

2,803<br />

2,803<br />

2,803<br />

2,803<br />

2,803<br />

2,803<br />

-2,010<br />

-2,010<br />

-2,010<br />

-2,010<br />

-2,010<br />

-2,010<br />

-2,010<br />

-2,010<br />

-2,010<br />

-2,467<br />

-2,467<br />

-2,467<br />

-2,467<br />

-2,467<br />

-2,467<br />

-2,467<br />

-2,467<br />

-2,467<br />

-1,121<br />

-1,121<br />

-1,121<br />

-1,121<br />

-1,121<br />

-1,121<br />

-1,121<br />

-1,121<br />

-1,121<br />

-1,411<br />

-1,411<br />

-1,411<br />

-1,411<br />

-1,411<br />

-1,411<br />

-1,411<br />

-1,411<br />

-1,411<br />

-9<br />

-9<br />

-9<br />

-9<br />

-9<br />

-9<br />

-9<br />

-9<br />

-9<br />

513<br />

513<br />

513<br />

513<br />

513<br />

513<br />

513<br />

513<br />

513<br />

-61<br />

-61<br />

-61<br />

-61<br />

-61<br />

-61<br />

-61<br />

-61<br />

-61<br />

1,849<br />

1,849<br />

1,849<br />

1,849<br />

1,849<br />

1,849<br />

1,849<br />

1,849<br />

1,849<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb<br />

Percent Change<br />

56% to 62%<br />

26% to 55.9%<br />

0% to 25.9%<br />

-1% to -16.9%<br />

-17% to -37%<br />

Percent Change <strong>in</strong><br />

Population 60 Years<br />

and Over, 1990 to 2000<br />

for <strong>Wayne</strong> <strong>County</strong> Communities


Northville<br />

Harper<br />

Woods<br />

Grosse<br />

Po<strong>in</strong>te<br />

Woods<br />

Northville Twp<br />

Plymouth Twp<br />

Livonia<br />

Redford<br />

Twp<br />

Detroit<br />

Highland<br />

Park<br />

Hamtramck<br />

Grosse<br />

Po<strong>in</strong>te<br />

Farms<br />

Grosse<br />

Po<strong>in</strong>te<br />

Shores<br />

Plymouth<br />

Westland<br />

Dearborn<br />

Heights<br />

Grosse<br />

Po<strong>in</strong>te<br />

Park<br />

Grosse<br />

Po<strong>in</strong>te<br />

Garden City<br />

Canton Twp.<br />

Inkster<br />

Dearborn<br />

<strong>Wayne</strong><br />

Allen Park<br />

Melv<strong>in</strong>dale<br />

River<br />

Rouge<br />

Van Buren Twp<br />

Belleville<br />

Romulus<br />

Taylor<br />

Southgate<br />

L<strong>in</strong>coln<br />

Park<br />

Riverview<br />

Ecorse<br />

Wyandotte<br />

Population 60 Years<br />

and Over as a Share<br />

<strong>of</strong> Total Population, 2000<br />

for <strong>Wayne</strong> <strong>County</strong> Communities<br />

Sumpter Twp<br />

Huron Twp<br />

Flat Rock<br />

Woodhaven<br />

Trenton<br />

Gibraltar<br />

Grosse<br />

Ile<br />

Twp<br />

Share <strong>of</strong> Total Population<br />

22% to 31%<br />

18% to 21.9%<br />

16% to 17.9%<br />

12% to 15.9%<br />

8% to 11.9%<br />

Rockwood<br />

Brownstown Twp<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


Canton Twp.<br />

Plymouth<br />

Northville Twp<br />

Plymouth Twp<br />

Northville<br />

Van Buren Twp<br />

Belleville<br />

Sumpter Twp<br />

Westland<br />

Romulus<br />

Huron Twp<br />

<strong>Wayne</strong><br />

Inkster<br />

Livonia<br />

Garden City<br />

Brownstown Twp<br />

Flat Rock<br />

Redford<br />

Twp<br />

Dearborn<br />

Heights<br />

Woodhaven<br />

Rockwood<br />

Taylor<br />

Dearborn<br />

Gibraltar<br />

Southgate<br />

Allen Park<br />

Trenton<br />

Riverview<br />

Melv<strong>in</strong>dale<br />

L<strong>in</strong>coln<br />

Park<br />

Detroit<br />

Wyandotte<br />

Ecorse<br />

Grosse<br />

Ile<br />

Twp<br />

River<br />

Rouge<br />

Highland<br />

Park<br />

Hamtramck<br />

Grosse<br />

Po<strong>in</strong>te<br />

Park<br />

Grosse<br />

Po<strong>in</strong>te<br />

Grosse<br />

