Small-Area Income and Poverty Estimates Priorities for 2000 and Beyond by Panel on Estimates of Poverty for Small Geographic Area

Cover of: Small-Area Income and Poverty Estimates | Panel on Estimates of Poverty for Small Geographic Area

Published by National Academies Press .

Written in English

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Subjects:

  • Central government policies,
  • Macroeconomics,
  • Population & demography,
  • Welfare & benefit systems,
  • Social Policy,
  • Social Science,
  • Sociology,
  • Business/Economics,
  • USA,
  • Economics - General,
  • General,
  • Business & Economics / Labor,
  • Poverty,
  • Public Affairs & Administration,
  • 1981-2001,
  • Economic conditions,
  • Income,
  • Regional disparities,
  • Statistical methods,
  • United States

Edition Notes

Book details

ContributionsConstance F. Citro (Editor), Graham Kalton (Editor)
The Physical Object
FormatPaperback
Number of Pages224
ID Numbers
Open LibraryOL10358319M
ISBN 100309071461
ISBN 109780309071468

Download Small-Area Income and Poverty Estimates

Recent trends in federal policies for social and economic programs have increased the demand for timely, accurate estimates of income and poverty for states, counties, and even smaller areas. Every year more than $ billion in federal funds is allocated to states and localities through formulas that use such estimates.

Recent trends in federal policies for social and economic programs have increased the demand for timely, accurate estimates of Small-Area Income and Poverty Estimates book and poverty for states, counties, and even smaller areas. Every year more than $ billion in federal funds Pages: Small-Area Income and Poverty Estimates Priorities for and Beyond () Buy Now: $ Download Free PDF Read Online.

Embed. Embed This Book. Copy the HTML code below to embed this book in your own blog, website, or application. Tip: press Ctrl-C or ⌘-C to copy. Small-Area Income and Poverty Estimates book. Small Area Income and Poverty Estimates (SAIPE) Program.

The U.S. Census Bureau’s Small Area Income and Poverty Estimates program produces single-year estimates of income and poverty for all U.S. states and counties as well as estimates of school-age children in poverty for + school districts. Read More. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping.

This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping.

This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty. Small Area Income and Poverty Estimates (SAIPE) Poverty Rates or Income: All Ages (state/county) Under Age 18 (state/county) Ages 5 to 17 in Families (state/county) Ages 5 to 17 in Families (school district) Under Age 5 (state) Median Household Income (state/county) Filter By.

Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives.

Download Small Area Income and Poverty Estimates: [PDF - MB] This report presents summary statistics of the data released by the Small Area Income and Poverty Estimates (SAIPE) program of the U.S. Census Bureau in December Each year, the SAIPE program provides timely, reliable estimates of income and poverty for the administration of Federal.

Download Income, Poverty, and Wealth in the United States: A Chart Book [PDF - MB] Illustrates in charts and graphs several perspectives on income and wealth, including such topics as poverty and the ownership of homes and other assets.

The report begins with a discussion of the income of households and families, along with the earnings of persons working year-round and full-time.

Small-Area Income and Poverty Estimates Panel on Estimates of Poverty for Small Geographic Area, Committee on National Statistics, National Research Council Recent trends in federal policies for social and economic programs have increased the demand for timely, accurate estimates of income and poverty for states, counties, and even smaller areas.

Small Area Estimates. By Stefan Elser, Rachel Upton, and Carolyn Gann. Current Population Reports. January P INTRODUCTION. This report presents summary statistics of the data released by the Small Area Income and Poverty Estimates (SAIPE) program of the U.S. Census Bureau in December 1.

Each year, the SAIPE program provides timely, reliable estimates of income and pov. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping.

This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative s: 2.

19 An Overview of the U.S. Census Bureau’s Small Area Income and Poverty Estimates Program William R. Bell, Wesley W. Basel and Jerry J. Maples. Introduction U.S. Poverty Measure and Poverty Data Sources Poverty Measure and Survey Data Sources Administrative Data Sources Used for Covariate. Introduction.

Download Small Area Income and Poverty Estimates: [PDF - MB] This document presents summary statistics of the data released by the Small Area Income and Poverty Estimates (SAIPE) program of the U.S. Census Bureau in November Each year, the SAIPE program provides timely, reliable estimates of income and poverty for the administration of Federal programs and the.

Based on the small area estimates (SAE) of poverty, almost half or of the 1, cities/municipalities in the Philippines have poverty incidences ranging from to %, while 67 municipalities have poverty incidences higher than %. Small Area Income and Poverty Estimates Estimated number and percent of people in poverty by age Median household Income.

About Us: Remote Support. Staff Directory. State Data Center. Webmaster. CE Catalog. Find Items in Iowa Libraries. Iowa Center for the Book. Iowa Library Commons. Iowa Heritage Digital Collections. Iowa Publications. Small Area Income and Poverty Estimates (SAIPE) Metadata Updated: December 5, Access & Use Information.

Public: This dataset is intended for public access and use. License: U.S. Government Work. Downloads & Resources. Web Page HTML views Visit page. SAIPE revises and improves our methodology as time and resources allow.

The details of the methodology differ slightly from year to year. The most significant change was between andwhen SAIPE began using data from the American Community Survey, rather than from the Annual Social and Economic Supplement to the Current Population Survey.

Small-Area Income and Poverty Estimates: Priorities for and Beyond. Panel on Estimates of Poverty for Small Geographic Areas, Constance F. Citro and Graham Kalton, editors. Committee on National Statistics.

