The U.S. Department of Housing and Urban Development (HUD) periodically receives custom tabulations of data from the U.S. Census Bureau that are largely not available through standard Census products. These data, known as the CHAS data (Comprehensive Housing Affordability Strategy), demonstrate the extent of housing problems and housing needs, particularly for low income households. The CHAS data are used by local governments to plan how to spend HUD funds, and may also be used by HUD to distribute grant funds

The U.S. Department of Housing and Urban Development (HUD) periodically receives "custom tabulations" of Census data from the U.S. Census Bureau that are largely not available through standard Census products. These datasets, known as "CHAS" (Comprehensive Housing Affordability Strategy) data, demonstrate the extent of housing problems and housing needs, particularly for low income households. The primary purpose of 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 HUD’s programs (primarily 30, 50, and 80 percent of median income). CHAS data provides counts of the numbers of households that fit these HUD-specified characteristics in a variety of geographic areas. In addition to estimating low-income housing needs, CHAS data contributes 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. This dataset is a special tabulation of the 2016-2020 American Community Survey (ACS) and reflects conditions over that time period. The dataset uses custom HUD Area Median Family Income (HAMFI) figures calculated by HUD PDR staff based on 2016-2020 ACS income data. CHAS datasets are used by Federal, State, and Local governments to plan how to spend, and distribute HUD program funds. To learn more about the Comprehensive Housing Affordability Strategy (CHAS), visit: https://www.huduser.gov/portal/datasets/cp.html, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. To learn more about the American Community Survey (ACS), and associated datasets visit: https://www.census.gov/programs-surveys/acs Data Dictionary: DD_ACS 5-Year CHAS Estimate Data by State Date of Coverage: 2016-2020

Comprehensive Housing Affordability Strategy (CHAS) data documenting the extent of housing problems and housing needs, particularly for low income households, at the Tract level. This is estimated by the number of households that have certain housing problems and have income low enough to qualify for HUD’s programs (primarily 30, 50, and 80 percent of median income).

Comprehensive Housing Affordability Strategy (CHAS) data documenting the extent of housing problems and housing needs, particularly for low income households, at the State level. This is estimated by the number of households that have certain housing problems and have income low enough to qualify for HUD’s programs (primarily 30, 50, and 80 percent of median income).

The U.S. Department of Housing and Urban Development (HUD) periodically receives "custom tabulations" of Census data from the U.S. Census Bureau that are largely not available through standard Census products. These datasets, known as "CHAS" (Comprehensive Housing Affordability Strategy) data, demonstrate the extent of housing problems and housing needs, particularly for low income households.

The primary purpose of 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 HUD’s programs (primarily 30, 50, and 80 percent of median income).

CHAS data provides counts of the numbers of households that fit these HUD-specified characteristics in a variety of geographic areas. In addition to estimating low-income housing needs, CHAS data contributes 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.

This dataset is a special tabulation of the 2013-2017 American Community Survey (ACS) and reflects conditions over that time period. The data set uses custom HUD Area Median Family Income (HAMFI) figures calculated by HUD PDR staff based on 2013-2017 ACS income data.

CHAS datasets are used by Federal, State, and Local governments to plan how to spend, and distribute HUD program funds. To learn more about the Comprehensive Housing Affordability Strategy (CHAS), visit: https://www.huduser.gov/portal/datasets/cp.html To learn more about the American Community Survey (ACS), and associated datasets visit: https://www.census.gov/programs-surveys/acs Data Dictionary: DD_ACS 5-Year CHAS Estimate Data by Place Date of Coverage: 2013-2017

This table contains data on the percent of households paying more than 30% (or 50%) of monthly household income towards housing costs for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Department of Housing and Urban Development (HUD), Consolidated Planning Comprehensive Housing Affordability Strategy (CHAS) and the U.S. Census Bureau, American Community Survey (ACS). The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity] Affordable, quality housing is central to health, conferring protection from the environment and supporting family life. Housing costs—typically the largest, single expense in a family's budget—also impact decisions that affect health. As housing consumes larger proportions of household income, families have less income for nutrition, health care, transportation, education, etc. Severe cost burdens may induce poverty—which is associated with developmental and behavioral problems in children and accelerated cognitive and physical decline in adults. Low-income families and minority communities are disproportionately affected by the lack of affordable, quality housing. More information about the data table and a data dictionary can be found in the Attachments.