Po<strong>in</strong>te<br />

Shores<br />

Grosse<br />

Po<strong>in</strong>te<br />

Farms<br />

Grosse<br />

Po<strong>in</strong>te<br />

Woods<br />

Harper<br />

Woods<br />

385<br />

385<br />

385<br />

385<br />

385<br />

385<br />

385<br />

385<br />

385<br />

76<br />

76<br />

76<br />

76<br />

76<br />

76<br />

76<br />

76<br />

76<br />

21<br />

21<br />

21<br />

21<br />

21<br />

21<br />

21<br />

21<br />

21<br />

30<br />

30<br />

30<br />

30<br />

30<br />

30<br />

30<br />

30<br />

30<br />

147<br />

147<br />

147<br />

147<br />

147<br />

147<br />

147<br />

147<br />

147<br />

105<br />

105<br />

105<br />

105<br />

105<br />

105<br />

105<br />

105<br />

105<br />

726<br />

726<br />

726<br />

726<br />

726<br />

726<br />

726<br />

726<br />

726<br />

2,774<br />

2,774<br />

2,774<br />

2,774<br />

2,774<br />

2,774<br />

2,774<br />

2,774<br />

2,774<br />

131<br />

131<br />

131<br />

131<br />

131<br />

131<br />

131<br />

131<br />

131<br />

13<br />

13<br />

13<br />

13<br />

13<br />

13<br />

13<br />

13<br />

13<br />

57<br />

57<br />

57<br />

57<br />

57<br />

57<br />

57<br />

57<br />

57<br />

92<br />

92<br />

92<br />

92<br />

92<br />

92<br />

92<br />

92<br />

92<br />

107<br />

107<br />

107<br />

107<br />

107<br />

107<br />

107<br />

107<br />

107<br />

67<br />

67<br />

67<br />

67<br />

67<br />

67<br />

67<br />

67<br />

67<br />

887<br />

887<br />

887<br />

887<br />

887<br />

887<br />

887<br />

887<br />

887<br />

587<br />

587<br />

587<br />

587<br />

587<br />

587<br />

587<br />

587<br />

587<br />

272<br />

272<br />

272<br />

272<br />

272<br />

272<br />

272<br />

272<br />

272<br />

130<br />

130<br />

130<br />

130<br />

130<br />

130<br />

130<br />

130<br />

130<br />

99<br />

99<br />

99<br />

99<br />

99<br />

99<br />

99<br />

99<br />

99<br />

104<br />

104<br />

104<br />

104<br />

104<br />

104<br />

104<br />

104<br />

104<br />

447<br />

447<br />

447<br />

447<br />

447<br />

447<br />

447<br />

447<br />

447<br />

2,791<br />

2,791<br />

2,791<br />

2,791<br />

2,791<br />

2,791<br />

2,791<br />

2,791<br />

2,791<br />

312<br />

312<br />

312<br />

312<br />

312<br />

312<br />

312<br />

312<br />

312<br />

188<br />

188<br />

188<br />

188<br />

188<br />

188<br />

188<br />

188<br />

188<br />

303<br />

303<br />

303<br />

303<br />

303<br />

303<br />

303<br />

303<br />

303<br />

27<br />

27<br />

27<br />

27<br />

27<br />

27<br />

27<br />

27<br />

27<br />

21<br />

21<br />

21<br />

21<br />

21<br />

21<br />

21<br />

21<br />

21<br />

77<br />

77<br />

77<br />

77<br />

77<br />

77<br />

77<br />

77<br />

77<br />

121<br />

121<br />

121<br />

121<br />

121<br />

121<br />

121<br />

121<br />

121<br />

10<br />

10<br />

10<br />

10<br />

10<br />

10<br />

10<br />

10<br />

10<br />

17<br />

17<br />

17<br />

17<br />

17<br />

17<br />

17<br />

17<br />

17<br />

653<br />

653<br />

653<br />

653<br />

653<br />

653<br />

653<br />

653<br />

653<br />

13<br />

13<br />

13<br />

13<br />

13<br />

13<br />

13<br />

13<br />

13<br />

481<br />

481<br />

481<br />

481<br />

481<br />

481<br />

481<br />

481<br />

481<br />

8<br />

860<br />

860<br />

860<br />

860<br />

860<br />

860<br />

860<br />

860<br />

860<br />

22<br />

22<br />

22<br />

22<br />

22<br />

22<br />

22<br />

22<br />

