100+ datasets found
  1. Office real estate repeat sales index in the U.S. 1996-2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Office real estate repeat sales index in the U.S. 1996-2024 [Dataset]. https://www.statista.com/statistics/1379467/ccrsi-office-real-estate-usa/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The CoStar Commercial Repeat-Sales Index (CCRSI) for office real estate in the United States started to fall in 2022, after more than a decade of steady growth. The index measures the development of sales prices of office properties with 2000 chosen as a base year. An index value of *** means that sales prices have doubled since 2000. In March 2024, the value-weighed index, which is more representative of the high-value deals in core markets, hit *** index points, down from a market peak of *** in December 2021. The equal-weighed index is more influenced by the lower-priced deals that comprise the higher share of transactions. It stood at *** index points in March 2024, down from a market peak of *** in June 2022.

  2. F

    Average Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 23, 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
    Apr 23, 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 Q1 2025 about sales, housing, and USA.

  3. Forecast house price growth in the UK 2025-2029

    • statista.com
    Updated Jul 16, 2025
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    Statista (2025). Forecast house price growth in the UK 2025-2029 [Dataset]. https://www.statista.com/statistics/376079/uk-house-prices-forecast/
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    Dataset updated
    Jul 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    After a period of rapid increase, house price growth in the UK has moderated. In 2025, house prices are forecast to increase by ****percent. Between 2025 and 2029, the average house price growth is projected at *** percent. According to the source, home building is expected to increase slightly in this period, fueling home buying. On the other hand, higher borrowing costs despite recent easing of mortgage rates and affordability challenges may continue to suppress transaction activity. Historical house price growth in the UK House prices rose steadily between 2015 and 2020, despite minor fluctuations. In the following two years, prices soared, leading to the house price index jumping by about 20 percent. As the market stood in April 2025, the average price for a home stood at approximately ******* British pounds. Rents are expected to continue to grow According to another forecast, the prime residential market is also expected to see rental prices grow in the next five years. Growth is forecast to be stronger in 2025 and slow slightly until 2029. The rental market in London is expected to follow a similar trend, with Outer London slightly outperforming Central London.

  4. F

    Housing Inventory: Price Reduced Count in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Housing Inventory: Price Reduced Count in the United States [Dataset]. https://fred.stlouisfed.org/series/PRIREDCOUUS
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    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory: Price Reduced Count in the United States (PRIREDCOUUS) from Jul 2016 to Jun 2025 about reduced count, price, and USA.

  5. F

    Commercial Real Estate Prices for United States

    • fred.stlouisfed.org
    json
    Updated Apr 1, 2025
    + more versions
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    (2025). Commercial Real Estate Prices for United States [Dataset]. https://fred.stlouisfed.org/series/COMREPUSQ159N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 1, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Commercial Real Estate Prices for United States (COMREPUSQ159N) from Q1 2005 to Q3 2024 about real estate, commercial, rate, and USA.

  6. m

    Mexico Residential Real Estate Market Size | Industry Analysis & Forecast...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Apr 24, 2024
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    Mordor Intelligence (2024). Mexico Residential Real Estate Market Size | Industry Analysis & Forecast Report [Dataset]. https://www.mordorintelligence.com/industry-reports/residential-real-estate-market-in-mexico
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Apr 24, 2024
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2020 - 2030
    Area covered
    Mexico
    Description

    The Report Covers Mexico Residential Real Estate Housing Market Companies and is Segmented by Type (Apartments and Condominiums and Landed Houses and Villas). The Report Offers Market Size and Forecast in Value (USD) for all the Above Segments.

  7. F

    All-Transactions House Price Index for Detroit-Dearborn-Livonia, MI (MSAD)

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
    + more versions
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    (2025). All-Transactions House Price Index for Detroit-Dearborn-Livonia, MI (MSAD) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS19804Q
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    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

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

    Area covered
    Detroit, Dearborn, Livonia, Michigan
    Description

    Graph and download economic data for All-Transactions House Price Index for Detroit-Dearborn-Livonia, MI (MSAD) (ATNHPIUS19804Q) from Q2 1976 to Q1 2025 about Detroit, MI, appraisers, HPI, housing, price index, indexes, price, and USA.

