Published January 26, 2023 | Version 2.1.0
Dataset Open

Synthetic population for Canada at the DA level for 2016, 2021, 2023 and 2030.

  • 1. University of Leeds

Description

Synthetic populations of individuals and households at a fine geographical level (DA) for Canada for the years 2021, 2023 and 2030, according to various population growth scenarios. The synthetic populations are based on 2016 census data and population projections for 9 population growth scenarios. Each synthetic population is composed of individuals with detailed socio-demographic attributes, including age, sex, income, education, employment status and geographic locations, related into households.

Notes

Add index attribute (missing in v2.0.0)

Files

synpopCanada_dataset.zip

Files (9.6 GB)

Name Size Download all
md5:b9f4b9db45aed0169d1a86af77fa9298
9.6 GB Preview Download

Additional details

Funding

UK Research and Innovation
Responsible Automation for Inclusive Mobility (RAIM): Using AI to Develop Future Transport Systems that Meet the Needs of Ageing Populations ES/T012587/1