22<br />

670<br />

670<br />

670<br />

670<br />

670<br />

670<br />

670<br />

670<br />

670<br />

48<br />

48<br />

48<br />

48<br />

48<br />

48<br />

48<br />

48<br />

48<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

102,670<br />

102,670<br />

102,670<br />

102,670<br />

102,670<br />

102,670<br />

102,670<br />

102,670<br />

102,670<br />

985<br />

985<br />

985<br />

985<br />

985<br />

985<br />

985<br />

985<br />

985<br />

446<br />

446<br />

446<br />

446<br />

446<br />

446<br />

446<br />

446<br />

446<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb<br />

Share <strong>of</strong> Population<br />

69% to 92%<br />

46% to 68.9%<br />

23% to 45.9%<br />

Less than 23%<br />

M<strong>in</strong>orities 60 Years <strong>of</strong> Age and<br />

Over as Share <strong>of</strong> All Persons<br />

60 Years and Over<br />

for <strong>Wayne</strong> <strong>County</strong> Communities


Northville<br />

Harper<br />

Woods<br />

Grosse<br />

Po<strong>in</strong>te<br />

Woods<br />

Northville Twp<br />

Plymouth Twp<br />

Livonia<br />

Redford<br />

Twp<br />

Detroit<br />

Highland<br />

Park<br />

Hamtramck<br />

Grosse<br />

Po<strong>in</strong>te<br />

Farms<br />

Grosse<br />

Po<strong>in</strong>te<br />

Shores<br />

Plymouth<br />

Westland<br />

Dearborn<br />

Heights<br />

Grosse<br />

Po<strong>in</strong>te<br />

Park<br />

Grosse<br />

Po<strong>in</strong>te<br />

Garden City<br />

Canton Twp.<br />

Inkster<br />

Dearborn<br />

<strong>Wayne</strong><br />

Allen Park<br />

Melv<strong>in</strong>dale<br />

River<br />

Rouge<br />

Van Buren Twp<br />

Belleville<br />

Romulus<br />

Taylor<br />

Southgate<br />

L<strong>in</strong>coln<br />

Park<br />

Riverview<br />

Ecorse<br />

Wyandotte<br />

Percent <strong>of</strong> Population<br />

60 Years and Over at<br />

or Below 150% <strong>of</strong> Poverty<br />

for <strong>Wayne</strong> <strong>County</strong> Communities<br />

Sumpter Twp<br />

Huron Twp<br />

Flat Rock<br />

Woodhaven<br />

Trenton<br />

Gibraltar<br />

Grosse<br />

Ile<br />

Twp<br />

Percent <strong>of</strong> Population<br />

24% to 46%<br />

17% to 23.9%<br />

12% to 16.9%<br />

8% to 11.9%<br />

2% to 7.9%<br />

Brownstown Twp<br />

Rockwood<br />

Note: Data for 60+ not available <strong>in</strong><br />

standard Census releases.<br />

Special tabulation was performed by<br />

MIMIC/CUS.<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


Percentage Change <strong>in</strong> Population 60 Years<br />

<strong>of</strong> Age and Over, 1990 - 2000<br />

Sectors <strong>in</strong> Detroit Area Agency on Ag<strong>in</strong>g Region 1-A<br />

8 Mile Road<br />

39<br />

10<br />

75<br />

-230<br />

-4,781<br />

-5,644<br />

94<br />

Van Dyke<br />

Telegraph<br />

-1,394<br />

-1,394 10<br />

-2,869<br />

Grand River<br />

1,271<br />

-1,930<br />

Gratiot<br />

-2,869<br />

96<br />

75<br />

94<br />

96<br />

39<br />

-3,464<br />

-7,160<br />

Woodward<br />

-6,285<br />

-5,952<br />

10<br />

75<br />

94<br />

<strong>Michigan</strong><br />

96<br />

75<br />

75<br />

375<br />

Belle Isle<br />

Detroit River<br />

-5,180<br />

Percent Change<br />

10%<br />

-14.9% to -2%<br />

-27.9% to -15%<br />

-41% to -28%<br />

75<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


Number <strong>of</strong> Persons 60 Years <strong>of</strong> Age and Over, 2000<br />

Sectors <strong>in</strong> Detroit Area Agency on Ag<strong>in</strong>g Region 1-A<br />

