ACS 5 Year CHAS Data by County, 2008-2012
Abstract/Contents
- Abstract
- This polygon shapefile contains Comprehensive Housing Affordability Strategy (CHAS) data at the county level. The CHAS is derived from the American Community Survey (ACS) data, which has a smaller sample size than the Decennial Census (which was the basis of the 2000 CHAS). As a result, the Census Bureau cannot produce data using only one year of survey responses, except in very populous areas. For areas with population 65,000 or greater, ACS estimates are available each year using only the most recent year’s survey responses (known as "1-year data"). For areas with population 20,000 or greater, ACS estimates are available each year based on averages of the previous three years of survey responses ("3-year data"). For areas with population less than 20,000—including all census tracts, and many places, counties, and minor civil divisions—the only ACS estimates available are based on averages of the previous five years of survey responses ("5-year data"). The primary purpose of the CHAS data is to demonstrate the number of households in need of housing assistance. This is estimated by the number of households that have certain housing problems and have income low enough to qualify for HUDs programs (primarily 30, 50, and 80 percent of median income). It is also important to consider the prevalence of housing problems among different types of households, such as the elderly, disabled, minorities, and different household types. The CHAS data provide counts of the numbers of households that fit these HUD-specified characteristics in HUD-specified geographic areas. In addition to estimating low-income housing needs, the CHAS data contribute to a more comprehensive market analysis by documenting issues like lead paint risks, affordability mismatch, and the interaction of affordability with variables like age of homes, number of bedrooms, and type of building. Dataset uses custom HAMFI figures calculated by HUD PDR staff based on 2008-2012 ACS income data.
- Purpose
- This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.)
Description
| Type of resource | cartographic, software, multimedia |
|---|---|
| Form | Shapefile |
| Extent | 31.029 |
| Place | Washington D.C., US |
| Publisher | United States. Department of Housing and Urban Development |
| Publication date | 2016 |
| Language | English |
| Digital origin | born digital |
| Map data | Scale not given. ; W 178°13ʹ40ʺ--W 65°14ʹ39ʺ/N 71°23ʹ26ʺ--N 17°52ʹ53ʺ, Scale not given ; EPSG::4326 |
Creators/Contributors
| Creator | United States. Department of Housing and Urban Development |
|---|
Subjects
| Subject | Housing |
|---|---|
| Subject | Income |
| Subject | United States |
| Subject | 2008-2012 |
| Subject | Boundaries |
| Subject | Society |
| Genre | Geospatial data |
| Genre | Cartographic dataset |
Bibliographic information
Access conditions
- Use and reproduction
- This item is in the public domain. There are no restrictions on use.
- Copyright
- This work is in the Public Domain, meaning that it is not subject to copyright.
Preferred citation
- Preferred citation
- United States. Department of Housing and Urban Development. (2016). ACS 5 Year CHAS Data by County, 2008-2012. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/dw607bb8018.
Collection
U.S. Department of Housing and Urban Development Maps and GIS Data
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