Property Market Insights from Zoopla Live (Aggregated):

Discover valuable property market insights with our data product sourced from Zoopla Live, one of the UK's premier aggregators of property listings data. Gain access to a comprehensive dataset containing information on 27,000,000 homes, up to 1,000,000 property listings,.

The Urban Big Data Centre (UBDC) systematially collects daily property listings from Zoopla across the entire UK since 2017; and each year, we process and consolidate the collected data into yearly aggregated and harmonized 'analysis-ready' datasets.

Researchers can utilize this dataset to unlock meaningful insights into the property market.

Please note that additional daily data from Zoopla can be made available upon request if the provided aggregated product does not meet specific research requirements. Additionally, it's essential to be aware that each Zoopla year spans 18 months, from the 1st of Oct of the previous year until the 31st of March of the following year.

UBDC’s Zoopla data collection is a dataset that covers housing data since 2017, covering the area of Great Britain. UBDC has an agreement with Zoopla and has access to current property listings via Application Programming Interface (API). We have been collecting the listings since August 2016.

UBDC can provide Live Collected Aggregated Data: Aggregated (yearly) data made from Live Collected data. The Zoopla year is +/- 3 months for each year(= zoopla year 18 months) The collection requires unique property id in the API request.

We have also set up an email discussion list on housing data and related issues that you can join via the JISCMail website:

https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=UBDC-HOUSING-DATA

Note: In accessing this data, you agree that any downloading of content is for non-commercial reference only. No part of these materials may be used for any other purpose or reproduced or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise without the prior consent of the University of Glasgow.

Data is Zoopla Property Group PLC, © 2023, processed by Urban Big Data Centre, University of Glasgow

Details of the data available via Zoopla’s Application Programming Interface (API) can be found at

http://developer.zoopla.com/

The Zoopla Dataset provides a detailed repository of information covering property listings available on the Zoopla platform. Tailored to support businesses, researchers, and analysts in the real estate sector, this dataset delivers valuable insights into market trends, property valuations, and consumer preferences within the real estate market.

With key attributes such as property details, pricing data, location information, and listing history, users can conduct thorough analyses to refine property investment strategies, assess market demand, and identify emerging trends.

Whether you're a real estate agent seeking to enhance your property listings, a researcher investigating trends in the housing market, or an analyst aiming to refine investment strategies, the Zoopla Dataset serves as an essential resource for unlocking opportunities and driving success in the competitive landscape of real estate

The average house price in England started to increase in the first half of 2024, after falling by over three percent year-on-year in December 2023. In June 2024, the house price index amounted to 149.7 index points, suggesting an increase in house prices of 2.4 percent since the same month in 2023 and a roughly 50 percent rise since 2015 - the baseline year for the index. Among the different regions in the UK, West and East Midlands experienced the strongest growth.

In 2022, house price growth in the UK slowed, after a period of decade-long increase. Nevertheless, in August 2024, prices reached a new peak, with the average home costing close to 290,000 British pounds. That 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 50 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 decline in house prices in 2022? 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 14 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 10-year fixed mortgage rate doubled, adding further strain to prospective homebuyers. As a result, the market cooled, leading to a correction in pricing.

Housing Index in Spain increased to 1972.10 EUR/SQ. METRE in the fourth quarter of 2024 from 1921 EUR/SQ. METRE in the third quarter of 2024. This dataset provides the latest reported value for - Spain House Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Median price paid for residential property in England and Wales, for all property types by lower layer super output area. Annual data..

The average price of detached and duplex houses in the biggest cities in Germany varied between approximately 4,500 euros and 10,000 euros per square meter in 2024. Housing was most expensive in Munich, where the square meter price of houses amounted to 9,806 euros. Conversely, Berlin was most affordable, with the square meter price at 4,512 euros. How have German house prices evolved? House prices maintained an upward trend for more than a decade, with 2020 and 2021 experiencing exceptionally high growth rates. In 2021, the nominal year-on-year change exceeded 10 percent. Nevertheless, the second half of 2022 saw the market slowing, with the annual percentage change turning negative for the first time in 12 years. Another way to examine the price growth is through the house price index, which uses 2015 as a base. At its peak in 2022, the German house price index measured about 166 percent, which means that a house bought in 2015 would have appreciated by 66 percent. Is housing affordable in Germany? Housing affordability depends greatly on income: High-income areas often tend to have more expensive housing, which does not necessarily make them unaffordable. The house price to income index measures the development of the cost of housing relative to income. In the first quarter of 2024, the index value stood at 110, meaning that since 2015, house price growth has outpaced income growth by about 10 percent. Compared with the average for the euro area, this value was lower.

