100+ datasets found
  1. T

    United States Existing Home Sales Prices

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Existing Home Sales Prices [Dataset]. https://tradingeconomics.com/united-states/single-family-home-prices
    Explore at:
    xml, excel, json, csvAvailable 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, 1968 - Jun 30, 2025
    Area covered
    United States
    Description

    Single Family Home Prices in the United States increased to 435300 USD in June from 423700 USD in May of 2025. This dataset provides - United States Existing Single Family Home Prices- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. R

    Residential Real Estate Market in the United States Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Data Insights Market (2025). Residential Real Estate Market in the United States Report [Dataset]. https://www.datainsightsmarket.com/reports/residential-real-estate-market-in-the-united-states-17275
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global, United States
    Variables measured
    Market Size
    Description

    The US residential real estate market, a cornerstone of the American economy, is projected to experience steady growth over the next decade. While the provided CAGR of 2.04% is a modest figure, it reflects a market maturing after a period of significant expansion. This sustained growth is driven by several key factors. Firstly, population growth and urbanization continue to fuel demand for housing, particularly in densely populated areas and emerging suburban markets. Secondly, low interest rates (historically, though this can fluctuate) have made mortgages more accessible, stimulating buyer activity. Thirdly, a robust construction sector, though facing challenges in material costs and labor shortages, is gradually increasing the housing supply, mitigating some of the upward pressure on prices. However, challenges remain. Rising inflation and potential interest rate hikes pose a risk to affordability, potentially dampening demand. Furthermore, the ongoing evolution of remote work is reshaping residential preferences, with a shift toward larger homes in suburban or exurban locations. This trend impacts the relative demand for various property types, potentially increasing the appeal of landed houses and villas compared to apartments and condominiums in certain regions. The segmentation of the market into apartments/condominiums and landed houses/villas provides crucial insights into consumer preferences and investment strategies. High-density urban areas will continue to see strong demand for apartments and condos, while suburban and rural areas are likely to experience a greater increase in landed property sales. Major players like Simon Property Group, Mill Creek Residential, and others are strategically adapting to these trends, focusing on both development and management across various property types and geographic locations. Analyzing regional data within the US (e.g., comparing growth in the Northeast versus the Southwest) will highlight market nuances and potential investment opportunities. While the global data provided is valuable for understanding broader market forces, focusing the analysis on the US market allows for a more granular understanding of the specific drivers, trends, and challenges within this significant segment of the real estate sector. The forecast period (2025-2033) suggests continued, albeit measured, expansion. Recent developments include: May 2022: Resource REIT Inc. completed the sale of all of its outstanding shares of common stock to Blackstone Real Estate Income Trust Inc. for USD 14.75 per share in an all-cash deal valued at USD 3.7 billion, including the assumption of the REIT's debt., February 2022: The largest owner of commercial real estate in the world and private equity company Blackstone is growing its portfolio of residential rentals and commercial properties in the United States. The company revealed that it would shell out about USD 6 billion to buy Preferred Apartment Communities, an Atlanta-based real estate investment trust that owns 44 multifamily communities and roughly 12,000 homes in the Southeast, mostly in Atlanta, Nashville, Charlotte, North Carolina, and the Florida cities of Jacksonville, Orlando, and Tampa.. Key drivers for this market are: Investment Plan Towards Urban Rail Development. Potential restraints include: Italy’s Fragmented Approach to Tenders. Notable trends are: Existing Home Sales Witnessing Strong Growth.

  3. T

    China Newly Built House Prices YoY Change

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, China Newly Built House Prices YoY Change [Dataset]. https://tradingeconomics.com/china/housing-index
    Explore at:
    xml, excel, csv, 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
    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.

