100+ datasets found
  1. T

    China Newly Built House Prices YoY Change

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 14, 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
    Nov 14, 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 - Oct 31, 2025
    Area covered
    China
    Description

    Housing Index in China remained unchanged at -2.20 percent in October. 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.

  2. Fastest growing housing markets worldwide 2025

    • statista.com
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    Statista, Fastest growing housing markets worldwide 2025 [Dataset]. https://www.statista.com/statistics/1041586/price-growth-fastest-growing-home-markets-worldwide/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Turkey experienced the highest annual change in house prices in 2025, followed by North Macedonia and Portugal. In the second quarter of the year, the nominal house price in Turkey grew by **** percent, while in North Macedonia and Portugal, the increase was **** and **** percent, respectively. Meanwhile, some countries saw prices fall throughout the year. That has to do with an overall cooling of the global housing market that started in 2022. When accounting for inflation, house price growth was slower, and even more countries saw the market shrink.

  3. Housing Price Data

    • kaggle.com
    zip
    Updated Mar 13, 2024
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    Saurabh Badole (2024). Housing Price Data [Dataset]. https://www.kaggle.com/datasets/saurabhbadole/housing-price-data
    Explore at:
    zip(4762 bytes)Available download formats
    Dataset updated
    Mar 13, 2024
    Authors
    Saurabh Badole
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    Description:

    This dataset contains various features of residential properties along with their corresponding prices. It is suitable for exploring and analyzing factors influencing housing prices and for building predictive models to estimate the price of a property based on its attributes.

    FeatureDescription
    priceThe price of the property.
    areaThe total area of the property in square feet.
    bedroomsThe number of bedrooms in the property.
    bathroomsThe number of bathrooms in the property.
    storiesThe number of stories (floors) in the property.
    mainroadIndicates whether the property is located on a main road (binary: yes/no).
    guestroomIndicates whether the property has a guest room (binary: yes/no).
    basementIndicates whether the property has a basement (binary: yes/no).
    hotwaterheatingIndicates whether the property has hot water heating (binary: yes/no).
    airconditioningIndicates whether the property has air conditioning (binary: yes/no).
    parkingThe number of parking spaces available with the property.
    prefareaIndicates whether the property is in a preferred area (binary: yes/no).
    furnishingstatusThe furnishing status of the property (e.g., furnished, semi-furnished, unfurnished).

    Usage:

    • This dataset can be used for exploratory data analysis to understand the relationships between different housing features and prices.
    • It can also be used to build machine learning models for predicting housing prices based on the given features.

    License: This dataset is made available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

  4. F

    Real Residential Property Prices for Emerging Markets (aggregate)

    • fred.stlouisfed.org
    json
    Updated Nov 27, 2025
    + more versions
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    (2025). Real Residential Property Prices for Emerging Markets (aggregate) [Dataset]. https://fred.stlouisfed.org/series/Q4TR771BIS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 27, 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 Emerging Markets (aggregate) (Q4TR771BIS) from Q4 2008 to Q2 2025 about emerging markets, residential, HPI, housing, real, price index, indexes, and price.

  5. 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 - Nov 23, 2025
    Area covered
    Hong Kong
    Description

    Housing Index in Hong Kong increased to 143.46 points in November 23 from 142.49 points in the previous week. This dataset provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. House-price-to-income ratio in selected countries worldwide 2024

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). House-price-to-income ratio in selected countries worldwide 2024 [Dataset]. https://www.statista.com/statistics/237529/price-to-income-ratio-of-housing-worldwide/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

  7. T

    United States Existing Home Sales Prices

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 16, 2025
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    TRADING ECONOMICS (2025). 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 updated
    Oct 16, 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 - Oct 31, 2025
    Area covered
    United States
    Description

    Single Family Home Prices in the United States increased to 415200 USD in October from 412300 USD in September of 2025. This dataset provides - United States Existing Single Family Home Prices- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. T

    United States FHFA House Price Index

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). United States FHFA House Price Index [Dataset]. https://tradingeconomics.com/united-states/housing-index
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Sep 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, 1991 - Sep 30, 2025
    Area covered
    United States
    Description

    Housing Index in the United States decreased to 435.40 points in September from 435.60 points in August 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.

  9. T

    United Kingdom House Price Index

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 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
    Oct 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 - Oct 31, 2025
    Area covered
    United Kingdom
    Description

    Housing Index in the United Kingdom increased to 517.10 points in October from 514.20 points in September of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  10. 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.

