100+ datasets found
  1. d

    Broad Rental Market Areas

    • dtechtive.com
    • find.data.gov.scot
    • +3more
    html, zip
    Updated Jan 18, 2021
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    Scottish Government (2021). Broad Rental Market Areas [Dataset]. https://dtechtive.com/datasets/40176
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    html(null MB), zip(null MB)Available download formats
    Dataset updated
    Jan 18, 2021
    Dataset provided by
    Scottish Government
    License

    https://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttps://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

    Area covered
    Scotland
    Description

    Broad Rental Market Area (or BRMA) boundaries are used to determine Local Housing Allowance (LHA) rates. Empowered by the Welfare Reform Act (2007), the Rent Officer has defined the current boundaries in accordance with the Rent Officers (Housing Benefit Functions) (Amendment) Order 2008, which came into force on January 5th, 2009. The Order defines a BRMA as an area (a) comprising two or more distinct areas of residential accommodation, each distinct area of residential accommodation adjoining at least one other in the area; (b) within which a person could reasonably be expected to live having regard to facilities and services for the purposes of health, education, recreation, personal banking and shopping, taking account of the distance of travel, by public and private transport, to and from facilities and services of the same type and similar standard; and (c) containing residential premises of a variety of types and including such premises held on a variety of tenancies.

  2. g

    Broad Rental Market Areas

    • gimi9.com
    Updated Apr 15, 2015
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    (2015). Broad Rental Market Areas [Dataset]. https://gimi9.com/dataset/uk_broad-rental-market-areas
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    Dataset updated
    Apr 15, 2015
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    🇬🇧 영국 English Broad Rental Market Area (or BRMA) boundaries are used to determine Local Housing Allowance (LHA) rates. Empowered by the Welfare Reform Act (2007), the Rent Officer has defined the current boundaries in accordance with the Rent Officers (Housing Benefit Functions) (Amendment) Order 2008, which came into force on January 5th, 2009. The Order defines a BRMA as an area (a) comprising two or more distinct areas of residential accommodation, each distinct area of residential accommodation adjoining at least one other in the area; (b) within which a person could reasonably be expected to live having regard to facilities and services for the purposes of health, education, recreation, personal banking and shopping, taking account of the distance of travel, by public and private transport, to and from facilities and services of the same type and similar standard; and (c) containing residential premises of a variety of types and including such premises held on a variety of tenancies.

  3. E

    Data from: Broad Rental Market Areas (Wales)

    • find.data.gov.scot
    • dtechtive.com
    xml, zip
    Updated Feb 22, 2017
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    independent researcher (2017). Broad Rental Market Areas (Wales) [Dataset]. http://doi.org/10.7488/ds/1965
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    xml(0.004 MB), zip(4.204 MB)Available download formats
    Dataset updated
    Feb 22, 2017
    Dataset provided by
    independent researcher
    Area covered
    Wales
    Description

    Broad Rental Market Areas (BRMAs) are the geographical areas used to determine Local Housing Allowance (LHA) rates. This dataset covers Wales only. Please see the Doc folder for more details. Released by Rent Officers Wales (part of the Housing Division of the Welsh Government) on 23/09/2014 via correspondence (enclosed). GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2014-09-24 and migrated to Edinburgh DataShare on 2017-02-22.

  4. Z

    Postcode to Broad Rental Market Areas (BRMAs) Lookup v2.2 (2025)

    • data-staging.niaid.nih.gov
    Updated Jan 27, 2025
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    Bailey, Nick (2025). Postcode to Broad Rental Market Areas (BRMAs) Lookup v2.2 (2025) [Dataset]. https://data-staging.niaid.nih.gov/resources?id=zenodo_14732927
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    Dataset updated
    Jan 27, 2025
    Dataset provided by
    University of Glasgow
    Authors
    Bailey, Nick
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This dataset is a lookup file linking unit postcodes to Broad Rental Market Area (BRMA) boundaries for the UK. BRMAs are the spatial areas used for the administration of Housing Benefit or Local Housing Allowance. There are 200 BRMAs in total.

