The Esri Demographic Statistics and Trends dataset is used to show population and household statistical trends over time. This Esri Advanced Demographics dataset for Canada is sourced from data supplied by Environics Analytics.
The Demographic Statistics and Trends 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 2024 and projects values from 2025 to 2044.
When analyzing demographic trends, consider the differences between Demographic Statistics and Trends (DemoStats Trends) and Demographic Statistics (DemoStats) based on your business objectives:
| Value | DemoStats Trends | DemoStats |
|---|---|---|
Variables | 427 | 2,598 |
Historical Years | 2016-2024 | 2019, 2024 |
Projected Years | 2025-2044 | 2026, 2028, 2033 |
Base Geography | Dissemination area (DA) | DA and postal code |
Data source
Release: | November 2024. |
Data Vintage: | 2024 |
Data: | Data is provided by Environics Analytics. |
Base Level Geography: | Dissemination area. |
Geography levels
Demographic Statistics and Trends variables are available at the dissemination area (DA) level and all higher levels of geography.
Demographic Statistics and Trends documents
Refer to the following reference documents:
Example 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 easy comparisons of changes in multiple markets over many years. DemoStats and DemoStats Trends can be used together for a comprehensive demographic analysis.
Example Demographic Statistics and Trends use cases include:
 | 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. |