18 datasets found
  1. W

    Housing market and house prices

    • cloud.csiss.gmu.edu
    • data.europa.eu
    • +1more
    html
    Updated Dec 31, 2019
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    United Kingdom (2019). Housing market and house prices [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/uk-housing-market-and-housing-prices
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    htmlAvailable download formats
    Dataset updated
    Dec 31, 2019
    Dataset provided by
    United Kingdom
    License

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

    Description

    There are a large number of Housing spreadsheets that provide the latest, most useful or most popular data, presented by type and other variables, including by geographical area or on a temporal basis. These spreadsheets are mostely produced from statistical returns completed by Local Authorities, although some are from survey data or external sources.

  2. W

    Housing Market Indicators

    • cloud.csiss.gmu.edu
    • data.europa.eu
    • +1more
    html, sparql
    Updated Dec 29, 2019
    + more versions
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    United Kingdom (2019). Housing Market Indicators [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/housing-market-indicators
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    sparql, htmlAvailable download formats
    Dataset updated
    Dec 29, 2019
    Dataset provided by
    United Kingdom
    License

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

    Description

    A dataset of indicators of the state of the UK housing market

    This is a collection of indicators from diverse sources on different aspects of the state of the UK housing market. Some indicators are updated monthly, others quarterly.

    Publication of this dataset began in August 2012. The choice of which indicators are included in this dataset may be subject to revision, but the intention is to update the dataset regularly as new data become available.

    Historical time series have been added for some (but not yet all) of the indicators.

  3. Average house price in the UK 2010-2025, by month

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Average house price in the UK 2010-2025, by month [Dataset]. https://www.statista.com/statistics/751605/average-house-price-in-the-uk/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2010 - Apr 2025
    Area covered
    United Kingdom
    Description

    In 2022, house price growth in the UK slowed, after a period of decade-long increase. Nevertheless, in March 2025, prices reached a new peak, with the average home costing ******* British pounds. This figure refers to all property types, including detached, semi-detached, terraced houses, and flats and maisonettes. Compared to other European countries, the UK had some of the highest house prices. How have UK house prices increased over the last 10 years? Property prices have risen dramatically over the past decade. According to the UK house price index, the average house price has grown by over ** percent since 2015. This price development has led to the gap between the cost of buying and renting a property to close. In 2023, buying a three-bedroom house in the UK was no longer more affordable than renting one. Consequently, Brits have become more likely to rent longer and push off making a house purchase until they have saved up enough for a down payment and achieved the financial stability required to make the step. What caused the recent fluctuations in house prices? House prices are affected by multiple factors, such as mortgage rates, supply, and demand on the market. For nearly a decade, the UK experienced uninterrupted house price growth as a result of strong demand and a chronic undersupply. Homebuyers who purchased a property at the peak of the housing boom in July 2022 paid ** percent more compared to what they would have paid a year before. Additionally, 2022 saw the most dramatic increase in mortgage rates in recent history. Between December 2021 and December 2022, the **-year fixed mortgage rate doubled, adding further strain to prospective homebuyers. As a result, the market cooled, leading to a correction in pricing.

  4. Price Paid Data

    • gov.uk
    Updated Jun 27, 2025
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    HM Land Registry (2025). Price Paid Data [Dataset]. https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads
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    Dataset updated
    Jun 27, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Land Registry
    Description

    Our Price Paid Data includes information on all property sales in England and Wales that are sold for value and are lodged with us for registration.

    Get up to date with the permitted use of our Price Paid Data:
    check what to consider when using or publishing our Price Paid Data

    Using or publishing our Price Paid Data

    If you use or publish our Price Paid Data, you must add the following attribution statement:

    Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.

    Price Paid Data is released under the http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/" class="govuk-link">Open Government Licence (OGL). You need to make sure you understand the terms of the OGL before using the data.

    Under the OGL, HM Land Registry permits you to use the Price Paid Data for commercial or non-commercial purposes. However, OGL does not cover the use of third party rights, which we are not authorised to license.

