Immigrant population
38.0%Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.
Quebec postal region
H9H 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-Geneviève.
AudienceScoutH9H · Sainte-GenevièveLoading the H9H boundary…
Selected postal region
Market profile
A market of 25,097 people
Size the opportunity, understand its household composition, and identify the local patterns that make H9H different from the typical Canadian postal region.
Population25,097
Households9,375
Median income$87,000
Average age43.8
H9H market summary
What distinguishes this postal-region audience
H9H represents 25,097 residents and 9,375 households in Sainte-Geneviève. 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: 38.0%, or 15.1 percentage points above the benchmark. Families with children is 44.4%, 10.4 percentage points above the benchmark.
For campaign planning, these patterns give H9H 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-Geneviève.
Audience matching
Find more regions that resemble H9H
To find regions with a profile similar to H9H, begin with families with children near 44.4% and university education near 33.1%. 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 H9H and the Canadian postal-region benchmark.
Families with children
44.4%Test family-oriented services, household value, education, recreation, and parent-focused creative.
Bachelor's degree or higher
33.1%Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
One-person households
25.3%Give household decision-making, shared-use products, and multi-person value greater emphasis.
Detailed comparison
How H9H 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 | H9H | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $87,000 | $85,788 | 1.4% above |
| Average household size | 2.6 people | 2.4 people | 7.0% above |
| Owner households | 69.5% | 66.5% | 3.0 percentage points above |
| One-person households | 25.3% | 29.4% | 4.1 percentage points below |
| Families with children | 44.4% | 34.0% | 10.4 percentage points above |
| Bachelor's degree or higher | 33.1% | 26.5% | 6.6 percentage points above |
| Immigrant population | 38.0% | 22.9% | 15.1 percentage points above |
| Worked from home | 25.7% | 23.8% | 1.9 percentage points above |
Local market context
Community activity around the audience
AudienceScout connects 26 local facility records with H9H. Education is the largest represented category with 15 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education15
Health care6
Culture and art1
Recreation4
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 16,467 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
12,749YouTube estimate · 62.6%
16,467Facebook estimate · 80.8%
10,187Instagram estimate · 50.0%
5,123TikTok estimate · 25.1%
Practical campaign implications
Turn the strongest H9H signals into campaign tests
Use these as evidence-based starting hypotheses, then validate them against campaign performance and your own customer results.
- Immigrant population: 38.0%15.1 percentage points above the Canadian benchmark
Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.
- Families with children: 44.4%10.4 percentage points above the Canadian benchmark
Test family-oriented services, household value, education, recreation, and parent-focused creative.
- Bachelor's degree or higher: 33.1%6.6 percentage points above the Canadian benchmark
Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
Related market context
Compare similar-sized Quebec postal regions
This directory represents Sainte-Geneviève with one postal region. These Quebec markets are selected by population similarity for a useful market comparison.
H9H audience questions
Using this postal-region profile
How large is the audience in H9H?
H9H represents 25,097 residents and 9,375 households in Sainte-Geneviève. The average household size is 2.6 people.
What demographic characteristics stand out in H9H?
Immigrant population is 38.0%, 15.1 percentage points above the Canadian postal-region benchmark; Families with children is 44.4%, 10.4 percentage points above the Canadian postal-region benchmark; Bachelor's degree or higher is 33.1%, 6.6 percentage points above the Canadian postal-region benchmark.
How does H9H compare with another postal region?
H8S is one useful Quebec market comparison because its population is similar to H9H. It has 30.6% lower median income · 1.5 years younger on average.
How can I find other regions that match the H9H audience?
To find regions with a profile similar to H9H, begin with families with children near 44.4% and university education near 33.1%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in H9H?
Import postal codes to measure customer concentration in H9H, 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.