Features

Human Population

planetSCAN possesses AI Powered Global Population at 250 Square Meter Level Data

Population is further split by Gender & Age Groups

You will also get to know number of Households (HH) in a give area

Analyze your business data such as sales in conjunction with population & number of households data to infer never seen before insights.

Ideal for Humanitarian Organizations to plan their activities and analyze respective data

Settlement Type

Deep Learning Algorithms has made it possible to analyze satellite imagery and classify settlements / building types into different categories.

Algorithms also classify settlements into categories like planned area Vs slums .

All this information helps to determine the prosperity level of different areas.

Analyze your business data with reference to different types of settlements and prosperity indexes.

Humanitarian Organizations to use this information to plan their activities and analyze respective data

Socio Eco Indicators

Deep Learning Algorithms Analyzes Satellite Imageries and collects other relevant data to estimate and classify an area into different socioeconomic classes.

All this information is crucial while analyzing area sales data, distribution data or any humanitarian activity related data.

Socio Economic Indicators would allow user to better understand product relationship with a product

Humanitarian Organizations can plan their activities well by understanding area demographics.

Disposable Income

Deep Learning Algorithms by analyzing prosperity of an area, knowing the number of households estimates possible Disposable Income of the selected area.

By knowing Disposable Income of an area, population size & number of households, business analysts can identify area potential for its products and services.

Disposable Income Indicators would allow the Humanitarian Organization to devise customized activities and plan well.