  4. T

    United States FHFA House Price Index

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States FHFA House Price Index [Dataset]. https://tradingeconomics.com/united-states/housing-index
    Explore at:
    xml, excel, json, csvAvailable 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, 1991 - May 31, 2025
    Area covered
    United States
    Description

    Housing Index in the United States decreased to 434.40 points in May from 435.10 points in April of 2025. This dataset provides the latest reported value for - United States House Price Index MoM Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  5. [REDFIN] US Housing Market Prices 2017-2024

    • kaggle.com
    Updated Feb 22, 2024
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    Abhimanyu Aryan (2024). [REDFIN] US Housing Market Prices 2017-2024 [Dataset]. https://www.kaggle.com/datasets/abhimanyuaryan/redfin-us-housing-market-prices-2017-2023
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 22, 2024
    Dataset provided by
    Kaggle
    Authors
    Abhimanyu Aryan
    Area covered
    United States
    Description

    About Dataset

    Source

    The source of this dataset is REDFIN Data Center. To download the latest dataset available, please go to: https://www.redfin.com/news/data-center/

    They also provide a page with the definitions for each metric used here: https://www.redfin.com/news/data-center-metrics-definitions/

    For more informaton on Data and Data Quality, please visit: https://www.redfin.com/about/data-quality-on-redfin Reading the Data

    The data is a .tsv format and can be imported using pandas as follows:

    df = pd.read_csv("weekly_housing_market_data_most_recent.tsv000", sep='\t')

    MOST RECENT DATAPOINT: 2022-07-11

  6. F

    All-Transactions House Price Index for Virginia Beach-Norfolk-Newport News,...

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for Virginia Beach-Norfolk-Newport News, VA-NC (MSA) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS47260Q
    Explore at:
    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
    Newport News, Hampton Roads, Virginia, North Carolina
    Description

    Graph and download economic data for All-Transactions House Price Index for Virginia Beach-Norfolk-Newport News, VA-NC (MSA) (ATNHPIUS47260Q) from Q3 1976 to Q1 2025 about Virginia Beach, VA, NC, appraisers, HPI, housing, price index, indexes, price, and USA.

  7. T

    United Kingdom House Price Index

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). United Kingdom House Price Index [Dataset]. https://tradingeconomics.com/united-kingdom/housing-index
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jul 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, 1983 - Jul 31, 2025
    Area covered
    United Kingdom
    Description

    Housing Index in the United Kingdom increased to 514.30 points in July from 512.40 points in June of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. F

    All-Transactions House Price Index for Newport News city, VA

    • fred.stlouisfed.org
    json
    Updated Mar 25, 2025
    + more versions
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    (2025). All-Transactions House Price Index for Newport News city, VA [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS51700A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 25, 2025
    License

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

    Area covered
    Newport News, Virginia
    Description

    Graph and download economic data for All-Transactions House Price Index for Newport News city, VA (ATNHPIUS51700A) from 1975 to 2024 about Newport News City, VA; Virginia Beach; VA; HPI; housing; price index; indexes; price; and USA.

  9. Average square meter house price of newly built homes Spain 2007-2023

    • statista.com
    Updated May 22, 2024
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    Statista (2024). Average square meter house price of newly built homes Spain 2007-2023 [Dataset]. https://www.statista.com/statistics/771735/prices-media-from-the-living-place-spain/
    Explore at:
    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    After a long period of steady increase in real estate prices in Spain, the market was hit by the global financial crisis of 2007, resulting in the burst of the Spanish property bubble. House prices have since picked up and in 2023, the average square meter price reached 2,809 euros - just slightly below 2008 levels. Though prices have risen across the whole country, some regions, such as the Balearic Islands, Catalonia, Madrid, and Andalusia, experienced faster growth than others. Additionally, the gap between newly built and existing home prices has widened. Spain’s real estate market behind others The property market has made great progress, but it is still far off the rest of its European counterparts, and it is positioned, in fact, at the bottom of the European list of the EMF’s house price index, which is led by Czechia and Portugal. Supply is a major factor influencing the price development. Many European countries suffer housing shortages due to sluggish construction activity, and Spain is no exception. In 2022, ranked among the countries with the lowest number of residential construction starts per 1,000 citizens in Europe. Buying vs renting As happens with many other countries, the affordability of buying a home and renting will differ considerably dependent on the area. In 2022, the average Spanish citizen needed between five and 18 years to purchase an average priced property in their region with their full salary, with Murcia and La Rioja being the most affordable regions. The house price to rent index shows that house price growth has been much faster than rental growth. That is good news for homeowners whose homes appreciate over time, but an issue for renters who are yet to purchase a property.

