100+ datasets found
  1. 🏑 Global Housing Market Analysis (2015-2024)

    • kaggle.com
    zip
    Updated Mar 18, 2025
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    Atharva Soundankar (2025). 🏑 Global Housing Market Analysis (2015-2024) [Dataset]. https://www.kaggle.com/datasets/atharvasoundankar/global-housing-market-analysis-2015-2024
    Explore at:
    zip(18363 bytes)Available download formats
    Dataset updated
    Mar 18, 2025
    Authors
    Atharva Soundankar
    License

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

    Description

    This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.

    πŸ“‘ Column Descriptions

    Column NameDescription
    CountryThe country where the housing market data is recorded 🌍
    YearThe year of observation πŸ“…
    Average House Price ($)The average price of houses in USD πŸ’°
    Median Rental Price ($)The median monthly rent for properties in USD 🏠
    Mortgage Interest Rate (%)The average mortgage interest rate percentage πŸ“‰
    Household Income ($)The average annual household income in USD 🏑
    Population Growth (%)The percentage increase in population over the year πŸ‘₯
    Urbanization Rate (%)Percentage of the population living in urban areas πŸ™οΈ
    Homeownership Rate (%)The percentage of people who own their homes πŸ”‘
    GDP Growth Rate (%)The annual GDP growth percentage πŸ“ˆ
    Unemployment Rate (%)The percentage of unemployed individuals in the labor force πŸ’Ό
  2. F

    Average Sales Price of Houses Sold for the United States

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

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

    Area covered
    United States
    Description

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

  3. Housing Prices Dataset

    • kaggle.com
    zip
    Updated Jan 12, 2022
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    M Yasser H (2022). Housing Prices Dataset [Dataset]. https://www.kaggle.com/datasets/yasserh/housing-prices-dataset
    Explore at:
    zip(4740 bytes)Available download formats
    Dataset updated
    Jan 12, 2022
    Authors
    M Yasser H
    License

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

    Description

    https://raw.githubusercontent.com/Masterx-AI/Project_Housing_Price_Prediction_/main/hs.jpg" alt="">

    Description:

    A simple yet challenging project, to predict the housing price based on certain factors like house area, bedrooms, furnished, nearness to mainroad, etc. The dataset is small yet, it's complexity arises due to the fact that it has strong multicollinearity. Can you overcome these obstacles & build a decent predictive model?

    Acknowledgement:

    Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102. Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.

    Objective:

    • Understand the Dataset & cleanup (if required).
    • Build Regression models to predict the sales w.r.t a single & multiple feature.
    • Also evaluate the models & compare thier respective scores like R2, RMSE, etc.
  4. U

    United States House Prices Growth

    • ceicdata.com
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    CEICdata.com, United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2022 - Sep 1, 2025
    Area covered
    United States
    Description

    Key information about House Prices Growth

    • US house prices grew 3.3% YoY in Sep 2025, following an increase of 4.1% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 1992 to Sep 2025, with an average growth rate of -12.4%.
    • 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.

  5. F

    Housing Inventory: Median Days on Market in the United States

    • fred.stlouisfed.org
    json
    Updated Oct 30, 2025
    + more versions
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    (2025). Housing Inventory: Median Days on Market in the United States [Dataset]. https://fred.stlouisfed.org/series/MEDDAYONMARUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 30, 2025
    License

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

    Area covered
    United States
    Description

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

  6. Nominal house price index in select countries in APAC region 2010-2025, by...

    • statista.com
    Updated Feb 3, 2025
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    Statista Research Department (2025). Nominal house price index in select countries in APAC region 2010-2025, by quarter [Dataset]. https://www.statista.com/topics/5466/global-housing-market/
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In 2025, India was the country with the highest increase in house prices since 2010 among the Asia-Pacific (APAC) countries under observation. In the second quarter of the year, the nominal house price index in India reached over 359 index points. This suggests an increase of 259 percent since 2010, the baseline year when the index value was set to 100. It is important to note that the nominal index does not account for the effects of inflation, meaning when adjusted for inflation, price growth in real terms was slower.

  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. c

    Redfin usa properties dataset

    • crawlfeeds.com
    csv, zip
    Updated Jun 13, 2025
    + more versions
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    Crawl Feeds (2025). Redfin usa properties dataset [Dataset]. https://crawlfeeds.com/datasets/redfin-usa-properties-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Explore the Redfin USA Properties Dataset, available in CSV format. This extensive dataset provides valuable insights into the U.S. real estate market, including detailed property listings, prices, property types, and more across various states and cities. Perfect for those looking to conduct in-depth market analysis, real estate investment research, or financial forecasting.

