100+ datasets found
  1. F

    Housing Affordability Index (Fixed)

    • fred.stlouisfed.org
    json
    Updated Jun 13, 2025
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    (2025). Housing Affordability Index (Fixed) [Dataset]. https://fred.stlouisfed.org/graph/?id=FIXHAI
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    jsonAvailable download formats
    Dataset updated
    Jun 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Housing Affordability Index (Fixed) from Apr 2024 to Apr 2025 about fixed, housing, indexes, and USA.

  2. Housing affordability index in the U.S. 2000-2024

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Housing affordability index in the U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/201568/change-in-the-composite-us-housing-affordability-index-since-1975/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Housing Affordability Index value in the United States plummeted in 2022, surpassing the historical record of ***** index points in 2006. In 2024, the housing affordability index measured **** index points, making it the second-worst year for homebuyers since the start of the observation period. What does the Housing Affordability Index mean? The Housing Affordability Index uses data provided by the National Association of Realtors (NAR). It measures whether a family earning the national median income can afford the monthly mortgage payments on a median-priced existing single-family home. An index value of 100 means that a family has exactly enough income to qualify for a mortgage on a home. The higher the index value, the more affordable a house is to a family. Key factors that drive the real estate market Income, house prices, and mortgage rates are some of the most important factors influencing homebuyer sentiment. When incomes increase, consumer power also increases. The median household income in the United States declined in 2022, affecting affordability. Additionally, mortgage interest rates have soared, adding to the financial burden of homebuyers. The sales price of existing single-family homes in the U.S. has increased year-on-year since 2011 and reached ******* U.S. dollars in 2023.

  3. b

    Median housing affordability ratio (residence-based) - WMCA

    • cityobservatory.birmingham.gov.uk
    csv, excel, geojson +1
    Updated Jul 2, 2025
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    (2025). Median housing affordability ratio (residence-based) - WMCA [Dataset]. https://cityobservatory.birmingham.gov.uk/explore/dataset/median-housing-affordability-ratio-residence-based-wmca/
    Explore at:
    csv, json, excel, geojsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This is the median housing affordability ratio (residence-based) and is calculated by dividing house prices by gross annual earnings, based on the median of both house prices and earnings.

    This measure of affordability shows what the people who live in a given area earn in relation to that area's house prices, even if they work elsewhere. This measure does not consider that people may be getting higher earnings from working in other areas.

    A higher ratio indicates that on average, it is less affordable for a resident to purchase a house. Conversely, a lower ratio indicates higher affordability in a local authority.

    The earnings data are from the Annual Survey of Hours and Earnings which provides a snapshot of earnings at April in each year. Earnings relate to gross full-time individual earnings on a place of work basis. The house price statistics come from the House Price Statistics for Small Areas, which report the median and lower quartile price paid for residential property and refer to a 12-month period with April in the middle (year ending September).

    Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

  4. a

    SGSEP - Rental Affordability Index - 3 Bedroom dwellings for Capital Cities...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). SGSEP - Rental Affordability Index - 3 Bedroom dwellings for Capital Cities (Polygon) Q1 2011-Q2 2021 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/sgsep-sgs-rai-index-gcc-3bedroom-2021-na
    Explore at:
    Dataset updated
    Mar 6, 2025
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Description

    This dataset presents the Rental Affordability Index (RAI) for 3 bedroom dwellings. The data uses different income values for each region within the Greater Capital Cities, and spans the quarters Q1 2011 to Q2 2021. The RAI covers all states with available data, the Northern Territory and Western Australia does not form part of this dataset. National Shelter, Bendigo Bank, The Brotherhood of St Laurence, and SGS Economics and Planning have released the RentalAffordability Index (RAI) on a biannual basis since 2015. Since 2019, the RAI has been released annually. It is generally accepted that if housing costs exceed 30% of a low-income household's gross income, the household is experiencing housing stress (30/40 rule). That is, housing is unaffordable and housing costs consume a disproportionately high amount of household income. The RAI uses the 30 per cent of income rule. Rental affordability is calculated using the following equation, where 'qualifying income' refers to the household income required to pay rent where rent is equal to 30% of income: RAI = (Median income ∕ Qualifying Income) x 100 In the RAI, households who are paying 30% of income on rent have a score of 100, indicating that these households are at the critical threshold for housing stress. A score of 100 or less indicates that households would pay more than 30% of income to access a rental dwelling, meaning they are at risk of experiencing housing stress. For more information on the Rental Affordability Index please refer to SGS Economics and Planning. The RAI is a price index for housing rental markets. It is a clear and concise indicator of rental affordability relative to household incomes, applied to geographic areas across Australia. AURIN has spatially enabled the original data using geometries provided by SGS Economics and Planning. Values of 'NA' in the original data have been set to NULL.

