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San Francisco Bay Area Rental Listings
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About
Rental listing data for San Francisco, ideal for predictive modelling and trend analysis related to the local housing market. The data contains details on over 3,000 apartment and housing listings originally scraped from Craigslist. After cleaning, 1,000 unique listings remain, providing a focused resource for researchers and analysts interested in San Francisco's property dynamics. This dataset is primarily aimed at predicting housing prices based on various structural and locational features.
Columns
- date: The specific date the listing was posted. (Date)
- title: The descriptive title provided for the listing. (String)
- link: The direct URL to the original Craigslist listing. (String)
- price: The stated price of the rental listing. (Float)
- brs: The count of bedrooms included in the listing. (Integer)
- sqft: The reported square footage of the property. (Float)
- hood: The local neighbourhood associated with the listing. (String)
- bath: The count of bathrooms included in the listing. (Float)
- amenities: A descriptive string detailing features or amenities. (String)
- laundry: The type of laundry facility available, if applicable. (String)
- pets: An indicator of whether or not pets are permitted. (String)
- housing_type: The specific classification of the housing offered. (String)
- parking: An indicator of whether parking is included. (String)
- hood_district: The broader district the neighbourhood belongs to. (String)
Distribution
The core data is typically supplied in CSV file format. The initial scrape file contains 3,093 records for analysis. It is important to note that specific columns exhibit significant missing values; for instance, approximately 53% of records are missing square footage data, and 20% are missing data on the number of bedrooms. The data spans both numerical metrics (e.g., price, size) and categorical descriptors (e.g., housing type, amenities).
Usage
This data is excellent for training machine learning models geared towards forecasting housing prices in the San Francisco Bay Area. It supports research focused on recommending apartments to potential renters based on factors like desired budget, size, and preferred neighbourhood. Users can also create maps and data visualisations to explore the distribution of listings by geography, price bands, and key features. Furthermore, the listing dates allow for the finding of short-term rental price trends.
Coverage
Geographic Scope: San Francisco, California.
Time Range: The data represents a very specific snapshot of the rental market, covering listings posted between 30 September and 1 October 2020.
Notes: The data was filtered to remove duplicates and records lacking essential values, resulting in a cleaner subset suitable for analysis.
License
CC0 1.0 Universal (CC0 1.0) - Public Domain
Who Can Use It
- Data Scientists: For developing and testing prediction algorithms on real estate values.
- Real Estate Researchers: For studying localized rental market behaviour and dynamics.
- Software Developers: For building tools that provide visualisations or aid apartment-seeking efforts in the region.
- Prospective Renters: For understanding current market pricing and listing density within San Francisco districts.
Dataset Name Suggestions
- San Francisco Rental Market Snapshot 2020
- SF Housing Price Data (Craigslist Scrape)
- San Francisco Bay Area Rental Listings
Attributes
Original Data Source: San Francisco Bay Area Rental Listings
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