    BRMA boundaries were collected from publicly available datasets. For Great Britain, postcodes were linked to BRMAs using Office for National Statistics (ONS) postcode centroid lookups. For Northern Ireland, the lack of open postcode data required the use of a workaround. Full details on process here: https://github.com/nick-bailey/Postcode-to-BRMA-lookup.

    In v2.2, we correct an error from the previous version which meant that West Dunbartonshire BRMA had been omitted with postcodes in that zone wrongly attributed to neighbouring BRMAs.

  5. Broad Rental Market Areas (BRMA) - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Feb 18, 2019
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    ckan.publishing.service.gov.uk (2019). Broad Rental Market Areas (BRMA) - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/broad-rental-market-areas-brma1
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    Dataset updated
    Feb 18, 2019
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    This data sets out information on the size and shape of England's Broad Rental Market Areas (BRMAs). The information comes from the Valuation Office Agency (VOA) and is available online at https://www.gov.uk/government/organisations/valuation-office-agency Across England there are 152 Broad Rental Market Areas. These are set by the Valuation Office Agency (VOA) and are used to define the amount of support a household might be able to claim to support their housing costs, known as Local Housing Allowance. The boundaries of the broad rental market areas and Local Housing Allowance rates are shown in the Cambridgeshire Atlas | BRMAs https://cambridgeshireinsight.org.uk/wp-content/atlases/BRMA/atlas.html

  6. e

    Data from: Local Housing Allowance rates

    • data.europa.eu
    • data.gov.uk
    • +1more
    csv, excel xls
    Updated Sep 14, 2019
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    Cambridgeshire Insight (2019). Local Housing Allowance rates [Dataset]. https://data.europa.eu/data/datasets/local-housing-allowance-rates1?locale=ro
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    excel xls, csvAvailable download formats
    Dataset updated
    Sep 14, 2019
    Dataset authored and provided by
    Cambridgeshire Insight
    Description

    This data sets out levels of support with housing costs, known as the Local Housing Allowance (LHA) rate, for 2013-14, 2014-15, 2015-16, 2016-17, 2017-18, 2019-19 and 2019-20

    The Allowance is set for different property sizes in each Broad Rental Market Area, or BRMA. These are not the same as county or district areas.

    The Valuation Office Agency (VOA) completes a six-monthly survey of private rents across England which is used to set the LHA rates. However in 2016-17, many rates were frozen at 2015-16 levels due to national austerity measures. Since them, selected BRMAs have had their LHA rates adjusted, despite the general freeze.

    The data comes from the Valuation Office Agency (VOA) and is available online at www.gov.uk. Individuals should seek advice about their individual claims from their local authority benefit team. The VOA provides a search facility to help applicants identify the relevant LHA for them. This search is based on postcode and property size and can be found at http://lha-direct.voa.gov.uk/search.aspx.

  7. g

    BRMAs showing LHA rates | gimi9.com

    • gimi9.com
    Updated Dec 11, 2014
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    (2014). BRMAs showing LHA rates | gimi9.com [Dataset]. https://gimi9.com/dataset/uk_local-housing-allowance-lha-rates-by-broad-rental-market-areas-brma/
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    Dataset updated
    Dec 11, 2014
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This data sets out information on the size and shape of England's Broad Rental Market Areas (BRMAs) and the rates of Local Housing Allowance (LHA) set for that area. The notes below explain more about what a BRMA and what Local Housing Allowance are, and how both the areas and the rates are set. The information comes from the Valuation Office Agency (VOA) and is available online at www.gov.uk. Claimants should seek advice about their individual claims from their local authority Housing Benefit Department. The VOA provides a search facility to help applicants identify the relevant LHA for them. This search is based on postcode and property size.

