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MagicBricks Mumbai Housing Inventory and Pricing Data

Comodities & Real Estate

Tags and Keywords

Mumbai

Property

Housing

Real-estate

Pricing

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MagicBricks Mumbai Housing Inventory and Pricing Data Dataset on Opendatabay data marketplace

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About

Navigating the residential market in India’s financial capital requires detailed insights into future housing supply and pricing trajectories. Derived from web-scraped listings on MagicBricks.com as of October 2023, these records capture a broad range of upcoming residential projects in Mumbai. By documenting essential variables such as carpet area, possession timelines, and specific builder details, the data offers a vital perspective on the development landscape for the next decade. It serves as a foundational resource for evaluating the market positioning of various housing societies and understanding the premium placed on different localities within the city.

Columns

  • title: The descriptive heading for the listing, typically indicating the BHK configuration and the apartment type.
  • society: The name of the specific housing project or residential complex being developed.
  • price: The listing cost in Indian Rupees (₹), frequently expressed in Lakhs or Crores.
  • carpet_area: The actual usable floor space of the unit, measured in square feet.
  • transaction: The type of sale, which consists entirely of new property entries for these records.
  • status: The current development progress or the expected possession month and year.
  • furnishing: The interior state of the property, categorised as unfurnished or semi-furnished.
  • parking: The number of covered parking spaces allocated to the specific residential unit.
  • bathroom: The total count of bathrooms included in the property layout.

Distribution

The information is delivered in a single CSV file titled MagicBrick_Flat_Prices_Mumbai (1).csv with a file size of approximately 6.35 kB. It contains 39 valid records structured across 9 distinct columns. The data maintains 100% integrity for core fields such as title, society, and price, though approximately 31% of the parking fields are unspecified. Updates to the collection are expected on a weekly basis to reflect new listings and status changes.

Usage

This resource is ideal for performing exploratory data analysis to identify pricing trends across different Mumbai neighbourhoods. It is well-suited for building regression models to predict property values based on carpet area, furnishing, and amenities. Additionally, analysts can use the records to study the distribution of possession timelines, providing a clear view of when new inventory will enter the market between 2023 and 2031.

Coverage

The geographic scope is specific to Mumbai, India, with data points representing diverse localities and major builders such as Lodha, Godrej, and Kalpataru. Temporally, the collection was gathered in October 2023 and focuses on future-dated projects with possession timelines extending from December 2023 to August 2031. The demographic focus is on the premium residential sector, offering a thorough view of upcoming housing options for urban residents.

License

CC0: Public Domain

Who Can Use It

Real estate analysts and investors can leverage these records to benchmark prices per square foot and evaluate the competitive landscape of Mumbai's residential market. Data scientists might utilise the dataset to practice data cleaning, price conversion, and linear regression techniques. Furthermore, urban planners and market researchers can find this a valuable primary source for monitoring the growth of housing societies and the expansion of the city's residential footprint.

Dataset Name Suggestions

  • Mumbai Residential Real Estate Forecast (2023-2031)
  • Upcoming Mumbai Flat Prices and Possession Metrics
  • New Residential Property Listings: Mumbai Market Trends
  • MagicBricks Mumbai Housing Inventory and Pricing Data
  • Mumbai Future Property Valuations and Carpet Area Registry

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

1

LISTED

31/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format