An Introduction to Statistics Canada
Census Data
Data & Social Science Librarian
University of Manitoba Libraries
Area consisting of one or more neighbouring municipalities situated around a core. A census metropolitan area must have a total population of at least 100,000 of which 50,000 or more live in the core. A census agglomeration must have a core population of at least 10,000.
Census tracts (CTs) are small, relatively stable geographic areas that usually have a population between 2,500 and 8,000 persons. They are located in census metropolitan areas and in census agglomerations that had a core population of 50,000 or more in the previous census.
Area that is a municipality or an area that is deemed to be equivalent to a municipality for statistical reporting purposes (e.g., as an Indigenous reservations or an unorganized territory). Municipal status is defined by laws in effect in each province and territory in Canada.
Small area composed of one or more neighbouring blocks, with a population of 400 to 700 persons. All of Canada is divided into dissemination areas.
An area equivalent to a city block bounded by intersecting streets. These areas cover all of Canada.
A quick note on Postal Codes:
Find everything from federal census data, to provincial data, to local district data.
In the study of survey and census data, microdata is information at the level of individual respondents.
Census results are most commonly published as aggregates both for privacy reasons and because of the large quantities of data involved; microdata for one census can easily contain millions of records, each with several dozen data items.
Summarizing results to an aggregate level results in information loss. For instance, if statistics for education and employment are aggregated separately, they cannot be used to explore a relationship between them. Access to microdata allows researchers much more freedom to investigate such interactions and perform detailed analysis.
Microdata analysis requires a well developed understanding of statistics and the software that you're using.
Common software choices for analyzing microdata:
<odesi> (Ontario Data Documentation, Extraction Service and Infrastructure) is a digital repository for social science data, including polling data. It is a web-based data exploration, extraction and analysis tool. It provides researchers the ability to search for variables across thousands of datasets. There are both microdata and aggregate data available, in a range of formats.
Nesstar is a web-based exploration, extraction and analysis tool for social science data. The NESSTAR data portal consists of Public Use Microdata Files (PUMF) and Master Files (RDC).
Rich Data Services (RDS) is an analytical platform for PUMFs and their metadata. The RDS Explorer and Tabulation Engine's interfaces allow users to browse, interact, and download data and metadata for online or offline analysis.