  8. E

    Data from: Broad Rental Market Areas (England)

    • dtechtive.com
    • find.data.gov.scot
    xml, zip
    Updated Feb 22, 2017
    + more versions
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    independent researcher (2017). Broad Rental Market Areas (England) [Dataset]. http://doi.org/10.7488/ds/1963
    Explore at:
    xml(0.0039 MB), zip(13.77 MB)Available download formats
    Dataset updated
    Feb 22, 2017
    Dataset provided by
    independent researcher
    Area covered
    England
    Description

    Broad Rental Market Areas (BRMAs) are the geographical areas used to determine Local Housing Allowance (LHA) rates. This dataset covers England only. Please see the Doc folder for more details. Released by the Valuation Office Agency on 16/09/2014 via correspondence (enclosed). GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2014-09-16 and migrated to Edinburgh DataShare on 2017-02-22.

  9. Local Housing Allowance rates - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Feb 18, 2019
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    ckan.publishing.service.gov.uk (2019). Local Housing Allowance rates - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/local-housing-allowance-rates1
    Explore at:
    Dataset updated
    Feb 18, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    CKANhttps://ckan.org/
    Description

    This data sets out levels of support with housing costs, known as the Local Housing Allowance (LHA) rate, for 2013-14, 2014-15, 2015-16, 2016-17, 2017-18, 2019-19, 2019-20, 2020-21 and 2021-22. The Allowance is set for different property sizes in each Broad Rental Market Area, or BRMA. These are not the same as county or district areas. You can find out more about BRMAs here. The Valuation Office Agency (VOA) completes a six-monthly survey of private rents across England which is used to set the LHA rates. However in 2016-17, many rates were frozen at 2015-16 levels due to national austerity measures. Since then, selected BRMAs have had their LHA rates adjusted, despite the general freeze. In 2020/21 rates were increased up to a set maximum to help mitigate the effects of the covid-19 pandemic, so LHAs would support a higher level rent than previously. For 2021-22 LHA rates have been held at the same level as 2020-21. The data comes from the Valuation Office Agency (VOA) and is available online at www.gov.uk. Individuals should seek advice about their individual claims from their local authority benefit team. The VOA provides a search facility to help applicants identify the relevant LHA for them. This search is based on postcode and property size and can be found at http://lha-direct.voa.gov.uk/search.aspx.

  10. e

    Local Housing Allowance (LHA) changes, 2013-2016

    • data.europa.eu
    csv, excel xls, html +2
    + more versions
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    Cambridgeshire Insight, Local Housing Allowance (LHA) changes, 2013-2016 [Dataset]. https://data.europa.eu/data/datasets/local-housing-allowance-lha-changes-2013-2016?locale=sl
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    csv, excel xls, html, unknown, jsonAvailable download formats
    Dataset authored and provided by
    Cambridgeshire Insight
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This data relates to the private rented market in the Cambridge housing sub-region (Cambridgeshire and West Suffolk). The Local Housing Allowance (LHA) is the housing benefit for households in the private rented sector. The data looks at the impact of two of the reforms to the LHA. Prior to 2011, LHA was based on the median market rent for a Broad Rental Market Area (BRMA). The Cambridge sub-region is mostly covered by 5 BRMAs. Within each area, half the rents were below the set LHA rate and half were more expensive. In 2011 LHA was reduced to the 30th percentile market rent meaning 30% of rents are below this level.

  11. w

    Local Housing Allowance changes

    • data.wu.ac.at
    csv, xls
    Updated Aug 23, 2018
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    Cambridgeshire Insight (2018). Local Housing Allowance changes [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/YzBiNDM0YzItY2Q3MC00MmEyLTliYmQtNjlmODkzZTM5ZmMw
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    csv(19056.0), xls(143872.0)Available download formats
    Dataset updated
    Aug 23, 2018
    Dataset provided by
    Cambridgeshire Insight
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Published after reforms to the Local Housing Allowance setting process made in 2011, this data relates to private rented housing across Cambridgeshire and West Suffolk.

    Local Housing Allowance (LHA) is the housing benefit for households in the private rented sector.

    The data looks at the impact of two reforms to LHA rates. Prior to 2011, LHA was based on the median market rent for a Broad Rental Market Area (BRMA). The Cambridge sub-region is mostly covered by 5 BRMAs. Within each area, half the rents were below the set LHA rate and half were more expensive. In 2011 LHA was reduced to the 30th percentile market rent meaning 30% of rents are below this level.

