The monthly house price index in London has increased since 2015, albeit with fluctuation. In August 2025, the index reached 99.1, which is a slight decrease from the same month in 2024. Nevertheless, prices widely varied in different London boroughs, with Kensington and Chelsea being the priciest boroughs for an apartment purchase.

London Property Listings Dataset

Description

This dataset expands upon the original London Property Listings by including additional attributes to facilitate deeper analysis of rental properties in London. It is ideal for research and projects related to real estate trends, price categorization, and area-wise analysis in one of the world's busiest markets.

Dataset Features

• Price: Monthly rental price in GBP.
• Property Type: Classification of the property (e.g., Apartment, Flat).
• Bedrooms: Number of bedrooms in the property.
• Bathrooms: Number of bathrooms.
• Size: Property size in square feet (where available).
• Postcode: Postal code of the property location.
• Area: General area or neighborhood information.
• Price_Category: Categorization of prices into predefined ranges (e.g., Low, Medium, High).
• Area_Avg_Price: Average price of properties within the same area.

Potential Use Cases

• Price Analysis: Study how property attributes impact rental prices.
• Price Prediction Models: Utilize the dataset for machine learning tasks like regression and classification.
• Regional Insights: Compare rental trends across different neighborhoods.
• Categorical Analysis: Investigate trends within predefined price categories.

Data Summary

• Total Records: 29,537
• Total Attributes: 9
• Data Completeness: No missing values. All columns are fully populated.

Attribution

This dataset was prepared and uploaded by Mehmet Emre Sezer. It is intended for educational and non-commercial use.

Prices for prime residential real estate in Central London were expected to decline slightly in 2024, followed by a gradual increase until 2028, according to a *********** forecast. During the five-year period, the prices are forecast to rise by **** percent. In comparison, regional prime property prices and Outer London prime property prices are forecast to grow at a lower rate.

This dataset contains detailed information about rental properties across various locations in the UK. The data was collected by scraping Rightmove, a popular real estate platform. Each entry in the dataset includes the property's address, subdistrict code, rental price, deposit amount, letting type, furnish type, council tax details, property type, number of bedrooms and bathrooms, size in square feet, average distance to the nearest train station, and the count of nearest stations.

Researchers and analysts interested in the UK rental market can utilize this dataset to explore rental trends, pricing variations based on location and property type, amenities preferences, and more. The dataset provides a valuable resource for machine learning models, statistical analysis, and market research in the real estate sector.

Metadata: Source: The data was collected by scraping the Rightmove real estate platform, a leading source for property listings in the UK. Date Range: The dataset covers rental property listings available during the scraping period. Geographical Coverage: Primarily focused on various locations across the UK, providing insights into regional rental markets. Data Fields: Address: The location of the rental property. Subdistrict Code: A code representing the subdistrict or area of the property. Rent: The monthly rental price in GBP (£) for the property. Deposit: The deposit amount required for renting the property. Let Type: Indicates whether the property is available for short-term or long-term rental. Furnish Type: Describes the furnishing status of the property (e.g., furnished, unfurnished, or flexible options). Council Tax: Information about the council tax associated with the property. Property Type: Specifies the type of property, such as apartment, flat, maisonette, etc. Bedrooms: The number of bedrooms in the property. Bathrooms: The number of bathrooms in the property. Size: The size of the property in square feet (sq ft). Average Distance to Nearest Station: The average distance (in miles) to the nearest train station from the property. Nearest Station Count: The count of nearest train stations within a certain distance from the property. Data Quality: The data may contain missing values or "Ask agent" placeholders, which require direct inquiry with agents or landlords for specific information. Potential Uses: The dataset can be used for market analysis, rental price prediction models, understanding property preferences, and exploring the impact of location and amenities on rental properties in the UK.

The house price index in London reached 99.1 index points in May 2025, which was an increase of 2.2 percent year on year. The house price index (HPI) is an easy way of illustrating trends in the house sales market and help simplify house purchase decisions. By using hedonic regression, the index models property price data for all dwellings and shows how much the price has changed since January 2023. Average house prices in Londnon boroughs Location plays a huge role in the price of a home. Kensington and Chelsea and City of Westminster are undoubtedly the most expensive boroughs in London, with an average house price that can exceed one million British pounds. In comparison, a house in Barking and Dagenham cost approximately one third. Nevertheless, the housing market is the busiest in the boroughs with average house prices. How have regional house prices in the UK developed? House prices in other UK regions have risen even more than in London. In Northern Ireland, the house price index reached nearly 120 index points in May 2025, ranking it among the regions with the highest property appreciation. The UK house price index stood at 103 index points, suggesting an increase of 51 percent since 2015.