  11. Annual home price appreciation in the U.S. 2025, by state

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Annual home price appreciation in the U.S. 2025, by state [Dataset]. https://www.statista.com/statistics/1240802/annual-home-price-appreciation-by-state-usa/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    House prices grew year-on-year in most states in the U.S. in the first quarter of 2025. Hawaii was the only exception, with a decline of **** percent. The annual appreciation for single-family housing in the U.S. was **** percent, while in Rhode Island—the state where homes appreciated the most—the increase was ******percent. How have home prices developed in recent years? House price growth in the U.S. has been going strong for years. In 2025, the median sales price of a single-family home exceeded ******* U.S. dollars, up from ******* U.S. dollars five years ago. One of the factors driving house prices was the cost of credit. The record-low federal funds effective rate allowed mortgage lenders to set mortgage interest rates as low as *** percent. With interest rates on the rise, home buying has also slowed, causing fluctuations in house prices. Why are house prices growing? Many markets in the U.S. are overheated because supply has not been able to keep up with demand. How many homes enter the housing market depends on the construction output, whereas the availability of existing homes for purchase depends on many other factors, such as the willingness of owners to sell. Furthermore, growing investor appetite in the housing sector means that prospective homebuyers have some extra competition to worry about. In certain metros, for example, the share of homes bought by investors exceeded ** percent in 2025.

  12. USA House Prices

    • kaggle.com
    zip
    Updated Jul 21, 2024
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    Fırat Özcan (2024). USA House Prices [Dataset]. https://www.kaggle.com/datasets/fratzcan/usa-house-prices/code
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    zip(121422 bytes)Available download formats
    Dataset updated
    Jul 21, 2024
    Authors
    Fırat Özcan
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    United States
    Description

    Real estate markets are of great importance for both local and international investors. Sydney and Melbourne are two dynamic markets where economic and social factors have significant impacts on property prices. Below is a detailed description of each feature:

    1. Date: The date when the property was sold. This feature helps in understanding the temporal trends in property prices.
    2. Price:The sale price of the property in USD. This is the target variable we aim to predict.
    3. Bedrooms:The number of bedrooms in the property. Generally, properties with more bedrooms tend to have higher prices.
    4. Bathrooms: The number of bathrooms in the property. Similar to bedrooms, more bathrooms can increase a property’s value.
    5. Sqft Living: The size of the living area in square feet. Larger living areas are typically associated with higher property values.
    6. Sqft Lot:The size of the lot in square feet. Larger lots may increase a property’s desirability and value.
    7. Floors: The number of floors in the property. Properties with multiple floors may offer more living space and appeal.
    8. Waterfront: A binary indicator (1 if the property has a waterfront view, 0 other- wise). Properties with waterfront views are often valued higher.
    9. View: An index from 0 to 4 indicating the quality of the property’s view. Better views are likely to enhance a property’s value.
    10. Condition: An index from 1 to 5 rating the condition of the property. Properties in better condition are typically worth more.
    11. Sqft Above: The square footage of the property above the basement. This can help isolate the value contribution of above-ground space.
    12. Sqft Basement: The square footage of the basement. Basements may add value depending on their usability.
    13. Yr Built: The year the property was built. Older properties may have historical value, while newer ones may offer modern amenities.
    14. Yr Renovated: The year the property was last renovated. Recent renovations can increase a property’s appeal and value.
    15. Street: The street address of the property. This feature can be used to analyze location-specific price trends.
    16. City: The city where the property is located. Different cities have distinct market dynamics.
    17. Statezip: The state and zip code of the property. This feature provides regional context for the property.
    18. Country: The country where the property is located. While this dataset focuses on properties in Australia, this feature is included for completeness.

    If you like this dataset, please contribute by upvoting

  13. T

    Germany House Price Index

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 23, 2023
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    TRADING ECONOMICS (2023). Germany House Price Index [Dataset]. https://tradingeconomics.com/germany/housing-index
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Feb 23, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Aug 31, 2005 - Oct 31, 2025
    Area covered
    Germany
    Description

    Housing Index in Germany increased to 220.43 points in October from 219.91 points in September of 2025. This dataset provides the latest reported value for - Germany House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. House price index in emerging and advanced economies worldwide 2008-2025, by...

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). House price index in emerging and advanced economies worldwide 2008-2025, by quarter [Dataset]. https://www.statista.com/statistics/1427342/house-price-index-emerging-and-advanced-economies-worldwide/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Global house prices experienced a significant shift in 2022, with advanced economies seeing a notable decline after a prolonged period of growth. The real house price index (adjusted for inflation) for advanced economies peaked at nearly *** index points in early 2022 before falling to around ***** points by the second quarter of 2023. In the second quarter of 2025, the index reached ***** points. This represents a reversal of the upward trend that had characterized the housing market for roughly a decade. Likewise, real house prices in emerging economies declined after reaching a high of ***** points in the third quarter of 2021. What is behind the slowdown? Inflation and slow economic growth have been the primary drivers for the cooling of the housing market. Secondly, the growing gap between incomes and house prices since 2012 has decreased the affordability of homeownership. Last but not least, homebuyers in 2024 faced dramatically higher mortgage interest rates, further contributing to worsening sentiment and declining transactions. Some markets continue to grow While many countries witnessed a deceleration in house price growth in 2022, some markets continued to see substantial increases. Turkey, in particular, stood out with a nominal increase in house prices of over ** percent in the first quarter of 2025. Other countries that recorded a two-digit growth include North Macedonia and Russia. When accounting for inflation, the three countries with the fastest growing residential prices in early 2025 were North Macedonia, Portugal, and Bulgaria.