The Chicago Academy of Sciences ornithology collection includes over 13,000 specimens, with approximately 12,000 skins and 1,000 mounted specimens. An important addition in 1965 was the donation of 3,600 specimens from S. S. Gregory, which includes the extinct Ivory-billed Woodpeckers and Carolina Parakeets. In all, 583 species of North American birds are represented. Thirty percent of the birds were collected before 1900, including important Illinois specimens from Robert Kennicott and Benjamin T. Gault. There is also a valuable collection of nearly 1,000 Alaskan skins. Other notable collectors include Alfred M. Bailey, P. Brodkorb, Charles D. Brower, Henry K. Coale, Francis S. Dayton, Ruthven Deane, Stephen Strong Gregory, Charles D. Klotz, Roy V. Komarek, Edwin V. Komarek, C. C. Sanborn, and Earl G. Wright.

The Chicago Academy of Sciences herpetology collection includes over 22,000 specimens, primarily preserved in alcohol. Approximately 60% of the specimens are reptiles and 40% are amphibians. The Midwest is strongly represented, as are Arizona and southeastern United States, thanks to multiple Academy expeditions during the mid-1900s. The collection contains many para- and holotypes, as well as one subspecies type specimen, of the Northern Crawfish Frog (Lithobates areolata circulosa). Notable collectors include: Knox Conant, Hudson Conant, Richard A. Edgren, Howard K. Gloyd, R. L. Hutchison, Betty Komarek, Edwin V. Komarek, Roy V. Komarek, Walter L. Necker, and Orlando Park.

This dataset contains current and historical UV Index data for Chas.

Explore Indian Chas export data with HS codes, pricing, ports, and a verified list of Chas exporters and suppliers from India with complete shipment insights.

Chas M Cc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

This dataset provides information about the number of properties, residents, and average property values for Chas Drive cross streets in Lexington, KY.

United States Imports: Chas W Eng F Trac, Mtr Veh F Pass, Gd & Special Pur data was reported at 14.482 USD mn in Jan 2025. This records an increase from the previous number of 8.613 USD mn for Dec 2024. United States Imports: Chas W Eng F Trac, Mtr Veh F Pass, Gd & Special Pur data is updated monthly, averaging 3.934 USD mn from Jan 2002 (Median) to Jan 2025, with 277 observations. The data reached an all-time high of 31.846 USD mn in Jun 2024 and a record low of 0.102 USD mn in Sep 2003. United States Imports: Chas W Eng F Trac, Mtr Veh F Pass, Gd & Special Pur data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.JA129: Imports: by Commodity: 4 Digit HS Code.

Housing-Burdened Low-Income Households. Percent of households in a census tract that are both low income (making less than 80% of the HUD Area Median Family Income) and severely burdened by housing costs (paying greater than 50% of their income to housing costs). (5-year estimates, 2013-2017).

The cost and availability of housing is an important determinant of well- being. Households with lower incomes may spend a larger proportion of their income on housing. The inability of households to afford necessary non-housing goods after paying for shelter is known as housing-induced poverty. California has very high housing costs relative to much of the country, making it difficult for many to afford adequate housing. Within California, the cost of living varies significantly and is largely dependent on housing cost, availability, and demand.

Areas where low-income households may be stressed by high housing costs can be identified through the Housing and Urban Development (HUD) Comprehensive Housing Affordability Strategy (CHAS) data. We measure households earning less than 80% of HUD Area Median Family Income by county and paying greater than 50% of their income to housing costs. The indicator takes into account the regional cost of living for both homeowners and renters, and factors in the cost of utilities. CHAS data are calculated from US Census Bureau's American Community Survey (ACS).

Alexis Chas Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Chas Tech Enterprise Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Dataset from Ministry of Health. For more information, visit https://data.gov.sg/datasets/d_65d11d02ab0246cec53bfc995c782628/view

Comprehensive dataset containing 36 verified Chas Pik locations in Russia with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 34 verified Garazh Na Chas locations in Russia with complete contact information, ratings, reviews, and location data.

This dataset provides information about the number of properties, residents, and average property values for Chas Drive cross streets in Hampstead, MD.