Neighborhood Boundaries

Neighborhood Boundaries identifies and names neighborhoods as they are experienced by local residents. In addition to a hierarchy of precisely validated names and boundaries, it provides data on the population, demographics, culture and other attributes that make a cohesive neighborhood.

Is Neighborhood Boundaries Right For You?

Answer a few quick questions about your business and your intended use so we can help you determine if the data is a good fit for your use case.


Online search

Restrict your results to a specific neighborhood.

Social media

Refine searches to a more precise and socially relevant location.

Direct marketing

Create hyper-local campaigns.

Home valuation

Real Estate, Financial, and Insurance markets can identify comparable home or apartment values.


  • Neighborhoods are defined using multiple authoritative sources including local government, real estate, tourism, local media and customer feedback.
  • Unambiguous boundaries enable more accurate search and analysis results and cleaner visualization.
  • A robust hierarchy tailors data organization to meet application needs:
    • “M” = Macro neighborhoods
    • “N”= Neighborhoods
    • “S”= Sub-neighborhoods
  • Coverage concentrates around the key metro areas where your customers are located.
  • Quarterly updates show where change and coverage expansion has occurred.
  • Change table details adds/deletes/changes from last release.


  • Covers approximately 100,000 neighborhoods in over 925 metros across 83 countries worldwide.
  • Each neighborhood polygon includes a unique and persistent object ID, primary name, plus object type and subtype codes including macro neighborhood, neighborhood, sub neighborhood, centroid coordinate, and area fields.
  • Names table provides alternative names and languages.
  • Exception and function codes help identify unique and non-traditional neighborhood types.


Release schedule
Unit of Sale
Region, Country, State

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