100+ datasets found
  1. T

    United States Existing Home Sales

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

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

    Time period covered
    Jan 31, 1968 - May 31, 2025
    Area covered
    United States
    Description

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

  2. Housing demand in the U.S. as measured in pending home sales 2001-2024, per...

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Housing demand in the U.S. as measured in pending home sales 2001-2024, per month [Dataset]. https://www.statista.com/statistics/1237470/pending-home-sales-index-usa/
    Explore at:
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2001 - Mar 2024
    Area covered
    United States
    Description

    The number of pending home sales in the U.S. declined dramatically in the fourth quarter of 2021. In March 2024, the pending home sales index stood at 78.2 index points, just 8.2 index points above its lowest value recorded in April 2020 when the COVID-19 pandemic struck. The slowdown in buying activity was triggered by the aggressive mortgage interest rates hikes in response to the rising inflation. As it takes around four to eight weeks to finalize a home sale in the United States, the Pending Home Sales Index (PHSI) index is seen as a measure of consumer sentiment on buying a house and essentially provides an early outlook on what the actual sales of existing homes in the country might potentially look like.

  3. T

    United States New Home Sales

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Apr 23, 2025
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    TRADING ECONOMICS (2025). United States New Home Sales [Dataset]. https://tradingeconomics.com/united-states/new-home-sales
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Apr 23, 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, 1963 - May 31, 2025
    Area covered
    United States
    Description

    New Home Sales in the United States decreased to 623 Thousand units in May from 722 Thousand units in April of 2025. This dataset provides the latest reported value for - United States New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  4. Real Estate Sales 730 Days

    • kaggle.com
    Updated Dec 7, 2022
    + more versions
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    The Devastator (2022). Real Estate Sales 730 Days [Dataset]. https://www.kaggle.com/datasets/thedevastator/analyzing-hartford-real-estate-sales-over-730-da/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    The Devastator
    License

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

    Description

    Real Estate Sales 730 Days

    City of Hartford real estate sales for the past 2 years

    By [source]

    About this dataset

    This dataset contains data on City of Hartford real estate sales for the last two years, with comprehensive records including property ID, parcel ID, sale date, sale price and more. This dataset is continuously updated each night and sourced from an official reliable source. The columns in this dataset include LocationStartNumber, ApartmentUnitNumber, StreetNameAndWay, LandSF TotalFinishedArea, LivingUnits ,OwnerLastName OwnerFirstName ,PrimaryGrantor ,SaleDate SalePrice ,TotalAppraisedValue and LegalReference - all valuable information to anyone wishing to understand the recent market trends and developments in the City of Hartford real estate industry. With this data providing detailed insights into what properties are selling at what time frame and for how much money – let’s see what secrets we can learn from examining the City of Hartford real estate activity!

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    This dataset contains helpful information about homes sold in the Hartford area over the past two years. This data can be used to analyze trends in real estate markets, as well as monitor sales activity for various areas.

    In order to use this dataset, you will need knowledge of EDA (Exploratory Data Analysis) such as data cleaning and data visualization techniques. You will also need a basic understanding of SQL queries and Python scripting language.

    The first step is to familiarize yourself with the columns and information contained within the dataset by analyzing descriptive statistics like mean, min, max etc. Next you can filter or “slice” the data based on certain criteria or variables that interest you - such as sale date range, location (by street name or zip code), sale price range, type of dwelling unit etc. After using various filters for analysis it is important to take an error-check step by looking for outliers or any discrepancies that may exist - this will ensure more accuracy in results when plotting graphs and visualizing trends via software tools like Tableau and Power BI etc.

    Next you can conduct exploratory analysis through plot visualizations of relationships between buyer characteristics (first & last name) vs prices over time; living units vs square footage stats; average price per bedroom/bathroom ratio comparisons etc – all while taking into account external factors such as seasonal changeovers that could affect pricing fluctuations during given intervals across multiple neighborhoods - use interactive maps if available ets. At this point it's easy to compile insightful reports containing commonalities amongst buyers and begin generalizing your findings with extrapolations which allow us gain a better understanding of current market conditions across different demographic spectrums being compared ie traditional Vs luxury properties – all made possible simply through dedicated research with datasets like these!

