Data from the Birmingham City Council Housing team on council owned social housing stock.Data is provided at individual property level and shows the following property attributes;Heating typeConstruction dateAgeProperty typeOccupancy statusOwnerNumber of BedroomsSheltered typeArchitectureAffordable housingWard level geographic locationConstituency locationThe location for use in our mapping application will display the Ward.Data is updated weekly.

Selected demographic, social, economic, and housing estimates data by community district/PUMA (Public Use Micro Data Sample Area). Three year estimates of population data from the Census Bureau's American Community Survey

This dataset contains data from reporting years 2023 & 2024 and is therefore indicative of allocations and lets within the Stirling Council area, rather than an as is indicator. The Allocation Area boundaries are defined by the intersection of Stirling Council properties and postcode geographies (as defined by The National Records of Scotland Scottish Postcode Directory Scottish Postcode Directory (SPD) | National Records of Scotland (nrscotland.gov.uk) )Schema;Allocation Area Number,Allocation Area Name, Property Types and Numbers,Properties by Bedrooms, Percentage Turnover of Lets, and the number of Properties Let in period.

This data set includes data from two sources, agragated for communities in Poland. Data from Bank of Local Data (Bank Danych Lokalnych http://www.stat.gov.pl/bdl/app/strona.html?p_name=indeks) includes: number of dwellings in teritorial unit in 1995, 2002, 2009 and number of council flats in the same periods. Number of households and number of housholds living without other households in the same flat in 2002 are taken from Polish Census of 2002. Additionally this data set includes data about vacant houses in 2002. This is English version of this dataset:http://figshare.com/articles/Dane_o_mieszkalnictwie_komunalnym_w_Polsce/997227

The NYC Department of City Planning’s (DCP) Housing Database contains all NYC Department of Buildings (DOB) approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. It includes the three primary construction job types that add or remove residential units: new buildings, major alterations, and demolitions, and can be used to determine the change in legal housing units across time and space. Records in the Housing Database Project-Level Files are geocoded to the greatest level of precision possible, subject to numerous quality assurance and control checks, recoded for usability, and joined to other housing data sources relevant to city planners and analysts. Data are updated semiannually, at the end of the second and fourth quarters of each year. Please see DCP’s annual Housing Production Snapshot summarizing findings from the 21Q4 data release here. Additional Housing and Economic analyses are also available. The NYC Department of City Planning’s (DCP) Housing Database Unit Change Summary Files provide the net change in Class A housing units since 2010, and the count of units pending completion for commonly used political and statistical boundaries (Census Block, Census Tract, City Council district, Community District, Community District Tabulation Area (CDTA), Neighborhood Tabulation Area (NTA). These tables are aggregated from the DCP Housing Database Project-Level Files, which is derived from Department of Buildings (DOB) approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. Net housing unit change is calculated as the sum of all three construction job types that add or remove residential units: new buildings, major alterations, and demolitions. These files can be used to determine the change in legal housing units across time and space.

Housing Voids 2025 2028 FCC. Published by Fingal County Council. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This is a listing of the number of Council Houses that are with the Architects Department for Refitting or Refurbishment and Scheme Work to be done. Updated with Voids (stock off the system) in housing...

Abstract copyright UK Data Service and data collection copyright owner.

The COntinuous REcording of Lettings and Sales (CORE) is a national information source that provides annual official statistics on new lettings and sales of social housing stock. All datasets are based on administrative data collected via the government's CORE system.

• 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.

The CORE data are used by central government to inform national housing policy and by local government to inform their Strategic Housing Market Assessments. The data are also used by academics, researchers, charities and the wider public to understand social housing issues. Further information may be found on the GOV.UK Social housing lettings and Social housing sales webpages.
Users should note that the Lettings and Sales data are now held in separate datasets at each access level (see below). Previously, they were held in combined studies, SNs 7603, 7604 and 7686, which have now been withdrawn.
End User Licence, Special Licence and Secure Access datasets The CORE datasets are available at three access levels, depending on the level of detail in the data.

• 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 9238: Continuous Recording of Social Housing Sales (CORE):

This study contains the EUL-level CORE Sales data only. The EUL CORE Lettings data are held under SN 9238.

