100+ datasets found
  1. 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
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    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.

  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. United States House Prices Growth

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
    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
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    United States
    Description

    Key information about House Prices Growth

    • US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
    • House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

    CEIC calculates House Prices Growth from quarterly House Price Index. Federal Housing Finance Agency provides House Price Index with base January 1991=100.

  4. U

    United States Median Home Sale Price: All Residential: Alexander City, AL

    • ceicdata.com
    Updated Sep 11, 2020
    + more versions
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    CEICdata.com (2020). United States Median Home Sale Price: All Residential: Alexander City, AL [Dataset]. https://www.ceicdata.com/en/united-states/median-home-sale-price-by-metropolitan-areas
    Explore at:
    Dataset updated
    Sep 11, 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
    Jul 1, 2019 - Jul 1, 2020
    Area covered
    United States
    Description

    Median Home Sale Price: All Residential: Alexander City, AL data was reported at 170.000 USD th in Jul 2020. This records an increase from the previous number of 114.000 USD th for Jun 2020. Median Home Sale Price: All Residential: Alexander City, AL data is updated monthly, averaging 117.500 USD th from Mar 2012 (Median) to Jul 2020, with 58 observations. The data reached an all-time high of 410.000 USD th in Aug 2012 and a record low of 7.000 USD th in Mar 2014. Median Home Sale Price: All Residential: Alexander City, AL data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB056: Median Home Sale Price: by Metropolitan Areas.

  5. Residential Real Estate Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 22, 2024
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    Dataintelo (2024). Residential Real Estate Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-residential-real-estate-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 22, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Residential Real Estate Market Outlook



    The global residential real estate market size was valued at approximately $9.7 trillion in 2023 and is projected to reach an astounding $15.4 trillion by 2032, growing at a compound annual growth rate (CAGR) of 5.2%. This growth is driven by several factors, including increasing urbanization, rising disposable incomes, and the ongoing global shift towards homeownership as a stable investment. Demographic shifts, such as the growing number of nuclear families and millennials entering the housing market, also contribute significantly to this upward trend.



    One of the primary growth factors for the residential real estate market is the increasing urbanization across the globe. As more people migrate to urban areas in search of better job opportunities and a higher standard of living, the demand for residential properties in cities continues to rise. This trend is particularly pronounced in developing countries, where rapid economic growth is accompanied by significant rural-to-urban migration. Additionally, the trend of urban redevelopment and the creation of smart cities are further fueling the demand for modern residential properties.



    Another crucial growth factor is the rise in disposable incomes and improved access to financing options. With strong economic growth in many parts of the world, individual incomes have been rising, allowing more people to afford homeownership. Financial institutions are also playing a critical role by offering a variety of mortgage products with attractive interest rates and flexible repayment terms. This increased access to capital has enabled a broader section of the population to invest in residential real estate, thereby expanding the market.



    Technological advancements and the digital transformation of the real estate sector are also contributing to market growth. The proliferation of online platforms and real estate technology (proptech) solutions has made the process of buying, selling, and renting properties more efficient and transparent. Virtual tours, online mortgage applications, and blockchain for property transactions are some of the innovations revolutionizing the industry. These technological advancements not only improve the customer experience but also attract tech-savvy millennials and Gen Z buyers.



    Regionally, the Asia-Pacific region is experiencing significant growth in the residential real estate market. Countries like China and India, with their large populations and rapid urbanization, are at the forefront of this expansion. Government initiatives aimed at providing affordable housing and improving infrastructure are also playing a pivotal role. In contrast, mature markets like North America and Europe are witnessing steady growth driven by economic stability and continued investment in housing. Meanwhile, regions like Latin America and the Middle East & Africa are also showing promise, albeit at a slower pace, due to varying economic conditions and market maturity levels.



    Property Type Analysis



    The residential real estate market is segmented by property type, including single-family homes, multi-family homes, condominiums, townhouses, and others. Single-family homes are the most traditional and widespread type of residential property. They are particularly popular in suburban areas where space is more abundant. The demand for single-family homes continues to be driven by the desire for privacy, larger living spaces, and the ability to customize the property. These homes appeal especially to families with children and those looking to invest in a long-term residence.



