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Residential Property Dynamics and Residency Trends
Comodities & Real Estate
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About
Exploring the domestic dynamics of Indian residential assets provides a detailed view of housing shapes, the financial burden of maintenance, and the longevity of family residency. These records track the economic value and physical attributes of homes, offering a thorough look at how long a single household typically remains in one location. By connecting property features like area and fit-out status with market pricing, the data allows for an extensive study of urban living standards and the means of survival for properties across various Indian localities.
Columns
- Area: The total square footage of the residential property.
- BHK: The count of bedrooms, halls, and kitchens within the unit.
- Bathroom: The number of available washroom facilities.
- Furnishing: The fit-out status of the home, such as semi-furnished or unfurnished.
- Locality: The specific geographical neighbourhood or residential district.
- Parking: The number of dedicated vehicle spaces provided with the property.
- Price: The total market valuation of the residence.
- Status: The occupancy readiness, categorised as ready to move or almost ready.
- Transaction: The type of property exchange, identifying new properties or resales.
- Type: The architectural classification, typically builder floors or apartments.
Distribution
The information is delivered in a CSV file titled
IndianHouses.csv with a file size of 157.58 kB. It consists of 1,259 unique records across 11 columns. The data exhibits high integrity with a 100% validity rate for primary fields like price and area, and it has achieved a perfect usability score of 10.00. Updates are expected on a weekly basis to maintain current market relevance.Usage
This resource is ideal for performing exploratory data analysis and creating visualisations of the Indian housing market. Researchers can use the figures to model the relationship between property size and price or to investigate how furnishing status affects market demand. It also serves as a baseline for predictive modelling regarding the duration of family residency and maintenance costs.
Coverage
The geographic scope is centred on India, featuring specific urban localities such as Lajpat Nagar. The data covers a wide array of property sizes, ranging from 800 to over 24,000 square feet, and accounts for diverse family structures. Temporally, the records capture current market conditions while providing historical context for family residency durations.
License
CC0: Public Domain
Who Can Use It
Real estate analysts can leverage these figures to forecast pricing trends and assess market health. Urban planners may utilise the data to study housing density and the distribution of builder floors versus apartments. Additionally, data scientists can use the structured records to refine their skills in data cleaning and storytelling within the residential sector.
Dataset Name Suggestions
- Indian Residential Property Valuation Archive
- Delhi Housing Market Trends and Demographics
- Domestic Asset Lifecycle Registry: India
- India Home Pricing and Amenities Data
- Residential Property Dynamics and Residency Trends
Attributes
Original Data Source: Residential Property Dynamics and Residency Trends
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