GeoIP User Count Databases

The GeoIP User Count database provides insight into the number of expected users on an IP address and on the associated subnet during the past 24 hours, helping identify a variety of fraud including unauthorized access to content and click fraud.

To learn more about the GeoIP User Count database, including terms and pricing, please contact our Enterprise Business team for assistance.

Data Privacy

To comply with data privacy regulations, please monitor our Do Not Sell My Personal Information Requests page (login required) for IP addresses and networks that should not be used for advertising or marketing purposes. You can automate retrieval of this list using our privacy exclusions API.

Binary Database

Binary databases make use of the MaxMind DB file format.

You can use the mmdbinspect tool (in beta), a command line interface built with Go, to look up one or more IPs from one or more MMDB databases and receive output in a parsable JSON format.

CSV Database

In addition to our MaxMind DB binary format, we also offer GeoIP and GeoLite databases in a CSV format suitable for importing into a SQL database. The CSV files are shipped as a single zip file.

The zip file itself is named GeoIP2-User-Count-CSV_{YYYYMMDD}.zip. The downloaded zip file contains a single directory which in turn contains several files. That directory is named GeoIP2-User-Count-CSV_{YYYYMMDD}.

The files in this zip archive are:

FilenameDescription
LICENSE.txtEnd user license
COPYRIGHT.txtCopyright statement
GeoIP2-User-Count-Blocks-IPv4.csvCSV file containing data on IPv4 addresses
GeoIP2-User-Count-Blocks-IPv6.csvCSV file containing data on IPv6 addresses
All the CSV files start with a single header row containing column names. The specific column names and their contents are detailed below. The files are encoded as UTF-8.

Blocks Files

There are two CSV files for network blocks, one each for IPv4 and IPv6 blocks. These are named GeoIP2-User-Count-Blocks-IPv4.csv and GeoIP2-User-Count-Blocks-IPv6.csv respectively.

Please note that the CSV version of the GeoIP User Count database contains separate CSV files covering the IPv4 and IPv6 space. All the fields listed below are present as columns in both CSV files, but the values associated with IPv6 fields in the IPv4 file will be null, and the IPv4 fields in the IPv6 file will be null.
NameTypeDescription
networkIP network as a stringThis is the IPv4 or IPv6 network in CIDR format such as "2.125.160.216/29" or "2001:c50::/32". We offer a utility to convert this column to start/end IPs or start/end integers. See the conversion utility section for details.
ipv4_32integerThe estimated number of users sharing the IPv4 address during the past 24 hours. This is not an exact count of individual users but rather a normalized value.
Learn more about the normalization and values of the user count on our Knowledge Base.
ipv6_64integerThe estimated number of users sharing the IPv6 /64 network during the past 24 hours. IPv6 /64 networks are usually assigned to individual households and can be considered similar from a user perspective to an individual IPv4 address. This is not an exact count of individual users but rather a normalized value.
Learn more about the normalization and values of the user count on our Knowledge Base.
ipv4_24integerThe estimated number of users sharing the IPv4 /24 network that the IP address is contained within during the past 24 hours. This is not an exact count of individual users but rather a normalized value.
These values should be greater than the values provided in ipv4_32 because they are representative of the number of users across a larger number of IP addresses.
Learn more about the normalization and values of the user count on our Knowledge Base.
ipv6_48integerThe estimated number of users sharing the IPv6 /48 network that the IP address is contained within during the past 24 hours. This is not an exact count of individual users but rather a normalized value.
These values should be greater than the values provided in ipv6_64 because they are representative of the number of users across a larger number of IP addresses.
Learn more about the normalization and values of the user count on our Knowledge Base.

Conversion Utility

We’ve created a small utility program to allow you to convert a GeoIP CSV file’s representation of IP addresses to another format. You can choose between start/end IP addresses, with the addresses represented as strings or integers.

The program is available from our geoip2-csv-converter GitHub project releases tab.

Example Files

We maintain example files in CSV and MMDB format. The files contain dummy data rather than real GeoIP data.

CSV Example Files

We maintain examples of the CSV files as they would be downloaded from the account portal:

MMDB Example Files

We maintain test MMDB files on GitHub:

Alternatively, you can view all of our MMDB test data on GitHub.

Database Changes

We may add new data fields to the User Count database at any time.

New database fields are added as new columns to the right of existing columns in our CSV files, and as additional data in our MMDB files.

Subscribe to our GeoIP release notes to be notified when new data is added to our databases.