Last updated on 22 Feb 2025

Introduction

This dataset provides comprehensive information on property sales in England and Wales, sourced from the UK government's HM Land Registry. Although the government site claims to update on the same day each month, actual updates can vary. To bridge this update variation gap, our fully automated ETL pipeline retrieves the official government data on a daily basis. This ensures that the dataset always reflects the most current transaction data available.

ETL Process

Our ETL (Extract, Transform, Load) process is designed to automate the data update and publishing workflow: 1. Extract:
The pipeline uses web scraping to retrieve the latest data from the official government website. This step is necessary as the site does not offer an API. 2. Transform:
Before loading the data, the ETL pipeline processes the dataset to ensure consistency and usability. As part of the transformation stage, the first column (Transaction_unique_identifier) is removed. This column is dropped during staging to focus on the most relevant transactional information. The column removal successfully reduces the data file size from almost 6GB to 3.1GB, and therefore will greatly increase the data analysis efficiency, and reduces the chance of kernal error/restart. 3. Load:
Finally, the transformed data is loaded into the dataset.

The transformed data is loaded into the dataset in two parts: - Complete Data (pp-complete.csv): This file encompasses all records from January 1995 to the present. The complete data file is replaced during each update to reflect any corrections or additional historical data. The first column is price. - Monthly Data: A separate monthly file is amended each month. This monthly archive ensures a complete record of updates over time, allowing users to track changes and trends more granularly.

Summary of Results

The dataset (pp-complete.csv) contains records of property sales dating back to January 1995, up to the most recent monthly data. It covers various types of transactions—from residential to commercial properties—providing a holistic view of the real estate market in England and Wales.

Column Descriptions

The original data includes the following columns: - Transaction_unique_identifier
- price
- Date_of_Transfer
- postcode
- Property_Type
- Old/New
- Duration
- PAON
- SAON
- Street
- Locality
- Town/City
- District
- County
- PPDCategory_Type
- Record_Status - monthly_file_only

Note: As part of the transformation process, the Transaction_unique_identifier column is removed from the final published pp-complete.csv data file. Therefore the first column of the pp-complete.csv file is price.

Address data Explanation - Postcode: The postal code where the property is located. - PAON (Primary Addressable Object Name): Typically the house number or name. - SAON (Secondary Addressable Object Name): Additional information if the building is divided into flats or sub-buildings. - Street: The street name where the property is located. - Locality: Additional locality information. - Town/City: The town or city where the property is located. - District: The district in which the property resides. - County: The county where the property is located. - Price Paid: The price for which the property was sold.

Legal and Ethical Considerations

Ownership and Attribution This dataset is the property of HM Land Registry and is released under the Open Government Licence (OGL). If you use or publish this dataset, you are required to include 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."

Usage Guidelines

The data can be used for both commercial and non-commercial purposes.

The OGL does not cover third-party rights, which HM Land Registry is not authorized to license. For any other use of the Address Data, you must contact Royal Mail.

Suggested Usages

Market Trend Analysis: Understand the ups and downs of the property market over time. Investment Research: Identify potential areas for property investment. Academic Studies: Use the data for economic research and studies related to the housing market. Policy Making: Assist government agencies in making informed decisions regarding housing policies. Real Estate Apps: Integrate the data into apps that provide property price information services.

By using this dataset, you agree to abide by the terms and conditions as specified by HM Land Registry. Failure to do so may result in legal consequences.

Housing Index in the United Kingdom increased to 517.10 points in October from 514.20 points in September of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Comparative analysis of Rightmove, Halifax, ONS, and Nationwide house price indices for August 2025, including regional performance and market implications

UK house price, regional house prices, rents and yields

Nationwide Housing Prices in the United Kingdom increased to 543.06 points in October from 542.60 points in September of 2025. This dataset provides - United Kingdom Nationwide Housing Prices- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Explore the Halifax House Price Index (HPI) — one of the UK’s leading indicators of housing market trends. Interactive charts, drawdown data, and monthly updates from Halifax, part of Lloyds Banking Group.

View monthly updates and historical trends for UK House Price Index. from United Kingdom. Source: Office for National Statistics. Track economic data with…

View monthly updates and historical trends for UK Scotland House Price Index. from United Kingdom. Source: Office for National Statistics. Track economic …

UK bearing housing market forecast to reach 77K tons and $1.6B by 2035. Analysis covers production, consumption, import-export trends, and key supplier and buyer countries.

