Canadian Household Demographics 2020

Postal Code
Household Demographics
Labour Force
Age and Income

Data on Canadian households for topics covering age, gender, household and personal income, marital status, education, labour force, occupation, etc.

This is an example data from history; subscriber data is updated daily
Charts of Canadian Household Demographics 2020


  • Demographic data is useful in retail location optimization planning. It helps define where the opportunity is to reach the right type of customer (by market, region, postal code, etc.). For example, if selling a luxury item such as a Lexus where are the households that have a higher than average household income?
  • Business can use demographic data to determine the next best steps on how to expand and optimize their product offerings. By understanding the demographic profile and segments of consumers, business can focus on offering the right product mix to meet needs of their customer base.
  • This data is valuable in targeting top prospect households for your marketing efforts. For example, which households have young children in a trade area around a store that will be most likely to be receptive to a direct mail item promoting children's goods.
  • This data is used for geo-spatial applications using the lat/long coordinates to build heat maps and thematic maps visually displaying the areas of highest potential for target consumers.
  • Demographic data is often used to group customers into similar groups or clusters. By grouping customers using demographic data, businesses can better understand what each segment wants and how to best communicate product offerings with them.


Canadian Household Demographics 2020


This data product provides 2020 demographic data at the Postal and Census geographies for Canada. The geographic hierarchy is provided to allow for geographic aggregations by Province, FSA Forward Sortation Area, DA Dissemination Area, CD Census Division, etc.

  • Annual
Dimension Coverage
  • Canadian postal geography (FSA and FSALDU) and census geographies (Province, CMA/CA, CSD, CD, DA, Community). Note: data is based on Canada Post 6 digit postal code household count data. There is a no statistically appropriate data to differentiate Statistics Canada data at the postal code level. As a result, demographic statistics, when used at the average level, are only differentiated to the Statistics Canada Dissemination Area level (56,582 areas).
Variable Coverage
  • Households, population, age, gender, household and personal income, marital status, education, labour force, occupation, etc. (See data dictionary below for list of all variables.)
Data Collection Methodology
  • Data sources are Statistics Canada Census, Survey of Household Spending, Taxfiler Data, Canada Post Household Counts by Postal Code as well as Statistics Canada surveys on population, income, marital status, families, visible minorities, occupation, labour and employment.

Key Features

  • Canadian coverage for postal and census geographies
  • Household demographics for 2020
  • Modeled by industry experts with economic and mathematical backgrounds
  • Lower level geographies roll up to higher level geographies ensuring data consistency
  • Suitable for geo-spatial applications

Data Provider

Exceed Analysis

Exceed Analysis is a data modeling and location intelligence company. Exceed Analysis models databases to the postal code and conducts market research to optimize location networks and find the best business opportunities.

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