Key Adult Populations Immunization Coverage Survey (KAPICS) : Perceptions, facilitators, and barriers

Interactive data visualizations on knowledge, attitudes, and beliefs (KAB) regarding adult vaccination in Canada.

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Vaccine hesitancy is reluctance or refusal to accept vaccines that healthcare providers recommend.

Use the charts on this page to learn about vaccine perceptions and hesitancy and what makes it easier or harder to get vaccinated.

On this page

Knowledge, attitudes and beliefs towards vaccination

Key observations

We separated people’s perception of all vaccines from COVID-19 and flu vaccines specifically.

Figure 1: Perceptions of vaccines among the ,

Figure 1 and its data table will update based on your dropdown selection. Interact with the bars in the visualization for more detailed information. Use the "Download data (.csv)" button to download all of the data used in this figure.

Interact with the visualization to view more detailed information that will help you interpret the data.

Data source: Key Adult Populations Immunization Coverage Survey (KAPICS), 2025; Vulnerable and Hard-to-reach Populations COVID-19 Immunization Coverage Survey (VHCICS), 2023 and 2024

Figure 1: Text description
Figure 1: Notes
  • We based vaccination coverage estimates on survey data from:
    • 2023 (January 9 and February 23, 2023, n = 5,703)
    • 2024 (January 11 to March 3, 2024, n = 5,862)
    • 2025 (February 19 to March 23, 2025, and May 1 to July 3, 2025, n = 5,754)
  • We could not set quotas when targeting four populations: health care workers, industry workers, transportation workers and people who use drugs. As a result, we collected data for these populations through a pattern of naturally occurring characteristics that emerge within the general population.
  • Populations are not mutually exclusive. Respondents can fall into multiple populations. For example, a respondent can be part of the young adults population as well as the industry workers population, or part of the transportation workers and rural or remote communities populations.
  • In 2025, we didn’t capture health care workers, industry workers and transportation workers populations in the survey. The urban Indigenous population was reframed as “Indigenous.”
  • In 2024 and 2025, agreement with statements included “strongly agree” and “somewhat agree” responses. Disagreement with statements included “somewhat disagree” and “strongly disagree” responses. Respondents could also select "I prefer not to answer." Due to the small proportion of responses, we didn’t include the results for this response.

Facilitators and barriers towards COVID-19 vaccination

Key observations

Figure 2: reported among the ,

Figure 2 and its data table will update based on your dropdown selections. Interact with the bars in the visualization for more detailed information. Use the "Download data (.csv)" button to download all of the data used in this figure.

Interact with the visualization to view more detailed information that will help you interpret the data.

Data source: Key Adult Populations Immunization Coverage Survey (KAPICS), 2025; Vulnerable and Hard-to-reach Populations COVID-19 Immunization Coverage Survey (VHCICS), 2023 and 2024

Figure 2: Text description
  • *: Estimates with unweighted base size (denominator) of less than 30 should be interpreted with caution. This is due to the increased coefficient of variation and, hence, there are larger confidence intervals around results with smaller bases.
Figure 2: Notes
  • We based vaccination coverage estimates on survey data from:
    • 2023 (January 9 to February 23, 2023, n = 5,703)
    • 2024 (January 11 to March 3, 2024, n = 5,862)
    • 2025 (February 19 to March 23, 2025 and May 1 to July 3, 2025, n = 5,754)
  • We could not set quotas when targeting four populations: health care workers, industry workers, transportation workers and people who use drugs. As a result, we collected data for these populations through a pattern of naturally occurring characteristics that emerge within the general population.
  • Populations are not mutually exclusive. Respondents can fall into multiple populations. For example, a respondent can be part of the young adults population as well as the industry workers population, or part of the transportation workers and rural or remote communities populations.
  • In 2025, we didn’t capture health care workers, industry workers and transportation workers populations in the survey. The urban Indigenous population was reframed as “Indigenous.”

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