Main Topics:

The following topics are covered:

• Lettings data: tenant income; tenant benefits; household demographics (including economic status, nationality, etc.); number of affordable or social lettings; reason for requiring social housing; void periods/ number of times offered; rent and other charges; Reasonable Preference Group (including homelessness status); size and type of property.
• Sales data: number of private registered providers of social housing (PRP) sales; type of sale; household demographics; size of property; type of property; tenant income; financial characteristics of sale (mortgage, % discount, equity, etc.); reason for leaving last home; location of new housing; whether served in the Armed Forces.

This dataset contains responses to the question: In the tenant’s view what was the main reason the household left their last settled home?

These data are for new social housing lettings at the local authority area level, and are derived from record level data recorded through the COntinous REcording of social housing lettings. They cover new General Needs lettings, at social rent levels, owned by Local Authorities (LAs). All figures are unweighted and are therefore not fully consistent with the weighted social rent data at national level in the 'Social Housing Lettings in England' statistical release.

Some Local Authority areas are missing from the Local Authority owned datasets due to there being either no LA owned lettings in that area, or there being too few lettings in an area for the data to be released, as it is deemed disclosive.

Data are given for the tenant’s reason for housing, as reported by the tenant. Some categories have been combined into ‘Other’ for disclosure purposes due to their sensitive nature and/or risk of re-identification.

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.

Taichung City Social Housing Site Numbers and Area Table Data

Datasets present number of household members residing in Public Housing (PH) and State Owned and Managed Indigenous Housing (SOMIH) across Local Government Areas (LGAs) in South Australia as at 30 June. PH and SOMIH refers to dwellings owned and managed by the SA Housing Authority. These rentals are accessed by those on low income and/or with special needs. Strategies have been employed to mitigate the risk of releasing any identifying data, which may occur in smaller areas. Data specifications of measures and data quality statements for these files are maintained by the Australian Institute of Health and Welfare (AIHW) and available in their metadata online registry (METEOR), see https://meteor.aihw.gov.au/content/711016 and https://meteor.aihw.gov.au/content/749351 .

Data is from the United States' Census Bureau's American Community Survey. The American Community Survey (ACS) is an ongoing survey that provides vital information on a yearly basis about our nation and its people. Information from the survey generates data that help determine how more than $675 billion in federal and state funds are distributed each year.

  Through the ACS, we know more about jobs and occupations, educational attainment, veterans, whether people own or rent their homes, and other topics. Public officials, planners, and entrepreneurs use this information to assess the past and plan the future. When you respond to the ACS, you are doing your part to help your community plan for hospitals and schools, support school lunch programs, improve emergency services, build bridges, and inform businesses looking to add jobs and expand to new markets, and more.

Data Profiles have the most frequently requested social, economic, housing, and demographic data. Each of these four subject areas is a separate data profile. The data profiles summarize the data for a single geographic area, both numbers and percent, to cover the most basic data on all topics.

This dataset comprises point data providing location details of all council owned residential dwellings within Bristol.

