Single-detached homes
28.5%Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
Quebec postal region
J7E 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 Central.
AudienceScoutJ7E · Sainte-Thérèse-de-Blainville CentralLoading the J7E boundary…
Selected postal region
Market profile
A market of 29,356 people
Size the opportunity, understand its household composition, and identify the local patterns that make J7E different from the typical Canadian postal region.
Population29,356
Households13,295
Median income$65,500
Average age44.4
J7E market summary
What distinguishes this postal-region audience
J7E represents 29,356 residents and 13,295 households in Sainte-Thérèse-de-Blainville Central. Its average household contains 2.1 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: 28.5%, or 24.1 percentage points below the benchmark. Owner households is 47.2%, 19.3 percentage points below the benchmark.
For campaign planning, these patterns give J7E 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 Central.
Audience matching
Find more regions that resemble J7E
To find regions with a profile similar to J7E, begin with home ownership near 47.2% and household income near $65,500. 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 J7E and the Canadian postal-region benchmark.
Owner households
47.2%Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.
Immigrant population
8.5%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Median household income
$65,500Lead with practical value, accessible pricing, savings, or efficiency when testing offers in this region.
Detailed comparison
How J7E 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 | J7E | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $65,500 | $85,788 | 23.6% below |
| Average household size | 2.1 people | 2.4 people | 13.6% below |
| Owner households | 47.2% | 66.5% | 19.3 percentage points below |
| One-person households | 41.0% | 29.4% | 11.6 percentage points above |
| Families with children | 27.1% | 34.0% | 6.9 percentage points below |
| Bachelor's degree or higher | 17.7% | 26.5% | 8.8 percentage points below |
| Immigrant population | 8.5% | 22.9% | 14.4 percentage points below |
| Worked from home | 17.2% | 23.8% | 6.6 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 26 local facility records with J7E. Education is the largest represented category with 15 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education15
Health care7
Culture and art4
Recreation0
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 19,224 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
14,926YouTube estimate · 62.8%
19,224Facebook estimate · 80.9%
11,939Instagram estimate · 50.2%
6,023TikTok estimate · 25.3%
Practical campaign implications
Turn the strongest J7E 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: 28.5%24.1 percentage points below the Canadian benchmark
Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
- Owner households: 47.2%19.3 percentage points below the Canadian benchmark
Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.
- Immigrant population: 8.5%14.4 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.
Related market context
Compare similar-sized Quebec postal regions
This directory represents Sainte-Thérèse-de-Blainville Central with one postal region. These Quebec markets are selected by population similarity for a useful market comparison.
J7E audience questions
Using this postal-region profile
How large is the audience in J7E?
J7E represents 29,356 residents and 13,295 households in Sainte-Thérèse-de-Blainville Central. The average household size is 2.1 people.
What demographic characteristics stand out in J7E?
Single-detached homes is 28.5%, 24.1 percentage points below the Canadian postal-region benchmark; Owner households is 47.2%, 19.3 percentage points below the Canadian postal-region benchmark; Immigrant population is 8.5%, 14.4 percentage points below the Canadian postal-region benchmark.
How does J7E compare with another postal region?
J7T is one useful Quebec market comparison because its population is similar to J7E. It has 75.6% higher median income · 5.3 years younger on average.
How can I find other regions that match the J7E audience?
To find regions with a profile similar to J7E, begin with home ownership near 47.2% and household income near $65,500. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in J7E?
Import postal codes to measure customer concentration in J7E, 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.