  10. European Prefabricated Buildings Market to Increase Steadily - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Aug 1, 2025
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    IndexBox Inc. (2025). European Prefabricated Buildings Market to Increase Steadily - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/eu-prefab-housing-market-overview/
    Explore at:
    doc, pdf, docx, xlsx, xlsAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Aug 1, 2025
    Area covered
    Europe, European Union
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    From 2007 to 2016, the EU prefabricated buildings market showed a mixed trend pattern. A significant drop in 2008 (79% Y-o-Y) was followed by a gradual increase over the next three years until it plunged again in 2013 (91% Y-o-Y).

  11. M

    HPI y/y - economic news from the United States

    • mql5.com
    csv
    Updated Aug 5, 2025
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    MQL5 Community (2025). HPI y/y - economic news from the United States [Dataset]. https://www.mql5.com/en/economic-calendar/united-states/house-price-index-yy
    Explore at:
    csvAvailable download formats
    Dataset updated
    Aug 5, 2025
    Dataset authored and provided by
    MQL5 Community
    Time period covered
    Aug 29, 2023 - Jul 29, 2025
    Area covered
    United States
    Description

    House Price Index y/y measures average changes in the value of single-family homes in the US in the given month compared to the same period of the previous year. Higher housing prices can strengthen

  12. Average house price in Canada 2018-2024, with a forecast by 2026

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Average house price in Canada 2018-2024, with a forecast by 2026 [Dataset]. https://www.statista.com/statistics/604228/median-house-prices-canada/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The average Canadian house price declined slightly in 2023, after four years of consecutive growth. The average house price stood at ******* Canadian dollars in 2023 and was forecast to reach ******* Canadian dollars by 2026. Home sales on the rise The number of housing units sold is also set to increase over the two-year period. From ******* units sold, the annual number of home sales in the country is expected to rise to ******* in 2025. British Columbia and Ontario have traditionally been housing markets with prices above the Canadian average, and both are set to witness an increase in sales in 2025. How did Canadians feel about the future development of house prices? When it comes to consumer confidence in the performance of the real estate market in the next six months, Canadian consumers in 2024 mostly expected that the market would go up. A slightly lower share of the respondents believed real estate prices would remain the same.

  13. Average sales price of new homes sold in the U.S. 1965-2024

    • statista.com
    Updated Jan 30, 2025
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    Statista (2025). Average sales price of new homes sold in the U.S. 1965-2024 [Dataset]. https://www.statista.com/statistics/240991/average-sales-prices-of-new-homes-sold-in-the-us/
    Explore at:
    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.

  14. T

    Hong Kong House Price Index

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Hong Kong House Price Index [Dataset]. https://tradingeconomics.com/hong-kong/housing-index
    Explore at:
    excel, xml, csv, 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 2, 1994 - Aug 10, 2025
    Area covered
    Hong Kong
    Description

    Housing Index in Hong Kong increased to 138.63 points in August 10 from 137.19 points in the previous week. This dataset provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. M

    Rental Apps for Real Estate Market Growth By USD 38.4 Bn

    • scoop.market.us
    Updated Apr 11, 2025
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    Market.us Scoop (2025). Rental Apps for Real Estate Market Growth By USD 38.4 Bn [Dataset]. https://scoop.market.us/rental-apps-for-real-estate-market-news/
    Explore at:
    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    Market.us Scoop
    License

    https://scoop.market.us/privacy-policyhttps://scoop.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    The global rental apps for real estate market are witnessing rapid digital transformation, with the market size projected to grow from USD 12.03 billion in 2024 to USD 38.4 billion by 2034, expanding at a CAGR of 12.30% during the forecast period.

    This growth is driven by increased smartphone penetration, evolving consumer preferences, and the rising adoption of digital platforms for property search and lease management. In 2024, North America dominated the market with a 36.1% share, generating approximately USD 4.3 billion in revenue. The U.S. market alone was valued at USD 3.91 billion and is expected to grow at a CAGR of 11.4%.

    https://sp-ao.shortpixel.ai/client/to_auto,q_lossy,ret_img,w_768/https://market.us/wp-content/uploads/2025/03/Rental-Apps-for-Real-Estate-Market-size-768x444.jpg" alt="">

    Among the application types, mobile apps led the way, capturing 62.1% of the market, offering users on-the-go access to property listings, virtual tours, and real-time communications. The residential segment accounted for 65.3% of the overall market due to growing urban migration and demand for short-term housing.

