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.

In the first quarter of 2025, Portugal, Croatia, and the Netherlands had the highest house price to rent ratio index in Europe. The three countries ranked the highest, with house price to rent indices exceeding *** index points. The house price to rent ratio is an indicator of the affordability of owning housing over renting across European countries, with 2015 used as a base year. The higher the ratio, the more the gap between house prices and rental rates has widened since 2015 when the index amounted to 100. In terms of house price to income ratio, the top three countries were Portugal, the Netherlands, and Switzerland. Homeownership in Europe Homeownership varies widely across European countries. In some, such as Austria, Germany, and Switzerland, homeownership is relatively low, with less than ********** of people occupying a dwelling owned by a member of the household. In other countries (Iceland, the Netherlands, Norway, and Sweden), more than **** of people were owner-occupiers with a mortgage. A third group of countries with a high homeownership rate without a housing loan includes many Eastern and South European countries, among which were Serbia, Romania, North Macedonia, Italy, and Bulgaria. Dwellings as a non-financial asset Dwellings, along with structures, land, and intellectual property, are classified as non-financial assets and form an important part of household wealth. Through sale, refinancing, or renting, they can serve as an additional source of income. In 2022, France, Germany, and Norway were the European countries with the highest value of dwellings per capita as a non-financial asset with values between ****** and ****** euros per capita.

Since 2015, the gap between the cost of buying a home and renting has grown, with homeownership becoming increasingly less affordable. In the ***** ******* of 2024, the house price to rent ratio in the UK stood at *****. That meant that house price growth has outpaced rental growth by nearly ** percent between 2015 and 2024. The UK's house price to rent ratio was slightly below the average Euro area ratio. House price to income ratio in the UK Another indicator for housing affordability is the house price to income ratio, which is calculated by dividing nominal house prices by the nominal disposable income per head. The ratio saw an overall increase between 2015, which was the base year, and 2022. After that, the index declined, but remained close to the average for the Euro area. Is it more affordable to rent or buy? There are many things to be considered when comparing buying to renting, such as the ability to qualify for a mortgage and whether prospective homebuyers have sufficient savings for a deposit. Generally, purchasing a home is more affordable than renting one. However, the average monthly savings first-time buyers can achieve have been on the decline. In East of England, where house prices have increased rapidly over the past few years, it was cheaper to rent than to buy in 2022.

United States US: Price to Rent Ratio: sa data was reported at 133.530 2015=100 in 2024. This records an increase from the previous number of 133.173 2015=100 for 2023. United States US: Price to Rent Ratio: sa data is updated yearly, averaging 89.750 2015=100 from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 137.339 2015=100 in 2022 and a record low of 89.750 2015=100 in 1997. United States US: Price to Rent Ratio: 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 United States – Table US.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual. Nominal house prices divided by rent price indices

The house price to rent ratio index in the U.S. declined in the second half of 2022 and remained stable until the end of 2024, indicating that house price growth slowed down compared to rental growth. At its peak, in the second quarter of 2022, the index stood at *****. House prices increased dramatically since the coronavirus pandemic. Meanwhile, rents have grown notably, but at a slower rate. What does the house price to rent ratio index measure? The house-price-to-rent-ratio measures the evolution of house prices compared to rents. It is calculated by dividing the median house price by the median annual rent. In this statistic, the values have been normalized with 100 equaling the 2015 ratio. Consequentially, a value under 100 means that rental rates have risen more than house prices. Compared to the OECD countries average, the gap between house prices and rents in the United States was wider. The house price to rent ratio in different countries The house price to rent ratio in the United Kingdom continued to increase in the second half of 2022, but growth softened, as the housing market cooled. On the other hand, the index in Germany fell drastically between the second quarter of 2022 and the second quarter of 2023. A similar trend was observed in France.

