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.

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 Web site. This data collection provides information on representative samples of each of the 15 largest metropolitan areas across the United States, which are also included in the integrated national sample (available as ICPSR 36801). The metropolitan area sample also features representative samples of 10 additional metropolitan areas that are not present in the national sample. The U.S. Department of Housing and Urban Development (HUD) and the U.S. Census Bureau intend to survey the 15 largest metropolitan areas once every 2 years. To ensure the sample was representative of all housing units within each metro area, the U.S. Census Bureau stratified all housing units into one of the following categories: (1) A HUD-assisted unit (as of 2013); (2) Trailer or mobile home; (3) Owner-occupied and one unit in structure; (4) Owner-occupied and two or more units in structure; (5) Renter-occupied and one unit in structure; (6) Renter-occupied and two or more units in structure; (7) Vacant and one unit in structure; (8) Vacant and two or more units in structure; and (9) Other units, such as houseboats and recreational vehicles. 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, 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.

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.

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 eight separate parts: Part 1, Work Done Record (Replacement or Additions to the House), Part 2, Worker Record, Part 3, Mortgages (Owners Only), Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner Record (Renters Only), Part 6, Person Record, Part 7, Ratio Verification, and Part 8, Mover Group Record. 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: ICPSR, retrieved 06/28/2011)

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.

The purpose of the RHFS is to provide current and continuous measure of the financial health and property characteristics of single-family and multifamily rental housing properties in the United States. The survey provides information on the financing of single-family and multifamily rental housing properties with emphasis on new originations for purchase, refinancing, and loan terms associated with these originations. In addition, the survey includes information on property characteristics, such as number of units, amenities available, rental income and expenditure information. This survey was conducted in 2012 and will be conducted in 2015.

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

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.

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 metropolitan survey is conducted in even-numbered years, cycling through a set of 41 metropolitan areas, surveying each one about once every six years. This data collection provides information on the characteristics of a metropolitan sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units. The data are presented in eight separate parts: Part 1, Work Done Record (Replacement or Addition to the House), Part 2, Worker Record, Part 3, Mortgages (Owners Only), Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner Record (Renters Only), Part 6, Person Record, Part 7, Ratio Verification, and Part 8, Mover Group Record. 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: ICPSR, retrieved 06/28/2011)

The American Community Survey distributes downloadable data about United States communities. Download the 2006 microdata survey about housing for the state of Idaho using download.file() from here: https://d396qusza40orc.cloudfront.net/getdata%2Fdata%2Fss06pid.csv

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.

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).

The American Community Survey (ACS) 5 Year 2016-2020 housing estimate data is a subset of information derived from the following census tables:B25002 - Occupancy Status; B25009 - Tenure By Household Size;B25021 - Median Number Of Rooms By Tenure; B25024 - Units In Structure;B25032 - Tenure by Units In Structure; B25036 - Tenure By Year Structure Built;B25037 - Median Year Structure Built By Tenure; B25041 – Bedrooms;B25042 - Tenure By Bedrooms;B25056 - Contract Rent;B25058 - Median Contract Rent;B25068 - Bedrooms By Gross Rent;B25077 - Median Value;B25097 - Mortgage Status By Median Value (Dollars), and;B25123 - Tenure By Selected Physical And Financial Conditions.To learn more about the American Community Survey (ACS), and associated datasets visit: https://www.census.gov/programs-surveys/acs, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov.
Data Dictionary: DD_ACS 5-Year Housing Estimate Data by State Date of Coverage: 2016-2020

This data collection provides information on the characteristics of the housing inventory in 19 Standard Metropolitan Statistical Areas (SMSAs). Data include year the structure was built, type and number of living quarters, occupancy status, presence of commercial establishments on the property, presence of a garage, and property value. Additional data focus on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air conditioning equipment. Information about housing expenses includes mortgage or rent payments, utility costs, garbage collection fees, property insurance, and real estate taxes as well as repairs, additions, or alterations to the property. Similar data are provided for housing units previously occupied by respondents who had recently moved. Indicators of housing and neighborhood quality are also supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, presence of cracks or holes in walls, ceilings, or floor, reliability of plumbing and heating equipment, and concealed electrical wiring. The presence of storm doors and windows and insulation was also noted. Neighborhood quality variables indicate presence of and objection to street noise, odors, crime, litter, and rundown and abandoned structures, as well as the adequacy of street lighting, public transportation, public parks, schools, shopping facilities, and police and fire protection. In addition to housing characteristics, demographic data for household members are provided, including sex, age, race, income, marital status, and household relationship. Additional data are available for the household head, including Hispanic origin, length of residence, and travel-to-work information. (Source: downloaded from ICPSR 7/13/10)

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.

