100+ datasets found
  1. Median house price Texas, U.S. 2011-2023

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Median house price Texas, U.S. 2011-2023 [Dataset]. https://www.statista.com/statistics/1299453/median-house-price-texas/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Texas, United States
    Description

    House prices in the second most populous state in the United States, Texas, have increased more than two-fold since 2011. In 2023, the median house price reached ******* U.S. dollars, a decrease of *** percent from the previous year. Texas is one of the more affordable states for buying a home with house prices below the national average.

  2. T

    China Newly Built House Prices YoY Change

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2023
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    TRADING ECONOMICS (2023). China Newly Built House Prices YoY Change [Dataset]. https://tradingeconomics.com/china/housing-index
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    May 15, 2023
    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
    Jan 31, 2011 - Jul 31, 2025
    Area covered
    China
    Description

    Housing Index in China decreased by 2.80 percent in July from -3.20 percent in June of 2025. This dataset provides the latest reported value for - China Newly Built House Prices YoY Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  3. a

    2011 Housing Market Typology

    • hub.arcgis.com
    • data.baltimorecity.gov
    Updated May 24, 2023
    + more versions
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    Baltimore City (2023). 2011 Housing Market Typology [Dataset]. https://hub.arcgis.com/maps/baltimore::2011-housing-market-typology
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    Dataset updated
    May 24, 2023
    Dataset authored and provided by
    Baltimore City
    Area covered
    Description

    This dataset represents indicators of local housing market strengths and to appropriately match neighborhood strategies to market conditions, for the best use of public and private resources. To leave feedback or ask a question about this dataset, please fill out the following form: 2011 Housing Market Typology feedback form.

  4. Monthly homebuyer sentiment in the U.S. 2011-2025, by age group

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Monthly homebuyer sentiment in the U.S. 2011-2025, by age group [Dataset]. https://www.statista.com/statistics/608569/home-purchase-outlook-usa-by-age/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2011 - Jan 2025
    Area covered
    United States
    Description

    The homebuyer sentiment in the United States worsened substantially in 2021 and remained low for all age groups until 2025. As of January 2025, the homebuyer outlook was the worst for people in the age group 35 to 44, with a net homebuyer sentiment of negative **. This means that the share of respondents who thought it was a bad time to buy a home outweighed the share of respondents who said the contrary by ** percent. The decline in sentiment is correlated with the falling homeowner affordability. In 2023, the U.S. homeowner affordability index fell to the lowest level on record.

  5. d

    2011 Housing Market Typology.

    • datadiscoverystudio.org
    csv, json, rdf, xml
    Updated Feb 3, 2018
    + more versions
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    (2018). 2011 Housing Market Typology. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ce139e562b2346ad8c64d799bc2eed7e/html
    Explore at:
    rdf, json, csv, xmlAvailable download formats
    Dataset updated
    Feb 3, 2018
    Description

    description: The Typology will assist city government, local foundations and non-profits to understand local market strengths and to appropriately match neighborhood strategies to market conditions, for the best use of public and private resources. In addition, the typology will inform neighborhood level planning efforts and provide residents with an understanding of the local housing market conditions in their communities. Regional Choice: Competitive housing markets with high owner-occupancy rates and high property values in comparison to all other market types. Foreclosure, vacancy and abandonment rates are low. Middle Market Choice: Housing prices above the city_s average with strong ownership rates, and low vacancies, but with slightly increased foreclosure rates. Middle Market: Median sales values of $91,000 (above the City_s average of $65,000) as well as high homeownership rates. These markets experienced higher foreclosure rates when compared to higher value markets, with slight population loss. Middle Market Stressed: Slightly lower home sale values than the City_s average, and have not shown significant sales price appreciation. Vacancies and foreclosure rates are high, and the rate of population loss has increased in this market type, according to the 2010 Census data. Distressed Market: , Have experienced significant deterioration of the housing stock. This market category contains the highest vacancy rates and the lowest homeownership rates, compared to the other market types. It also has experienced some of the most substantial population losses in the City during the past decade.; abstract: The Typology will assist city government, local foundations and non-profits to understand local market strengths and to appropriately match neighborhood strategies to market conditions, for the best use of public and private resources. In addition, the typology will inform neighborhood level planning efforts and provide residents with an understanding of the local housing market conditions in their communities. Regional Choice: Competitive housing markets with high owner-occupancy rates and high property values in comparison to all other market types. Foreclosure, vacancy and abandonment rates are low. Middle Market Choice: Housing prices above the city_s average with strong ownership rates, and low vacancies, but with slightly increased foreclosure rates. Middle Market: Median sales values of $91,000 (above the City_s average of $65,000) as well as high homeownership rates. These markets experienced higher foreclosure rates when compared to higher value markets, with slight population loss. Middle Market Stressed: Slightly lower home sale values than the City_s average, and have not shown significant sales price appreciation. Vacancies and foreclosure rates are high, and the rate of population loss has increased in this market type, according to the 2010 Census data. Distressed Market: , Have experienced significant deterioration of the housing stock. This market category contains the highest vacancy rates and the lowest homeownership rates, compared to the other market types. It also has experienced some of the most substantial population losses in the City during the past decade.

