The Republic of the Marshall Islands and other Island Areas A Comparative Analysis of Selected Demographic, Social & Economic Indicators May 2003.

Slides:



Advertisements
Similar presentations
Halftime Highlights Minnesota at Mid-Decade. Minnesota Ranks 1 st in home ownership 2 nd in labor force participation 3 rd highest in high school completion.
Advertisements

The North East Economy: A great place to invest. Overview of North East LEP Area.
Indianapolis-Carmel MSA
University as Entrepreneur A POPULATION IN THIRDS Arizona and National Data.
1 Raul E. Cisneros Chief, 2010 Census Publicity Office U.S. Census Bureau NGLC Media, Marketing & Entertainment Conference.
Economic Turbulence & Employment Trends Dr. Fragouli Evaggelia (HARVARD, COLUMBIA) Lecturer, University of Athens, Dpt. of Economics & Senior R&D Dpt.
Changing Demographics in Texas
Extreme Poverty, Poverty, and Near Poverty Rates for Children Under Age 5, by Living Arrangement: 2013 The data for Extreme Poverty, Poverty, and Near.
Measuring Economic Performance
Demographic Trends from the 2000 Census Presented by Janet Harrah, Director Center for Economic Development and Business Research Wichita State University.
Income and Education Statistics. People Quick Facts USA People Quick Facts USA Population, 2005 estimate 296,410,404 Female persons, percent, %
Texas Demographic Characteristics and Trends Texas Association of Mutual Insurance Companies October 7, 2010 Round Rock, TX 1.
How Does Ability to Speak English Affect Earnings?
Measuring GDP and Economic Growth
The Demographic Transition Model (DTM) Mr Elliott SSOT.
How we measure development WHAT FACTORS MIGHT WE CONSIDER WHEN COMPARING THE DEVELOPMENT OF COUNTRIES?
California Profile of Adult Learning Adults with No High School Diploma (%) Age Age Speak English Poorly or Not at All – Age 18 to 64 (%) High.
Colorado Profile of Adult Learning Adults with No High School Diploma (%) Age Age Speak English Poorly or Not at All – Age 18 to 64 (%) High.
The Gender Gap in Educational Attainment: Variation by Age, Race, Ethnicity, and Nativity in the United States Sarah R. Crissey, U.S. Census Bureau Nicole.
Demography and Aging. What is “demography”? Demography is the study of populations Counting and describing people Age, sex, income, marital status… Demographers.
CITY DEMOGRAPHIC ANALYSIS Understanding Your City’s Population | 2 mi | 2 mi | 200’
San Jose Demographic Findings and Trends, Census 2010 Michael Bills, Senior Planner City of San Jose March 16, 2012.
Demographic Profile. Population GrowthDiversityAgeHouseholdsEducationIncome.
The distribution of the State budget Total budget: 298 billion NIS, 2005 chart 1.
1 The distribution of the State budget 2006 Total budget: NIS 303 billion,
The Perfect Storm Community Service Council of Greater Tulsa - October 2007.
New York State’s Labor Force Drivers Presented by Kevin Jack, Statewide Labor Market Analyst August 2008.
 What is inflation? --a general upward movement in price of goods and services in an economy  What is deflation? --a general downward movement in.
Texas Demographics and Sustainability Texas State University November 17, 2010 San Marcos, TX 1.
Ohio Profile of Adult Learning Adults with No High School Diploma (%) Age Age Speak English Poorly or Not at All – Age 18 to 64 (%) High School.
Coastal Bend and State Population % Distribution by Age Groups % Fewer in Working Age Source: US Census.
Minnesota Demographic Change And Dentistry Tom Gillaspy, State Demographer Mn Dept of Administration March 2008.
1 The Regional Economic Outlook Rae D. Rosen Senior Economist and Assistant Vice - President Federal Reserve Bank of New York January 5, 2006.
2015 Labor Day Report: Annual Report on the State of Montana’s Economy Barbara Wagner Chief Economist Labor Arbitration Conference October 8, 2015 Fairmont,
