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 advanced 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 estimated counts from 2016 to 2025 and projects values from 2026 to 2045.

Release dates

The DemoStats Trends dataset was updated in October 2025; the vintage is 2025.

Base level geography

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:

ValueDemoStats TrendsDemoStats

Variables

441

2,598

Historical Years

2016-2025

2020

Projected Years

2026-2045

2028, 2030, 2035

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 three, five, and ten 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: