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Determinants and Dynamics of Micronesian Emigration

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A Brief Discussion<br />

for the<br />

<strong>Micronesian</strong> Voices in Hawaii Conference<br />

April 2008<br />

Ben Graham


Outline<br />

1. Foreword<br />

2. Guiding Questions<br />

3. Migration 101: What We Know<br />

4. WWII to Independence<br />

5. <strong>Micronesian</strong> <strong>Emigration</strong> Today<br />

6. The Numbers<br />

7. Development Intentions<br />

8. Issues <strong>and</strong> Indicators<br />

9. Summary<br />

10. Looking Forward


Foreword<br />

Focus on:<br />

international emigration (movement <strong>of</strong> persons out <strong>of</strong><br />

one country <strong>and</strong> into another)<br />

from the FSM <strong>and</strong> the RMI into the United States<br />

“Micronesia” <strong>and</strong> “<strong>Micronesian</strong>s” refer to FSM/RMI <strong>and</strong><br />

their citizens (Palau <strong>and</strong> other countries in region not<br />

specifically discussed)


Guiding Questions<br />

What are common drivers <strong>and</strong> characteristics <strong>of</strong> global<br />

migration<br />

What do we know specifically about <strong>Micronesian</strong><br />

emigration over time<br />

What are key factors driving <strong>Micronesian</strong>s to leave their<br />

isl<strong>and</strong>s today<br />

What are main social, economic, <strong>and</strong> other issues we must<br />

consider to better underst<strong>and</strong> <strong>Micronesian</strong> emigration<br />

Looking forward, what are some important issues to<br />

consider


Migration 101: What We Know<br />

Humans have always migrated as a way to improve their<br />

condition<br />

<strong>Micronesian</strong>s in particular have (over thous<strong>and</strong>s <strong>of</strong> years<br />

<strong>and</strong> out <strong>of</strong> basic necessity) always been highly mobile<br />

people<br />

Today, global migration pressures continue to rise, mostly<br />

from the developing to the developed world<br />

Every year, millions <strong>of</strong> emigrants from developing<br />

countries gain access into developed countries via formal<br />

<strong>and</strong> legal processes<br />

Every year many enter illegally


Migration 101: What We Know<br />

US alone sees nearly two million entrants a year, half a<br />

million <strong>of</strong> which are illegal<br />

Earliest economic models for predicting emigration (at<br />

individual level) identified the following as major factors<br />

influencing decision:<br />

Earnings at home<br />

Potential earnings abroad<br />

Cost <strong>of</strong> migration


Migration 101: What We Know<br />

Over time, <strong>and</strong> with more research, more variables have<br />

been added. Common factors on sending country side<br />

include:<br />

Poverty <strong>and</strong> hardship<br />

Unemployment<br />

Low wages<br />

High fertility<br />

Poor health <strong>and</strong> education services<br />

Conflict, insecurity, violence<br />

Governance issues<br />

Human rights abuse, persecution, discrimination


Migration 101: What We Know<br />

On the receiving side, major factors include:<br />

Stock <strong>of</strong> previous emigrants from home country now<br />

residing in destination country (the “friends <strong>and</strong><br />

relatives” effect)<br />

Dem<strong>and</strong> for labor<br />

Potential for improved living st<strong>and</strong>ard<br />

Safety <strong>and</strong> security<br />

Political <strong>and</strong> religious freedom<br />

Family reunification<br />

Return to ethnic homel<strong>and</strong><br />

Freedom from discrimination <strong>and</strong> persecution


Migration 101: What We Know<br />

In the middle, some factors can enable or deter the flow <strong>of</strong><br />

migration from one country to another, namely:<br />

Cost<br />

Distance<br />

Immigration policies<br />

In short, international migration is influenced by a wide <strong>and</strong><br />

complex set <strong>of</strong> factors on the sending side, the receiving<br />

side, <strong>and</strong> in between. <strong>Emigration</strong> theories <strong>and</strong> models<br />

developed over the years can only partially explain <strong>and</strong><br />

predict the emigration phenomenon.


