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Urban Property Valuation Dataset
Data Science and Analytics
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About
A collection of detailed housing data pertaining to various metropolitan cities across India. This dataset captures the prices of both new and resale properties, alongside an evaluation of the amenities provided for each house. It serves as a foundational resource for understanding regional housing dynamics and developing sophisticated predictive models of property valuation.
Columns
The dataset features 40 attributes, primarily focusing on property specifics and amenities. Key columns include:
- Price: The listing price of the house.
- Area: The total area of the property (in units such as square feet).
- Location: The specific geographic area or locality within the metropolitan city (e.g., Electronic City Phase 2, RR Nagar).
- No. of Bedrooms: The total number of bedrooms in the property.
- Resale: An indicator variable distinguishing between new and resale properties.
- Amenities: A multitude of amenity features, such as Gymnasium, SwimmingPool, LandscapedGardens, JoggingTrack, RainWaterHarvesting, ClubHouse, 24X7Security, PowerBackup, CarParking, and LiftAvailable, among others (40 total features).
Distribution
The current structure consists of 6,207 records and 40 features, forming a clean data foundation with no reported missing or mismatched values. The data is available in file formats typically used for analytical processing, such as CSV. Updates to this data product are anticipated on a quarterly basis.
Usage
This data product is ideally suited for applications requiring market analysis, price forecasting, and residential recommendations. Potential uses include:
- Developing and training machine learning algorithms for house price prediction in the Indian real estate sector.
- Performing detailed market trend analysis to inform investment decisions or project feasibility studies.
- Generating accurate property recommendations for prospective buyers or renters based on preferred location, size, and amenities.
Coverage
The data focuses exclusively on housing markets within major metropolitan cities of India. It encompasses characteristics related to physical structure (size, number of rooms) and residential conveniences, providing broad detail on the availability of common facilities and infrastructure features across these urban areas.
License
CC0: Public Domain
Who Can Use It
- Real Estate Agents: To accurately benchmark property values and advise clients on buying and selling prices.
- Property Developers: For researching demand drivers, amenity preferences, and optimal pricing strategies for new projects.
- Researchers: Studying urban economics, housing affordability, and the impact of amenities on property valuation.
- Data Scientists: Building analytical tools and models focused on geospatial and economic prediction.
Dataset Name Suggestions
- Indian Metropolitan Housing Data
- House Price Prediction India
- Urban Property Valuation Dataset
- Real Estate Amenities Data
Attributes
Original Data Source: Urban Property Valuation Dataset
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