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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.
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TwitterRents in England's capital, London, declined by *** percent annually as of January 2025. Nevertheless, many boroughs recorded growing rental prices, with Bromley and Croydon observing double-digit growth. Across the region, Croydon, Barking, Dagenham, and Havering ranked as some of the most affordable areas to rent. As shown by the Index of Private Housing Rental Prices, rents in the UK have soared since the COVID-19 pandemic.
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TwitterThe average agreed rent for new tenancies in the UK ranged from *** British pounds to ***** British pounds, depending on the region. On average, renters outside of London paid ***** British pounds, whereas in London, this figure amounted to ***** British pounds. Rents have been on the rise for many years, but the period after the COVID-19 pandemic accelerated this trend. Since 2015, the average rent in the UK increased by about ** percent, with about half of that gain achieved in the period after the pandemic. Why have UK rents increased so much? One of the main reasons driving up rental prices is the declining affordability of homeownership. Historically, house prices grew faster than rents, making renting more financially feasible than buying. In 2022, when the house price to rent ratio index peaked, house prices had outgrown rents by nearly ** percent since 2015. As house prices peaked in 2022, home buying slowed, exacerbating demand for rental properties and leading to soaring rental prices. How expensive is too expensive? Although there is no official requirement about the proportion of income spent on rent for it to be considered affordable, a popular rule is that rent should not exceed more than ** percent of income. In 2024, most renters in the UK exceeded that threshold, with the southern regions significantly more likely to spend upward of ** percent of their income on rent. Rental affordability has sparked a move away from the capital to other regions in the UK, such as the South East (Brighton and Southampton), the West Midlands (Birmingham) and the North West (Liverpool, Manchester, Blackpool and Preston).
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TwitterRenting an apartment in Cambridge cost on average ***** British pounds per month in July 2025. This made it one of the most expensive cities for renters in the UK after London. In London region, the average rent amounted to ***** British pounds. According to the source, this figure shows the asking rent, adjusted for achieved rents. A comparison of the rent prices of different London boroughs shows that costs may vary by several hundred and even over a thousand British pounds. Looking at the regional prices, Northern Ireland, Wales, and the Northeast emerged as the regions with the most affordable rents.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Median monthly rental prices for the private rental market in England by bedroom category, region and administrative area, calculated using data from the Valuation Office Agency and Office for National Statistics.
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TwitterThis statistic illustrates the monthly average rental price for one bedroom apartment in a new development in 2013, by London boroughs. By far the most expensive boroughs in London with respect to monthly rental of new apartments were Camden, with ***** British pounds (GBP) monthly per one bedroom flat and Westminster, with ***** GBP. For comparison, London-wide average monthly rental price for one bedroom new apartment was ***** GBP in 2013.
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TwitterIn the five-year period between 2025 and 2029, the prime residential rent for existing properties in Greater London is expected to increase by 17.1 percent. The highest percentage change is expected to occur in 2025 and 2029, when rents are to rise by 3.5 percent. In the UK, rental growth has accelerated notably since 2021, with March 2024 experiencing a decade-high annual percentage growth. The trend reflects the complex interplay between housing affordability, mortgage rates, and supply of rental homes as the UK housing market navigates a period of transition.
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Twitterhttp://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
The Index of Private Housing Rental Prices (IPHRP) is a quarterly experimental price index. It tracks the prices paid for renting property from private landlords in Great Britain.
IPHRP is produced from a number of administrative sources and is classified as experimental by ONS.
The index compares trends (rather than levels) in average private sector rents across English regions, Wales and Scotland. It uses a complex mix-adjustment and weighting process to produce a single index for each area. This index uses data on actual new and ongoing rents.
The sample ensures that the index is representative of the stock at regional level and that it isn't distorted by units dropping out of the sample because they switch to LHA or for other reasons. This is an advantage over the VOA dataset where the sample is changing over time and may not be representative.
Tables show monthly data. Data is updated once a quarter.
Index level (January 2011 = 100). Not seasonally adjusted.
See more on the ONS Website
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
This dataset was prepared and uploaded by Mehmet Emre Sezer. It is intended for educational and non-commercial use.
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TwitterDetails about the different data sources used to generate tables and a list of discontinued tables can be found in Rents, lettings and tenancies: notes and definitions for local authorities and data analysts.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">151 KB</span></p>
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This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
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This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
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TwitterLondon is the most expensive city for office real estate in Europe. In 2023, the per square foot cost of office space in London was higher than in any other European city. In West End, a Grade A office cost about 90 British pounds per square foot in 2023. Prime offices were even more expensive, at 135 British pounds per square meter. Office yields Prime yields in Central London fluctuate depending on the district, but West End areas tend to have lower yields compared to other areas, such as Stratford or Canary Wharf. The prime office yield in Mayfair/St. James' in 2023 was the lowest among the major London office submarkets. In real estate, yields measure the potential return of a rental property and are calculated as the ratio of the property's rental income to the investment cost. Typically, prime office yields in London are lower than the rest of the UK, which is mostly due to the highly competitive market and high investment costs. Vacancy rates Despite the high office rental costs in England’s capital city, vacancy rates in many of London's main office markets were below seven percent in 2023. This is good news for the office sector, as during the coronavirus (COVID-19) pandemic, the share of vacant office space across all Central London districts spiked dramatically. Compared to other European cities, London was in the middle of the ranking, alongside Frankfurt and Lisbon.