    Research Ideas

    • Analyzing market trends in the City of Hartford's real estate industry by tracking sale prices and appraised values over time to identify regions who are being under or over valued.
    • Conducting a predictive analysis project to predict future sales prices, annual appreciation rates, and key features associated with residential properties such as total finished area and living units for investment purposes.
    • Studying the impact of local zoning laws on property ownership and development by comparing sale dates, primary grantors, legal references, street names and ways in a given area over time

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

    Columns

    File: real-estate-sales-730-days-1.csv | Column name | Description | |:------------------------|:---------------------------------------------------------------| | LocationStartNumber | The starting number of the location of the property. (Integer) | | ApartmentUnitNumber | The apartment unit number of the property. (Integer) | | StreetNameAndWay | The st...

  5. Number of existing homes sold in the U.S. 1995-2024, with a forecast until...

    • statista.com
    • ai-chatbox.pro
    Updated Apr 28, 2025
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    Statista (2025). Number of existing homes sold in the U.S. 1995-2024, with a forecast until 2026 [Dataset]. https://www.statista.com/statistics/226144/us-existing-home-sales/
    Explore at:
    Dataset updated
    Apr 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of U.S. home sales in the United States declined in 2024, after soaring in 2021. A total of four million transactions of existing homes, including single-family, condo, and co-ops, were completed in 2024, down from 6.12 million in 2021. According to the forecast, the housing market is forecast to head for recovery in 2025, despite transaction volumes expected to remain below the long-term average. Why have home sales declined? The housing boom during the coronavirus pandemic has demonstrated that being a homeowner is still an integral part of the American dream. Nevertheless, sentiment declined in the second half of 2022 and Americans across all generations agreed that the time was not right to buy a home. A combination of factors has led to house prices rocketing and making homeownership unaffordable for the average buyer. A survey among owners and renters found that the high home prices and unfavorable economic conditions were the two main barriers to making a home purchase. People who would like to purchase their own home need to save up a deposit, have a good credit score, and a steady and sufficient income to be approved for a mortgage. In 2022, mortgage rates experienced the most aggressive increase in history, making the total cost of homeownership substantially higher. Are U.S. home prices expected to fall? The median sales price of existing homes stood at 413,000 U.S. dollars in 2024 and was forecast to increase slightly until 2026. The development of the S&P/Case Shiller U.S. National Home Price Index shows that home prices experienced seven consecutive months of decline between June 2022 and January 2023, but this trend reversed in the following months. Despite mild fluctuations throughout the year, home prices in many metros are forecast to continue to grow, albeit at a much slower rate.

  6. 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
    United States, Global
    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.

  7. T

    Australia Private New Home Sales

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). Australia Private New Home Sales [Dataset]. https://tradingeconomics.com/australia/new-home-sales
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Dec 15, 2024
    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
    Jul 31, 1996 - May 31, 2025
    Area covered
    Australia
    Description

    New Home Sales in Australia increased to 4583 Units in May from 4287 Units in April of 2025. This dataset provides the latest reported value for - Australia New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. F

    Housing Inventory: Median Days on Market in the United States

    • fred.stlouisfed.org
    json
    Updated Jun 5, 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
    Jun 5, 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 May 2025 about median and USA.

  9. Real Estate Market Analysis APAC, North America, Europe, South America,...

    • technavio.com
    Updated Feb 24, 2025
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    Technavio (2025). Real Estate Market Analysis APAC, North America, Europe, South America, Middle East and Africa - US, China, Japan, India, South Korea, Australia, Canada, UK, Germany, Brazil - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/real-estate-market-analysis
    Explore at:
    Dataset updated
    Feb 24, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States, Canada
    Description

    Snapshot img

    Real Estate Market Size 2025-2029

    The real estate market size is forecast to increase by USD 1,258.6 billion at a CAGR of 5.6% between 2024 and 2029.