  15. T

    Canada New Housing Price Index

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 15, 2025
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    TRADING ECONOMICS (2025). Canada New Housing Price Index [Dataset]. https://tradingeconomics.com/canada/housing-index
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Oct 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, 1981 - Oct 31, 2025
    Area covered
    Canada
    Description

    Housing Index in Canada decreased to 122.20 points in October from 122.70 points in September of 2025. This dataset provides - Canada New Housing Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. T

    Saudi Arabia Real Estate Price Index

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 9, 2025
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    TRADING ECONOMICS (2025). Saudi Arabia Real Estate Price Index [Dataset]. https://tradingeconomics.com/saudi-arabia/housing-index
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Sep 9, 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
    Mar 31, 2014 - Sep 30, 2025
    Area covered
    Saudi Arabia
    Description

    Housing Index in Saudi Arabia decreased to 103.90 points in the third quarter of 2025 from 105 points in the second quarter of 2025. This dataset provides - Saudi Arabia Housing Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  17. House Price Prediction Dataset & Code

    • kaggle.com
    zip
    Updated Sep 19, 2023
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    Tushar Paul (2023). House Price Prediction Dataset & Code [Dataset]. https://www.kaggle.com/datasets/tusharpaul2001/house-price-prediction/code
    Explore at:
    zip(275272 bytes)Available download formats
    Dataset updated
    Sep 19, 2023
    Authors
    Tushar Paul
    License

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

    Description

    House price prediction dataset

    This dataset comprises housing data for various metropolitan cities of India. It includes: - Collection of prices of new and resale houses - The amenities provided for each house

    This housing dataset is useful for a range of stakeholders, including real estate agents, property developers, buyers, renters, and researchers interested in analyzing housing markets and trends in metropolitan cities across India. It can be used for market analysis, price prediction, property recommendations, and various other real estate-related tasks.

    Shape of dataset : (6207, 40)

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F11965067%2F75861c40e86a4d2d10c044be79542436%2FCapture.JPG?generation=1704918894425981&alt=media" alt="">

    Github Link : https://github.com/TusharPaul01/House-Price-Prediction

    For more such dataset & code check : https://www.kaggle.com/tusharpaul2001

  18. c

    Data from: What’s Really Happening in Housing Markets?

    • clevelandfed.org
    Updated Jul 1, 2007
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    Federal Reserve Bank of Cleveland (2007). What’s Really Happening in Housing Markets? [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2007/ec-20070701-whats-really-going-on-in-housing-markets
    Explore at:
    Dataset updated
    Jul 1, 2007
    Dataset authored and provided by
    Federal Reserve Bank of Cleveland
    Description

    Most of the public concern about housing markets is based on claims that house prices have increased at historically anomalous rates and that house prices have outpaced incomes. The first claim is based on inaccurate historical data. The second is linked to relaxed credit constraints. House prices are likely to fall further, but not for the reasons usually proposed.

  19. F

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

    • fred.stlouisfed.org
    json
    Updated Nov 25, 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
    Nov 25, 2025
    License

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

    Area covered
    Hampton Roads, North Carolina, Newport News, Virginia
    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 Q3 2025 about Virginia Beach, VA, NC, appraisers, HPI, housing, price index, indexes, price, and USA.

  20. Annual change in house prices in the UK 2015-2025, by month

    • statista.com
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    Statista, Annual change in house prices in the UK 2015-2025, by month [Dataset]. https://www.statista.com/statistics/751619/house-price-change-uk/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Apr 2025
    Area covered
    United Kingdom
    Description

    House prices in the UK rose dramatically during the coronavirus pandemic, with growth slowing down in 2022 and turning negative in 2023. The year-on-year annual house price change peaked at 14 percent in July 2022. In April 2025, house prices increased by 3.5 percent. As of late 2024, the average house price was close to 290,000 British pounds. Correction in housing prices: a European phenomenon The trend of a growing residential real estate market was not exclusive to the UK during the pandemic. Likewise, many European countries experienced falling prices in 2023. When comparing residential property RHPI (price index in real terms, e.g. corrected for inflation), countries such as Germany, France, Italy, and Spain also saw prices decline. Sweden, one of the countries with the fastest growing residential markets, saw one of the largest declines in prices. How has demand for UK housing changed since the outbreak of the coronavirus? The easing of the lockdown was followed by a dramatic increase in home sales. In November 2020, the number of mortgage approvals reached an all-time high of over 107,000. One of the reasons for the housing boom were the low mortgage rates, allowing home buyers to take out a loan with an interest rate as low as 2.5 percent. That changed as the Bank of England started to raise the base lending rate, resulting in higher borrowing costs and a decline in homebuyer sentiment.

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TRADING ECONOMICS (2025). China Newly Built House Prices YoY Change [Dataset]. https://tradingeconomics.com/china/housing-index

China Newly Built House Prices YoY Change

China Newly Built House Prices YoY Change - Historical Dataset (2011-01-31/2025-10-31)

Explore at:
8 scholarly articles cite this dataset (View in Google Scholar)
xml, excel, csv, jsonAvailable download formats
Dataset updated
Nov 14, 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 - Oct 31, 2025
Area covered
China
Description

Housing Index in China remained unchanged at -2.20 percent in October. 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.

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