StatCan - Sociodemographics (Canada, Census Division, 2016)

Statistics Canada is the national statistical office. The agency ensures Canadians have the key information on Canada's economy, society and environment that they require to function effectively as citizens and decision-makers. The data is aggregated at the Census Division level.

• Population, 2016
• Population, 2011
• Population by age and gender
• Number of dwellings
• Households by type
• Number of households
• Households by occupancy
• Average household size
• Marital status by age and gender
• Families by type
• Household tenure
• Condominium status
• Dwellings by number of bedrooms
• Suitability
• Dwellings by construction period
• Dwellings by condition
• Households by number of maintainers
• Age of primary maintainers
• Households by shelter-to-income ratio
• Percentage of households with a mortgage
• Shelter costs
• Value of dwellings

You can check these datasets metadata and dictionary in CARTO’s Spatial Data Catalog: https://carto.com/spatial-data-catalog/browser/dataset/can_sociodemogr_469bb6fb/ 

CPG firms and other companies select pop-up sites by using demographic data to identify where target segments may live and work, allowing them to reduce the risk of a poor site decision. By looking at age, gender, rental price data and living conditions, companies can identify ideal locations based on the target audience of the product potentially being sold at the pop up site.

This dataset is provided “AS IS” without any warranty, express or implied from CARTO. CARTO disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

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.