Timebanking and Poverty: Creating Abundance in a Challenged Economy.
Alaska Profile of Adult Learning Adults with No High School Diploma (%) Age Age Speak English Poorly or Not at All – Age 18 to 64 (%) High.
Risk Management Association Long Island Economic Update What Lies Ahead? Dr. Martin R. Cantor, CPA Long Island Center for Socio-Economic Policy
PKSS Community Survey – Analysis and Conclusions Sep 11 th, 2009.
1 Diana Furchtgott-Roth Senior Fellow and Director of Center for Employment Policy, Hudson Institute March 21, 2006.
Homework Read chapter 11. Define the following terms. ◦ GDP ◦ Real GDP ◦ Nominal GDP ◦ GDP per capita ◦ GNP ◦ Intermediate goods ◦ What relationship exists.
Indiana Profile of Adult Learning Adults with No High School Diploma (%) Age Age Speak English Poorly or Not at All – Age 18 to 64 (%) High.
Texas Demographic Data Users Conference May 22, 2014 Austin, Texas.
U.S. Hispanic Population: 1999 Helping You Make Informed Decisions.
2015 Labor Day Report: Annual Report on the State of Montana’s Economy Barbara Wagner Chief Economist State Workforce Investment Board Meeting September.
Missouri Profile of Adult Learning Adults with No High School Diploma (%) Age Age Speak English Poorly or Not at All – Age 18 to 64 (%) High.
2015 Labor Day Report: Annual Report on the State of Montana’s Economy Barbara Wagner Chief Economist Labor Arbitration Conference October 8, 2015 Fairmont,
Economics and Statistics Administration U.S. CENSUS BUREAU U.S. Department of Commerce The Foreign-Born Population in New Mexico Size, Distribution, and.
Greene County Community Health Needs Assessment Sociodemographic Indicators.
Rensselaer County Community Health Needs Assessment Sociodemographic Indicators.
Presented by Harry M. Davis, Ph.D NCBA Professor of Banking and Economist Appalachian State University October 29, 2015.
Bangladesh Poverty Assessment: Building on Progress Poverty Trends and Profile Dhaka, October 23 rd 2002.
Native Demographic. Young Pop. More than one-third of Ontario’s native population is under age 15. Only 4% is older than 65 40% is between 20 and 44 years.
Community Foundation of Collier County Our Mission: To improve the quality of life in Collier County by connecting donors to community needs and providing.
Columbia County Community Health Needs Assessment Sociodemographic Indicators.
Kentucky Profile of Adult Learning Adults with No High School Diploma (%) Age Age Speak English Poorly or Not at All – Age 18 to 64 (%) High.
San Jose Demographic Findings and Trends, Census 2010 Michael Bills, Senior Planner City of San Jose.
Oklahoma Profile of Adult Learning Adults with No High School Diploma (%) Age Age Speak English Poorly or Not at All – Age 18 to 64 (%) High.
Understanding Your Community Part Two: Demographics.
Working for Change Forum If Not Now, then When? Congressional Opportunities to Address Our Nation’s Youth Unemployment Crisis May 21, 2010.
Central Minnesota Manufacturing: The Current and Future Workforce Luke Greiner Regional Labor Market Analyst Department of Employment and Economic Development.
Elizabeth M. Grieco Chief, Foreign-Born Population Branch
Demographics Who lives in the county and how is this changing?
Extreme Poverty, Poverty, and Near Poverty Rates for Children Under Age 5, by Living Arrangement: 2015 The data for Extreme Poverty, Poverty, and Near.
Census Data Trends CNMI Public School System
Extreme Poverty, Poverty, and
Extreme Poverty, Poverty, and
FIGURE 11.1 GDP and the Circular Flow
Extreme Poverty, Poverty, and
© EMC Publishing, LLC.
Extreme Poverty, Poverty, and
Presentation transcript:

The Republic of the Marshall Islands and other Island Areas A Comparative Analysis of Selected Demographic, Social & Economic Indicators May 2003