    Multi-family homes, which include duplexes, triplexes, and apartment buildings, are gaining traction, particularly in urban settings. These properties are attractive due to their potential for generating rental income and their ability to house multiple tenants. Investors find multi-family homes appealing as they offer a higher return on investment (ROI) compared to single-family homes. Additionally, the increasing trend of co-living and shared housing arrangements has bolstered the demand for multi-family properties in cities.



    Condominiums, or condos, are another significant segment within the residential real estate market. Condos are particularly popular in urban areas where land is scarce and expensive. They offer a balance between affordability and amenities, making them an attractive option for young professionals and small families. Condominiums often come with added benefits such as maintenance services, security, and shared facilities like gyms and swimmin

  6. S

    Spain Avg Housing Price: Free Market: Avila

    • ceicdata.com
    Updated Jul 17, 2018
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    CEICdata.com (2018). Spain Avg Housing Price: Free Market: Avila [Dataset]. https://www.ceicdata.com/en/spain/housing-prices-free-market-by-region-and-major-city
    Explore at:
    Dataset updated
    Jul 17, 2018
    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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Spain
    Variables measured
    Price
    Description

    Avg Housing Price: Free Market: Avila data was reported at 983.100 EUR/sq m in Sep 2018. This records an increase from the previous number of 940.800 EUR/sq m for Jun 2018. Avg Housing Price: Free Market: Avila data is updated quarterly, averaging 1,409.600 EUR/sq m from Mar 2005 (Median) to Sep 2018, with 55 observations. The data reached an all-time high of 1,976.000 EUR/sq m in Dec 2007 and a record low of 823.200 EUR/sq m in Jun 2016. Avg Housing Price: Free Market: Avila data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.

  7. S

    Spain Avg Housing Price: Free Market: Lugo

    • ceicdata.com
    Updated Jul 17, 2018
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    CEICdata.com (2018). Spain Avg Housing Price: Free Market: Lugo [Dataset]. https://www.ceicdata.com/en/spain/housing-prices-free-market-by-region-and-major-city
    Explore at:
    Dataset updated
    Jul 17, 2018
    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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Spain
    Variables measured
    Price
    Description

    Avg Housing Price: Free Market: Lugo data was reported at 918.100 EUR/sq m in Mar 2018. This records an increase from the previous number of 880.600 EUR/sq m for Dec 2017. Avg Housing Price: Free Market: Lugo data is updated quarterly, averaging 1,117.500 EUR/sq m from Mar 2005 (Median) to Mar 2018, with 53 observations. The data reached an all-time high of 1,511.100 EUR/sq m in Sep 2008 and a record low of 839.100 EUR/sq m in Sep 2015. Avg Housing Price: Free Market: Lugo data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.

  8. S

    Spain Avg Housing Price: Free Market: Caceres

    • ceicdata.com
    Updated Jul 17, 2018
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    CEICdata.com (2018). Spain Avg Housing Price: Free Market: Caceres [Dataset]. https://www.ceicdata.com/en/spain/housing-prices-free-market-by-region-and-major-city
    Explore at:
    Dataset updated
    Jul 17, 2018
    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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Spain
    Variables measured
    Price
    Description

    Avg Housing Price: Free Market: Caceres data was reported at 1,002.600 EUR/sq m in Mar 2018. This records a decrease from the previous number of 1,057.900 EUR/sq m for Dec 2017. Avg Housing Price: Free Market: Caceres data is updated quarterly, averaging 1,333.700 EUR/sq m from Mar 2005 (Median) to Mar 2018, with 53 observations. The data reached an all-time high of 1,637.100 EUR/sq m in Jun 2008 and a record low of 1,002.600 EUR/sq m in Mar 2018. Avg Housing Price: Free Market: Caceres data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.

  9. S

    Spain Avg Housing Price: Free Market: More than 5 Years Old

    • ceicdata.com
    Updated Jul 17, 2018
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    CEICdata.com (2018). Spain Avg Housing Price: Free Market: More than 5 Years Old [Dataset]. https://www.ceicdata.com/en/spain/housing-prices-free-market-by-region-and-major-city
    Explore at:
    Dataset updated
    Jul 17, 2018
    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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Spain
    Variables measured
    Price
    Description

    Avg Housing Price: Free Market: More than 5 Years Old data was reported at 1,559.400 EUR/sq m in Mar 2018. This records an increase from the previous number of 1,550.700 EUR/sq m for Dec 2017. Avg Housing Price: Free Market: More than 5 Years Old data is updated quarterly, averaging 1,517.500 EUR/sq m from Mar 2010 (Median) to Mar 2018, with 33 observations. The data reached an all-time high of 1,835.500 EUR/sq m in Mar 2010 and a record low of 1,445.100 EUR/sq m in Sep 2014. Avg Housing Price: Free Market: More than 5 Years Old data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.

