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

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.

The 2021 Census Boundary Files depict the boundaries of all standard geographic areas established for the purpose of disseminating census data. They contain information such as unique identifier (UID), name and type where applicable, as well as land area and province or territory unique identifier (PRUID). Each boundary file can be linked to all higher level geographic areas using its DGUID and the new 2021 Dissemination Geographies Relationship File. They are available for download or viewing in two types: cartographic and digital. Both cartographic and digital boundary files are portrayed in Lambert conformal conic projection (North American Datum of 1983 [NAD83]). The purpose of the 2021 Census Boundary Files is to provide a framework for mapping and spatial analysis, and to support Geographic Information System (GIS) applications used for land use and demographic studies, or social, economic and market research. Geographic unique identifiers permit linkage of statistical data to geographic areas depicted in the boundary files. Boundary files can also be used to create new geographic areas by combining standard geographic areas. The boundary files are positionally consistent with the 2021 Road Network File, which provides additional reference for geographic context for mapping applications. Each 2021 Census Boundary File contains the UID, DGUID, name and type where applicable, and land area of the geographic level the file represents. It also contains the PRUID. A 2021 Census Boundary File is available for each of the following geographic areas: • Provinces and territories (PRs) • Census divisions (CDs) • Federal electoral districts (2013 Representation Order) (FEDs) • Census subdivisions (CSDs) • Designated places (DPLs) • Economic regions (ERs) • Census agricultural regions (CARs) • Census consolidated subdivisions (CCSs) • Census metropolitan areas and census agglomerations (CMA/CAs) • Census tracts (CTs) • Population centres (POPCTRs) • Dissemination areas (DAs) • Dissemination blocks (DBs) • Aggregate dissemination areas (ADAs) • Census Forward Sortation Areas© (CFSAs©) • Population Ecumene

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.

OCUL’s Historical Census Working Group (part of the OCUL Data Community) is working on scoping a comprehensive bilingual inventory of Canadian census data. Our dream is to eventually build a bilingual and openly available discovery platform for census data & statistical tables (print & digital) going back to the earliest Canadian censuses. This presentation will provide a status update on the project and dedicate time for attendees to discuss the project and provide input.

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.

The 1881 Canadian census database is a 100% sample of the 1881 Canadian census, including 4.3 million cases. Since this database covers the entire enumerated Canadian population in 1881, it is one of our most important resources for the study of social and economic organization during Canada 's formative period.

Reference maps illustrate the location of census standard geographic areas for which census statistical data are tabulated and disseminated. The maps display the boundaries, names and unique identifiers of standard geographic areas, as well as physical features such as streets, railroads, coastlines, rivers and lakes. Reference maps include: Standard Geographical Classification (SGC) Census tracts Federal electoral districts

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 Lower Canada 1825-1861. For census data for the years 1765-1790, see the Province of Quebec dataset; for census data for the years 1676-1754, see the New France 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.

Statistics Canada, in collaboration with the Public Health Agency of Canada and Natural Resources Canada, is presenting selected Census data to help inform Canadians on the public health risk of the COVID-19 pandemic and to be used for modelling analysis.The data provided here show the population counts and percentage distribution for various geographic levels by broad age groups, males, females and both sexes, from the 2016 Census.

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

Aggregate data files digitized from the published census volumes for 1921. The files were downloaded from the University of Saskatchewan Historical Geographic Information Systems Lab. This data were developed as part of the The Canadian Peoples / Les populations canadiennes Project.

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.

CCRI Selected Published Tables Data Files: For each census from 1911-1951, a series of published volumes and tables were produced by the Dominion of Canada’s statistical agency. From those published books, the CCRI made a selection of 23 tables which contain information regarding particular topics such as: population (male and female counts), number of dwellings, households and families, as well as religion and origin of the people. For 1931, selected tables from published volumes (2 & 5) included: Population, Canadian, British and Foreign born, classified by sex, for municipalities, townships or other subdivisions, 1931 Population classified according to principal origins for municipalities, etc., 1931 Population classified according to principal religions for municipalities, etc., 1931 Buildings (containing dwellings), dwellings and households, classified as rural and urban, for counties and census divisions, 1931

Families of tax filers; Census families with children by age of children and children by age groups (final T1 Family File; T1FF).

Text-based data collected from Statistics Canada was used to create a union list of born-digital products from the Canadian Census of Population, starting with the 1961 Census. This union list indicates where the census files are located in Canada (for example, the University of Toronto Data Library) and what they contain. The data is stored in a database and accessible through an online search engine .

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.

This downloadable data product includes the federal boundary files from previous census years. Data included are the historical boundary files of the year indicated and should not be considered the most recent official boundaries. Layers in each geodatabase include Economic Regions, Census Divisions, Census Subdivisions, Census Metropolitan Areas and Census Agglomerations, Census Tracts, and Disseminations. Current years for the historical dataset include 1996, 2001, 2006, 2011, and 2016. This information is adapted from Statistics Canada, Boundary files in their respective years. This does not constitute an endorsement by Statistics Canada of this product.

“Ecumene” is a term used by geographers, meaning “inhabited lands.” Populated places in the ecumene database are referenced using natural boundaries, as opposed to administrative or census boundaries, and provide a more suitable means for integrating socio-economic data with ecological and environmental data in a region. The Canadian Ecumene GeoDatabase 3.0 includes the custom boundaries for more than 3,000 populated areas across Canada, many of which were derived from remote-sensing “night-lights” imagery. Each ecumene place has a corresponding set of attributes pertaining to place name, province, ecozone, indigenous communities, and other descriptive information, as well as an initial custom set of demographic variables derived from Statistics Canada Census and National Household Survey data for 2001, 2006, 2011 and 2016. A number of additional layers are also included that map the extents of Canada's ecumene in alternate ways, using transportation and utility networks, nightlights imagery, and population density. (NOTE: In the list below, the V2 Shape, KML, and TIFF files have not changed for the CanEcumene 3.0) Provided layer: The Canadian Ecumene (CanEcumene) 3.0 GIS Database ============================================================================================ Database Citation (Update): Eddy, B.G., Muggridge, M., LeBlanc, R., Osmond, J., Kean, C., and Boyd, E. 2023. The CanEcumene 3.0 GIS Database. Federal Geospatial Platform (FGP), Natural Resources Canada. https://open.canada.ca Methods Publication Citation: Eddy B, Muggridge M, LeBlanc R, Osmond J, Kean C, Boyd E (2020) An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada’s Forest Ecumene. One Ecosystem 5: e55881. https://doi.org/10.3897/oneeco.5.e55881

Annual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and sex, based on the Standard Geographical Classification (SGC) 2016.