    Price Paid Data contains address data processed against Ordnance Survey’s AddressBase Premium product, which incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data in the Price Paid Data:

    • for personal and/or non-commercial use
    • to display for the purpose of providing residential property price information services

    If you want to use the Address Data in any other way, you must contact Royal Mail. Email address.management@royalmail.com.

    Address data

    The following fields comprise the address data included in Price Paid Data:

    • Postcode
    • PAON Primary Addressable Object Name (typically the house number or name)
    • SAON Secondary Addressable Object Name – if there is a sub-building, for example, the building is divided into flats, there will be a SAON
    • Street
    • Locality
    • Town/City
    • District
    • County

    May 2025 data (current month)

    The May 2025 release includes:

    • the first release of data for May 2025 (transactions received from the first to the last day of the month)
    • updates to earlier data releases
    • Standard Price Paid Data (SPPD) and Additional Price Paid Data (APPD) transactions

    As we will be adding to the April data in future releases, we would not recommend using it in isolation as an indication of market or HM Land Registry activity. When the full dataset is viewed alongside the data we’ve previously published, it adds to the overall picture of market activity.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    Google Chrome (Chrome 88 onwards) is blocking downloads of our Price Paid Data. Please use another internet browser while we resolve this issue. We apologise for any inconvenience caused.

    We update the data on the 20th working day of each month. You can download the:

    Single file

    These include standard and additional price paid data transactions received at HM Land Registry from 1 January 1995 to the most current monthly data.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    The data is updated monthly and the average size of this file is 3.7 GB, you can download:

    • <a re

  5. w

    Ratio of House Prices to Earnings, Borough

    • data.wu.ac.at
    • data.europa.eu
    xls
    Updated Sep 26, 2015
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    London Datastore Archive (2015). Ratio of House Prices to Earnings, Borough [Dataset]. https://data.wu.ac.at/schema/datahub_io/Y2U0Y2MzMjItYTU1MS00YTJjLTkxMDYtMDcwZWMwYzFhMzFk
    Explore at:
    xls(69632.0)Available download formats
    Dataset updated
    Sep 26, 2015
    Dataset provided by
    London Datastore Archive
    License

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

    Description

    This table shows the average House Price/Earnings ratio, which is an important indicator of housing affordability. Ratios are calculated by dividing house price by the median earnings of a borough.

    The Annual Survey of Hours and Earnings (ASHE) is based on a 1 per cent sample of employee jobs. Information on earnings and hours is obtained in confidence from employers. It does not cover the self-employed nor does it cover employees not paid during the reference period. Information is as at April each year. The statistics used are workplace based full-time individual earnings.

    Land Registry housing data are for the first half of the year only, so that they comparable to the ASHE data which are as at April.
    Prior to 2006 data are not available for Inner and Outer London.

    The lowest 25 per cent of prices are below the lower quartile; the highest 75 per cent are above the lower quartile.
    The "lower quartile" property price/income is determined by ranking all property prices/incomes in ascending order.
    The 'median' property price/income is determined by ranking all property prices/incomes in ascending order. The point at which one half of the values are above and one half are below is the median.

    Regional data has not been published by DCLG since 2012. Data for regions has been calculated by the GLA. Data for 2014 has been calculated by the GLA.

    Link to DCLG Live Tables

  6. o

    House price to earnings ratio, England

    • opendatacommunities.org
    • data.europa.eu
    • +1more
    Updated Nov 30, 2018
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    (2018). House price to earnings ratio, England [Dataset]. https://opendatacommunities.org/data/housing-market/ratio/house-price-to-earnings
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    Dataset updated
    Nov 30, 2018
    License

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

    Description

    This dataset contains the ratio of lower quartile/median house price to lower quartile/median earnings in England

  7. UK House Price Index: data downloads January 2022

    • gov.uk
    • s3.amazonaws.com
    Updated Mar 23, 2022
    + more versions
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    HM Land Registry (2022). UK House Price Index: data downloads January 2022 [Dataset]. https://www.gov.uk/government/statistical-data-sets/uk-house-price-index-data-downloads-january-2022
    Explore at:
    Dataset updated
    Mar 23, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Land Registry
    Area covered
    United Kingdom
    Description

    The UK House Price Index is a National Statistic.

