Single-detached homes
13.1%Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
Quebec postal region
H4W demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Côte-Saint-Luc West.
AudienceScoutH4W · Côte-Saint-Luc WestLoading the H4W boundary…
Selected postal region
Market profile
A market of 26,359 people
Size the opportunity, understand its household composition, and identify the local patterns that make H4W different from the typical Canadian postal region.
Population26,359
Households10,710
Median income$75,500
Average age44.2
H4W market summary
What distinguishes this postal-region audience
H4W represents 26,359 residents and 10,710 households in Côte-Saint-Luc West. 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 detached housing: 13.1%, or 39.5 percentage points below the benchmark. Immigrant population is 43.1%, 20.2 percentage points above the benchmark.
For campaign planning, these patterns give H4W 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 Côte-Saint-Luc West.
Audience matching
Find more regions that resemble H4W
To find regions with a profile similar to H4W, begin with home ownership near 50.3% and university education near 42.3%. 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 H4W and the Canadian postal-region benchmark.
Immigrant population
43.1%Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.
Owner households
50.3%Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.
Bachelor's degree or higher
42.3%Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
Detailed comparison
How H4W 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 | H4W | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $75,500 | $85,788 | 12.0% below |
| Average household size | 2.4 people | 2.4 people | 1.2% below |
| Owner households | 50.3% | 66.5% | 16.2 percentage points below |
| One-person households | 33.8% | 29.4% | 4.4 percentage points above |
| Families with children | 36.8% | 34.0% | 2.8 percentage points above |
| Bachelor's degree or higher | 42.3% | 26.5% | 15.8 percentage points above |
| Immigrant population | 43.1% | 22.9% | 20.2 percentage points above |
| Worked from home | 28.0% | 23.8% | 4.2 percentage points above |
Local market context
Community activity around the audience
AudienceScout connects 16 local facility records with H4W. Education is the largest represented category with 9 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education9
Health care5
Culture and art1
Recreation1
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 16,623 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
12,865YouTube estimate · 62.6%
16,623Facebook estimate · 80.9%
10,236Instagram estimate · 49.8%
5,067TikTok estimate · 24.6%
Practical campaign implications
Turn the strongest H4W 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: 13.1%39.5 percentage points below the Canadian benchmark
Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
- Immigrant population: 43.1%20.2 percentage points above the Canadian benchmark
Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.
- Owner households: 50.3%16.2 percentage points below the Canadian benchmark
Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.
Related market context
Compare similar-sized Quebec postal regions
This directory represents Côte-Saint-Luc West with one postal region. These Quebec markets are selected by population similarity for a useful market comparison.
H4W audience questions
Using this postal-region profile
How large is the audience in H4W?
H4W represents 26,359 residents and 10,710 households in Côte-Saint-Luc West. The average household size is 2.4 people.
What demographic characteristics stand out in H4W?
Single-detached homes is 13.1%, 39.5 percentage points below the Canadian postal-region benchmark; Immigrant population is 43.1%, 20.2 percentage points above the Canadian postal-region benchmark; Owner households is 50.3%, 16.2 percentage points below the Canadian postal-region benchmark.
How does H4W compare with another postal region?
H4A is one useful Quebec market comparison because its population is similar to H4W. It has 3.3% higher median income · 3.8 years younger on average.
How can I find other regions that match the H4W audience?
To find regions with a profile similar to H4W, begin with home ownership near 50.3% and university education near 42.3%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in H4W?
Import postal codes to measure customer concentration in H4W, 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.