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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.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Rental price statistics historical data time series (indices and annual percentage change). These are official statistics in development.
Details 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.
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This dataset is no longer being updated due to redevelopment of private rental prices statistics, impact analysis, UK, please see more information here: Redevelopment of private rental prices statistics, impact analysis, UK - Office for National Statistics (ons.gov.uk).
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
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Price Index of Private Rents (PIPR) data chain-linked to Index of Private Housing Rental Prices. This is a historical series from January 2005 to February 2025.
This dataset is no longer being updated due to redevelopment of private rental prices statistics, impact analysis, UK, please see more information here: Redevelopment of private rental prices statistics, impact analysis, UK - Office for National Statistics (ons.gov.uk). 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
In January 2025, apartment rents recorded an annual growth in most U.S. states. Nevertheless, the national average rent declined by about *** percent. West Virginia was the state with the largest rental increase, while Colorado measured the largest decline. California, one of the most expensive states to rent an apartment, such as California, saw an increase of about *** percent from the previous year. How much should you earn to afford to rent an apartment in different states in the U.S.? Both employment opportunities and the living costs vary widely across the country. In California, which is among the most competitive housing markets in the U.S., the hourly wage needed to afford a two-bedroom apartment rental was roughly ** U.S. dollars, more than twice higher than in North Carolina, Louisiana, or Michigan in 2024. When it comes to the median household income, on the other hand, California does not even make it in the top ten states. How much should you earn to afford a home in some of U.S. largest metros? In 2022, the annual salary needed to buy a median-priced home in the U.S. was ****** U.S. dollars. However, in some of the largest metropolitan areas in the United States, where housing prices are up to two or three times higher, homebuyers would have to earn more than 100,000 U.S. dollars to afford a home. In San Jose, which was the most expensive metro, the annual salary needed for a median-priced home was approximately ******* U.S. dollars.
The median monthly rent recorded between 1 April 2017 and 31 March 2018 in England was £675, from a sample of 482,170 rents.
This release provides statistics on the private rental market for England. The release presents the mean, median, lower quartile and upper quartile total monthly rent paid, for a number of bedroom/room categories. This covers each local authority in England, for the 12 months to the end of March 2018. Geographic maps have also been published as part of this release.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Private rent price statistics, including indices, annual percentage change and price levels.
Rents in the United States declined year-on-year for the first time in June 2023, after surging for two years in a row. In November 2021, rents soared by over ** percent annually — the highest increase on record, and in August 2022, the average rental price reached an all-time high of over ***** U.S. dollars. Rental growth has since mellowed, with January 2025 recording a decline of about *** percent from the same period one year ago. Despite the softening of the market, many states still experienced rising rents.
Between 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.
Tables on:
The previous Survey of English Housing live table number is given in brackets below. Please note from July 2024 amendments have been made to the following tables:
Table FA3244 and FA3245 have been combined into table FA3246.
Table FA3211 has been updated and republished.
For data prior to 2022-23 for the above tables, see discontinued tables.
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Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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An experimental price index tracking the prices paid for renting property from private landlords in the United Kingdom
According to a survey conducted in South Korea as of July 2023, around ** percent of respondents stated that housing rental prices would keep going up over the next year. When asked about the current government's housing policies, approximately ** percent of respondents were satisfied with it.
Description: This data provides a range of statistics on residential rental prices. Data is available on average rental prices (€ per month) for property types by bedroom size – all bedrooms and then 1 to 4 bedrooms.The RTB Rent Index is the most accurate and authoritative report of its kind on the private rental sector in Ireland. The index is based on the RTB’s national register of tenancies and captures actual rents being paid for rented properties, rather than asking prices. The RTB Average Rent Dataset reports on the average rent in a number of locations around the country. The dashboards provide an annual view of transactions from 2008 to 2022.Geography available in RDM: State, Regional Assembly and Strategic Planning Area (SPA), County (26), Key Settlements.Source: Residential Tenancies Board (RTB)Weblink: https://data.cso.ie/table/RIQ02Date of last source data update: August 2023Update Schedule: Annual
In January 2025, the average monthly rent in Greater London reached 2,227 British pounds, confirming its position as the most expensive area for private tenants. Rental prices across England stood at 1,375 British pounds, while the average for Great Britain was recorded at 1,332 British pounds. The North East remains the most affordable region, with rents at 710 British pounds. According to the UK Price Index of Private Rents (PIPR), rental growth has accelerated since 2021, with the cost of rental properties rising by nearly nine percent annually in January 2025.
