Bachelor's degree or higher
46.0%Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
Quebec postal region
H9X 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-Anne-De-Bellevue.
AudienceScoutH9X · Sainte-Anne-De-BellevueLoading the H9X boundary…
Selected postal region
Market profile
A market of 9,744 people
Size the opportunity, understand its household composition, and identify the local patterns that make H9X different from the typical Canadian postal region.
Population9,744
Households3,785
Median income$104,000
Average age45.7
H9X market summary
What distinguishes this postal-region audience
H9X represents 9,744 residents and 3,785 households in Sainte-Anne-De-Bellevue. Its average household contains 2.4 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 university education: 46.0%, or 19.5 percentage points above the benchmark. Worked from home is 36.5%, 12.7 percentage points above the benchmark.
For campaign planning, these patterns give H9X 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-Anne-De-Bellevue.
Audience matching
Find more regions that resemble H9X
To find regions with a profile similar to H9X, begin with university education near 46.0% and household income near $104,000. 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 H9X and the Canadian postal-region benchmark.
Worked from home
36.5%Daytime digital, local delivery, home-office, and neighbourhood-service campaigns may warrant additional testing.
Single-detached homes
64.6%Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
Median household income
$104,000Test premium, higher-consideration, or value-led offers grounded in a clear customer benefit.
Detailed comparison
How H9X 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 | H9X | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $104,000 | $85,788 | 21.2% above |
| Average household size | 2.4 people | 2.4 people | 1.2% below |
| Owner households | 71.7% | 66.5% | 5.2 percentage points above |
| One-person households | 26.7% | 29.4% | 2.7 percentage points below |
| Families with children | 38.6% | 34.0% | 4.6 percentage points above |
| Bachelor's degree or higher | 46.0% | 26.5% | 19.5 percentage points above |
| Immigrant population | 22.6% | 22.9% | 0.3 percentage points below |
| Worked from home | 36.5% | 23.8% | 12.7 percentage points above |
Local market context
Community activity around the audience
AudienceScout connects 22 local facility records with H9X. Education is the largest represented category with 13 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education13
Health care1
Culture and art6
Recreation2
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 6,573 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
5,056YouTube estimate · 61.9%
6,573Facebook estimate · 80.5%
4,069Instagram estimate · 49.9%
2,103TikTok estimate · 25.8%
Practical campaign implications
Turn the strongest H9X signals into campaign tests
Use these as evidence-based starting hypotheses, then validate them against campaign performance and your own customer results.
- Bachelor's degree or higher: 46.0%19.5 percentage points above the Canadian benchmark
Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
- Worked from home: 36.5%12.7 percentage points above the Canadian benchmark
Daytime digital, local delivery, home-office, and neighbourhood-service campaigns may warrant additional testing.
- Single-detached homes: 64.6%12.0 percentage points above the Canadian benchmark
Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
Related market context
Compare similar-sized Quebec postal regions
This directory represents Sainte-Anne-De-Bellevue with one postal region. These Quebec markets are selected by population similarity for a useful market comparison.
H9X audience questions
Using this postal-region profile
How large is the audience in H9X?
H9X represents 9,744 residents and 3,785 households in Sainte-Anne-De-Bellevue. The average household size is 2.4 people.
What demographic characteristics stand out in H9X?
Bachelor's degree or higher is 46.0%, 19.5 percentage points above the Canadian postal-region benchmark; Worked from home is 36.5%, 12.7 percentage points above the Canadian postal-region benchmark; Single-detached homes is 64.6%, 12.0 percentage points above the Canadian postal-region benchmark.
How does H9X compare with another postal region?
H3Y is one useful Quebec market comparison because its population is similar to H9X. It has 130.8% higher median income · 2.9 years younger on average.
How can I find other regions that match the H9X audience?
To find regions with a profile similar to H9X, begin with university education near 46.0% and household income near $104,000. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in H9X?
Import postal codes to measure customer concentration in H9X, 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.