The AHS is the largest, regular national housing sample survey in the United States. The U.S. Census Bureau conducts the AHS to obtain up-to-date housing statistics for the Department of Housing and Urban Development (HUD). The AHS national survey was conducted annually from 1973-1981 and biennially (every two years) since 1983. Metropolitan area surveys have been conducted annually or biennially since 1974.

This data collection provides information on the characteristics of a national sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units. Unlike previous years, the data are presented in nine separate parts: Part 1, Work Done Record (Replacement or Additions to the House), Part 2, Housing Unit Record (Main Record), Part 3, Worker Record, Part 4, Mortgages (Owners Only), Part 5, Manager and Owner Record (Renters Only), Part 6, Person Record, Part 7, Mover Group Record, Part 8, Recodes (One Record per Housing Unit), and Part 9, Weights. Data include year the structure was built, type and number of living quarters, occupancy status, access, number of rooms, presence of commercial establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, types of heating fuel used, source of water, sewage disposal, heating and air-conditioning equipment, and major additions, alterations, or repairs to the property. Information provided on housing expenses includes monthly mortgage or rent payments, cost of services such as utilities, garbage collection, and property insurance, and amount of real estate taxes paid in the previous year. Also included is information on whether the household received government assistance to help pay heating or cooling costs or for other energy-related services. Similar data are provided for housing units previously occupied by respondents who had recently moved. Additionally, indicators of housing and neighborhood quality are supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, breakdowns of plumbing facilities and equipment, and overall opinion of the structure. For quality of neighborhood, variables include use of exterminator services, existence of boarded-up buildings, and overall quality of the neighborhood. In addition to housing characteristics, some demographic data are provided on household members, such as age, sex, race, marital status, income, and relationship to householder. Additional data provided on the householder include years of school completed, Spanish origin, length of residence, and length of occupancy. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR02912.v2. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

The Department of Housing and Urban Development funds and provides oversight for the survey. The U.S. Census Bureau collects the data. For more than forty years the American Housing Survey has provided researchers, policy makers, academics, and others in the housing and urban planning professions with the most comprehensive up-to-date information on the size and composition of U.S. housing stock.

Source: https://www.census.gov/programs-surveys/ahs/data/2011/ahs-2011-public-use-file-puf/ahs-2011-national-public-use-file-puf.html Further explanation on columns: https://www.census.gov/data-tools/demo/codebook/ahs/ahsdict.html?s_keyword=&s_year=&sortby=

The AHS is sponsored by the Department of Housing and Urban Development (HUD) and conducted by the U.S. Census Bureau. The survey is the most comprehensive national housing survey in the United States.

Characteristics of the United States housing inventory listed in this file include the age, size, and type of living quarters, property values, and the presence of commercial establishments on the property. Additional data focus on the presence and condition of kitchen and plumbing facilities and the type and cost of utilities, as well as housing expenses, property repair or alteration, and insurance costs. Many of the same characteristics are given for housing previously occupied by recent movers. Information on age, sex, race, marital status, and income is provided for each household member, with additional data on education, Spanish origin, and household tenure for the head of household. Indicators provided for housing quality include privacy and structural condition. For neighborhood quality, indicators assess noise, crime, air quality, and the presence of abandoned structures, along with the adequacy of neighborhood services such as police protection, parks, health care, and public transportation. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR06149.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

The 2015 American Housing Survey marks the first release of a newly integrated national sample and independent metropolitan area samples. The 2015 release features many variable name revisions, as well as the integration of an AHS Codebook Interactive Tool available on the U.S. Census Bureau We site. This data collection provides information on the characteristics of a national sample of housing units in 2015, including apartments, single-family homes, mobile homes, and vacant housing units. Data from the 15 largest metropolitan areas in the United States are included in the national sample survey (the AHS 2015 Metropolitan Data are also available as ICPSR 36805). The data are presented in three separate parts: Part 1, Household Record (Main Record), Part 2, Person Record, and Part 3, Project Record. Household Record data includes questions about household occupancy and tenure, household exterior and interior structural features, household equipment and appliances, housing problems, housing costs, home improvement, neighborhood features, recent moving information, income, and basic demographic information. The household record data also features four rotating topical modules: Arts and Culture, Food Security, Housing Counseling, and Healthy Homes. Person Record data includes questions about personal disabilities, income, and basic demographic information. Finally, the Project Record data includes questions about home improvement projects. Specific questions were asked about the types of projects, costs, funding sources, and year of completion.

The AHS is the largest, regular national housing sample survey in the United States. The U.S. Census Bureau conducts the AHS to obtain up-to-date housing statistics for the Department of Housing and Urban Development (HUD). The AHS contains a wealth of information that can be used by professionals in nearly every field for planning, decisionmaking, market research, or various kinds of program development. It gives you data on apartments, single-family homes, mobile homes, vacant homes, family composition, income, housing and neighborhood quality, housing costs, equipment, fuels, size of housing unit, and recent movers.

