26 datasets found
  1. Price-to-rent ratio in selected countries worldwide 2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Price-to-rent ratio in selected countries worldwide 2024 [Dataset]. https://www.statista.com/statistics/458543/price-to-income-ratio-of-housing-worldwide/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Turkey, Russia, Portugal, and Latvia were the countries with the highest house price-to-rent-ratio in the ranking in the second quarter of 2024. In all three countries, the ratio exceeded *** index points, meaning that house price growth had outpaced rents by over ** percent between 2015 and 2024. What does the house-price-to-rent ratio show? The house-price-to-rent-ratio measures the evolution of house prices compared to rents. It is generally 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. When all OECD countries are considered as a whole, the gap between house prices and rents was wider than in the Euro area. Measures of housing affordability The national house-price-to-rent ratio may not fully reflect the cost of housing in a particular country, as it does not capture the price variations that can exist between different regions. It also does not take into consideration the relationship between incomes and housing costs, which is measured by the house-price-to-income and household-rent-to-income ratios. Taking both these factors into account uncovers vast differences in housing affordability between different regions and different professions.

  2. Household rent to income ratio in the UK 2025, by region

    • statista.com
    Updated Mar 10, 2025
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    Statista (2025). Household rent to income ratio in the UK 2025, by region [Dataset]. https://www.statista.com/statistics/752217/household-rent-to-income-ratio-by-region-uk/
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    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    United Kingdom
    Description

    Renters 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.

  3. T

    United States Price to Rent Ratio

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 27, 2025
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    TRADING ECONOMICS (2025). United States Price to Rent Ratio [Dataset]. https://tradingeconomics.com/united-states/price-to-rent-ratio
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    xml, json, excel, csvAvailable download formats
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 1970 - Dec 31, 2024
    Area covered
    United States
    Description

    Price to Rent Ratio in the United States increased to 134.20 in the fourth quarter of 2024 from 133.60 in the third quarter of 2024. This dataset includes a chart with historical data for the United States Price to Rent Ratio.

  4. t

    GROSS RENT AS PERCENTAGE OF INCOME - DP04_MAN_T - Dataset - CKAN

    • portal.tad3.org
    Updated Jul 23, 2023
    + more versions
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    (2023). GROSS RENT AS PERCENTAGE OF INCOME - DP04_MAN_T - Dataset - CKAN [Dataset]. https://portal.tad3.org/dataset/gross-rent-as-percentage-of-income-dp04_man_t
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    Dataset updated
    Jul 23, 2023
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    SELECTED HOUSING CHARACTERISTICS GROSS RENT AS PERCENTAGE OF INCOME - DP04 Universe - Occupied units paying rent Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Gross rent as a percentage of household income is a computed ratio of monthly gross rent to monthly household income (total household income divided by 12). The ratio is computed separately for each unit and is rounded to the nearest tenth. Units for which no rent is paid and units occupied by households that reported no income or a net loss comprise the category “Not computed."

  5. House-price-to-income ratio in selected countries worldwide 2024

    • statista.com
    • ai-chatbox.pro
    Updated May 6, 2025
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    Statista (2025). House-price-to-income ratio in selected countries worldwide 2024 [Dataset]. https://www.statista.com/statistics/237529/price-to-income-ratio-of-housing-worldwide/
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

  6. House price to rent ratio in the UK 2015-2024, per quarter

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). House price to rent ratio in the UK 2015-2024, per quarter [Dataset]. https://www.statista.com/statistics/592108/house-price-to-rent-ratio-uk/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    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.

