Residential property values by type of property for Canada, provinces and territories, annual data from 2005 to today.

Key information about House Prices Growth

• US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
• 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.

Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q2 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

Inspired by the quintessential House Prices Starter Competition and the popular Melbourne Housing Dataset, this dataset captures 4K+ condominium unit listings on the Malaysian housing website mudah.my.

Like the above datasets, your job is to predict the house prices given certain parameters.

The data was scraped directly from the website using this data collection notebook. I might adapt the code to include houses as well in the future, but scraping the data takes a while due to having to wait for the website to load and having to timeout to account for CloudFlare's protections.

Note: This data is a lot less clean and organized than the data in the two datasets mentioned above. However, this is a good opportunity to practice data cleaning techniques, as this is something that is often overlooked on Kaggle. That being said, I made a starter notebook that goes through the data cleaning steps and outputs a fairly cleaned version of the dataset.

Data Description

• description: The full (unfiltered) description for the unit listing.
• Ad List: The ID of the listing on the website.
• Category: The category of the listing. It will most likely be Apartment / Condominium.
• Facilities: The facilities that the apartment has, in a comma-separated list.
• Building Name: The name of the building.
• Developer: The developer for the building.
• Tenure Type: The type of tenure for the building.
• Address: The address of the building. You can refer to this link for a description of what Malaysian addresses look like.
• Completion Year: The completion year of the building. If the building is still under construction, this is listed as -.
• # of Floors: The number of floors in the building.
• Total Units: The total number of units in the building.
• Property Type: The type of property.
• Bedroom: The number of bedrooms in the unit.
• Bathroom: The number of bathrooms in the unit.
• Parking Lot: The number of parking lots assigned to the unit, if any.
• Floor Range: The floor range for the building.
• Property Size: The size of the unit.
• Land Title: The title given to the land. This link explains what land titles are.
• Firm Type: The type of firm who posted the listing.
• Firm Number: The ID of the firm who posted the listing.
• REN Number: The REN number of the firm who posted the listing. Refer to this link for what REN numbers are.
• price: The price of the unit. This is what you are trying to predict.
• Nearby School/School: If there is a nearby school to the unit, which school it is.
• Park: If there is a nearby park to the unit, which park it is.
• Nearby Railway Station: If there is a nearby railway station to the unit, which railway station it is.
• Bus Stop: If there is a nearby bus stop to the unit, which station it is.
• Nearby Mall/Mall: If there is a nearby mall to the unit, which mall it is.
• Highway: If there is a nearby highway to the unit, which highway it is.

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

Summary of UK House Price Index (HPI) price statistics covering England, Scotland, Wales and Northern Ireland. Full UK HPI data are available on GOV.UK.

Property Price: YTD Avg: Beijing data was reported at 28,360.916 RMB/sq m in Mar 2025. This records a decrease from the previous number of 36,835.882 RMB/sq m for Feb 2025. Property Price: YTD Avg: Beijing data is updated monthly, averaging 19,466.029 RMB/sq m from Jan 2003 (Median) to Mar 2025, with 267 observations. The data reached an all-time high of 42,343.603 RMB/sq m in Jun 2021 and a record low of 4,515.769 RMB/sq m in Feb 2004. Property Price: YTD Avg: Beijing data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Price – Table CN.PD: NBS: Property Price: Monthly.

Housing Index in Ireland increased to 199.40 points in August from 197.50 points in July of 2025. This dataset provides the latest reported value for - Ireland Residential Property Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Housing Index in Hong Kong decreased to 141.09 points in October 19 from 141.92 points in the previous week. This dataset provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Residential Property Price Index annual weights are presented in terms of the relative importance of the sales values of each Census Metropolitan Area (CMA), building type and construction type. The relative importance is calculated by dividing the weight of each of the six CMAs by the sum of the weights of those six CMAs. The weights correspond to a three-year average of the value of sales of residential properties. Annual weights are available from 2017.