    The data attempts to project the impact of these changes into the future, looking up to the end of 2016.

    The URI's for West Suffolk are as follows http://statistics.data.gov.uk/doc/statistical-geography/E07000201 and http://statistics.data.gov.uk/doc/statistical-geography/E07000204.

  12. e

    BRMA che mostrano i tassi di LHA

    • data.europa.eu
    csv, html, json
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    Cambridgeshire Insight, BRMA che mostrano i tassi di LHA [Dataset]. https://data.europa.eu/data/datasets/local-housing-allowance-lha-rates-by-broad-rental-market-areas-brma?locale=it
    Explore at:
    json, html, csvAvailable download formats
    Dataset authored and provided by
    Cambridgeshire Insight
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Questi dati riportano le informazioni sulle dimensioni e la forma delle Broad Rental Market Areas (BRMA) dell'Inghilterra e i tassi di Local Housing Allowance (LHA) fissati per quell'area. Le note che seguono spiegano di più su cosa sono un BRMA e cosa sono le indennità di alloggio locale e come sono stabilite sia le aree che le tariffe. Le informazioni provengono dalla Valuation Office Agency (VOA) e sono disponibili online all'indirizzo www.gov.uk. I richiedenti dovrebbero chiedere consiglio sulle loro richieste individuali presso la loro autorità locale Housing Benefit Department. La VOA fornisce una funzione di ricerca per aiutare i richiedenti a identificare l'LHA pertinente per loro. Questa ricerca si basa sul codice postale e sulla dimensione della proprietà.

  13. e

    Veranderingen in de lokale huisvestingstoelage

    • data.europa.eu
    csv, excel xls
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    Cambridgeshire Insight, Veranderingen in de lokale huisvestingstoelage [Dataset]. https://data.europa.eu/data/datasets/local-housing-allowance-changes?locale=nl
    Explore at:
    csv, excel xlsAvailable download formats
    Dataset authored and provided by
    Cambridgeshire Insight
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Gepubliceerd na hervormingen van het proces voor de vaststelling van de lokale huisvestingstoelage in 2011, hebben deze gegevens betrekking op particuliere huurwoningen in Cambridgeshire en West Suffolk.

    Lokale huisvestingstoelage (LHA) is de huisvestingstoelage voor huishoudens in de particuliere huursector.

    In de gegevens wordt gekeken naar de impact van twee hervormingen van de LHA-tarieven. Vóór 2011 was LHA gebaseerd op de mediane markthuur voor een Broad Rental Market Area (BRMA).De subregio Cambridge wordt grotendeels gedekt door 5 BRMA's. Binnen elk gebied lag de helft van de huurprijzen onder het vastgestelde LHA-tarief en de helft was duurder. In 2011 werd LHA verlaagd tot de markthuur van het 30e percentiel, wat betekent dat 30% van de huurprijzen onder dit niveau ligt.

    De gegevens proberen de impact van deze veranderingen in de toekomst te projecteren, kijkend naar het einde van 2016.

    The URI's for West Suffolk are as follows http://statistics.data.gov.uk/doc/statistical-geography/E07000201 and http://statistics.data.gov.uk/doc/statistical-geography/E07000204.

    Gepubliceerd na hervormingen van het proces voor de vaststelling van de lokale huisvestingstoelage in 2011, hebben deze gegevens betrekking op particuliere huurwoningen in Cambridgeshire en West Suffolk.

    Lokale huisvestingstoelage (LHA) is de huisvestingstoelage voor huishoudens in de particuliere huursector.

    In de gegevens wordt gekeken naar de impact van twee hervormingen van de LHA-tarieven. Vóór 2011 was LHA gebaseerd op de mediane markthuur voor een Broad Rental Market Area (BRMA). De subregio Cambridge wordt grotendeels gedekt door 5 BRMA's. Binnen elk gebied lag de helft van de huurprijzen onder het vastgestelde LHA-tarief en de helft was duurder. In 2011 werd LHA verlaagd tot de markthuur van het 30e percentiel, wat betekent dat 30% van de huurprijzen onder dit niveau ligt.