  6. F

    Average Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
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    (2025). Average Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/ASPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

  7. I

    India House Prices Growth

    • ceicdata.com
    Updated Aug 7, 2020
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    CEICdata.com (2020). India House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/india/house-prices-growth
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    Dataset updated
    Aug 7, 2020
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2021 - Sep 1, 2024
    Area covered
    India
    Description

    Key information about House Prices Growth

    • India house prices grew 2.6% YoY in Sep 2024, following an increase of 6.2% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 2011 to Sep 2024, with an average growth rate of 5.1%.
    • House price data reached an all-time high of 30.6% in Mar 2011 and a record low of -11.4% in Sep 2020.

    CEIC calculates House Prices Growth from quarterly House Price Index. National Housing Bank provides House Price Index with base 2017-2018=100. House Prices Growth covers Mumbai only. House Prices Growth prior to Q2 2014 is calculated from House Price Index with base 2007=100.

  8. C

    Housing market flow; starting and moving households 2010-2011

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
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    OverheidNl (2023). Housing market flow; starting and moving households 2010-2011 [Dataset]. https://ckan.mobidatalab.eu/dataset/2217-doorstroming-woningmarkt-startende-en-doorstromende-huishoudens-2010-2011
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    http://publications.europa.eu/resource/authority/file-type/json, http://publications.europa.eu/resource/authority/file-type/atomAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    OverheidNl
    License

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

    Description

    This table provides insight into the start and the flow of households on the housing market. The table states whether the new residents are starting or transferring households of all empty homes occupied by new residents in a year (both new homes and existing homes). The underlying assumption is that new and transferring households often have a different position in the housing market and also partly different housing preferences. A distinction is made between the properties in terms of ownership of the home in question and ownership of the previous home. The possibilities and desire to move into an owner-occupied home, rented home from a housing association or rented home from another landlord will also depend on a number of characteristics of the household. This table includes the age, income and household composition characteristics of the households. About half of all persons who move to a new address in the Netherlands each year do so to an empty home. The other half consists of people who move in with an existing household or move to 'other accommodation' (e.g. a nursing home). The table only includes data from households that move to an empty home. Data available for reporting years 2010 and 2011 Status of the figures: The figures in this table are final. Changes as of November 28, 2016 : None, this table has been discontinued. When will new numbers come out? Not applicable anymore.

  9. T

    BAL_2011 Housing Market Typology

    • data.opendatanetwork.com
    application/rdfxml +5
    Updated May 9, 2014
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    (2014). BAL_2011 Housing Market Typology [Dataset]. https://data.opendatanetwork.com/w/5mq8-hzk8/default?cur=WFs1n7wQ2OA&from=9qaL08466kJ
    Explore at:
    tsv, csv, application/rssxml, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    May 9, 2014
    Description

    The Typology will assist city government, local foundations and non-profits to understand local market strengths and to appropriately match neighborhood strategies to market conditions, for the best use of public and private resources. In addition, the typology will inform neighborhood level planning efforts and provide residents with an understanding of the local housing market conditions in their communities. Regional Choice: Competitive housing markets with high owner-occupancy rates and high property values in comparison to all other market types. Foreclosure, vacancy and abandonment rates are low. Middle Market Choice: Housing prices above the city’s average with strong ownership rates, and low vacancies, but with slightly increased foreclosure rates. Middle Market: Median sales values of $91,000 (above the City’s average of $65,000) as well as high homeownership rates. These markets experienced higher foreclosure rates when compared to higher value markets, with slight population loss. Middle Market Stressed: Slightly lower home sale values than the City’s average, and have not shown significant sales price appreciation. Vacancies and foreclosure rates are high, and the rate of population loss has increased in this market type, according to the 2010 Census data. Distressed Market: , Have experienced significant deterioration of the housing stock. This market category contains the highest vacancy rates and the lowest homeownership rates, compared to the other market types. It also has experienced some of the most substantial population losses in the City during the past decade.

  10. F

    All-Transactions House Price Index for California

    • fred.stlouisfed.org
    json
    Updated Aug 26, 2025
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    (2025). All-Transactions House Price Index for California [Dataset]. https://fred.stlouisfed.org/series/CASTHPI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    California
    Description

    Graph and download economic data for All-Transactions House Price Index for California (CASTHPI) from Q1 1975 to Q2 2025 about appraisers, CA, HPI, housing, price index, indexes, price, and USA.

