Population Age, Sex, and Race Language Employment Households, Income, and Poverty. Date last updated: Refresh cycle:
|
|
|
- Hugo Lawrence Bennett
- 5 years ago
- Views:
Transcription
1 Demographics Section
2
3 Demographics Date last updated: Refresh cycle: Demographics are the statistical data of a population. Age, income, education, sex and race are all examples of demographic characteristics. This information can be used for health service planning and to help understand the health status of a population. It is also important to look at health outcomes, risk factors and resources by demographic characteristics to determine if there are disparities (differences) among groups in the population. Population Age, Sex, and Race Language Employment Households, Income, and Poverty Section - 3
4 Population Population is the number of individuals in a geographic area or a with a particular characteristic at a given time. The study of populations, their size, growth, density, distribution, and vital statistics, can provide valuable clues on its vitality and probability for future success. In light of this, the subsequent pages of this section will detail the characteristics of the population of Ingham County, Michigan. Ingham County was established in 1829 and includes ive unincorporated areas, three villages, ive cities, and sixteen townships. Its largest city is Lansing (the state capital), but the county seat is in Mason. According to 2015 U.S. Census estimates, 286,085 people live in Ingham County. This makes it the state s seventh most populous county. Figure 1. Municipality Population Proportion in Ingham County, American Community Survey 5-Year Estimates Figure 2. Municipality Population Proportion in Ingham County, American Community Survey 5-Year Estimates Demographics -
5 Population Map 1. Number of residents by municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 5
6 Personal Characteristics > Sex & Age The number of people and their age, sex, and race and ethnicity are the simplest demographic characteristics that we collect, however its simplicity ought not to be taken for granted. A variety of policy and programming decisions (i.e. are new schools needed and where should they be located; or do disparities exist in service delivery among certain population group) rely on this information In the age category we will report on some relatively unfamiliar statistics: age dependency ratio; child dependency ratio; and old age dependency ratio. These ratios are used to determine whether a population has too many non-productive persons (i.e., young and/or old) relative to the working-age population (18-64 years old), The higher this ratio, the greater the burden of support on working people in speci ic geographic areas. Figure 3. Sex proportions in Ingham County and Michigan, American Community Survey 5-Year Estimates Figure 5. Age Ratios in Ingham County and Michigan, American Community Survey 5-Year Estimates Figure 4. Age groups in Ingham County and Michigan, American Community Survey 5-Year Estimates Demographics - 6
7 Personal Characteristics > Age Figure 6. Age Ratios in Ingham County and Michigan, American Community Survey 5-Year Estimates Figure 7. Municipality Population Proportion in Ingham County, American Community Survey 5-Year Estimates Demographics - 7
8 Personal Characteristics > Age Map 2. Percentage of residents 18 years old or older by municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 8
9 Personal Characteristics > Age Map 3. Percentage of residents 65 years old or older by municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 9
10 Personal Characteristics > Race/Ethnicity Figure 8. Race/Ethnicity in Ingham County and Michigan, American Community Survey 5-Year Estimates Figure 9. Race/ethnicity by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 10
11 Education > School Enrollment One of the most important characteristic that affects an individual's prosperity in life is education. This section discusses two types of educational statistics: school enrollment and educational attainment. School enrollments statistics are used to analyze the demographic, social and economic characteristics and needs of school-age children and to understand the continuing education needs of adults. The population for school enrollment is individuals above the age of three years old. Educational attainment refers to the highest level of education that an individual has completed. This is distinct from the level of schooling that an individual is attending. Education attainment statistics are provided for the adult population 25 years old or older. Figure 10. School enrollment in Ingham County and Michigan, American Community Survey 5-Year Estimates Figure 11. Proportion of students in Public and Private Schools in Ingham County, American Community Survey 5-Year Estimates Figure 12. Level of Educational Achievement among Adults* by Age Group in Ingham County and Michigan, American Community Survey 5-Year Estimates Figure 13. Level of Educational Achievement among Adults* by Race/ethnicity in Ingham County and Michigan, American Community Survey 5-Year Estimates Demographics - 11
