This data set is a listing of all property sales by NORA through the following disposition channels. - Auction: Properties put up for auction and sold to the highest bidder. - Development: Properties offered to development partners at a discounted rate to support the development of affordable housing. - Lot Next Door: Properties sold to adjacent parcel owners, with discount opportunities for eligible participants. - Alternative Land Use: Properties sold for development of green space and community gardens. Note: this dataset contains duplicate addresses, which likely represent reversions or quitclaims that NORA sold again.

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.

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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.

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.

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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.

Graph and download economic data for Producer Price Index by Commodity: Real Estate Services (Partial): Nonresidential Property Sales and Leases Including Land, Brokerage Fees and Commissions (WPU4312) from Dec 2008 to Sep 2025 about land, brokers, fees, leases, nonresidential, real estate, sales, services, commodities, PPI, inflation, price index, indexes, price, and USA.

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 }

1. Real estate transaction information includes location, area, total price, etc. 2. This dataset is updated every 10 days.

Graph and download economic data for Real Residential Property Prices for Russian Federation (QRUR628BIS) from Q1 2001 to Q2 2025 about Russia, residential, HPI, housing, real, price index, indexes, and price.

Graph and download economic data for Real Residential Property Prices for Euro area (QXMR628BIS) from Q1 1975 to Q2 2025 about Euro Area, Europe, residential, HPI, housing, real, price index, indexes, and price.

Residential Property Prices in Denmark increased 7.31 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for Denmark Residential Property Prices.

Graph and download economic data for Real Residential Property Prices for Canada (QCAR628BIS) from Q1 1970 to Q2 2025 about Canada, residential, HPI, housing, real, price index, indexes, and price.

Graph and download economic data for Residential Property Prices for Hungary (QHUN628BIS) from Q1 1990 to Q2 2025 about Hungary, residential, HPI, housing, price index, indexes, and price.

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.

Annual house price inflation, simple and mix-adjusted average house prices, by dwelling, type of buyer, number of transactions, mortgage advances, distribution of borrowers' ages/incomes, interest rates, land prices, average valuations, Land Registry data

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.

The price of new residential properties in Brazil continued to increase in 2023, albeit at a lower rate compared to the previous three years. Property prices exhibited the highest percentage increase in 2021, at ***** percent, more than twice the increase recorded in 2023.

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.

This dataset provides a comprehensive record of property listing price changes over time, including detailed property attributes, location information, and event types for each price change. It enables in-depth analysis of real estate market dynamics, pricing strategies, and property value trends across regions and property types.

Real residential property prices Y-on-Y, percent change in Chile, March, 2025 The most recent value is 2.83 percent as of Q1 2025, a decline compared to the previous value of 3.05 percent. Historically, the average for Chile from Q1 2003 to Q1 2025 is 4.56 percent. The minimum of -7.09 percent was recorded in Q4 2022, while the maximum of 11.95 percent was reached in Q3 2014. | TheGlobalEconomy.com