The 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).

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.

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.

The average monthly home rental payment in the United Kingdom (UK) increased steadily since 2008, reaching 1, 258 British pounds in December 2023. In comparison, the average home buying costs amounted to 1,231 British Pounds that year, meaning that homeowners saved 27 British pounds monthly from the difference.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average (CUUR0000SEHA) from Dec 1914 to Sep 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Rental price statistics historical data time series (indices and annual percentage change). These are official statistics in development.

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 Price Index of Private Rents (PIPR) has shown significant growth, reaching a value of 117.9 in January 2025. This marks an increase of approximately 17.9 percent since January 2023, reflecting a robust upward trend in rental prices. Notably, the index saw a steady rise throughout 2024, with an annual percentage change peaking at 9.2 percent in March 2024. Mainstream properties are forecast to see rents further increase until 2028.

Correction coefficients are used to ensure equality of purchasing power of salaries of EU officials in the different duty stations. They are calculated as the ratio between the “economic parity” and the exchange rate to the Euro (where applicable). They operate as a percentage adjustment to remuneration expressed in local currency.

The method used to establish economic parities is to compare the price of a basket of goods and services purchased by the average retired international official in Belgium with the price of an equivalent basket of goods and services purchased by the average retired international official in each of the other countries.

The rent paid for an apartment or house, due to its high weight in the total household expenditure structure, plays a significant role in determining the overall correction coefficient.

Consequently, specific rent surveys are carried out annually in cooperation with relevant real estate agencies. The information obtained, and that derived from similar surveys in previous years, is used to determine the difference in rental prices between Brussels and each of the other locations where the survey is carried out, in rental prices for the same type of dwelling.

The scope of these surveys is to compare the average market rent for some specific kinds of dwellings in some pre-specified representative areas of Brussels with similar dwellings in similar (representative and comparable) areas in other EU capitals and duty stations.

The estate agency rent surveys (EARS) are organised jointly by Eurostat, the International Service for Remunerations and Pensions (ISRP) of the Co-ordinated Organisations and national statistical institutes (NSI) in each duty station, including Brussels, with the collaboration of estate agents in the duty stations concerned.

The work is done in accordance with a methodology approved by the Expert Working Group on Articles 64 & 65 of the Staff Regulations.
Whilst this rent information is collected for a specific purpose, according to a specific methodology, it may also be relevant for other purposes.

Rent Inflation in the United Kingdom decreased to 4.10 percent in October from 4.30 percent in September of 2025. This dataset includes a chart with historical data for the United Kingdom Rent Inflation.

Price to Rent Ratio in the United States increased to 134.04 in the fourth quarter of 2024 from 133.46 in the third quarter of 2024. This dataset includes a chart with historical data for the United States Price to Rent Ratio.

Renting 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.

Israel Rental Prices: Avg: Netanya: 2.5 to 3 rooms data was reported at 3,898.100 ILS in Dec 2024. This records an increase from the previous number of 3,865.200 ILS for Sep 2024. Israel Rental Prices: Avg: Netanya: 2.5 to 3 rooms data is updated quarterly, averaging 3,331.400 ILS from Mar 2017 (Median) to Dec 2024, with 32 observations. The data reached an all-time high of 3,898.100 ILS in Dec 2024 and a record low of 3,034.995 ILS in Mar 2017. Israel Rental Prices: Avg: Netanya: 2.5 to 3 rooms data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.EB009: Average Rental Price: Dwellings.

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.

Context

The purpose of this dataset is to provide updated data on the Zillow Observed Rent Index (ZORI). Most of the Zillow datasets on Kaggle have not been updated in four years, and no other dataset except one contains information related to rent. Providing updated data on this will also allow the community to analyze the effects of COVID-19 on rent prices, which could not be done with previous available data sets.

Content

Zillow Observed Rent Index (ZORI): A smoothed measure of the typical observed market rate rent across a given region. ZORI is a repeat-rent index that is weighted to the rental housing stock to ensure representativeness across the entire market, not just those homes currently listed for-rent. The index is dollar-denominated by computing the mean of listed rents that fall into the 40th to 60th percentile range for all homes and apartments in a given region, which is once again weighted to reflect the rental housing stock. Details available in ZORI methodology. https://www.zillow.com/research/methodology-zori-repeat-rent-27092/

This dataset contains two files. The Metro dataset looks at the median rent prices for large US cities. The ZIP code dataset breaks the US cities down by their ZIP codes. Note that the region IDs in both datasets are only used for tracking purposes. Also, some of the ZIP codes under the Region Name are less than the standard five-digit zip code and unreliable. Even if you add zeros in accounting for possible formatting mistakes. It is recommended to remove these entries since there is no way to identify which ZIP code the entry actually represents. These entries are left in here in case some analyst can solve the issue.

Acknowledgements

Zillow provides many useful open source datasets that relate to housing, which can be found at Zillow Research Data. https://www.zillow.com/research/data/ This dataset was also prompted by an older dataset I came across that only lacked updated data. https://www.kaggle.com/zillow/rent-index Thumbnail and banner picture is from this pixabay artist https://pixabay.com/users/pexels-2286921/

Inspiration

1. Where are the cheapest and most expensive ZIP codes to live?
2. We all know rent increases overtime, but has it been increasing at a faster rate since 2014?
3. If rent has been increasing at a faster rate, what year did it increase the fastest?
4. What cities or ZIP codes are increasing rent the fastest and by how much?
5. Did rent continue to increase during the COVID-19 pandemic, and was it at a faster or slower rate than previous years?

The UK residential rental market is poised for significant growth, with forecasts indicating a cumulative increase of nearly **** percent by 2029. This surge is expected to be front-loaded, with a robust *****percent rise anticipated in 2025. Rental growth has accelerated notably since 2021, with August 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.

Average asking rent price in select Census Metropolitan Areas by rental unit type. The breakdown by number of bedrooms is provided only for apartments. The results are based on an experimental approach, meaning they are derived from recent methodologies and may be subject to revisions. Quarterly data are available starting from the first quarter of 2019.

Turkey TR: Rent Price Index: sa data was reported at 1,791.325 2015=100 in Dec 2025. This records an increase from the previous number of 1,654.611 2015=100 for Sep 2025. Turkey TR: Rent Price Index: sa data is updated quarterly, averaging 31.232 2015=100 from Mar 1982 (Median) to Dec 2025, with 176 observations. The data reached an all-time high of 1,791.325 2015=100 in Dec 2025 and a record low of 0.002 2015=100 in Mar 1982. Turkey TR: Rent Price Index: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Turkey – Table TR.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Quarterly.