Dataset Overview

This dataset provides a snapshot of properties listed for sale in London, sourced from the Rightmove website. It includes various property details such as the number of bedrooms, bathrooms, type of property, and price. The dataset is designed for educational purposes, offering insights into real estate trends and allowing data science enthusiasts to apply their skills in the context of property analysis.

Data Science Applications

This dataset is a valuable resource for students and researchers to practice various data science and analytics techniques. Potential applications include: - Exploratory Data Analysis (EDA): Understanding property distribution across London, price trends, and property types. - Price Prediction Models: Building machine learning models to estimate property prices based on available features. - Real Estate Trend Analysis: Analyzing trends in London’s real estate market, such as price fluctuations or differences in property features by neighborhood. - Text Analysis: Using the property descriptions for natural language processing (NLP) to extract keywords or sentiment related to property value or appeal.

Column Descriptions

• addedOn: Date when the property listing was added or updated on the website.
• title: Brief listing title describing the property, typically including the number of bedrooms and the location.
• descriptionHtml: Detailed description of the property, including features and potentially some promotional language.
• propertyType: Type of property, such as House, Terraced, or Detached.
• sizeSqFeetMax: Maximum size of the property in square feet, if provided.
• bedrooms: Number of bedrooms in the property.
• bathrooms: Number of bathrooms in the property.
• listingUpdateReason: Reason for updating the listing (e.g., new listing, price reduction).
• price: Price at which the property is listed for sale.

Ethically Mined Data

This dataset was ethically mined from a publicly accessible website using the APIFY API. All data in this dataset reflects publicly available information about properties listed for sale, with no Personally Identifiable Information (PII) included. The dataset does not include any data that could infringe on individual privacy.

Acknowledgements

• Data Source: Rightmove for providing publicly accessible real estate listings.
• Image Credit: Photo by Douglas Sheppard on Unsplash.

The UK residential real estate market, valued at £360.27 million in 2025, is projected to experience robust growth, driven by several key factors. A consistently strong CAGR of 5.75% indicates a healthy and expanding market over the forecast period (2025-2033). This growth is fueled by increasing urbanization, a growing population, and a persistent demand for housing, particularly in major cities like London. Furthermore, government initiatives aimed at boosting homeownership and infrastructure development contribute positively to market expansion. The market is segmented by property type, with apartments and condominiums, and landed houses and villas representing significant segments. Key players such as Bellway PLC, Barratt Developments PLC, and Berkeley Group dominate the market, while a competitive landscape also includes numerous smaller developers and housing associations. While rising interest rates and construction costs present challenges, the overall outlook remains positive due to the enduring demand and limited housing supply, particularly in desirable areas. However, several factors could influence the market's trajectory. Fluctuations in the national economy, changes in government regulations concerning mortgages and property taxation, and global economic uncertainty could impact buyer confidence and investment. Regional variations also exist, with market dynamics differing across England, Scotland, Wales, and Northern Ireland. Understanding these regional nuances is crucial for targeted investment strategies. The market's resilience will depend on the ability of developers to adapt to changing market conditions and meet evolving consumer preferences for sustainable and energy-efficient housing. The continuous evolution of consumer preferences towards specific types of housing and location preferences will further shape the market's future growth. Recent developments include: May 2023: A UAE-based investment manager, Rasmala Investment Bank, has launched a USD 2bn ( €1.8bn) UK multifamily strategy for a five-year period to build a USD 2bn portfolio of UK residential properties. The strategy is focused on the UK market for multifamily properties through a Shariah-compliant investment vehicle, initially targeting the serviced apartment (SAP) and BTR (build-to-rent) subsectors within and around London. Seeded by Rasmala Group, the strategy is backed by an active investment pipeline for the next 12 – 18 months., November 2022: ValuStrat, a Middle East consulting company, increased its foothold in the UK by acquiring an interest in Capital Value Surveyors, a real estate advisory services company with offices in London. The UK continues to be one of the most established real estate markets worldwide and attracts foreign investors regularly. They are excited to expand their presence there to better serve all of their clients, both in the UK and the Middle East.. Key drivers for this market are: Demand for New Dwellings Units, Government Initiatives are driving the market. Potential restraints include: Demand for New Dwellings Units, Government Initiatives are driving the market. Notable trends are: Increasing in the United Kingdom House Prices.