The Manufactured Housing Survey (MHS) is sponsored by the Department of Housing and Urban Development (HUD) and conducted by the U.S. Census Bureau. The MHS produces monthly regional estimates of the average sales price for new manufactured homes and more detailed annual estimates including selected characteristics of new manufactured homes. In addition, MHS produces monthly estimates of homes shipped by status. The statistics on shipments of new manufactured homes are produced by the Institute for Building Technology and Safety (IBTS). They are rounded in the month of release and unrounded in subsequent months. Both not seasonally adjusted and seasonally adjusted annual rates of shipment estimates of new manufactured homes are released monthly. With the release of April shipments, the monthly seasonally adjusted estimates of shipments of new manufactured homes are revised for the current year and the previous five years. MHS coverage includes all new manufactured homes that have received a Federal inspection (i.e., HUD-code homes).

Abstract (en): This data collection provides information on the characteristics of a national sample of housing units. Data include year the structure was built, type and number of living quarters, occupancy status, access, number of rooms, presence of commercial establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, types of heating fuel used, source of water, sewage disposal, heating and air-conditioning equipment, and major additions, alterations, or repairs to the property. Information provided on housing expenses includes monthly mortgage or rent payments, cost of services such as utilities, garbage collection, and property insurance, and amount of real estate taxes paid in the previous year. Also included is information on whether the household received government assistance to help pay heating or cooling costs or for other energy-related services. Similar data are provided for housing units previously occupied by respondents who have recently moved. Additionally, indicators of housing and neighborhood quality are supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, breakdowns of plumbing facilities and equipment, and overall opinion of the structure. For quality of neighborhood, variables include use of an exterminator service, existence of boarded-up buildings, and overall quality of the neighborhood. In addition to housing characteristics, some demographic data are provided on household members, such as age, sex, race, marital status, income, and relationship to householder. Additional data provided on the householder include years of school completed, Spanish origin, length of residence, and length of occupancy. Housing units in the United States. The basic sample of approximately 55,000 housing units was selected from the 1980 Census of Population and Housing records and updated by a sample of addresses from building permits to include new construction and conversions.

This dataset was created by EIDC on Thu, 16 Jun 2022 14:12:12 GMT.

This data collection provides information on characteristics of housing units in eight selected Metropolitan Statistical Areas (MSAs) of the United States. Data for each household member include age, sex, race, marital status, income, and relationship to the householder. For the householder, data also include tenure, length of residence, years of school completed, and Spanish origin. Variables pertaining to general housing characteristics cover number of rooms, type of heating and air-conditioning equipment, and whether the housing units had complete kitchens and plumbing facilities. Information on costs incurred for mortgage payments, rent, real estate taxes, property insurance, utilities, parking, and garbage collection permits comparisons of housing costs from one year to another between geographic areas. Limited data are provided on costs of additions, alterations, replacements, and repairs made to the property. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR06954.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Annual Housing Unit Estimates for the United States, States, and Counties: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // Note: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 housing units due to the Count Question Resolution program and geographic program revisions // Each year, the Census Bureau's Population and Housing Unit Estimates Program utilizes current data on new residential construction, placements of manufactured housing, and housing unit loss to calculate change in the housing stock since the most recent decennial census, and produces a time series of housing unit estimates. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html.

The American Housing Survey was first conducted in 1973. Between 1973 and 1981 it was conducted every year and was called the Annual Housing Survey. The last even-numbered year for the national survey was 1980. Since 1981, the survey has been conducted every other year. In 1984, the name was changed to the American Housing Survey. The 1997 national data are from a sample of housing units interviewed between August and November 1997. The CD-ROM contains data files in both SAS. and ASCII format s. The 1998 American Housing Survey Metropolitan Sample (AHS-MS)provides information on 15 metropolitan areas interviewed as part of the American Housing Survey (AHS),which was conducted by the U.S.Census Bureau for the Department of Housing and Urban Development. These metropolitan areas are: Baltimore, MD Birmingham, AL Boston, MA-NH Cincinnati, OH-KY-IN Houston, TX Minneapolis-St.Paul, MN-WI Norfolk-Virginia Beach-Newport News, VA-NC Oakland, CA Providence-Pawtucket-Warwick, RI-MA Rochester, NY Salt Lake City, UT San Francisco, CA San Jose, CA Tampa-St.Petersburg, FL, and Washington DC-MD-VA.

Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check the CDs out subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

Abstract copyright UK Data Service and data collection copyright owner.