  8. F

    Housing Inventory: Median Days on Market in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Housing Inventory: Median Days on Market in the United States [Dataset]. https://fred.stlouisfed.org/series/MEDDAYONMARUS
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    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to Jun 2025 about median and USA.

  9. 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/
    Explore at:
    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.

  10. T

    United States Existing Home Sales

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 22, 2025
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    TRADING ECONOMICS (2025). United States Existing Home Sales [Dataset]. https://tradingeconomics.com/united-states/existing-home-sales
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    May 22, 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
    Jan 31, 1968 - May 31, 2025
    Area covered
    United States
    Description

    Existing Home Sales in the United States increased to 4030 Thousand in May from 4000 Thousand in April of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  11. Third-Party Real Estate Activities in Bulgaria - Market Research Report...

    • ibisworld.com
    Updated Jun 29, 2025
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    IBISWorld (2025). Third-Party Real Estate Activities in Bulgaria - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/bulgaria/industry/third-party-real-estate-activities/200282/
    Explore at:
    Dataset updated
    Jun 29, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Bulgaria
    Description

    Companies operating in the third-party real estate industry have had to navigate numerous economic headwinds in recent years, ranging from rising interest rates, spiralling inflation and muted economic growth. Typically, estate agents can earn income via fees and commissions charged to clients, which allows them to protect their operating profit margin from property price fluctuations. Revenue is projected to sink at a compound annual rate of 0.6% over the five years through 2025, including an estimated rise of 1.2% in 2025 to €207.6billion, while the average industry profit margin is forecast to reach 35.1%. Amid spiralling inflation, central banks across Europe ratcheted up interest rates, resulting in borrowing costs skyrocketing in the two years through 2023. In residential markets, elevated mortgage rates combined with tightening credit conditions eventually ate into demand, inciting a drop in house prices. Rental markets performed well when house prices were elevated, being the cheaper alternative for cash-strapped buyers. However, even lessors felt the pinch of rising mortgage rates, forcing them to hoist rent to cover costs and pricing out potential buyers. This led to a slowdown in rental markets in 2023, weighing on revenue growth. However, this have started to turn around in 2025 as interest rates have been falling across Europe in the two years through 2025, reducing borrowing costs for buyers and boosting property transactions. This has helped revenue to rebound slightly in 2025 as estate agents earn commission from property transactions. Revenue is forecast to swell at a compound annual rate of 3.7% over the five years through 2030 to €249.5 billion. Housing prices are recovering in 2025 as fixed-rate mortgages begin to drop and economic uncertainty subsides, aiding revenue growth in the short term. Over the coming years, Proptech, which has been heavily invested in, will force estate agents to adapt, shaking up the traditional real estate industry. A notable application of Proptech is the use of AI and data analytics to predict a home’s future value and speed up the process of retrofitting properties to become more sustainable.

  12. Third-Party Real Estate Activities in Russia - Market Research Report...

    • ibisworld.com
    Updated Jul 15, 2025
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    IBISWorld (2025). Third-Party Real Estate Activities in Russia - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/russia/industry/third-party-real-estate-activities/200282/
    Explore at:
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Russia
    Description