  7. Average residential rent in Germany 2012-2024, by city

    • statista.com
    • ai-chatbox.pro
    Updated Jun 16, 2025
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    Statista (2025). Average residential rent in Germany 2012-2024, by city [Dataset]. https://www.statista.com/statistics/801560/average-rent-price-of-residential-property-in-germany-by-city/
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    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    Rents in Germany continued to increase in all seven major cities in 2024. The average rent per square meter in Munich was approximately **** euros — the highest in the country. Conversely, Düsseldorf had the most affordable rent, at approximately **** euros per square meter. But how does renting compare to buying? According to the house price to rent ratio, house prices in Germany have risen faster than rents, making renting more affordable than buying. Affordability of housing in Germany In 2023, Germany was among the European countries with a relatively high house price to income ratio in Europe. The indicator compares the affordability of housing across OECD countries and is calculated as the nominal house prices divided by nominal disposable income per head, with 2015 chosen as a base year. Between 2012 and 2022, property prices in the country rose much faster than income, with the house price to income index peaking at *** index points at the beginning of 2022. Slower house price growth in the following years has led to the index declining, as incomes catch up. Nevertheless, homebuyers in 2024 faced significantly higher mortgage interest rates, contributing to a higher final cost. How much does buying a property in Germany cost? Just as with renting, Munich was the most expensive city for newly built apartments. In 2024, the cost per square meter in Munich was almost ***** euros pricier than in the runner-up city, Frankfurt. Detached and semi-detached houses are usually more expensive. The price gap between Munich and the second most expensive city, Stuttgart, was nearly ***** euros per square meter.

  8. Average price of single-family homes in the Netherlands 2024, by province

    • ai-chatbox.pro
    • statista.com
    Updated Jan 10, 2024
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    Statista Research Department (2024). Average price of single-family homes in the Netherlands 2024, by province [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F4265%2Fresidential-real-estate-in-the-benelux%2F%23XgboD02vawLbpWJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Netherlands
    Description

    What is the average price of residential property in the Netherlands? In the third quarter of 2024, a single-family home cost approximately 434,000 euros. There were large differences between the Dutch provinces, however. Single-family homes were most expensive in the central province of Utrecht with an average price of 731,000 euros, whereas a similar house in Groningen had an average price tag of 384,000 euros. Overall, the average price a private individual would pay when buying any type of existing residential property (such as single-family homes but also, for example, an apartment) was approximately 416,000 euros in 2023. Do the Dutch prefer to buy or to rent a house? The Netherlands had a slightly higher homeownership rate (the share of owner-occupied dwellings of all homes) in 2023 than other countries in Northwestern Europe. About 70 percent of all Dutch houses were owned, whereas this percentage was lower in Germany, France, and the United Kingdom. This is an effect of past developments: the price to rent ratio (the development of the nominal purchase price of a house divided by the annual rent of a similar place with 2015 as a base year) shows that the gap between house prices and rents has continuously widened in recent years. Despite a slight decline in the ratio due to slowing house price growth and accelerating rental growth, in 2023, the cost of buying a home had grown significantly faster relative to the cost of renting. Mortgages in the Netherlands Additionally, the Netherlands has one of the highest mortgage debts among private individuals in Europe. In 2024, total debt exceeded 839 billion euros. This has a political background, as the Dutch tax system allowed homeowners for many years to deduct interest paid on mortgage from pre-tax income for a maximum period of thirty years, essentially allowing for income support for homeowners. In the Netherlands, this system is known as hypotheekrenteaftrek. Note that since 2014, the Dutch government is slowly scaling this down, with a planned acceleration from 2020 onwards.

  9. American Housing Survey, 2009: New Orleans Data

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Apr 18, 2016
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    United States. Bureau of the Census (2016). American Housing Survey, 2009: New Orleans Data [Dataset]. http://doi.org/10.3886/ICPSR30943.v1
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    stata, r, delimited, spss, sas, asciiAvailable download formats
    Dataset updated
    Apr 18, 2016
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/30943/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/30943/terms

    Time period covered
    2009
    Area covered
    New Orleans, Louisiana, United States
    Description

    This data collection is part of the American Housing Metropolitan Survey (AHS-MS, or "metro") which is conducted in odd-numbered years. It cycles through a set of 21 metropolitan areas, surveying each one about once every six years. The metro survey, like the national survey, is longitudinal. This particular survey provides information on the characteristics of a New Orleans metropolitan sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record. Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information. Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.

