Median price paid for residential property in England and Wales, by property type and administrative geographies. Annual data.

This dataset provides information for Cambridgeshire, West Suffolk and Peterborough, showing the age of homes as provided by the Valuation Office Agency, based on council tax records. The first file of data is specifically focussed on identifying homes with solid walls, as part of the Warm Homes project, so the data has been grouped to highlight the small areas (known as Lower Super Output Areas) where homes fall into three specific age bands: Built before 1929 Built between 1930 to 1939 Built between 1945 and 2015 Some build dates are unknown, there are also counted in the data. Homes built before 1929 all tend to have solid walls, as cavity walls had not been invented. Homes built between 1930 and 1939 may or may not have solid walls, in the period when cavity walls were becoming more popular but not yet "the norm". Few homes were built 1939 to 1945. On the whole, homes built since 1945 tend to have cavity walls. So this data set helps us identify where we can find homes which are most likely to have solid walls, and therefore where a solid wall insulation project might want ot focus its attention. The second data file is more detailed and adds further information on the date homes were built, grouped into ten-year bands, and adds the number of homes in each LSO which falls into council tax bands A to H as well.

Starts and completions of new build dwellings in the UK, on a quarterly and annual basis, time series data

UK Government House Price Index (HPI) data, up to and including August 2022.

**UPDATE (19/4/2023): Version 2 of this dataset contains data up to February 2023 in the file 'UK-HPI-full-file-2023-02.csv' ** The dataset consists of various metrics calculated from individual property transaction records. This data is stored on a regional basis with records made for each date period split based on averages across property type (Flat, Terraced, SemiDetached, Detached), method of purchase (Cash, Mortgage), buyer type (First Time Buyer, Former Owner Occupier) and property status (New Build, Existing (Old)).

Each of these subsets has data regarding average prices (normal and seasonally adjusted), sales volume, 12-month percentage price change, 1-month percentage price change, plus an index value which uses hedonic regression - matching sale price data with the attributes of a property (such as number of bedrooms, floor space, etc) to give an overview of the market.

Contains HM Land Registry data © Crown copyright and database right 2020. This data is licensed under the Open Government Licence v3.0.

Update 29-04-2020: The data is now split into two files based on the variable collection frequency (monthly and yearly). Additional variables added: area size in hectares, number of jobs in the area, number of people living in the area.

Context

I have been inspired by Xavier and his work on Barcelona to explore the city of London! 🇬🇧 💂

Content

The datasets is primarily centered around the housing market of London. However, it contains a lot of additional relevant data: - Monthly average house prices - Yearly number of houses - Yearly number of houses sold - Yearly percentage of households that recycle - Yearly life satisfaction - Yearly median salary of the residents of the area - Yearly mean salary of the residents of the area - Monthly number of crimes committed - Yearly number of jobs - Yearly number of people living in the area - Area size in hectares

The data is split by areas of London called boroughs (a flag exists to identify these), but some of the variables have other geographical UK regions for reference (like England, North East, etc.). There have been no changes made to the data except for melting it into a long format from the original tables.

Acknowledgements

The data has been extracted from London Datastore. It is released under UK Open Government License v2 and v3. The underlining datasets can be found here: https://data.london.gov.uk/dataset/uk-house-price-index https://data.london.gov.uk/dataset/number-and-density-of-dwellings-by-borough https://data.london.gov.uk/dataset/subjective-personal-well-being-borough https://data.london.gov.uk/dataset/household-waste-recycling-rates-borough https://data.london.gov.uk/dataset/earnings-place-residence-borough https://data.london.gov.uk/dataset/recorded_crime_summary https://data.london.gov.uk/dataset/jobs-and-job-density-borough https://data.london.gov.uk/dataset/ons-mid-year-population-estimates-custom-age-tables

Cover photo by Frans Ruiter from Unsplash

Inspiration

The dataset lends itself for extensive exploratory data analysis. It could also be a great supervised learning regression problem to predict house price changes of different boroughs over time.

Housing Index in the United Kingdom increased to 514.30 points in July from 512.40 points in June of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset contains supplementary information to Roberts et al. (2019). Predictions of summertime overheating: Comparison of dynamic thermal models and measurements in synthetically occupied test houses. Building Services Engineering Research and Technology. 40 (4), 512-552.This dataset comprises:- File: "GuidanceforModellers_v1.pdf" - full guidance on how to model the Loughborough University Matched Pair test houses.- File: "MeasuredTemperature_16Jun-6Jul_2017.xlsx" - hourly averaged measured operative temperature data for the period of 16 June to 6 July 2017 in the two test houses.- File: "Weather_16Jun-6Jul_2017.xlsx" - weather data measured at the test houses and at the University SABCE weather station for the period 16 June to 6 July 2017.- Folder: "Floorplan_Site_Elevations.zip" - .pdf/.dwg/.dxf files to help you model the test houses.Please send all questions and suggestions to Ben Roberts (b.m.roberts@lboro.ac.uk).The reference below links directly to the Roberts et al. (2019) paper in which this data was used.

Annual house price data based on a sub-sample of the Regulated Mortgage Survey.

