Use cases
Subnational economic data can be used for identify regions with high purchasing power, economic impact assessment for volatile events like COVID, and more.
Identify subnational regions with high purchasing power for market expansion
Most of the world has no subnational data, particularly in emerging economies. Use our data to go beyond national-level economic understanding. Instead of looking at hundreds of countries, use our data on ~60,000 subnational regions worldwide. Identify areas with high purchasing power to determine market expansion plans.
Level of granularity shown for regions in Africa and the Middle East.
How Nigerian GDP varies at a regional level.
Identify up-and-coming regions before your competitors
Identify up-and-coming regions based on their growth rate to find opportunities before your competitors. One customer in the private equity industry uses our data to find wealthy and up-and-coming regions in Thailand to find areas for high-potential acquisition opportunities.
E.g. Region with a high growth rate.
Determine how COVID policies actually affect local economies
In the EU, our monthly GDP data provides near real-time, frequent, granular economic understanding that official statistics lack. For example, in the EU, official monthly GDP has a lag of several years, making it impossible to use official data to assess the economic consequences of recent phenomenon, like COVID-19, at a granular level.
See how shocks impact regional growth and mitigate accordingly
Economic health of Orleans County after Hurricane Katrina.
Economic health of Fukashima region after nuclear disaster.
Track regional performance against similar regions
Track the relative performance of different neighborhoods month-on-month.
Improve your existing machine learning models
Use both our GDP data and luminosity data as an additional input into your existing models. We process our luminosity data using algorithms, isolating for human-generated light by removing things like cloud cover, fires, aurora, etc. Luminosity has been shown to be a good proxy for consumption and wealth.
One customer found that our luminosity data in Mexico had an insightful relationship with crime-prediction.