Migration 101: What We Know<br />

A simplified framework for studying migration<br />

Push Factors<br />

Poverty/hardship<br />

Unemployment<br />

Low wages<br />

High fertility<br />

Poor health, education<br />

basic services<br />

Conflict, war, , insecurity<br />

violence<br />

Governance issues<br />

Human abuse, rights<br />

discrimination,<br />

persecution<br />

Natural disasters<br />

Others<br />

Barriers/Enablers<br />

Immigration<br />

policy<br />

Distance<br />

Cost<br />

Pull Factors<br />

Prospects <strong>of</strong> higher<br />

wages<br />

Dem<strong>and</strong> for labor<br />

Potential improved for<br />

living st<strong>and</strong>ard<br />

Safety <strong>and</strong> security<br />

Political/religious<br />

freedom<br />

Family reunification<br />

(friends <strong>and</strong> relatives)<br />

Ethnic homel<strong>and</strong><br />

Freedom from<br />

discrimination<br />

Others


Migration 101: What We Know<br />

A few other important characteristics <strong>of</strong> emigration:<br />

Contrary to popular belief, emigration from poor countries<br />

typically increases as economic development in these<br />

countries takes place<br />

There has been observed a hump-shaped curve reflecting the<br />

relationship between economic development <strong>and</strong> emigration<br />

Migration (in general) can have pr<strong>of</strong>ound effects on<br />

development, human capital accumulation, poverty, <strong>and</strong><br />

many other issues in both sending <strong>and</strong> receiving countries<br />

Internal migration (mostly in terms <strong>of</strong> urban migration) <strong>and</strong><br />

migration between developing countries are also growing


WWII to Independence<br />

1950s <strong>and</strong> 1960s: Movement Strategically Denied<br />

Post WWII years characterized by relatively limited<br />

movement <strong>of</strong> people into <strong>and</strong> out <strong>of</strong> Micronesia<br />

US administration <strong>of</strong> TTPI emphasized control <strong>and</strong><br />

security<br />

US policy <strong>of</strong> strategic denial in force<br />

However late 1960s saw entry <strong>of</strong> regularly scheduled<br />

airline services (Continental Micronesia) <strong>and</strong> Peace<br />

Corps


WWII to Independence<br />

1970s <strong>and</strong> 1980s: <strong>Emigration</strong> for Education Begins<br />

Schools built in the 1950s <strong>and</strong> 1960s began graduating<br />

students in 1960s <strong>and</strong> 1970s<br />

<strong>Emigration</strong> for education began in the 1970s<br />

Most emigration out <strong>of</strong> Micronesia throughout the<br />

1970s <strong>and</strong> 1980s was for education


<strong>Micronesian</strong> <strong>Emigration</strong> Today<br />

The 1986 commencement <strong>of</strong> the Compacts the defining<br />

moment in modern <strong>Micronesian</strong> emigration<br />

Whereas education the initial driver, after 1986 we see a<br />

broadening <strong>of</strong> factors<br />

<strong>Micronesian</strong>s increasingly citing economic opportunity<br />

<strong>and</strong> employment as the key drivers<br />

While 15.6 percent <strong>of</strong> post-Compact migrants in Hawaii in<br />

1997 cited employment as their primary reason in 2003 this<br />

increased to 18.2 percent<br />

Other drivers gaining importance: medical <strong>and</strong> subsistence<br />

Arkansas Marshallese cite employment as #1


<strong>Micronesian</strong> <strong>Emigration</strong> Today<br />

Reason for Migrating (post-Compact migrants), Hawaii: 1997 <strong>and</strong> 2003<br />

Source: Censuses <strong>of</strong> <strong>Micronesian</strong>s in Hawaii.