    Short-term rentals dominated usage, commanding a 76.4% share, driven by the popularity of vacation rentals and flexible leasing. Individual consumers made up 75.8% of the user base, highlighting a shift towards self-service property management tools. These trends indicate a strong consumer appetite for seamless, digital-first real estate solutions.

  16. F

    Housing Inventory: Median Listing Price in Newport News City, VA

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Housing Inventory: Median Listing Price in Newport News City, VA [Dataset]. https://fred.stlouisfed.org/series/MEDLISPRI51700
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Area covered
    Newport News, Virginia
    Description

    Graph and download economic data for Housing Inventory: Median Listing Price in Newport News City, VA (MEDLISPRI51700) from Jul 2016 to Jul 2025 about Newport News City, VA; Virginia Beach; VA; listing; median; price; and USA.

  17. Understanding the Dynamics and Implications of a Housing Market Recession...

    • kappasignal.com
    Updated May 25, 2023
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    KappaSignal (2023). Understanding the Dynamics and Implications of a Housing Market Recession (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/understanding-dynamics-and-implications.html
    Explore at:
    Dataset updated
    May 25, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Understanding the Dynamics and Implications of a Housing Market Recession

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  18. UK House Price Index: data downloads October 2023

    • gov.uk
    Updated Dec 20, 2023
    + more versions
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    HM Land Registry (2023). UK House Price Index: data downloads October 2023 [Dataset]. https://www.gov.uk/government/statistical-data-sets/uk-house-price-index-data-downloads-october-2023
    Explore at:
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Land Registry
    Area covered
    United Kingdom
    Description

    The UK House Price Index is a National Statistic.

    Create your report

    Download the full UK House Price Index data below, or use our tool to https://landregistry.data.gov.uk/app/ukhpi?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=tool&utm_term=9.30_20_12_23" class="govuk-link">create your own bespoke reports.

    Download the data

    Datasets are available as CSV files. Find out about republishing and making use of the data.

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

    Full file

    This file includes a derived back series for the new UK HPI. Under the UK HPI, data is available from 1995 for England and Wales, 2004 for Scotland and 2005 for Northern Ireland. A longer back series has been derived by using the historic path of the Office for National Statistics HPI to construct a series back to 1968.

    Download the full UK HPI background file:

    Individual attributes files

    If you are interested in a specific attribute, we have separated them into these CSV files:

  19. F

    Housing Inventory: Average Listing Price in Newport News City, VA

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Housing Inventory: Average Listing Price in Newport News City, VA [Dataset]. https://fred.stlouisfed.org/series/AVELISPRI51700
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Area covered
    Newport News, Virginia
    Description

    Graph and download economic data for Housing Inventory: Average Listing Price in Newport News City, VA (AVELISPRI51700) from Jul 2016 to Jul 2025 about Newport News City, VA; Virginia Beach; average; VA; listing; price; and USA.

  20. e

    Changes of Ownership by Dwelling Price, Borough

    • data.europa.eu
    unknown
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    Department for Communities and Local Government, Changes of Ownership by Dwelling Price, Borough [Dataset]. https://data.europa.eu/data/datasets/changes-ownership-dwelling-price-borough?locale=el
    Explore at:
    unknownAvailable download formats
    Dataset authored and provided by
    Department for Communities and Local Government
    Description

    Housing prices and number of transactions by dwelling type.

    House sales not at full market value are excluded.

    Ownership of this dataset remains with the Communities and Local Government (CLG). Information can only be reproduced if the source is fully acknowledged.

    The Land Registry (LR) and CLG have provided these datasets drawn from the Land Register.

    Information on outliers, that is transactions involving a very low or very high price, is included so that users can take their impact into account when using the data.

    Available for Middle Layer Super Output Area (MSOA).

    NOTE: This data has not been updated since 2009.

    See more on the ONS NESS website.

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TRADING ECONOMICS, United States Existing Home Sales Prices [Dataset]. https://tradingeconomics.com/united-states/single-family-home-prices

United States Existing Home Sales Prices

United States Existing Home Sales Prices - Historical Dataset (1968-01-31/2025-06-30)

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xml, excel, json, csvAvailable 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, 1968 - Jun 30, 2025
Area covered
United States
Description

Single Family Home Prices in the United States increased to 435300 USD in June from 423700 USD in May of 2025. This dataset provides - United States Existing Single Family Home Prices- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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