12 Education > Educational Attainment Figure 14. Median Earning by Level of Educational Achievement among Adults* in Ingham County, American Community Survey 5-Year Estimates Figure 15. Education Attainment of HS Diploma or higher by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 12
13 Education > Educational Attainment Figure 17. Education Attainment of Bachelor Degree or higher by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 13
14 Education > Educational Attainment Map 4. Educational Attainment of HS Diploma or higher by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 14
15 Education > Educational Attainment Map 5. Educational Attainment of Bachelor Degree or higher by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 15
16 Language The ability of an individual to navigate through society; contribute to that society; and obtain what they need to live is strongly associated with their ability to communicate. In a variety of services, especially social services, there are many examples of language being a barrier to an individual obtaining care in a timely manner Consequently, the prevalence of non-english speakers or foreign-born persons who may be functional, but not pro icient in English is an important piece of information for public policy. Figure 18. Language spoken at home among residents* in Ingham County and Michigan, American Community Survey 5-Year Estimates Figure 19. Language spoken at home by Age Group among residents* in Ingham County, American Community Survey 5-Year Estimates Figure 20. Language spoken at home by Natality among residents* in Ingham County, American Community Survey 5-Year Estimates Figure 21. Language spoken at home by household poverty level among residents* in Ingham County, American Community Survey 5-Year Estimates Demographics - 16
17 Language Figure 22. Language spoken at home by Educational Attainment among residents* in Ingham County, American Community Survey 5-Year Estimates Figure 23. Language Spoken at home by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 17
18 Language Map 6. Language Other than English spoken at home by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 18
19 Employment The inancial assets and the resources they fund are generated, by most individuals in the county, through employment. Consequently, employment statistics are useful statistics to evaluate a population s ability to acquire the resources necessary for daily life. The American Community Survey uses several speci ic calculations to discuss employment (i.e. unemployment rate and labor force participation rate). The labor force participation rate represents the proportion of the population that is in the labor force (people who are either employed or looking for work. The labor force does not include most students, homemakers, retired workers, and seasonal workers in an off season who were not looking for work). The unemployment rate represents the number of unemployed people as a percentage of the civilian labor force. The unemployment rate does not include discouraged workers who are de ined as individuals who would like to work but have given up looking for work. The unemployment rate also does not include the underemployed which refers to individuals who are working part-time but would like to be employed full-time. Figure 24. Employment statistics among residents* in Ingham County and Michigan, American Community Survey 5-Year Estimates Figure 25. Labor Force Participation and Unemployment Rates by Age Group among residents* in Ingham County and Michigan, American Community Survey 5- Year Estimates Demographics - 19
20 Employment Figure 26. Labor Force Participation and Unemployment Rates by Age Group among residents* in Ingham County, American Community Survey 5-Year Estimates Figure 27. Labor Force Participation and Unemployment Rates by Age Group among residents* in Ingham County, American Community Survey 5-Year Estimates Demographics - 20
21 Employment Figure 28. Labor Force Participation Rate by Municipality in Ingham County, American Community Survey 5-Year Estimates Figure 29. Unemployment Rate by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 21
22 Employment Map 7. Labor Force Participation Rate by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 22
23 Employment Map 8. Unemployment Rate by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 23
