SafeGraph announces newest dataset to help in aggregating location data

This latest dataset by the company will help in using anonymized and aggregated location data to understand how devices move within and  around CBGs can help businesses, researchers, and local governments better assess existing foot traffic trends and predict future consumer movement patterns.

SafeGraph announces newest dataset to help in aggregating location data
SafeGraph announces newest dataset to help in aggregating location data

SafeGraph announces newest dataset to help in aggregating location data

SafeGraph has launched Neighborhood Patterns. This latest dataset by the company will help in using anonymized and aggregated location data to understand how devices move within and  around CBGs can help businesses, researchers, and local governments better assess existing foot traffic trends and predict future consumer movement patterns.  

With this launch the company will now able to apply the same methodology that it used for SafeGraph Patterns to every single Census Block Group (CBG)— the most granular area that the U.S. Census reports demographic data on, typically made up of 800 to 1,200 households.

In a blogpost shared by SafeGraph, Mike Sussman, director of enterprise sales of the company said, “Our mission is to be the go-to source of truth about any physical place in the world. But a place doesn’t necessarily need to be a building with four walls or even a Point of Interest at all. A Census Block Group is just a different kind of place. SafeGraph Neighborhood Patterns is a natural extension of what we already do best.”

More specifically, this information is uniquely critical for informing decisions around retail and commercial real estate site-selection. Understanding how people interact with their local communities is the key for making smarter decisions about where to put up shop, how to define business hours, and what factors can influence a given business’s potential for success. Some of our customers and research partners have already begun using SafeGraph Neighborhood Patterns in beta to do just that and a whole lot more.

This data is so powerful that it has been used—and trusted—by the Centers for Disease Control and Prevention (CDC) in its efforts to understand how well Americans are respecting stay-at-home orders during the COVID-19 pandemic and, as certain states begin to reopen their economies, how they are beginning to move around between communities.

These consumer mobility insights are critical for understanding how the gradual return to normal is either mitigating or further fueling the spread of the novel coronavirus. As a part of SafeGraph’s COVID-19 Data Consortium, they are joined by thousands of researchers, academic institutions, local, state, and national government bodies, and non-profit organizations to use the Neighborhood Patterns dataset to change the course of this crisis.

Having access to strong neighborhood insights can make a positive impact on both the private and public sectors alike. Whether the data is used to inform health and public policy during the COVID-19 crisis, give retailers and real estate developers a leg up in their site selection and retail trade analysis efforts, or answer broader social, cultural, and economic questions at the local, state, and national levels, SafeGraph’s Neighborhood Patterns dataset will transform how we all approach and take action on aggregated consumer movement patterns.