The data package provides demographics for Canadian population groups according to multiple location categories: Forward Sortation Areas (FSAs), Census Metropolitan Areas (CMAs) and Census Agglomerations (CAs), Federal Electoral Districts (FEDs), Health Regions (HRs) and provinces.

Content

Canada's 2021 Census Data: Population, Private Dwelling Count, and more! For Provides, Territories Census Divisions and Census Subdivisions. Explore Canada's Wonderful populations centres! Which cities are booming? Which cities are Busting?

Acknowledgements

Data retrieved from: Statistics Canada. 2022.Census Profile. 2021 Census. Statistics Canada Catalogue no. 98 - 316 - X2021001.Ottawa.Released February 9, 2022. https://www12.statcan.gc.ca/census-recensement/2021/dp-pd/prof/index.cfm?Lang=E

Replication files (syntax) and data from: Intergenerational mobility in a mid-Atlantic economy: Canada,1871-1901.

Early Postwar Canadian Census Data Creation Project Files. Contains digitized census tract boundary files and associated tabular data, with codebooks, for Census years 1951, 1956, 1961, and 1966.

Canadian census data from 1871.

This presentation seeks to build on the in-depth, collective expertise of the DLI community, and will also provide a brief update on the project. As key stakeholders implicated in the proposed Canadian Census data discovery portal, this DLI community discussion will provide valuable insights across a range of structured questions about what makes for good Census data discovery. Thanks to the knowledge of the DLI community in terms of Census end-users, Census data and documentation, together with their access portals and uses, the feedback from this presentation will make a valuable contribution to the project and will help guide the development of Canadian Census data discovery portal proof-of concept.

The Census Program Data Viewer (CPDV) is an advanced web-based data visualization tool that helps make statistical information more interpretable by presenting key indicators in a statistical dashboard. It also enables users to easily compare indicator values and identify relationships between indicators.

Analysis unit

Persons Persons not organized into households

UNITS IDENTIFIED: - Dwellings: no - Vacant Units: no - Households: no - Individuals: yes - Group quarters: no

UNIT DESCRIPTIONS: - Dwellings: A dwelling is a separate set of living quarterwith a private entrace from outside or from a common hallway or stairway inside the building. This entrance must not be through someone else's living quarters. - Households: Refers to a person or group of persons (other than foreign residents) who occupy a dwelling and do not have a usual place of residence elsewhere in Canada. It usually consists of a family group with or without other non-family persons, of two or more families sharing a dwelling, of a group of unrelated persons, or of one person living alone. Household members who are temporarily absent on Census Day (e.g., temporary residents elsewhere) are considered as part of their usual household. For census purpose, every person is a member of one and only one household. - Group quarters: no

Universe

Canadian citizens and landed immigrants having a usual place of residence in Canada or residing aroad, on a military base or on a diplomatic mission. The file also includes data on non-permanent residents of Canada. The inclusion of non-permanent residents in the population universe of the 1991 Census marks a change from previous census coverage. The file excludes institutional residents, residents of partial refusal Indian reserves or Indian settlements, and foreign residents, namely foreign diplomats, members of the armed forces of another country who are stationed in Canada, and resdients of another country who are visiting Canada temporarily.

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Statistics Canada

SAMPLE SIZE (person records): 809654.

SAMPLE DESIGN: (a) Systematic sample of every 5th household with a random start was given a long form. (b) The long form sample was then stratified within each georgraphic region. (c) The final sample was selected systematically using a sampling interval of 100/9, with a random start between 0 and the sampling interval. The sample size is equal to 3% of the target population.

Mode of data collection

Face-to-face [f2f]

Research instrument

The long form which requested information about dwellings, households and individuals.

This table presents the 2021 and 2016 population and dwelling counts, land area, population density and population ranking for census metropolitan areas or census agglomerations. It also shows the percentage change in the population and dwelling counts between 2016 and 2021.

[ARCHIVED] Community Counts data is retained for archival purposes only, such as research, reference and record-keeping. This data has not been maintained or updated. Users looking for the latest information should refer to Statistics Canada’s Census Program (https://www12.statcan.gc.ca/census-recensement/index-eng.cfm?MM=1) for the latest data, including detailed results about Nova Scotia. This table reports the presence of children in private households. This data is sourced from the Census of Population. Geographies available: provinces, counties, communities, municipalities, district health authorities, community health boards, economic regions, police districts, school boards, municipal electoral districts, provincial electoral districts, federal electoral districts, regional development authorities, watersheds

The Unified Infrastructure for Canadian Census Research, or UNI·CEN, is a comprehensive database of historical and contemporary Canadian aggregate Census data, digital boundary files, and ancillary material, all provided in modern data formats. The goal of the project is to liberate Canadian Census data so that it can be easily used by academic researchers, students, and the public. The UNI·CEN Standardized Census Data Tables series contains reformatted versions of all publicly available digital Census data. This documentation report describes the data sources, tabular formats, and file types used. Citation: Taylor, Zack. 2022. "UNI·CEN Documentation Report 2: Standardized Census Data Tables.” London, Canada: Network for Economic and Social Trends, Western University. https://ir.lib.uwo.ca/nest_observatory_docs/3 Available at: https://ir.lib.uwo.ca/nest_observatory_docs/3

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: Any structure which provides shelter for a human being is a house. It need not be a house in the usual sense of the word, but may be a room in a factory, a store or office building, a railway car, or the like. - Households: A household may include all persons in a housekeeping community, whether related by ties of blood or not, but usually with one of their number occupying the position of head. All the occupants and employees of a hotel or lodging house, if that is their usual place of abode, make up for Census purposes a single household. - Group quarters: An institution household includes such establishments as hospitals, poorhouses, asylums for the insane, prisons, penitentiaries, schools of learning, military barracks, homes for the aged, homes of refuge, etc.

