100+ datasets found
  1. 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.
  2. 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.

  3. House Prices in Malaysia (2025)

    • kaggle.com
    zip
    Updated Jan 3, 2025
    + more versions
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    Jien Weng (2025). House Prices in Malaysia (2025) [Dataset]. https://www.kaggle.com/datasets/lyhatt/house-prices-in-malaysia-2025
    Explore at:
    zip(39697 bytes)Available download formats
    Dataset updated
    Jan 3, 2025
    Authors
    Jien Weng
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Malaysia
    Description

    This dataset contains 2,000 entries of house price data from all states in Malaysia, providing a comprehensive overview of the country’s real estate market for 2025. Sourced from Brickz, a trusted platform for property transaction insights, it includes detailed information such as property location, tenure, type, median prices, and transaction counts. This dataset is ideal for real estate market analysis, predictive modeling, and exploring trends across Malaysia’s diverse property market.

    https://encrypted-tbn1.gstatic.com/licensed-image?q=tbn:ANd9GcR8ttDRWTx7dIxuUegBTsggS4a6tQrnNA6DEW_HJu2DphQNsverV0PYsSkdbSdqm4qRaRuBOh4Txbv11yXMxIKWqh-_WAkeTuQI8Diu-Q" alt="Kuala Lumpur, Malaysia">

    Data Columns (Total 8 Columns):

    1. Township: The specific township where the property is located (e.g., Cheras, Subang Jaya).
    2. Area: The locality or broader area encompassing the township (e.g., Klang Valley, Penang Island).
    3. State: The Malaysian state where the property is situated (e.g., Selangor, Johor, Penang).
    4. Tenure: The property ownership type (e.g., Freehold, Leasehold).
    5. Type: The category of property (e.g., Terrace, Condominium, Semi-Detached).
    6. Median_Price: The median price (in MYR) for properties in the specified township or area.
    7. Median_PSF: The median price per square foot (in MYR) for properties.
    8. Transactions: The number of recorded property transactions.

    Future Plans:

    • Expanded Coverage: This dataset will be regularly updated with additional property data to make it even more versatile.
    • Enhanced Features: Future updates may include rental prices, amenities, or property-specific details to offer deeper insights into Malaysia’s housing market.
  4. F

    All-Transactions House Price Index for the United States

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
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    (2025). All-Transactions House Price Index for the United States [Dataset]. https://fred.stlouisfed.org/series/USSTHPI
    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
    United States
    Description

    Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q3 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

  5. Number of house sales in the UK 2005-2025, by month

    • statista.com
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    Statista, Number of house sales in the UK 2005-2025, by month [Dataset]. https://www.statista.com/statistics/290623/uk-housing-market-monthly-sales-volumes/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2005 - Apr 2025
    Area covered
    United Kingdom
    Description

    During the COVID-19 pandemic, the number of house sales in the UK spiked, followed by a period of decline. In 2023 and 2024, the housing market slowed notably, and in January 2025, transaction volumes fell to 46,774. House sales volumes are impacted by a number of factors, including mortgage rates, house prices, supply, demand, as well as the overall health of the market. The economic uncertainty and rising unemployment rates has also affected the homebuyer sentiment of Brits. How have UK house prices developed over the past 10 years? House prices in the UK have increased year-on-year since 2015, except for a brief period of decline in the second half of 2023 and the beginning of 2024. That is based on the 12-month percentage change of the UK house price index. At the peak of the housing boom in 2022, prices soared by nearly 14 percent. The decline that followed was mild, at under three percent. The cooling in the market was more pronounced in England and Wales, where the average house price declined in 2023. Conversely, growth in Scotland and Northern Ireland continued. What is the impact of mortgage rates on house sales? For a long period, mortgage rates were at record-low, allowing prospective homebuyers to take out a 10-year loan at a mortgage rate of less than three percent. In the last quarter of 2021, this period came to an end as the Bank of England rose the bank lending rate to contain the spike in inflation. Naturally, the higher borrowing costs affected consumer sentiment, urging many homebuyers to place their plans on hold and leading to a decline in sales.

  6. C

    Allegheny County Property Sale Transactions

    • data.wprdc.org
    • s.cnmilf.com
    • +3more
    csv, html
    Updated Dec 2, 2025
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    Allegheny County (2025). Allegheny County Property Sale Transactions [Dataset]. https://data.wprdc.org/dataset/real-estate-sales
    Explore at:
    csv, htmlAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    Allegheny County
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Allegheny County
    Description

    This dataset contains data on all Real Property parcels that have sold since 2013 in Allegheny County, PA.

    Before doing any market analysis on property sales, check the sales validation codes. Many property "sales" are not considered a valid representation of the true market value of the property. For example, when multiple lots are together on one deed with one price they are generally coded as invalid ("H") because the sale price for each parcel ID number indicates the total price paid for a group of parcels, not just for one parcel. See the Sales Validation Codes Dictionary for a complete explanation of valid and invalid sale codes.

