As a data scientist, it's important to be able to tell a comprehensive story. Apartment POIs help to fill in the gaps in your coverage.
One of the fastest growing POI types, industrial POIs are becoming a critical piece to understanding the world around us.
Built for data scientists who need a comprehensive and reliable source of global POIs for every brand they care about.
Retail locations are constantly changing. SafeGraph Core includes open and close data to help you identify trends over time and keep your models accurate.
Introducing a premium set of Core Places POIs for every place not bound by a polygon.
The more data points you have access to, the more you can refine your models. Core includes thousands of distinct brands with over 99% fill rate to provide the most comprehensive coverage of global POIs for detailed, accurate analytics.
Models are only as accurate as the data they run on. SafeGraph uses patented machine learning techniques combined with human capital to verify all data points for accuracy, resulting in machine generated, human verified POIs so you can be confident in the veracity of your models and analysis.
Create an account in the SafeGraph Shop and customize a free sample dataset of SafeGraph Core today. No credit card required.
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.
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.
These columns are specific to Core Places. These are not available in standalone Geometry or Patterns purchases. If Core is purchased in combination with Geometry and/or Patterns, the Geometry and Patterns specific fields will be null for any POIs with a “closed_on” date. Please reference Column Ordering for details on where these columns exist per product combination.
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.