    De gegevens proberen de impact van deze veranderingen in de toekomst te projecteren, kijkend naar het einde van 2016.

    The URI's for West Suffolk are as follows http://statistics.data.gov.uk/doc/statistical-geography/E07000201 and http://statistics.data.gov.uk/doc/statistical-geography/E07000204.

  14. Universal Credit statistics, 29 April 2013 to 10 December 2020

    • gov.uk
    • s3.amazonaws.com
    Updated Jan 26, 2021
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    Department for Work and Pensions (2021). Universal Credit statistics, 29 April 2013 to 10 December 2020 [Dataset]. https://www.gov.uk/government/statistics/universal-credit-statistics-29-april-2013-to-10-december-2020
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    Dataset updated
    Jan 26, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Work and Pensions
    Description

    The latest release of these statistics can be found in the Universal Credit statistics collection.

    Data for people on Universal Credit is available in Stat-Xplore on a monthly basis.

    These monthly experimental statistics include the total number of people who are on Universal Credit at 10 December 2020.

    The statistics are broken down by:

    • Jobcentre Plus office
    • age
    • employment status
    • conditionality regime
    • duration

    Intention to publish new statistics in the households on Universal Credit series

    From the next publication of Universal Credit statistics on 23 February 2021, the Households on Universal Credit series will be expanded to include new or extended information on:

    • households on Universal Credit affected by the removal of the spare room subsidy, including the type of reduction and average amount of deduction
    • whether the Local Housing Allowance covers the rent and an accompanying geographical breakdown by broad rental market area
    • distinguishing between limited capability for work payment element and the limited capability for work and work related activity payment element

    These will be made available on Stat-Xplore, with accompanying metadata available for users to understand the definitions and coverage of these new variables.

    These additions to Universal Credit statistics are being made as part of the Universal Credit statistics release strategy and in response to user needs.

    Interactive statistics

    View https://dwp-stats.maps.arcgis.com/apps/MapSeries/index.html?appid=f90fb305d8da4eb3970812b3199cf489">statistics on the Universal Credit claimants at Jobcentre Plus office level in an interactive map.

    View https://dwp-stats.maps.arcgis.com/apps/Cascade/index.html?appid=8560a06de0f2430ab71505772163e8b4">an interactive map which shows statistics on households on Universal Credit at Local Authority level.

    View https://stat-xplore.dwp.gov.uk/webapi/metadata/dashboards/uch/index.html">an interactive dashboard of the latest Universal Credit household statistics by region.

    Find further breakdowns of these statistics on https://stat-xplore.dwp.gov.uk/">Stat-Xplore, an online tool for exploring some of DWP’s main statistics.

    Next releases

    People on Universal Credit statistics are released monthly.
    Next release: 23 February 2021.

    Households on Universal Credit statistics, and claims and starts for Universal Credit are released quarterly.
    Next quarterly release: 23 February 2021.

    Pre-release access

    In addition to staff who are responsible for the production and quality assurance of the statistics, up to 24-hour pre-release access is provided to ministers and other officials. We publish the job titles and organisations of the people who have been granted up to 24-hour pre-release access to the latest Universal Credit statistics.

    More information

    Read the background information and methodology note for more information about the Universal Credit statistics.