24 Households, Income, & Poverty A household is one or more individuals living in the same housing unit. There are a variety of households in Michigan and Ingham County. Most households consist of families, but some are non-family (with a single person or a group). Households can be stable or at risk of deprivation. The main indicator we use to evaluate household deprivation is the annual income of that household. Typically, the larger the income, the less likely that household is at risk of deprivation. Evaluating household deprivation based on income alone, is an acceptable, but imperfect measure. A better measure, although it itself is limited, is the federal poverty level (FPL). The Census Bureau uses a set of income thresholds that vary by family size and composition to determine who is in poverty. If the total income for a family or unrelated individual falls below the relevant poverty threshold, then the family (and every individual in it) or unrelated individual is considered in poverty. The of icial poverty level is so understated that many government and nonpro it agencies use multiples of the FPL to determine eligibility for assistance programs (i.e. 138% of FLP 200%FPL). Another, more robust measure is the ALICE measure. ALICE is an acronym for Asset-Limited Income Constrained and Employed. It represents the minimum income level necessary for survival for a household. The Household Survival Budget is a minimal estimate of the total cost of ive household essentials housing, child care, food, transportation, and health care, plus taxes and a 10 percent contingency. When combined, both the prevalence of ALICE households and those that are below the FPL results in a more accurate measure of households that struggle inancially. Figure 30. Household types in Ingham County and Michigan, American Community Survey 5-Year Estimates Figure 31. Household type by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 24
25 Households, Income, & Poverty > Households Figure 32. Median Household Income by Municipality in Ingham County, American Community Survey 5-Year Estimates Figure 33. Percent of Residents below Federal Poverty Level by Race Ethnicity in Ingham County and Michigan, American Community Survey 5-Year Esti- Demographics - 25
26 Households, Income, & Poverty > Poverty Figure 34. Percent of Residents below Federal Poverty Level by Educational Attainment* in Ingham County and Michigan, American Community Survey 5-Year Estimates Figure 36. Percent of Residents below Federal Poverty Level by Municipality in Ingham County, American Community Survey 5-Year Estimates Figure 35. Percent of Residents below Federal Poverty Level by Employment Status* in Ingham County and Michigan, American Community Survey 5-Year Estimates Demographics - 26
27 Households, Income, & Poverty > Poverty Map 9. Percent of Residents below Federal Poverty Level by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 27
28 Households, Income, & Poverty > Poverty Map 10. Percent of Residents under 18 years old below Federal Poverty Level by Municipality in Ingham County, American Community Survey 5-Year Estimates Demographics - 28
29 Households, Income, & Poverty > ALICE Figure 37. Percent of ALICE Households* in Ingham County and Michigan, 2012 Figure 36. Percent of Struggling households* by Municipality in Ingham County, 2012 Figure 38. monthly household survival budget for single adults and families in Ingham County and Michigan, 2012 *Struggling households =ALICE Households + Household with an Income below the federal poverty level Demographics - 29
30
What does your Community look like and how is it changing?
What does your Community look like and how is it changing? Trends in the State population related to health and health determinants and where you can find this data to support your local work Who is Likely
MEMORANDUM. Gloria Macdonald, Jennifer Benedict Nevada Division of Health Care Financing and Policy (DHCFP)
MEMORANDUM To: From: Re: Gloria Macdonald, Jennifer Benedict Nevada Division of Health Care Financing and Policy (DHCFP) Bob Carey, Public Consulting Group (PCG) An Overview of the in the State of Nevada
Women in the Labor Force: A Databook
Cornell University ILR School DigitalCommons@ILR Federal Publications Key Workplace Documents 9-2007 Women in the Labor Force: A Databook Bureau of Labor Statistics Follow this and additional works at:
Community Needs Assessment Update. NEMCSA Early Childhood Services Prepared by: Kristen Walcheski Program Operations Manager 10/13/17
Community Needs Assessment Update NEMCSA Early Childhood Services Prepared by: Kristen Walcheski Program Operations Manager 10/13/17 Page 1 of 26 Report Area Alcona; Alpena; Arenac; Bay; Cheboygan; Clare;
Community Needs Assessment Update. NEMCSA Early Childhood Services Prepared by: Kristen Walcheski Director of Program Operations 10/21/18
Community Needs Assessment Update NEMCSA Early Childhood Services Prepared by: Kristen Walcheski Director of Program Operations 10/21/18 Contents Report Area... 2 Demographics... 2 Population... 2 Total
Lake County. Government Finance Study. Supplemental Material by Geography. Prepared by the Indiana Business Research Center