    Key Features:

    • Comprehensive Property Data: Includes essential details such as listing prices, property types, square footage, and the number of bedrooms and bathrooms.
    • Geographic Coverage: Encompasses a wide range of U.S. states and cities, providing a broad view of the national real estate market.
    • Historical Trends: Analyze past market data to understand price movements, regional differences, and market trends over time.
    • Geo-Location Details: Enables spatial analysis and mapping by including precise geographical coordinates of properties.

    Who Can Benefit From This Dataset:

    • Real Estate Investors: Identify lucrative opportunities by analyzing property values, market trends, and regional price variations.
    • Market Analysts: Gain a deeper understanding of the U.S. housing market dynamics to inform research and reporting.
    • Data Scientists and Researchers: Leverage detailed real estate data for modeling, urban studies, or economic analysis.
    • Financial Analysts: Utilize the dataset for financial modeling, helping to predict market behavior and assess investment risks.

    Download the Redfin USA Properties Dataset to access essential information on the U.S. housing market, ideal for professionals in real estate, finance, and data analytics. Unlock key insights to make informed decisions in a dynamic market environment.

    Looking for deeper insights or a custom data pull from Redfin?
    Send a request with just one click and explore detailed property listings, price trends, and housing data.
    πŸ”— Request Redfin Real Estate Data

  9. Redfin Monthly Housing Market Data

    • kaggle.com
    zip
    Updated May 7, 2025
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    Rosendo Lugo (2025). Redfin Monthly Housing Market Data [Dataset]. https://www.kaggle.com/datasets/rosendolugo/redfin-monthly-housing-market-data
    Explore at:
    zip(56056 bytes)Available download formats
    Dataset updated
    May 7, 2025
    Authors
    Rosendo Lugo
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Data Source: Redfin (https://www.redfin.com/news/data-center) Data provided by Redfin, a national real estate brokerage. Used for academic purposes only. Please cite Redfin on first reference as: β€œAccording to Redfin, a national real estate brokerage, the U.S. housing market shows clear seasonal patterns and regional differences in pricing trends, which can be analyzed using their publicly available monthly housing data.”

  10. Average house price in the UK 2010-2025, by month

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Average house price in the UK 2010-2025, by month [Dataset]. https://www.statista.com/statistics/751605/average-house-price-in-the-uk/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2010 - Jun 2025
    Area covered
    United Kingdom
    Description

    In 2022, house price growth in the UK slowed, after a period of decade-long increase. Nevertheless, in June 2025, prices reached a new peak, with the average home costing ******* British pounds. This figure refers to all property types, including detached, semi-detached, terraced houses, and flats and maisonettes. Compared to other European countries, the UK had some of the highest house prices. How have UK house prices increased over the last 10 years? Property prices have risen dramatically over the past decade. According to the UK house price index, the average house price has grown by over ** percent since 2015. This price development has led to the gap between the cost of buying and renting a property to close. In 2023, buying a three-bedroom house in the UK was no longer more affordable than renting one. Consequently, Brits have become more likely to rent longer and push off making a house purchase until they have saved up enough for a down payment and achieved the financial stability required to make the step. What caused the recent fluctuations in house prices? House prices are affected by multiple factors, such as mortgage rates, supply, and demand on the market. For nearly a decade, the UK experienced uninterrupted house price growth as a result of strong demand and a chronic undersupply. Homebuyers who purchased a property at the peak of the housing boom in July 2022 paid ** percent more compared to what they would have paid a year before. Additionally, 2022 saw the most dramatic increase in mortgage rates in recent history. Between December 2021 and December 2022, the **-year fixed mortgage rate doubled, adding further strain to prospective homebuyers. As a result, the market cooled, leading to a correction in pricing.

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

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Forecast house price growth in the UK 2025-2029 [Dataset]. https://www.statista.com/statistics/376079/uk-house-prices-forecast/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

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

  12. c

    Housing data from Homes dot com

    • crawlfeeds.com
    csv, zip
    Updated Sep 21, 2024
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    Crawl Feeds (2024). Housing data from Homes dot com [Dataset]. https://crawlfeeds.com/datasets/housing-data-from-homes-dot-com
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Sep 21, 2024
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    The Housing Data Extracted from Homes.com (USA) dataset is a comprehensive collection of 2 million real estate listings sourced from Homes.com, one of the leading real estate platforms in the United States. This dataset offers detailed insights into the U.S. housing market, making it an invaluable resource for real estate professionals, investors, researchers, and analysts.

    The dataset contains extensive property details, including location, price, property type (single-family homes, condos, apartments), number of bedrooms and bathrooms, square footage, lot size, year built, and availability status. Organized in CSV format, it provides users with easy access to structured data for analyzing trends, developing investment strategies, or building real estate applications.

