Labour force characteristic estimates by age group, gender, and visible minority group.
Labour force characteristic estimates by visible minority group, region, age group, and gender.
Data on labour force status including employment, unemployment and labour force participation rates by visible minority, immigrant status and period of immigration, highest level of education, age and gender.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Workforce population showing representation by Employment Equity Occupational Groups and National Occupational Classification unit groups for women, Aboriginal peoples and visible minorities, 2021 Census
Employment estimates by class of worker, gender, and visible minority group.
Number of persons in the labour force (employment and unemployment) and unemployment rate, by North American Industry Classification System (NAICS), gender and age group.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.
This table provides statistical information about people in Canada by their demographic, social and economic characteristics as well as provide information about the housing units in which they live.
This series of cross-tabulations will present a portrait of Canada based on various census topics. They will range in complexity and will be available for various levels of geography. A number of the tabulations will be available on the day of release for each topic, while others will follow several months later. Content varies form a simple overview of the country, then move to more complex cross-tabulations and will include current and previous census data.
This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This data makes it possible to know the representation and employment of people from the target groups that are: women, aboriginal people, visible minorities, ethnic minorities and people with disabilities in the City of Montreal.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.
The Dimension Series provides a more in-depth analysis of census data. The publications employ large numbers of variables and address topics of special interest. They apply to Canada, the provinces and territories, with smaller sets of variables being used for smaller geographic units. Census variables are grouped into the following categories: counts and demographic data, ethnic origin, population group, place of birth, citizenship and immigration, language, Aboriginal peoples, schooling, household activities, labour force, income, families and households, housing, institutions and other collectives, as well as disability. The aggregate data tables are presented in Beyond 20/20 Format (.ivt).
The 2021 Hierarchical Census public use microdata file (PUMF) contains 149,789 private households with a total of 361,915 individual records, representing 1% of the population in private households in private occupied dwellings in Canada. These records were drawn from a sample of one quarter of the Canadian population (sample data from questionnaire 2A-L). The 2021 PUMF contains 101 variables. Of these, 80 variables, or 79%, come from the individual universe and 21 variables, or 21%, are drawn from the family, household and dwelling universes. In addition, the file contains four unique record identifiers (ID), an individual weighting factor and 16 replicate weights for the purpose of estimating sampling variability. The file does not include people living in institutions; Canadian citizens living temporarily in other countries; fulltime members of the Canadian Forces stationed outside Canada; persons living in institutional collective dwellings such as hospitals, nursing homes and penitentiaries; and persons living in non-institutional collective dwellings such as work camps, hotels and motels, and student residences.
According to a 2023 study, around 70 percent of cybersecurity professionals aged 60 or older in the United States, Canada, the United Kingdom, and Ireland were white men. The proportion of non-white men in this age group reached 15 percent, while the share of white and non-white women aged 60 or older was around 13 and two percent, respectively. On the other hand, non-white men constituted 40 percent of the cybersecurity workforce under 30, and the share of non-white women in this age group reached 18 percent.
The 2016 Census public use microdata file (PUMF) on individuals contains 930,421 records, representing 2.7% of the Canadian population. These records were drawn from a sample of one quarter of the Canadian population (sample data from questionnaire 2A-L). The 2016 PUMF contains 123 variables. Of these, 92 variables, or 75%, come from the individual universe and 31 variables, or 25%, are drawn from the family, household and dwelling universes. In addition, the file contains a unique record identifier (ID), an individual weighting factor and 16 replicate weights for the purpose of estimating sampling variability.
https://borealisdata.ca/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.5683/SP3/A7VRKAhttps://borealisdata.ca/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.5683/SP3/A7VRKA
The 1986 Census was the first mid-decade census to undertake detailed enumeration. Data on demographic, social and economic characteristics, as well as on dwellings, were collected from Canadians. The information is recorded on two data bases, the 100% data base and the 20% sample data base. The 100% data bases includes general demographic, dwelling and household data (for example: age, sex, marital status, mother tongue and structural type of dwelling) collected from the entire population. The 20% sample data base includes the general demographic data, detailed socio-economic data (for example: ethnic origin, labour force activity, schooling, income and dwellings information) collected from one-fifth of the population. The range of the 1986 Census products and services differs somewhat from the 1981 Census. The major changes are: A 40% reduction in the number of publications The replacement of the 1981 Census Summary Tapes program by the Basic Summary Cross-Tabulations Improvements in the Custom Tabulations Service The implementation of a new Semi-Custom product line Focus series is the aggregate statistics (multi-variate cross-tabulations) at census subdivision, census tract, and enumeration area levels. These 7 tables do not correspond to the print Focus series print publications. At present, EA-level tables are available on CD-ROM only.
Between 2019 and 2023, the proportion of racial minorities in the Canadian workforce of Toronto-Dominion Bank (TD Bank) grew, with increases across the total workforce, senior management, and middle management. As of October 2023, visible minorities represented 48.8 percent of the total workforce, marking an increase of more than six percentage points from the previous year. The share of minorities in senior management also rose, reaching 26.4 percent in 2023.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table provides statistical information about people in Canada by their demographic, social and economic characteristics as well as provide information about the housing units in which they live.
Labour force characteristic estimates by age group, gender, and visible minority group.