GapMaps Demographic Data in India
Comprehensive and Granular Global Demographic DataGapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic datasets across Australia, India, South East Asia, Saudi Arabia and North America.
Demographic datasets including the latest estimates on resident and worker populations, census metrics, consuming class and retail spend data are updated annually and available at small grid levels (eg. 150m x 150m) which is essential for location planning feasibility assessments in each region.
Understand who lives in a catchment, where they work and their spending potential so you can make more informed location planning decisions and run targeted marketing campaigns globally.
Datasets trusted by some of the world’s biggest brands to make site selection decisions
Globally consistent demographic datasets
Access to global, high quality demographic datasets across Asia and the Middle East has historically been challenging for brands looking to make location decisions in these regions. GapMaps provides globally consistent demographic data at small area grid levels so you can assess the potential of a market, not only in the major cities, but in local suburbs and regions.
Our demographic datasets include:
Census Estimates
GapMaps provides the latest estimates on Census demographic metrics such as population size, age profile, languages spoken at home, education status, occupation summary and other key statistics. See the table below for the full list of demographic attributes available in each country.
Worker (Daytime) Population Estimates
GapMaps uses mobile device data to determine daytime worker populations at small grid levels (excluding devices that have the same daytime and evening location such as home workers, stay at home parents, shops connected to dwellings).
Consuming Class Data
Consuming class data identifies those persons able to buy non-essential goods and services other than those that satisfy their basic needs. GapMaps provides consuming class estimates at a city or district level down to grid level which is shown to be highly correlated with store sales for the majority of brands we work with.
Retail Spending Data
GapMaps utilises available government data sources and mobile device data to provide retail spending estimates including total spend per capita and spend breakdown across a number of categories including Food & Beverage, Supermarket/Groceries, Apparel, and more.
GapMaps Data Shopfront
You can browse the complete range of GapMaps data products and pricing in our GapMaps Data Products Shopfront. Filter by country or category to quickly find the data you need.
Access directly in AWS
If you have an AWS account, you can access GapMaps Demographic data directly through the AWS Data Exchange, your one-stop-shop to securely find, subscribe to, and use third-party data in the cloud charged to your AWS bill.
Summary of global demographic datasets
150m x 150m grids (Top 30 cities) Outside of cities: 1km x 1km grids
2023
2023
2023
2023
150m x 150m grids (Top 65 cities) Outside of cities: 1km x 1km grids
2022
Education
2022
(Cities with 50k+ residents)
2022
(SEC A + B)
2022
150m x 150m grids (Tier 1, 2, 3 cities) Outside of cities: 1km x 1km grids
2023
2023
2023
2023
150m x 150m grids Outside of cities: 1km x 1km grids
2023
2023
(Tier 1-3 cities)
2023
Population Estimates (2022)
Historic Population (2011-2022)
Forecast Population-SA2 Level
(2023-2036)
Age Projections-SA2 Level
(2023-2036)
2021
(Workers, Worker Occupation, Count of Businesses)
SA2 Level
Population (2020 Census)
Population Estimates (Current Year)
Forecast Population
(5 years)
Population* (eg. Age, Sex, Race, Marital Status), Labour Force*, Households*, Income*, Dwellings*, Non-resident population (overnight tourists), Consumer Expenditures*, Daytime Demographics, Retail Potential & Gap*, Environmental Risk, Crime Risk*, Panaroma Can Am segmentation.
2021
Population (eg. age, sex, age by sex), Labour Force, Households, Income, Dwellings, Panorama Can Am segmentation, Consumer Expenditures, Household Wealth
150m x 150m grids Outside of cities: 1km x 1km grids
(major cities)
2022
2022
2022
2022
*Five year projections available