    Key Features:

    • Record Count: 2 million housing listings from across the USA.
    • Data Fields: Property address, price, property type, bedrooms, bathrooms, square footage, lot size, year built, and availability.
    • Format: CSV format for easy integration with data analysis platforms, machine learning models, and real estate tools.
    • Source: Directly sourced from Homes.com’s USA real estate listings.
    • Geographical Focus: Comprehensive coverage of properties across all regions of the United States.

    Use Cases:

    • Real Estate Market Research: Analyze property prices, market trends, and housing demand in various U.S. regions.
    • Investment Analysis: Use data to identify high-potential properties and regions for real estate investments.
    • Property Comparison: Compare listings by price, location, and features to evaluate market conditions across different cities and states.
    • Machine Learning Models: Build predictive models for price forecasting, property valuation, and real estate recommendation systems.
    • Content Creation: Create real estate-related content, reports, and insights for the U.S. housing market using up-to-date data.

  13. 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.

  14. Existing own homes; average purchase prices, region

    • data.overheid.nl
    • cbs.nl
    • +1more
    atom, json
    Updated Feb 17, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (Rijk) (2025). Existing own homes; average purchase prices, region [Dataset]. https://data.overheid.nl/dataset/4146-existing-own-homes--average-purchase-prices--region
    Explore at:
    json(KB), atom(KB)Available download formats
    Dataset updated
    Feb 17, 2025
    Dataset provided by
    Statistics Netherlands
    License

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

    Description

    This table shows the average purchase price that has been paid in the reporting period for existing own homes purchased by a private individual. The average purchase price of existing own homes may differ from the price index of existing own homes. The average purchase price is no indicator for price developments of owner-occupied residential property. The average purchase price reflects the average price of dwellings sold in a particular period. The fact that de dwellings sold differs from one period to another is not taken into account. The following instance explains which problems are entailed by the continually changing of the quality of the dwellings sold. Suppose in February of a particular year mainly big houses with extensive gardens beautifully situated alongside canals are sold, whereas in March many small terraced houses are sold. In that case the average purchase price in February will be higher than in March but this does not mean that house prices are increased. See note 3 for a link to the article 'Why the average purchase price is not an indicator'.

    Data available from: 1995

    Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The average purchasing prices of existing owner-occupied sold homes can be calculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

    Changes as of 17 February 2025: Added average purchase prices of the municipalities for the year 2024.

    When will new figures be published? New figures are published approximately one to three months after the period under review.

  15. Median house prices for administrative geographies: HPSSA dataset 9

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Sep 20, 2023
    + more versions
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    Office for National Statistics (2023). Median house prices for administrative geographies: HPSSA dataset 9 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/medianhousepricefornationalandsubnationalgeographiesquarterlyrollingyearhpssadataset09
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Sep 20, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Median price paid for residential property in England and Wales, by property type and administrative geographies. Annual data.

  16. 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.

  17. T

    United States House Price Index YoY

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 16, 2025
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    TRADING ECONOMICS (2025). United States House Price Index YoY [Dataset]. https://tradingeconomics.com/united-states/house-price-index-yoy
    Explore at:
    json, excel, xml, 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, 1992 - Sep 30, 2025
    Area covered
    United States
    Description

    House Price Index YoY in the United States decreased to 1.70 percent in September from 2.40 percent in August of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

  18. 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.

  19. F

    Real Residential Property Prices for United States

    • fred.stlouisfed.org
    json
    Updated Oct 30, 2025
    + more versions
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    (2025). Real Residential Property Prices for United States [Dataset]. https://fred.stlouisfed.org/series/QUSR628BIS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 30, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q2 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

  20. 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.

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Atharva Soundankar (2025). 🏑 Global Housing Market Analysis (2015-2024) [Dataset]. https://www.kaggle.com/datasets/atharvasoundankar/global-housing-market-analysis-2015-2024
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🏑 Global Housing Market Analysis (2015-2024)

Understanding Housing Market Trends Across Countries

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zip(18363 bytes)Available download formats
Dataset updated
Mar 18, 2025
Authors
Atharva Soundankar
License

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

Description

This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.

πŸ“‘ Column Descriptions

Column NameDescription
CountryThe country where the housing market data is recorded 🌍
YearThe year of observation πŸ“…
Average House Price ($)The average price of houses in USD πŸ’°
Median Rental Price ($)The median monthly rent for properties in USD 🏠
Mortgage Interest Rate (%)The average mortgage interest rate percentage πŸ“‰
Household Income ($)The average annual household income in USD 🏑
Population Growth (%)The percentage increase in population over the year πŸ‘₯
Urbanization Rate (%)Percentage of the population living in urban areas πŸ™οΈ
Homeownership Rate (%)The percentage of people who own their homes πŸ”‘
GDP Growth Rate (%)The annual GDP growth percentage πŸ“ˆ
Unemployment Rate (%)The percentage of unemployed individuals in the labor force πŸ’Ό
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