8 Mile Road<br />

Van Dyke<br />

39<br />

10<br />

75<br />

Woodward<br />

12,790<br />

12,858<br />

8,238<br />

94<br />

13,009<br />

Telegraph<br />

8,956<br />

Grand River<br />

14,047<br />

10<br />

6,397<br />

Gratiot<br />

96<br />

75<br />

94<br />

96<br />

39<br />

14,538<br />

16,497<br />

12,380<br />

17,294<br />

10<br />

75<br />

94<br />

<strong>Michigan</strong><br />

96<br />

75<br />

75<br />

375<br />

Belle Isle<br />

Detroit River<br />

10,802<br />

Total Population<br />

75<br />

14,700 to 17,300<br />

11,900 to 14,699<br />

10,802<br />

6,300 to 9,099<br />

Source: US Census Bureau<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


M<strong>in</strong>orities 60 Years <strong>of</strong> Age and Over<br />

as Share <strong>of</strong> All Persons 60 Years and Over<br />

Sectors <strong>in</strong> Detroit Area Agency on Ag<strong>in</strong>g Region 1-A<br />

8 Mile Road<br />

Van Dyke<br />

39<br />

10<br />

75<br />

Woodward<br />

12,237<br />

10,117<br />

5,275<br />

94<br />

Telegraph<br />

6,445<br />

Grand River<br />

13,361<br />

10<br />

3,529<br />

Gratiot<br />

397<br />

96<br />

75<br />

94<br />

96<br />

16,218<br />

13,901<br />

39<br />

9,525<br />

10,835<br />

10<br />

75<br />

94<br />

<strong>Michigan</strong><br />

96<br />

75<br />

75<br />

375<br />

Belle Isle<br />

6,086<br />

Detroit River<br />

Share <strong>of</strong> Population<br />

80% to 99.9%<br />

60% to 79.9%<br />

41% to 59.9%<br />

3%<br />

75<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


Percent <strong>of</strong> Population 60 Years and<br />

Over at or Below 150% <strong>of</strong> Poverty<br />

Sectors <strong>in</strong> Detroit Area Agency on Ag<strong>in</strong>g Region 1-A<br />

