- Wealth data is useful in bank, ATM and 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 opening a new financial institution where are the households that have a higher than average value of assets potentially for investing?
- Businesses can use wealth data to determine the next best steps on how to expand and optimize their product offerings. By understanding the wealth profile and segments of consumers and the trade area, businesses can focus on offering the right product mix to meet needs of their customer base. For example, a financial institution may offer full service brokerage services if their customer base likes to trade in stocks and bonds.
- Wealth data is useful in targeting applications when a company is trying to locate top prospect households to direct communication messages to in marketing efforts.
- Wealth data is essential in the not-for-profit sector to find out which donors have the potential to give a major gift.
- Wealth data is integral for policy development and for the implementation and evaluation across a range of areas including fiscal, monetary, taxation, social welfare and housing policy.
Canadian Household Wealth Data 2020
This data product provides 2020 Wealth 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.
- 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).
- Income, assets and debt variables
Data Input Sources
- Data sources are Statistics Canada Census, Survey of Financial Security, Taxfiler and Canada Post
- Canadian coverage at postal and census geographies
- Dollar amounts of household income, assets and debts
- 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
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.