This data collection provides information on the characteristics of the housing inventory in 15 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. Extensive information on the ability of handicapped persons to move around their homes is also provided. Respondents were asked if they needed special equipment to move around, or the help of another person. They were also asked about the presence or need for housing features to aid their movement, such as ramps, braille lettering, elevators, and extra wide doors. 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)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR08285.v1. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

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. Supplements provide information on second homes, mobility, and energy assistance.

This data collection contains information from samples of housing units in 11 Metropolitan Statistical Areas (MSAs). Data include year the structure was built, type and number of living quarters, occupancy status, presence of commercial or medical establishments on the property, 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. Questions concerning quality of housing include condition of walls and floors, adequacy of heat in winter, availability of electrical outlets, basement and roof water leakage, and exterminator service for mice or rats. Data on housing expenses include amount of mortgage or rent payments and costs of utilities, fuel, garbage collection, property insurance, and real estate taxes. Respondents who had moved recently were questioned about characteristics of the previous residence and reasons for moving. Residents were also asked to evaluate the quality of their neighborhoods with respect to such issues as crime, street noise, quality of roads, commercial activities, presence of trash, litter, abandoned structures or offensive odors, and adequacy of services such as police protection, shopping facilities, and schools. In addition to housing characteristics, some demographic information is provided on household members, such as age, sex, race, marital status, income, and relationship to householder. Additional data are available on the householder, including years of school completed, Spanish origin, and length of residence. (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/ICPSR09092.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Housing survey results for Georgetown, TX conducted by FlashVote

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.

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 ten 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, Ratio Verification, Part 8, Mover Group Record, Part 9, Recodes (One Record per Housing Unit), and Part 10, 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: ICPSR, retrieved 06/28/2011)

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.

The English Housing Survey, 2016-2017: Household Data comprises the derived interview data 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. General topics and concepts covered include household characteristics, satisfaction with the home and the area, disability and adaptations to the home, ownership and rental details and income details.

The household data should be used for any analysis where only information from the household interview is required. Users who also require data from the physical survey should use the English Housing Survey, 2016: Housing Stock Data (SN 8350).


Main Topics:

The main topics covered include: general tenure and demographics; household income and housing costs; housing needs; housing aspirations and satisfaction; housing moves; and vulnerable and disadvantaged households.

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 is the first detailed report of findings relating to the housing stock from the English housing survey, and builds on results reported in the ‘English housing survey 2008 to 2009: headline report’ published in February 2010 (available on the National Archive).

The ‘English housing survey 2008 to 2009: household report’ was also published on 27 October 2010.

The main findings of the report are:

• in 2008 there were around 22.2 million dwellings in England; over 1 in 5 (21%) were built before 1919
• since 2001 there has been a significant reduction in the amount of disrepair in the stock; private-rented dwellings, converted flats and dwellings in city centres improved most; however the average repair costs for these groups of dwellings were still higher than for other groups in 2008
• the energy efficiency (SAP) rating of the housing stock steadily improved from a mean of 42 SAP points in 1996 to 51 in 2008
• the carbon dioxide (CO2) emissions associated with heating and lighting the home averaged 6.3 tonnes per year for each dwelling in 2008; the social sector accounted for only 11% of the total CO2 emissions associated with heating and lighting
• following the Energy Performance Certificate methodology, the survey estimated that 20.1 million dwellings could benefit from one or more cost-effective improvement measures, such as loft and cavity wall insulation, upgraded boilers and heating controls
• if all these improvements were carried out, the mean SAP rating would increase by more than 11 points and, potentially, CO2 emissions for heating and lighting the home could fall by 26%

Errata

An errata was published on 19 January 2011. This note presents revisions made to data published in the ‘English housing survey 2008: housing stock report’.

Abstract copyright UK Data Service and data collection copyright owner.

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 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 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.

End User Licence and Special Licence Versions:
From 2014 data onwards, the End User Licence (EUL) versions of the EHS only include derived variables. In addition the number of variables on the EUL datasets from that date has been reduced and disclosure control increased on certain remaining variables. The new Special Licence versions of the EHS, which are subject to more restrictive access conditions, are of a similar nature to EHS EUL datasets prior to 2014 and include both 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.