Universe

The population legally domiciled within the territory, including temporarily absent persons

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Department of Agriculture, Census Branch

SAMPLE SIZE (person records): 264686.

SAMPLE DESIGN: Cluster samples of individual records, with the dwelling as the cluster, drawn by data producers. For more information, see data producer

Mode of data collection

Face-to-face [f2f]

Research instrument

Single household enumeration form

The 2021 Canadian Census of Population Profile exercise can be used to practice retrieving data in Statistics Canada's online census profile interface, and to introduce some basic census data literacy concepts.

The dataset is based on Statistics Canada census data spanning four census periods (2001, 2006, 2016, and 2021). The dataset captures population statistics disaggregated by ethnicity at the Dissemination Area (DA) level—the smallest standard geographic unit for census data dissemination, covering approximately 400-700 people per unit. For Toronto, this encompasses approximately 3,700 DAs, providing high spatial resolution for analyzing urban dynamics. The dataset includes detailed population counts for the five largest ethnic groups in Toronto: China, India, Philippines, Portugal, and Sri Lanka. The features are also extracted from census datasets and 298 socioeconomic and demographic features from the census data, organized into 12 categories:Demographics: Population age structure, household composition, and family sizeHousing: Dwelling types, ownership status, housing values, and maintenance needsFamily Structure: Marriage patterns, presence of children, household typesIncome: Median household and individual income, income sourcesEmployment: Labor force participation, employment/unemployment ratesMobility & Migration: Internal and external migration patterns, non-permanent residentsVisible Minorities: Population distribution by visible minority statusLanguage: Official language use, mother tongue, and multilingual capabilitiesOccupation: Employment categories across economic sectorsReligion: Religious affiliations and practicesIndustry: Distribution across industry sectorsPlace of Birth: Country of origin information

This presentation, offered by the Montreal Data Service Center, will provide a brief overview of the new features related to the concepts and variables of the 2021 Census as well as the various products available such as data tables, profiles, visualization tools, analyses, guides, etc. A demonstration on the census program webpage will also be included to teach participants how to effectively find and use census data. Presented by: Thérèse Nguyen (Statistics Canada) Samuel Dupéré (Statistics Canada)

This table presents the 2021 population and dwelling counts, land area and population density for dissemination areas by a selected province or territory.

Data on immigrant status and period of immigration by place of birth, age and gender for the population in private households in Canada, provinces and territories, census divisions and census subdivisions.

This data collection contains seven files of Canadian census and election data, each corresponding to a particular electoral period when the number of constituencies was fixed. The data files include returns from the federal elections of 1908 and 1911 and data from the 1911 Census (Part 1), the elections of 1917 and 1921 and the 1921 Census (Part 2), the elections of 1925, 1926, and 1930 (Part 3), the elections of 1935, 1940, and 1945 (Part 4), the election of 1949 and the 1951 Census (Part 5), the elections of 1957, 1958, 1962, 1963, and 1965 and the 1961 Census (Part 6), and the election of 1968 (Part 7). The election data include information on the total valid vote cast and the percentage of the total vote received by each of the major parties, including the Conservative, Liberal, Socialist, Labor, Independent, Progressive, CCF, Social Credit, NDP, and Creditiste parties, as well as a total for all other parties. The census data provide demographic information on religion, including Anglican, Baptist, Jewish, Lutheran, Presbyterian, Roman Catholic, United Church, and other denominational sects, and ethnic origin, including British, French, German, Italian, Scandinavian, Russian, Polish, Asiatic, Native, and others, as well as information on age, education, occupation, and income from the 1961 Census.

Historical Census data (2006, 2011, 2016 and 2021) on highest certificate, diploma or degree of visible minority groups, including percentages.

The Unified Infrastructure for Canadian Census Research, or UNI·CEN, is a comprehensive database of historical and contemporary Canadian aggregate Census data, digital boundary files, and ancillary material, all provided in modern data formats. The goal of the project is to liberate Canadian Census data so that it can be easily used by academic researchers, students, and the public. The documentation describes the processes used to digitize the 1951, 1956, 1961, and 1966 Census Tract boundaries and associated datasets. Citation: Taylor, Zack and Christopher Macdonald Hewitt. 2022. "UNI·CEN Documentation Report 4: Early Postwar Census Tract Digitization Project.” London, Canada: Network for Economic and Social Trends, Western University. https://ir.lib.uwo.ca/nest_observatory_docs/1 Available at: https://ir.lib.uwo.ca/nest_observatory_docs/1