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Spending Data
Most Recent Update
Available Geographic Levels
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Methodology
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Data Dictionary
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Spending Data

Estimated dollar amount of household annual spending on food, clothing, shelter, transportation, household operation, household furnishings, art and antiques, equipment, health care, personal care, recreation, reading materials, education, tobacco products and alcoholic beverages, financial services and insurance, gifts and contributions as well as RRSP, etc.

Household Spending Patterns

This database describes consumer spending habits on 400+ categories, including food, clothing, shelter, transportation, household operation, household furnishings, health care, personal care, recreation, reading materials, education, tobacco products and alcoholic beverages, financial services and insurance, gifts and RRSP and charity contributions.

The foundation of this data product is a stratified, multi-staged annual household spending survey conducted by Statistics Canada. This survey captures uniquely Canadian household spending patterns. We used data fusion techniques to extrapolate the survey to the 6-digit postal code level, covering every household across Canada.
Companies use Household Spending Patterns to estimate their market potential and perform competitive analysis. For example, knowing that a household spends $6,500 annually on food in their trade area of 8,000 households, a supermarket can compare with their sales and estimate their gaps and potential as well as the competitive environment.
Food Spending Patterns

This database describes consumer spending habits on 300+ food-related categories, including

-Bakery and cereal products
-Fruit and vegetables
-Dairy products and eggs
-Meat, fish and seafood
-Non-alcoholic beverages
-Sugar and confectionery
-Margarine, oils and fats
-Infant food
-Frozen prepared food
-Ready-to-serve prepared food
-Snack food
-Tofu
-Food purchased from restaurants: table, fast food, café & other
-Number of meals purchased from restaurants.

The foundation of this data product are stratified, multi-staged annual surveys conducted by Agriculture Canada, Egg Farmers of Canada, Statistics Canada, Citizenship and Immigration Canada, and Health Canada. This survey captures uniquely Canadian household food spending patterns. We used data fusion techniques to extrapolate the survey to the 6-digit postal code level, covering every household across Canada.
Companies use Food Spending Patterns to estimate their market potential and perform competitive analysis. For example, knowing that a household spends $6,500 annually on fruits and vegetables vs. $1,200 annually on restaurants in their trade area of 8,000 households, a supermarket can compare with their sales and estimate their gaps and potential as well as the competitive environment.
Selected Consumer Spending Categories*

*This marketing research information is the result of Manifold’s models using Numeris RTS Canada survey, it is not intended to duplicate Numeris data.

This is a database on selected spending categories and ranges of population of age 15+. For examples, annual spending by range: 1) Nothing, 2) $1 – $249, 3) $250 – $499, 4) $500 or more on grocery, bath and bedding, car wash, tableware, clothing, shoe, cross-border shopping, online shopping, flowers, furniture, garden supplies, hair salon, home décor, jewellery, small appliance, sporting goods and toys.

This data product is based on the Return-To-Sample survey conducted by Numeris (formerly Bureau of Broadcast and Measurement) twice a year with a combined sample size of over 100,000 responders stratified across Canada. We extrapolated the survey data from the household level to the 6-digit postal code level by building predictive models to estimate the propensity of consumers belonging to each of the spending categories and ranges.

Companies use this database to identify segments of their customers/prospects and their spending potentials. They can also use the data for competitive analysis, positioning and up-selling/cross-selling of their products and services by segments.
Chinese Household Spending Patterns

This database describes the spending habits of Chinese households in Canada. It includes Chinese population, household, income, education, and lifestyle clusters. The Chinese community is big (a population of 1.8 million and annual household spending of $56 billion), grows quickly (immigration and high birth rate), has high purchasing power (annual household income $88,231), and is highly concentrated (major Census Metropolitan Areas).

The foundation of this data product is the survey of Household Spending by Statistics Canada and our proprietary research of Chinese shopping and spending habits. We built predictive models to extrapolate the survey data from household level to the 6-digit postal code level, covering all of Canada.

Knowing their spending patterns and their concentration helps companies position their products and communicate with Chinese consumers more effectively. For examples, their high spending on telecommunication, and the fact that they are both tech savvy and early adopters of new gadgets makes Chinese consumers one of the top target groups of telecoms and electronic retailers. Similarly, Chinese traveling desires is highly visible in package tours and cruise ships.
South Asian Household Spending Patterns

This database describes the spending habits of South Asian households – people who reside in Canada and with an ethnic origin in Bangladesh, Bhutan, India, Maldives, Pakistan, Nepal, or Sri Lanka. This database also includes key demographics about South Asian, i.e., population, household, income and education level.

South Asians are the largest visible cultural community in Canada and have a very diverse sub-cultural background. Like the Chinese, the South Asian community is big (a population of 1.9 million and annual household spending of $50 billion), grows quickly (immigration and high birth rate), has high purchasing power (annual household income $86,425), and is also highly concentrated (major Census Metropolitan Areas).

The foundation of this data product is built on the survey of Household Spending by Statistics Canada and our proprietary research of South Asian shopping and spending habits. We built predictive models to extrapolate the survey data from household level to the 6-digit postal code level covering all of Canada.

Thanks to their large households and multi-generation households, South Asian consumers spend more on food, telecommunication, …etc. They are tech savvy and early adopters of new gadgets.

Most South Asian consumers speak fluent English. Communication with them in Canada’s official languages is not an issue.

Most Recent Update

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2025

Available Geographic Levels

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6-digit postal code, FSA, DA, CT, CSD, CD, and custom geography

Update Frequency

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Annual

Methodology

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Data fusion with stratified sampling techniques. Strata based on the Survey of Household Spending from Statistics Canada, surveys conducted by Agriculture Canada, Egg Farmers of Canada, and Health Canada are linked to strata derived from demographic information at the postal code geographic level. Thereafter, expenditure patterns are modeled from survey data to the general population. Structural coherence played an essential role in selecting geographic level and in the integration process. We have applied techniques from statistics, dynamics, data mining and other disciplines including multi-staged and adaptive nonlinear methods for dimension reduction, effective statistical distance function, and coherent structural approximations.

Data sources include Statistics Canada, Citizenship and Immigration Canada, Health Canada, Canada Post Corporation, publications from credit bureaus and Manifold proprietary research and databases.

Validation and refinement is done via independent data sources.

Data Format

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CSV

Sample Reports

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Download

Data Dictionary

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Download

How To Get It

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