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.

This dataset relates to a study project on social housing in Kinshasa (DRC). A survey was conducted to determine the interest of the population of Kinshasa in the development of low-cost social housing. The objective of the study was to collect information from the population on the needs for low-cost housing in order to propose solutions to the various housing problems identified during the survey.

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.

The Public-Use Microdata File (PUMF) for the Canadian Housing Survey (CHS) provides information on core housing need, dwelling characteristics and housing tenure, perceptions on economic hardship from housing costs, dwelling and neighbourhood satisfaction, housing moves and intentions to move, community engagement, life and community satisfaction and socio-demographic characteristics. The production of this file includes many safeguards to prevent the identification of any one person or household.

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.

Detailed findings from the English Housing Survey on people's housing circumstances.

Source agency: Communities and Local Government

Designation: National Statistics

Language: English

Alternative title: EHS Households Report

The table AHS 2017 national Public Use File is part of the dataset US Census Bureau American Housing Survey, available at https://redivis.com/datasets/keas-1k2pqhgfs. It contains 66752 rows across 3180 variables.

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 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.

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.

State and local government officials are asked their opinions about federal housing policy as part of the Housing Policy Review ordered by the President.

Questions include priorities of federal housing program, most serious local and state housing problems, likes and dislikes with HUD home ownership and rental assistance programs, and changes to federal housing policy they would like to see.

This dataset includes Statistics Canada table 46-10-0043-01, titled “Housing suitability and dwelling condition, by tenure including social and affordable housing”. The table includes information on dwelling condition and suitability by tenure. The tenure category of 'renter' is split up into "renter not in social and affordable housing" and "renter in social and affordable housing". The table has been edited to include only geographies from British Columbia. The table is available in CSV and Excel Workbook format. Definitions and notes are included at the bottom of the spreadsheet. This data set was collected as part of the Canadian Housing Survey by Statistics Canada. Geographies: British Columbia, Large urban population centres, British Columbia, Medium population centres, British Columbia, Small population centres, British Columbia, Rural areas, British Columbia, Vancouver, Census Metropolitan Area, Other census metropolitan areas, British Columbia, Census agglomerations, British Columbia

This special survey is on the field housing and consists of the standard questions from the extended housing survey and the focal point housing questions. There are questions on the usage of fuel, the existence of motor vehicles as well as information on the existence of parking spaces in garages or a car park. Moreover, interviewees are asked about the location of their apartment and the existence of an elevator in their house. It is also evaluated whether rented apartments are sublet freehold flats. The Mikrozensus special program form September 1993 was already on the topic housing questions. Due to the high demand for apartments and the need for information on it, it was important to repeat the question program after a short time to have up-to-date information on house hunters, and changes of residence which sheds light on the housing market. The first part of the survey contains questions on housing quality and satisfaction which are important since the demand for apartments which offer more than the classic equipment features especially concerning housing quality and infrastructure is increasing. The objective and subjective evaluation of the residential area was also part of the question block. The second part of the survey contains questions on the duration of the rent (as well as the date and the conditions at the time the interviewee moved in), fixed-term tenancy agreements and detailed characteristics of the house hunt. The last part consists of questions on previous changes of residence within the last 5 years.

This data collection provides information on the characteristics of the housing inventory in 18 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, real estate taxes, and 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 including sex, age, race, Hispanic origin, and length of residence, are available for the household head. The number of persons living in the household is also provided.

A survey of the design quality, as measured by CABE Building For Life criteria, of affordable housing in England, commissioned by the Homes and Communities Agency. Source agency: Communities and Local Government Designation: Official Statistics not designated as National Statistics Language: English Alternative title: HCA survey

The CHS is a new survey sponsored by Canada Mortgage and Housing Corporation (CMHC) that will run biennially until 2028 in every province and territory. The survey will collect new information on dwelling and neighbourhood satisfaction, first-time homebuyers and housing affordability, as well as many other important dwelling and household characteristics. The CHS also fills a significant data gap on Social and Affordable Housing (SAH) that was identified in the 2016 "Let's Talk Housing" national consultations held by CMHC. Data from the survey will help better measure whether Canadians have housing that meets their needs and that they can afford. The data will also provide more information to make program and policy development decisions related to housing.

This dataset includes Statistics Canada table 46-10-0024-01, titled “Dwelling and neighbourhood satisfaction, by tenure including social and affordable housing and structural type of dwelling”. The table includes information on satisfaction with housing by tenure, condominium status, and structural type of dwelling. One of the tenure categories is renters in social and affordable housing. The table has been edited to include only geographies from British Columbia. The table is available in CSV and Excel Workbook format. Definitions and notes are included at the bottom of the spreadsheet. This data set was collected as part of the Canadian Housing Survey by Statistics Canada. Geographies: British Columbia, Large urban population centres, British Columbia, Medium population centres, British Columbia, Small population centres, British Columbia, Rural areas, British Columbia, Vancouver, British Columbia, Other census metropolitan areas, British Columbia, Census agglomerations, British Columbia