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.

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.

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.

United States US: Price to Income Ratio: sa data was reported at 130.892 2015=100 in 2024. This records an increase from the previous number of 129.315 2015=100 for 2023. United States US: Price to Income Ratio: sa data is updated yearly, averaging 113.539 2015=100 from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 132.929 2015=100 in 1979 and a record low of 90.287 2015=100 in 2012. United States US: Price to Income 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 nominal disposable income per head. Net household disposable income is used. The population data come from the OECD national accounts database.

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.

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.

Description: This metric examines how affordable the average First Time Buyer (FTB) priced property would be for a couple earning the average FTB disposable income by NUTS 2 Region, NUTS 3 Region and County, for each year between 2016 and 2021, with this ratio expressed as a percentage (i.e. average monthly mortgage repayment due on the average FTB priced property as a percentage of the average monthly disposable income of an FTB couple). This percentage should be compared relative to the standard affordability mark of 30% (i.e. housing costs should be below 30% of a household’s disposable income). For example, in the attached excel file, the data shows that the Border recorded an Average Mortgage Repayment to Disposable Income Ratio for First Time Buyers of 17.1% in 2021, which was below the standard affordability mark of 30%. This implies that a FTB couple from the Border – on average disposable income levels in the Border and adjusted to reflect incomes of people aged 40 or below in the Border – would only typically have to pay 17.1% of their joint monthly disposable income on their mortgage instalments on the average priced FTB property in the Border. In contrast, the corresponding ratio for Dublin and the Mid-East is 35% and 31.5%, which are both above the standard affordability mark and show that housing for FTBs – on average – is relatively unaffordable in these areas.Basic Calculations = (Average mortgage repayment on average FTB priced property / Average disposable income of a couple under the age of 40).For full detail on the methodology for the development of this ratio please see the RDM FAQ section.This ratio has been developed by the Regional Economist at the three Regional Assemblies and is primarily based on the CSO County Income and Regional GDP as well as the CSO Regional Property Price Index.Geography available in RDM: State, Regional Assembly and Strategic Planning Area (SPA), County (26).Source: Regional AssembliesWeblink: n/aDate of last source data update: April 2023Update Schedule: Annual

Affordability ratios calculated by dividing house prices by gross annual residence-based earnings. Based on the median and lower quartiles of both house prices and earnings in England and Wales.

Affordability ratios calculated by dividing house prices by gross annual workplace-based earnings. Based on the median and lower quartiles of both house prices and earnings in England and Wales.

Japan JP: Standardised Price-Income Ratio: sa data was reported at 87.536 Ratio in 2024. This records a decrease from the previous number of 89.289 Ratio for 2023. Japan JP: Standardised Price-Income Ratio: sa data is updated yearly, averaging 113.262 Ratio from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 163.202 Ratio in 1973 and a record low of 73.471 Ratio in 2009. Japan JP: Standardised Price-Income 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 nominal disposable income per head. Net household disposable income is used. The population data come from the OECD national accounts database. 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.

In the fourth quarter of 2024, the house price-to-rent ratio in Australia was estimated at 127.2, marking a decrease from the same quarter of the previous year. An indicator of how strong the property market is, the house price-to-rent ratio was calculated by dividing nominal house prices by rent price indices. Within the given period, after reaching a peak in the first quarter of 2022, the price-to-rent ratio decreased each quarter until the second quarter of 2023. From then on, the house price-to-rent ratio fluctuated, but largely trended downwards. Is Australia in a property bubble? Many industry experts believe the country is in a property bubble, indicated by the rapid increase in Australian property market prices to the point that they are no longer relative to incomes and rents, followed by a decline. The house price-to-income ratio was on an upward trend between the third quarter of 2022 and the second quarter of 2024. Nonetheless, after hitting its peak, it declined to 119.2 in the fourth quarter of 2024. Rental property demand In March 2025, the rental vacancy rate, which indicates how many properties are available for rent out of all the rental stock, was relatively high in Melbourne, Canberra, and Sydney. That year, the average weekly rent prices varied across the country depending on the city, with the highest average weekly rents for houses and units in Sydney. Hobart, on the other hand, had the most affordable rental properties across Australia's capital cities.

In 2023, Ahmedabad had the most affordable housing market of the eight biggest metropolitan areas in India with a proportion of ** percent of income to monthly instalment of a housing unit. In Mumbai the affordability index was at ** percent, the only city with higher than threshold affordability ratio set at ** percent. However, the affordability index has significantly improved from pre-pandemic times in 2019 for many cities including Mumbai, Bengaluru and NCR.

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.

When comparing the mortgage or rental costs incurred by owners with mortgage, private renters and social renters in England, private renters pay a considerably larger share of their income than the other two groups. While owner occupiers with mortgages paid approximately **** percent of their income on mortgage in 2024, private renters paid ** percent, or more than *********. In terms of average monthly costs, renting a three-bedroom house is more expensive than buying.

The house price to income index in Europe declined in almost all European countries in 2023, indicating that income grew faster than house prices. Portugal, Luxembourg, and the Netherlands led the house price to income index ranking in 2023, with values exceeding *** index points. Romania, Bulgaria, and Finland were on the other side of the spectrum, with less than 100 index points. The house price to income ratio is an indicator for the development of housing affordability 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. A ratio higher than 100 means that the nominal house price growth since 2015 has outpaced the nominal disposable income growth, and housing is therefore comparatively less affordable. In 2023, the OECD average stood at ***** index points.

Renters in Spain spent an average of 43 percent of their salary on house rent in 2023. The least affordable autonomous communities to rent a house Madrid and the Balearic Islands, where rental dwellings required roughly 62 percent of the average gross salary. On the other hand, the autonomous region of Extremadura was the least financially demanding, with a share of 23 percent.