The Numbers<br />

<strong>Emigration</strong> has grown rapidly especially since beginning <strong>of</strong><br />

the Compacts<br />

But not unpredicted:<br />

1963 Solomon report “in the long run ... certain inflexible<br />

economic limitations <strong>of</strong> the area <strong>and</strong> the increasing<br />

population pressure must eventually compel substantial<br />

emigration <strong>of</strong> <strong>Micronesian</strong>s.”<br />

1986 Fran Hezel “There is every reason to believe that the<br />

trickle <strong>of</strong> emigrants will increase considerably in the near<br />

future… Unless the isl<strong>and</strong> nations <strong>of</strong> Micronesia are somehow<br />

able to turn around their economies <strong>and</strong> create hundreds <strong>of</strong><br />

new jobs without the assistance <strong>of</strong> higher levels <strong>of</strong> US aid,<br />

there is a good chance that more young people will elect to<br />

leave home <strong>and</strong> pursue jobs, wherever they are to be found.”


The Numbers<br />

Neither FSM nor RMI have systems to capture emigration<br />

data<br />

Recently discovered US Department <strong>of</strong> Transportation<br />

database captures all movements <strong>of</strong> airline passengers<br />

Analyze air passenger movements into <strong>and</strong> out <strong>of</strong><br />

<strong>Micronesian</strong> <strong>and</strong> US airports (embarkations <strong>and</strong><br />

disembarkations) from the early 1990s to today<br />

The following summarizes net embarkations (departures<br />

over arrivals) <strong>of</strong> air passengers over the 1991 to 2006 period<br />

The data show very clearly: over 16 year period thous<strong>and</strong>s<br />

more have departed than have arrived


The Numbers<br />

FSM saw over 23,000 net embarkations while RMI saw over<br />

15,000<br />

Chuuk 12,423<br />

Pohnpei 8,490<br />

Kosrae 1,187<br />

Yap 991<br />

While absolute numbers <strong>of</strong> FSM embarkations higher, RMI<br />

higher in percentage terms


Net Embarkations (by air) FSM <strong>and</strong> RMI: 1991 to 2006<br />

Year FSM Kosrae Pohnpei Chuuk Yap RMI Majuro Kwajalein<br />

2006 2,229 88 680 1,553 -92 1,070 884 186<br />

2005 1,511 218 496 815 -18 1,023 1,040 -17<br />

2004 2,712 131 919 1,467 195 553 542 11<br />

2003 2,699 136 485 1,890 188 781 419 362<br />

2002 1,068 158 632 203 75 913 894 19<br />

2001 1,277 83 566 652 -24 2,133 1,517 616<br />

2000 1,114 171 1,061 95 -213 1,916 1,289 627<br />

1999 -255 -13 113 -400 45 457 660 -203<br />

1998 2,032 53 911 663 405 755 833 -78<br />

1997 1,155 -65 422 689 109 1,415 1,179 236<br />

1996 1,558 77 374 1,062 45 640 586 54<br />

1995 1,890 95 818 983 -6 1,753 509 1,244<br />

1994 707 -109 -40 858 -2 546 573 -27<br />

1993 728 171 182 444 -69 930 254 676<br />

1992 1,093 -61 213 1,070 -129 706 330 376<br />

1991 1,573 54 658 379 482 -357 237 -594<br />

1991-2006 total 23,091 1,187 8,490 12,423 991 15,234 11,746 3,488<br />

1991-2006 avg 1,443 74 531 776 62 952 734 218<br />

Source: US Department <strong>of</strong> Transportation TranStats Database<br />

Note: data only for passenger movements between FSM/RMI <strong>and</strong> US, FY for FSM <strong>and</strong> CY for RMI


Net Embarkations (by air) FSM <strong>and</strong> RMI: 1991 to 2006<br />

FSM<br />

RMI<br />

1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006<br />

Source: US Department <strong>of</strong> Transportation TranStats Database<br />

Note: data only for passenger movements between FSM/RMI <strong>and</strong> US, FY for FSM <strong>and</strong> CY for RMI


The Numbers<br />

For FSM, 1998, 2003, 2004, <strong>and</strong> 2006 banner years,<br />

with more than 2,000 total net embarkations<br />

For RMI, 1995, 1997, 2000, 2001, 2005 <strong>and</strong> 2006 over<br />

1,000 net embarkations<br />

Next graph shows three year trailing averages for net<br />

embarkations for the 1993 to 2006 period<br />

For FSM, since year 2000, average has been on an<br />

upswing (except for the slight dip in 2006)<br />

For RMI, average was high in the early 2000s but has<br />

slowly leveled <strong>of</strong>f


Net Embarkations (by air) FSM <strong>and</strong> RMI, 3-Year Trailing Average: 1993 to 2006<br />

