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Major Indian Cities Property Market Listings
Stock & Market Data
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About
This collection provides housing real estate data sourced from various Indian cities. It was generated through web scraping a real estate website, gathering vital details on both resale and new properties. The initial objective of this data compilation was for cleaning and standardisation. It offers a detailed view of the property market across major metropolitan areas, including Chennai, Mumbai, Bangalore, Delhi, Pune, Kolkata, and Hyderabad.
Columns
The dataset contains nine columns detailing property attributes:
- Name: The official name of the property.
- Property Title: The advertisement title used for the property listing.
- Price: The selling price of the property, typically expressed in Lacs up to Crores (Indian currency units).
- Location: Details regarding the property's specific locality and regional placement.
- Total Area: The total square footage (SQFT) of the property, which can range significantly up to 35,000 SQFT.
- Price Per SQFT: The calculated price per square foot of the property area.
- Description: A brief paragraph detailing the specifics of the property listing.
- Baths: The number of bathrooms available in the unit, typically ranging between one and six.
- Balcony: A boolean indicator showing whether the property includes a balcony.
Distribution
The structure contains roughly 14,500 valid records or rows of property data. The data file, labelled Real Estate Data V21.csv, is approximately 10.9 MB in size. The expected update frequency for this dataset is quarterly, ensuring ongoing relevance.
Usage
Ideal applications for this data include various analytical and modelling tasks. It is excellent for deep dives into Indian real estate market trends and serves as a foundational resource for data cleaning exercises. Users can leverage the pricing and location fields for predictive modelling, aiming to estimate property valuations, and for detailed geographic market segmentation.
Coverage
The data covers major metropolitan areas in India, specifically addressing property listings in Chennai, Mumbai, Bangalore, Delhi, Pune, Kolkata, and Hyderabad. The time scope is ongoing, with an expected quarterly update schedule to maintain currency.
License
CC0: Public Domain
Who Can Use It
- Real Estate Analysts: For tracking price fluctuations and regional market performance across India’s urban centres.
- Data Scientists and Machine Learning Engineers: For developing valuation models, regression analysis, and feature engineering tasks related to housing characteristics.
- Property Developers: For conducting feasibility studies and understanding current competitive pricing structures.
- Academic Researchers: For studies on urban economics, housing accessibility, and real estate market dynamics in South Asia.
Dataset Name Suggestions
- Indian Metropolitan Housing Real Estate Data
- Major Indian Cities Property Market Listings
- Resale and New Housing Data India
- India Urban Real Estate Price Analysis
Attributes
Original Data Source: Major Indian Cities Property Market Listings
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