  5. a

    SGSEP - Rental Affordability Index - All dwellings for Capital Cities...

    • data.aurin.org.au
    Updated Mar 6, 2025
    + more versions
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    (2025). SGSEP - Rental Affordability Index - All dwellings for Capital Cities (Polygon) Q1 2011-Q2 2021 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/sgsep-sgs-rai-index-gcc-total-2021-na
    Explore at:
    Dataset updated
    Mar 6, 2025
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Description

    This dataset presents the Rental Affordability Index (RAI) for all dwellings. The data uses different income values for each region within the Greater Capital Cities, and spans the quarters Q1 2011 to Q2 2021. The RAI covers all states with available data, the Northern Territory does not form part of this dataset. National Shelter, Bendigo Bank, The Brotherhood of St Laurence, and SGS Economics and Planning have released the RentalAffordability Index (RAI) on a biannual basis since 2015. Since 2019, the RAI has been released annually. It is generally accepted that if housing costs exceed 30% of a low-income household's gross income, the household is experiencing housing stress (30/40 rule). That is, housing is unaffordable and housing costs consume a disproportionately high amount of household income. The RAI uses the 30 per cent of income rule. Rental affordability is calculated using the following equation, where 'qualifying income' refers to the household income required to pay rent where rent is equal to 30% of income: RAI = (Median Income ∕ Qualifying Income) x 100 In the RAI, households who are paying 30% of income on rent have a score of 100, indicating that these households are at the critical threshold for housing stress. A score of 100 or less indicates that households would pay more than 30% of income to access a rental dwelling, meaning they are at risk of experiencing housing stress. For more information on the Rental Affordability Index please refer to SGS Economics and Planning. The RAI is a price index for housing rental markets. It is a clear and concise indicator of rental affordability relative to household incomes, applied to geographic areas across Australia. AURIN has spatially enabled the original data using geometries provided by SGS Economics and Planning. Values of 'NA' in the original data have been set to NULL.

  6. 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.

  7. United States Housing Affordability Index: Fixed

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Housing Affordability Index: Fixed [Dataset]. https://www.ceicdata.com/en/united-states/housing-affordability-index/housing-affordability-index-fixed
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2017 - Feb 1, 2018
    Area covered
    United States
    Variables measured
    Household Affordability
    Description

    United States Housing Affordability Index: Fixed data was reported at 146.900 NA in Oct 2018. This records a decrease from the previous number of 147.400 NA for Sep 2018. United States Housing Affordability Index: Fixed data is updated monthly, averaging 127.900 NA from Jan 1989 (Median) to Oct 2018, with 357 observations. The data reached an all-time high of 212.800 NA in Jan 2013 and a record low of 97.600 NA in May 1989. United States Housing Affordability Index: Fixed data remains active status in CEIC and is reported by National Association of Realtors. The data is categorized under Global Database’s United States – Table US.EB018: Housing Affordability Index.

  8. b

    Affordability Index - Rent

    • data.baltimorecity.gov
    • bmore-open-data-baltimore.hub.arcgis.com
    • +1more
    Updated Feb 28, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Affordability Index - Rent [Dataset]. https://data.baltimorecity.gov/maps/e09b05623cdb4b509ef0fcfe0f018c52
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    Dataset updated
    Feb 28, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The percentage of households that pay more than 30% of their total household income on rent and related expenses out of all households in an area. Source: American Community Survey Years Available: 2006-2010, 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022, 2019-2023Please note: We do not recommend comparing overlapping years of data due to the nature of this dataset. For more information, please visit: https://www.census.gov/programs-surveys/acs/guidance/comparing-acs-data.html

  9. g

    AIRO Housing and Rental Affordability Ratios

    • rdm.geohive.ie
    Updated Apr 3, 2023
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    rdm_curator (2023). AIRO Housing and Rental Affordability Ratios [Dataset]. https://rdm.geohive.ie/items/d555f78e045a48e390e2310fe704ff00
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    Dataset updated
    Apr 3, 2023
    Dataset authored and provided by
    rdm_curator
    Description

    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

  10. 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.

