Single-detached homes
74.4%Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
Quebec postal region
H9A demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Dollard-Des-Ormeaux.
AudienceScoutH9A · Dollard-Des-OrmeauxLoading the H9A boundary…
Selected postal region
Market profile
A market of 15,267 people
Size the opportunity, understand its household composition, and identify the local patterns that make H9A different from the typical Canadian postal region.
Population15,267
Households5,265
Median income$108,000
Average age41.2
H9A market summary
What distinguishes this postal-region audience
H9A represents 15,267 residents and 5,265 households in Dollard-Des-Ormeaux. Its average household contains 2.9 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: 74.4%, or 21.8 percentage points above the benchmark. Families with children is 50.3%, 16.3 percentage points above the benchmark.
For campaign planning, these patterns give H9A 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 Dollard-Des-Ormeaux.
Audience matching
Find more regions that resemble H9A
To find regions with a profile similar to H9A, begin with families with children near 50.3% and university education near 40.2%. 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 H9A and the Canadian postal-region benchmark.
Families with children
50.3%Test family-oriented services, household value, education, recreation, and parent-focused creative.
Bachelor's degree or higher
40.2%Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
Immigrant population
36.6%Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.
Detailed comparison
How H9A 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 | H9A | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $108,000 | $85,788 | 25.9% above |
| Average household size | 2.9 people | 2.4 people | 19.3% above |
| Owner households | 79.6% | 66.5% | 13.1 percentage points above |
| One-person households | 18.3% | 29.4% | 11.1 percentage points below |
| Families with children | 50.3% | 34.0% | 16.3 percentage points above |
| Bachelor's degree or higher | 40.2% | 26.5% | 13.7 percentage points above |
| Immigrant population | 36.6% | 22.9% | 13.7 percentage points above |
| Worked from home | 32.3% | 23.8% | 8.5 percentage points above |
Local market context
Community activity around the audience
AudienceScout connects 8 local facility records with H9A. Education is the largest represented category with 7 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education7
Health care0
Culture and art1
Recreation0
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 9,737 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
7,628YouTube estimate · 63.6%
9,737Facebook estimate · 81.1%
6,139Instagram estimate · 51.1%
3,156TikTok estimate · 26.3%
Practical campaign implications
Turn the strongest H9A 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: 74.4%21.8 percentage points above the Canadian benchmark
Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
- Families with children: 50.3%16.3 percentage points above the Canadian benchmark
Test family-oriented services, household value, education, recreation, and parent-focused creative.
- Bachelor's degree or higher: 40.2%13.7 percentage points above the Canadian benchmark
Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
Related market context
Compare other Dollard-Des-Ormeaux postal regions
These regions share the Dollard-Des-Ormeaux postal community and are ordered by population similarity to H9A.
H9A audience questions
Using this postal-region profile
How large is the audience in H9A?
H9A represents 15,267 residents and 5,265 households in Dollard-Des-Ormeaux. The average household size is 2.9 people.
What demographic characteristics stand out in H9A?
Single-detached homes is 74.4%, 21.8 percentage points above the Canadian postal-region benchmark; Families with children is 50.3%, 16.3 percentage points above the Canadian postal-region benchmark; Bachelor's degree or higher is 40.2%, 13.7 percentage points above the Canadian postal-region benchmark.
How does H9A compare with another postal region?
H9G is one useful Dollard-Des-Ormeaux postal-region comparison because its population is similar to H9A. It has 13.0% lower median income · 2.5 years older on average.
How can I find other regions that match the H9A audience?
To find regions with a profile similar to H9A, begin with families with children near 50.3% and university education near 40.2%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in H9A?
Import postal codes to measure customer concentration in H9A, 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.