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AT MANIFOLD WE LIVE FOR DATA We take numbers and turn them into actionable results

Consumer Lifestyle
Clusters
Geo-Demographic
Data
Spending Data
Financial Data
Product Usage
Data
Media Usage
Shopping
Patterns
Behaviour &
Psychographics
Cannabis
Usage
Weather
Insurance
Housing
Healthcare
CanaCode Donor
Clusters
Canadian Travel
Patterns
Sports Fans
Data

IN THIS TOPIC

  • Geo-Demographic Data
  • Most Recent Update
  • Available Geographic Levels
  • Update Frequency
  • Methodology
  • Sample Reports
  • Data Format
  • Data Dictionary
  • How To Get It

Geo-Demographic Data

Clients often start their analytical journeys with our geo-demographic data products. These products provide demographic insights on Canadians based on geographical location. 

SuperDemographics consists of current year estimates of population statistics, Estimates and Projections describes 3-, 5- and 10-year projections, and Daytime Market provides estimates of the population who are present in a 6-digit postal code during normal business hours. Historical Estimates and Census provides historical data on the 2001, 2006, 2011, 2016, and 2021 census.

Dwelling Type and Age describes the dominant type and the likely age of dwellings in a 6-digit postal code. 

Census Geography Boundary files are available. They are often used by GIS specialists or for mapping purposes. We can also provide custom extracts at custom geographic levels. Finally, Postal Code Boundary files enable marketers to visualize the variation of consumer behaviors at the micro-geographic level.

  • SuperDemographics

    Current year estimates of population statistics including age, dwelling, household, family, education, immigration, ethnicity, minority, home language, mother tongue, knowledge of other languages, labour force, employment, occupation, mobility, income and religion.

    This database provides intercensal estimates of all Census variables and is often used to estimate market potential, identify composition and key characteristics of trade areas and customers. It is based on Census data 1991, 1996, 2001, 2006, 2011, 2016, and 2021 from Statistics Canada, the yearly immigration statistics from year 1981 to 2025 from Citizenship and Immigration Canada, Royal LePage’s quarterly Survey of Canadian Housing Price from 1974 to 2025, and monthly housing statistics from Canadian Mortgage and Housing Corporation (CMHC).

  • Estimates & Projections

    This database describes current year estimates, 5- and 10-year projections of population by gender, age group, household by size and family. It is often used to estimate current market demand, purchase power; project future development in the next 5- and 10-years; develop growth strategies and make economic plans.

    We use an enhanced cohort survival model to project the population, household and family growth. Inputs include but are not limited to birth/mortality rates, internal and external migration, and new residential developments.

  • Daytime Market

    This data product provides estimates of population who are present in a 6-digit postal code during the normal business hours. This includes the working population, students and people who stay at home during the day, e.g., retirees. The database also includes variables on residential/night time and student population.

    Daytime population is important for retailers to allocate merchandise and resources; for service providers like government agencies, banks and telecoms to plan and optimize their coverage; and for emergency management to respond potential calls. For examples, a business district in a downtown area or an industrial area in the suburbs may only have a daytime population and may have no residential/night time population.

  • Dwelling Type and Age

    This database describes the dominant type and the likely age of dwellings in a 6-digit postal code, i.e., single-detached, semi-detached, townhome, apartment building fewer than 5 storeys, higher than 5 storey and business buildings. This kind of information is important for retailers, manufacturers, service providers for home renovation, landscape, and HVACs.

  • Historical Estimates and Census 2001, 2006, 2011, 2016, and 2021

    We have been providing estimates of demographic data (e.g. SuperDemographics) for more than two decades. Our historical data are available as are historical Censuses.

    The census is the most comprehensive and complete demographic data covering the whole of Canada. Historical Censuses are used typically for trend analysis, estimates of population growth and shifts of settlement patterns. The structure of population age, labor force, ethnicity, education level is also vital for municipal economic and service development plans.

    Current and historical Censuses. These data products are published by Statistics Canada at the Dissemination Area (DA) level. We can provide custom data extraction by variable and by geography, and prepare the data in your desired format and link the data to the proper geographic boundaries if needed.

  • Boundary Files for Census Geographies

    We provide boundary files for Census Geographies and custom extracts with your desired demographic, spending, lifestyle, psychographics, product and media usage as well as shopping behavior data in your preferred format.

    We customize flexible and economic data solutions for GIS specialists.

  • Boundary Files at the 6-Digit Postal Code Level

    CanMap Postal Code Suite is a data product from our partner: DMTI Spatial ULC. It describes boundaries of 6-digit postal codes with geographical coordinates (longitude/latitude) and is available in both Simplified format for faster visualization and Detailed format for high precision mapping.

    6-digit postal code boundary files enable marketers to visualize the variation of consumer behaviors at the micro-geographic level and identify the best prospects more precisely. This level of clarity helps with illustrating territory coverage, trade area analysis, media distribution, and infrastructure provisioning applications. CanMap Postal Code Suite provides Urban and Rural six-digit (FSA LDU) boundaries, full Point of Call (POC) information with Delivery Mode types (e.g., letter carrier routes), and Forward Sortation Areas (FSAs) with unmatched precision down to the neighbourhood level. The following thematic map of CanaCode clusters shows the diversity of the consumer lifestyles in the Liberty Village neighborhood in Toronto.

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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We updated the census data 2021 from Statistics Canada to current year estimates with the following approaches: enhanced cohort survival methods, collaborative filtering techniques, and structural coherence techniques. Cohort survival method is used as a foundation for developing population forecasts. In addition to historical trends from 1991 to 2021, we consider the current birth and mortality rates, migration and immigration statistics, labour force activities and economic indicators. We have developed nonlinear modelling techniques for estimating other demographic variables and preserving the coherence structure in the census data. Spatial characteristics of geographic areas, e.g., apartment dwelling, new residential areas, business density are embedded in the modelling process. The updated Census was used as input of our mathematical models for extrapolating data from DA to 6-digit postal code level.

 

Data Sources include Census data 1991, 1996, 2001, 2006, 2011, 2016, and 2021 from Statistics Canada, the yearly immigration statistics from year 1981 to 2025 from Citizenship and Immigration Canada, Royal LePage’s quarterly Survey of Canadian Housing Price from 1974 to 2025, monthly housing statistics from Canadian Mortgage and Housing Corporation (CMHC), and population birth/mortality rates from Health Canada and provincial Ministry of Health, and building permits data from major municipalities.

 

We validate our methodologies and results with in- and out-of-phase Census data to ensure the accuracy of the data product.

Data Format

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CSV

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Sample Reports

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Download

Data Dictionary

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Download

How To Get It

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