The 10 largest mortgage lenders in the United Kingdom accounted for approximately 83 percent of the total market, with the top three alone accounting for 48 percent in 2024. Lloyds Banking Group had the largest market share of gross mortgage lending, with nearly 47 billion British pounds in lending in 2024. HSBC, which is the largest UK bank by total assets, ranked fifth. Development of the mortgage market In 2024, the value of outstanding in mortgage lending to individuals amounted to 1.6 trillion British pounds. Although this figure has continuously increased in the past, the UK mortgage market declined dramatically in 2024, registering the lowest value of mortgage lending since 2015. In 2020, the COVID-19 pandemic caused the market to contract for the first time since 2012. The next two years saw mortgage lending soar due to pent-up demand, but as interest rates soared, the housing market cooled, leading to a decrease in new loans of about 100 billion British pounds. The end of low interest rates In 2021, mortgage rates saw some of their lowest levels since recording began by the Bank of England. For a long time, this was particularly good news for first-time homebuyers and those remortgaging their property. Nevertheless, due to the rising inflation, mortgage rates started to rise in the second half of the year, resulting in the 10-year rate doubling in 2022.

Housing prices and number of transactions by dwelling type.

House sales not at full market value are excluded.

Ownership of this dataset remains with the Communities and Local Government (CLG). Information can only be reproduced if the source is fully acknowledged.

The Land Registry (LR) and CLG have provided these datasets drawn from the Land Register.

Information on outliers, that is transactions involving a very low or very high price, is included so that users can take their impact into account when using the data.

Available for Middle Layer Super Output Area (MSOA).

NOTE: This data has not been updated since 2009.

See more on the ONS NESS website.

According to Cognitive Market Research, The Global Property Management Service market was estimated at USD 14.5 billion in 2022 and is projected to grow at a compound annual growth rate (CAGR) of 7.8% from 2023 to 2030. Rising Demands for SaaS-based Property Management Software to Expand Market Penetration

Subscription-based SaaS solutions benefit companies of all sizes. Businesses increasingly use SaaS solutions to optimize operations by automating workflows and removing manual input. Businesses can also lower the cost and complexity of on-premises deployment by installing SaaS solutions. SaaS software assists large multifamily property management organizations integrate several technologies across their portfolio. In addition, the SaaS model is crucial for multi-vendor device compatibility with legacy systems.

For instance, Planon collaborated with AddOnn in March 2021 to combine AddOnn's SaaS solution with Planon's software platform for building and service digitalization to provide end-to-end solutions to end-users worldwide.

(Source:planonsoftware.com/uk/news/planon-and-addonn-launch-partnership-with-introduction-of-mobile-cleaning-solution/)

Employees in real estate organizations rely on up-to-date information to make vital decisions. SaaS systems allow users to access information from any location and device with internet connectivity. A SaaS platform can help property managers link their property solutions with sophisticated payment services for quick and easy transactions.

Evolving Trends of Workforce Mobility to Strengthen Market Share

Many employees nowadays prefer to work from home rather than in offices, corporate headquarters, or a global company branch. This contributes to the need for flexible access to office resources and data. Besides, organizations are using virtual workplaces to reduce their physical infrastructure requirements to a bare minimum, allowing them to be more flexible and use their office space better. Many businesses seek mobility, workplace, and other integrated facility management solutions. This enables property managers to retain productivity while working with a huge crew. These solutions can be used by associated real estate agents & property managers to maintain track of all the properties they manage and the routine maintenance that needs to be performed on them. As a result, the rising trend of workplace mobility is propelling the property management service industry forward.

For instance, Entrata Inc. reported the integration of Alexa with residential buildings in April 2021. This integration would enable property managers to monitor or set up Alexa-enabled devices in each unit, allowing them to create voice-controlled automated homes.

(Source:www.prnewswire.com/news-releases/entrata-enables-alexa-experience-at-scale-with-amazons-alexa-for-residential-301263114.html)

Market Dynamics of Property Management Service

Integration Complexity and Data Security Concerns to Limit Market Growth

One significant restraint property management software services face is the complexity of integrating with existing systems and databases. Many property management companies already have established tools for accounting, tenant communication, maintenance tracking, and more. Implementing new software solutions can lead to compatibility challenges and difficulties in transferring data seamlessly. Furthermore, as property management software handles sensitive information such as tenant details, financial records, and property documents, ensuring robust data security becomes critical. Any breaches or unauthorized access can lead to legal consequences, financial losses, and company reputation damage.