Australia Standardised Price-Rent Ratio: sa data was reported at 168.732 Ratio in Dec 2024. This records a decrease from the previous number of 171.919 Ratio for Sep 2024. Australia Standardised Price-Rent Ratio: sa data is updated quarterly, averaging 70.511 Ratio from Sep 1972 (Median) to Dec 2024, with 210 observations. The data reached an all-time high of 189.671 Ratio in Mar 2022 and a record low of 48.119 Ratio in Sep 1972. Australia Standardised Price-Rent Ratio: 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 Australia – Table AU.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Quarterly. Nominal house prices divided by rent price indices. The long-term average is calculated over the whole period available when the indicator begins after 1980 or after 1980 if the indicator is longer. This value is used as a reference value. The ratio is calculated by dividing the indicator source on this long-term average, and indexed to a reference value equal to 100.

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Price to Rent Ratio in Canada decreased to 125.50 in the third quarter of 2025 from 128.87 in the second quarter of 2025. This dataset includes a chart with historical data for Canada Price to Rent Ratio.

France FR: Price to Rent Ratio: sa data was reported at 117.734 2015=100 in 2024. This records a decrease from the previous number of 125.604 2015=100 for 2023. France FR: Price to Rent Ratio: sa data is updated yearly, averaging 75.149 2015=100 from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 129.085 2015=100 in 2022 and a record low of 58.056 2015=100 in 1997. France FR: Price to Rent Ratio: 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 France – Table FR.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual. Nominal house prices divided by rent price indices

Price to Rent Ratio in Norway increased to 119.06 in the third quarter of 2025 from 118.62 in the second quarter of 2025. This dataset includes a chart with historical data for Norway Price to Rent Ratio.

Switzerland Price to Rent Ratio: sa data was reported at 125.208 2015=100 in 2024. This records a decrease from the previous number of 125.755 2015=100 for 2023. Switzerland Price to Rent Ratio: sa data is updated yearly, averaging 97.525 2015=100 from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 141.820 2015=100 in 1989 and a record low of 74.756 2015=100 in 2002. Switzerland Price to Rent Ratio: 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 Switzerland – Table CH.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual. Nominal house prices divided by rent price indices

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.

The house price to rent ratio in Norway stood at ****** points in the first quarter of 2025. This is higher than the observation from the first quarter one year earlier, when the ratio had been ****** points.

Japan JP: Price to Rent Ratio: sa data was reported at 132.703 2015=100 in 2024. This records an increase from the previous number of 129.382 2015=100 for 2023. Japan JP: Price to Rent Ratio: sa data is updated yearly, averaging 125.671 2015=100 from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 185.251 2015=100 in 1991 and a record low of 91.768 2015=100 in 2009. Japan JP: Price to Rent Ratio: 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 Japan – Table JP.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual. Nominal house prices divided by rent price indices

Germany DE: Price to Rent Ratio: sa data was reported at 127.280 2015=100 in 2024. This records a decrease from the previous number of 132.141 2015=100 for 2023. Germany DE: Price to Rent Ratio: sa data is updated yearly, averaging 124.182 2015=100 from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 159.163 2015=100 in 1981 and a record low of 89.430 2015=100 in 2010. Germany DE: Price to Rent Ratio: 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 Germany – Table DE.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual. Nominal house prices divided by rent price indices

The house price to rent ratio in Greece was ****** points in the first quarter of 2025. This is lower than the observation from the first quarter one year earlier, when the ratio had been ****** points.

Romania Price to Rent Ratio: sa data was reported at 105.906 2015=100 in Dec 2024. This records a decrease from the previous number of 108.438 2015=100 for Sep 2024. Romania Price to Rent Ratio: sa data is updated quarterly, averaging 111.883 2015=100 from Mar 2009 (Median) to Dec 2024, with 64 observations. The data reached an all-time high of 140.668 2015=100 in Dec 2009 and a record low of 97.263 2015=100 in Jun 2014. Romania Price to Rent Ratio: 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 Romania – Table RO.OECD.AHPI: House Price Index: Seasonally Adjusted: Non OECD Member: Quarterly. Nominal house prices divided by rent price indices

Price to Rent Ratio in Denmark increased to 129.42 in the second quarter of 2025 from 129.09 in the first quarter of 2025. This dataset includes a chart with historical data for Denmark Price to Rent Ratio.

Real Estate Breakeven Analysis for U.S. Home Types

Buy vs Rent Comparison Across Markets

By Zillow Data [source]

About this dataset

This dataset provides a comprehensive analysis of the current real estate situation in the United States. It includes breakeven analysis charts that compare buying vs renting across major U.S. markets. This dataset contains various metrics such as home types, housing stock, price-to-income ratio, cash buyers, mortgage affordability and rental affordability to name a few. This data has been compiled using Zillow's own data along with TransUnion financing survey data and the Freddie Mac Primary Mortgage Market Survey to provide an accurate understanding of each metro area’s market health and purchasing power for buyers and renters alike. By downloading this information you can compare different regions based on size rank and other factors to get full insights regarding their potential fit for your needs or investments strategies as well as any potential risks associated with each region's housing market health

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How to use the dataset

This dataset is for real estate professionals, owner-occupants, potential buyers and renters who are interested in understanding which U.S. markets offer the most favorable home buying or rental opportunities from a financial perspective over the long term.

The “Real Estate Breakeven Analysis for U.S Home Types” dataset contains data pulled from Zillow's current and forecasted housing market metrics across many different real estate regions in the United States including cities, counties, states, metro areas and combined statistical areas (CSAs). The data includes several measures of affordability such as median price-to-rent ratio (MedPR), median breakeven horizon (MedBE) - which refers to how long it takes to make up purchase costs when compared with renting; cash purchaser share; mortgage rate; mortgage affordability indices; rental affordability rates etc.

In order to analyze and compare buying vs renting decisions across various regions in the US this dataset provides breakeven analysis at various levels of geographies i.e., state names, region types (city/metro area/county) and show how long it will take homeowners to break even on their purchase costs when compared with renting in that region over a longer period of time using discounted cash flow methodology. This information helps people understand what type of transaction is a better fit for them by weighing short term vs long term goals accordingly by evaluating these different factors related to housing metrics carefully before making financial decisions about purchasing or renting properties in desired location(s).

To use this dataset one can use either basic filters like RegionType or RegionName or more detailed filter criteria like CountyName, City name , Metro area name , State Name etc . For example if someone wanted to look at properties available for rent only then they can apply filters based on Province Type =‘Rental’ Also one can further refine searches based on filtering them with defined SampleRate , Median Price – To – Rent Ratio …..etc . This could be useful if seekers would want only specific type of property like Condominium/Coop /Multifamily 5+ Units /Duplex Triplex listing etc …and then apply other parameters like Cash Buyers percent , Mortgage Affordability Rate….etc ..in order narrow down search results while looking at Breakeven scores /horizons in their target locations . One should take advantages of all relevant parameters while searching through data before making any decision related with owning rental properties so that they can make sure best possible investment decision given

Research Ideas

• Visualizing changes in real estate trends across regions by comparing price to rent ratios, mortgage affordability indices and cash buyers over time.
• Market segmentation analysis based on region-level market characteristics such as negative equity data, rental affordability, median house values and population size.
• Predicting housing demand within a particular region based on its breakeven horizon or price to rent ratio

Acknowledgements

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

License

See the dataset description for more information.

Columns

File: BreakEven_2017-03.csv | Column name | Description | |:----------------|:----------------------------------------------------...

We study the joint evolution of prices and rents of residential property. We construct indices for both rents and prices of renter-occupied properties and for prices of owner-occupied properties. We then decompose the change in the price of occupant-owned property into three components: (1) changes in rent, (2) changes in the relative prices of investor- and occupant-owned properties, and (3) changes in the price-rent ratio. We use a simple model to link our decomposition to different sources of variation in house prices. We argue that while the 2000s boom was plausibly driven by exuberant expectations, the boom of the 2020s more likely resulted from a preference shock.