This dataset is a combination of the The GeoInformation Groups' Cities Revealed UK building heights and UK individual building classes datasets, although height information is lacking for some buildings, so users may wish to check the UK building heights database in these cases. This dataset provides outlines of building blocks with height information derived from the Cities Revealed LiDAR surveys, high-resolution aerial photography and other height data sources combined with Building Class data. The data were acquired by the Landmap project from The GeoInformation Group (TGG). The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was buildings data. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.

When using these data please also add the following copyright statement: Cities Revealed © The GeoInformation Group yyyy

This house price per square metre dataset is created through complex address-based matching between the Land Registry’s Price Paid Data (LR-PPD) and property size information from the Domestic Energy Performance Certificates (EPC) data published by the Department for Levelling Up, Housing and Communities (DLUHC, formerly MHCLG). Details of the data linkage are published in the UCL Open: Environment along with the related linkage code via the UK Data Service ReShare repository.

During this data linkage process, the transactions assigned as category B (Additional Price Paid entry) and other property types are removed. Here we publish our latest limited attribute version of the uncorrected house price per square metre dataset in England and Wales with the LR-PPD data (1/1/1995-26/2/2021) and Domestic EPCs data (the sixth version, up to 20/9/2020) downloaded on 1/4/2021 for non-commercial purpose. This uncorrected version of house price per square metre dataset records over 18 million transactions with 16 variables in England and Wales since 1995. Unlike in our published article, in this uncorrected version we have not removed transactions with any improbable price per square metre values - i.e. where either the transaction price or total floor area values are null, 0 or too low to be realistic. This uncorrected version of the data will offer the most flexibility for researchers.

We offer technical validation and data cleaning code via the UKDA ReShare repository to help users evaluate the representation of the linked data for a given time period. The data cleaning code shows our methods for cleaning up unlikely floor size records before using this data in analysis. Users can create their own rules and undertake this clean-up process based on their own experience and research aims.

This limited attribute version is published by local authority (2021 version). Details of the 16 variables are described in the explanation file. The National Statistics Postcode Lookup NSPL (May 2021 version) is used to assign the local authority unit for your production of area-based statistics. Users can match historical changes in LA boundaries by choosing appropriate aggregations using, for instance ONSPD, and the postcode variable in our dataset.

An extended version of this dataset containing additional variables is available from UK Data Service Reshare service. Users can directly access this full version dataset (tranall_link_01042021.zip) via the following link: https://reshare.ukdataservice.ac.uk/855033/ . Accompanying LR-PPD and EPC data are also supplied through the ReShare service. Users who would like to attach their own additional variables from the LR-PPD data are advised to use the transactionid variable to link to the LR-PPD (LRPPD_01042021.zip). Users who would like to attach additional variables from the EPC data are advised to use the id variable to link to the sixth version Domestic EPCs (epc6_id.zip).

The 2024 update

The 2024 updated version of the house price per square metre dataset extends the data coverage to the end of 2024 ( hpm_la_2024.zip ). This new version is the result of linking LR-PPD data (01/01/1995–31/10/2024) and Domestic EPCs data (up to 31/10/2024), downloaded on 26/12/2024 for non-commercial purposes. It records over 22 million transactions in England and Wales since 1995.

Unlike the previous versions, this updated removes the id variable (created by the authors) and adds the lmk_key variable (originally from the Domestic EPCs dataset). This change was made because the lmk_key serves as a unique identifier with no duplicate records since 2024.

The match rate of the linked data varies over time; therefore, we recommend users carefully choose the time coverage and validate the data coverage using the match rate. Please note that publicly available Domestic EPCs data starts in 2008, resulting in an extremely low match rate for the period between 1995 and 2008.

The National Statistics Postcode Lookup (November 2024 version) is used to assign local authorities (2023 version)

Local Authority dwelling stock by size, age and type Source: Communities and Local Government (CLG) Publisher: Neighbourhood Statistics Geographies: Local Authority District (LAD), Government Office Region (GOR), National Geographic coverage: England Time coverage: 2001 to 2007 Type of data: Administrative data (based on sample of housing stock recorded by Local Authorities as part of the Housing Investment Programme (HIP), 'Housing Strategy Statistical Appendix' (HSSA) Notes: The data were extracted from the Housing Revenue Account (HRA) forms.

Number of residential property sales in England and Wales, by property type and administrative geographies. Annual data.

A dataset providing Leeds City Council houses by address, includes build date, property type, property size and type, suitable for pets, heating type, restriction on who the property can be let to, number of times a property has become vacant and then let in the last 3 years and the weekly rent charge by banding. Please note This data set was produced as a one off for the city intelligence innovation lab but has been updated in 2019 for a housing project. Due to a change in reporting the 2019 report does not include the Suitable for Pets or Lettings Restriction information. To find out about the lab click here: https://datamillnorth.org/dataset/city-intelligence-innovation-lab

Median price paid for residential property in England and Wales, by property type and middle layer super output area. Annual data.

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

Properties must be licensed by us if: the property is three storeys or more, and the property is let to five or more tenants who form more than one household It is an offence to operate a licensable HMO without a licence. You cannot legally collect any rent on the property and you may be prosecuted with a maximum fine of £20,000. You may also have to repay any rent received over the previous 12-month period.