Washington, D.C.: National Academy Press. ISBN: OCLC Number: Description: xii, pages: illustrations ; 23 cm: Contents: 1. Introduction Needs for Small-Area Income and Poverty Estimates Current SAIPE Models Future Model Development: The Role of Surveys Future Model Development: The Role of Administrative Records Using Estimates in Allocation Formulas   The U.S.

Census Bureau's Small Area Income and Poverty Estimates (SAIPE) program provides annual estimates of income and poverty statistics for all school districts, counties, and states. The main objective of this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions.

Small-Area Estimates of Children in Poverty, Interim Report 1, Evaluation of County Estimates for Title I Allocations. Panel on Estimates of Poverty for Small Geographic Areas, C.F. Citro, M.L. Cohen, G. Kalton, and K.K. West, eds., Committee on National Statistics.

Suggested Citation:"6 Using Estimates in Allocation Formulas."National Research Council. Small-Area Income and Poverty Estimates: Priorities for and gton, DC: The National Academies Press.

doi: / The newest source of small-area income and poverty estimates is the Census Bureau's Small Area Income and Poverty Estimates (SAIPE) Program, which was begun in the early s to provide estimates that would be more timely than those from the decennial census.

The new data come from the Small Area Income and Poverty Estimates (SAIPE) program, which provides the only up-to-date, single-year income and poverty statistics for the nation’s 3, counties school districts.

The tables provide statistics on the number of people in poverty, the number of children younger than age 5 in poverty. Footnotes: Since the Data Book, we have used information from the Small Area Income and Poverty Estimates (SAIPE) series of the U.S.

Census Bureau which provides state and county-level estimates of income and poverty. Chapter 7 provides general recommendations to users and producers of small-area income and poverty estimates from SAIPE (and other sources) in the following areas: practices that are important to follow in the production, evaluation, and documentation of estimates; assessments that users should conduct of estimates; and the need for policy makers to consider carefully the use of estimates for fund allocation and other program purposes in light of their uncertainty.

The Census Bureau’s Small Area Income and Poverty Estimates (SAIPE) program produces annual estimates of median household income and poverty status for states, counties, and school combines data from administrative records, postcensal population estimates, and the decennial census with direct estimates from the American Community Survey to provide consistent.

The use of small-area income and poverty estimates for allocating funds or related program purposes imposes significant requirements for the estimates if they are to satisfy the intentions of the framers of program legislation. 3 Ideally, requirements for estimates include the desired concept or definition of poverty or income measured, level of geographic detail, level of population or demographic detail.

The new data come from the Small Area Income and Poverty Estimates (SAIPE) program, which provides the only up-to-date, single-year income and poverty statistics for the nation’s 3, counties school districts.

The tables provide statistics on the number of people in poverty, the number of children younger than age 5 in poverty (for states only), the number of. In the context of poverty estimation, area-level models have been used to estimate the proportion of school age children under poverty at the county level under the SAIPE program (Small Area.

The U.S. Census Bureau’s Small Area Income and Poverty Estimates (SAIPE) program provides annual estimates of income and poverty statistics for all school districts, counties, and states.

The main objective of this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal. Definitions: Estimated number of relevant children age 5 to 17 in poverty who were related to the householder.

Rate is the percentage of same age population. Data Source: U.S. Census Bureau, Small Area Income and Poverty Estimates (SAIPE). Footnotes: State total comes from the aggregate data from all school districts mentioned in Census Bureau website.

Small Area Income & Poverty Estimates (SAIPE) are produced for school districts, counties, and states. a collection of books on the subject of Poor Laws. EBSCOhost eBooks (formerly NetLibrary) search for books on the subject of "poor" Poverty: An International Glossary.

The total income of each family or unrelated individual in the sample was tested against the appropriate poverty threshold to determine the poverty status of that family or unrelated individual. Data Source: U.S.

Census Bureau, Small Area Income and Poverty Estimates (SAIPE)Census and Census Footnotes: Last updated July Best source for child and family well-being indicators in the United States.

National, state, county, congressional district, and city data. Economic well-being, education, health, family structure, and community data. Data by race, sex by age.

KIDS COUNT Data Book. The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) program provides annual estimates of income and poverty statistics for all school districts, counties, and states.

The main objective of this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal.

Definitions: A model-based estimate of children below the federal poverty threshold. The Census Bureau creates this estimate based on administrative data derived from tax returns, counts of food stamp participants, data from the Bureau of Economic Analysis (BEA), decennial census estimates, intercensal population estimates, and Annual Social.

CCDB County and City Data Book; BACE Bayesian Averaging of Classical Estimates; MTF Make Trade Fair; Categories. Most relevant lists of abbreviations for SAIPE (Small Area Income and Poverty Estimates) 1.

Poverty; 1. Income; 1. Estimate; 1. Area; 1. Censu; 1. County; 1. Locations; Alternative Meanings 2 alternative SAIPE meanings. SAIPE - Small.

Definitions: Number and percent of children under age 18 living in families with incomes below the federal poverty level. Data Source: U.S. Census Bureau, Small Area Income and Poverty Estimates (SAIPE).

Footnotes: There is a break in the SAIPE time-series between and due to the switch from CPS ASEC to ACS data in SAIPE modeling. Comparisons across these particular years are not.The Small Area Income and Poverty Estimates poverty data are released by the Census Bureau and sponsored by the U.S.

Department of Education. The estimates are used to guide the allocation of.Definitions: The number and percentage of children under the age of 18 who are living in poverty in New Mexico, statewide and by county.

Data Source: State-level data are 1-year estimates from U.S. Census Bureau, American Community Survey (ACS), Table S County-level data are 1-year estimates from Small Area Income and Poverty Estimates (SAIPE).

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