    Companies operating in the third-party real estate industry have had to navigate numerous economic headwinds in recent years, notably rising interest rates, spiralling inflation and muted economic growth. Revenue is projected to sink at a compound annual rate of 0.6% over the five years through 2025, including an estimated jump of 1.2% in 2025 to €207.6 billion, while the average industry profit margin is forecast to reach 35.1%. Amid spiralling inflation, central banks across Europe ratcheted up interest rates, resulting in borrowing costs skyrocketing over the two years through 2023. In residential markets, elevated mortgage rates combined with tightening credit conditions eventually ate into demand, inciting a drop in house prices. Rental markets performed well when house prices were elevated (2021-2023), being the cheaper alternative for cash-strapped buyers. However, even lessors felt the pinch of rising mortgage rates, forcing them to hoist rent prices to cover costs and pricing out potential buyers. This led to a slowdown in rental markets in 2023, weighing on revenue growth. However, this has started to turn around in 2025 as interest rates have been falling across Europe in the two years through 2025, reducing borrowing costs for buyers and boosting property transactions. This has helped revenue to rebound slightly in 2025 as estate agents earn commission from property transactions. Revenue is forecast to swell at a compound annual rate of 3.7% over the five years through 2030 to €249.5 billion. Housing prices are recovering in 2025 as fixed-rate mortgages begin to drop and economic uncertainty subsides, aiding revenue growth in the short term. Over the coming years, PropTech—technology-driven innovations designed to improve and streamline the real estate industry—will force estate agents to adapt, shaking up the traditional real estate sector. A notable application of PropTech is the use of AI and data analytics to predict a home’s future value and speed up the process of retrofitting properties to become more sustainable.

  13. T

    China Newly Built House Prices YoY Change

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 19, 2025
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    TRADING ECONOMICS (2025). China Newly Built House Prices YoY Change [Dataset]. https://tradingeconomics.com/china/housing-index
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    May 19, 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
    Jan 31, 2011 - Jun 30, 2025
    Area covered
    China
    Description

    Housing Index in China decreased by 3.20 percent in June from -3.50 percent in May 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.

  14. o

    Replication data for: A Real Estate Boom with Chinese Characteristics

    • openicpsr.org
    Updated Feb 1, 2017
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    Edward Glaeser; Wei Huang; Yueran Ma; Andrei Shleifer (2017). Replication data for: A Real Estate Boom with Chinese Characteristics [Dataset]. http://doi.org/10.3886/E113990V1
    Explore at:
    Dataset updated
    Feb 1, 2017
    Dataset provided by
    American Economic Association
    Authors
    Edward Glaeser; Wei Huang; Yueran Ma; Andrei Shleifer
    Area covered
    China
    Description

    Chinese housing prices rose by over 10 percent per year in real terms between 2003 and 2014 and are now between two and ten times higher than the construction cost of apartments. At the same time, Chinese developers built 100 billion square feet of residential real estate. This boom has been accompanied by a large increase in the number of vacant homes, held by both developers and households. This boom may turn out to be a housing bubble followed by a crash, yet that future is far from certain. The demand for real estate in China is so strong that current prices might be sustainable, especially given the sparse alternative investments for Chinese households, so long as the level of new supply is radically curtailed. Whether that happens depends on the policies of the Chinese government, which must weigh the benefits of price stability against the costs of restricting urban growth.

  15. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 23, 2025
    + more versions
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 23, 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 Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q1 2025 about sales, median, housing, and USA.

  16. F

    Housing Inventory: Active Listing Count in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in the United States [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOUUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in the United States (ACTLISCOUUS) from Jul 2016 to Jun 2025 about active listing, listing, and USA.

  17. F

    Real Residential Property Prices for China

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
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    (2025). Real Residential Property Prices for China [Dataset]. https://fred.stlouisfed.org/series/QCNR628BIS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

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

    Description

    Graph and download economic data for Real Residential Property Prices for China (QCNR628BIS) from Q2 2005 to Q1 2025 about China, residential, HPI, housing, real, price index, indexes, and price.

  18. Third-Party Real Estate Activities in Romania - Market Research Report...

    • ibisworld.com
    Updated Jun 29, 2025
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    IBISWorld (2025). Third-Party Real Estate Activities in Romania - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/romania/industry/third-party-real-estate-activities/200282/
    Explore at:
    Dataset updated
    Jun 29, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Romania
    Description