  15. Fair Market Rents

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • regionaldatahub-brag.hub.arcgis.com
    • +2more
    Updated Sep 26, 2019
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    Esri U.S. Federal Datasets (2019). Fair Market Rents [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/fedmaps::fair-market-rents/about
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    Dataset updated
    Sep 26, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Fair Market RentsThis National Geospatial Data Asset (NGDA) dataset, shared as a Department of Housing and Urban Development (HUD) feature layer, displays fair market rents (FMR) in the United States. According to HUD, "Fair Market Rents (FMRs) represent the estimated amount (base rent + essential utilities) that a property in a given area typically rents for. The data are primarily used to determine payment standard amounts for the Housing Choice Voucher program. However, FMRs are also used to determine initial renewal rents for expiring project-based Section 8 contracts, determine initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), rent ceilings for rental units in both the HOME Investment Partnerships program and the Emergency Solution Grants (ESG) program, calculate of maximum award amounts for Continuum of Care recipients and the maximum amount of rent a recipient may pay for property leased with Continuum of Care funds, and calculate flat rent amounts in Public Housing Units."Milwaukee-Waukesha-West Allis, WI Metropolitan Statistical Area (MSA)Data currency: current Federal service (Fair Market Rents)NGDAID: 122 (Fair Market Rents (Fair Market Rents For The Section 8 Housing Assistance Payments Program) - National Geospatial Data Asset (NGDA))For more information, please visit: Fair Market RentsSupport documentation: Fair Market Rents (FMRs)For feedback, please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets

  16. Small Area Fair Market Rents (SAFMR) Table

    • catalog.data.gov
    Updated Jun 15, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). Small Area Fair Market Rents (SAFMR) Table [Dataset]. https://catalog.data.gov/dataset/small-area-fair-market-rents-safmr-table
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    Dataset updated
    Jun 15, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    This feature service outlines relationships between Zip Code Tabulation Areas (ZCTAs) used to denote Small Area Fair Market Rents (SAFMRs) and the Fair Market Rents (FMRs) calculated for Metropolitan Statistical Areas (MSAs) and County geographies. Small Area Fair Market Rents (SAFMRs) are FMRs calculated for ZIP Codes within Metropolitan Areas. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD (available here). Other Housing Agencies operating in non-designated metropolitan areas may opt-in to the use of Small Area FMRs. Furthermore, Small Area FMRs may be used as the basis for setting Exception Payment Standards – PHAs may set exception payment standards up to 110 percent of the Small Area FMR. PHAs administering Public Housing units may use Small Area FMRs as an alternative to metropolitan area-wide FMRs when calculating Flat Rents.

  17. Rental vacancy rates in the U.S. 2000-2024, by region

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Rental vacancy rates in the U.S. 2000-2024, by region [Dataset]. https://www.statista.com/statistics/186392/vacancy-rates-for-rental-units-by-us-region-since-2000/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Rental vacancy rates across the United States showed significant regional differences in 2024, with the South experiencing the highest rate at 8.7 percent. This disparity reflects broader demographic shifts and economic factors influencing the rental market. The regional variations in vacancy rates have persisted despite an overall decline since 2014, highlighting the complex dynamics of the U.S. housing landscape. Rental demand and affordability challenges The rental market continues to face pressure from high demand, particularly among younger demographics. People under 30 comprise the largest share of American renters, with approximately 42 million in this age group. Despite softening rents in some areas, affordability remains a significant issue. In 2023, 42.5 percent of renters paid gross rent exceeding 35 percent of their income, indicating widespread financial strain among tenants. Regional disparities and market trends The Northeast and West regions, which include many large urban areas, have consistently lower vacancy rates compared to the Midwest and South. This trend aligns with population shifts towards these regions, fueling higher home prices growth. The rental market has shown signs of stabilization in 2023, with the number of vacant homes for rent slightly picking up after two years of record-low vacancy.

  18. Forecast annual residential property rental price growth in the UK 2025-2029...

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Forecast annual residential property rental price growth in the UK 2025-2029 [Dataset]. https://www.statista.com/statistics/323657/uk-wide-prime-property-rental-price-growth/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2025
    Area covered
    United Kingdom
    Description

    The UK residential rental market is poised for significant growth, with forecasts indicating a cumulative increase of nearly **** percent by 2029. This surge is expected to be front-loaded, with a robust *****percent rise anticipated in 2025. Rental growth has accelerated notably since 2021, with August 2024 experiencing a decade-high annual percentage growth. The trend reflects the complex interplay between housing affordability, mortgage rates, and supply of rental homes, as the UK housing market navigates a period of transition.

