A new attribute-linked residential property price dataset for England and Wales 2011-2019

DOI

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.

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.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-854240
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=eeeaad507e8dca28e0d69e8d9d181ea531ab13acf697af08da366ba0e823e697
Provenance
Creator Chi, B, University College London; Dennett, A, University College London; Oléron-Evans, T, University College London; Morphet, R, University College London
Publisher UK Data Service
Publication Year 2021
Funding Reference UCL-CSC scholarship
Rights Bin Chi, University College London. Adam Dennett, University College London. Thomas Oléron-Evans, University College London. Robin Morphet, University College London; The Data Collection is available to any user without the requirement for registration for download/access. Commercial use of data is not permitted. Additional conditions apply to some of the files in this collections, please see the file 'Licence Information'.
OpenAccess true
Representation
Resource Type Numeric; Text; Geospatial
Discipline Economics; Social and Behavioural Sciences
Spatial Coverage England; Wales