FSM<br />

RMI<br />

2,044<br />

2,288<br />

2,151<br />

1,774<br />

1,853<br />

1,131 1,195 1,208<br />

1,057<br />

915<br />

716<br />

1,259<br />

1,081<br />

868 857 882<br />

1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006<br />

Source: US Department <strong>of</strong> Transportation TranStats Database<br />

Note: data only for passenger movements between FSM/RMI <strong>and</strong> US, FY for FSM <strong>and</strong> CY for RMI


Development Intentions<br />

Generally speaking, development goals, intentions, <strong>and</strong><br />

aspirations fairly clear:<br />

Adopted similar strategies for development,<br />

prioritization on health <strong>and</strong> education sectors<br />

Amended Compacts <strong>of</strong> Free Association prioritize<br />

resource allocations to health, education <strong>and</strong><br />

supporting infrastructure<br />

Pledged to promote sustainable growth by supporting<br />

<strong>and</strong> facilitating private sector development, efficient<br />

<strong>and</strong> effective basic public services, protecting <strong>and</strong><br />

managing natural resources


Development Intentions<br />

Both countries have held national economic <strong>and</strong> social<br />

summits<br />

Both countries have formulated economic development<br />

plans<br />

Both have signed onto multiple international treaties that<br />

commit them to achieving specific development goals <strong>and</strong><br />

targets (MDGs)<br />

But neither the FSM nor the RMI have very clear<br />

definitions <strong>of</strong> poverty <strong>and</strong> hardship <strong>and</strong> neither has<br />

articulated poverty alleviation or social protection strategy


Issues <strong>and</strong> Indicators<br />

Median Age: 1999-2000<br />

Source: Secretariat <strong>of</strong> the Pacific Community PRISM website, census reports


Issues <strong>and</strong> Indicators<br />

Population Pyramids for RMI, FSM: 1999-2000<br />

Source: Secretariat <strong>of</strong> the Pacific Community PRISM website, census reports


Issues <strong>and</strong> Indicators<br />

Average Household Size: 1999-2000<br />

Source: census reports


Issues <strong>and</strong> Indicators<br />

Both countries have rapidly growing working age<br />

populations (2006):<br />

FSM 60,500 <strong>and</strong> RMI 28,900<br />

In the labor force:<br />

FSM 35,400 <strong>and</strong> RMI 14,800 (historically low LFPRs)<br />

Formally employed:<br />

FSM 16,463 <strong>and</strong> RMI 9,810 (registered in the Social<br />

Security databases)<br />

In some areas, formal employment has contracted over<br />

time


Issues <strong>and</strong> Indicators<br />

Estimates for those in labor force but not registered<br />

as being formally employed:<br />

FSM 18,978 <strong>and</strong> RMI 4,950 persons<br />

These nearly 24,000 people are either:<br />

Formally employed but not registered<br />

Informally or self-employed<br />

Not employed


Issues <strong>and</strong> Indicators<br />

Total Population = 100<br />

Working Age Population = 56<br />

Labor Force = 31<br />

16


Issues <strong>and</strong> Indicators<br />

Estimated Labor Force <strong>and</strong> Formally Employed: 1997 to 2006<br />

Source: FSM <strong>and</strong> RMI Economic Reviews FY2006, author estimates


Issues <strong>and</strong> Indicators<br />

National Unemployment Rate: 1999-2000<br />

Source: census reports


Issues <strong>and</strong> Indicators<br />

Average Annual Real Wages, Formally Employed: 1995 to 2006<br />

Source: FSM Economic Review FY2006


Issues <strong>and</strong> Indicators<br />

As with real wages, over the long run real GDP per<br />

capita in FSM <strong>and</strong> RMI has fallen<br />

FSM real GDP per capita (1998 $) fell from $2,107 in<br />

1995 to $1,888 in FY2006<br />

In RMI the decline (in 2000 $) from $2,693 to $2,454


Issues <strong>and</strong> Indicators<br />

Percent <strong>of</strong> Population Living Below Basic Needs Poverty Line: 1999-2000<br />