This statistical release presents the Accredited Official Statistics on the stock owned by local authority registered providers in England on 31 March 2024. Based on data from the Regulator of Social Housing’s Local Authority Data Return (LADR) it provides details of local authority registered provider (LARP) owned stock and details rents reported for low cost rental stock (social and Affordable Rents).
The release comprises a briefing note, a dynamic look-up tool (Excel based) allowing users to view details of stock in individual local authority areas and regions, additional data tables, raw data from the LADR and technical documentation.
The statistics derived from the LADR data and published as local authority registered provider social housing stock and rents in England are considered by the United Kingdom Statistics Authority’s regulatory arm – the Office for Statistics Regulation – to have met the highest standards of trustworthiness, quality and public value, and are considered an Accredited Official Statistic. For more information see the data quality and methodology note.
The responsible statistician for this statistical release was Amanda Hall. The lead official was Will Perry.
These statistics are based on data from the LADR. This return, which was collected by the RSH for the first time in 2020, collects data on stock size, types, location and rents as at 31 March. All registered Local Authority providers of social housing in England are required to complete the LADR, providing the regulator with data on stock and rent levels in order that it may regulate social housing rents.
Prior to 2020 the Ministry for Housing, Communities and Local Government (MHCLG), published similar statistics on stock and rents for Local Authorities based on data collected through their Local Authority Housing Statistic. The differences in collection methodology between the LADR and LAHS and the statistical methodology employed between MHCLG and RSH statistical releases are explored in detail in the technical notes.
Statistical queries on this publication should be directed to the Referrals and Regulatory Enquiries team on 0300 124 5235 or mail enquiries@rsh.gov.uk.
Users are encouraged to provide comments and feedback on how these statistics are used and how they meet their needs either through our feedback rating icons on all published documents or through direct email contact (please send these entitled “LARP statistics feedback” to enquiries@rsh.gov.uk).
An accessible HTML summary of the key findings from the report has been included on this page. If you require any further information, please contact enquiries@rsh.gov.uk.
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Vacation Rental Statistics: Renting a place on vacation is what refreshes our minds. Every year, global tourists focusing on millennials spend around 180 billion dollars on travel every year. Therefore, the market is expected to rise at a CAGR of 5.3% between 2022 to 2030. Today, planning and booking a short or long vacation has become easy, you can simply ask ChatGPT your itinerary for the trip and book on the websites that provide the cheapest price rates for the accommodation. These Vacation Rental Statistics are including the most recent data focusing on global as well as American holiday rental markets. Don’t you think it's already summertime and you should be booking a vacation to the beach? Editor’s Choice Due to the remote working system, the duration of vacations has been increased by 68% resulting in 21 to 30-day stays. As of today, there are 31.3% of privately owned vacation rentals in the United States of America with 600,000 Americans using online platforms to rent out their places. As of 2022, around 138 million nights got booked for rental listing in the United States of America. From a worldwide perspective, revenue in the vacation rentals market is expected to reach $96.85 billion in 2023. The global comparison of Vacation Rental Statistics confirms that in 2023, most of the revenue in the market will be generated from the United States of America. Around the world, 700 million travellers used vacation rentals and more than 60 million Americans preferred to stay in holiday rentals in 2022. As of 2022, the primary booking method for vacation rentals in the United States of America was online methods (76%), and offline methods (24%). The demand for vacation rentals that allow pets have increased by 40%. Furthermore, Vacation Rental Statistics of online booking state that the percentage of the same will rise to 80% by 2026. 43% of the rental hosts manage their property by themselves whereas 25% of the properties are managed by professionals.
