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United States Zillow Real Estate Market Index
Comodities & Real Estate
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About
Real estate listings across the United States are captured in this collection, providing detailed insights into property features, market valuations, and rental estimates. Extracted from a prominent online real estate marketplace, the information covers a wide array of housing characteristics across various neighbourhoods, cities, and states. It serves as a valuable resource for understanding regional market trends and building predictive models for property pricing. By documenting coordinates alongside financial estimates, it facilitates the study of geographic influence on home values.
Columns
- State: The two-letter postal abbreviation for the state where the property is located (e.g., AL for Alabama).
- City: The specific municipality or urban area where the house is situated.
- Street: The full street address of the listed property.
- Zipcode: The five-digit postal code associated with the residence.
- Bedroom: The total number of bedrooms available within the house.
- Bathroom: The count of bathrooms provided in the property.
- Area(sqft): The total interior living space of the house measured in square feet.
- PPSq: The calculated cost per square foot for the property.
- LotArea(acres): The total land area associated with the home, measured in acres.
- MarketEstimate(Dollars $): The estimated market value of the property derived from a proprietary algorithm.
- RentEstimate(Dollars $): The estimated monthly rental value of the property based on an automated algorithm.
- Latitude: The specific geographic latitude coordinates of the property.
- Longitude: The specific geographic longitude coordinates of the property.
- ListedPrice(Dollars $): The official asking price for the property as shown on the market listing.
Distribution
The information is delivered in a CSV format titled
cleaned_df.csv with a file size of approximately 2.64 MB. It consists of 22,700 valid records with high integrity, showing 100% validity for most core location and pricing fields. The resource maintains a usability rating of 10.00 and is expected to be updated on an annual basis to reflect changing market conditions.Usage
This resource is ideal for performing real estate market analysis to identify regional pricing fluctuations and rental yield trends. It provides a structured foundation for building predictive machine learning models aimed at estimating property values or monthly rent based on physical features. Additionally, it can be utilised for feature engineering and comparative research between different American urban centres.
Coverage
The geographic scope includes 49 US states and the District of Columbia, excluding Hawaii. The data provides a snapshot of house listings for the 2023 period. It captures a diverse demographic range of housing types, from small suburban residences to large estates, across over 5,000 unique cities and nearly 20,000 unique street locations.
License
CC0: Public Domain
Who Can Use It
Real estate analysts and investors can use these metrics to benchmark property values and identify emerging market trends. Data scientists and machine learning practitioners can leverage the high-usability features to train and test regression models. Furthermore, academic researchers focusing on urban economics or social geography will find the broad geographic and financial coverage suitable for large-scale longitudinal studies.
Dataset Name Suggestions
- 2023 United States Zillow Real Estate Market Index
- American Housing Valuations and Property Features Registry
- US Residential Listing Trends and Rental Estimates 2023
- National Real Estate Market Analysis: Zillow Extract
Attributes
Original Data Source:United States Zillow Real Estate Market Index
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