    Sales Transactions Disclaimer: Sales information is provided from the Allegheny County Department of Administrative Services, Real Estate Division. Content and validation codes are subject to change. Please review the Data Dictionary for details on included fields before each use. Property owners are not required by law to record a deed at the time of sale. Consequently the assessment system may not contain a complete sales history for every property and every sale. You may do a deed search at http://www.alleghenycounty.us/re/index.aspx directly for the most updated information. Note: Ordinance 3478-07 prohibits public access to search assessment records by owner name. It was signed by the Chief Executive in 2007.

  7. T

    Canada Average House Prices

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Canada Average House Prices [Dataset]. https://tradingeconomics.com/canada/average-house-prices
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2005 - Oct 31, 2025
    Area covered
    Canada
    Description

    Average House Prices in Canada increased to 688800 CAD in October from 687600 CAD in September of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

  8. J

    Japan House Prices Growth

    • ceicdata.com
    Updated Mar 15, 2019
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    CEICdata.com (2019). Japan House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/japan/house-prices-growth
    Explore at:
    Dataset updated
    Mar 15, 2019
    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
    Sep 1, 2024 - Aug 1, 2025
    Area covered
    Japan
    Description

    Key information about House Prices Growth

    • Japan house prices grew 3.4% YoY in Aug 2025, following an increase of 4.7% YoY in the previous month.
    • YoY growth data is updated monthly, available from Apr 2009 to Aug 2025, with an average growth rate of 1.3%.
    • House price data reached an all-time high of 10.2% in Apr 2022 and a record low of -9.4% in Apr 2009.

    CEIC calculates House Prices Growth from monthly Residential Property Price Index. The Ministry of Land, Infrastructure, Transport and Tourism provides Residential Property Price Index with base 2010=100.

  9. Redfin Housing Market Data 2012-2021

    • kaggle.com
    zip
    Updated Feb 18, 2022
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    Thuy Le (2022). Redfin Housing Market Data 2012-2021 [Dataset]. https://www.kaggle.com/thuynyle/redfin-housing-market-data
    Explore at:
    zip(2973378786 bytes)Available download formats
    Dataset updated
    Feb 18, 2022
    Authors
    Thuy Le
    Description

    Overview

    This residential real estate data set was created by Redfin, an online real estate brokerage. Published on January 9th, 2022, this data summarize the monthly housing market for every State, Metro, and Zip code in the US from 2012 to 2021. Redfin aggregated this data across multiple listing services and has been gracious enough to include property type in their reporting. Please properly cite and link to RedFin if you end up using this data for your research or project.

    Source: RedFin Data Center

    Property Type

    Property type defined by RedFin

    • All Residential: All properties defined as single-family, condominium, co-operative, townhouses, and multi-family (2-4 units) homes with a county record.
    • Single Family Home (SFH): are homes built on a single lot, with no shared walls. Sometimes there’s a garage, attached or detached.
    • Condominium (Condo): Usually a single unit within a larger building or community. Generally come with homeowners’ associations (HOAs), which require the residents to pay monthly or yearly dues.
    • Cooperatives (Co-op): Usually a single unit within a larger building or community, but with a different way of holding a title to a shared building. You join a community and everyone in the community owns the building together.
    • Townhouse: a hybrid between a condo and a single-family home. They are often multiple floors, with one or two shared walls, and some have a small yard space or rooftop deck. They’re generally larger than a condo, but smaller than a single-family home.
    • Multifamily (2-4 units): They are essentially a home that has been turned into two or more units but the units cannot be purchased individually. There is one owner for the whole building.
    • Land: Just land, no home of any type for sale.

    Source: Building Types

    Property Type

    For more definitions, please visit RedFin Data Center Metrics

    • Average sale to list: The mean ratio of each home's sale price divided by their list price covering all homes with a sale date during a given time period. Excludes properties with a sale price of 50%.
    • Home sales: Total number of homes with a sale date during a given time period.
    • Inventory: Total number of active listings on the last day of a given time period.
    • Median active list ppsf: The median list price per square foot of all active listings.
    • Median active list price: The median list price of all active listings.
    • Median active listings: The median of how many listings were active on each day within a given time period.
    • Median days on market: The number of days between the date the home was listed for sale and when the home went off-market/pending sale covering all homes with an off-market date during a given time period where 50% of the off-market homes sat longer on the market and 50% went off the market faster. Excludes homes that sat on the market for more than 1 year.
    • Median days to close: The median number of days a home takes to go from pending to sold.
    • Median list price: The most recent listing price covering all homes with a listing date during a given time period where 50% of the active listings were above this price and 50% were below this price.
    • Median list price per square foot: The most recent listing price divided by the total square feet of the property (not the lot) covering all homes with a listing date during a given time period where 50% of the active listings were above this price per sqft and 50% were below this price per sqft.
    • Median listing with price drops: The median of how many listings were active on each day and whose current list price is less than the original list price within a given time period.
    • Median sale price: The final home sale price covering all homes with a sale date during a given time period where 50% of the sales were above this price and 50% were below this price.
    • Median sale price per square foot: The final home sale price divided by the total square feet of the property (not the lot) covering all homes with a sale date during a given time period where 50% of the sales were above this price per sqft and 50% were below this price per sqft.
    • Months of supply: When data are monthly, it is inventory divided by home sales. This tells you how long it would take supply to be bought up if no new homes came on the market.
    • New listings: Total number of homes with a listing added date during a given time period.
    • Off market in two weeks: The total number of homes that went under contract within two weeks of their listing date.
    • Pending home sales: Total homes that went under contract during the period. Excludes homes that were on the market longer than 90 ...
  10. T

