Neighborhood Patterns
Overview
Advan Research’s Neighborhood Patterns dataset contains footfall data aggregated by census block
group (CBG) in the U.S. Learn which day of the week a CBG is busiest, what time of the day a CBG is busiest, where devices that stop during breakfast, lunch, and dinner travel from, and how weekday and weekend demographics compare. This data is ideal for site-selection use cases and other use cases where you need to understand how busy an area is, when it is busy and the demographics of the visitors.
Data Information | Value |
---|---|
Refresh Cadence | Monthly |
Historical Coverage | 2019 -Present |
Geographic Coverage | United States ,Canada |
Schema
Create a Dewey Data login and navigate to the Table Structure view in the product for a description of each variable.Neighborhood Patterns - US, Neighborhood Patterns - Canada
Key Concepts
Visit Attribution
Advan Research computes the visits/visitors and other metrics inside a POI using the POI’s geometry. They do not apply any dwell time or any concept of “stops”; they rely on the polygon for accuracy. We have tested our data on 1,500 publicly traded tickers versus (a) top line revenue as reported from the companies and (b) credit card transaction counts on physical locations, and we have determined consistently that in the vast majority of cases filtering for dwell time reduces the signal and makes the correlation/forecasting worse.
Differential privacy is applied to visit fields. A random number between 0 and 5 in the US is added or subtracted to the number of stops and census block group visitors. In addition, if there is only one device in the home and daytime areas it is not reported at all; if there are between 2 and 4 devices, they are reported as 4; and, starting January 2023 in the US, only the 65th percentile of areas are included.
Determining Home Location
Advan Research computes a device’s home/work (night/day) location by looking at the previous calendar month and computing the time a device spent in each building in the country; then taking the most frequented building. They define daytime (work location) as 8am-6pm M-F. We define nighttime (home location) as 6pm-8am.
Panel
Along with the the Neighborhood Patterns, Advan Research also provides a Panel Overview Data to help you better understand the context of the data appearing in Neighborhood Patterns.
Home Location Distributions by State/Census Block Group ↗️
US and Canada POI
On Dewey, US and Canada are separated into distinct datasets. Depending on the geographic region of interest, select the corresponding dataset.
FAQs
How is the data sourced?
The data is sourced from a panel of mobile devices and aggregated.
Updated 4 days ago