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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.

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.

Dataset

This dataset was created by Mohammad Al-Azawi

Contents

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.

Real estate sales case transaction information, including the location of the subject property (de-identified), area, total price, and other information. (Tucheng District)

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 Canada (QCAR628BIS) from Q1 1970 to Q2 2025 about Canada, residential, HPI, housing, real, price index, indexes, and price.

Real estate sales transactions real price registration information, including the location of the subject (de-identified), area, total price, and other information. (Xizhi District)

1. Real estate presale case real price registration information, including subject location, area, total price, etc. 2. This dataset is updated every 10 days. (Jinshan District)

Graph and download economic data for Residential Property Prices for Israel (QILN368BIS) from Q1 1995 to Q2 2025 about Israel, residential, housing, 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.

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.

In 2025, the average land price in Japan amounted to ******* Japanese yen per square meter. The average land price is based on land price surveys conducted by the Ministry of Land, Infrastructure, Transport, and Tourism and prefectural governments in January and July each year. Japan’s geography The Japanese archipelago consists of the five main islands of Honshu, Hokkaido, Kyushu, Shikoku, and Okinawa in addition to thousands of smaller islands. Together, they cover a surface area of around ******* square kilometers. ************** of the country’s land area is covered by mountains. Forestland and farmland constitute about ** percent of its landmass, while developed land accounts for **** percent. The population of *** million is concentrated in major cities like Tokyo, which is home to over **** million inhabitants. Urban-rural divide and land prices Owing to an overconcentration of economic activity in Tokyo and other major cities like Osaka and Nagoya, more than half of the population is located in ***** metropolitan areas. Tokyo and its surrounding prefectures that comprise the Tokyo metropolitan area attract many people from other parts of the country each year, often young individuals seeking jobs or starting university. In contrast, rural regions are confronted with depopulation and economic stagnation. Japan’s urban-rural divide is also reflected in land prices. Tokyo has by far the most expensive land prices. In terms of land price growth, the cities of Sapporo, Sendai, Hiroshima, and Fukuoka have outpaced the Greater Tokyo Area in the past decade.

Dataset

This dataset was created by kkaranismm

Contents

France New Houses Sold: Average Sales Price: Region: Center-Val de Loire data was reported at 218.536 EUR th in Mar 2018. This records an increase from the previous number of 194.742 EUR th for Dec 2017. France New Houses Sold: Average Sales Price: Region: Center-Val de Loire data is updated quarterly, averaging 192.745 EUR th from Dec 2001 (Median) to Mar 2018, with 66 observations. The data reached an all-time high of 222.940 EUR th in Sep 2017 and a record low of 136.700 EUR th in Mar 2003. France New Houses Sold: Average Sales Price: Region: Center-Val de Loire data remains active status in CEIC and is reported by Ministry of Ecology, Sustainable Development and Energy. The data is categorized under Global Database’s France – Table FR.P004: New Houses: Sales Price.

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 }

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.

To promote transparency in real estate transactions and to establish a user-friendly online search platform, the New Taipei City Government's Land Administration Bureau has opened the announcement of land current value data to the public. Please make use of the downloads.

France New Houses Sold: Average Sales Price: 4 Rooms data was reported at 257.773 EUR th in Sep 2018. This records an increase from the previous number of 253.243 EUR th for Jun 2018. France New Houses Sold: Average Sales Price: 4 Rooms data is updated quarterly, averaging 234.251 EUR th from Dec 2003 (Median) to Sep 2018, with 60 observations. The data reached an all-time high of 257.773 EUR th in Sep 2018 and a record low of 177.100 EUR th in Dec 2003. France New Houses Sold: Average Sales Price: 4 Rooms data remains active status in CEIC and is reported by Ministry of Ecology, Sustainable Development and Energy. The data is categorized under Global Database’s France – Table FR.P004: New Houses: Sales Price.

Residential Property Prices in Luxembourg increased 4.56 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for Luxembourg Residential Property Prices.