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. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. In order to implement provisions under Title I of the Elementary and Secondary Education Act as amended, we produce total population, number of children ages 5 to 17, and number of related children ages 5 to 17 in families in poverty estimates for school districts.
The goal of the Monthly Outcome Survey (MOS) Small Area Estimations (SAE) is to generate estimates of the proportions of adults, by county and month, who were in the population of interest for the U.S. Department of Health and Human Services’ (HHS) We Can Do This COVID-19 Public Education Campaign. These data are designed to be used by practitioners and researchers to understand how county-level COVID-19 vaccination hesitancy changed over time in the United States.
The UK censuses took place on 29th April 2001. They were run by the Northern Ireland Statistics & Research Agency (NISRA), General Register Office for Scotland (GROS), and the Office for National Statistics (ONS) for both England and Wales. The UK comprises the countries of England, Wales, Scotland and Northern Ireland.
Statistics from the UK censuses help paint a picture of the nation and how we live. They provide a detailed snapshot of the population and its characteristics, and underpin funding allocation to provide public services.
The Census 2001: Small Area Microdata SAM is a 5% sample of individuals for all countries of the UK, with 2.96 million cases. Local Authority is the lowest level of geography for England and Wales, Council Areas for Scotland and Parliamentary Constituencies for Northern Ireland. The Scilly Isles have been merged with Penwith and the City of London with Westminster. Orkney and Shetland are merged into one area. All other areas are identified. The median sample size for an authority is 5,600 records and nearly eighty authorities have more than 10,000 records. The amount of individual detail in the SAM is less than in the 2001 Individual Licenced Sample of Anonymised Records (I-SAR)(see under SNs 7205 and 7206) because of the greater geographical detail in the SAM.Small area estimation modelling methods have been applied to the 2011 Skills for Life survey data in order to generate local level area estimates of the number and proportion of adults (aged 16-64 years old) in England living in households with defined skill levels in:
The number and proportion of adults in households who do not speak English as a first language are also included.
Two sets of small area estimates are provided for 7 geographies; middle layer super output areas (MSOAs), standard table wards, 2005 statistical wards, 2011 council wards, 2011 parliamentary constituencies, local authorities, and local enterprise partnership areas.
Regional estimates have also been provided, however, unlike the other geographies, these estimates are based on direct survey estimates and not modelled estimates.
The files are available as both Excel and csv files – the user guide explains the estimates and modelling approach in more detail.
To find the estimate for the proportion of adults with entry level 1 or below literacy in the Manchester Central parliamentary constituency, you need to:
It is estimated that 8.1% of adults aged 16-64 in Manchester Central have entry level or below literacy. The Credible Intervals for this estimate are 7.0 and 9.3% at the 95 per cent level. This means that while the estimate is 8.1%, there is a 95% likelihood that the actual value lies between 7.0 and 9.3%.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">14.5 MB</span></p>
<p class="gem-c-attachment_metadata">This file may not be suitable for users of assistive technology.</p>
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U.S. Government Workshttps://www.usa.gov/government-works
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The Small Area Estimates of Poverty and Inequality dataset consists of consumption-based
poverty, inequality and related measures for subnational administrative units in approximately twenty countries throughout Africa,
Asia, Europe, North America, and South America. These measures are derived on a country-level basis from a combination of census and
survey data using small area estimates techniques. The collection of data have been compiled, integrated and standardized from the
original data providers into a unified spatially referenced and globally consistent dataset. The data products include shapefiles
(vector data), tabular datasets (csv format), and centroids (csv file with latitude and longitude of a geographic unit and associated
poverty estimates). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This
dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration
with a number of external data providers.
Central Statistics Office administrative unit created for population statistics at a local level. Census small areas are a sub-division of the Electoral Division administrative unit. Census Small Area (CSA) generally cover 65-90 households. There are 18488 boundary features defined as a CSA. Metadata attributes follow the INSPIRE schema for Administrative units. None
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Geospatial approaches to producing household population estimates for Lower Layer Super Output Areas in England and Wales. Research estimates relating to Geospatial methods for Small Area Population Estimates: proof of concept.
The goal of the Monthly Outcome Survey (MOS) Small Area Estimations (SAE) is to generate estimates of the proportions of adults, by county and month, who were in the population of interest for the U.S. Department of Health and Human Services’ (HHS) We Can Do This COVID-19 Public Education Campaign. These data are designed to be used by practitioners and researchers to understand how county-level COVID-19 vaccination hesitancy changed over time in the United States.
This dataset consists of housing unit, household, and population estimates for census tracts, census block groups, Transportation Analysis Zones (TAZs), school districts, and ZIP codes in the Twin Cities Region. These data provide a more precise and timely picture of current conditions than the American Community Survey, another source of small area data that is better suited for statistics like percentages and averages than for actual counts. It may be possible to calculate estimates for other small areas upon request; contact Research@metc.state.mn.us for more information.