  10. A

    ‘ Zillow Housing Aspirations Report’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘ Zillow Housing Aspirations Report’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-zillow-housing-aspirations-report-28aa/30d4e5d5/?iid=000-068&v=presentation
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    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘ Zillow Housing Aspirations Report’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/zillow-housing-aspirations-reporte on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    Additional Data Products

    Product: Zillow Housing Aspirations Report

    Date: April 2017

    Definitions

    Home Types and Housing Stock

    • All Homes: Zillow defines all homes as single-family, condominium and co-operative homes with a county record. Unless specified, all series cover this segment of the housing stock.
    • Condo/Co-op: Condominium and co-operative homes.
    • Multifamily 5+ units: Units in buildings with 5 or more housing units, that are not a condominiums or co-ops.
    • Duplex/Triplex: Housing units in buildings with 2 or 3 housing units.

    Additional Data Products

    • Zillow Home Value Forecast (ZHVF): The ZHVF is the one-year forecast of the ZHVI. Our forecast methodology is methodology post.
    • Zillow creates our negative equity data using our own data in conjunction with data received through our partnership with TransUnion, a leading credit bureau. We match estimated home values against actual outstanding home-related debt amounts provided by TransUnion. To read more about how we calculate our negative equity metrics, please see our here.
    • Cash Buyers: The share of homes in a given area purchased without financing/in cash. To read about how we calculate our cash buyer data, please see our research brief.
    • Mortgage Affordability, Rental Affordability, Price-to-Income Ratio, Historical ZHVI, Historical ZHVI and Houshold Income are calculated as a part of Zillow’s quarterly Affordability Indices. To calculate mortgage affordability, we first calculate the mortgage payment for the median-valued home in a metropolitan area by using the metro-level Zillow Home Value Index for a given quarter and the 30-year fixed mortgage interest rate during that time period, provided by the Freddie Mac Primary Mortgage Market Survey (based on a 20 percent down payment). Then, we consider what portion of the monthly median household income (U.S. Census) goes toward this monthly mortgage payment. Median household income is available with a lag. For quarters where median income is not available from the U.S. Census Bureau, we calculate future quarters of median household income by estimating it using the Bureau of Labor Statistics’ Employment Cost Index. The affordability forecast is calculated similarly to the current affordability index but uses the one year Zillow Home Value Forecast instead of the current Zillow Home Value Index and a specified interest rate in lieu of PMMS. It also assumes a 20 percent down payment. We calculate rent affordability similarly to mortgage affordability; however we use the Zillow Rent Index, which tracks the monthly median rent in particular geographical regions, to capture rental prices. Rents are chained back in time by using U.S. Census Bureau American Community Survey data from 2006 to the start of the Zillow Rent Index, and Decennial Census for all other years.
    • The mortgage rate series is the average mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate mortgage in 15-minute increments during business hours, 6:00 AM to 5:00 PM Pacific. It does not include quotes for jumbo loans, FHA loans, VA loans, loans with mortgage insurance or quotes to consumers with credit scores below 720. Federal holidays are excluded. The jumbo mortgage rate series is the average jumbo mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate, jumbo mortgage in one-hour increments during business hours, 6:00 AM to 5:00 PM Pacific Time. It does not include quotes to consumers with credit scores below 720. Traditional federal holidays and hours with insufficient sample sizes are excluded.

    About Zillow Data (and Terms of Use Information)

    • Zillow is in the process of transitioning some data sources with the goal of producing published data that is more comprehensive, reliable, accurate and timely. As this new data is incorporated, the publication of select metrics may be delayed or temporarily suspended. We look forward to resuming our usual publication schedule for all of our established datasets as soon as possible, and we apologize for any inconvenience. Thank you for your patience and understanding.
    • All data accessed and downloaded from this page is free for public use by consumers, media, analysts, academics etc., consistent with our published Terms of Use. Proper and clear attribution of all data to Zillow is required.
    • For other data requests or inquiries for Zillow Real Estate Research, contact us here.
    • All files are time series unless noted otherwise.
    • To download all Zillow metrics for specific levels of geography, click here.
    • To download a crosswalk between Zillow regions and federally defined regions for counties and metro areas, click here.
    • Unless otherwise noted, all series cover single-family residences, condominiums and co-op homes only.