Note: The data release is complete as of August 14th, 2023.
1. (Added April 4th) Canada and Census Divisions = Early April 2023
2. (Added May 1st) Ontario, British Columbia, and Alberta Census Subdivisions (CSDs) = Late April 2023
3a. (Added June 8th) Manitoba and Saskatchewan CSDs
3b. (Added June 12th) Quebec CSDs = June 12th 2023
4. (Added June 30th) Newfoundland and Labrador, Prince Edward Island, New Brunswick, and Nova Scotia CSDs = Early July 2023
5. (Added August 14th) Yukon, Northwest Territories, and Nunavut CSDs = Early August 2023.

For more information, please visit HART.ubc.ca.

Housing Assessment Resource Tools (HART)

This dataset contains 18 tables which draw upon data from the 2021 Census of Canada. The tables are a custom order and contains data pertaining to core housing need and characteristics of households. 17 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 15 for all census subdivisions (CSD) across Canada. The last table contains the median income for all geographies. Statistics Canada used these median incomes as the "area median household income (AMHI)," from which they derived some of the data fields within the Shelter Costs/Household Income dimension.

Included alongside the data tables is a guide to HART's housing need assessment methodology. This guide is intended to support independent use of HART's custom data both to allow for transparent verification of our analysis, as well as supporting efforts to utilize the data for analysis beyond what HART did. There are many data fields in the data order that we did not use that may be of value for others.

The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide

Custom order from Statistics Canada includes the following dimensions and data fields:

Geography:
- Country of Canada, all CDs & Country as a whole
- All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia), all CSDs & each Province as a whole
- All 3 Territories (Nunavut, Northwest Territories, Yukon), all CSDs & each Territory as a whole

Data Quality and Suppression:
- The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released.

- Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada

- When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts greater than 10 are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Counts of 10 or less are rounded to a base of 10, meaning they will be rounded to either 10 or zero.

Universe:
Full Universe:
Private Households in Non-farm Non-band Off-reserve Occupied Private Dwellings with Income Greater than zero.

Households examined for Core Housing Need:
Private, non-farm, non-reserve, 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 household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances.

Data Fields:
Note 1: Certain data fields from the original .ivt files were not included in the .csv extracts. Those data fields have been marked with an asterisk (*) below.

Note 2: Certain data fields are new for the 2021 census data order. Those data fields have been marked with a double asterisk (**) below.

Note 3: Certain data fields appear in a different order in 2021 compared to 2016. Those data fields have been marked with a triple asterisk (***) below.

Housing indicators in Core Housing Universe (12)
1. Total - Private Households by core housing need status*
2. Households examined for core housing need
3. Households in core housing need
4. Below one standard only*
5. Below affordability standard only*
6. Below adequacy standard only*
7. Below suitability standard only*
8. Below 2 or more standards*
9. Below affordability and suitability*
10. Below affordability and adequacy*
11. Below suitability and adequacy*
12. Below affordability, suitability, and adequacy*

Tenure Including Presence of Mortgage and Subsidized Housing; Household size (13)
1. Total - Private households by tenure including presence of mortgage payments and subsidized housing*
2. Owner*
3. With mortgage*
4. Without mortgage*
5. Renter*
6. Subsidized housing*
7. Not subsidized housing*
8. Total - Household size
9. 1 person
10. 2 persons
11. 3 persons
12. 4 persons
13. 5 or more persons household

Shelter costs groups/statistics (20)
1. Total – Private households by household income proportion to AMHI_1
2. Households with income 20% or under of area median household income (AMHI)
3. Households with income 21% to 50% of AMHI
4. Households with income 51% to 80% of AMHI
5. Households with income 81% to 120% of AMHI
6. Households with income 121% or more of AMHI
7. Total – Private households by household income proportion to AMHI_2*
8. Households with income 30% and under of AMHI*
9. Households with income 31% to 60% of AMHI*
10. Households with income 61% or more of AMHI*
11. Total – Private households by shelter cost proportion to AMHI_1*
12. Households with shelter cost 0.5% and under of AMHI*
13. Households with shelter cost 0.6% to 1.25% of AMHI*
14. Households with shelter cost 1.26% to 2% of AMHI*
15. Households with shelter cost 2.1% to 3% of AMHI*
16. Households with shelter cost 3.1% or more of AMHI*
17. Total – Private households by shelter cost proportion to AMHI_2*
18. Households with shelter cost 0.75% or under of AMHI*
19. Households with shelter cost 0.76% to 1.5% of AMHI*
20. Households with shelter cost 1.6% or more of AMHI*

Selected characteristics of the households (65)
1. Total – Private households by presence of at least one or of the combined activity limitations (Q11d or Q11e or combined)***
2. Household has at least one person with activity limitations reported for Q11d and Q11e or combined Q11d and Q11e health issues***
3. Total - Private households by presence of at least one or of the combined activity limitations (Q11a, Q11b, Q11c or Q11f or combined)***
4. Household has at least one person who had at least one or of combined activity limitations reported for Q11a, Q11b, Q11c or Q11f***
5.Total - Private households by household type including census family structure*
6. Census family households*
7. One-census-family households without additional person*
8. One couple census family without other persons in the household*
9. Without children*
10. With children*
11. One lone-parent census family without other persons in the household*
12. One-census-family households with additional persons*
13. One couple census family with other persons in the household*
14. Without children*
15. With children*
16. One lone-parent census family with other persons in the household*
17. Multiple-family households*
18. Non-census-family households*
19. Non-family households: One person only*
20. Two-or-more person non-census-family household*
21. Total - Private households by Indigenous household status*
22. Indigenous

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.

Housing Index in Israel decreased to 609.20 points in June from 609.80 points in May of 2025. This dataset provides - Israel House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.