  19. Universal Credit statistics, 29 April 2013 to 8 July 2021

    • gov.uk
    • s3.amazonaws.com
    Updated Aug 17, 2021
    + more versions
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    Department for Work and Pensions (2021). Universal Credit statistics, 29 April 2013 to 8 July 2021 [Dataset]. https://www.gov.uk/government/statistics/universal-credit-statistics-29-april-2013-to-8-july-2021
    Explore at:
    Dataset updated
    Aug 17, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Work and Pensions
    Description

    The latest release of these statistics can be found in the collection of Universal Credit statistics.

    These experimental statistics contain data for the total number of people:

    • who have submitted a claim for Universal Credit with a personal declaration to 8 July 2021
    • who have made a claim and have attended an initial interview, accepted their claimant commitment, and gone on to start Universal Credit up to 8 July 2021
    • who are on Universal Credit at 8 July 2021

    They also contain data for the total number of households on Universal Credit at 13 May 2021.

    Read the background information and methodology note for guidance on these statistics, such as timeliness, uses, and procedures.

    Notices

    Data on Stat-Xplore

    Users are advised that data relating to the following will be available on Stat-Xplore on 26 August 2021 at 9.30am:

    • Removal of Spare Room Subsidy
    • Local Housing Allowance
    • Broad Rental Market Area

    Until this data is available on Stat-Xplore, it is available in the supplementary data tables accompanying this release. This is due to the late availability of the data.

    Changes from this release

    Users are advised of the following changes from this release:

    • new statistics on Children in Universal Credit households
    • methodology change to family types for data from April 2019
    • geography data for People on Universal Credit and Households on Universal Credit may be out of date

    Non-media enquiries about this can be sent by email to: team.ucos@dwp.gov.uk

    Proposed changes to Universal Credit statistics in forthcoming releases

    New statistics intended for release in November 2021

    Users are invited to comment on our intention to publish new statistics on bedroom entitlement. These will be part of the Removal of Spare Room Subsidy statistics in Households on Universal Credit from November 2021.

    Intention to withdraw measures in the claims and starts series

    We are seeking views from users on an intention to withdraw the following measures.

    Claims made by day

    Statistics on claims are currently available by week and by day. It is intended to stop publishing the daily time series for claims. Instead, time periods will be available by month and by week. Months will represent the period between count dates as they currently do for starts. This is to make the claims series more consistent with other series in Universal Credit statistics.

    Individuals counts for claims and starts

    Claims and starts have two counts available: total and individuals. The individuals measure has been temporarily withdrawn due to technical issues on producing this measure on Stat-Xplore. As Universal Credit statistics counts all claims made by an individual within a 30-day period as one claim, there is no difference between individuals and totals in the monthly time periods available on Stat-Xplore for claims and starts. It is intended to permanently withdraw this measure.

    If the withdrawal of either of these measures would affect you, please inform us of your use of these measures by 28 September 2021.

    Interactive tools

    View statistics on the Universal Credit claimants at Jobcentre Plus office level on a https://dwp-stats.maps.arcgis.com/apps/MapSeries/index.html?appid=f90fb305d8da4eb3970812b3199cf489">regional interactive map

    View an https://dwp-stats.maps.arcgis.com/apps/Cascade/index.html?appid=8560a06de0f2430ab71505772163e8b4">interactive map which shows statistics on households on Universal Credit at Local Authority level.

  20. D

    Mid-Term Rental Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
    + more versions
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    Dataintelo (2025). Mid-Term Rental Market Research Report 2033 [Dataset]. https://dataintelo.com/report/mid-term-rental-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Mid-Term Rental Market Outlook



    According to our latest research, the global mid-term rental market size reached USD 74.8 billion in 2024, with a robust compound annual growth rate (CAGR) of 7.1% projected from 2025 to 2033. By the end of 2033, the market is forecasted to attain a value of USD 139.5 billion. The market’s expansion is driven by the increasing demand for flexible and affordable housing solutions, particularly among mobile professionals, students, and expatriates, as well as the digital transformation of the real estate sector.