    Source: https://www.zillow.com/research/data/

    This dataset was created by Zillow Data and contains around 200 samples along with Unnamed: 1, Unnamed: 0, technical information and other features such as: - Unnamed: 1 - Unnamed: 0 - and more.

    How to use this dataset

    • Analyze Unnamed: 1 in relation to Unnamed: 0
    • Study the influence of Unnamed: 1 on Unnamed: 0
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit Zillow Data

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  11. Residential real estate price to income ratio in South America 2023, by city...

    • statista.com
    Updated Dec 13, 2023
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    Statista (2023). Residential real estate price to income ratio in South America 2023, by city [Dataset]. https://www.statista.com/statistics/1352979/south-america-apartment-price-to-income-ratio/
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    Dataset updated
    Dec 13, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South America, Argentina
    Description

    Buenos Aires, Argentina, was the least affordable city in South America in the first half of 2022 to buy an apartment. The ratio measures the number of years needed for a two-earner household where one person works full time and one person works half-time to buy a 90-square meter apartment. It assumes the property has the average square meter price for the city and that home buyers earn the average net salary. Montevideo, Uruguay, was one of the most affordable cities, where it took about nine years to buy an apartment.

  12. T

    Canada Price to Rent Ratio

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +10more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS, Canada Price to Rent Ratio [Dataset]. https://tradingeconomics.com/canada/price-to-rent-ratio
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 1970 - Mar 31, 2025
    Area covered
    Canada
    Description

    Price to Rent Ratio in Canada decreased to 134.71 in the first quarter of 2025 from 134.87 in the fourth quarter of 2024. This dataset includes a chart with historical data for Canada Price to Rent Ratio.

  13. T

    United Kingdom Price to Rent Ratio

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +10more
    csv, excel, json, xml
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    TRADING ECONOMICS, United Kingdom Price to Rent Ratio [Dataset]. https://tradingeconomics.com/united-kingdom/price-to-rent-ratio
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 30, 1968 - Mar 31, 2025
    Area covered
    United Kingdom
    Description

    Price to Rent Ratio in the United Kingdom increased to 113.72 in the first quarter of 2025 from 113.62 in the fourth quarter of 2024. This dataset includes a chart with historical data for the United Kingdom Price to Rent Ratio.

  14. American Housing Survey, 2009: National Microdata

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Mar 10, 2016
    + more versions
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    United States. Bureau of the Census (2016). American Housing Survey, 2009: National Microdata [Dataset]. http://doi.org/10.3886/ICPSR30941.v1
    Explore at:
    spss, stata, delimited, ascii, r, sasAvailable download formats
    Dataset updated
    Mar 10, 2016
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/30941/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/30941/terms

    Time period covered
    2009
    Area covered
    United States
    Description

    This data collection provides information on the characteristics of a national sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record. Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information. Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.

  15. Rent as a share of household income of U.S. Millennials 1980-2009

    • statista.com
    Updated Nov 2, 2011
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    Statista (2011). Rent as a share of household income of U.S. Millennials 1980-2009 [Dataset]. https://www.statista.com/statistics/223449/median-gross-rent-as-a-share-of-pre-tax-household-income-of-us-millennials/
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    Dataset updated
    Nov 2, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1980 - 2009
    Area covered
    United States
    Description

    The statistic shows the median gross rent* as a share of pre-tax household income of Millennials aged 18 to 34 in the United States from 1980 to 2009. In 2009, 18-to 24-year olds spent 32 percent of their household income on rent.