    Taiwan House Prices Growth

    • ceicdata.com
    Updated Jun 15, 2018
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    CEICdata.com (2018). Taiwan House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/taiwan/house-prices-growth
    Explore at:
    Dataset updated
    Jun 15, 2018
    Dataset provided by
    CEICdata.com
    License

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

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

    Key information about House Prices Growth

    • Taiwan house prices grew 0.1% YoY in Sep 2025, following a decrease of 0.1% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 2002 to Sep 2025, with an average growth rate of 15.1%.
    • House price data reached an all-time high of 20.9% in Mar 2010 and a record low of -6.0% in Mar 2016.

    CEIC calculates quarterly House Prices Growth from quarterly Residential Property Price Index. Sinyi Realty Incorporation provides Residential Property Price Index with base March 2016=100.

  11. M

    Morocco House Prices Growth

    • ceicdata.com
    Updated Nov 15, 2025
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    CEICdata.com (2025). Morocco House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/morocco/house-prices-growth
    Explore at:
    Dataset updated
    Nov 15, 2025
    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
    Morocco
    Variables measured
    Consumer Prices
    Description

    Key information about House Prices Growth

    • Morocco house prices grew 1.2% YoY in Sep 2025, following remained the same 0.0% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 2007 to Sep 2025, with an average growth rate of -0.9%.
    • House price data reached an all-time high of 7.6% in Mar 2017 and a record low of -6.0% in Dec 2021.

    Property Price Index is calculated following the repeat-sales method which takes into consideration only properties sold at least twice during the period under review.

  12. a

    Comparable Sales for properties in the United States

    • attomdata.com
    attom cloud +1
    Updated Apr 3, 2021
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    ATTOM Data Solutions (2021). Comparable Sales for properties in the United States [Dataset]. https://www.attomdata.com/data/property-valuation-data/comparable-sales/
    Explore at:
    attom cloud, property navigatorAvailable download formats
    Dataset updated
    Apr 3, 2021
    Dataset authored and provided by
    ATTOM Data Solutions
    Description

    Provides a selection of recently sold homes that have similar characteristics, location, age, etc. to a subject property. Used for determining the value of a property in relation to similar properties that have recently sold in the same area.

  13. Monthly house price index and y-o-y percentage change in Northern Ireland...

    • statista.com
    Updated Jul 15, 2025
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    Statista (2025). Monthly house price index and y-o-y percentage change in Northern Ireland 2015-2025 [Dataset]. https://www.statista.com/statistics/620408/monthly-house-price-index-in-northern-ireland-uk/
    Explore at:
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - May 2025
    Area covered
    Ireland, United Kingdom, Northern Ireland
    Description

    The average house price in Northern Ireland has increased since 2015, with minor fluctuations over time. The house price index is calculated using data on housing transactions and measures the development of house prices, with 2023 chosen as a base year when the index value was set to 100. In May 2025, the house price index reached 113.9, meaning that house prices have grown by nearly 14 percent since January 2023 and 9.5 percent since the same month a year ago. Among the different regions in the UK, the West and East Midlands experienced the strongest growth.

  14. C

    Canada House Prices Growth

    • ceicdata.com
    Updated Nov 15, 2025
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    CEICdata.com (2025). Canada House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/canada/house-prices-growth
    Explore at:
    Dataset updated
    Nov 15, 2025
    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
    Nov 1, 2024 - Oct 1, 2025
    Area covered
    Canada
    Description

    Key information about House Prices Growth

    • Canada house prices dropped 1.8% YoY in Oct 2025, following a decrease of 1.8% YoY in the previous month.
    • YoY growth data is updated monthly, available from Jan 1982 to Oct 2025, with an average growth rate of 5.1%.
    • House price data reached an all-time high of 16.5% in Mar 1989 and a record low of -9.7% in Apr 1991.

