CARTO: AGS – Sociodemographics (Canada, Census Divisions)
Essential characteristics of population, households, dwellings, labor force, and income
This dataset covers the essential characteristics of population, households, dwellings, labor force, and income using a combination of the latest census information and updated household counts.
The spatial aggregation used in this dataset are the Census Divisions of Canada.
This dataset is curated and maintained by Applied Geographic Solutions (AGS), and its usage is subject to Applied Geographic Solutions end-user license agreement. More info: https://appliedgeographic.com/
– Employment rate
– Householders by age
– Household income
– Households by size
– Individual Income
– Number of households
– Population by age
– Population by age and gender
– Population by commute times
– Population by education level
– Population by ethnic group
– Population by gender
– Population by language
– Population by marital status
– Population by mother tongue
– Population by occupation
– Rent costs
– Total population
– Unemployment rate
You can check these datasets metadata and dictionary in CARTO’s Spatial Data Catalog
Example Use Case:
Enrich your customer data in Canada with a vast array of demographic variables projected to the current year, characterise the areas in which your most profitable customers live and look for similar areas in other parts of the territory so as to inform your site planning and site consolidation decisions. Plan your geomarketing campaigns by analysing the most recent and granular official census data in Canada.
About the Provider:
From smartphones to connected cars, location data is changing the way we live and the way we run businesses. Everything happens somewhere, but visualizing data to see where things are isn’t the same as understanding why they happen there. CARTO is the world’s leading Location Intelligence platform, enabling organizations to use spatial data and analysis for more efficient delivery routes, better behavioral marketing, strategic store placements, and much more.
Data Scientists, Developers and Analysts use CARTO to optimize business processes, and predict future outcomes through the power of Spatial Data Science.