County Government Finance Study Supplemental Material by Geography Prepared by the Indiana Business Research www.ibrc.indiana.edu for Sustainable Regional Vitality www.iun.edu/~csrv/index.shtml west Indiana
UNEMPLOYMENT RATES IMPROVING IN THE DISTRICT By Caitlin Biegler
An Affiliate of the Center on Budget and Policy Priorities 820 First Street NE, Suite 460 Washington, DC 20002 (202) 408-1080 Fax (202) 408-8173 www.dcfpi.org UNEMPLOYMENT RATES IMPROVING IN THE DISTRICT
Poverty in the United Way Service Area
Poverty in the United Way Service Area Year 4 Update - 2014 The Institute for Urban Policy Research At The University of Texas at Dallas Poverty in the United Way Service Area Year 4 Update - 2014 Introduction
Lake County. Government Finance Study. Supplemental Material by Geography. Prepared by the Indiana Business Research Center
County Government Finance Study Supplemental Material by Geography Prepared by the Indiana Business Research www.ibrc.indiana.edu for Sustainable Regional Vitality www.iun.edu/~csrv/index.shtml west Indiana
Independence, MO Data Profile 2015
, MO Data Profile 2015 5 year American Community Survey (ACS) Jackson County, Missouri Data sources: U.S. Census Bureau, American Community Survey (ACS), 2011 2015 (released December 8, 2016), compared
http://www.tennessee.gov/tacir/_profile/hardin_profile.htm Page 1 of 13 I. Geography & Demographics VI. Government Finance II. Income & Poverty VII. Public Infrastructure Needs Inventory III. Health &
Women in the Labor Force: A Databook
Cornell University ILR School DigitalCommons@ILR Federal Publications Key Workplace Documents 2-2013 Women in the Labor Force: A Databook Bureau of Labor Statistics Follow this and additional works at:
Women in the Labor Force: A Databook
Cornell University ILR School DigitalCommons@ILR Federal Publications Key Workplace Documents 12-2011 Women in the Labor Force: A Databook Bureau of Labor Statistics Follow this and additional works at:
Economic Profile. Capital Crossroads. a vision forward
Economic Profile Capital a vision forward This profile was prepared by: Liesl Eathington Department of Economics State University phone: (515) 294 2954 email: leathing@iastate.edu 5/23/2012 Distribution
Women in the Labor Force: A Databook
Cornell University ILR School DigitalCommons@ILR Federal Publications Key Workplace Documents 12-2010 Women in the Labor Force: A Databook Bureau of Labor Statistics Follow this and additional works at:
Trend Analysis of Changes to Population and Income in Philadelphia, using American Community Survey (ACS) Data
OFFICE OF THE PRESIDENT FINANCE AND BUDGET TEAM City Council of Philadelphia 9.22.17 Trend Analysis of Changes to Population and Income in Philadelphia, using 2010-2016 American Community Survey (ACS)
Urban Action Agenda Community Profiles COVER TO GO HERE. City of Beacon
Urban Action Agenda Community Profiles COVER TO GO HERE City of Beacon COMMUNITY OVERVIEW MAP POPULATION & DEMOGRAPHICS Population Basics 2,212 Population (2015) Population Change 2. since 2000 0.5 Square
Commission District 4 Census Data Aggregation
Commission District 4 Census Data Aggregation 2011-2015 American Community Survey Data, U.S. Census Bureau Table 1 (page 2) Table 2 (page 2) Table 3 (page 3) Table 4 (page 4) Table 5 (page 4) Table 6 (page
Northwest Census Data Aggregation
Northwest Census Data Aggregation 2011-2015 American Community Survey Data, U.S. Census Bureau Table 1 (page 2) Table 2 (page 2) Table 3 (page 3) Table 4 (page 4) Table 5 (page 4) Table 6 (page 5) Table
Riverview Census Data Aggregation
Riverview Census Data Aggregation 2011-2015 American Community Survey Data, U.S. Census Bureau Table 1 (page 2) Table 2 (page 2) Table 3 (page 3) Table 4 (page 4) Table 5 (page 4) Table 6 (page 5) Table
Zipe Code Census Data Aggregation
Zipe Code 66101 Census Data Aggregation 2011-2015 American Community Survey Data, U.S. Census Bureau Table 1 (page 2) Table 2 (page 2) Table 3 (page 3) Table 4 (page 4) Table 5 (page 4) Table 6 (page 5)
Zipe Code Census Data Aggregation
Zipe Code 66103 Census Data Aggregation 2011-2015 American Community Survey Data, U.S. Census Bureau Table 1 (page 2) Table 2 (page 2) Table 3 (page 3) Table 4 (page 4) Table 5 (page 4) Table 6 (page 5)
In Baltimore City today, 20% of households live in poverty, but more than half of the
Building Economic Opportunity in Baltimore: A Data Profile Baltimore Highlights In Baltimore City today, 20% of households live in poverty, but more than half of the city s population 55% is financially
The Health of Jefferson County: 2010 Demographic Update
The Health of : 2010 Demographic Update BACKGROUND How people live the sociodemographic context of their lives influences their health. People who have lower incomes may not have the resources to meet
TENNESSEE S UNINSURED IN 2017
DATA REPORT September 27, 2018 TENNESSEE S UNINSURED IN 2017 The U.S. Census Bureau released new data this month on health insurance coverage across the U.S. in 2017. Here are our top 3 takeaways for Tennessee.