Source: ADB Hardship in the Pacific series


Issues <strong>and</strong> Indicators<br />

Participatory Poverty Assessments conducted in 2002 (for<br />

RMI) <strong>and</strong> 2004 (for FSM) by ADB<br />

Conclusion: that while extreme poverty does not currently<br />

exist, many feel that hardship being experienced by many<br />

families in both urban <strong>and</strong> rural areas<br />

Some families find it increasingly difficult to earn cash<br />

needed to meet living expenses<br />

In 2006 RMI Community Survey, 27 percent <strong>of</strong> households<br />

indicated overall quality <strong>of</strong> life has gotten worse or much<br />

worse in recent years


Issues <strong>and</strong> Indicators<br />

Public Expenditure on Education (% <strong>of</strong> GDP): 2003<br />

Source: IMF


Issues <strong>and</strong> Indicators<br />

Public Expenditure on Health (% <strong>of</strong> GDP): 2003<br />

Source: IMF


Issues <strong>and</strong> Indicators<br />

Annual Average Per Capita Spending for Education/Health ($): 2005<br />

Source: World Bank


Issues <strong>and</strong> Indicators<br />

World Health Organization Global Rankings on Overall Performance <strong>of</strong> Health Systems (191 countries): 2000<br />

Source: WHO


Issues <strong>and</strong> Indicators<br />

Life Expectancy, Male <strong>and</strong> Female (from latest censuses)<br />

Source: Secretariat <strong>of</strong> the Pacific Community, PRISM website


Issues <strong>and</strong> Indicators<br />

Retention Rates, Grades 1,8,9,12<br />

Source: World Bank <strong>and</strong> Hezel, F. (2002). Taking Responsibility for our Schools. PREL.


Issues <strong>and</strong> Indicators<br />

Political -2005 Stability<br />

HIGH<br />

(Chosen comparator also shown for selected countries)<br />

Normalized Political Instability <strong>and</strong> Violence Index<br />

LOW<br />

213 Countries<br />

FIJI<br />

TONGA<br />

AMERICAN SAMOA<br />

MICRONESIA<br />

SAMOA<br />

MARSHALL ISLANDS<br />

KIRIBATI<br />

Note: Blue dots represent estimates for<br />

the 2005 governance indicators. The thin<br />

vertical lines represent st<strong>and</strong>ard errors<br />

around these estimates for each country<br />

in -wide world sample. Black dot<br />

represents the chosen year comparator<br />

(if any). To add or delete countries from<br />

the chart, click on the "Country Selection"<br />

tab . below<br />

Source: -2005 " by "Governance Daniel Kaufmann, Matters Aart V: Governance Kraay <strong>and</strong> Massimo Indicators Mastruzzi. for 1996<br />

Disclaimer:<br />

The by a large governance number indicators <strong>of</strong> presented here reflect the statistical compilation <strong>of</strong> responses on the quality <strong>of</strong> governance given<br />

enterprise, nst itutes, - think citizen tanks, <strong>and</strong> nonexpert survey respondents in industrial <strong>and</strong> developing countries, as reported by a number <strong>of</strong> survey i<br />

governmental <strong>of</strong> the World Bank, organizations, its Executive <strong>and</strong> international organizations. The aggregate indicators in no way reflect the <strong>of</strong> ficial position<br />

Directors, on these indicators the are countries subject they to represent. As discussed in detail in the accompanying papers, countries' relative positions<br />

margins <strong>of</strong> error that are clearly indicated. Consequently, precise country rankings should not be inferred from this data.


