Fresh, accurate places data built to power modern applications

The world changes fast — stay ahead of the curve with the most precise, reliable global POI data available.

Fresh and precise

Deliver premium user experiences and market-leading insights

Never worry about stale or inadequate data. Build the most informative tools and stay ahead of the competition with up-to-date and accurate places data.

Continuous data collection and monthly updates deliver the most current, reliable global POI dataset available.
Rigorous sourcing and verification ensure POIs are geographically precise and accurately detailed.
Rich POI attributes provide the context needed for superior functionality and analyses.
Gain access to POI data for any place in the world

Leverage comprehensive POIs and place attributes for deeper context

Precise footprints
Understand the shapes and spatial hierarchy of places with machine-generated, human-verified place polygons that include rich metadata.
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Parking lots
Expand the concept of a place to include its surrounding parking lots. Discern physical surface areas, identify parking deserts, and determine which other POIs share the same lots.
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Point POIs
Get accurate, granular data on POIs overlooked by other data companies — including charging stations, ATMs, transit stops, and more.
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Enhance your product with POI attributes like opened/closed dates, business hours, precise geographical coordinates, and more.
Explore Places attributes
Clean and ready to use

Don’t waste time collecting and cleaning messy POI data

We're solely focused on sourcing and cleaning POI data so you can spend time on what matters - developing the best product for your users. Build with confidence knowing your places data is a true representation of the physical world.

Data files are delivered cleaned, deduped, and ready to embed
Flexible delivery options fit into your existing workflow
Simple pricing tailored for your specific use case puts you in control of your budget
Gain access to POI data for any place in the world

See how our customers are using SafeGraph Places

Avison Young Uses SafeGraph Data to Offer Ground-Level Insights for Commercial Real Estate Site Selection
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SafeGraph data helps Clear Channel Europe fuel more targeted, higher performing OOH ad campaigns
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Dosh’s card-linked consumer offers application builds brand loyalty using SafeGraph Places data
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Quality data ingredients at scale

Quality is your priority, so it's ours too. We rigorously verify our data to power your products with the highest quality ingredients.








Countries & Territories

Places POI data collection FAQ

What is POI data & what does it include in Places?

Point of interest (POI) data is information about geographical places that exist in the real world, such as the location of the physical place, ownership, open and close history, and more. POI data is extremely useful for business and competitive intelligence analysis and is used by investors, retail businesses, and much more.

With SafeGraph Places datasets, you can information on the physical location of the place, such as the latitude and longitude, street address, city, region, and postal code. On top of this, our Places datasets have information about brand affiliation, hours of operation, historical data on when businesses open and close at this location, and building footprint information, all of which further contextualize the location.

How much does the Places dataset cost?

Like all of our data, the cost of Places depends on the amount of rows, columns, and frequency of delivery you request. Contact our sales team to learn about enterprise pricing.

How often is the dataset updated?

SafeGraph issues updates to Places once per month, which is much more frequently than other POI vendors, who may update once every 3-6 months. We can do this because we work with more sources of data and are much more efficient at combining those sources. During each month, some subset of our sources will send us their updates, and we ensure that we onboard and integrate those changes quickly and easily.

This enables us to quickly reflect store openings and closings in our Places database. The time between a store opening/closing and being reflected in our Places database is approximately equal to the time that the store update is seen by one of our sources and the time it takes SafeGraph to reflect this in our data. The latter of these two is typically within the month, which is very fast compared to other providers, which might be within 3 months. The former of these two is hard to predict - but we do work with sources that generally receive updates very quickly.

How do you determine when a POI is opened or closed?

Opened and closed dates are determined from metadata at the source level. If a new POI from an existing source repeatedly appears in our build pipeline, it is flagged as “opened_on” during the month in which it first appears. Similarly, if a POI from an existing source repeatedly disappears in our build pipeline, it is flagged as “closed_on” during the month in which it first disappears. These flags are added to the Places product permitting final QA checks and overall data hygiene.

Temporary closures are not captured in open/close tracking, and it became difficult to distinguish permanent closures from temporary closures at the onset of COVID-19. This resulted in a relatively low count of POIs with “closed_on” values between 2020-03 and 2020-06 as we erred towards the side of caution to not mistakenly mark temporarily closed businesses as permanently closed.

If a POI has not yet been sourced consistently enough to provide the metadata needed to determine “closed_on” dates, then it will have a null value in the tracking_closed_since column. In general, the SafeGraph Places product tracks opened and closed dates from as early as 2019-07 onward.

How does SafeGraph assign NAICS codes to points of interest (POI)?

SafeGraph Places uses the North American Industry Classification System (NAICS) developed by the US Census Bureau, which consists of a numeric NAICS code up to 6 digits in length. Although this taxonomy was developed in the US, we have found it just as useful for categorizing POIs in other countries as well and will continue to use it until a better alternative presents itself.

The code itself is hierarchical; in other words, the first 2 digits describe a very general category, and additional digits describe more and more specific categories.


Leading applications run on SafeGraph Places