    Create your report

    Download the full UK House Price Index data below, or use our tool to https://landregistry.data.gov.uk/app/ukhpi?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=tool&utm_term=9.30_23_03_22" class="govuk-link">create your own bespoke reports.

    Download the data

    Datasets are available as CSV files. Find out about republishing and making use of the data.

    Google Chrome is blocking downloads of our UK HPI data files (Chrome 88 onwards). Please use another internet browser while we resolve this issue. We apologise for any inconvenience caused.

    Full file

    This file includes a derived back series for the new UK HPI. Under the UK HPI, data is available from 1995 for England and Wales, 2004 for Scotland and 2005 for Northern Ireland. A longer back series has been derived by using the historic path of the Office for National Statistics HPI to construct a series back to 1968.

    Download the full UK HPI background file:

    Individual attributes files

    If you are interested in a specific attribute, we have separated them into these CSV files:

  8. Commercial Real Estate Data | Commercial Real Estate Professionals in Europe...

    • datarade.ai
    Updated Jan 1, 2018
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    Success.ai (2018). Commercial Real Estate Data | Commercial Real Estate Professionals in Europe | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-commercial-real-estate-professi-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Finland, Denmark, Greece, Gibraltar, Croatia, Serbia, Monaco, Netherlands, Isle of Man, Bulgaria
    Description

    Success.ai’s Commercial Real Estate Data for Commercial Real Estate Professionals in Europe provides a highly detailed dataset tailored for businesses looking to engage with key decision-makers in the European commercial real estate market. Covering developers, property managers, brokers, and investors, this dataset includes verified contact data, decision-maker insights, and firmographic details to empower your outreach and strategic initiatives.

    With access to over 700 million verified global profiles and data from 70 million businesses, Success.ai ensures your marketing, sales, and partnership efforts are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is indispensable for navigating Europe’s thriving commercial real estate sector.

    Why Choose Success.ai’s Commercial Real Estate Data?

    1. Verified Contact Data for Targeted Outreach

      • Access verified work emails, phone numbers, and LinkedIn profiles of property developers, brokers, asset managers, and investment leads.
      • AI-driven validation ensures 99% accuracy, reducing communication errors and improving outreach effectiveness.
    2. Comprehensive Coverage Across Europe’s Real Estate Sector

      • Includes profiles from major European real estate markets such as the UK, Germany, France, Italy, and the Netherlands.
      • Gain insights into regional market dynamics, investment opportunities, and commercial real estate trends.
    3. Continuously Updated Datasets

      • Real-time updates capture leadership changes, market expansions, and emerging property developments.
      • Stay aligned with the fast-evolving commercial real estate market and seize opportunities effectively.
    4. Ethical and Compliant

      • Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use of data and compliance with legal standards.

    Data Highlights:

    • 700M+ Verified Global Profiles: Connect with decision-makers, property managers, and brokers in Europe’s commercial real estate sector.
    • 70M Business Profiles: Access detailed firmographic data, including company sizes, revenue ranges, and geographic footprints.
    • Leadership Insights: Engage with CEOs, asset managers, and real estate directors driving strategic decisions.
    • Market Intelligence: Gain visibility into property development projects, investment trends, and regional opportunities.

    Key Features of the Dataset:

    1. Decision-Maker Profiles in Real Estate

      • Identify and connect with executives, brokers, and property managers overseeing transactions, asset management, and investment strategies.
      • Target professionals responsible for property acquisitions, leasing, and development.
    2. Firmographic and Geographic Insights

      • Access detailed business information, including company structures, geographic locations, and market specializations.
      • Pinpoint key players in specific regions and align outreach with localized market needs.
    3. Advanced Filters for Precision Campaigns

      • Filter companies by industry focus (commercial properties, retail, industrial), revenue size, or project scope.
      • Tailor your campaigns to address specific challenges, such as tenant retention, sustainability initiatives, or market expansion.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with real estate professionals.