  16. Ratio of working households' housing expenses to disposable income in Japan...

    • statista.com
    Updated Mar 12, 2025
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    Statista (2025). Ratio of working households' housing expenses to disposable income in Japan 2014-2023 [Dataset]. https://www.statista.com/statistics/1289461/japan-housing-expenses-share-disposable-income-working-households/
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    Dataset updated
    Mar 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In 2023, the average monthly housing expenses of working households in Japan accounted for 11.7 percent of their average disposable income. The share of housing expenditure to disposable income per month increased for the second time in the past decade.

  17. g

    American Housing Survey, 2009: Seattle Data

    • datasearch.gesis.org
    Updated Mar 21, 2016
    + more versions
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    United States Department of Commerce. Bureau of the Census (2016). American Housing Survey, 2009: Seattle Data [Dataset]. http://doi.org/10.3886/ICPSR30942
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    Dataset updated
    Mar 21, 2016
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    United States Department of Commerce. Bureau of the Census
    Area covered
    Seattle, United States
    Description

    This data collection is part of the American Housing Metropolitan Survey (AHS-MS, or "metro") which is conducted in odd-numbered years. It cycles through a set of 21 metropolitan areas, surveying each one about once every six years. The metro survey, like the national survey, is longitudinal. This particular survey provides information on the characteristics of a Seattle metropolitan sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record. Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information. Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.

  18. Quarterly real house price index Australia 2019-2024

    • ai-chatbox.pro
    • statista.com
    Updated May 27, 2025
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    Statista Research Department (2025). Quarterly real house price index Australia 2019-2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F4987%2Fresidential-housing-market-in-australia%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    May 27, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Australia
    Description

    Australia’s real house price index fell to 119.9 in the fourth quarter of 2024. House prices fluctuated over the reported period compared to the base year of 2015, experiencing a sharp increase throughout 2021, with the country’s house price index peaking in the first quarter of 2022 at 131. Prospective homeowners priced out of the market Recent house price increases reflect the ongoing challenges of housing affordability in Australia. Property prices largely outpace income growth, reigniting discussions about whether the country is stuck in a property bubble, a topic that has been debated for over a decade. The country’s house price-to-income ratio hit 122.5 in the second quarter of 2024, the highest ratio recorded over the past five years, making it increasingly difficult to get on the property ladder. Unaffordable rental conditions Australia’s rental market has also seen challenges, with the rent price index continuing to climb throughout 2024 into the first quarter of 2025, making the prospect of renting less appealing. As of March 2025, the average weekly house rent price in Sydney stood at 775 Australian dollars, the highest across the country’s major cities. Canberra, Darwin, and Perth were the next most expensive markets for house rents, while Hobart was the most affordable capital city for both house and unit rent prices.

  19. Gross rent as a share of household income in the U.S. 2023

    • statista.com
    Updated May 7, 2025
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    Statista (2025). Gross rent as a share of household income in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/186732/gross-rent-as-a-percent-of-household-income-in-the-us/
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    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Approximately 42.5 percent of residents in renter-occupied housing units in the United States paid gross rent which exceeded 35 percent of their income in 2023. In comparison, about 12.3 percent paid less than 15 percent of their gross household income.

  20. a

    Household Characteristics for the Population 15 Years and Over of Canada,...

    • hamiltondatacatalog-mcmaster.hub.arcgis.com
    Updated Feb 3, 2023
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    jadonvs_McMaster (2023). Household Characteristics for the Population 15 Years and Over of Canada, Hamilton Census Sub Division, Census 2021 [Dataset]. https://hamiltondatacatalog-mcmaster.hub.arcgis.com/maps/ac6f21a31e3b4e05bf90e4076ad23bcd
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    Dataset updated
    Feb 3, 2023
    Dataset authored and provided by
    jadonvs_McMaster
    Area covered
    Canada
    Description