    The market is experiencing significant shifts and innovations, with both residential and commercial sectors adapting to new trends and challenges. In the commercial realm, e-commerce growth is driving the demand for logistics and distribution centers, while virtual reality technology is revolutionizing property viewings. Europe's commercial real estate sector is witnessing a rise in smart city development, incorporating LED lighting and data centers to enhance sustainability and efficiency. In the residential sector, wellness real estate is gaining popularity, focusing on health and well-being. Real estate software and advertising services are essential tools for asset management, streamlining operations, and reaching potential buyers. Regulatory uncertainty remains a challenge, but innovation in construction technologies, such as generators and renewable energy solutions, is helping mitigate risks.
    

    What will be the Size of the Real Estate Market During the Forecast Period?

    Request Free Sample

    The market continues to exhibit strong activity, driven by rising population growth and increasing demand for personal household space. Both residential and commercial sectors have experienced a rebound in home sales and leasing activity. The trend towards live-streaming rooms and remote work has further fueled demand for housing and commercial real estate. Economic conditions and local market dynamics influence the direction of the market, with interest rates playing a significant role in investment decisions. Fully furnished, semi-furnished, and unfurnished properties, as well as rental properties, remain popular options for buyers and tenants. Offline transactions continue to dominate, but online transactions are gaining traction.
    The market encompasses a diverse range of assets, including land, improvements, buildings, fixtures, roads, structures, utility systems, and undeveloped property. Vacant land and undeveloped property present opportunities for investors, while the construction and development of new housing and commercial projects contribute to the market's overall growth.
    

    How is this Real Estate Industry segmented and which is the largest segment?

    The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Residential
      Commercial
      Industrial
    
    
    Business Segment
    
      Rental
      Sales
    
    
    Manufacturing Type
    
      New construction
      Renovation and redevelopment
      Land development
    
    
    Geography
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
    
    
      South America
    
        Brazil
    
    
      Middle East and Africa
    

    By Type Insights

    The residential segment is estimated to witness significant growth during the forecast period.
    

    The market encompasses the buying and selling of properties designed for dwelling purposes, including buildings, single-family homes, apartments, townhouses, and more. Factors fueling growth in this sector include the increasing homeownership rate among millennials and urbanization trends. The Asia Pacific region, specifically China, dominates the market due to escalating homeownership rates. In India, the demand for affordable housing is a major driver, with initiatives like Pradhan Mantri Awas Yojana (PMAY) spurring the development of affordable housing projects catering to the needs of lower and middle-income groups. The commercial real estate segment, consisting of office buildings, shopping malls, hotels, and other commercial properties, is also experiencing growth.

    Furthermore, economic and local market conditions, interest rates, and investment opportunities in fully furnished, semi-furnished, unfurnished properties, and rental properties influence the market dynamics. Technological integration, infrastructure development, and construction projects further shape the real estate landscape. Key sectors like transportation, logistics, agriculture, and the e-commerce sector also impact the market.

    Get a glance at the market report of share of various segments Request Free Sample

    The Residential segment was valued at USD 1440.30 billion in 2019 and showed a gradual increase during the forecast period.

    Regional Analysis

    APAC is estimated to contribute 64% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions, Request Free Sample

    The Asia Pacific region holds the largest share of The market, dr

  10. F

    Housing Inventory: Active Listing Count in the United States

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in the United States [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOUUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 5, 2025
    License

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

    Area covered
    United States
    Description

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

  11. T

    United States Pending Home Sales YoY

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 26, 2021
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    TRADING ECONOMICS (2021). United States Pending Home Sales YoY [Dataset]. https://tradingeconomics.com/united-states/pending-home-sales
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Oct 26, 2021
    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, 2002 - May 31, 2025
    Area covered
    United States
    Description

    Pending Home Sales in the United States increased 1.10 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Pending Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  12. d

    Real Estate Data | Property Listing, Sold Properties, Rankings, Agent...

    • datarade.ai
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    Grepsr, Real Estate Data | Property Listing, Sold Properties, Rankings, Agent Datasets | Global Coverage | For Competitive Property Pricing and Investment [Dataset]. https://datarade.ai/data-products/real-estate-property-data-grepsr-grepsr
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    Grepsr
    Area covered
    South Sudan, Tonga, Australia, Kazakhstan, Congo (Democratic Republic of the), Iraq, Malaysia, Holy See, Spain, Kuwait
    Description

    Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.

