How we source, process, and present ZIP code data
ZipCodeFacts aggregates publicly available data from authoritative government and research sources to create comprehensive ZIP code profiles. We do not conduct original surveys or field research. Our role is to compile, organize, and present existing public data in an accessible format.
The ACS is conducted annually by the U.S. Census Bureau and provides estimates for population, median household income, age demographics, and other socioeconomic indicators at the ZIP Code Tabulation Area (ZCTA) level.
ZHVI reflects the typical home value for a given area, smoothed and seasonally adjusted. Zillow publishes this data monthly at the ZIP code level. We use the “All Homes, Time Series, Smoothed, Seasonally Adjusted” dataset.
RUCA codes classify U.S. ZIP codes by their urbanization and commuting characteristics. We use these codes to categorize areas as Urban, Suburban, Rural, or other classifications.
County assignments for ZIP codes are sourced from USPS data via OpenDataSoft. ZIP-to-county mapping provides additional geographic context.
ZipCodeFacts calculates composite scores (0–100 scale) to help users compare ZIP codes. All scores are derived from publicly available data and use transparent, documented algorithms.
A general livability score based on weighted factors including median income relative to cost of living, population stability, housing affordability, and area classification. Higher scores indicate stronger overall livability metrics.
Measures how affordable a ZIP code is based on the ratio of median home value to median household income, compared to national and state averages.
An internal metric measuring data completeness for each ZIP code. ZIP codes missing population, income, or housing data receive lower quality scores, and very low-quality pages are excluded from search engine indexing.
Important: Scores are statistical calculations, not endorsements or predictions. They do not account for hyperlocal factors such as individual neighborhood safety, school quality, or environmental conditions. Past data trends do not guarantee future outcomes.
Our data pipeline follows these steps:
If you find data that appears inaccurate or have questions about our methodology, please let us know through our contact page or use the “Report Data Issue” button on any ZIP code page. We review all reports and correct verified errors. See our editorial policy for more details.
For the full legal disclaimer, see our Disclaimer & Data Sources page.