Abstract

The liberalized economic system in Armenia has led to a sharp growth in individual housing construction by individuals for their own use. High rates of individual housing construction may be observed in some geographic (regional) locations. However a lack of accurate administrative registers of licences for construction, the prevalence of some constructions (built without any license), create particular difficulties in producing reliable and comprehensive statistical data collection on individual housing construction.

In general, problems faced in collecting information about house construction may be separated in the following main groups: • incompleteness of indicators on volumes of individual housing construction by marz (region) breakdown, • introduction of the instruments being used in the international practice, taking into consideration peculiarities of the sphere, • lack of precise mechanisms for monitoring the process of individual housing construction, • expanding and improvement of the existing indicators set, • necessity of forming and updating of the individual housing construction register.

In this context, in order to improve the statistical accounting of house construction, it is important to conduct periodical surveys and by so doing to improve the instruments available, through the development and use of state statistical reporting forms, and to obtain some broad indicators of levels of activity in at least some regions of the Country.

Taking into account the above-mentioned, the main purpose of this survey was to improve statistics on individual housing construction. In particular, • ensuring the comparability of the statistical data on house construction with the methodologies and standards used in the international practice, • ensuring the comprehensiveness of the indicators by regional breakdown, • use of the sampling methods and improvements of their methodology in construction.

The survey results provide: - complete and reliable information on individual housing construction in some key regions, particularly studying structure and volumes of the buildings, - and increase in the quality of information, - to complement the database on house construction within the official statistics with new indicators, - a model for a register for newly built houses which can be used to monitor periodically the level housing construction activity.

The derived results enable NSSRA to improve and update its database, to expand its list of published indicators, to improve methodology, and to support more informed policy making by providing state and local selfgovernment bodies with key information.

Geographic coverage

National

Kind of data

Sample survey data [ssd]

Sampling procedure

There were two main approaches - entire and sampling - used for the conduct of the survey.

Lists of the licenses for individual housing construction, which had been given since 2005 by the state government body in the urban development, served as the main information source for the survey.

However there were, in some regions, serious inaccuracies and lack of availability of lists of licensed permits for individual house construction. These weaknesses, together with restrictions of available financial and human resources and the objective of receiving representative data, led to a concentration of survey resources in those regions where the individual housing construction is more prevalent and where reasonably up-to-date lists of licences are available. Yerevan and the following 4 marzes - Aragatsotn, Ararat, Armavir and Kotayk- were selected. The results of the survey therefore only apply to Yerevan and to these 4 marzes.

The licenses given for individual housing construction in Yerevan city were surveyed in their entirety, but in the other marzes - by the random sampling, considering the differences between the numbers of the mentioned licenses (from 100 to 640, meanwhile 100 - in Armavir, 136 - in Aragatsotn, 304 - in Ararat, 640 -in Kotayk), based on which the sample "steps" had been determined.

Overall there were 1330 licences granted, permitting individuals to construct a house for their own use. These were predominantly in Yerevan.

Although the survey was aimed at 1330 houses, it was foreseen to survey also those buildings under construction in the neighbourhood of the surveyed buildings, which were out of the list of the buildings to be surveyed.

Mode of data collection

Face-to-face [f2f]

Point Lay, Alaska, is experiencing some of the most severe ice-rich permafrost-related impacts of any place in the Arctic but has received relatively little research and agency attention. To address these issues, a housing survey was executed such that future housing strategies relevant to many arctic villages facing similar impacts could be developed. This housing survey was conducted in April 2022 and documents housing issues present in the Point Lay community. The survey form consists of a variety of questions regarding the following topics.: 1) Introduction 2) Population, 3) Housing characteristics, 4) Building condition, 5) Foundation 6) Stairs, Porch, Arctic Entry, 7) Outbuildings, and 8) Driveway and roads. Surveyors filled out forms for each house with information provided by the head of household; they also took photos after obtaining the homeowner’s permission.