  11. United States Housing Affordability Index: Median Family Income

    • ceicdata.com
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    CEICdata.com (2025). United States Housing Affordability Index: Median Family Income [Dataset]. https://www.ceicdata.com/en/united-states/housing-affordability-index/housing-affordability-index-median-family-income
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2017 - Feb 1, 2018
    Area covered
    United States
    Variables measured
    Household Affordability
    Description

    United States Housing Affordability Index: Median Family Income data was reported at 77,021.000 USD in Oct 2018. This records an increase from the previous number of 76,754.000 USD for Sep 2018. United States Housing Affordability Index: Median Family Income data is updated monthly, averaging 53,251.500 USD from Jan 1989 (Median) to Oct 2018, with 358 observations. The data reached an all-time high of 77,021.000 USD in Oct 2018 and a record low of 33,287.000 USD in Jan 1989. United States Housing Affordability Index: Median Family Income data remains active status in CEIC and is reported by National Association of Realtors. The data is categorized under Global Database’s United States – Table US.EB018: Housing Affordability Index.

  12. Housing affordability index in Italy 2018, by region

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Housing affordability index in Italy 2018, by region [Dataset]. https://www.statista.com/statistics/813299/housing-affordability-index-by-region-in-italy/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Italy
    Description

    The housing affordability index among households in Italy reached **** percent as of 2018. In 2018, the housing affordability index was highest in the region of Molise, where it reached **** percent. By contrast, only roughly *** percent of the households in Lazio and Liguria were able to purchase a home in their respective regions. By contrast, the index was lowest in the region of Liguria, where it was equal to eight percent.

    The affordability index is calculated based on interest rate, housing prices and disposable income. A positive affordability index means that the average Italian family in that particular region was able to purchase a house at the market average price.

  13. M

    Housing Affordability Index (2024-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Housing Affordability Index (2024-2025) [Dataset]. https://www.macrotrends.net/3080/housing-affordability-index
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    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2024 - 2025
    Area covered
    United States
    Description

    Copyright, 2016, National Association of Realtors. Reprinted with permission. Per the agreement with the source, data in FRED are available for the prior 13 months.

    Measures the degree to which a typical family can afford the monthly mortgage payments on a typical home.

    Value of 100 means that a family with the median income has exactly enough income to qualify for a mortgage on a median-priced home. An index above 100 signifies that family earning the median income has more than enough income to qualify for a mortgage loan on a median-priced home, assuming a 20 percent down payment. This index is calculated for fixed mortgages.

  14. United States Housing Affordability Index: Monthly Principal and Interest...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Housing Affordability Index: Monthly Principal and Interest Payment [Dataset]. https://www.ceicdata.com/en/united-states/housing-affordability-index/housing-affordability-index-monthly-principal-and-interest-payment
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2017 - Feb 1, 2018
    Area covered
    United States
    Variables measured
    Household Affordability
    Description

    United States Housing Affordability Index: Monthly Principal and Interest Payment data was reported at 1,092.000 USD in Oct 2018. This records an increase from the previous number of 1,085.000 USD for Sep 2018. United States Housing Affordability Index: Monthly Principal and Interest Payment data is updated monthly, averaging 783.000 USD from Jan 1989 (Median) to Oct 2018, with 358 observations. The data reached an all-time high of 1,207.000 USD in Jul 2006 and a record low of 568.000 USD in Feb 1994. United States Housing Affordability Index: Monthly Principal and Interest Payment data remains active status in CEIC and is reported by National Association of Realtors. The data is categorized under Global Database’s United States – Table US.EB018: Housing Affordability Index.

  15. a

    SGSEP - Rental Affordability Index - All dwellings for Australia (Polygon)...

    • data.aurin.org.au
    Updated Mar 6, 2025
    + more versions
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    (2025). SGSEP - Rental Affordability Index - All dwellings for Australia (Polygon) Q1 2011-Q2 2021 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/sgsep-sgs-rai-index-national-total-2021-na
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    Dataset updated
    Mar 6, 2025
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Area covered
    Australia
    Description

    This dataset presents the Rental Affordability Index (RAI) for all dwellings. The data uses a single median income value for all of Australia (enabling comparisons across regions), and spans the quarters Q1 2011 to Q2 2021. The RAI covers all states with available data, the Northern Territory does not form part of this dataset. National Shelter, Bendigo Bank, The Brotherhood of St Laurence, and SGS Economics and Planning have released the RentalAffordability Index (RAI) on a biannual basis since 2015. Since 2019, the RAI has been released annually. It is generally accepted that if housing costs exceed 30% of a low-income household's gross income, the household is experiencing housing stress (30/40 rule). That is, housing is unaffordable and housing costs consume a disproportionately high amount of household income. The RAI uses the 30 per cent of income rule. Rental affordability is calculated using the following equation, where 'qualifying income' refers to the household income required to pay rent where rent is equal to 30% of income: RAI = (Median income ∕ Qualifying Income) x 100 In the RAI, households who are paying 30% of income on rent have a score of 100, indicating that these households are at the critical threshold for housing stress. A score of 100 or less indicates that households would pay more than 30% of income to access a rental dwelling, meaning they are at risk of experiencing housing stress. For more information on the Rental Affordability Index please refer to SGS Economics and Planning. The RAI is a price index for housing rental markets. It is a clear and concise indicator of rental affordability relative to household incomes, applied to geographic areas across Australia. AURIN has spatially enabled the original data using geometries provided by SGS Economics and Planning. Values of 'NA' in the original data have been set to NULL.