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TwitterHistorical market performance data including occupancy rates, average daily rates, and revenue trends
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TwitterThis statistic shows the average (mean) monthly cost of private sector rents in London, England in the financial year 2018/2019, by area. Kensington and Chelsea had the highest monthly private sector rents of ***** British pounds. In comparison, the amount of the average rental cost in London - that year was ***** British pounds.
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TwitterThe release presents the mean (average), median, lower quartile, and upper quartile gross monthly rent paid (ignoring any adjustment for services not eligible for housing benefit), for a number of bedroom/room categories (see methodology section) for each local authority (LA) in England for the 12 months to the end of March 2014.
For all tables, where the calculated statistics are derived from fewer than 10 observations, these statistics will be suppressed and appear as ‘-‘.
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TwitterThis publication shows estimates of average farm rents paid in England under full agricultural tenancies, farm business tenancies, seasonal agreements and informal agreements, as well as the area of land covered by these agreements.
Next update: see the statistics release calendar
Defra statistics: Farm Business Survey
Email mailto:fbs.queries@defra.gov.uk">fbs.queries@defra.gov.uk
<p class="govuk-body">You can also contact us via X: <a href="https://x.com/DefraStats" class="govuk-link">https://x.com/DefraStats</a></p>
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TwitterRenters in the UK spent on average 32.5 percent of their income on rent as of January 2025. Scotland and Yorkshire and Humber were the most affordable regions, with households spending less than 28 percent of their gross income on rent. Conversely, London, South West, and South East had a higher ratio. Greater London is the most expensive region for renters Greater London has a considerably higher rent than the rest of the UK regions. In 2024, the average rental cost in Greater London was more than twice higher than in the North West or West Midlands. Compared with Greater London, rent in the South East region was about 600 British pounds cheaper. London property prices continue to increase In recent years, house prices in the UK have been steadily increasing, and the period after the COVID-19 pandemic has been no exception. Prime residential property prices in Central London are forecast to continue rising until 2027. A similar trend in prime property prices is also expected in Outer London.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Price to Rent Ratio in the United Kingdom decreased to 111.37 in the second quarter of 2025 from 113.72 in the first quarter of 2025. This dataset includes a chart with historical data for the United Kingdom Price to Rent Ratio.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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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.
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TwitterBetween 2008 and 2024, the average weekly rent for private renters in England has shown a significant increase. In the 2009, the average rent was 153 British pounds, and by 2024, it had risen to 237 British pounds. Excluding London, the average rent started at 130 British pounds in 2009 and reached 191 British pounds in 2024, demonstrating a similar upward trend but at a lower rate compared to the overall average in England. Rental households in England Renting is common in England. Nearly one in five households occupied a dwelling that was privately rented in 2024. While the majority of households in the country live in an owner-occupied home, this percentage has declined since the early 2000s. Meanwhile, the share of households occupying a private rental has doubled over the past decade. This shows a growing rental sector and a shift in tenure trends in the country. Buying vs renting costs For a long time, the average monthly costs of buying a home were lower than renting. In 2021, housing costs started to increase steeply, closely followed by rental costs. This resulted in the gap nearly closing in 2023. This trend can also be observed through the house price to rent ratio - an index that follows the development of house prices relative to rents, with 2015 as a baseline year. Between 2015 and 2022, the ratio grew steadily, indicating that property prices rise faster than rents. However, with rental growth accelerating and catching up with property prices in 2022, the index declined notably.
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TwitterODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Context
Since 2008, guests and hosts have used Airbnb to expand on traveling possibilities and present more unique, personalized way of experiencing the world. This dataset describes the listing activity and metrics in London, Dubai, San Francisco, Tokyo, Sydney, Miami, and Toronto in 2023. The data is owned by Airbtics.
Airbtics is a short-term rental data & analytics company monitoring 20 million listings from various short-term rental booking sites.
Content
This data file includes all needed information to find out more about listings, hosts, geographical availability, necessary metrics, such as last twelve months occupancy rate, daily rate and revenue, to make predictions and draw conclusions.
Acknowledgements
This public dataset is part of Airbnb, and the original source can be found on this website. The data was processed by Airbtics.
Inspiration
How much does a typical 2-bedroom Airbnb listing make compared to a 3-bedroom in London? What is the average occupancy rate of Airbnb listings in London?
To find more granular data in other cities, visit Airbtics.
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
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.