    Strategic Use Cases:

    1. Sales and Lead Generation

      • Present property management tools, software solutions, or investment opportunities to real estate firms and property managers.
      • Build relationships with brokers and developers seeking innovative solutions to streamline operations or enhance profitability.
    2. Market Research and Competitive Analysis

      • Analyze trends in Europe’s commercial real estate market to guide product development and marketing strategies.
      • Benchmark against competitors to identify growth opportunities, underserved segments, and high-value properties.
    3. Partnership Development and Investment Insights

      • Engage with property developers, asset managers, and brokers exploring strategic partnerships or new investment opportunities.
      • Foster alliances that expand market reach, improve property performance, or drive higher returns.
    4. Recruitment and Workforce Solutions

      • Target HR professionals and hiring managers recruiting for roles in property management, real estate finance, or asset development.
      • Provide workforce optimization tools, training platforms, or recruitment services tailored to the commercial real estate sector.

    Why Choose Success.ai?

    1. Best Price Guarantee
      • Access premium-quality commercial real estate data at competitive prices, ensuring strong ROI for your marketing, sales, and business development efforts. ...
  9. House Price Index Guidance

    • data.europa.eu
    • cloud.csiss.gmu.edu
    html
    Updated Aug 12, 2021
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    Office for National Statistics (2021). House Price Index Guidance [Dataset]. https://data.europa.eu/data/datasets/house_price_index_guidance?locale=mt
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    htmlAvailable download formats
    Dataset updated
    Aug 12, 2021
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Trends in the UK housing market is an article bringing together various published sources of UK housing market statistics.

    Source agency: Office for National Statistics

    Designation: Official Statistics not designated as National Statistics

    Language: English

    Alternative title: HPI guidance and methodology

  10. The Economics of London's Housing Market

    • cloud.csiss.gmu.edu
    • gimi9.com
    • +1more
    pdf, xls
    Updated Nov 9, 2015
    + more versions
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    Greater London Authority (GLA) (2015). The Economics of London's Housing Market [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/the-economics-of-londons-housing-market
    Explore at:
    xls, pdfAvailable download formats
    Dataset updated
    Nov 9, 2015
    Dataset provided by
    Greater London Authorityhttp://www.london.gov.uk/
    License

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

    Area covered
    London
    Description

    Through reading this publication you will:

    • gain an understanding of how house prices are set in economics terms, how they are measured, and why the cost of housing matters for London’s economy and its residents

    • see whether incomes and earnings in London have kept pace with the costs of home ownership in London, and see how affordability may be affected by future changes in interest rates

    • find out about the drivers of demand for residential property in London, and how the supply of homes has responded to changing conditions

  11. w

    Housing Sales

    • data.wu.ac.at
    • data.europa.eu
    csv, xls
    Updated Sep 26, 2015
    + more versions
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    London Datastore Archive (2015). Housing Sales [Dataset]. https://data.wu.ac.at/schema/datahub_io/NzY3YTg0MWYtNTQ2NS00NjlkLTlmMGEtYmViNGM3ZTcyNWQ0
    Explore at:
    csv(6392.0), xls(75264.0)Available download formats
    Dataset updated
    Sep 26, 2015
    Dataset provided by
    London Datastore Archive
    License

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

    Description

    Number of properties sold from Land Registry data.

    Excluded from the above figures are sales at less than market price (e.g. Right To Buy), sales below £1,000 and sales above £20m.

