NEIGHBORSCORE

Data Sources

NeighborScore aggregates publicly available government data. We do not collect or sell personal data. All scores are derived exclusively from the sources listed below.

Zillow Research (ZHVI/ZORI)

Used for: Median home values and rental estimates · Updated: Monthly

Zillow Home Value Index (ZHVI) tracks typical home values. Zillow Observed Rent Index (ZORI) tracks market-rate rents. Both are publicly available CSV files.

Official Source →

FBI Crime Data Explorer

Used for: Crime incident counts by category · Updated: Annual (supplemented by city open data monthly)

FBI NIBRS data supplemented by city open data APIs (Socrata SODA) for Los Angeles, Chicago, and New York City.

Official Source →

NCES Common Core of Data (CCD)

Used for: School enrollment, grades served, and directory information · Updated: Annual

The CCD provides universe-level directory data on all ~100,000 public elementary and secondary schools and ~18,000 districts in the United States. It covers enrollment by grade, demographics, and operational status — but does not include assessment or proficiency data.

Official Source →

NCES EdFacts

Used for: Student assessment proficiency (math and reading) · Updated: Annual

EdFacts is the U.S. Department of Education system for collecting state assessment data. NeighborScore uses SY 2020-21 EdFacts proficiency rates — the school year ingested into the database. More recent vintages (through SY 2024-25) are available and will be incorporated in future updates.

Official Source →

US Census Bureau ACS

Used for: Population, median income, homeownership rates · Updated: Annual (5-year estimates)

The American Community Survey (ACS) 5-Year Estimates provide reliable demographic data at the ZIP code tabulation area (ZCTA) level.

Official Source →

Score Methodology

The overall NeighborScore is a weighted composite: Crime Score (53%) + School Score (47%). The Property Value score is shown as context (an affordability signal) and is not part of the overall composite. Each sub-score is normalized to a 0–100 scale relative to peer areas. Scores are updated monthly as new data becomes available.