The English Housing Survey (EHS) is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. The EHS brings together two previous survey series into a single fieldwork operation: the English House Condition Survey (EHCS) (available from the UK Data Archive under GN 33158) and the Survey of English Housing (SEH) (available under GN 33277). The EHS covers all housing tenures. The information obtained through the survey provides an accurate picture of people living in the dwelling, and their views on housing and their neighbourhoods. The survey is also used to inform the development and monitoring of the Ministry's housing policies. Results from the survey are also used by a wide range of other users including other government departments, local authorities, housing associations, landlords, academics, construction industry professionals, consultants, and the general public.

The EHS has a complex multi-stage methodology consisting of two main elements; an initial interview survey of around 12,000 households and a follow-up physical inspection. Some further elements are also periodically included in or derived from the EHS: for 2008 and 2009, a desk-based market valuation was conducted of a sub-sample of 8,000 dwellings (including vacant ones), but this was not carried out from 2010 onwards. A periodic follow-up survey of private landlords and agents (the Private Landlords Survey (PLS)) is conducted using information from the EHS interview survey. Fuel Poverty datasets are also available from 2003, created by the Department for Energy and Climate Change (DECC).

The EHS interview survey sample formed part of the Integrated Household Survey (IHS) (available from the Archive under GN 33420) from April 2008 to April 2011. During this period the core questions from the IHS formed part of the EHS questionnaire.

End User Licence and Special Licence Versions:
From 2014 data onwards, the End User Licence (EUL) versions of the EHS will only include derived variables. In addition the number of variables on the new EUL datasets has been reduced and disclosure control increased on certain remaining variables. New Special Licence versions of the EHS will be deposited later in the year, which will be of a similar nature to previous EHS EUL datasets and will include derived and raw datasets.

Further information about the EHS and the latest news, reports and tables can be found on the GOV.UK English Housing Survey web pages.

English Housing Survey, 2022: Housing Stock Data contains data from the households who have taken part in both the interview and physical surveys as well as physical survey data on a random sample of vacant dwellings identified by the interviewer. The data from the interview survey only are available under English Housing Survey, 2022-2023: Household Data.

Main Topics:

The EHS Housing survey consists of two components.

Interview survey on the participating household - An interview is first conducted with the householder. The interview topics include: household characteristics, satisfaction with the home and the area, disability and adaptations to the home, ownership and rental details and income details. All interviewees are guaranteed confidentiality and all data are anonymised.

Physical survey on the housing Stock - A visual inspection of both the interior and exterior of the dwelling is carried out by a qualified surveyor to assess the condition and energy efficiency of the dwelling. Topics covered include whether the dwelling meets the Decent Homes Standard; cost to make the dwelling decent; existence of damp and Category 1 Hazards as measured by the Housing Health and Safety Rating System (HHSRS); Energy Efficiency Rating. The physical survey is carried out on the dwelling of a sub-sample of the participants of the interview survey. The sub-sample consists of the dwelling of participants living in private or social rented properties and a sub-sample of those in owner occupied properties. A proportion of the dwellings found to be vacant during the interview survey are also included in the physical survey.

Experimental Occupancy status, Units, Year built, Owner/Renter (Tenure), Mortgage/Rent costs variables. Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data. This includes a limited number of data tables for the nation, states, and the District of Columbia. Please visit the following webpage for details. https://www.census.gov/programs-surveys/acs/data/experimental-data.htmlContact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: District-wide. Current Vintage: 2020. ACS Table(s): Housing - Experimental. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: March 18, 2022. National Figures: data.census.gov. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.

The English Housing Survey (EHS) is a continuous national survey commissioned by the Department for Communities and Local Government (DCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. The EHS brings together two previous surveys into a single fieldwork operation: the English House Condition Survey (EHCS) (available from the UK Data Archive under GN 33158) and the Survey of English Housing (SEH) (available from the Archive under GN 33277). The EHS covers all housing tenures and provides valuable information and evidence to inform the development and monitoring of the department's housing policies. Results from the survey are also used by a wide range of other users including other government departments, local authorities, housing associations, landlords, academics, construction industry professionals, consultants, and the general public. The EHS has a complex multi-stage methodology consisting of two main elements; an initial interview survey of around 14,000 households and a follow-up physical inspection. Some further elements are also periodically included in or derived from the EHS: for 2008 and 2009, a desk-based market valuation was conducted of a sub-sample of 8,000 dwellings (including vacant ones), but this was not carried out from 2010 onwards. A periodic follow-up survey of private landlords and agents (the Private Landlords Survey (PLS)) is conducted using information from the EHS interview survey. Fuel Poverty datasets are also available from 2003, created by the Department for Energy and Climate Change (DECC).

