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Global Real Estate Analytics Dataset
Data Science and Analytics
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Free
About
A valuable collection of real estate information sourced from REALTING.com, an international platform facilitating property transactions worldwide. This data offers insights into various properties across the globe, making it a useful resource for real estate market analysis, property valuation, and trend prediction. It provides a view of the international real estate market, creating opportunities for data-driven decision-making.
Columns
- Title: A brief description or name of the property listing.
- Country: The country where the property is located.
- Location: The specific address or location of the property.
- Building Construction Year: The year the building was constructed.
- Building Total Floors: The total number of floors in the building.
- Apartment Floor: The floor on which the apartment is situated.
- Apartment Rooms: The total number of rooms in the apartment.
- Apartment Bedrooms: The number of bedrooms in the apartment.
- Apartment Bathrooms: The number of bathrooms in the apartment.
- Apartment Total Area: The total area of the apartment in square metres.
- Apartment Living Area: The living area of the apartment in square metres.
- Price in USD: The price of the property in United States Dollars.
- Image: Links to images associated with the property listing.
- URL: Web links to the full property listing for more information.
Distribution
The dataset is provided in a single CSV file named
world_real_estate_data(147k).csv, with a file size of 42.54 MB. The data is structured with 14 columns and contains approximately 147,000 records.Usage
Ideal applications for this dataset include real estate market research, property comparison and valuation, geographical analysis, and trend prediction. It is well-suited for various analytical tasks that require detailed property attributes on a global scale.
Coverage
The dataset has a global scope, with property listings from 27 unique countries. The data covers a wide range of property types and construction years. There is significant variation in data completeness across columns; for example,
apartment_living_area has missing values for 81% of records, while price_in_USD is missing for only 2% of records. The data is not expected to be updated.License
CC0: Public Domain
Who Can Use It
- Data Analysts: For performing market research and identifying investment opportunities.
- Real Estate Investors: To compare properties and assess valuations across different countries.
- Urban Planners: For geographical analysis of housing stock and development trends.
- Data Scientists: To build predictive models for property pricing and market fluctuations.
Dataset Name Suggestions
- Global Property Listings Data
- International Real Estate Market Insights
- Worldwide Property Attributes & Prices
- Global Real Estate Analytics Dataset
- REALTING.com International Property Data
Attributes
Original Data Source: Global Real Estate Analytics Dataset
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