TABLE 1. PROFILE OF GENERAL DEMOGRAPHIC CHARACTERISTICS
Waterloo city, Iowa TABLE 1. PROFILE OF GENERAL DEMOGRAPHIC CHARACTERISTICS Estimate Lower Bound Upper Bound Total population 66,659 64,093 69,225 SEX AND AGE Male 32,096 30,415 33,777 Female 34,563 33,025
University of Minnesota
neighborhood profile October 2011 About this area The University neighborhood is bordered by 11th Avenue Southeast, University Avenue, 15th Avenue Southeast, the railroad tracks, Oak Street, and the Mississippi
Mid - City Industrial
Minneapolis neighborhood profile October 2011 Mid - City Industrial About this area The Mid-City Industrial neighborhood is bordered by I- 35W, Highway 280, East Hennepin Avenue, and Winter Street Northeast.
Southwest Michigan Prosperity Region Region 8: Thoughts from an interested outsider
Southwest Michigan Prosperity Region Region 8: Thoughts from an interested outsider George A. Erickcek W.E. Upjohn Institute for Employment Research September 24, 2014 So what is behind the Regional Prosperity
Camden Industrial. Minneapolis neighborhood profile. About this area. Trends in the area. Neighborhood in Minneapolis.
Minneapolis neighborhood profile October 2011 Camden Industrial About this area The Camden Industrial neighborhood is bordered by 48th Avenue North, the Mississippi River, Dowling Avenue North, Washington
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 602894 Central Cities (CC) 227,818 Outside Central Cities 375,076 Percent of Entire MSA 37.79% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1187941 Central Cities (CC) 511,843 Outside Central Cities 676,098 Percent of Entire MSA 43.09% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 661645 Central Cities (CC) 247,057 Outside Central Cities 414,588 Percent of Entire MSA 37.34% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 583845 Central Cities (CC) 316,649 Outside Central Cities 267,196 Percent of Entire MSA 54.24% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1251509 Central Cities (CC) 540,423 Outside Central Cities 711,086 Percent of Entire MSA 43.18% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1135614 Central Cities (CC) 677,766 Outside Central Cities 457,848 Percent of Entire MSA 59.68% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 591932 Central Cities (CC) 260,970 Outside Central Cities 330,962 Percent of Entire MSA 44.09% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1100491 Central Cities (CC) 735,617 Outside Central Cities 364,874 Percent of Entire MSA 66.84% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 540258 Central Cities (CC) 198,915 Outside Central Cities 341,343 Percent of Entire MSA 36.82% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1249763 Central Cities (CC) 691,295 Outside Central Cities 558,468 Percent of Entire MSA 55.31% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1088514 Central Cities (CC) 272,953 Outside Central Cities 815,561 Percent of Entire MSA 25.08% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 922516 Central Cities (CC) 470,859 Outside Central Cities 451,657 Percent of Entire MSA 51.04% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 687249 Central Cities (CC) 198,500 Outside Central Cities 488,749 Percent of Entire MSA 28.88% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 542149 Central Cities (CC) 181870 Outside Central Cities 360279 Percent of Entire MSA 33.55% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1025598 Central Cities (CC) 293,834 Outside Central Cities 731,764 Percent of Entire MSA 28.65% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 875583 Central Cities (CC) 232,835 Outside Central Cities 642,748 Percent of Entire MSA 26.59% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 716998 Central Cities (CC) 448,275 Outside Central Cities 268,723 Percent of Entire MSA 62.52% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1333914 Central Cities (CC) 284,943 Outside Central Cities 1,048,971 Percent of Entire MSA 21.36% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 712738 Central Cities (CC) 448,607 Outside Central Cities 264,131 Percent of Entire MSA 62.94% Population in CC Percent Change in Population from 1999
Social and Economic Determinants of Household Food Insecurity in the United States and Canada
Social and Economic Determinants of Household Food Insecurity in the United States and Canada Mark Nord Economic Research Service, USDA 5 th McGill Conference on Global Food Security Montreal, October
Shingle Creek. Minneapolis neighborhood profile. About this area. Trends in the area. Neighborhood in Minneapolis. October 2011
neighborhood profile October 2011 About this area The neighborhood is bordered by 53rd Avenue North, Humboldt Avenue North, 49th Avenue North, and Xerxes Avenue North. It is home to Olson Middle School.