Graph and download economic data for Residential Property Prices for United Kingdom (QGBN628BIS) from Q2 1968 to Q2 2025 about United Kingdom, residential, HPI, housing, price index, indexes, and price.

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

According to the forecast, house prices in London are expected to continue to increase until 2029. During the five-year period from 2025 to 2029, the house prices for mainstream properties are forecast to rise by **** percent. In 2023, the average house price in London ranged between ******* British pounds and *** million British pounds, depending on the borough. Barking and Dagenham, Bexley, Newham, and Croydon were some of the most affordable boroughs to buy a house.

The average mix-adjusted house price in London, England, peaked in August 2022, followed by a slight correction in 2023. In June 2024, the average house price amounted to about ******* British pounds, up from ******* British pounds a year ago. These recent fluctuations have also been observed by other measures, such as the house price index. The house price index is an important measure for the residential real estate market and is used to show changes in the value of residential properties.

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.

This Power BI project analyzes London housing data to uncover patterns and trends in pricing, borough-wise distribution, affordability, and market growth over time. The dashboard is designed for anyone interested in property investment, urban planning, or simply understanding how the London housing market behaves.

✅ Key Features:

📍 Borough-wise Price Distribution Understand how average property prices vary across different London boroughs.

📈 Trend Analysis Visualize long-term price trends with dynamic line and area charts to observe how the market has evolved over time.

🧮 Affordability Index A calculated metric to measure housing affordability based on price vs income estimations.

🏘️ Property Type Breakdown Interactive visuals showing trends across Flats, Detached, Semi-Detached, and Terraced houses.

🗓️ Time Filters & Slicers Easily filter by year, month, or borough to explore specific time periods or locations.

Art Presence & Property Prices in London

Quantifying the Relationship with Online Data

By [source]

About this dataset

This dataset explores the potential relationship between art presence and property prices in London neighborhoods. We conducted an analysis to investigate this by measuring the proportion of Flickr photographs with the keyword ‘art’ attached. We then compared that data to residential property price gains for each Inner London neighborhood, seeking out any associations or correlations between art presence and housing value. Our findings demonstrate the impact of aesthetics on neighborhoods, illustrating how visual environment influences socio-economic conditions. With this dataset, we aim to show how online platforms can be leveraged for quantitative data collection and analysis which can visualize these relationships so as to better understand our urban settings

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How to use the dataset

This dataset can be used to investigate the relationship between art presence and property prices in London neighborhoods. The dataset includes three columns – Postcode.District, Rank.Mean.Change, and Proportion.Art.Photos – which provide quantitative analyses of the association between art presence and price gains for London neighborhoods.

To use this dataset, first identify the postcode district for which you wish to access data by referencing a street list or PostCodeSearcher website that outlines postcodes for each neighborhood in London(http://postcodesearcher.com/london). This will allow you to easily find properties within each neighborhood as there are specific postcode districts that demarcate boundaries of particular areas (for example W2 covers Bayswater).

Once you have identified a postcode district of interest, review the ‘Rank.Mean Change’ column to explore how residential property prices have changed relative to other areas in Inner London since 2010-13 using fractions (1 = highest gain; 25 = lowest gain). Focusing on one particular location will also provide an idea about their current pricing level compared with others in order to evaluate whether further investment is worthwhile or not based on its past history of growth rates . It is important to note that higher rank numbers indicate higher price gains while lower rank numbers indicate lower price gains relative with respect from 2010-13 timeframe therefore comparing these values across many neighborhoods gives an indication as what area offers more value growth wise over given time period..

Finally pay attention how much did art contributes as far change in property price goes? To answer this question , review ‘Proportion Art Photos’ column which provides ratio of Flickr photographs associated with keyword 'art' attached within given regions helps identify visual characteristics within different localities.. Comparing proportions across various locations provide detail information regarding how much did share visual aesthetic characterstics impacts change in pricings accross different region.. For example it can give us further understandings if majority photographs are made up of urban landscape , abstracts or simply portrait presences had any role play when we look at relativity gains over past few years? Such comparisons help inform our understanding about potential impact art presence can have on changes stay relatively stable even during volatile market times..

By combining this data with other datasets related to demographics, infrastructure and socioeconomics present within londons different areas we can gain further insight which then allows us making informed decisions when it comes investing particular locations .