National development and progress can be measured in many ways. In order to help us better plan for, implement, and measure development, social scientists have created a wide range of demographic, economic, social and other types of national statistical indicators. These indicators can serve as useful tools in our analysis of development progress, living standards and the overall quality of life within and across countries and regions. In this short analysis, twenty-one selected statistical indicators for the RMI are presented and compared with those of the other Freely Associated States (Palau and FSM), the US Insular Areas (Guam, American Samoa, CNMI, US Virgin Islands), and the US (where applicable). By doing this type of comparative analysis, we may gain some insight and perspective into the effectiveness of RMI development initiatives as well as how the RMI and its citizens generally compare to these other areas and peoples. All data contained herein are drawn from periodic censuses and surveys and other statistical and administrative records. NOTE: where shown, all RMI 2000 data from 1999 census and 1990 data from 1988 census; 1995 FSM data from 1994 census.

The 21 selected indicators analyzed here are: 1. 1.Total Population 2. 2.Male to Female Sex Ratio 3. 3.Percentage of Population Under Age Percentage of Foreign Nationals 5. 5.Percentage of Population which Speaks English at Home 6. 6.Average Household Size (persons per household) 7. 7.Percentage of Households with Telephones 8. 8.Percentage of Households with Electricity 9. 9.Percentage of Households with Radio Percentage of Households with One or More Vehicles Percentage of Adults with High School Education or Higher Percentage of Adults with College Education (BA/BS) or Higher Gross Domestic Product Inflation Rate Civilian Labor Force Employed Population Unemployed Population Unemployment Rate Median Household Income Per Capita Income Infant Mortality Rate

As of its last Census of Population and Housing (in mid-1999), the RMI population stood at just under 51,000 This makes the RMI population the second smallest of the seven FAS and Insular Areas From 1980 to 1999, the RMI population increased by nearly 65 percent, the third highest rate The RMI population grew at a faster rate during this period than did the USVI, Guam, Palau, FSM and US populations

There were slightly more males than females in the RMI in 1999 The RMI sex ratio, 1.05, was close to Guam’s, American Samoa’s, and the FSM’s Females outnumbered males in the USVI, CNMI and US

Just over half of the RMI population was under the age of 18 in 1999 This surpasses the percentage in all other FAS and Insular Areas, as well as the US This means that percentage-wise, the RMI has more younger people than any of these other areas

The vast majority of people in the RMI were native citizens, comparable to the FSM Only two percent of the population were non-RMI citizens in 1999 This compares to 12 percent in USVI, 18 percent in Guam, nearly 57 percent in the CNMI, 35 percent in American Samoa and 31 percent in Palau

Nearly all families and households in the RMI communicated in the native language Less than half a percent of people over the age of 5 spoke English at home English was spoken far more commonly in the other FAS and Insular Areas

RMI households were more crowded than those in all other FAS and Insular Areas There were nearly 8 people on average per household in the RMI in 1999 All other areas, except for American Samoa and FSM, had on average fewer than 5 people per household

Close to 40 percent of RMI households had telephones in 1999 Only the FSM had a lower percentage of households with telephones, at 29 percent Meanwhile, the majority (greater than 60 percent) of households in all other areas had telephones

Nearly 70 percent of RMI households had electricity in 1999 Palau’s rate was far higher at 98 percent, but FSM’s was lower at about 54 percent

The vast majority of RMI households owned and used radios (nearly 86 percent) Only Palau surpassed this rate, at close to 90 percent More than three-fourths of households in the CNMI and American Samoa used radios, but less than half of FSM households used radios

One in five RMI households had a vehicle This was the lowest rate among the areas Guam had the highest rate, at 92 percent, surpassing the US rate of about 90 percent

Less than 40 percent of adults in the RMI (age 25 or older) completed high school as of 1999 This was the second lowest rate among the areas, only slightly higher than the FSM’s 37 percent All other areas had a high school education rate of 60 percent or higher

The RMI had the lowest percentage of adults with a college education (Bachelor level), at 2.7 percent The FSM rate was slightly higher at 3.6 percent and Palau’s rate was nearly four times the RMI’s, at 10 percent One in five adults in Guam had earned college degrees and nearly a quarter of adults in the US had earned degrees