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean. Population Entire MSA
Family: Population Demographics Population Entire MSA 1169641 Central Cities (CC) 0 Outside Central Cities 1,169,641 Percent of Entire MSA 0% Population in CC Percent Change in Population from 1999 to
35% 26% 57% 51% PROFILE. CIty of durham: Assets & opportunity ProfILe. key highlights. ABoUt the ProfILe ASSETS & OPPORTUNITY
CIty of durham: Assets & opportunity ProfILe ASSETS & OPPORTUNITY PROFILE key highlights 35% of Durham County households live in asset poverty Cities have long been thought of as places of opportunity
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 3251876 Central Cities (CC) 2,078,750 Outside Central Cities 1,173,126 Percent of Entire MSA 63.92% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1592383 Central Cities (CC) 1,181,140 Outside Central Cities 411,243 Percent of Entire MSA 74.17% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1776062 Central Cities (CC) 716,793 Outside Central Cities 1,059,269 Percent of Entire MSA 40.36% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 4112198 Central Cities (CC) 416,474 Outside Central Cities 3,695,724 Percent of Entire MSA 10.13% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 9519338 Central Cities (CC) 4408996 Outside Central Cities 5110342 Percent of Entire MSA 46.32% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1623018 Central Cities (CC) 152397 Outside Central Cities 1470621 Percent of Entire MSA 9.39% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1731183 Central Cities (CC) 776733 Outside Central Cities 954450 Percent of Entire MSA 44.87% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 2968806 Central Cities (CC) 669,769 Outside Central Cities 2,299,037 Percent of Entire MSA 22.56% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 2846289 Central Cities (CC) 809063 Outside Central Cities 2037226 Percent of Entire MSA 28.43% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 4441551 Central Cities (CC) 1147720 Outside Central Cities 3293831 Percent of Entire MSA 25.84% Population in CC Percent Change in Population from
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 1500741 Central Cities (CC) 661799 Outside Central Cities 838942 Percent of Entire MSA 44.1% Population in CC Percent Change in Population from 1999
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 2552994 Central Cities (CC) 686992 Outside Central Cities 1866002 Percent of Entire MSA 26.91% Population in CC Percent Change in Population from 1999
The Uninsured in Texas
H E A L T H P O L I C Y C E N T E R Funded by The Uninsured in Texas Statewide and Local Area Views Matthew Buettgens, Linda J. Blumberg, and Clare Pan December 2018 The number of insured people in the
Katahdin Region Socioeconomic Indicators Katahdin Region
Katahdin Region Socioeconomic Indicators Town of Medway Katahdin Region Socioeconomic Indicators Katahdin Region Report by Senator George J. Mitchell Center for Sustainability Solutions University of Maine
Unemployment in Boston
Unemployment in Boston Boston Redevelopment Authority Research Division September 2014 This report uses a variety of data sources from the U.S. Census Bureau, including the 2008-2012 and 2012 American
SDs from Regional Peer Group Mean. SDs from Size Peer Group Mean
Family: Population Demographics Population Entire MSA 2414616 Central Cities (CC) 764431 Outside Central Cities 1650185 Percent of Entire MSA 31.66% Population in CC Percent Change in Population from 1999
New Jersey Counties by Region
New Jersey Counties by Region 2 Summary Almost 25% of all revenue received by local governments in New Jersey comes from state funding assistance. Much of this assistance serves to lower household property
NORTH CAROLINA FAMILY ECONOMIC SECURITY PROFILE
