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Santiago Real Estate Valuation Data
Data Science and Analytics
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About
This collection provides detailed information on used residential properties listed for sale within the Metropolitan Region (RM) of Santiago, Chile. The data was obtained via a web scrape of the chilepropiedades.cl platform on 18 July 2023. It offers multiple pricing metrics (CLP, UF, USD) alongside crucial physical attributes, making it valuable for real estate valuation, market trend analysis, and economic modelling specific to the Chilean housing sector. It is important to note that this dataset strictly contains houses for sale and excludes apartments or bare land. As the data is derived from a public web scrape, there is a possibility of entry errors, such as unusually large area measurements.
Columns
- Price_CLP: The listed sale price of the house denominated in Chilean Pesos.
- Price_UF: The listed sale price denominated in Unidades de Fomento (UF), Chile’s inflation-indexed currency unit.
- Price_USD: The listed sale price denominated in US Dollars.
- Comuna: The specific administrative district (comuna) where the property is located.
- Ubicacion: A more detailed description of the property's location.
- Dorms: The total number of bedrooms (dormitories) in the house.
- Baths: The total number of bathrooms in the house.
- Built Area: The area of the structure that has been built, measured in square metres.
- Total Area: The total area of the entire property, measured in square metres.
- Parking: The recorded number of parking spaces available with the house.
- id: The unique publication code for the listing on the source website (e.g., used to form the direct URL).
- Realtor: Identification of the real estate broker or agency responsible for the listing.
Distribution
The information is delivered in a CSV file format, titled '2023-03-08 Precios Casas RM.csv', with a file size of 778.25 kB. The data structure includes 12 columns. There are 7,779 entries (rows) that are valid for key fields such as pricing and identification. Note that certain fields, particularly 'Parking' and 'Realtor', show a notable percentage of missing values.
Usage
- Developing machine learning models for precise property price prediction using location and attribute data.
- Conducting spatial economic analysis to understand price disparities and market trends across Santiago’s diverse comunas, such as Puente Alto and Las Condes.
- Evaluating property feature importance (e.g., impact of built area, number of baths/dorms) on market valuation.
- Real estate market surveillance, particularly tracking price movements relative to the UF.
Coverage
The geographical scope is restricted to the Metropolitan Region (RM) of Santiago, Chile. The data reflects a single snapshot captured on 18 July 2023. The content scope is strictly limited to houses listed for sale and excludes other property types like flats or undeveloped land. The intended update frequency for this data is monthly.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: Utilising the dataset to train regression models for house price forecasting.
- Real Estate Developers and Investors: Performing feasibility studies and identifying undervalued or trending neighbourhoods in Santiago.
- Academic Researchers: Studying Latin American housing markets, inflation dynamics, and the economics of urban housing.
Dataset Name Suggestions
- Santiago Metropolitan Region Residential Property Listings
- Chile RM Used Houses for Sale (July 2023)
- Santiago Real Estate Valuation Data
- Chile House Price Scrape
Attributes
Original Data Source: Santiago Real Estate Valuation Data
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