8 Mile Road<br />

Van Dyke<br />

39<br />

10<br />

75<br />

Woodward<br />

2,167<br />

2,282<br />

4,231<br />

2,231<br />

94<br />

823<br />

Telegraph<br />

10<br />

2,335<br />

Gratiot<br />

Grand River<br />

96<br />

75<br />

94<br />

96<br />

5,390<br />

6,103<br />

3,748<br />

39<br />

5,483<br />

10<br />

75<br />

94<br />

<strong>Michigan</strong><br />

96<br />

75<br />

75<br />

375<br />

Belle Isle<br />

3,645<br />

Detroit River<br />

Percent <strong>of</strong> Population<br />

75<br />

38% to 46%<br />

30% to 37.9%<br />

22% to 29.9%<br />

18%<br />

6%<br />

Note: Data for 60+ not available <strong>in</strong><br />

standard Census releases.<br />

Special tabulation was performed by<br />

MIMIC/CUS.<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


Population 60 Years <strong>of</strong> Age and Over, 1990 to 2000<br />

Area Agency on Ag<strong>in</strong>g 1-C Service Area by Community<br />

-9<br />

Northville<br />

Northville Twp<br />

-1,411<br />

Livonia<br />

Redford<br />

Twp<br />

Plymouth Twp<br />

-1,121<br />

Plymouth<br />

263<br />

-2,010<br />

2,803<br />

Westland<br />

-2,108<br />

-73<br />

Garden City<br />

Dearborn<br />

Heights<br />

750<br />

Dearborn<br />

Canton Twp.<br />

-2,467<br />

277<br />

<strong>Wayne</strong><br />

Inkster<br />

571<br />

2,296<br />

Allen Park<br />

380<br />

Melv<strong>in</strong>dale<br />

River<br />

Rouge<br />

416<br />

Van Buren Twp<br />

-184<br />

1,191<br />

L<strong>in</strong>coln<br />

Park<br />

1,336<br />

Ecorse<br />

249<br />

-57<br />

Belleville<br />

Romulus<br />

-184<br />

Taylor<br />

-1,357<br />

Southgate<br />

-166<br />

Wyandotte<br />

1,208<br />

-74<br />

-325<br />

Riverview<br />

-558 -541<br />

Sumpter Twp<br />

Huron Twp<br />

Woodhaven<br />

-406 -483<br />

Trenton<br />

Grosse<br />

Ile<br />

Twp<br />

-376<br />

Flat Rock<br />

-33<br />

-147<br />

Gibraltar<br />

Percent Change<br />

45% to 62%<br />

30% to 44.9%<br />

15% to 29.9%<br />

1% to 14.9%<br />

-23% to -1%<br />

Brownstown Twp<br />

Rockwood<br />

-49<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


Population 60 Years <strong>of</strong> Age and Over, 2000<br />

Area Agency on Ag<strong>in</strong>g 1-C Service Area by Community<br />

Northville<br />

Northville Twp<br />

Livonia<br />

Redford<br />

Twp<br />

Plymouth Twp<br />

Plymouth<br />

Westland<br />

Dearborn<br />

Heights<br />

Garden City<br />

Canton Twp.<br />

Inkster<br />

Dearborn<br />

<strong>Wayne</strong><br />

Melv<strong>in</strong>dale<br />

River<br />

Rouge<br />

Allen Park<br />

L<strong>in</strong>coln<br />

Park<br />

Ecorse<br />

Van Buren Twp<br />

Belleville<br />

Romulus<br />

Taylor<br />

Southgate<br />

Wyandotte<br />

Riverview<br />

Sumpter Twp<br />

Huron Twp<br />

Woodhaven<br />

Trenton<br />

Grosse<br />

Ile<br />

Twp<br />

0<br />

Flat Rock<br />

Gibraltar<br />

0<br />

Total Persons<br />

17,200 to 21,400<br />

13,000 to 17,199<br />

8,800 to 12,999<br />

4,600 to 8,799<br />

400 to 4,599<br />

Brownstown Twp<br />

Rockwood<br />

0<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


Percent M<strong>in</strong>ority <strong>in</strong> the Population 60 Years <strong>of</strong> Age<br />

and Over, 2000<br />

Area Agency on Ag<strong>in</strong>g 1-C Service Area by Community<br />

Northville<br />

Northville Twp<br />

Livonia<br />

Redford<br />

Twp<br />

Plymouth Twp<br />

Plymouth<br />

Westland<br />

Dearborn<br />

Heights<br />

Garden City<br />

Dearborn<br />

Canton Twp.<br />

Inkster<br />

<strong>Wayne</strong><br />

Melv<strong>in</strong>dale<br />

River<br />

Rouge<br />

Allen Park<br />

Ecorse<br />

L<strong>in</strong>coln<br />

Park<br />

Van Buren Twp<br />

Belleville<br />

Romulus<br />

Taylor<br />

Southgate<br />

Wyandotte<br />

Riverview<br />

Sumpter Twp<br />

Huron Twp<br />

Woodhaven<br />

Trenton<br />

Grosse<br />

Ile<br />

Twp<br />

Flat Rock<br />

Gibraltar<br />

Percent <strong>of</strong> Population<br />

24% to 66%<br />

6% to 23.9%<br />

3% to 5.9%<br />

2% to 2.9%<br />

1% to 1.9%<br />

Brownstown Twp<br />

Rockwood<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb


Percent <strong>of</strong> Population 60 Years and Over at<br />

or Below 150% <strong>of</strong> Poverty<br />

Area Agency on Ag<strong>in</strong>g 1-C Service Area by Community<br />

Northville<br />

Northville Twp<br />

Livonia<br />

Redford<br />

Twp<br />

Plymouth Twp<br />

Plymouth<br />

Westland<br />

Dearborn<br />

Heights<br />

Garden City<br />

Dearborn<br />

Canton Twp.<br />

Inkster<br />

<strong>Wayne</strong><br />

Melv<strong>in</strong>dale<br />

River<br />

Rouge<br />

Allen Park<br />

Ecorse<br />

L<strong>in</strong>coln<br />

Park<br />

Van Buren Twp<br />

Belleville<br />

Romulus<br />

Taylor<br />

Southgate<br />

Wyandotte<br />

Riverview<br />

Sumpter Twp<br />

Huron Twp<br />

Woodhaven<br />

Trenton<br />

Grosse<br />

Ile<br />

Twp<br />

Flat Rock<br />

Gibraltar<br />

Percent <strong>of</strong> Population<br />

Rockwood<br />

24% to 28%<br />

19% to 23.9%<br />

14% to 18.9%<br />

9% to 13.9%<br />

4% to 8.9%<br />

Note: Data for 60+ not available <strong>in</strong> standard Census releases.<br />

Special tabulation was performed by MIMIC/CUS.<br />

Brownstown Twp<br />

WSU/CUS/<strong>Michigan</strong> Metropolitan Information Center/jcb

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