    A. Usecase/Applications possible with the data:

    1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data

    2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.

    3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.

    4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.

    5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

    6. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.

    7. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.

    How does it work?

    • Analyze sample data
    • Customize parameters to suit your needs
    • Add to your projects
    • Contact support for further customization
  13. House sales in Nova Scotia, Canada 2018-2023, with a forecast by 2025

    • statista.com
    Updated Jan 31, 2024
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    Statista (2024). House sales in Nova Scotia, Canada 2018-2023, with a forecast by 2025 [Dataset]. https://www.statista.com/statistics/588526/house-sales-nova-scotia/
    Explore at:
    Dataset updated
    Jan 31, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The number of home sales in Nova Scotia, Canada, surged in 2021, followed by a decrease in the following two years. In 2023, about 10,333 home sales took place in Nova Scotia and this figure is expected to reach 12,420 in 2025. A similar trend could be observed on a national scale, with transaction activity in Canada set to increase by 2025. In terms of home prices, Nova Scotia ranked below the national average, but housing was still significantly more expensive than provinces such as New Brunswick and Newfoundland.

  14. Volume of residential real estate sold in New York City 2019-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jan 28, 2025
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    Statista (2025). Volume of residential real estate sold in New York City 2019-2023 [Dataset]. https://www.statista.com/statistics/1235642/number-of-housing-units-sales-new-york-city/
    Explore at:
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2019 - Jun 2023
    Area covered
    New York
    Description

    Residential property transactions in New York City plummeted in June 2023, reaching 633 - the lowest figure registered during the period under observation. Just a year ago, the number of residential transactions amounted to 4,375. New York was hit hard by the COVID-19 pandemic in 2020, resulting in house price volatility and slowing sales activity.

  15. House Sales in Ontario

    • kaggle.com
    Updated Oct 7, 2016
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    Mahdy Nabaee (2016). House Sales in Ontario [Dataset]. https://www.kaggle.com/mnabaee/ontarioproperties/activity
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 7, 2016
    Dataset provided by
    Kaggle
    Authors
    Mahdy Nabaee
    License

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

    Area covered
    Ontario
    Description

    This dataset includes the listing prices for the sale of properties (mostly houses) in Ontario. They are obtained for a short period of time in July 2016 and include the following fields: - Price in dollars - Address of the property - Latitude and Longitude of the address obtained by using Google Geocoding service - Area Name of the property obtained by using Google Geocoding service

    This dataset will provide a good starting point for analyzing the inflated housing market in Canada although it does not include time related information. Initially, it is intended to draw an enhanced interactive heatmap of the house prices for different neighborhoods (areas)

    However, if there is enough interest, there will be more information added as newer versions to this dataset. Some of those information will include more details on the property as well as time related information on the price (changes).

    This is a somehow related articles about the real estate prices in Ontario: http://www.canadianbusiness.com/blogs-and-comment/check-out-this-heat-map-of-toronto-real-estate-prices/

    I am also inspired by this dataset which was provided for King County https://www.kaggle.com/harlfoxem/housesalesprediction

  16. T

    Canada Home Sales

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +7more
    csv, excel, json, xml
    Updated Feb 22, 2025
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    TRADING ECONOMICS (2025). Canada Home Sales [Dataset]. https://tradingeconomics.com/canada/home-sales
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2007 - May 31, 2025
    Area covered
    Canada
    Description

    Home Sales in Canada increased to 37626 units in May from 36328 units in April of 2025. This dataset includes a chart with historical data for Canada Home Sales.

  17. d

    Property Listings Data | USA Coverage | 74% Right Party Contact Rate |...

    • datarade.ai
    Updated Aug 14, 2024
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    BatchService (2024). Property Listings Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/batchservice-u-s-property-listings-data-real-estate-mark-batchservice
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Aug 14, 2024
    Dataset authored and provided by
    BatchService
    Area covered
    United States of America
    Description

    BatchData's property listings data provides comprehensive insights with over 140 data points and nationwide listing data inclusive of For Sale By Owner (FSBO) listings across the United States. Updated daily in most markets, the data includes:

    • Listing Details: property listings descriptions, property characteristics, pricing, days on market, and more.
    • Agent Information: agent names, license numbers, contact details, listing counts, and listing histories.
    • Broker Information: Broker names, locations, URLs, emails, phone numbers, and licensing information.
    • Additional Details: Information about schools, neighborhoods, subdivisions, and tax data.