  11. Great Recession: real house price index in Europe's weakest economies...

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Great Recession: real house price index in Europe's weakest economies 2005-2011 [Dataset]. https://www.statista.com/statistics/1348857/great-recession-house-price-bubbles-eu/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2005 - 2011
    Area covered
    Europe
    Description

    Portugal, Italy, Ireland, Greece, and Spain were widely considered the Eurozone's weakest economies during the Great Recession and subsequent Eurozone debt crisis. These countries were grouped together due to the similarities in their economic crises, with much of them driven by house price bubbles which had inflated over the early 2000s, before bursting in 2007 due to the Global Financial Crisis. Entry into the Euro currency by 2002 had meant that banks could lend to house buyers in these countries at greatly reduced rates of interest.

    This reduction in the cost of financing contributed to creating housing bubbles, which were further boosted by pro-cyclical housing policies among many of the countries' governments. In spite of these economies experiencing similar economic problems during the crisis, Italy and Portugal did not experience housing bubbles in the same way in which Greece, Ireland, and Spain did. In the latter countries, their real housing prices (which are adjusted for inflation) peaked in 2007, before quickly declining during the recession. In particular, house prices in Ireland dropped by over 40 percent from their peak in 2007 to 2011.

  12. Number of home sales in the U.S. 2014-2024 with forecast until 2026

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Number of home sales in the U.S. 2014-2024 with forecast until 2026 [Dataset]. https://www.statista.com/statistics/275156/total-home-sales-in-the-united-states-from-2009/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of home sales in the United States peaked in 2021 at almost ************* after steadily rising since 2018. Nevertheless, the market contracted in the following year, with transaction volumes falling to ***********. Home sales remained muted in 2024, with a mild increase expected in 2025 and 2026. A major factor driving this trend is the unprecedented increase in mortgage interest rates due to high inflation. How have U.S. home prices developed over time? The average sales price of new homes has also been rising since 2011. Buyer confidence seems to have recovered after the property crash, which has increased demand for homes and also the prices sellers are demanding for homes. At the same time, the affordability of U.S. homes has decreased. Both the number of existing and newly built homes sold has declined since the housing market boom during the coronavirus pandemic. Challenges in housing supply The number of housing units in the U.S. rose steadily between 1975 and 2005 but has remained fairly stable since then. Construction increased notably in the 1990s and early 2000s, with the number of construction starts steadily rising, before plummeting amid the infamous housing market crash. Housing starts slowly started to pick up in 2011, mirroring the economic recovery. In 2022, the supply of newly built homes plummeted again, as supply chain challenges following the COVID-19 pandemic and tariffs on essential construction materials such as steel and lumber led to prices soaring.

  13. United States Housing Market Index: sa: Single Family Detached: Next 6...

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States Housing Market Index: sa: Single Family Detached: Next 6 Months [Dataset]. https://www.ceicdata.com/en/united-states/housing-market-index/housing-market-index-sa-single-family-detached-next-6-months
    Explore at:
    Dataset updated
    Nov 27, 2021
    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
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Business Activity Survey
    Description

    United States Housing Market Index: sa: Single Family Detached: Next 6 Months data was reported at 65.000 NA in Nov 2018. This records a decrease from the previous number of 75.000 NA for Oct 2018. United States Housing Market Index: sa: Single Family Detached: Next 6 Months data is updated monthly, averaging 62.000 NA from Jan 1985 (Median) to Nov 2018, with 407 observations. The data reached an all-time high of 83.000 NA in Jun 1999 and a record low of 15.000 NA in Jun 2011. United States Housing Market Index: sa: Single Family Detached: Next 6 Months data remains active status in CEIC and is reported by National Association of Home Builders. The data is categorized under Global Database’s United States – Table US.EB013: Housing Market Index.

  14. F

    All-Transactions House Price Index for the United States

    • fred.stlouisfed.org
    json
    Updated Aug 26, 2025
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    (2025). All-Transactions House Price Index for the United States [Dataset]. https://fred.stlouisfed.org/series/USSTHPI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q2 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

  15. U.S. housing: Case Shiller National Home Price Index 2000-2024

    • statista.com
    Updated Apr 25, 2025
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    Statista (2025). U.S. housing: Case Shiller National Home Price Index 2000-2024 [Dataset]. https://www.statista.com/statistics/199360/case-shiller-national-home-price-index-for-the-us-since-2000/
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    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The year-end value of the S&P Case Shiller National Home Price Index amounted to 321.45 in 2024. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given year, for example, it means that the house prices increased by 30 percent since 2000. S&P/Case Shiller U.S. home indices – additional informationThe S&P Case Shiller National Home Price Index is calculated on a monthly basis and is based on the prices of single-family homes in nine U.S. Census divisions: New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain and Pacific. The index is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The index illustrates the trend of home prices and can be helpful during house purchase decisions. When house prices are rising, a house buyer might want to speed up the house purchase decision as the transaction costs can be much higher in the future. The S&P Case Shiller National Home Price Index has been on the rise since 2011.The S&P Case Shiller National Home Price Index is one of the indices included in the S&P/Case-Shiller Home Price Index Series. Other indices are the S&P/Case Shiller 20-City Composite Home Price Index, the S&P/Case Shiller 10-City Composite Home Price Index and twenty city composite indices.