    CEIC calculates House Prices Growth from monthly House Price Index. Statistics Canada provides House Price Index with base December 2016=100. House Price Index covers New Housing only.

  15. Sale-to-list price ratio of housing sales in the U.S. 2012-2022

    • statista.com
    Updated Feb 8, 2023
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    Statista (2023). Sale-to-list price ratio of housing sales in the U.S. 2012-2022 [Dataset]. https://www.statista.com/statistics/1242369/home-sale-to-list-price-ratio-usa/
    Explore at:
    Dataset updated
    Feb 8, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2012 - Dec 2022
    Area covered
    United States
    Description

    The average home in the U.S. sold for several percent below its asking price in December 2022, as a result of the housing market slowing. Just a few months before that, In the second quarter of 2022, the so-called sale-to-list price ratio went above ***. This reflected the high housing demand and the need of prospective home buyers to bid above the asking price. Housing demand - as measured in pending home sales - went up, as mortgage rates were historically low and plummeted once rates were increased.

  16. T

    Thailand House Prices Growth

    • ceicdata.com
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    CEICdata.com, Thailand House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/thailand/house-prices-growth
    Explore at:
    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
    Oct 1, 2020 - Sep 1, 2021
    Area covered
    Thailand
    Variables measured
    Consumer Prices
    Description

    Key information about House Prices Growth

    • Thailand house prices grew 8.5% YoY in Sep 2021, following an increase of 4.9% YoY in the previous month.
    • YoY growth data is updated monthly, available from Mar 2009 to Sep 2021, with an average growth rate of 7.1%.
    • House price data reached an all-time high of 20.2% in Dec 2009 and a record low of -6.1% in Dec 2020.

    The Bank of Thailand calculates House Price Growth from Condominium Price Index with base 2009=100. House Prices Growth covers Bangkok and Vicinities only.

  17. C

    Cyprus House Prices Growth

    • ceicdata.com
    Updated Nov 15, 2025
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    CEICdata.com (2025). Cyprus House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/cyprus/house-prices-growth
    Explore at:
    Dataset updated
    Nov 15, 2025
    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
    Sep 1, 2022 - Jun 1, 2025
    Area covered
    Cyprus
    Description

    Key information about House Prices Growth

    • Cyprus house prices grew 4.7% YoY in Jun 2025, following an increase of 4.8% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 2007 to Jun 2025, with an average growth rate of 2.8%.
    • House price data reached an all-time high of 19.0% in May 2023 and a record low of 0.7% in Jul 1974.

    CEIC calculates quarterly House Prices Growth from quarterly Residential Property Price Index. Central Bank of Cyprus provides Residential Property Price Index with base Q1 2010=100.

  18. b

    Median Price of Homes Sold - City

    • data.baltimorecity.gov
    • vital-signs-bniajfi.hub.arcgis.com
    • +1more
    Updated Mar 24, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Median Price of Homes Sold - City [Dataset]. https://data.baltimorecity.gov/datasets/bniajfi::median-price-of-homes-sold-city
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    Dataset updated
    Mar 24, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The median home sales price is the middle value of the prices for which homes are sold (both market and private transactions) within a calendar year. The median value is used as opposed to the average so that both extremely high and extremely low prices do not distort the prices for which homes are sold. This measure does not take into account the assessed value of a property. Source: First American Real Estate Solutions (FARES) and RBIntel Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2022, 2023

  19. Price of new property by quarter

    • data.gov.ie
    • cloud.csiss.gmu.edu
    • +4more
    Updated Oct 13, 2016
    + more versions
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    data.gov.ie (2016). Price of new property by quarter [Dataset]. https://data.gov.ie/dataset/price-of-new-property-by-quarter
    Explore at:
    Dataset updated
    Oct 13, 2016
    Dataset provided by
    data.gov.ie
    License

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

    Description

    Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. National and Other Areas figure changed for 2015Q4 on 27/6/15 as revised data received from Local Authorities (includes houses and apartments measured in €) .hidden { display: none }

  20. t

    House Price Index | India | 2013 - 2025 | Data, Charts and Analysis

    • themirrority.com
    Updated Jun 15, 2025
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    (2025). House Price Index | India | 2013 - 2025 | Data, Charts and Analysis [Dataset]. https://www.themirrority.com/data/house_price_index
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    Dataset updated
    Jun 15, 2025
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2013 - Mar 31, 2025
    Area covered
    India
    Variables measured
    House Price Index
    Description

    India's residential house prices - quarterly and annual changes in house prices across cities, expert analysis and comparison with global peers.

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Click to copy link
Link copied
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M Yasser H (2022). Housing Prices Dataset [Dataset]. https://www.kaggle.com/datasets/yasserh/housing-prices-dataset
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Housing Prices Dataset

Housing Prices Prediction - Regression Problem

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13 scholarly articles cite this dataset (View in Google Scholar)
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.
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