Canadian Municipal Barometer

Codebooks for recent Canadian Municipal Barometer surveys are available here (scroll to “Datasets and Codebooks”). To access these data, please make a request through the Local Democracy Lab. The Municipal Politicians and Municipal Electoral Institutions Dataset (described in this article with Elliot Dillabough) is available here. The Canadian Municipal Elections Database, containing candidate-level data on more than 40,000 distinct municipal elections in Canada, is available here. Datasets from the 2019-2023 Canadian Municipal Barometer partnership, including the CMB COVID-19 data resources, are available at our Dataverse.

Canadian Voting and Policy Attitudes

In the Canadian Voting and Policy Attitudes Project (CVAP), I am working with Tyler Romualdi, David Armstrong, and Elizabeth Goodyear-Grant to integrate vote intention, policy attitudes, and demographic variables in more than 500 surveys conducted in Canada from 1945-present. The CVAP R package is available here and the interactive shiny app is available here. Raw data for the first phase of the project are available at the Canadian Opinion Research Archive.

Researchers who are interested in policy attitudes and voting may also be interested in latent unidimensional ideology estimates created with Dave Armstrong; the individual-level ideology scores, together with MRP estimates of average ideological positions for municipalities and federal electoral districts in Canada, are available at this page.

Urban-Rural Divides and Place Types

Shapefiles and associated information on Canada’s federal electoral districts from 1867-present are available here. A research note explaining the files is available here. We are happy to share our urbanity scores for federal electoral districts with interested readers; once they are updated to include Canada’s new electoral districts, we will make them publicly available.

A typology of Canadian aggregate dissemination areas, developed with Sophie Borwein, is available here.

Other Resources

Miscellaneous additional resources are available on my Dataverse. I have also written an R package to easily estimate Bayesian factor analysis models and produce useful summary statistics; it is available here, and I’m happy to explain how to use the package to anyone who would like to use it, but it is (and is likely to remain) completely undocumented and unsupported, so…buyer beware!


By Jack Lucas. Based on Hugo Researcher