    Companies operating in the third-party real estate industry have had to navigate numerous economic headwinds in recent years, ranging from rising interest rates, spiralling inflation and muted economic growth. Typically, estate agents can earn income via fees and commissions charged to clients, which allows them to protect their operating profit margin from property price fluctuations. Revenue is projected to sink at a compound annual rate of 0.6% over the five years through 2025, including an estimated rise of 1.2% in 2025 to €207.6billion, while the average industry profit margin is forecast to reach 35.1%. Amid spiralling inflation, central banks across Europe ratcheted up interest rates, resulting in borrowing costs skyrocketing in the two years through 2023. In residential markets, elevated mortgage rates combined with tightening credit conditions eventually ate into demand, inciting a drop in house prices. Rental markets performed well when house prices were elevated, being the cheaper alternative for cash-strapped buyers. However, even lessors felt the pinch of rising mortgage rates, forcing them to hoist rent to cover costs and pricing out potential buyers. This led to a slowdown in rental markets in 2023, weighing on revenue growth. However, this have started to turn around in 2025 as interest rates have been falling across Europe in the two years through 2025, reducing borrowing costs for buyers and boosting property transactions. This has helped revenue to rebound slightly in 2025 as estate agents earn commission from property transactions. Revenue is forecast to swell at a compound annual rate of 3.7% over the five years through 2030 to €249.5 billion. Housing prices are recovering in 2025 as fixed-rate mortgages begin to drop and economic uncertainty subsides, aiding revenue growth in the short term. Over the coming years, Proptech, which has been heavily invested in, will force estate agents to adapt, shaking up the traditional real estate industry. A notable application of Proptech is the use of AI and data analytics to predict a home’s future value and speed up the process of retrofitting properties to become more sustainable.

  19. Data from: Housing Price Indexes

    • kaggle.com
    Updated Nov 29, 2024
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    Noey Ignacio (2024). Housing Price Indexes [Dataset]. https://www.kaggle.com/datasets/noeyislearning/housing-price-indexes
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 29, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Noey Ignacio
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides a comprehensive overview of new housing price indexes in Canada. The data is sourced from a reliable statistical survey, offering a detailed breakdown of housing prices across different components such as total house and land, house only, and land only. The dataset is structured to include key metrics such as geographical location, price index classification, and specific price values, providing a robust foundation for analyzing housing price dynamics within the country.

    Key Features

    • Price Index Metrics: The dataset includes price indexes for total house and land, house only, and land only, providing a complete picture of housing price dynamics across different components.
    • Geographical Focus: Data is specific to Canada, providing insights into national housing price trends and patterns.
    • Unit of Measurement: Information is presented in index units (201612=100), allowing for straightforward analysis and comparison.
    • Temporal Precision: The data is time-stamped for January 1981, ensuring relevance and accuracy for temporal analysis.

    Potential Uses

    • Real Estate Market Analysis: Assist in understanding the housing price dynamics in Canada, which is crucial for real estate market forecasting and planning.
    • Investment Decisions: Provide insights into optimal investment strategies for real estate in various regions.
    • Economic Policy: Support policymakers in monitoring and ensuring compliance with housing market trends and economic standards.
    • Market-Specific Insights: Evaluate the impact of housing price trends on specific regions and potential growth or decline areas.
    • Strategic Planning: Inform strategic planning for real estate developers and policymakers by providing a clear snapshot of current housing price levels and trends.
  20. F

    Real Residential Property Prices for United States

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
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    (2025). Real Residential Property Prices for United States [Dataset]. https://fred.stlouisfed.org/series/QUSR628BIS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q1 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

Share
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Close
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Statista (2025). Office real estate repeat sales index in the U.S. 1996-2024 [Dataset]. https://www.statista.com/statistics/1379467/ccrsi-office-real-estate-usa/
Organization logo

Office real estate repeat sales index in the U.S. 1996-2024

Explore at:
Dataset updated
Jul 9, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The CoStar Commercial Repeat-Sales Index (CCRSI) for office real estate in the United States started to fall in 2022, after more than a decade of steady growth. The index measures the development of sales prices of office properties with 2000 chosen as a base year. An index value of *** means that sales prices have doubled since 2000. In March 2024, the value-weighed index, which is more representative of the high-value deals in core markets, hit *** index points, down from a market peak of *** in December 2021. The equal-weighed index is more influenced by the lower-priced deals that comprise the higher share of transactions. It stood at *** index points in March 2024, down from a market peak of *** in June 2022.

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