This dataset contains 500 entries of housing price data from various countries, regions, and cities worldwide, making it ideal for machine learning models and real estate market analysis. The dataset covers diverse geographic locations, including:

North America: USA, Canada, Mexico
Europe: Germany, France, UK, Italy, Spain
Asia: Japan, China, India, South Korea
Other Regions: Australia, Brazil, South Africa

Columns Included:

Country: The country where the house is located (e.g., USA, Japan, India).
State/Region: The state or region within the country (e.g., California, Bavaria).
City: The city where the property is located (e.g., Los Angeles, Tokyo).
Square Footage (SqFt): The size of the house in square feet (ranging from 500 to 5000 sq ft).
Bedrooms: The number of bedrooms in the house (ranging from 1 to 6).
Population Density: The population density of the area (people per sq km).
Price of House: The price of the house (in local currency, converted to USD where applicable).

This dataset can be used for:

Machine Learning Models: Training and evaluating models for house price prediction.
Market Analysis: Analyzing housing trends across different regions and countries.
Visualization: Creating insightful visualizations to understand price distributions and regional variations.

This dataset provides a balanced mix of geographic diversity and housing features for robust predictive modeling and analysis.

Gain access to comprehensive real estate data from all major real estate property listing sites in the USA, Canada, UK, and other countries with our expert real estate scraping service. Unlock valuable insights from Zillow, Realtor.com, Trulia, Redfin, and more.

The dataset titled "Wellbeing Toronto - Housing" falls under the domain of Housing and is tagged with keywords such as Affordable, Affordable Housing, Housing, Housing Potential, Price, and Shelter. It is available in the format of a spreadsheet and was published on 30th April 2015. The data spans from 1st January 2008 to 31st December 2012 and covers the geographical area of Toronto. The dataset is open for access and its use is governed by the City of Toronto's Open Government Licence. The dataset is owned by the City of Toronto and any queries regarding access can be directed to opendata@toronto.ca. The dataset was published by Social Development, Finance & Administration and the author is Wellbeing Toronto. The dataset was last accessed on 30th October 2023 and is available in English. It contains a persistent identifier but does not have a globally unique identifier. The dataset does not contain data about individuals or identifiable individuals. The version of the dataset is dated 29th October 2023 and the last data refresh was on 30th April 2015. The dataset is updated annually and covers the city region. It contains 11 rows, 282 columns, and 3100 data cells. The dataset is owned by the City of Toronto Open Data organization. The dataset contains three worksheets with detailed descriptions available in the first worksheet called "IndicatorMetaData". The data is sourced from various organizations including Toronto Community Housing Corporation, City of Toronto's Shelter, Support and Housing Administration, City of Toronto Affordable Housing Office, and Statistics Canada. The dataset is licensed under the UK Open Government Licence (OGL). The metadata was created on 31st October 2023 and last modified on 8th April 2025.

Forecast: Housing Starts in Canada 2022 - 2026 Discover more data with ReportLinker!

Forecast: Housing Under Construction in Canada 2022 - 2026 Discover more data with ReportLinker!

Patent data is aggregated across multiple Intellectual Property (IP) registries, including USPTO, CIPO, EUIPO and WIPO (USA, Canada, Europe). Our complete dataset of active patent records is updated weekly. Customized reports available based on company lists, or full dataset via raw feed or one-off reports. Full bibliographic data provided for each IP record; including filing date, grant date, expiry date, inventor(s), IPC, full text abstract, title, etc. Ownership/entity relationship mapping, ticker mapping, ISIN mapping, Crunchbase uuid mapping, Crunchbase domain mapping. We also provide our proprietary IP Activity Score for each owner, which can assist to compare recent innovation activity amongst owners, as reflected in their Intellectual Property filings.

Ipqwery's Patent data is also available as a combined dataset with our Trademark dataset, enabling full IP profiles for corporate entities.

Forecast: Real Estate Output in Canada 2022 - 2026 Discover more data with ReportLinker!

Forecast: Real Estate Gross Value Added in Canada 2023 - 2027 Discover more data with ReportLinker!

Forecast: Real Estate Gross Value Added in Canada 2022 - 2026 Discover more data with ReportLinker!

Forecast: Number of Employees in Real Estate in Canada 2024 - 2028 Discover more data with ReportLinker!

Forecast: Real Estate Contribution to Gross Value Added Growth in Canada 2023 - 2027 Discover more data with ReportLinker!

Real Estate Industry Email List

Connect with top decision-makers like real estate agents, brokers across the US, UK, Canada, and worldwide markets with our Real Estate Industry Email List. Our carefully designed database helps your marketing staff to contact important professionals in the fields of commercial, residential, and industrial real estate. We help lower bounce rates and boost conversions with 100% data accuracy and 98% deliverabilit

Forecast: Total Hours Worked in Real Estate in Canada 2024 - 2028 Discover more data with ReportLinker!

Materials prepared for ministers for an appearance.