Single-detached homes
37.7%Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
Quebec postal region
J7H 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.
AudienceScoutJ7H · Sainte-Thérèse-de-BlainvilleLoading the J7H boundary…
Selected postal region
Market profile
A market of 8,185 people
Size the opportunity, understand its household composition, and identify the local patterns that make J7H different from the typical Canadian postal region.
Population8,185
Households3,585
Median income$85,000
Average age41.9
J7H market summary
What distinguishes this postal-region audience
J7H represents 8,185 residents and 3,585 households in Sainte-Thérèse-de-Blainville. Its average household contains 2.3 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 detached housing: 37.7%, or 14.9 percentage points below the benchmark. Immigrant population is 10.0%, 12.9 percentage points below the benchmark.
For campaign planning, these patterns give J7H 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 J7H
To find regions with a profile similar to J7H, begin with home ownership near 53.9% and university education near 20.6%. 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 J7H and the Canadian postal-region benchmark.
Immigrant population
10.0%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Owner households
53.9%Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.
Bachelor's degree or higher
20.6%Use direct, practical language that demonstrates the everyday value of the offer.
Detailed comparison
How J7H 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 | J7H | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $85,000 | $85,788 | 0.9% below |
| Average household size | 2.3 people | 2.4 people | 5.3% below |
| Owner households | 53.9% | 66.5% | 12.6 percentage points below |
| One-person households | 32.1% | 29.4% | 2.8 percentage points above |
| Families with children | 35.1% | 34.0% | 1.1 percentage points above |
| Bachelor's degree or higher | 20.6% | 26.5% | 5.9 percentage points below |
| Immigrant population | 10.0% | 22.9% | 12.9 percentage points below |
| Worked from home | 19.6% | 23.8% | 4.2 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 6 local facility records with J7H. Education is the largest represented category with 4 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education4
Health care2
Culture and art0
Recreation0
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 5,273 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
4,115YouTube estimate · 63.3%
5,273Facebook estimate · 81.1%
3,295Instagram estimate · 50.6%
1,665TikTok estimate · 25.6%
Practical campaign implications
Turn the strongest J7H signals into campaign tests
Use these as evidence-based starting hypotheses, then validate them against campaign performance and your own customer results.
- Single-detached homes: 37.7%14.9 percentage points below the Canadian benchmark
Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
- Immigrant population: 10.0%12.9 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: 53.9%12.6 percentage points below the Canadian benchmark
Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.
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 J7H.
J7H audience questions
Using this postal-region profile
How large is the audience in J7H?
J7H represents 8,185 residents and 3,585 households in Sainte-Thérèse-de-Blainville. The average household size is 2.3 people.
What demographic characteristics stand out in J7H?
Single-detached homes is 37.7%, 14.9 percentage points below the Canadian postal-region benchmark; Immigrant population is 10.0%, 12.9 percentage points below the Canadian postal-region benchmark; Owner households is 53.9%, 12.6 percentage points below the Canadian postal-region benchmark.
How does J7H compare with another postal region?
J7B is one useful Sainte-Thérèse-de-Blainville postal-region comparison because its population is similar to J7H. It has 70.6% higher median income · 2.3 years younger on average.
How can I find other regions that match the J7H audience?
To find regions with a profile similar to J7H, begin with home ownership near 53.9% and university education near 20.6%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in J7H?
Import postal codes to measure customer concentration in J7H, 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.