The English Housing Survey, 2014-2015: Household Data: Special Licence Access comprises both the raw and derived interview data for all cases where an interview has been completed (as opposed to the EUL version held under SN 8009, which includes only derived data). 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. General topics and concepts covered include household characteristics, satisfaction with the home and the area, disability and adaptations to the home, ownership and rental details and income details. Users are advised to obtain SN 8009 to see whether it is suitable for their needs before making an application for the Special Licence version.

The household data should be used for any analysis where only information from the household interview is required. Users who also require data from the physical survey should use the English Housing Survey, 2014: Housing Stock Data EUL or Special Licence versions (SNs 8010 and 8068 respectively).

Market Value Survey

Market Value Survey data for 2015 are available in the Special Licence access housing stock data at SN 8068, and these should be analysed according to the guidance given in the documentation for SN 8068.

For the second edition (December 2016), a new user guide was added to the documentation.

Main Topics:

The main topics covered include: general tenure and demographics; household income and housing costs; housing needs; housing aspirations and satisfaction; housing moves; and vulnerable and disadvantaged households.

Abstract copyright UK Data Service and data collection copyright owner.

The English Housing Survey 2008-2009 Household Data Teaching Dataset is based on the English Housing Survey, 2008-2009: Household Data (available from the UK Data Archive under SN 6613) and constitutes real data which are used by the Department for Communities and Local Government and are behind many headlines. The teaching dataset is a subset which has been subjected to certain simplifications and additions for the purpose of learning and teaching.

The main differences are:

• the number of variables has been reduced
• weighting has been simplified
• a reduced codebook is provided

Further information is available in the study documentation (below) which includes a dataset user guide. Information about other teaching resources can be found on the Teaching resources webpage.



Main Topics:

The main topics covered are:

• housing characteristics
• household characteristics
• satisfaction with the home and local area

This CD-ROM contains software that permits users to create their own tabulations from the 2001 American Housing Survey microdata. Data files include statistics on the physical and economic characteristics of housing from the 2001 American Housing Survey. Data include year structure built, type and number of living quarters, occupancy status, number of rooms, and property value. Additional data focus on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposa l, heating and air-conditioning equipment, and major additions, alterations, or repairs made to the property. Also furnished is data relating to housing expenses including monthly mortgage or rent payments, utility costs, property insurance costs, and the amount of real estate taxes paid. 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.

Abstract

The Kenya National Housing Survey (KNHS) was carried out in 2012 to 2013 in 44 counties of the Republic of Kenya. It was undertaken through the NASSEP (V) sampling frame. The objectives of the 2012/2013 KNHS were to: improve the base of housing statistics and information knowledge, provide a basis for future periodic monitoring of the housing sector, facilitate periodic housing policy review and implementation, assess housing needs and track progress of the National Housing. Production goals as stipulated in the Kenya Vision 2030 and its first and second Medium Term Plan, provide a basis for specific programmatic interventions in the housing sector particularly the basis for subsequent Medium Term frameworks for the Kenya Vision2030; and facilitate reporting on the attainment of the Millennium Development Goals (MDG) goals particularly goal 7, target 11.

The 2012/2013 KNHS targeted different players in the housing sector including renters and owner occupiers, housing financiers, home builders/developers, housing regulators and housing professionals. Whereas a census was conducted among regulators and financiers, a sample survey was conducted on renters and owner occupiers, home builders/developers and housing professionals. To cover renters and owner occupiers, the survey was implemented on a representative sample of households - National Sample Survey and Evaluation Program V (NASSEP V) frame which is a household-based sampling frame developed and maintained by KNBS - drawn from 44 counties in the country, in both rural and urban areas. Three counties namely Wajir, Garissa and Mandera were not covered because the household-based sampling frame had not been created in the region by the time of the survey due to insecurity.

Considering that the last Housing Survey was carried out in 1983, it is expected that this report will be a useful source of information to policy makers, academicians and other stakeholders. It is also important to note that this is a basic report and therefore there is room for further research and analysis of various chapters in the report. This, coupled with regularly carrying out surveys, will enrich the data available in the sector which in turn will facilitate planning within the government and the business community.

