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DemoStats Trends

Esri provides a DemoStats Trends advanced demographics dataset for Canada sourced from data supplied by Environics Analytics. Visit Where to find ArcGIS Data to learn more about using Esri Demographics.

The DemoStats Trends (or demographic statistics and trends) dataset is used to show population, household, and income statistical trends over time. This dataset consists of estimated and projected household counts, household population, population, household income, and household average income. The dataset provides historical data for the years 2016 to 2025 and projected, or forecasted, values for the years 2026 to 2046.

Release dates

The DemoStats Trends dataset was updated in June 2026; the vintage is 2026.

Location accuracy

DemoStats Trends variables are available at the dissemination area (DA) level and all higher levels of geography.

Compare demographic statistics to trends

When analyzing demographic trends, consider the differences between DemoStats Trends and DemoStats based on your business objectives:

Value DemoStats Trends DemoStats
Variables 455 2,598
Historical Years 2016-2025 2021
Projected Years 2026-2046 2029, 2031, 2036
Base Geography Dissemination area (DA) DA and postal code

Sample questions and use cases

Using DemoStats Trends in a demographic analysis provides added insight into the increase or decline of particular demographic variables in single-year increments. The dataset also provides percent change values for year over year as well as historical to current year and current year to 3-, 5-, and 10-year projections, allowing comparisons of changes in multiple markets over many years. DemoStats and DemoStats Trends can be used together for a comprehensive demographic analysis.

Example DemoStats Trends use cases include the following:

A demographic trend analysis graph can indicate how data evolves over time.

The areas in which you do business change over time. A demographic trend analysis using DemoStats Trends variables can show you how population and household counts and income values are expected to evolve in trade areas over time. This insight helps organizations plan short- and long-term development projects, staffing, and programming.

Related links

Refer to the following content:

  • See the Related links section in the Canada topic for Esri's supporting documentation.

  • See the Environics Analytics CensusPlus and DemoStats article for more information from the data source.