Point of Interest (POI) Data
Point of Interest GIS data is one of the most commonly used spatial data formats. Using CARTO you can access POIs that are accurate, delivering reliable spatial context on real-world locations by showing restaurants, stores, schools and much more.

POIs Datasets
United States of America · Points of Interest
SafeGraph
Places - United States of America (Latitude/Longitude)
Licence
Premium dataPlacetype
PointTemporal aggr.
DailyFrance · Points of Interest
HERE
Points Of Interest - France (Latitude/Longitude)
Licence
Premium dataPlacetype
PointTemporal aggr.
QuarterlyUnited Kingdom · Points of Interest
SafeGraph
Places - United Kingdom (Latitude/Longitude)
Licence
Premium dataPlacetype
PointTemporal aggr.
DailySpain · Points of Interest
Precisely
Points Of Interest - Spain (Latitude/Longitude)
Licence
Premium dataPlacetype
PointTemporal aggr.
MonthlyItaly · Points of Interest
HERE
Points Of Interest - Italy (Latitude/Longitude)
Licence
Premium dataPlacetype
PointTemporal aggr.
QuarterlyUnited States of America · Points of Interest
HERE
Points Of Interest - United States of America (Latitude/Longitude)
Licence
Premium dataPlacetype
PointTemporal aggr.
Quarterly
How to use this data in CARTO?
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Example of POI data analysis
Retail Big Box Stores
Retail Big Box Stores in the US use CARTO’s platform to bring together their internal data on sales and performance with external credit card insights from Mastercard and POI data. This allows them to identify potential targets for expansion or consolidation, seeing how other competing stores are located.
Category
Data Set


Example of POI data analysis
Urban Planning Specialists
Cities used our POI data to understand urban inequality trends. In this example, the Human Dynamics group at the MIT Media Lab brought together multiple location data sources to understand human behavior and how large-scale problems like transportation, housing, segregation or inequality depend in part on the emergent patterns of people’s individual opportunities and choices.
Category
Data Set


Example of POI data analysis
CPG Firms
CPG firms select pop up sites by using CARTO’s POI data to identify where certain target segments may also visit, allowing them to reduce the risk of a poor site decision. By looking at age, gender, rental price data, and transport accessibility, CPG firms can identify ideal locations based on the target audience of the product potentially being sold at the pop-up site.
Category
Data Set
Discover other Spatial Data Categories
Real Estate
Property statistics, prices, and history to drive decisions and investment.Demographics
The most recent census data including: age, income, household types, and more.Financial
Merchant and ATM transaction data from leading banks and credit card companies.Road Traffic
Data from routing apps and GPS to analyze traffic patterns and commuters.Human Mobility
Mobile device and GPS data provide insight into human movement patterns.Environmental
Climate and weather data, including exposure to weather-based hazards.Behavioral
Browsing habits, app usage, feelings and experiences shared over social media platforms…Boundary
Digital boundaries for data aggregation and display on a map.COVID-19
Data especially curated to analyse the impact of the COVID-19 pandemic.