  16. House price to workplace-based earnings ratio

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Mar 24, 2025
    + more versions
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    Office for National Statistics (2025). House price to workplace-based earnings ratio [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/ratioofhousepricetoworkplacebasedearningslowerquartileandmedian
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    xlsxAvailable download formats
    Dataset updated
    Mar 24, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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.

  17. Housing affordability index Spain 2022, by region

    • statista.com
    • ai-chatbox.pro
    Updated Jan 30, 2025
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    Statista (2025). Housing affordability index Spain 2022, by region [Dataset]. https://www.statista.com/statistics/765289/housing-affordability-index-spain-by-autonomous-community/
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    Real estate in the Balearic Islands ranked as the least affordable by Spaniards, with a potential number of 18.2 years that the average person would need to acquire a property on a full salary. Madrid and Catalonia followed far behind as the second and third least affordable Spanish region, with a total of 9.7 and nine index points, respectively.

  18. Quarterly housing affordability index South Korea 2017-2024

    • statista.com
    Updated Feb 11, 2025
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    Statista (2025). Quarterly housing affordability index South Korea 2017-2024 [Dataset]. https://www.statista.com/statistics/1120035/south-korea-housing-affordability-index/
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    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    As of the third quarter of 2024, the housing affordability index in South Korea stood at around 61 points. The third quarter of 2022 saw the first drop in figures since 2020. The lower the index value, the more affordable a home is for a median-income household. Apartments in South Korea Average apartment prices in South Korea had risen for almost a decade before 2022. The country's popularity worldwide helped it become an economic powerhouse, attracting young workers from the countryside to large cities in hopes of taking part in or benefiting from this growth. As such, apartments are an attractive option for cities, optimizing space as they become more crowded. In terms of financing a new home, the leasehold deposit system exists as an alternative to traditional monthly rentals in Korea. Jeonse and leasehold deposits Jeonse is a leasehold deposit system in Korea where, instead of paying rent monthly, people pay a large deposit equivalent to a share of a property's value. In exchange, the person receives the right to reside in the property as a tenant for a limited amount of time. Granted, the up-front cost is high, and it is common to receive loans from banks to pay for the leasehold deposit. It had traditionally been a popular method as you could live in a housing unit without worrying about rent for one or two years. However, this system is slowly being phased out as interest rates, the large up-front cost, and cases of jeonse fraud have turned people away.

  19. T

    Housing Affordability Index

    • internal.open.piercecountywa.gov
    • open.piercecountywa.gov
    Updated Sep 26, 2024
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    University of Washington, Runstad Center for Real Estate Studies (2024). Housing Affordability Index [Dataset]. https://internal.open.piercecountywa.gov/Demographics/Housing-Affordability-Index/q79c-akif
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    application/rdfxml, application/rssxml, csv, tsv, xml, application/geo+json, kml, kmzAvailable download formats
    Dataset updated
    Sep 26, 2024
    Dataset authored and provided by
    University of Washington, Runstad Center for Real Estate Studies
    Description

    The Housing Affordability Index, calculated by the Runstad Center for Real Estate Studies, measures the ability of a middle-income family to carry the mortgage payments on a median-price home. When the index is 100 there is a balance between the family’s ability to pay and the cost. Higher indexes indicate housing is more affordable.

    For example, an index of 126 means that a median-income family has 26 percent more income than the bare minimum required to qualify for a mortgage on a median-price home. An index of 80 means that a median-income family has less income than the minimum required.

  20. a

    Affordability Index - Mortgage - City

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • vital-signs-bniajfi.hub.arcgis.com
    Updated Feb 28, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Affordability Index - Mortgage - City [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/bniajfi::affordability-index-mortgage-city
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    Dataset updated
    Feb 28, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The percentage of households that pay more than 30% of their total household income on mortgage and other housing-related expenses. Source: American Community Survey Years Available: 2006-2010, 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022, 2019-2023

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(2025). Housing Affordability Index (Fixed) [Dataset]. https://fred.stlouisfed.org/graph/?id=FIXHAI

Housing Affordability Index (Fixed)

FIXHAI

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456 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jun 13, 2025
License

https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

Description

Graph and download economic data for Housing Affordability Index (Fixed) from Apr 2024 to Apr 2025 about fixed, housing, indexes, and USA.

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