NORTH CAROLINA FAMILY ECONOMIC SECURITY PROFILE State policies that promote the economic security of our nation s families can help offset larger economic and social conditions that make it difficult for
Colorado s Eligible but Not Enrolled Population Continues to Decline Another Drop During Second Year of ACA
Colorado s but Not Enrolled Population Continues to Decline Another Drop During Second Year of ACA APRIL 2017 The number of uninsured Coloradans who did not enroll in Medicaid or Child Health Plan Plus
A Profile of the Working Poor, 2001
Cornell University ILR School DigitalCommons@ILR Federal Publications Key Workplace Documents 6-2003 A Profile of the Working Poor, 2001 Abraham Mosisa Bureau of Labor Statistics Follow this and additional
Fact Sheet. Health Insurance Coverage in Minnesota, 2001 vs February Changes in Health Insurance Coverage and Uninsurance
Fact Sheet February 2006 Health Insurance Coverage in Minnesota, 2001 vs. 2004 This fact sheet provides a summary of final estimates of health insurance coverage gathered from the 2001 and 2004 Minnesota
Clay County Comprehensive Plan
2011-2021 Clay County Comprehensive Plan Chapter 1: Demographic Overview Clay County Comprehensive Plan Demographic Overview Population Trends This section examines historic and current population trends
Health Insurance Coverage in the District of Columbia
Health Insurance Coverage in the District of Columbia Estimates from the 2009 DC Health Insurance Survey The Urban Institute April 2010 Julie Hudman, PhD Director Department of Health Care Finance Linda
27% 42% 51% 16% 51% 19% PROFILE. Assets & opportunity ProfILe: PortLANd. key highlights. ABoUt the ProfILe ASSETS & OPPORTUNITY
Assets & opportunity ProfILe: PortLANd ASSETS & OPPORTUNITY PROFILE key highlights 27% of Portland households live in asset poverty Cities have long been thought of as places of opportunity for low-income
Tyler Area Economic Overview
Tyler Area Economic Overview Demographic Profile. 2 Unemployment Rate. 4 Wage Trends. 4 Cost of Living Index...... 5 Industry Clusters. 5 Occupation Snapshot. 6 Education Levels 7 Gross Domestic Product
Wyoming Economic and
Wyoming Economic and Demographic Data Tools for your Toolbox Presented to: Wyoming Association of Municipal i Clerks and Treasurers (WAMCAT) 2011 Region VIII & WAMCAT Winter Workshop Jackson, Wyoming January
LAKE FOREST NEIGHBORHOOD PROFILE
LAKE FOREST NEIGHBORHOOD PROFILE July 2017 Prepared in Partnership Between the Kentucky State Data Center at the University of Louisville and Metro United Way This data profile uses 2010 census tract boundaries
Small Area Health Insurance Estimates from the Census Bureau: 2008 and 2009
October 2011 Small Area Health Insurance Estimates from the Census Bureau: 2008 and 2009 Introduction The U.S. Census Bureau s Small Area Health Insurance Estimates (SAHIE) program produces model based
Poverty and Food Needs: Carroll County, Iowa
Poverty and Food Needs Iowa Community Indicators Program 9-1-2014 Poverty and Food Needs:, Iowa Liesl Eathington Iowa State University, leathing@iastate.edu Follow this and additional works at: http://lib.dr.iastate.edu/icip_poverty
A Profile of the Working Poor, 2011
Cornell University ILR School DigitalCommons@ILR Federal Publications Key Workplace Documents 4-2013 A Profile of the Working Poor, 2011 Bureau of Labor Statistics Follow this and additional works at:
MetroWest Health Foundation Trends and Projections
MetroWest Health Foundation Trends and Projections Seleeke Flingai, PhD, MPA Research Analyst II Metropolitan Area Planning Council November 16, 2018 DRAFT Natick, MA Photo credit: Natick Department of
Black Employm ent an d Unemploymen t March Page 1
April 5, 2013 DATA BRIEF: Black Employment and Unemployment in March 2013 The unemployment rate for Blacks was 13.3% last month. This is according to the latest report on the nation s employment situation