    Relevant link: http://www.ons.gov.uk/ons/rel/regional-analysis/house-price-statistics-for-small-areas/index.html

  12. c

    Data from: A new attribute-linked residential property price dataset for...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Jun 6, 2025
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    Chi, B; Dennett, A; Oléron-Evans, T; Morphet, R (2025). A new attribute-linked residential property price dataset for England and Wales 2011-2019 [Dataset]. http://doi.org/10.5255/UKDA-SN-854240
    Explore at:
    Dataset updated
    Jun 6, 2025
    Dataset provided by
    University College London
    Authors
    Chi, B; Dennett, A; Oléron-Evans, T; Morphet, R
    Area covered
    England
    Variables measured
    Housing Unit, Geographic Unit
    Measurement technique
    The Land Registry Price Paid Data (PPD) dataset is open, available online (https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads). The Land Registry PPD records 24,852,949 transactions in England and Wales between 1/1/1995 and 31/10/2019. Domestic Energy Performance Certificates (EPCs) dataset is open and available on-line from the Ministry for Housing, Communities and Local Government - MHCLG. Domestic EPC record a property’s energy performance and its building stock information, such as its total floor area and its number of habitable rooms. The current Domestic EPCs dataset is the third released version and contains certificates issued between 1/10/2008 and 31/8/2019, which records 18,575,357 energy performance data records with 84 fields. These two datasets both contain property information at address level but their address structures are different, thus a matching method containing a four-stage (251 matching rules) process was designed to achieve linkage between them.
    Description

    Land Registry Price Paid Data (PPD) have been published as open data since 2013. These data have been transformative for house price variation research in the UK as they are a comprehensive record of residential transactions at address level and cover the whole of England and Wales over a period dating back to 1995. Despite the utility of these data, a lack of attribute information relating to the properties, such as total floor area information, is identified as one of the major shortcomings of the PPD data. This means that the impacts of stock mix on broader price patterns cannot be fully accounted for. This research outlines one approach which addresses this deficiency by combining transaction information from the official open Land Registry Price Paid Data (PPD) with property size information form the official open Domestic Energy Performance Certificates (EPCs). A four-stage data linkage is created to generate a new linked dataset, representing 79% of the full market sales in the Land Registry PPD. This new linked dataset details 5,732,838 transactions in England and Wales between 2011 and 2019, along with each property's total floor area and the number of habitable rooms. Codes for other commonly used spatial units from Output Area to Local Authority are also included in the dataset. This offers greater flexibility for the exploration of house price variation in England and Wales at different spatial scales. The data collection includes the scripts used for linkage, as well as the resulting dataset.

    Current residential house price variation research in the UK is limited by lack of an open and comprehensive house price database that contains both transaction price alongside dwelling attributes such as size. This research outlines one approach which addresses this deficiency in England and Wales through combining transaction information from the official open Land Registry Price Paid Data (PPD) and property size information form the official open Domestic Energy Performance Certificates (EPCs). A four-stage data linkage is created to generate a new linked data, representing 79% of the full market sales in Land Registry PPD. This new linked dataset offers greater flexibility for the exploration of house price (house price per square metre) variation in England and Wales at different spatial scales over postcode unit between 2011 and 2019.

  13. e

    Broad Rental Market Areas (BRMA)

    • data.europa.eu
    • cloud.csiss.gmu.edu
    • +1more
    csv, zip
    Updated Apr 15, 2012
    + more versions
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    Cambridgeshire Insight (2012). Broad Rental Market Areas (BRMA) [Dataset]. https://data.europa.eu/data/datasets/broad-rental-market-areas-brma1?locale=hu
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Apr 15, 2012
    Dataset authored and provided by
    Cambridgeshire Insight
    License

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

    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.