One of the main challenges faced during the survey process was insufficient information during data collection. This could serve as a wake-up call to all county governments on the need to keep proper records on such issues like the number of housing plans they approve, housing finance institutions within their counties, the number of houses that are built within the county each year and so on since they have the machinery all the way to sub-location level.

Geographic coverage

The survey covered all the districts in Kenya. The data representativeness are at the following levels -National -Urban/Rural -Provincial -District

Analysis unit

• Households
• Indviduals

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame utilized in the renters and owner occupiers and home builders/ developers was the current National Sample Survey and Evaluation Program V (NASSEP V) frame which is a household based sampling frame developed and maintained by KNBS. During the 2009 population and housing census, each sub-location was subdivided into approximately 96,000 census Enumeration Areas (EAs).

In cognizance of the devolved system of government and the need to have a static system of administrative boundaries, NASSEP V utilizes the county boundaries. The frame was implemented using a multi-tiered structure, in which a set of 4 sub-samples were developed. It is based on the list of EAs from the 2009 Kenya Population and Housing Census. The frame is stratified according to county and further into rural and urban areas. Each of the sub-samples is representative at county and at national (i.e. urban/rural) level and contains 1,340 clusters. NASSEP V was developed using a two-stage stratified cluster sampling format with the first stage involving selection of Primary Sampling Units (PSUs) which were the EAs using Probability Proportional to Size (PPS) method. The second stage involved the selection of households for various surveys.

2012/2013 KNHS utilized all the clusters in C2 sub-sample of the NASSEP V frame excluding Wajir, Garissa and Mandera counties. The target for the household component of the survey was to obtain approximately 19,140 completed household interviews.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

The survey implemented a Paper and Pencil Interviewer (PAPI) technology administered by trained enumerators while data entry was decentralised to collection teams with a supervisor. Data was keyed from twelve (12) questionnaires namely household based questionnaire for renters, owner occupier and home builders, building financiers such as banks and SACCOs, building professionals such as architects, valuers etc., institutional questionnaires covering Local Authorities, Lands department, Ministry of Housing, National Environmental Management Authority, Physical Planning department and, Water and Sewerage Service providers and housing developers. Each of these questionnaires was keyed individually.

The data processing of the 2012/13 Kenya National Housing Survey results started by developing data capture application for the various questionnaires using CSPro software. Quality of the developed screens was informed by the results derived from 2012/2013 KNHS pilot survey. Every county data collection team had a trained data entry operator and two data analysts were responsible for ensuring data was submitted daily by the trained data entry operators. They also cross-checked the accuracy of submitted data by doing predetermined frequencies of key questions. The data entry operators were informed of detected errors for them to re-enter or ask the data collection team to verify the information.

Data entry was done concurrently with data collection therefore guaranteeing fast detection and correction of errors/inconsistencies. Data capture screens incorporated inbuilt quality control checks triggered in case of invalid entry. Such checks were necessary to guarantee minimal data errors that would be removed during the validation stage (data cleaning).

In data cleaning, a team comprising subject-matter specialists developed editing specifications which were programmed to cross-check raw data for errors and inconsistencies. The printed log file was evaluated with a view to fixing errors and inconsistencies found. Further on, they also developed data tabulation plans to be used on the final datasets and cross checked tabulated outputs were used in writing the survey basic report.

Unfinished Housing Survey for 2012. Each polygon represents a surveyed housing development which was deemed to be either a 'Substantially Complete Development' or an 'Unfinished Development'.

This data is also available on the MyPlan map viewer at http://www.myplan.ie/viewer/

🇬🇧 영국

The English Housing Survey (EHS ) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The 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.

End User Licence and Special Licence Versions
Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the End User Licence version first to see whether it meeds their needs, before making an application for the Special Licence version.

Fuel Poverty Dataset

The fuel poverty dataset is comprised of fuel poverty variables derived from the English Housing Survey (EHS), and a number of EHS variables commonly used in fuel poverty reporting. The fieldwork for the EHS is carried out each financial year (between April and March). The fuel poverty datasets combine data from two consecutive financial years. Full information on the EHS survey is available at the MHCLG EHS website and further information on Fuel Poverty and the EHS can be sought from FuelPoverty@beis.gov.uk and ehs@communities.gov.uk respectively. Guidance on use of EHS data provided by MHCLG should also be applied to the fuel poverty dataset.