Birmingham City Council owned and managed social housing aggregated to Lower Super Output Areas ( http://en.wikipedia.org/wiki/ONS_coding_system ) to release more information that is captured in the Housing IT system. The aggregation of data is an automatic process that is intended to be used on many datasets. Therefore some of the data in this file results in a lot of columns in the CSV often counting by data attribute types. The whole of the data per property is aggregated to a Lower Super Output Area. Date fields are counted, number fields are totaled, averaged and have a minimum and maximum number. All textual fields are counted based on the number of attribute types. This file covers: * rents * insulation * smoke alarms * heating types * property types * construction types * number of floors * council tax bands * number of bedrooms The full list of columns in the file are as follows: 1. Lower Super Output Area (KeyField) 1. Average Rent per month (BASIC_RENT_VAL_avg) 1. Number of Properties (BASIC_RENT_VAL_count) 1. Max Rent (BASIC_RENT_VAL_max) 1. Min Rent (BASIC_RENT_VAL_min) 1. Sum of Rent (BASIC_RENT_VAL_tot) 1. Number of bedrooms not recorded (BEDROOMS_0) 1. Total of 1 Bedroom properties (BEDROOMS_1) 1. Total of 2 Bedroom properties (BEDROOMS_2) 1. Total of 3 Bedroom properties (BEDROOMS_3) 1. Total of 4 Bedroom properties (BEDROOMS_4) 1. Total of 5 Bedroom properties (BEDROOMS_5) 1. Total of 6 Bedroom properties (BEDROOMS_6) 1. Average number of bedrooms per area (BEDROOMS_avg) 1. Count of properties with bedrooms (BEDROOMS_count) 1. Max number of bedrooms (BEDROOMS_max) 1. Min number of bedrooms (BEDROOMS_min) 1. Bedrooms info not collected (BEDROOMS_null) 1. Total bedrooms (BEDROOMS_tot) 1. Constructed - Airey (BUILDER_AIREY) 1. Constructed - Bimingham Low Rise (BUILDER_BHAM_LRISE) 1. Constructed - BISF (BUILDER_BISF) 1. Constructed - Bison (BUILDER_BISON) 1. Constructed - Bryant (BUILDER_BRYANT) 1. Constructed - Bryant LR (BUILDER_BRYANT_LR) 1. Constructed - Con Block (BUILDER_CON_BLOCK) 1. Constructed - Cornish (BUILDER_CORNISH) 1. Constructed - Dorlonco (BUILDER_DORLONCO) 1. Constructed - Frame Grid (BUILDER_FRAM_GRD) 1. Constructed - Frame Form (BUILDER_FRAME_FORM) 1. Constructed - HDC (BUILDER_HDC) 1. Constructed - HSD (BUILDER_HSD) 1. Constructed - ISEC (BUILDER_ISEC) 1. Constructed - LAING (BUILDER_LAING_EASI) 1. Constructed - Metratrim (BUILDER_METRATRIM) 1. Constructed - Modulow (BUILDER_MODULOW) 1. Constructed - Mowlem (BUILDER_MOWLEM) 1. Constructed - No Fines (BUILDER_NO_FINES) 1. Constructed - Not recorded (BUILDER_null) 1. Constructed - Orlit (BUILDER_ORLIT) 1. Constructed - Permanent (BUILDER_PERMANENT) 1. Constructed - Phoenix (BUILDER_PHOENIX) 1. Constructed - Phorium (BUILDER_PHORIUM) 1. Constructed - Purpose (BUILDER_PURPOSE) 1. Constructed - Quickbuild (BUILDER_QUICKBUILD) 1. Constructed - Rational (BUILDER_RATIONAL) 1. Constructed - Rigidframe (BUILDER_RIGIDFRAME) 1. Constructed - Rigidsteel (BUILDER_RIGIDSTEEL) 1. Constructed - Rileyform (BUILDER_RILEYFORM) 1. Constructed - Smiths (BUILDER_SMITHS) 1. Constructed - Spooner (BUILDER_SPOONER) 1. Constructed - Wates (BUILDER_WATES) 1. Count of Properties with Cavity Insulation (CAVITY_INS_count) 1. Count of properties without Cavity Insulation data recorded (CAVITY_INS_null) 1. Count of properties with construction data recorded (CONSTRUCTION_DATE_count) 1. Count of properties with no construction date recorded (CONSTRUCTION_DATE_null) 1. Count of Council Tax Band A (CTBAND_VAL_A) 1. Count of Council Tax Band B (CTBAND_VAL_B) 1. Count of Council Tax Band C (CTBAND_VAL_C) 1. Count of Council Tax Band D (CTBAND_VAL_D) 1. Count of Council Tax Band E (CTBAND_VAL_E) 1. Count of Council Tax Band F (CTBAND_VAL_F) 1. Count of Council Tax Band G (CTBAND_VAL_G) 1. Count of Council Tax Band data not recorded (CTBAND_VAL_null) 1. Count of properties with data taken under management recorded (DATE_UNDER_MANAGEMENT_count) 1. Number of Residences on 10th Floor (FLOOR_10TH) 1. Number of Residences on 11th Floor (FLOOR_11TH) 1. Number of Residences on 12th Floor (FLOOR_12TH) 1. Number of Residences on 13th Floor (FLOOR_13TH) 1. Number of Residences on 14th Floor (FLOOR_14TH) 1. Number of Residences on 15th Floor (FLOOR_15TH) 1. Number of Residences on 16th Floor (FLOOR_16TH) 1. Number of Residences on 17th Floor (FLOOR_17TH) 1. Number of Residences on 18th Floor (FLOOR_18TH) 1. Number of Residences on 19th Floor (FLOOR_19TH) 1. Number of Residences on 1st Floor (FLOOR_1ST) 1. Number of Residences on 2nd Floor (FLOOR_2ND) 1. Number of Residences on 3rd Floor (FLOOR_3RD) 1. Number of Residences on 4th Floor (FLOOR_4TH) 1. Number of Residences on 5th Floor (FLOOR_5TH) 1. Number of Residences on 6th Floor (FLOOR_6TH) 1. Number of Residences on 7th Floor (FLOOR_7TH) 1. Number of Residences on 8th Floor (FLOOR_8TH) 1. Number of Residences on 9th Floor (FLOOR_9TH) 1. Number of Residences on Ground Floor (FLOOR_GROUND) 1. Number of Residences on Floor - not recorded (FLOOR_NULL) 1. Heating No. of residencies with - CHP (HEATING_CHP) 1. Heating No. of residencies with - Electricity (HEATING_ELECTRICITY) 1. Heating No. of residencies with - Gasl (HEATING_GAS) 1. Heating No. of residencies with - No data recorded (HEATING_null) 1. Heating No. of residencies with - Other Heating (HEATING_OTHER) 1. Number of properties with Loft Insulation (LOFT_INS_count) 1. Number of properties with no loft insulation data recorded (LOFT_INS_null) 1. aggregated reference - ignore (PROP_REF_avg) 1. aggregated count of references - ignore (PROP_REF_count) 1. max property reference number - ignore (PROP_REF_max) 1. min property reference number - ignore (PROP_REF_min) 1. total of the property reference numbers - ignore (PROP_REF_tot) 1. Number of detached bungalows (PROP_TYPE_Bungalow (Detached)) 1. Number of bungalow properties with dormer (PROP_TYPE_Bungalow (Dormer Bungalow)) 1. Number of bungalow properties end terrace (PROP_TYPE_Bungalow (End Terrace)) 1. Number of bungalow properties inner terrace (PROP_TYPE_Bungalow (Inner Terrace)) 1. Number of properties bungalow semi detached (PROP_TYPE_Bungalow (Semi-Detached)) 1. Number of bungalow properties single (PROP_TYPE_Bungalow (Single Bungalow)) 1. Number of bungalow properties not known type (PROP_TYPE_Bungalow (Unknown Sub-Type)) 1. Number of flats high rise (PROP_TYPE_Flat (High Rise)) 1. Number of flats form converted house (PROP_TYPE_Flat (In Converted House)) 1. Number of low rise flats (PROP_TYPE_Flat (Low Rise)) 1. Number of flats medium rise (PROP_TYPE_Flat (Medium Rise)) 1. Number of flats over garage (PROP_TYPE_Flat (Over Garage)) 1. Number of flats over shop (PROP_TYPE_Flat (Over Shop)) 1. Number of hostels (PROP_TYPE_Hostel (BCC Hostel)) 1. Number of detached houses (PROP_TYPE_House (Detached)) 1. Number of end terrace houses (PROP_TYPE_House (End Terrace)) 1. Number of inner terrace houses (PROP_TYPE_House (Inner Terrace)) 1. Number of semi-detached houses (PROP_TYPE_House (Semi-Detached)) 1. Number of houses of unknown description (PROP_TYPE_House (Unknown Sub-Type)) 1. Number of properties in conversion (PROP_TYPE_Interim Prop - Conversion in Progress (Semi-Detached)) 1. Number of maisonettes from a converted house (PROP_TYPE_Maisonette (In Converted House)) 1. Number of low rise maisonettes (PROP_TYPE_Maisonette (Low Rise)) 1. Number of medium rise maisonettes (PROP_TYPE_Maisonette (Medium Rise)) 1. Number of maisonettes over a garage (PROP_TYPE_Maisonette (Over Garage)) 1. Number of maisonettes over a shop (PROP_TYPE_Maisonette (Over Shop)) 1. Number of properties with type not recorded (PROP_TYPE_null) 1. Number of pre-fabricated house (PROP_TYPE_Prefab (Detached)) 1. Number of properties with smoke alarms (SMOKE_ALARM_count) 1. Number of properties with no smoke alarm data recorded (SMOKE_ALARM_null) Licence: http://reference.data.gov.uk/id/open-government-licence

This contains the details of the number of requests received by the staff in Estate Management Team of the Housing Division of Fingal County Council . These are the number of call in relation to Repairs of the Council Housing Stock. 2018-2024 inclusive.This can be (1) Heating (2) Plumbing (3)