Following large transfers of Social Housing stock from the Public Sector over the past twenty years, Housing Associations are now the major provider of social housing in the UK. The largest own thousands of houses but at the other end of the scale are very small organisations such as ancient Almshouse Charities, each owning a cottage or two and overseen by a part time Chairman or a Secretary.

The legal status and ownership of Housing Associations and Trusts is often complex. In some instances, a single management team may manage two or more Housing Associations which are distinct legal entities, for example one Charitable and one non-Charitable.

Housing Associations vary in the scope of their operations. The largest may cater for all types of tenants requiring public housing, whilst many of the smaller ones may cater for specific groups, for example, elderly residents of a certain parish or retired miners. The YMCAs and Foyers provide housing accommodation for single young people whilst the Abbeyfield Societies are voluntary bodies providing sheltered accommodation or nursing homes for the elderly.

How the data is organised:

Parent/Subsidiary Organisations - Housing Associations are regularly merging and renaming themselves. They are often managed in complex groups, with parent and subsidiaries organisations, some sharing their corporate management. Where there is a shared management team across a group, we list these contacts at the group organisation and not against each subsidiary, in order to avoid duplication.

Principal Contact - One person at each Association is identified as the "Chief Officer". In larger organisations this will normally be the Chief Executive or Director. In smaller Associations, it may be the Secretary or occasionally the Chairman, as requested by each organisation.

Job Functions - In addition to the Chief Officers we list a large number of other management posts. Due to the variety of job titles among Associations, we categorise by job function to identify responsibilities.

Units Owned/Managed - As well as recording the organisational structures, we also record the number of "units" each organisation owns/manages. "Units" can be anything from a detached house to a flat or a room or bed space in a nursing home or hostel.

Comprehensive dataset of 8 Housing associations in Oregon, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 14 Housing associations in Louisiana, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 27 Housing associations in Minnesota, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

• The CORE lettings data include information on the characteristics of both private registered providers and local authority new social housing tenants and the homes they rent. For each year, data is structured into four datasets based on type of letting (social rent general needs and supported needs, and affordable rent general needs and supported needs). It is a regulatory requirement for providers registered with the Homes and Communities Agency to supply the data. For those who are not registered, submissions are voluntary. Local authorities have participated in CORE since 2004-5 on a voluntary basis. Weighting is applied to adjust for non-response by local authorities for social rent datasets, and imputation is also carried out to address item-level non-response of key data on tenant characteristics for both local authorities and privately registered providers. The three datasets for affordable rent are not weighted or imputed.
• The CORE sales data include information on sales of local authority dwellings and some summary details on sales of registered provider stock (previously known as Registered Social Landlords or housing associations). Collecting these data allows for a better understanding of the socio-economic and demographic make-up of affordable housing customers and local housing markets and products. The sales dataset is imputed, with more information on the imputations within the data dictionary.

• For the standard End User Licence (EUL) version (SNs 9237 and 9238), the geographic level of the data is set at Government Office Region (GOR). Letting and voiding dates are provided at month and year only; age variables are top-coded at 90 years; income, benefits, earnings, charge and shortfall variables are banded to disguise unique values; landlords are grouped into coded categories.
• For the Special Licence access (SL) version (SNs 9239 and 9240), geographic level is set at Local Authority. The SL data have more restrictive access conditions than those made available under the standard EUL. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version.
• For Secure Access (SNs 9241 and 9242), the full CORE datasets are available, with some key variables recoded. Prospective users of the Secure Access version will need to fulfil additional requirements, including completion of face-to-face training and agreement to further stringent access conditions.

SN 9239: Continuous Recording of Social Housing Lettings (CORE): Special Licence Access:

This study contains the SL-level CORE Lettings data only. The SL CORE Sales data are held under SN 9240.

This data is now managed by the Tenants Service Authority. The four PI files consist of: a. Housing management (including re-let levels and rent arrears) b. Asset condition (Decent Home Standard compliance, SAP rating and voids) c. General needs tenant satisfaction measures d. Shared owners (satisfaction measures)

Comprehensive dataset of 8 Housing associations in Connecticut, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This is data on the current status of local housing association projects in Gangwon Special Self-Governing Province. * Some values are provided as blank due to differences in the data format registered before and after the revision of laws related to local housing associations *

Comprehensive dataset of 26 Housing associations in Michigan, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Amount charged by Registered Social Landlord (Private Registered Provider (PRP)) Average Weekly Rents for social housing.

Data is collected by the Housing Corporation via the annual Regulatory and Statistical Return (RSR) based on general needs stock only.

Figures are based on only the larger Registered Social Landlords (RSLs) completing the long form. Upto 2006 the threshold for completing the long form was that the RSL owned/ managed at least 250 units/bedspaces. From 2007 this increased to 1,000 units/bedspaces.

The districts, unitary authorities and counties listed above are based on 1 April 1998 boundaries. Figures for any 'new' re-organised areas have been estimated retrospectively applying the new boundaries back to 1997 and making appropriate assumptions.

Note that the average RSL rents within a local authority area can move down from one year to the next. This is especially true if, during the latest year, most of the LA stock has been transferred through a large-scale voluntary transfer to the RSL sector.

Larger housing associations report the rent they charge in the HCA’s Statistical Data Return.

Data in spreadsheet includes average weekly rents for housing association general needs properties by number of bedrooms, in London by borough (stock owned by larger associations only).

This data on empty homes is presented in two sections: our original data is provided for the whole of England, collated from local authority returns to the Department of Communities and Local Government (DCLG) for 2010 to 2014. Re-formatting the data and releasing it locally helps us see and use the data locally to monitor this issue - especially useful in an area of high housing pressure.Our second section of empty homes data, published in 2019, is presented under six side-headings, with one line of data for the whole of England followed by data for our eight Housing Board districts only, rather than districts across the whole country. The data comes from returns made to the Government and is simply re-presented to make it easier to use locally, and slightly more accessible.The 2019 data comes from a variety of government returns which can be found on the MHCLG web pages; is provided for 2004 to 2017, and is broken down into All vacants All long-term vacants Local authority owned vacants Private registered provider vacants (aka housing associations) Private registered provider long tem vacants (aka housing associations) ​Other public sector vacants (discontinued in 2015, so no values in 2016 or 2017). Notes are provided in the data dictionary for each dataset, setting out further detail.​

This is the current status data of housing cooperatives located in Buk-gu, Gwangju Metropolitan City. The name of the local housing cooperative, business location (based on the address), floor (the number of floors and buildings above and below ground of the apartment building), number of households, number of cooperative members, recruitment report (date of recruitment report), establishment approval (date of establishment approval), business approval (date of business approval), commencement (date of commencement), use inspection (date of use inspection), dissolution approval (date of dissolution approval), and other information are provided as a CSV file through the public data portal. * The names of some housing cooperatives that have not yet been approved for establishment are indicated as tentative names.

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, 2021: 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, 2021-2022: Household Data.

Due to changes to the methodology in response to the Covid-19 pandemic, both the achieved full interview (household) and dwelling (stock) samples in 2020-21 were smaller than in a normal year, at 7,474 households and 5,228 dwellings respectively. Vacant dwellings were not surveyed in 2021-22 because social distancing restrictions prevented interviewers from visiting the sampled addresses to identify them. Further details about the key changes made in response to the COVID-19 pandemic are included in the Technical Report available as part of the study documentation.

Comprehensive dataset containing 18 verified Housing association businesses in Colorado, United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset of 29 Housing associations in Indiana, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.