Impact of COVID-19 on the Property Management Service Market

The COVID-19 pandemic significantly impacted the property management service market, introducing shifts in tenant behavior, remote work trends, and economic uncertainties that prompted property managers to adapt their strategies. Lockdowns and travel restrictions decreased demand for short-term rentals, while remote work trends increased the significance of property amenities and flexible leasing options. Property managers incorporated virtual tours, contactless services, and enhanced sanitation measures to address safety concerns. Moreover, the pandemic accelerated the adoption of proptech solutions for remote property monitoring and digital communication, reshap...

View monthly updates and historical trends for UK Average House Price YoY. from United Kingdom. Source: Office for National Statistics. Track economic dat…

The UK market for bearing housings with ball or roller bearings is forecast to grow to 77K tons and $1.6B by 2035, driven by strong domestic demand and production, with key insights on trade dynamics and price trends.

Construction Orders in the United Kingdom increased 29.30 percent in September of 2025 over the same month in the previous year. This dataset provides - United Kingdom Construction Orders- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The English Housing Survey (EHS) is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. The EHS brings together two previous survey series into a single fieldwork operation: the English House Condition Survey (EHCS) (available from the UK Data Archive under GN 33158) and the Survey of English Housing (SEH) (available under GN 33277). The EHS covers all housing tenures. The information obtained through the survey provides an accurate picture of people living in the dwelling, and their views on housing and their neighbourhoods. The survey is also used to inform the development and monitoring of the Ministry's housing policies. Results from the survey are also used by a wide range of other users including other government departments, local authorities, housing associations, landlords, academics, construction industry professionals, consultants, and the general public. The EHS has a complex multi-stage methodology consisting of two main elements; an initial interview survey of around 12,000 households and a follow-up physical inspection. Some further elements are also periodically included in or derived from the EHS: for 2008 and 2009, a desk-based market valuation was conducted of a sub-sample of 8,000 dwellings (including vacant ones), but this was not carried out from 2010 onwards. A periodic follow-up survey of private landlords and agents (the Private Landlords Survey (PLS)) is conducted using information from the EHS interview survey. Fuel Poverty datasets are also available from 2003, created by the Department for Energy and Climate Change (DECC).

The EHS interview survey sample formed part of the Integrated Household Survey (IHS) (available from the Archive under GN 33420) from April 2008 to April 2011. During this period the core questions from the IHS formed part of the EHS questionnaire.

End User Licence and Special Licence Versions: From 2014 data onwards, the End User Licence (EUL) versions of the EHS will only include derived variables. In addition the number of variables on the new EUL datasets has been reduced and disclosure control increased on certain remaining variables. New Special Licence versions of the EHS will be deposited later in the year, which will be of a similar nature to previous EHS EUL datasets and will include derived and raw datasets.

Further information about the EHS and the latest news, reports and tables can be found on the GOV.UK English Housing Survey web pages. The English Housing Survey, 2011-2012: Household Data comprises the full interview data (plus associated derived variables) for all cases where an interview has been completed. Datasets are provided for single financial years together with annual weights. The survey consists of a detailed interview using a CAPI based program. An interview is first conducted with the householder. For 2011-12 a cost review of the EHS resulted in several changes such as a reduction to the EHS sample size, a reduction in the questionnaire content and the cessation of the desk based market valuation of sub-sampled properties.

This dataset should be used for any analysis where only information from the household interview is required. Users who also require data from the physical survey should use the English Housing Survey, 2011: Housing Stock Data (available from the Archive in September 2013). Interview topics included: household characteristics, satisfaction with the home and the area, disability and adaptations to the home, work done to the property and income details.

In the aftermath of the shock win for leave in the UK’s referendum on EU membership, there has been considerable uncertainty over the short- and long-term impacts on the UK economy. This report provides an overview of the impact Brexit has had on key economic indicators such as GDP, interest rates, unemployment and the housing market, and the subsequent impact on consumer confidence and retail growth and projections. Read More

Explore the growing demand for bearing housings with ball or roller bearings in the UK market and the projected upward consumption trend for the next decade.