  10. 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.

  11. Affordable Housing Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 30, 2025
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    Growth Market Reports (2025). Affordable Housing Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/affordable-housing-market-global-industry-analysis
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Affordable Housing Market Outlook



    According to our latest research, the affordable housing market size reached USD 69.2 billion globally in 2024, driven by rapid urbanization, supportive government policies, and rising demand for cost-effective housing solutions. The market is projected to expand at a robust CAGR of 6.1% from 2025 to 2033, reaching an estimated USD 117.4 billion by the end of the forecast period. The growth is primarily attributed to increasing urban migration, widening income disparities, and a surge in public and private investments aimed at addressing the global housing deficit. As per our latest research, the affordable housing sector is undergoing significant transformation as stakeholders focus on innovative construction methods, sustainable materials, and digital technologies to streamline project delivery and reduce costs.




    One of the primary growth drivers for the affordable housing market is the escalating rate of urbanization, particularly in emerging economies. Urban populations are swelling at an unprecedented pace, with millions migrating to cities in search of better employment opportunities and improved living standards. This mass migration has led to a surge in demand for affordable, quality housing, placing immense pressure on urban infrastructure and local governments. Consequently, both public and private sector players are ramping up investments in affordable housing projects, leveraging innovative financing models and partnerships to bridge the housing gap. Furthermore, the emergence of smart city initiatives and sustainable urban planning is fostering the development of integrated, affordable housing solutions that cater to the diverse needs of low- and middle-income populations.




    Another significant factor propelling the affordable housing market is the increasing involvement of governments and international organizations in addressing the global housing crisis. Numerous policy interventions, such as subsidies, tax incentives, and relaxed regulatory frameworks, are being introduced to stimulate the supply of affordable homes. Governments are also collaborating with private developers through public-private partnerships (PPPs) to expedite project execution and ensure long-term sustainability. Additionally, multilateral agencies and non-governmental organizations are providing technical and financial assistance to support large-scale affordable housing initiatives, particularly in regions with acute housing shortages. These concerted efforts are not only enhancing access to affordable housing but also fostering socio-economic development and reducing urban poverty.




    Technological advancements in construction methods and materials are further accelerating the growth of the affordable housing market. The adoption of modular and prefabricated construction techniques is enabling developers to deliver high-quality housing units at lower costs and within shorter timeframes. These innovative approaches are also contributing to improved energy efficiency, reduced environmental impact, and enhanced structural durability. Moreover, the integration of digital technologies, such as Building Information Modeling (BIM) and project management software, is streamlining the design, planning, and execution of affordable housing projects. As a result, stakeholders are increasingly embracing technology-driven solutions to optimize resource utilization, minimize risks, and ensure compliance with stringent regulatory standards.




    From a regional perspective, Asia Pacific continues to dominate the affordable housing market, accounting for the largest share in 2024, followed by North America and Europe. The region's rapid urbanization, burgeoning population, and proactive government policies are driving significant investments in affordable housing infrastructure. Countries such as China, India, and Indonesia are at the forefront, implementing ambitious housing schemes and leveraging innovative construction technologies to address the growing demand. Meanwhile, developed regions like North America and Europe are witnessing renewed interest in affordable housing, fueled by rising property prices, income inequality, and shifting demographic trends. Latin America and the Middle East & Africa are also emerging as promising markets, supported by favorable regulatory environments and increased foreign direct investments.