  16. Average resale house prices Canada 2011-2024, with a forecast until 2026, by...

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Average resale house prices Canada 2011-2024, with a forecast until 2026, by province [Dataset]. https://www.statista.com/statistics/587661/average-house-prices-canada-by-province/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The average resale house price in Canada was forecast to reach nearly ******* Canadian dollars in 2026, according to a January forecast. In 2024, house prices increased after falling for the first time since 2019. One of the reasons for the price correction was the notable drop in transaction activity. Housing transactions picked up in 2024 and are expected to continue to grow until 2026. British Columbia, which is the most expensive province for housing, is projected to see the average house price reach *** million Canadian dollars in 2026. Affordability in Vancouver Vancouver is the most populous city in British Columbia and is also infamously expensive for housing. In 2023, the city topped the ranking for least affordable housing market in Canada, with the average homeownership cost outweighing the average household income. There are a multitude of reasons for this, but most residents believe that foreigners investing in the market cause the high housing prices. Victoria housing market The capital of British Columbia is Victoria, where housing prices are also very high. The price of a single family home in Victoria's most expensive suburb, Oak Bay was *** million Canadian dollars in 2024.

  17. S

    Spain Housing Market Indicators: Domestic Investment in Property: Index:...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Spain Housing Market Indicators: Domestic Investment in Property: Index: 2000=100 [Dataset]. https://www.ceicdata.com/en/spain/housing-market-indicators/housing-market-indicators-domestic-investment-in-property-index-2000100
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2008 - Jun 1, 2011
    Area covered
    Spain
    Variables measured
    Sales
    Description

    Spain Housing Market Indicators: Domestic Investment in Property: Index: 2000=100 data was reported at 80.140 2000=100 in Jun 2011. This records a decrease from the previous number of 80.980 2000=100 for Mar 2011. Spain Housing Market Indicators: Domestic Investment in Property: Index: 2000=100 data is updated quarterly, averaging 103.790 2000=100 from Mar 1995 (Median) to Jun 2011, with 66 observations. The data reached an all-time high of 154.120 2000=100 in Sep 2007 and a record low of 62.040 2000=100 in Jun 1995. Spain Housing Market Indicators: Domestic Investment in Property: Index: 2000=100 data remains active status in CEIC and is reported by Bank of Spain. The data is categorized under Global Database’s Spain – Table ES.EB003: Housing Market Indicators.

  18. I

    Italy House Prices Growth

    • ceicdata.com
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    CEICdata.com (2021). Italy House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/italy/house-prices-growth
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2021 - Sep 1, 2024
    Area covered
    Italy
    Description

    Key information about House Prices Growth

    • Italy house prices grew 3.9% YoY in Sep 2024, following an increase of 2.9% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 2011 to Sep 2024, with an average growth rate of 0.2%.
    • House price data reached an all-time high of 5.2% in Jun 2022 and a record low of -7.1% in Mar 2013.

    CEIC calculates House Prices Growth from quarterly House Price Index. Italian National Institute of Statistics provides House Price Index with base 2015=100.

  19. T

    Thailand House Price Index

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Thailand House Price Index [Dataset]. https://tradingeconomics.com/thailand/housing-index
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    xml, csv, excel, jsonAvailable 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
    Jan 31, 2011 - Jul 31, 2025
    Area covered
    Thailand
    Description

    Housing Index in Thailand decreased to 158.70 points in July from 159.40 points in June of 2025. This dataset provides - Thailand House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. FMHPI house price index change 1990-2024

    • statista.com
    Updated May 27, 2025
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    Statista (2025). FMHPI house price index change 1990-2024 [Dataset]. https://www.statista.com/statistics/275159/freddie-mac-house-price-index-from-2009/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. housing market has slowed, after ** consecutive years of rising home prices. In 2021, house prices surged by an unprecedented ** percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by *** percent. That was lower than the long-term average of *** percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of **** percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over ******* U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

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Statista (2025). Median house price Texas, U.S. 2011-2023 [Dataset]. https://www.statista.com/statistics/1299453/median-house-price-texas/
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Median house price Texas, U.S. 2011-2023

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Dataset updated
Jun 30, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Texas, United States
Description

House prices in the second most populous state in the United States, Texas, have increased more than two-fold since 2011. In 2023, the median house price reached ******* U.S. dollars, a decrease of *** percent from the previous year. Texas is one of the more affordable states for buying a home with house prices below the national average.

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