The EHS interview survey sample formed part of the Integrated Household Survey (IHS) (available from the Archive under GN 33420) from April 2008 to April 2011. During this period the core questions from the IHS formed part of the EHS questionnaire.

The EHS is used to derive two types of datasets: Household and Housing Stock. These are available separately for the End User Licence (EUL) and Special Licence (SL) versions, but are combined into one study for the Secure Access EHS:

• Household datasets comprise the full interview data (plus associated derived variables) for all cases where an interview has been completed. Datasets are provided for single financial years together with annual weights. The survey consists of a detailed interview using a CAPI based program. An interview is first conducted with the householder. Household datasets should be used for any analysis where only information from the household interview is required.
• Housing Stock data are available for all cases where a physical survey has been completed. For occupied properties, the datasets include data from the household interview as well as data from the physical survey. For vacant properties, only data for the physical survey are provided. The data are made available for a two year rolling sample i.e. approximately 12,000 cases together with the appropriate 2-year weights. This means that if you use more than one housing stock dataset, you must use either odd or even years. For example, you need to use the Housing Stock Dataset for '2012' and '2014' or '2013' and '2015', but not the dataset for '2014' and '2013' as you would double-count the cases surveyed between April 2013 and March 2014. The Housing Stock datasets should be used for any analysis requiring information relating to the physical characteristics and energy efficiency of the housing stock. Derived datasets provide key analytical variables compiled post-fieldwork including energy efficiency ratings, decent home indicators and equivalised income.

Secure Access EHS data:
Secure Access datasets for the EHS up to 2013/14 are available under UK Data Archive SN 6923 and include two detailed geographical variables that are not available in the standard EUL versions: Postcodes and Lower Layer Super Output Areas. These variables have been merged into the General derived data file within each Household and Housing Stock dataset. The two variables are also available in a separate Detailed Geography data file, along with the key variable 'aacode', allowing the user to merge with other files of their choice. All other files are the same as in the EUL versions. Secure Access datasets for the EHS from 2014/15 are available under Archive SN 8121. From the submission of the 2014/15 datasets onwards, the EHS Secure Access approach was changed by the Department of Communities and Local Government (DCLG). The Postcode and Lower Layer Super Output Area variables remain available and DCLG also provide versions of the full EHS datasets as used internally, i.e. not disclosure controlled, for Secure Access. For the 2015/16 datasets, the Secure Access version includes the Special Licence version data also available under SNs 8254 and 8255, as well as detailed geography files containing postcodes and Lower Layer Super Output Area variables.

Prospective users of the Secure Access version of the EHS will need to fulfil additional requirements, commencing with the completion of extra application forms to demonstrate to the data owners exactly why they need access to the extra, more detailed variables, in order to obtain permission to use that version. Secure Access users must also complete face-to-face training and agree to Secure Access' User Agreement and Licence Compliance Policy (see 'Access' section below). Therefore, users are encouraged to download and inspect the EUL and/or Special Licence versions of the data prior to ordering a Secure Access version.

Related UK Data Archive studies:
EUL versions of the EHS studies are available under GN 33422, and further details and links for these can be found via the EHS list of datasets. From 2014/15 data onwards, the EUL versions of the EHS only include derived variables. In addition the number of variables on the new EUL datasets has been reduced and disclosure control increased on certain remaining variables. New Special Licence versions of the EHS have been deposited, which are of a similar nature to previous EHS EUL datasets and include derived and raw datasets. Special Licence versions of the data from 2014/15 onwards are available under Archive GN 33515.

Further information about the EHS and the latest news, reports and tables can be found on the GOV.UK English Housing Survey web pages.

For the sixth edition (March 2017), the physical data file for each year has been updated; a new cavity wall insulation variable, wins95x, has been added. In compliance with Building Regulations, an increasing proportion of dwellings built in 1991 or after with cavity walls had cavity wall insulation fitted at the time of construction (known as 'as built' insulation), although compliance could also be achieved through other techniques. The non-intrusive survey undertaken in the EHS would not always be able to identify as built insulation (though the surveyor might have found out from the occupant), so dwellings built in 1991 or after with cavity walls with no evidence of insulation in the survey have been assumed to be insulated. The category 'cavity walls with evidence of insulation' includes both dwellings with evidence of cavity wall insulation (e.g. drill holes or information from occupants) and those built in 2003 or after. A separate category identifies cavity walled dwellings built in 1991 or after where no evidence of cavity wall insulation was seen by the surveyors and where no assumptions have been made based on the construction date. This category therefore includes dwellings built in 1991 or after up to and including in 2002, with no evidence of CWI from the physical survey. For the 2014/15 Headline Report a new variable for cavity wall insulation was introduced (wins95x, which has been added to EHS physical files from 2007/8 onwards). From the submission of the 2015 data, wins95x will replace wins90x.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.