    Common Use Cases: - Recruiting Teams: Enhance talent acquisition by analyzing agents' listing counts, close rates, property types, and client profiles. - Proptech Software & Marketplaces: Integrate current and historical listings to create detailed property profiles, advanced search features, and robust analytics. - Home Service Providers: Target marketing and outreach efforts to homeowners, whether they are preparing to move or have recently relocated. - Real Estate Agents & Investors: Identify undervalued properties, connect with buyers/sellers based on activity, analyze market trends, and develop effective marketing strategies.

    Our property listings data can be delivered in a variety of formats to suit your needs. Choose from API integration for seamless, real-time data access, bulk data delivery for extensive datasets, S3 bucket storage for scalable cloud solutions, and more. This flexibility ensures that you can incorporate our comprehensive property information into your systems efficiently and effectively, whether you're building a new platform, enhancing existing tools, or conducting in-depth analyses.

  18. b

    Q1 2025 Housing Market Investor Data

    • investorpulse1h25.batchdata.io
    Updated Jun 24, 2025
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    (2025). Q1 2025 Housing Market Investor Data [Dataset]. https://investorpulse1h25.batchdata.io/
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    Dataset updated
    Jun 24, 2025
    Variables measured
    Investor Market Share, Total Homes Purchased
    Description

    Housing market data showing investor activity, market share percentages, and regional analysis

  19. F

    Existing Home Sales: Housing Inventory

    • fred.stlouisfed.org
    json
    Updated Jun 23, 2025
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    (2025). Existing Home Sales: Housing Inventory [Dataset]. https://fred.stlouisfed.org/series/HOSINVUSM495N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 23, 2025
    License

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

    Description

    Graph and download economic data for Existing Home Sales: Housing Inventory (HOSINVUSM495N) from May 2024 to May 2025 about inventories, sales, housing, and USA.

  20. Number of housing transactions in the UK 2015-2024, by country

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Number of housing transactions in the UK 2015-2024, by country [Dataset]. https://www.statista.com/statistics/759585/number-of-residential-property-transactions-in-the-uk-by-country/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2016 - Sep 2024
    Area covered
    United Kingdom
    Description

    England accounts for the majority of sales in the residential real estate market in the United Kingdom. In September 2024, the total number of housing transactions in the country amounted to nearly 92,000, with approximately 80,000 of these property sales being completed in England. Historically, sales activity has observed notable fluctuations because of the seasonal nature of the market, but also other trends in the market, such as the slump in April 2020 related to the COVID-19 pandemic A declining number of home sales The annual number of home sales in the UK has declined since 2021, with 2023 exhibiting the lowest transaction volume since 2012. The main reason for that trend is the increase in the cost of housing. House prices grew year-on-year between 2012 and 2022, with growth accelerating toward the end of the period due to the record-low mortgage rates. As the cost of living crisis hit in 2022, the Bank of England hiked interest rates, resulting in dramatically higher home finance costs. With house prices at their peak and a double increase in borrowing costs, many prospective homebuyers could not afford to buy and placed their plans on hold. How will prices develop in the next five years? After a slight decline in 2024, house prices in the UK are expected to pick up in the next year and continue on an upward trend until 2028. On average, house prices are projected to grow by 2.7 percent per year.

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TRADING ECONOMICS (2025). United States Existing Home Sales [Dataset]. https://tradingeconomics.com/united-states/existing-home-sales

United States Existing Home Sales

United States Existing Home Sales - Historical Dataset (1968-01-31/2025-05-31)

Explore at:
10 scholarly articles cite this dataset (View in Google Scholar)
csv, json, xml, excelAvailable download formats
Dataset updated
May 22, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Jan 31, 1968 - May 31, 2025
Area covered
United States
Description

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

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