    A significant growth factor for the mid-term rental market is the evolving nature of work and study, with more individuals seeking temporary housing solutions due to remote work, project-based assignments, and academic programs. The rise of digital nomadism and cross-border employment opportunities has led to a surge in demand for rentals spanning one to twelve months. Corporations are increasingly leveraging mid-term rentals to accommodate relocating employees, project teams, and consultants, while educational institutions are partnering with property providers to offer flexible housing to students and visiting faculty. These trends are further amplified by the global mobility of talent and the need for cost-effective, hassle-free accommodation options.




    Another major driver is the technological transformation within the real estate industry. The proliferation of online booking platforms has revolutionized the way mid-term rentals are marketed, discovered, and managed. Platforms offering seamless search, virtual tours, secure payment gateways, and transparent reviews have significantly enhanced user experience and trust. Property owners, managers, and agencies are leveraging data analytics and digital tools to optimize occupancy rates, pricing strategies, and customer engagement. This digital shift has also enabled greater market penetration in emerging economies, where tech-savvy younger populations are increasingly opting for mid-term rentals over traditional long-term leases or short-term stays.




    Urbanization and shifting lifestyle preferences are further propelling the mid-term rental market. In densely populated cities, high real estate prices and limited availability of long-term rentals have made mid-term options attractive for a wide demographic, including young professionals, students, and families in transition. The growing appeal of flexible living arrangements, coupled with the desire for fully furnished and serviced accommodations, has spurred innovation in property offerings. Developers and investors are responding by converting existing properties into mid-term rental units, integrating amenities such as coworking spaces, gyms, and communal areas to cater to the evolving needs of tenants.




    From a regional perspective, North America and Europe continue to dominate the mid-term rental market, accounting for over 60% of the global share in 2024. However, Asia Pacific is emerging as the fastest-growing region, with a CAGR expected to surpass 8.5% during the forecast period. This growth is fueled by rapid urbanization, expanding expatriate communities, and increasing cross-border academic and professional exchanges. Meanwhile, Latin America and the Middle East & Africa are witnessing steady growth as digital platforms break down barriers to entry and local governments introduce supportive policies to attract international talent and investment.



    Property Type Analysis



    The mid-term rental market’s segmentation by property type reveals a dynamic landscape shaped by diverse tenant preferences and evolving urban infrastructure. Apartments remain the most popular choice, capturing the largest market share due to their availability, affordability, and adaptability to various tenant profiles. Apartments appeal to both individuals and corporate clients seeking furnished, centrally located accommodations with amenities such as security, maintenance, and easy access to public transport. The adaptability of apartments to short to medium durations makes them a preferred option for students, professionals, and expatriates alike, driving consistent demand across metropolitan areas.




    Houses occupy a significant niche within the mid-term rental market, particularly among families and groups requiring more space, privacy, and a homelike environment. Ho

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Scottish Government (2021). Broad Rental Market Areas [Dataset]. https://dtechtive.com/datasets/40176

Broad Rental Market Areas

Explore at:
83 scholarly articles cite this dataset (View in Google Scholar)
html(null MB), zip(null MB)Available download formats
Dataset updated
Jan 18, 2021
Dataset provided by
Scottish Government
License

https://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttps://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

Area covered
Scotland
Description

Broad Rental Market Area (or BRMA) boundaries are used to determine Local Housing Allowance (LHA) rates. Empowered by the Welfare Reform Act (2007), the Rent Officer has defined the current boundaries in accordance with the Rent Officers (Housing Benefit Functions) (Amendment) Order 2008, which came into force on January 5th, 2009. The Order defines a BRMA as an area (a) comprising two or more distinct areas of residential accommodation, each distinct area of residential accommodation adjoining at least one other in the area; (b) within which a person could reasonably be expected to live having regard to facilities and services for the purposes of health, education, recreation, personal banking and shopping, taking account of the distance of travel, by public and private transport, to and from facilities and services of the same type and similar standard; and (c) containing residential premises of a variety of types and including such premises held on a variety of tenancies.

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