Understand the census block groups people move to and from throughout the day.
Neighborhood Patterns provides answers to questions like:
Neighborhood Patterns provides answers to common questions about population movement, enabling you to make informed site selection decisions. Deep dive into site selection using SafeGraph data.
Census block groups are the most granular level of geography the US Census Bureau reports on; mapping and measuring movement between CBGs reveals powerful insights into consumer activity. Easily combine with Open Census data for more granular demographic insights for each community.
Neighborhood Patterns is easily joined to census demographic data, providing 7500+ attributes related to age, income, ethnicity, and more. Deep dive into the origina story of Neighborhood Patterns, and how the CDC and UW-Madison's Geospatial Data Lab are using Neighborhood Patterns in their models.
Places data to help data scientists ensure a location will drive real business results.
See who your customers are, where they come from, and what other brands they visit.
Trade area analysis fueled by accurate data can forecast whether a business will succeed or fail in a given geographical area.
Accurate and precise points of interest (POI), building footprint, and foot traffic data reveal where people go, and how easy it is for them to get there.
Measure consumer activity at precise locations to optimize network performance and planning.
Places Patterns represents aggregated foot traffic information to individual places or pointes of interest (POI). Whereas Neighborhood Patterns represents aggregated foot traffic information to individual census block groups (CBGs).
SafeGraph uses the 2010-2019 version of the census block groups for the U.S., specifically the 2016 vintage. You can find more information and a link to download the US census block group geometries on our Open Census Data page.
Our docs site has additional data science resources to help you better understand the Neighborhood Patterns data.