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São Paulo Rental Property Prices
Data Science and Analytics
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About
Presents crucial rental market insights for São Paulo, Brazil. This collection of information covers properties extracted from the QuintoAndar platform on 1st May 2023. It includes key variables like monthly rent, total property cost, size in square meters, and property features such as the number of bedrooms and garage spaces. It is a valuable resource for analysing local real estate trends, understanding average pricing in different districts, and training predictive models.
Columns
address: The physical street address of the property.district: The neighbourhood or geographical district where the property is located.area: The size of the property, measured in square meters.bedrooms: The count of bedrooms available within the residence.garage: The total number of parking spaces available at the property.type: Categorisation of the property, such as Apartment or House.rent: The net monthly rental price for the property.total: The final monetary obligation, including monthly rent, associated taxes, and other applicable fees.
Distribution
This dataset is provided as a CSV file, containing approximately 11,700 valid records across 8 distinct columns. The file size is about 756.73 kB. Users should be aware that the information was collected using web scraping techniques, which means verification is suggested due to the possibility of errors or missing fields.
Usage
- Understanding average rental price variations across São Paulo's districts.
- Identifying the most frequently available property types in specific geographical areas.
- Developing and training machine learning models for rental price prediction based on property characteristics (regression analysis).
- Exploratory data analysis of the Brazilian housing market.
Coverage
The data focuses exclusively on rental properties within São Paulo, Brazil. The information reflects a single snapshot in time, captured on 1st May 2023. The expected update frequency for this type of data is monthly.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For training regression models related to housing prices.
- Real Estate Analysts: To perform market segmentation and pricing strategy assessments based on location and property size.
- Researchers: Studying urban housing availability and economic patterns in major Brazilian cities.
Dataset Name Suggestions
- São Paulo Rental Property Prices 2023
- Brazil Urban Real Estate Characteristics
- SP Housing Market Rental Data
- QuintoAndar Rental Listings Snapshot
Attributes
Original Data Source: São Paulo Rental Property Prices
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