    Data quality:Total non-response (TNR) rate, short-form census questionnaire: 2.5%Total non-response (TNR) rate, long-form census questionnaire: 3.5%Notes: 50: Tenure refers to whether the household owns or rents their private dwelling. The private dwelling may be situated on rented or leased land or be part of a condominium. A household is considered to own their dwelling if some member of the household owns the dwelling even if it is not fully paid for, for example if there is a mortgage or some other claim on it. A household is considered to rent their dwelling if no member of the household owns the dwelling. A household is considered to rent that dwelling even if the dwelling is provided without cash rent or at a reduced rent or if the dwelling is part of a cooperative. For historical and statutory reasons shelter occupancy on Indian reserves or settlements does not lend itself to the usual classification by standard tenure categories. Therefore a special category 'dwelling provided by the local government First Nation or Indian band ' has been created for census purposes. 51: Condominium status refers to whether the private dwelling is part of a condominium development. A condominium is a residential complex in which dwellings are owned individually while land and common elements are held in joint ownership with others.52: Bedrooms refers to rooms in a private dwelling that are designed mainly for sleeping purposes even if they are now used for other purposes such as guest rooms and television rooms. Also included are rooms used as bedrooms now even if they were not originally built as bedrooms such as bedrooms in a finished basement. Bedrooms exclude rooms designed for another use during the day such as dining rooms and living rooms even if they may be used for sleeping purposes at night. By definition one-room private dwellings such as bachelor or studio apartments have zero bedrooms. 53: Rooms refers to enclosed areas within a private dwelling which are finished and suitable for year round living. The number of rooms in a private dwelling includes kitchens bedrooms and finished rooms in the attic or basement. The number of rooms in a private dwelling excludes bathrooms halls vestibules and rooms used solely for business purposes. Partially divided rooms are considered to be separate rooms if they are considered as such by the respondent (e.g. L-shaped dining-room and living-room arrangements). 54: Number of persons per room - Refers to an indicator of the level of crowding in a private dwelling. It is calculated by dividing the number of persons in the household by the number of rooms in the dwelling. 55: Housing suitability refers to whether a private household is living in suitable accommodations according to the National Occupancy Standard (NOS); that is whether the dwelling has enough bedrooms for the size and composition of the household. A household is deemed to be living in suitable accommodations if its dwelling has enough bedrooms as calculated using the NOS. 'Housing suitability' assesses the required number of bedrooms for a household based on the age sex and relationships among household members. An alternative variable 'persons per room ' considers all rooms in a private dwelling and the number of household members. Housing suitability and the National Occupancy Standard (NOS) on which it is based were developed by Canada Mortgage and Housing Corporation (CMHC) through consultations with provincial housing agencies. 56: Period of construction refers to the period in time during which the building or dwelling was originally constructed. This refers to the period in which the building was completed not the time of any later remodeling additions or conversions. For properties having multiple residential structures this refers to the period in which the most recent structure was completed. 57: Includes data up to May 11 2021. 58: Dwelling condition refers to whether the dwelling is in need of repairs. This does not include desirable remodelling or additions. 59: Refers to whether or not a person residing in the household is responsible for paying the rent or the mortgage or the taxes or the electricity or other services or utilities. Where a number of people may contribute to the payments more than one person in the household may be identified as a household maintainer. If no person in the household is identified as making such payments the reference person is identified by default. 60: Primary household maintainer - The first person in the household identified as someone who pays the rent or the mortgage or the taxes or the electricity or other services or utilities for the dwelling. When more than one member of the household contributes to the payments the first person listed is chosen as the primary household maintainer. If no person in the household is identified as making any such payments the first person listed is selected by default. The order of the persons in a household is determined by the order in which they are listed on the questionnaire. Generally an adult is listed first followed if applicable by their spouse or common-law partner and then by their children. The order does not necessarily correspond to the proportion of household payments made by each person. 