GapMaps Demographics Data

Comprehensive and Granular Global Demographics Data
GapMaps 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 such as resident and worker population estimates, census demographics variables, consuming class and retail spend data are updated annually and available at small area grid levels in each region which is essential for location planning feasibility assessments. 

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 demographics 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 demographics data updated annually across a range of geographic levels including nationwide, statewide, census-block, city/ district and 150 metre grid levels in most regions so you can complete local or global analysis. 

Our Datasets include:

Census Demographics Data

 

GapMaps provides granular and up-to-date Census demographics data 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 Data

 

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 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.

Access directly in AWS

 

Access GapMaps Demographics data directly through the AWS Marketplace, your one-stop-shop to find, compare, and immediately start using software and services that run on AWS charged to your AWS bill.

Summary of global demographics datasets

Country
Country
Indonesia
India
Malaysia
Saudi Arabia
Australia
USA
Canada
Singapore
Geographic Area
Geographic Area
- State Level
- Desa Level
- Micro Level
(150m x 150m Top 30 cities)
- District / Taluk Level
- Ward / Village Level
- Micro Level
(150m x 150m - Top 65 cities)
- Mukim Level
- Micro Level
(150m x 150m - Tier 1, 2, 3 cities)
- State Level
- Micro Level
(100m x 100m)
- Mesh Block Level
- Suburb Level
- SA2 Level
- SA1 Level
- Country Level
- Sub zone
- Micro (150m x 150m)
Summary of Data / Variables
Population

2021

2022

2021

2022

Population Estimates (2022)


Historic Population (2011-2022)


Forecast Population
(2022 - 2036)


Population (2020)


Population Estimates (Current Year)


Forecast Population
(5 years)


2021

2022
Summary of Data / Variables
Demographics
2021 Estimates (based on 2020 Census): Age Profile, Language spoken at home, Education Status, Occupation Summary, Highest Level of Education
2011 Census Metrics: Age Profile (0-6, 7+), Scheduled Caste / Tribes, Literacy, Employment/
Education
2021 Metrics (based on 2020 Census): Sex, Age Summary, Age Profile (5 year bands), Ethnicity
2020 Census Metrics: Population, Population by sex, Median age by sex, Household size, residential dwellings by type
2021 Census Metrics: Age, Income, Occupation, Place of Birth, Students, Household Size, Dwelling Tenure, Dwelling Structure, Family Composition, No. Motor Vehicles, Monthly Mortgage, Weekly Rental, Number of Bedrooms, SEIFA
2020 Census Metrics:

Base package: 46 variables across 7 categories including Population*, Labour Force*, Households*, Income*, Dwelling, Daytime Demographics, Consumer Expenditures*.

Premium package: 66 variables across 11 categories including Population*, Non-Resident population, Labour Force*, Households*, Income*, Dwellings*, Daytime Demographics, Consumer Expenditures*, Retail Potential & Gap*, Environmental, Crime Risk*, Panorama Segmentation.

2021 Estimates-

Base Package: 34 variables across 5 categories including Population, Labour Force, Households, Income, Dwellings.

Premium Package: 47 variables across 8 categories including Population, Labour Force, Households, Income Dwellings, Panorama Segmentation, Consumer Expenditures, Household Wealth.

2020 Census Metrics: Residents by housing/visa type, age profile, ethnicity, income, language spoken at home, education level, students (Residents only)
Summary of Data / Variables
Worker (Daytime) Population

2021

2022
(Cities with 50k+ residents)

2021

2022
(Tier 1-3 cities)

2021

2022
Summary of Data / Variables
Consuming Class

2021

2022
(SEC A + B)

2021

2022
Summary of Data / Variables
Retail Spend Data

2021

2022

2021

2022

2022

*Current and five year projections available for some variables