[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. Child age and sex. Geographies available: provinces, counties, municipalities, district health authorities, community health boards, economic regions, police districts, school boards, provincial electoral districts, regional development authorities.

Data tables on the social and economic conditions in Pre-Confederation Canada from the first census in 1665 to Confederation in 1867. This dataset is one of three that cover the history of the censuses in Quebec. These tables cover New France for the years 1676-1754. For census data for the years 1825-1861, see the Lower Canada dataset; for census data for the years 1765-1790, see the Province of Quebec dataset. The tables were transcribed from the fourth volume of the 1871 Census of Canada: Reprint of the Censuses of Canada, 1665-1871, available online from Statistics Canada, Canadiana, Government of Canada Publications, and the Internet Archive. Note on terminology: Due to the nature of some of the data sources, terminology may include language that is problematic and/or offensive to researchers. Certain vocabulary used to refer to racial, ethnic, religious and cultural groups is specific to the time period when the data were collected. When exploring or using these data do so in the context of historical thinking concepts – analyzing not only the content but asking questions of who shaped the content and why.

Canadian census data from 1871.

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

About this dataset

Context

The dataset tabulates the Canadian population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Canadian. The dataset can be utilized to understand the population distribution of Canadian by age. For example, using this dataset, we can identify the largest age group in Canadian.

Key observations

The largest age group in Canadian, TX was for the group of age 15 to 19 years years with a population of 277 (11.97%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Canadian, TX was the 80 to 84 years years with a population of 35 (1.51%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Canadian is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Canadian total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Canadian Population by Age. You can refer the same here

Here is a selection of map services from Statistics Canada displaying socio-economic variables as thematic maps, viewed by census subdivision. This selection covers the following themes: families and households, housing, education, language, income, immigration, aboriginal people, age and transport. Census subdivision (CSD) is the general term for municipalities (as determined by provincial/territorial legislation) or areas treated as municipal equivalents for statistical purposes (e.g., Indian reserves, Indian settlements and unorganized territories). Municipal status is defined by laws in effect in each province and territory in Canada. NOTE: Services by theme may not all be listed in the Related Products section below as they are added individually only once available for publication.

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

This table contains 47 series, with data for years 1931 - 1971 (not all combinations necessarily have data for all years), and was last released on 2012-02-16. This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Persons ...) Geography (1 items: Canada ...) Mother tongue (47 items: Total languages; English; French; Baltic languages ...).

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

The Geographic Attribute File (GAF) contains information at the dissemination block level, based Census standard geographic areas. The data available include population counts, dwelling counts, and land area. In addition, the Geographic Attribute File contains higher level standard geographic codes, names and, where applicable, types and classes. Data for higher level standard geographic areas can be derived by aggregating dissemination block level data. The dissemination area representative point coordinates are also included in the Geographic Attribute File.

[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 languages spoken. 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 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

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

The Data Portal on English-Speaking Quebec (DESQ) is a growing online database created by the Quebec English-Speaking Communities Research Network (QUESCREN) at Concordia University. DESQ stores custom statistical datasets related to English-speaking Quebec created for individual researchers or organizations. Most are drawn from Canadian census data but are unavailable on the Statistics Canada website. Datasets are available in three formats: The website is currently under development and all dataset formats listed here may not yet be available. All datasets on this site were created by Statistics Canada for third-party organizations. They are freely available via an open license from Statistics Canada and open-use licensing agreements with the third-party organizations. You are free to use, share, publish and freely distribute these tables as long as you provide an acknowledgement of source (e.g.: Statistics Canada, “name of product,” “reference date,” custom dataset created for “name of partner organization” by Statistics Canada. Reproduced and distributed on an as-is basis with the permission of Statistics Canada.) Producer of DESQ: Quebec English-Speaking Communities Research Network (QUESCREN) Project Management IT Consultant Project Consultant The Secrétariat aux relations avec les Québécois d’expression anglaise, Gouvernement du Quebec, funded this project. QUESCREN partner organizations originally obtained the datasets from Statistics Canada. We acknowledge their generosity in agreeing to make the data available to the public via DESQ, and the work of project consultant Jan Warnke in facilitating their availability. QUESCREN also receives funding from the Department of Canadian Heritage, the Canadian Institute for Research on Linguistic Minorities, and Concordia University.

This data set presents data from the 2021 population census shared by Statistics Canada to the City of Montreal as part of a data order carried out by the Department of Diversity and Social Inclusion. The Social Business Intelligence and Optimization Division of the Diversity and Social Inclusion Department also produced a series of thematic portraits, designed to provide a detailed and comprehensive view of various social dimensions within our community. Based on data from the 2021 census from Statistics Canada, they provide in-depth information at the level of the agglomeration, the city and each district. The themes addressed are: - Poverty - Immigration - Children (0 to 11 years old) - Young people (12 to 24 years old) - Children (0 to 11 years old) - Children (0 to 11 years old) - Children (0 to 11 years old) -youth-2021) - Seniors (65 years and over) - Activity limitations Important The data is available under the open license from Statistics Canada. For the terms of use, please consult the license available on the Statistics Canada site. When reusing data, it is important to cite the source (Statistics Canada 2021 Census) and to mention that the product is the result of a personalized order made by the City of Montreal.

This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for all Census Subdivisions in Canada.Census subdivision (CSD) is the general term for municipalities (as determined by provincial/territorial legislation) or areas treated as municipal equivalents for statistical purposes (e.g., Indian reserves, Indian settlements and unorganized territories).Processors and tools are using this data.EnhancementsAdded ISO 3166-3 codes.Simplify geometries to provide better performance across the services.

The Canadian Longitudinal Tract Database enables the spatial apportionment of Canadian census tract-level data from different census years to common geographic boundaries. This dataset contains the apportionment tables and associated documentation.

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 Digital Boundary Files series contains versions of all publicly available digital boundary files with shorelines harmonized, at five levels of Census geography. This documentation report describes the procedures used to create the files, as well as data sources and available file formats. Citation: Taylor, Zack and Christopher Macdonald Hewitt. 2022. "UNI·CEN Documentation Report 3: Digital Boundary Files.” London, Canada: Network for Economic and Social Trends, Western University. https://ir.lib.uwo.ca/nest_observatory_docs/2 Available at: https://ir.lib.uwo.ca/nest_observatory_docs/2

[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 education by major field of study and sex. This data is sourced from the Census of Population (long form). 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

These files from Statistics Canada present Census of Agriculture data allocated by standard census geographic polygons: Provinces and Territories (PR), Census Agricultural Regions (CAR), Census Divisions (CD) and Census Consolidated Subdivisions (CCS). Five datasets are provided: 1. Agricultural operation characteristics: includes information on farm type, operating arrangements, paid agricultural work and financial characteristics of the agricultural operation. 2. Land tenure and management practices: includes information on land use, land tenure, agricultural practices, land inputs, technologies used on the operation and the renewable energy production on the operation. 3. Crops: includes information on hay and field crops, vegetables (excluding greenhouse vegetables), fruits, berries, nuts, greenhouse productions and other crops. 4. Livestock, poultry and bees: includes information on livestock, poultry and bees. 5. Characteristics of farm operators: includes information on age, sex and the hours of works of farm operators. Note: For all the datasets, confidential values have been assigned a value of -1. Correction notice: On January 18, 2023, selected estimates have been corrected for selected variables in the following 2021 Census of Agriculture domains: Direct sales of agricultural products to consumers (Agricultural operations category), Succession plan for the agricultural operation (Agricultural operators category), and Renewable energy production (Use, tenure and practices category).