The house price data are collected from the official website of China's National Bureau of Statistics . We acquired the month-on-month growth data of house prices since January 2006, then compiled the house price index based on January 2006 as 100. The Shanghai Stock Exchange Index (SSEI) data which are treated as stock market prices are derived from the CSMAR database. After that, we calculate the monthly house price and stock price return as , where are proxied by the monthly house price index and SSEI, and represent the returns series. 157 observations from January 2006 to March 2019 are obtained.

Quarterly house price data based on a sub-sample of the Regulated Mortgage Survey.

Graph and download economic data for All-Transactions House Price Index for California (CASTHPI) from Q1 1975 to Q2 2025 about appraisers, CA, HPI, housing, price index, indexes, price, and USA.

You can access free bulk NSW land value information from July 2017 onwards.

A zip file is published on a monthly basis containing a data file for each Local Government Area. These files contain property data and land values going back up to five valuing years for all current properties at the time of file creation.

Data files are delivered in comma-separated values (CSV) file format. They can be imported into most spreadsheet and database programs.

Bulk land value information is available under open access licensing as part of the NSW Government Open Data Policy and is subject to the Creative Commons Attribution 4.0 Licence.

Valuation Services, a division of Property NSW, manages the valuation system on behalf of the Valuer General.

Key information about House Prices Growth

• Indonesia house prices grew 1.4% YoY in Dec 2024, following an increase of 1.5% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2003 to Dec 2024, with an average growth rate of 3.1%.
• House price data reached an all-time high of 13.5% in Sep 2013 and a record low of 1.0% in Jun 2021.

CEIC calculates House Prices Growth from quarterly Residential Property Price Index. Bank Indonesia provides Residential Property Price Index with base 2018=100. House Prices Growth covers 18 major cities. House Prices Growth prior to Q1 2019 is calculated from House Price Index with base 2002=100. House Prices Growth prior to Q1 2013 covers 14 major cities.

These National Statistics provide monthly estimates of the number of residential and non-residential property transactions in the UK and its constituent countries. National Statistics are accredited official statistics.

England and Northern Ireland statistics are based on information submitted to the HM Revenue and Customs (HMRC) Stamp Duty Land Tax (SDLT) database by taxpayers on SDLT returns.

Land and Buildings Transaction Tax (LBTT) replaced SDLT in Scotland from 1 April 2015 and this data is provided to HMRC by https://www.revenue.scot/">Revenue Scotland to continue the time series.

Land Transaction Tax (LTT) replaced SDLT in Wales from 1 April 2018. To continue the time series, the https://gov.wales/welsh-revenue-authority">Welsh Revenue Authority (WRA) have provided HMRC with a monthly data feed of LTT transactions since July 2021.

LTT figures for the latest month are estimated using a grossing factor based on data for the most recent and complete financial year. Until June 2021, LTT transactions for the latest month were estimated by HMRC based upon year on year growth in line with other UK nations.

LTT transactions up to the penultimate month are aligned with LTT statistics.

Go to Stamp Duty Land Tax guidance for the latest rates and information.

Go to Stamp Duty Land Tax rates from 1 December 2003 to 22 September 2022 and Stamp Duty: rates on land transfers before December 2003 for historic rates.

The latest release was published 09:30 30 September 2025 and was updated with provisional data from completed transactions during August 2025.

The next release will be published 09:30 31 October 2025 and will be updated with provisional data from completed transactions during September 2025.

https://webarchive.nationalarchives.gov.uk/ukgwa/20240320184933/https://www.gov.uk/government/statistics/monthly-property-transactions-completed-in-the-uk-with-value-40000-or-above">Archive versions of the Monthly property transactions completed in the UK with value of £40,000 or above are available via the UK Government Web Archive, from the National Archives.

Graph and download economic data for All-Transactions House Price Index for North Carolina (NCSTHPI) from Q1 1975 to Q2 2025 about NC, appraisers, HPI, housing, price index, indexes, price, and USA.

Graph and download economic data for Commercial Real Estate Prices for United States (COMREPUSQ159N) from Q1 2005 to Q1 2025 about real estate, commercial, rate, and USA.