  14. Property sales based on Land Registry data

    • data.europa.eu
    • cloud.csiss.gmu.edu
    • +1more
    excel xls
    Updated Oct 11, 2021
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    Ministry of Housing, Communities and Local Government (2021). Property sales based on Land Registry data [Dataset]. https://data.europa.eu/data/datasets/property_sales_based_on_land_registry_data
    Explore at:
    excel xlsAvailable download formats
    Dataset updated
    Oct 11, 2021
    Authors
    Ministry of Housing, Communities and Local Government
    License

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

    Description

    Housing market: property sales based on Land Registry data, by district, from 1996 (quarterly) 1-5 Geographies: Local Authority District (LAD), Government Office Region (GOR), National Geographic coverage: England Type of data: Administrative data

  15. CORE - Social housing lettings (LA owned) - Household type

    • data.europa.eu
    • opendatacommunities.org
    • +1more
    html, sparql
    Updated Nov 12, 2015
    + more versions
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    Ministry of Housing, Communities and Local Government (2015). CORE - Social housing lettings (LA owned) - Household type [Dataset]. https://data.europa.eu/data/datasets/core-social-housing-lettings-la-owned-household-type?locale=en
    Explore at:
    html, sparqlAvailable download formats
    Dataset updated
    Nov 12, 2015
    Authors
    Ministry of Housing, Communities and Local Government
    License

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

    Description

    This dataset comprises new general needs lettings, let at social rent levels owned by Local Authorities, classified by household type

    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 household type of each general needs social rent LA letting. Household type is derived from the demographic information for the household, as reported by the tenant. Where any of the household members' age or relationship to the tenant has been refused, the household type is classified as 'other'.

  16. CORE - Social housing lettings (LA owned) - Reason for housing

    • data.europa.eu
    • cloud.csiss.gmu.edu
    • +2more
    html, sparql
    Updated Oct 11, 2021
    + more versions
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    Ministry of Housing, Communities and Local Government (2021). CORE - Social housing lettings (LA owned) - Reason for housing [Dataset]. https://data.europa.eu/data/datasets/core-social-housing-lettings-la-owned-reason-for-housing
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    html, sparqlAvailable download formats
    Dataset updated
    Oct 11, 2021
    Authors
    Ministry of Housing, Communities and Local Government
    License

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

    Description

    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.

  17. e

    Local Housing Allowance changes

    • data.europa.eu
    • cloud.csiss.gmu.edu
    • +1more
    csv, excel xls
    Updated Oct 11, 2021
    + more versions
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    Cambridgeshire Insight (2021). Local Housing Allowance changes [Dataset]. https://data.europa.eu/data/datasets/local-housing-allowance-changes
    Explore at:
    excel xls, csvAvailable download formats
    Dataset updated
    Oct 11, 2021
    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

    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.

  18. e

    BRMA'er, der viser LHA-satser

    • data.europa.eu
    csv, html, json
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    Cambridgeshire Insight, BRMA'er, der viser LHA-satser [Dataset]. https://data.europa.eu/data/datasets/local-housing-allowance-lha-rates-by-broad-rental-market-areas-brma?locale=da
    Explore at:
    html, json, 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

    Disse data indeholder oplysninger om størrelsen og formen af Englands Broad Rental Market Areas (BRMAs) og satserne for Local Housing Allowance (LHA) fastsat for dette område. Noterne nedenfor forklarer mere om, hvad en BRMA og hvad Local Housing Allowance er, og hvordan både områderne og satserne er fastsat. Oplysningerne kommer fra Valuation Office Agency (VOA) og er tilgængelige online på www.gov.uk. Ansøgere bør søge rådgivning om deres individuelle krav fra deres lokale myndighed Housing Benefit Department. VOA stiller en søgefunktion til rådighed for at hjælpe ansøgerne med at finde frem til den LHA, der er relevant for dem. Denne søgning er baseret på postnummer og ejendomsstørrelse.

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United Kingdom (2019). Housing market and house prices [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/uk-housing-market-and-housing-prices

Housing market and house prices

Explore at:
110 scholarly articles cite this dataset (View in Google Scholar)
htmlAvailable download formats
Dataset updated
Dec 31, 2019
Dataset provided by
United Kingdom
License

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

Description

There are a large number of Housing spreadsheets that provide the latest, most useful or most popular data, presented by type and other variables, including by geographical area or on a temporal basis. These spreadsheets are mostely produced from statistical returns completed by Local Authorities, although some are from survey data or external sources.

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