  12. T

    CorStat - Median Housing Prices

    • corstat.coronaca.gov
    application/rdfxml +5
    Updated May 3, 2018
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    City of Corona - Economic Development (2018). CorStat - Median Housing Prices [Dataset]. https://corstat.coronaca.gov/Government/CorStat-Median-Housing-Prices/yqxy-5wbq
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    csv, tsv, json, application/rdfxml, xml, application/rssxmlAvailable download formats
    Dataset updated
    May 3, 2018
    Dataset authored and provided by
    City of Corona - Economic Development
    Description

    Median housing prices provided by quarter. Additional information provided if applicable.
    Update Frequency: Quarterly
    Data Disclaimer: The City Of Corona (“Corona”) provides data available on this website as a service to the public. The data provided by Corona is based on historical data, information directly provided by Corona, information directly provided by Corona contractors and in some cases, information acquired during physical inspections. Corona does not guarantee the accuracy of this data and assumes no liability for any errors. The data shall be used for the sole purpose of providing the public with information regarding this program and not for any commercial, legal or other use. Corona assumes no liability for any decisions made or action taken or not taken by anyone using data provided from this website. Corona reserves the right to alter, amend or terminate at any time the display of this data.

  13. Housing Market Value Analysis - Urban Redevelopment Authority

    • catalog.data.gov
    • data.wprdc.org
    • +3more
    Updated Jan 24, 2023
    + more versions
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    Urban Redevelopment Authority of Pittsburgh (2023). Housing Market Value Analysis - Urban Redevelopment Authority [Dataset]. https://catalog.data.gov/dataset/housing-market-value-analysis-urban-redevelopment-authority
    Explore at:
    Dataset updated
    Jan 24, 2023
    Dataset provided by
    Urban Redevelopment Authority of Pittsburghhttp://www.ura.org/
    Description

    In late 2016, the URA, in conjunction with Reinvestment Fund, completed the 2016 Market Value Analysis (MVA) for the City of Pittsburgh. The Market Value Analysis (MVA) offers an approach for community revitalization; it recommends applying interventions not only to where there is a need for development but also in places where public investment can stimulate private market activity and capitalize on larger public investment activities. The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional neighborhood boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies. Pittsburgh’s 2016 MVA utilized data that helps to define the local real estate market between July, 2013 and June, 2016: • Median Sales Price • Variance of Sales Price • Percent Households Owner Occupied • Density of Residential Housing Units • Percent Rental with Subsidy • Foreclosures as a Percent of Sales • Permits as a Percent of Housing Units • Percent of Housing Units Built Before 1940 • Percent of Properties with Assessed Condition “Poor” or worse • Vacant Housing Units as a Percentage of Habitable Units The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources. During the research process, staff from the URA and Reinvestment Fund spent an extensive amount of effort ensuring the data and analysis was accurate. In addition to testing the data, staff physically examined different areas to verify the data sets being used were appropriate indicators and the resulting MVA categories accurately reflect the market.

  14. w

    2014 Housing Market Typology

    • data.wu.ac.at
    csv, json, kml, kmz +1
    Updated Feb 7, 2017
    + more versions
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    City of Baltimore (2017). 2014 Housing Market Typology [Dataset]. https://data.wu.ac.at/schema/data_gov/OGZmNzkxMWEtZGYyMC00Yjc3LWIwZGQtYmJlZWJhNGJlMTg5
    Explore at:
    kml, zip, csv, json, kmzAvailable download formats
    Dataset updated
    Feb 7, 2017
    Dataset provided by
    City of Baltimore
    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.

  15. Price Paid Data

    • gov.uk
    Updated Jun 27, 2025
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    HM Land Registry (2025). Price Paid Data [Dataset]. https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads
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    Dataset updated
    Jun 27, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Land Registry
    Description

    Our Price Paid Data includes information on all property sales in England and Wales that are sold for value and are lodged with us for registration.

    Get up to date with the permitted use of our Price Paid Data:
    check what to consider when using or publishing our Price Paid Data

    Using or publishing our Price Paid Data

    If you use or publish our Price Paid Data, you must add the following attribution statement:

    Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.

    Price Paid Data is released under the http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/" class="govuk-link">Open Government Licence (OGL). You need to make sure you understand the terms of the OGL before using the data.

    Under the OGL, HM Land Registry permits you to use the Price Paid Data for commercial or non-commercial purposes. However, OGL does not cover the use of third party rights, which we are not authorised to license.

    Price Paid Data contains address data processed against Ordnance Survey’s AddressBase Premium product, which incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data in the Price Paid Data:

    • for personal and/or non-commercial use
    • to display for the purpose of providing residential property price information services

    If you want to use the Address Data in any other way, you must contact Royal Mail. Email address.management@royalmail.com.