Urban Action Agenda Community Profiles COVER TO GO HERE. City of Beacon
Urban Action Agenda Community Profiles COVER TO GO HERE City of Beacon COMMUNITY OVERVIEW MAP POPULATION & DEMOGRAPHICS Population Basics 27,828 Population (2015) Population Change 9.6% since 2000 5.1
Rifle city Demographic and Economic Profile
Rifle city Demographic and Economic Profile Community Quick Facts Population (2014) 9,289 Population Change 2010 to 2014 156 Place Median HH Income (ACS 10-14) $52,539 State Median HH Income (ACS 10-14)
ESPRI Hempstead- needs assessment survey
ESPRI Hempstead- needs assessment survey February 14, 2018 ESPRI HEMPSTEAD- NEEDS ASSESSMENT SURVEY - FEBRUARY 14, 2018 1 Contents I. Introduction.....2 II. Executive Summary... 3 III. Methodology... 4
Unemployment Rate - Ottumwa, IA
- Ottumwa, IA Report Area Ottumwa, IA Social & Economic Factors Economic and social insecurity often are associated with poor health. Poverty, unemployment, and lack of educational achievement affect access
Income and Poverty Among Older Americans in 2008
Income and Poverty Among Older Americans in 2008 Patrick Purcell Specialist in Income Security October 2, 2009 Congressional Research Service CRS Report for Congress Prepared for Members and Committees
Program on Retirement Policy Number 1, February 2011
URBAN INSTITUTE Retirement Security Data Brief Program on Retirement Policy Number 1, February 2011 Poverty among Older Americans, 2009 Philip Issa and Sheila R. Zedlewski About one in three Americans
Black Employm ent an d Unemploymen t March Page 1
April 6, 2012 DATA BRIEF: Black Employment and Unemployment in March 2012 The unemployment rate for Blacks was 14.0% last month. This is according to the latest report on the nation s employment situation
Economic Overview Monterey County, California. July 22, 2016
Economic Overview Monterey July 22, 2016 DEMOGRAPHIC PROFILE... 3 EMPLOYMENT TRENDS... 5 UNEMPLOYMENT RATE... 5 WAGE TRENDS... 6 COST OF LIVING INDEX... 6 INDUSTRY SNAPSHOT... 7 OCCUPATION SNAPSHOT...
Economic Overview Long Island
Report created on August 29, 2017 Economic Overview Long Island Contact: Lisa.Montiel@suny.edu DEMOGRAPHIC PROFILE... 3 EMPLOYMENT TRENDS... 5 UNEMPLOYMENT RATE... 5 WAGE TRENDS... 6 COST OF LIVING INDEX...
Economic Overview Loudoun County, Virginia. October 23, 2017
Economic Overview October 23, 2017 DEMOGRAPHIC PROFILE... 3 EMPLOYMENT TRENDS... 5 UNEMPLOYMENT RATE... 5 WAGE TRENDS... 6 COST OF LIVING INDEX... 6 INDUSTRY SNAPSHOT... 7 OCCUPATION SNAPSHOT... 9 INDUSTRY
DEMOGRAPHIC PROFILE...3 EMPLOYMENT TRENDS...5 UNEMPLOYMENT RATE...5 WAGE TRENDS...6 COST OF LIVING INDEX...6 INDUSTRY SNAPSHOT...7
March 14, 2017 DEMOGRAPHIC PROFILE...3 EMPLOYMENT TRENDS...5 UNEMPLOYMENT RATE...5 WAGE TRENDS...6 COST OF LIVING INDEX...6 INDUSTRY SNAPSHOT...7 OCCUPATION SNAPSHOT...9 INDUSTRY CLUSTERS... 12 EDUCATION
Central West Ontario Social and Economic Inclusion Project. Brant County Profile. Prepared by:
Central West Ontario Social and Economic Inclusion Project Brant County Profile Prepared by: December, 2003 1.0 Introduction to Brant County Brant County is located between Hamilton to the east and London
Gallatin County. Montana Poverty Report Card
1 County Poverty Report Card June 216 Summary The poverty rate for County increased from 13.% in 21 to 14.% in 213. For the month of December in 211 and 214, the county s unemployment rate decreased from
Missoula County. Montana Poverty Report Card
1 County Poverty Report Card June 216 Summary The poverty rate for County decreased from 17.3% in 21 to 16.% in 213. For the month of December in 211 and 214, the county s unemployment rate decreased from
STATE OF WORKING ARIZONA
Fall, 2008 STATE OF WORKING ARIZONA Public Policy Helps Arizona Families Move Ahead with Education, Child Care and Health Care In 2008, the mortgage crisis toppled Arizona s housing market, dramatically