Agoop Data ? Objectives
Agoop Data provides dynamic population data (shopping population, leisure population, sightseeing population, etc.) chronologically (by time frame, by day of the week, by month, and by season.) Such data are not discernible from the census data.
Users of Agoop Data can implement area marketing activities highly matching the area’s reality.
The size of the full-capacity population of each crowd-attracting facility in the area is theoretically calculated, then adjusted by a unique coefficient specific to the area, to estimate the current dynamic population. The database is a collection of population data thus obtained.

Tokyo Metropolitan Area: Population shifts to different areas depending on the time of the day and people’s lifestyles.

[Main Features]

• Aggregation and display based on dynamic population distribution
• Aggregation and display based on the population concentration trends by time frame, day of the week, month or season
• Two ways to express dynamic population data; average or aggregated

[Product Overview]
Dynamic Population Data Enables a Real Area Marketing Analysis.
Governmental bodies publish population statistics obtained by the census as the nation’s basic statistical data, and most area marketing analyses use them.
However, the census’ population statistics are static population data.
Static population data do not tell you the real chronological population movements. You cannot know the dynamic population, such as how many people are shopping, engaged in recreational activities, or sightseeing, in a specific area, in a specific season, on a particular day of the week, during these or those hours.
If you can know the dynamic population, you can implement area marketing activities that match the reality of the area.
The population is not evenly distributed in an area. Normally it is unevenly distributed, with concentrations found on certain facilities/areas within the area.
The size of the full-capacity population of each crowd-attracting facility in the area is theoretically calculated, then adjusted by a unique coefficient specific to the area, to estimate the current dynamic population.

<How to use>

1. All by large-scale measure Expense：120 million yen, Customer satisfaction level：High ※ Overinvestment
2. Analyzed based only on static population Expense：29 million yen, Customer satisfaction level：Middle
   ※Low in Leisure/Hotel Area
3. Analyzed based on static + dynamic population　 Expense：71 million yen, Customer satisfaction level：High
   ※Best

<When to use>
◎Simulation of disaster prevention on the basis of actual population distribution, even with "hours of disaster" in mind.
◎Effective implementation of shelter construction, emergency food reservation, and rescue

<How to use>
Generally, local governments declare elementary schools and junior high schools as shelters during a disaster.
They also decides how much emergency food to reserve for regions based on their population distribution.

<When to use>
◎Analyzing market area including the surrounding area based on the flows of realistic population by the month or days of the week
◎Spotting a store site for cost-effectiveness and planning appropriate staff assignments

<How to use>
◎Analyzing the candidate site for a new store
Analysis condition：Market area - within 1km, Population - over 2,000 people