Dynamic maps of subscriber density provide information on the number of subscribers in a given geographic area (e.g. an administrative area) 

They provide an up-to-date picture of where people live, work or travel to, and how this varies over time. We can analyse Call Detail Records (CDRs) to produce indicators on the short-term (hourly, daily) or long-term (weekly, monthly, seasonal) changes in the number of subscribers in an area.

There are two broad categories of indicators describing dynamic population mapping:

  • Subscriber presence indicators
  • Home location indicators.


Subscriber presence indicators

Short-term changes in the number of people visiting a location can be calculated hourly or daily . We call this category of indicator “subscriber presence”. 

From these short-term changes in subscriber presence, we can  generate additional indicators:

  • How busy different locations are and how frequently they are crowded (crowdedness)
  • How many people visited the same locations in the same time period (population mixing)
  • Locations with high levels of crowdedness and/or mixing (hotspots).

Home location indicators

We can also generate a range of indicators describing longer-term changes in population density. They represent the number of people staying or residing in an area and can be calculated as a weekly, monthly or seasonal change. We call this category of indicators “home locations”.

In contrast to subscriber presence, in which the same subscriber may visit multiple locations in the same time period, each subscriber has only one home location in a given time period.

Discover our two main categories of dynamic population mapping indicators

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