Issues <strong>and</strong> Indicators<br />

Control -2005 <strong>of</strong> Corruption<br />

HIGH<br />

(Chosen comparator also shown for selected countries)<br />

Normalized Control <strong>of</strong> Corruption Index<br />

TONGA<br />

LOW<br />

204 Countries<br />

FIJI<br />

Source: -2005 " by "Governance Daniel Kaufmann, Matters Aart V: Governance Kraay <strong>and</strong> Massimo Indicators Mastruzzi. f or 1996<br />

Disclaimer:<br />

The by a large governance number indicators <strong>of</strong> presented here reflect the statistical compilation <strong>of</strong> responses on the quality <strong>of</strong> governance given<br />

enterprise, nst itutes, - think citizen tanks, <strong>and</strong> nonexpert survey respondents in industrial <strong>and</strong> developing countries, as reported by a number <strong>of</strong> survey i<br />

governmental <strong>of</strong> the World Bank, organizations, its Executive <strong>and</strong> international organizations. The aggregate indicators in no way reflect the <strong>of</strong>ficial position<br />

Directors, on these indicators the are countries subject they to represent. As discussed in detail in the accompanying papers, countries' relative positions<br />

margins <strong>of</strong> error that are clearly indicated. Consequently, precise country rankings should not be inferred from this data.<br />

MARSHALL ISLANDS<br />

MICRONESIA<br />

SAMOA<br />

KIRIBATI<br />

AMERICAN SAMOA<br />

Note: Blue dots represent estimates for<br />

the 2005 governance indicators. The thin<br />

vertical lines represent st<strong>and</strong>ard errors<br />

around these estimates for each country<br />

in -wide world sample. Black dot<br />

represents the chosen year comparator<br />

(if any). To add or delete countries from<br />

the chart, click on the "Country Selection"<br />

tab . below


Issues <strong>and</strong> Indicators<br />

Is RMI Government (2006) Responsive to Community Needs<br />

Source: 2006 RMI Community Survey


Summary<br />

Young population structures = continued high growth in<br />

working ages, labor force<br />

Micronesia will have excess labor supply for long time, but<br />

employment opportunities at home growing slowly<br />

Unemployment <strong>and</strong> inactivity high, especially among<br />

youth<br />

Real incomes have fallen since 1990s, many households<br />

below basic needs lines<br />

FSM <strong>and</strong> RMI spend far more on health/education but<br />

much room for improvement<br />

In governance, both countries can make improvements


Looking Forward<br />

No reason to believe that magnitude <strong>of</strong> emigration will<br />

dramatically change any time soon - many push, pull,<br />

enabling factors at play<br />

Push Factors<br />

Poverty/hardship<br />

Unemployment<br />

Low wages<br />

High fertility<br />

Poor health, education<br />

basic services<br />

Conflict, war, , insecurity<br />

violence<br />

Governance issues<br />

Human abuse, rights<br />

discrimination,<br />

persecution<br />

Natural disasters<br />

Others<br />

Barriers/Enablers<br />

Immigration<br />

policy<br />

Distance<br />

Cost<br />

Pull Factors<br />

Prospects <strong>of</strong> higher<br />

wages<br />

Dem<strong>and</strong> for labor<br />

Potential improved for<br />

living st<strong>and</strong>ard<br />

Safety <strong>and</strong> security<br />

Political/religious<br />

freedom<br />

Family reunification<br />

(friends <strong>and</strong> relatives)<br />

Ethnic homel<strong>and</strong><br />

Freedom from<br />

discrimination<br />

Others


Looking Forward<br />

PUSH: hardship, unemployment, low wages, limited<br />

education <strong>and</strong> health services, general lack <strong>of</strong> economic<br />

security, boredom – all will continue to push <strong>Micronesian</strong>s<br />

PULL: plentiful jobs, better wages, education<br />

opportunities, health services, growing pool <strong>of</strong> friends <strong>and</strong><br />

relatives, prospects <strong>of</strong> improved living st<strong>and</strong>ards, economic<br />

security, citizenship, more US <strong>and</strong> other employers directly<br />

hiring from Micronesia () – all will continue to pull<br />

<strong>Micronesian</strong>s<br />

ENABLERS: open door access under Compact, friends <strong>and</strong><br />

relatives covering emigration costs, short distances to<br />

some destinations (Guam, Honolulu)