    Address data

    The following fields comprise the address data included in Price Paid Data:

    • Postcode
    • PAON Primary Addressable Object Name (typically the house number or name)
    • SAON Secondary Addressable Object Name – if there is a sub-building, for example, the building is divided into flats, there will be a SAON
    • Street
    • Locality
    • Town/City
    • District
    • County

    May 2025 data (current month)

    The May 2025 release includes:

    • the first release of data for May 2025 (transactions received from the first to the last day of the month)
    • updates to earlier data releases
    • Standard Price Paid Data (SPPD) and Additional Price Paid Data (APPD) transactions

    As we will be adding to the April data in future releases, we would not recommend using it in isolation as an indication of market or HM Land Registry activity. When the full dataset is viewed alongside the data we’ve previously published, it adds to the overall picture of market activity.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    Google Chrome (Chrome 88 onwards) is blocking downloads of our Price Paid Data. Please use another internet browser while we resolve this issue. We apologise for any inconvenience caused.

    We update the data on the 20th working day of each month. You can download the:

    Single file

    These include standard and additional price paid data transactions received at HM Land Registry from 1 January 1995 to the most current monthly data.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    The data is updated monthly and the average size of this file is 3.7 GB, you can download:

    • <a re

  16. Vital Signs: Home Prices – by metro

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Aug 21, 2019
    + more versions
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    Zillow (2019). Vital Signs: Home Prices – by metro [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Home-Prices-by-metro/7ksc-i6kn
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    application/rssxml, xml, csv, tsv, json, application/rdfxmlAvailable download formats
    Dataset updated
    Aug 21, 2019
    Dataset authored and provided by
    Zillowhttp://zillow.com/
    Description

    VITAL SIGNS INDICATOR Home Prices (EC7)

    FULL MEASURE NAME Home Prices

    LAST UPDATED August 2019

    DESCRIPTION Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE Zillow Median Sale Price (1997-2018) http://www.zillow.com/research/data/

    Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1997-2018; specific to each metro area) http://data.bls.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Median housing price estimates for the region, counties, cities, and zip code come from analysis of individual home sales by Zillow. The median sale price is the price separating the higher half of the sales from the lower half. In other words, 50 percent of home sales are below or above the median value. Zillow defines all homes as single-family residential, condominium, and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that you own in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums where the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Home sales prices are not reliably available for Houston, because Texas is a non-disclosure state. For more information on non-disclosure states, see: http://www.zillow.com/blog/chronicles-of-data-collection-ii-non-disclosure-states-3783/

    Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

  17. 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
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    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 - May 31, 2025
    Area covered
    China
    Description

    Housing Index in China decreased by 3.50 percent in May from -4 percent in April 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.

  18. T

    United States S&P Case-Shiller 20-City Composite Home Price Index

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). United States S&P Case-Shiller 20-City Composite Home Price Index [Dataset]. https://tradingeconomics.com/united-states/case-shiller-home-price-index
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2000 - Apr 30, 2025
    Area covered
    United States
    Description

    Case Shiller Home Price Index in the United States increased to 341.48 points in April from 338.39 points in March of 2025. This dataset provides the latest reported value for - United States S&P Case-Shiller Home Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  19. T

    United States New Home Average Sales Price

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 27, 2025
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    TRADING ECONOMICS (2025). United States New Home Average Sales Price [Dataset]. https://tradingeconomics.com/united-states/average-house-prices
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1975 - May 31, 2025
    Area covered
    United States
    Description

    Average House Prices in the United States increased to 522200 USD in May from 511200 USD in April of 2025. This dataset includes a chart with historical data for the United States New Home Average Sales Price.

  20. Affordable Housing and Housing Price Index in Taipei City

    • data.gov.tw
    csv
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    Department of Budget, Accounting and Statistics,Taipei City Government, Affordable Housing and Housing Price Index in Taipei City [Dataset]. https://data.gov.tw/en/datasets/132593
    Explore at:
    csvAvailable download formats
    Dataset provided by
    Department of Budget, Accounting and Statistics
    Authors
    Department of Budget, Accounting and Statistics,Taipei City Government
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    Taipei City, Taipei
    Description

    Statistical data for affordable housing and residential price indexes in Taipei City

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(2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS

Median Sales Price of Houses Sold for the United States

MSPUS

Explore at:
62 scholarly articles cite this dataset (View in Google Scholar)
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.

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