Single-detached homes
21.0%Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
Quebec postal region
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Saint-Laurent.
Market profile
Size the opportunity, understand its household composition, and identify the local patterns that make H4M different from the typical Canadian postal region.
H4M market summary
H4M represents 12,466 residents and 4,585 households in Saint-Laurent. Its average household contains 2.7 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: 21.0%, or 31.6 percentage points below the benchmark. Immigrant population is 50.3%, 27.4 percentage points above the benchmark.
For campaign planning, these patterns give H4M 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 Saint-Laurent.
Audience matching
To find regions with a profile similar to H4M, begin with university education near 40.2% and families with children near 46.7%. Adjust each minimum to make the audience broader or more selective.
Match This AudienceDistinctive market signals
These four characteristics show the largest available differences between H4M and the Canadian postal-region benchmark.
Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.
Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
Test family-oriented services, household value, education, recreation, and parent-focused creative.
Detailed comparison
Use the difference column to identify which measures are most useful for creative, offer, channel, and geographic targeting decisions.
| Measure | H4M | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $85,000 | $85,788 | 0.9% below |
| Average household size | 2.7 people | 2.4 people | 11.1% above |
| Owner households | 58.1% | 66.5% | 8.4 percentage points below |
| One-person households | 24.8% | 29.4% | 4.6 percentage points below |
| Families with children | 46.7% | 34.0% | 12.7 percentage points above |
| Bachelor's degree or higher | 40.2% | 26.5% | 13.7 percentage points above |
| Immigrant population | 50.3% | 22.9% | 27.4 percentage points above |
| Worked from home | 27.5% | 23.8% | 3.7 percentage points above |
Local market context
AudienceScout connects 15 local facility records with H4M. Education is the largest represented category with 10 records, adding another signal for local media, partnership, service-area, and campaign planning.
Platform audience potential
Facebook has the largest modeled audience among the displayed channels at 7,866 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
Practical campaign implications
Use these as evidence-based starting hypotheses, then validate them against campaign performance and your own customer results.
Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.
Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
Related market context
These regions share the Saint-Laurent postal community and are ordered by population similarity to H4M.
H4M audience questions
H4M represents 12,466 residents and 4,585 households in Saint-Laurent. The average household size is 2.7 people.
Single-detached homes is 21.0%, 31.6 percentage points below the Canadian postal-region benchmark; Immigrant population is 50.3%, 27.4 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.
H4S is one useful Saint-Laurent postal-region comparison because its population is similar to H4M. It has 24.7% higher median income · 0.3 years younger on average.
To find regions with a profile similar to H4M, begin with university education near 40.2% and families with children near 46.7%. Adjust each minimum to make the audience broader or more selective.
Import postal codes to measure customer concentration in H4M, 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.