The UK housing market continued to show significant regional variations in 2024, with London maintaining its position as the most expensive city for homebuyers. The average house price in the capital stood at 519,579 British pounds in October, nearly double the national average of 292,059 British pounds. However, the market dynamics are shifting, with London experiencing only a modest 0.2 percent annual increase, while other cities like Newcastle upon Tyne and Belfast saw more substantial growth of 8.8 percent and 6.8 percent respectively. Affordability challenges and market slowdown Despite the continued price growth in many cities, the UK housing market is facing headwinds. The affordability of mortgage repayments has become the biggest barrier to property purchases, with the majority of the respondents in a recent survey citing it as their main challenge. Moreover, a rising share of Brits have reported affordability as a challenge since 2021, reflecting the impact of rising house prices and higher mortgage rates. The market slowdown is evident in the declining housing transaction volumes, which have plummeted since 2021. European context The stark price differences are mirrored in the broader European context. While London boasts some of the highest property prices among European cities, a comparison of the average transaction price for new homes in different European countries shows a different picture. In 2023, the highest prices were found in Austria, Germany, and France.

Average annual and quarterly house prices based on Land Registry data, by borough.

Lower and Upper quartile prices are included in the table. Quarterly Lower Quartile data is taken from DCLG Table 583 up to Q3 2011. All other data is from Land Registry.
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.
The "median" property price is determined by ranking all property prices in ascending order.
The median is the mid-point of this ranking with 50 per cent of prices below the median and 50 per cent above
The figures for the latest quarter are provisional and figures for all other quarters have been revised.

Data from CLG Table numbers: 581, 582, 585 and 586.

From the 1st of November 2012 DCLG no longer publishes this data at regional level.

Now also includes monthly data from the Land Registry.

Also available are Average house prices for London, by borough, ward, LSOA and MSOA, based on GLA calculations of Land Registry price paid datasets.

Price Paid Datasets

The full land registry price paid datasets are available to download here. This shows details of each house sale since 1995 in England and Wales. The files are broken down into smaller chunks to make it possible to open in Excel2010.

The England and Wales files contain the following fields:

unique_id
price
date
Post code
Property type
Whether newbuild
Freehold
Address1
Town

Local_authority
County
Record_status
Year
Month
Quarter
Region
Country

The London files contain the following fields:

id (London)
transaction_id
Price
Date_processed
Quarter
Month
Year
Year_month
Post_code
Property_type
Whether_new
Tenure
Address1
Address2
Address3
Address4
Town
Local_authority
County
Record_status
Post_code_clean
Inner_outer
Borough_code
Borough_name
Ward_code
Ward_name
MSOA11
LSOA11
OA11

Download (Beware: large file sizes):

England and Wales 1995-2013 (Zip) 911MB

London 1995-2013 (Zip) 190MB

NB Files correct to end of March 2014.

https://www.gov.uk/government/statistical-data-sets/house-price-index-background-tables

https://www.gov.uk/government/statistical-data-sets/live-tables-on-housing-market-and-house-prices

The Multiple Listing Service (MLS) Listing Software market is projected to expand dramatically in the coming years. The market was valued at USD 231.5 million in 2025 and is estimated to reach USD 638.3 million by 2033, exhibiting a CAGR of 9.1% during the forecast period. The growing adoption of cloud-based technologies, mobile devices, and big data analytics for real estate management is a key driver of the market's growth. Additionally, the increasing demand for efficient property management solutions to streamline workflows and enhance productivity is further fueling market expansion. The market is fragmented, with several key players offering a range of solutions. Some of the prominent companies in the MLS Listing Software market include Zillow, Realtor.com, Rightmove, Trulia, Redfin, Apartment Finder, HotPads, LoopNet, Apartments.com, Zoopla, Rent.com, Auction.com, and others. The market is characterized by intense competition, with vendors focusing on innovation and differentiation to gain a competitive edge. The adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML) is also expected to transform the market landscape. These technologies offer enhanced property search capabilities, personalized recommendations, and predictive analytics, enabling real estate professionals to make informed decisions and optimize their operations.