VITAL SIGNS INDICATOR List Rents (EC9)
FULL MEASURE NAME List Rents
LAST UPDATED October 2016
DESCRIPTION List rent refers to the advertised rents for available rental housing and serves as a measure of housing costs for new households moving into a neighborhood, city, county or region.
DATA SOURCE real Answers (1994 – 2015) no link
Zillow Metro Median Listing Price All Homes (2010-2016) http://www.zillow.com/research/data/
CONTACT INFORMATION vitalsigns.info@mtc.ca.gov
METHODOLOGY NOTES (across all datasets for this indicator) List rents data reflects median rent prices advertised for available apartments rather than median rent payments; more information is available in the indicator definition above. Regional and local geographies rely on data collected by real Answers, a research organization and database publisher specializing in the multifamily housing market. real Answers focuses on collecting longitudinal data for individual rental properties through quarterly surveys. For the Bay Area, their database is comprised of properties with 40 to 3,000+ housing units. Median list prices most likely have an upward bias due to the exclusion of smaller properties. The bias may be most extreme in geographies where large rental properties represent a small portion of the overall rental market. A map of the individual properties surveyed is included in the Local Focus section.
Individual properties surveyed provided lower- and upper-bound ranges for the various types of housing available (studio, 1 bedroom, 2 bedroom, etc.). Median lower- and upper-bound prices are determined across all housing types for the regional and county geographies. The median list price represented in Vital Signs is the average of the median lower- and upper-bound prices for the region and counties. Median upper-bound prices are determined across all housing types for the city geographies. The median list price represented in Vital Signs is the median upper-bound price for cities. For simplicity, only the mean list rent is displayed for the individual properties. The metro areas geography rely upon Zillow data, which is the median price for rentals listed through www.zillow.com during the month. Like the real Answers data, Zillow's median list prices most likely have an upward bias since small properties are underrepresented in Zillow's listings. The metro area data for the Bay Area cannot be compared to the regional Bay Area data. Due to afore mentioned data limitations, this data is suitable for analyzing the change in list rents over time but not necessarily comparisons of absolute list rents. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.
Due to the limited number of rental properties surveyed, city-level data is unavailable for Atherton, Belvedere, Brisbane, Calistoga, Clayton, Cloverdale, Cotati, Fairfax, Half Moon Bay, Healdsburg, Hillsborough, Los Altos Hills, Monte Sereno, Moranga, Oakley, Orinda, Portola Valley, Rio Vista, Ross, San Anselmo, San Carlos, Saratoga, Sebastopol, Windsor, Woodside, and Yountville.
Inflation-adjusted data are presented to illustrate how rents have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself. Percent change in inflation-adjusted median is calculated with respect to the median price from the fourth quarter or December of the base year.
What is Rental Data?
Rental data encompasses detailed information about residential rental properties, including single-family homes, multifamily units, and large apartment complexes. This data often includes key metrics such as rental prices, occupancy rates, property amenities, and detailed property descriptions. Advanced rental datasets integrate listings directly sourced from property management software systems, ensuring real-time accuracy and eliminating reliance on outdated or scraped information.
Additional Rental Data Details
The rental data is sourced from over 20,000 property managers via direct feeds and property management platforms, covering over 30 percent of the national rental housing market for diverse and broad representation. Real-time updates ensure data remains current, while verified listings enhance accuracy, avoiding errors typical of survey-based or scraped datasets. The dataset includes 14+ million rental units with detailed descriptions, rich photography, and amenities, offering address-level granularity for precise market analysis. Its extensive coverage of small multifamily and single-family rentals sets it apart from competitors focused on premium multifamily properties.
Rental Data Includes:
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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.