Overview
The layers for the "Canada Geographies" can be found in the "Boundaries" group underneath the "Buxton Data". Data is based on Experian data.
Data Information
Census Division
Canada's second-level geographic units are called "census divisions". In terms of size, they generally lie between the top-level administrative divisions of the province and territory and third-level administrative divisions such as sections townships and ranges.
Census Subdivision
Census divisions are divided into census subdivisions. Census subdivisions generally correspond to the municipalities of Canada, as determined by provincial and territorial legislation. They can also correspond to area which are deemed to be equivalents to municipalities for statistical reporting purposes, such as Indian reserves, Indian settlements, and unorganized territories where municipal level government may not exist.
CMA (Census Metropolitan Areas)
A grouping of census subdivisions comprising a large urban area (the "urban core") and those surrounding "urban fringes" with which it is closely integrated. To become a CMA, an area must register an urban core population of at least 100,000 at the previous census. CMA status is retained even if this core population later drops below 100,000.
Dissemination Area
Dissemination areas are the smallest standard geographic unit in Canada and cover the entire country. As small areas, they comprise one or more dissemination blocks and have a population between 400 and 700 people.
FSA (Forward Sortation Areas)
A geographical region in which all postal codes start with the same three characters.
Province
The administrative divisions that are responsible for the delivery of sub-national governance within the geographical areas of Canada under the authority of the Canadian Constitution.
Region
Regions include more than one province or territory, but doesn't usually include the entirety of each province or territory in the group.
Follow-up Reading:
Continue researching Buxton's Point and Geographic data sets in Buxton Data.
Learn how to use "Demand Analysis" to count Points of Interest within a Geography.

