Immigrant population
11.5%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Quebec postal region
J7C demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Sainte-Thérèse-de-Blainville.
AudienceScoutJ7C · Sainte-Thérèse-de-BlainvilleLoading the J7C boundary…
Selected postal region
Market profile
A market of 46,679 people
Size the opportunity, understand its household composition, and identify the local patterns that make J7C different from the typical Canadian postal region.
Population46,679
Households17,970
Median income$98,000
Average age40.2
J7C market summary
What distinguishes this postal-region audience
J7C represents 46,679 residents and 17,970 households in Sainte-Thérèse-de-Blainville. Its average household contains 2.6 people, creating a local market that can be evaluated by both total reach and household composition.
The clearest difference from the Canadian postal-region benchmark is immigrant population: 11.5%, or 11.4 percentage points below the benchmark. Owner households is 75.5%, 9.0 percentage points above the benchmark.
For campaign planning, these patterns give J7C a clear audience profile. They provide concrete criteria for deciding whether the region fits an offer, which audience characteristics should shape creative, and how it should be compared with other parts of Sainte-Thérèse-de-Blainville.
Audience matching
Find more regions that resemble J7C
To find regions with a profile similar to J7C, begin with home ownership near 75.5% and families with children near 42.6%. Adjust each minimum to make the audience broader or more selective.
Match This AudienceDistinctive market signals
The characteristics with the largest local differences
These four characteristics show the largest available differences between J7C and the Canadian postal-region benchmark.
Owner households
75.5%Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.
Families with children
42.6%Test family-oriented services, household value, education, recreation, and parent-focused creative.
Median household income
$98,000Test premium, higher-consideration, or value-led offers grounded in a clear customer benefit.
Detailed comparison
How J7C compares with the Canadian benchmark
Use the difference column to identify which measures are most useful for creative, offer, channel, and geographic targeting decisions.
| Measure | J7C | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $98,000 | $85,788 | 14.2% above |
| Average household size | 2.6 people | 2.4 people | 7.0% above |
| Owner households | 75.5% | 66.5% | 9.0 percentage points above |
| One-person households | 23.3% | 29.4% | 6.1 percentage points below |
| Families with children | 42.6% | 34.0% | 8.6 percentage points above |
| Bachelor's degree or higher | 21.7% | 26.5% | 4.8 percentage points below |
| Immigrant population | 11.5% | 22.9% | 11.4 percentage points below |
| Worked from home | 21.2% | 23.8% | 2.6 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 64 local facility records with J7C. Recreation is the largest represented category with 43 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education12
Health care5
Culture and art4
Recreation43
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 29,561 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
23,252YouTube estimate · 63.9%
29,561Facebook estimate · 81.3%
18,648Instagram estimate · 51.3%
9,454TikTok estimate · 26.0%
Practical campaign implications
Turn the strongest J7C signals into campaign tests
Use these as evidence-based starting hypotheses, then validate them against campaign performance and your own customer results.
- Immigrant population: 11.5%11.4 percentage points below the Canadian benchmark
Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
- Owner households: 75.5%9.0 percentage points above the Canadian benchmark
Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.
- Families with children: 42.6%8.6 percentage points above the Canadian benchmark
Test family-oriented services, household value, education, recreation, and parent-focused creative.
Related market context
Compare other Sainte-Thérèse-de-Blainville postal regions
These regions share the Sainte-Thérèse-de-Blainville postal community and are ordered by population similarity to J7C.
J7C audience questions
Using this postal-region profile
How large is the audience in J7C?
J7C represents 46,679 residents and 17,970 households in Sainte-Thérèse-de-Blainville. The average household size is 2.6 people.
What demographic characteristics stand out in J7C?
Immigrant population is 11.5%, 11.4 percentage points below the Canadian postal-region benchmark; Owner households is 75.5%, 9.0 percentage points above the Canadian postal-region benchmark; Families with children is 42.6%, 8.6 percentage points above the Canadian postal-region benchmark.
How does J7C compare with another postal region?
J7G is one useful Sainte-Thérèse-de-Blainville postal-region comparison because its population is similar to J7C. It has 10.2% lower median income · 0.9 years older on average.
How can I find other regions that match the J7C audience?
To find regions with a profile similar to J7C, begin with home ownership near 75.5% and families with children near 42.6%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in J7C?
Import postal codes to measure customer concentration in J7C, compare the count with the region's population and households, and use its strongest demographic characteristics to decide whether similar regions belong in the campaign.