Nominal GDP (unadjusted for inflation) for the RMI in 2001 was nearly $100 million RMI GDP was approximately 16 percent lower than Palau’s ($120.8 million) and less than half that of FSM ($230.1 million)

The inflation rate is a measure of the upward change in prices in an economy or area RMI price levels rose by less than three percent per year during the last four years of the 1994 to 2001 period, but surpassed four percent during the first four years The RMI average annual inflation rate during this eight year period was 4.45 percent, higher than both the FSM (2.28) and US (2.58) rates This suggests that the general cost of living in the RMI has appreciated faster than that of these other areas

The civilian labor force (excluding military personnel) is made up of the employed and unemployed populations The RMI civilian labor force grew from 11,488 to 14,677 between 1988 and 1999 This translates into a 28 percent increase, higher than all areas except for CNMI and Palau (FSM 1990 data not available)

Among the 14,677 people in the RMI labor force in 1999, 10,141 were employed This was just slightly higher than the 10,056 employed 11 years earlier, in 1988 Employment in the RMI, therefore, grew by just.8 percent during this period The RMI had, by far, the lowest growth in employment of all the areas during this period (FSM data for 1990 not available)

The RMI unemployed population more than tripled between 1988 and 1999, from 1,432 to 4,536 This is an increase of well over 200 percent Only Guam had a higher increase in the unemployed population, at percent Palau’s unemployed population, meanwhile, shrunk from 471 to 224 during the period

The RMI unemployment rate (unemployed population divided by labor force), stood at 31 percent in 1999 The RMI had the highest unemployment rate among all these areas

RMI median household income in 1999 was $6,840 (meaning half of all households earned more than this amount and half earned less) Median household income grew by 103 percent between 1980 and 1999 The RMI 1999 median household income was the second lowest of the areas

RMI per capita income (calculated by dividing the aggregate or total income of all households by the total population) in 1999 was $2,281 This was the lowest amount of all the areas Per capita income in Palau, FSM and American Samoa were all around $4,000 CNMI’s per capita income was four times greater than the RMI’s, USVI’s and Guam’s were more than five times greater, and the US’ was nearly ten times greater

The RMI infant mortality rate in 1999 was 37 While infant mortality in the RMI has decreased over the last several decades, it was still the highest among all these areas in 1999

SUMMARY The most notable findings of this comparative analysis are: Among the seven island areas compared here, the RMI had the second smallest population as of 1999, but its population growth rate between 1980 and 1999 was the third highest Among the seven island areas compared here, the RMI had the second smallest population as of 1999, but its population growth rate between 1980 and 1999 was the third highest The RMI had the highest percentage of young people (under 18) among the areas The RMI had the highest percentage of young people (under 18) among the areas The RMI had the second lowest percentage of foreign nationals The RMI had the second lowest percentage of foreign nationals English was far less commonly spoken in the RMI than in the other areas English was far less commonly spoken in the RMI than in the other areas The RMI had, by far, the most crowded households among the areas, with an average household size of nearly eight persons The RMI had, by far, the most crowded households among the areas, with an average household size of nearly eight persons A lower percentage of RMI households owned telephones and vehicles, but more households used radios in the RMI than in the other areas A lower percentage of RMI households owned telephones and vehicles, but more households used radios in the RMI than in the other areas RMI adults had the second lowest high school completion rate and the lowest college completion rate (Bachelor level) among all the areas RMI adults had the second lowest high school completion rate and the lowest college completion rate (Bachelor level) among all the areas The RMI had higher inflation during most of the 1990s than did the FSM or the US The RMI had higher inflation during most of the 1990s than did the FSM or the US The RMI had the third fastest growing labor force between 1980 and 1999, but had the lowest growth in employment The RMI had the third fastest growing labor force between 1980 and 1999, but had the lowest growth in employment As a result, the RMI had the highest unemployment rate among all the areas As a result, the RMI had the highest unemployment rate among all the areas The RMI had the second lowest median household income and the lowest per capita income The RMI had the second lowest median household income and the lowest per capita income The RMI had the highest infant mortality rate among the areas The RMI had the highest infant mortality rate among the areas