Looking Forward<br />

Some key questions <strong>and</strong> issues to also consider:<br />

Is the open access under the Compact permanent<br />

What about companies now directly recruiting<br />

<strong>Micronesian</strong>s from home (covering costs, etc.)<br />

What about climate change <strong>and</strong> sea level rise<br />

What about seasonal work schemes (e.g., Guam,<br />

Taiwan, etc.)<br />

What about growth in tourism<br />

What about remittances (financial, governance, etc.)<br />

Other issues


Looking Forward<br />

Both countries have promised to improve human<br />

development, economies, <strong>and</strong> quality <strong>of</strong> life<br />

Some indicators confirm this is happening but most<br />

indicators suggest major improvements can be made,<br />

especially in health <strong>and</strong> education performance <strong>and</strong><br />

outcomes<br />

But improving health <strong>and</strong> education alone will not be<br />

enough<br />

Economic policy commitments should translate into real<br />

economic <strong>and</strong> employment growth


Looking Forward<br />

Most pubic money spent on education <strong>and</strong> health, so<br />

should highest priority be to ensure all citizens are able to<br />

complete high quality education Shouldn’t quality <strong>of</strong><br />

health care (preventative, diagnosis) dramatically improve<br />

Improving human development, social <strong>and</strong> economic<br />

outcomes is the most effective way to ensure all<br />

<strong>Micronesian</strong>s (wherever they chose to live) are able to not<br />

only survive but truly succeed in their environments


Looking Forward<br />

FSM 3 rd Economic Summit (2004):<br />

To achieve moderate growth in incomes <strong>and</strong> to avoid rising out-migration<br />

rates… need to maintain fiscal discipline… support essential services…<br />

implement a moderate program <strong>of</strong> reforms to improve the environment for<br />

domestic <strong>and</strong> foreign investment… reform program would be required…<br />

All <strong>of</strong> these principles (fiscal discipline, reform, etc.) should<br />

be pursued, however while development <strong>and</strong> rising<br />

incomes will improve the lives <strong>of</strong> <strong>Micronesian</strong>s, this may<br />

not necessarily stem the heavy tide <strong>of</strong> emigration we have<br />

now witnessed for over two decades


Hawaii specific issues…<br />

Comparable salary in<br />

Fayetteville AR:<br />

$8,108.66<br />

Salary in Honolulu HI: $14,500 ($7.25/hour @ 2,000 annual hours)<br />

Comparable salary in Comparable salary in<br />

Sacramento CA:<br />

Eugene OR:<br />

$10,951.24<br />

$9,668.15<br />

Comparable salary in<br />

Phoenix AZ:<br />

$9,085.91<br />

If you move from Honolulu HI to<br />

Fayetteville AR...<br />

Groceries will<br />

cost: 40.93% less<br />

Housing will<br />

cost: 68.10% less<br />

If you move from Honolulu HI to<br />

Sacramento CA...<br />

Groceries will<br />

cost: 20.74% less<br />

Housing will<br />

cost: 35.48% less<br />

If you move from Honolulu HI to<br />

Eugene OR...<br />

Groceries will<br />

cost: 39.14% less<br />

Housing will<br />

cost: 49.20% less<br />

If you move from Honolulu HI to<br />

Phoenix AZ...<br />

Groceries will<br />

cost: 36.02% less<br />

Housing will<br />

cost: 58.08% less<br />

Utilities will cost: 11.36% less Utilities will cost: 17.84% less Utilities will cost: 28.07% less Utilities will cost: 20.45% less<br />

Transportation<br />

will cost: 20.31% less<br />

Healthcare will<br />

cost: 14.65% less<br />

Transportation<br />

will cost: 10.48% less<br />

Healthcare will<br />

cost: 1.74% more<br />

Transportation<br />

will cost: 10.74% less<br />

Healthcare will<br />

cost: 2.53% more<br />

Transportation<br />

will cost: 12.87% less<br />

Healthcare will<br />

cost: 8.49% less<br />

Source: CNN Money website (www.cnnmoney.com)

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