Demographic Divides: Where to Start

The CVPA dataset has more than 600 policy questions, each of which can be broken down by gender, age, education, language, region, religion, union membership, and community size. If you’re interested in one of these groups and aren’t sure where to begin, the questions below offer some good starting points for exploration.

These questions work well alongside our interactive app, which lets you explore long-term changes in policy attitudes and voting without writing any code. In the app, you choose a policy domain first and then an issue within it. For each question below we give both, in the form Domain → Issue.

We also give each question’s code (which you can look up on the Data page or pass to the R package), the years it’s available, and a hint about what to look for. We leave the findings for you to discover!

Gender

Comparing women and men.

Age

Comparing respondents aged 18–29 with those aged 50 and over.

Education

Comparing respondents with and without a university degree.

Language

Comparing French and English speakers.

Region

Compare the five main regions (Atlantic, Quebec, Ontario, Prairies, and British Columbia).

Religion

Comparing respondents with no religion and Catholics and Protestants combined. Religion is available up to 2024 but not in the 2026 Bridge Survey.

Union membership

Comparing respondents with and without a union member in their household.

Community size

Comparing respondents in communities of more than 100,000 people with those in smaller communities. Community size is available up to 2022 but not in the 2026 Bridge Survey.

Next steps

To compute these gaps yourself and plot how they changed, see CVPA R Package: Getting Started. Pass any of the question codes above to question_data(), and the group variable to wtd_response().