61: Shelter-cost-to-income ratio - Refers to the proportion of average total income of household which is spent on shelter costs. Shelter-cost-to-income ratio is calculated for private households who reported a total household income greater than zero. Private households located on an agricultural operation that is operated by a member of the household and households who reported a zero or negative total household income are excluded. The relatively high shelter-costs-to-household income ratios for some households may have resulted from the difference in the reference period for shelter costs and household total income data. The reference period for shelter cost data is 2021 while household total income is reported for the year 2020. As well for some households the 2020 household total income may represent income for only part of a year. For more information on household total income or shelter costs refer to the Census Dictionary: Total income and Shelter cost. 62: Acceptable housing refers to whether a household meets each of the three indicator thresholds established by the Canada Mortgage and Housing Corporation for housing adequacy, suitability and affordability. Housing indicator thresholds are defined as follows: *Adequate housing is reported by their residents as not requiring any major repairs. *Affordable housing has shelter costs equal to less than 30% of total before-tax household income. *Suitable housing has enough bedrooms for the size and composition of resident households according to the National Occupancy Standard (NOS) conceived by the Canada Mortgage and Housing Corporation and provincial and territorial representatives. Acceptable housing identifies which thresholds the household falls below if any. Housing that is adequate in condition suitable in size and affordable is considered to be acceptable. Households below and above the thresholds are based on the indicators for which individual households can be assessed. Farm and on-reserve households whose housing does not meet either or both of the suitability and adequacy thresholds are counted in the total of households below the thresholds. Farm and on-reserve households who live in housing that meets both the suitability and adequacy thresholds are counted in the total of households above the thresholds (even though it is not possible to assess housing affordability for these households). Farm households and on-reserve households cannot be assessed for housing affordability because the concept is not applicable. Housing affordability is assessed for owner and tenant households with household total income greater than zero in non-farm non-reserve private dwellings. 63: Core housing need refers to whether a private household's housing falls below at least one of the indicator thresholds for housing adequacy affordability or suitability and would have to spend 30% or more of its total before-tax income to pay the median rent of alternative local housing that is acceptable (attains all three housing indicator thresholds). Housing indicator thresholds are defined as follows: Adequate housing is reported by their residents as not requiring any major repairs. Affordable housing has shelter costs equal to less than 30% of total before-tax household income. Suitable housing has enough bedrooms for the size and composition of resident households according to the National Occupancy Standard (NOS) conceived by the Canada Mortgage and Housing Corporation and provincial and territorial representatives. Only private non-farm non-reserve and owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'core housing need.' Non-family households with at least one maintainer aged 15 to 29 attending school are considered not to be in 'core housing need' regardless of their housing circumstances. Attending school is considered a transitional phase and low incomes earned by student households are viewed as being a temporary condition. 64: Presence of mortgage payments refers to whether an owner household makes regular mortgage or loan payments for their dwelling. 65: Shelter cost refers to the average monthly total of all shelter expenses paid by households. Shelter costs for owner households include where applicable mortgage payments property taxes and condominium fees along with the costs of electricity heat water and other municipal services. For renter households shelter costs include where applicable the rent and the costs of electricity heat water and other municipal services. For households living in a dwelling provided by the local

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Statista (2025). Price-to-rent ratio in selected countries worldwide 2024 [Dataset]. https://www.statista.com/statistics/458543/price-to-income-ratio-of-housing-worldwide/
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Price-to-rent ratio in selected countries worldwide 2024

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Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

Turkey, Russia, Portugal, and Latvia were the countries with the highest house price-to-rent-ratio in the ranking in the second quarter of 2024. In all three countries, the ratio exceeded *** index points, meaning that house price growth had outpaced rents by over ** percent between 2015 and 2024. What does the house-price-to-rent ratio show? The house-price-to-rent-ratio measures the evolution of house prices compared to rents. It is generally 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. When all OECD countries are considered as a whole, the gap between house prices and rents was wider than in the Euro area. Measures of housing affordability The national house-price-to-rent ratio may not fully reflect the cost of housing in a particular country, as it does not capture the price variations that can exist between different regions. It also does not take into consideration the relationship between incomes and housing costs, which is measured by the house-price-to-income and household-rent-to-income ratios. Taking both these factors into account uncovers vast differences in housing affordability between different regions and different professions.

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