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.
- 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.
- 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.
- A Names table provides alternative names and languages.
- Exception and function codes help identify unique and non-traditional neighborhood types.
- 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 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.
- Coverage: 83 Countries
- Release Schedule: Quarterly
- Unit of Sale: By Region - USA, CAN, EUR, WRL (Worldwide), By Country, By State (USA only)