Population Density Data

Global Daytime Population Density

WHAT IS GLOBAL DAYTIME POPULATION DENSITY?

Tablet with mobile trace data during day and night. The daytime population is in a mall and at work, the nighttime population is at home.

Global Daytime Population Density gives information about the size of population that is present in a given area during the day.

The population within an area is defined by official statistics as the number of residents being registered in that area. This refers to nighttime population, consisting of permanent residents. On the other hand, there is the daytime population, consisting of the number of people who are present in an area during the day. It includes, among others, consumers, tourists, workers, and residents. Yet there are two different types of populations for any given area.

This is an important difference, especially for organizations that want to find out where people are during the day, rather than where they live. Despite official statistics, many parts of the world have populations that vary wildly from day to night. The daytime population in most areas increase substantially during the day, particularly those that have a workforce coming into the area for work and then commuting elsewhere at the end of the day.

Sie sehen gerade einen Platzhalterinhalt von Standard. Um auf den eigentlichen Inhalt zuzugreifen, klicken Sie auf die Schaltfläche unten. Bitte beachten Sie, dass dabei Daten an Drittanbieter weitergegeben werden.

Mehr Informationen

METHODOLOGY

Calculated by using a multitude of variables:

  • Total current resident population of a given area
  • The number of workplaces, secondary home, POIs and other regular locations
  • Internal migration based on the change of the residences within an area
  • Cross-border migration, based on the regular travels between different countries
  • Accessing temporary population statistics
  • Assessing temporary population (hourly, daily, weekly, monthly, etc.)

SMART COMBINATION

Connecting the daytime population data with our globally consistent and comparable geodata you can identify valuable correlations. Additional to the information about how many people are located in a certain place at a certain time, you can also find out which target group they belong to. This provides you with the best basis for well-founded and data-based decisions.

Potential Business Applications

  • Predicting best retail locations
  • Logistics optimization by avoiding areas with high population movements
  • Identification of the best time window for the target group: When is my target group at home, when at work?
  • Human Resource Planning: In which time frame does my target group go shopping?
  • Identification of the visits of consumers to certain points of interest (e.g. shops, shopping centers etc.), their movement patterns or whereabouts and duration of stay
  • Real estate management and investment evaluation
  • Identification of advertising and marketing locations
  • Better understanding of industrial area population

KEY DIFFERENTIATORS

Globally consistent and comparable data

Strict quality control

Individual consulting and support

Continuous updating

100 % GDPR compliant

COUNTRY AVAILABILITY

Europe | North America | South America | Asia | Oceania | Africa

AREA BOUNDARIES

• Postcode Level
• Administrative Area Level
• Small Area Level

> LEARN MORE

DATA FORMATS

Tab delimited file (TXT) | KML | Access database (MDB) | Excel (xls) | Esri Shapefile (.shp) | Esri Geodatabase (.gdb) | MapInfo (.tab) | MapInfo MIF/MID | more on request

> LEARN MORE

DATALINK API

Easy access to a variety of MBI data
• Datalink Desktop
• Datalink Rest API

> LEARN MORE

TELL US WHERE YOU ARE HEADING.
WE WILL GLADLY ASSIST YOU IN SELECTING THE DATA NEEDED TO REACH YOUR GOAL.

Didn’t find what you are looking for or have another question? Please do not hesitate to contact us!

Our experts will be happy to advise you individually and without obligation on which data you can use to create added value for your company and realize savings.

Would you like to evaluate and visualize the data?

Discover More

share

To Content To Menu