Research Ideas

• Use this dataset to develop a predictive analytics model to identify areas in London most likely to experience an increase in residential property prices associated with the presence of art.
• Use this dataset to develop strategies and policies that promote both artistic expression and urban development in Inner London neighborhoods.
• Compare the presence of art across inner London boroughs, as well as against other cities, to gain insight into the socio-economic conditions related to the visual environment of a city and its impact on life quality for citizens

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

**License: [CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication](https://creativecommons.org/publicd...

Discover the latest insights on the booming UK real estate services market. This comprehensive analysis reveals a £32.45 billion industry projected to grow at a CAGR of 3% until 2033, driven by urbanization, proptech, and strong demand. Explore market segments, key players, and regional trends impacting property management, valuation, and more. Recent developments include: January 2023: United Kingdom Sotheby's Property Business Acquired by the Dubai Branch of Sotheby's. UK Sotheby International Realty was previously owned by Robin Paterson, who sold the business to his business partner and affiliate, George Azar. George Azar currently holds and operates Sotheby's Dubai and the MENA region., November 2022: JLL identified a shortage of quality rental homes as a long-term problem for the UK, which the recent boom in rentals has accentuated. This unmet need for quality rental homes has led to continued investor interest in purpose-built rental properties in UK city centers. JLL reported that annual investment in UK living real estate reached £10bn (USD 12.73 bn) in Q3 2022, setting living on track for another record year.. Key drivers for this market are: Improvements in Infrastructure and New Development, Population Growth and Demographic Changes. Potential restraints include: Housing Shortages, Increasing Awareness towards Environmental Issues. Notable trends are: Increasing in the United Kingdom House Prices.

Prices for prime residential real estate in Outer London are expected to grow year-on-year, achieving a cumulative increase of over **** percent until 2029. Growth is expected to be slower at first but accelerate toward the end of the period. Meanwhile, Central London prime property prices are projected to experience a slower growth rate.

Discover the thriving UK real estate services market, projected to reach over £44 billion by 2033. This in-depth analysis reveals a 3% CAGR, key drivers, emerging trends, and major players like Hammerson, British Land, and Berkeley Group. Understand market segmentation and regional variations to make informed investment decisions. Key drivers for this market are: Improvements in Infrastructure and New Development, Population Growth and Demographic Changes. Potential restraints include: Housing Shortages, Increasing Awareness towards Environmental Issues. Notable trends are: Increasing in the United Kingdom House Prices.

These National Statistics provide monthly estimates of the number of residential and non-residential property transactions in the UK and its constituent countries. National Statistics are accredited official statistics.

England and Northern Ireland statistics are based on information submitted to the HM Revenue and Customs (HMRC) Stamp Duty Land Tax (SDLT) database by taxpayers on SDLT returns.

Land and Buildings Transaction Tax (LBTT) replaced SDLT in Scotland from 1 April 2015 and this data is provided to HMRC by https://www.revenue.scot/">Revenue Scotland to continue the time series.

Land Transaction Tax (LTT) replaced SDLT in Wales from 1 April 2018. To continue the time series, the https://gov.wales/welsh-revenue-authority">Welsh Revenue Authority (WRA) have provided HMRC with a monthly data feed of LTT transactions since July 2021.

LTT figures for the latest month are estimated using a grossing factor based on data for the most recent and complete financial year. Until June 2021, LTT transactions for the latest month were estimated by HMRC based upon year on year growth in line with other UK nations.

LTT transactions up to the penultimate month are aligned with LTT statistics.

Go to Stamp Duty Land Tax guidance for the latest rates and information.

Go to Stamp Duty Land Tax rates from 1 December 2003 to 22 September 2022 and Stamp Duty: rates on land transfers before December 2003 for historic rates.

The latest release was published 09:30 28 November 2025 and was updated with provisional data from completed transactions during October 2025.

The next release will be published 09:30 09 January 2026 and will be updated with provisional data from completed transactions during November 2025.

https://webarchive.nationalarchives.gov.uk/ukgwa/20240320184933/https://www.gov.uk/government/statistics/monthly-property-transactions-completed-in-the-uk-with-value-40000-or-above">Archive versions of the Monthly property transactions completed in the UK with value of £40,000 or above are available via the UK Government Web Archive, from the National Archives.

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

Summary of UK House Price Index (HPI) price statistics covering England, Scotland, Wales and Northern Ireland. Full UK HPI data are available on GOV.UK.