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.

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This statistic shows the distribution of efficiency savings made by social housing associations in the United Kingdom (UK) in 2017, by measures taken. Approximately 80 percent of social housing associations implemented new technology in order to make efficient savings. A further 86 percent have said they will make further cost savings in order to save more efficiently.

• 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 9240: Continuous Recording of Social Housing Sales (CORE):

This study contains the SL-level CORE Sales data only. The SL CORE Lettings data are held under SN 9239.

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This statistic shows the share of social housing associations in the United Kingdom (UK) expecting welfare reform changes to have a meaningful impact on their businesses from 2013 to 2019. During the whole period, more than 80 percent of housing associations representatives were convinced that welfare reforms have meaningful impact on their business.

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 *

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)

Impact of the reclassification of housing associations into the public sector for England and devolved administrations of Northern Ireland, Scotland and Wales. Financial year ending March 2009 to present.

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.​

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Analysis of plots from the BRK that are owned by housing associations. List of housing corporations in South Holland comes from www.woningcorporaties.nl.

The proportion of apartments owned by state-owned housing associations in the housing stock for 2017 is shown at the level of the forecast areas. In 2017, the six state-owned housing associations accounted for 16.2% of the Berlin housing stock. In 16 forecast areas, the urban housing stock was below 5%. Ten forecast areas showed more than 30% urban housing stock. The highest shares of urban housing stocks can be found in the forecast areas of Buch (43.8%), Hohenschönhausen North (52.2%) and CW 1 (47.2%).

In 2022, the majority of housing associations representatives surveyed in the United Kingdom (UK) expected that salaries in the social housing sector will increase by three percent or more. Additionally, 30 percent of respondents shared that salaries are likely to be increased by two percent.

United Kingdom Dwellings Started: N Ireland: Housing Associations data was reported at 310.000 Unit in Jun 2018. This records an increase from the previous number of 200.000 Unit for Mar 2018. United Kingdom Dwellings Started: N Ireland: Housing Associations data is updated quarterly, averaging 170.000 Unit from Mar 1978 (Median) to Jun 2018, with 157 observations. The data reached an all-time high of 1,040.000 Unit in Mar 1999 and a record low of 10.000 Unit in Mar 1980. United Kingdom Dwellings Started: N Ireland: Housing Associations data remains active status in CEIC and is reported by Ministry of Housing, Communities and Local Government . The data is categorized under Global Database’s United Kingdom – Table UK.EB001: Dwellings Started.