Global Demographics Case Study
Global Demographics
Find customers who fit your profile.
Overview
Granular, consistent and global population, household, age banded and affluence data.
This data is built from different sources, based on the data available in each country, for example, census, data from household surveys, house-price, rental data, employment and education statistics.
Applications
- Find customers who fit your profile.
- Optimal site selection: Identify areas with the right customer base by analysing population size, household density, and affluence, ensuring the best location for new stores, services, or facilities.
- Revenue forecasting: Potential sales and growth opportunities by aligning location plans with the demographic characteristics of target areas.
- Target marketing: Identify and reach your ideal customer segments.
Features
- Lowest admin level available.
- H3 level 9 (200m edge~400m hex grid).
- Population & gender splits.
- Households.
- Age bands 0-14, 15-29, 30-44, 45-59, 60+ years.
- Affluence index.
- The data is available at a resolution called H3 level 9, a hierarchical grid system. These grids provide a means for the data to be provided at a common geography in every country.