City level data summarized by demographic, social and economic profiles, and health outcomes and risk factors.
The population of Latin America and the Caribbean increased from 175 million in 1950 to 515 million in 2000. Where did this growth occur? What is the magnitude of change in different places? How can we visualize the geographic dimensions of population change in Latin America and the Caribbean? We compiled census and other public domain information to analyze both temporal and geographic changes in population in the region. Our database includes population totals for over 18,300 administrative districts within Latin America and the Caribbean. Tabular census data was linked to an administrative division map of the region and handled in a geographic information system. We transformed vector population maps to raster surfaces to make the digital maps comparable with other commonly available geographic information. Validation and error-checking analyses were carried out to compare the database with other sources of population information. The digital population maps created in this project have been put in the public domain and can be downloaded from our website. The Latin America and Caribbean map is part of a larger multi-institutional effort to map population in developing countries. This is the third version of the Latin American and Caribbean population database and it contains new data from the 2000 round of censuses and new and improved accessibility surfaces for creating the raster maps.
description: The Small Area Income and Poverty Estimates (SAIPE) program produces single-year estimates of median household income and poverty for all counties and states and poverty and population for all Title I-eligible school districts.; abstract: The Small Area Income and Poverty Estimates (SAIPE) program produces single-year estimates of median household income and poverty for all counties and states and poverty and population for all Title I-eligible school districts.
Small area data (SAD) on field crops show seeded and harvested area, yield and production estimates for most principal field crops and some special crops in Canada. Most SAD geographies correspond exactly with the Census Agriculture Region (CAR) limits, excepts for some regions of Quebec (where small areas are defined by provincial administrative boundaries), Saskatchewan (where small areas coincide with census divisions boundaries as of 2017) and British Columbia. For exact correspondence between Census Agricultural Regions (CAR) and Small Area Data (SAD) Regions, see the following link: https://www.statcan.gc.ca/eng/statistical-programs/document/3401_D2_V2 These regions are associated with Statistics Canada estimates on principal field crops available in the following table: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210000201
MIT Licensehttps://opensource.org/licenses/MIT
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Neighborhood; Population Size; African American; Asian/Pacific Islander; Latino; White; Foreign-born; Speaks a language other than English at home; Single parent households; Households with children; Average household size; 0-5 years; 6-11 years; 12-17 years; 18-24 years; 25-34 years; 35-44 years; 45-54 years; 55-64 years; Ages 65 and older; Ages 17 and younger. Percentages unless otherwise noted. Source information provided at: https://www.sccgov.org/sites/phd/hi/hd/Documents/City%20Profiles/Methodology/Neighborhood%20profile%20methodology_082914%20final%20for%20web.pdf
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Population estimates relate to the population as of 30th June each year, and therefore are often referred to as mid-year estimates. These population estimates provide population totals for the 4,537 Small Areas in Northern Ireland and therefore can be used as building blocks for population estimates for higher level geographies.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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U.S. Census Bureau QuickFacts statistics for Little Egg Harbor township, Ocean County, New Jersey. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
HHS COVID-19 Small Area Estimations Survey - Updated Bivalent Vaccine Audience - Wave 27
Description
The goal of the Monthly Outcome Survey (MOS) Small Area Estimations (SAE) is to generate estimates of the proportions of adults, by county and month, who were in the population of interest for the U.S. Department of Health and Human Services’ (HHS) We Can Do This COVID-19 Public Education Campaign. These data are designed to be used by practitioners and researchers to… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/hhs-covid-19-small-area-estimations-survey-updated.
This feature service outlines relationships between Zip Code Tabulation Areas (ZCTAs) used to denote Small Area Fair Market Rents (SAFMRs) and the Fair Market Rents (FMRs) calculated for Metropolitan Statistical Areas (MSAs) and County geographies. Small Area Fair Market Rents (SAFMRs) are FMRs calculated for ZIP Codes within Metropolitan Areas. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD (available here). Other Housing Agencies operating in non-designated metropolitan areas may opt-in to the use of Small Area FMRs. Furthermore, Small Area FMRs may be used as the basis for setting Exception Payment Standards – PHAs may set exception payment standards up to 110 percent of the Small Area FMR. PHAs administering Public Housing units may use Small Area FMRs as an alternative to metropolitan area-wide FMRs when calculating Flat Rents.
Official statistics are produced impartially and free from political influence.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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U.S. Census Bureau QuickFacts statistics for Nome Census Area, Alaska. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
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. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. In order to implement provisions under Title I of the Elementary and Secondary Education Act as amended, we produce total population, number of children ages 5 to 17, and number of related children ages 5 to 17 in families in poverty estimates for school districts.