Quebec postal region

H1S demographics and market profile

See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Saint-Léonard.

AudienceScoutH1S · Saint-Léonard
Loading the H1S boundary…
Postal code boundary map for H1S.

Market profile

A market of 26,715 people

Size the opportunity, understand its household composition, and identify the local patterns that make H1S different from the typical Canadian postal region.

Population26,715
Households10,620
Median income$62,400
Average age43.8

H1S market summary

What distinguishes this postal-region audience

H1S represents 26,715 residents and 10,620 households in Saint-Léonard. 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: 0.4%, or 52.2 percentage points below the benchmark. Owner households is 31.9%, 34.6 percentage points below the benchmark.

For campaign planning, these patterns give H1S 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-Léonard.

Audience matching

Find more regions that resemble H1S

To find regions with a profile similar to H1S, begin with home ownership near 31.9% and household income near $62,400. Adjust each minimum to make the audience broader or more selective.

Match This Audience

Distinctive market signals

The characteristics with the largest local differences

These four characteristics show the largest available differences between H1S and the Canadian postal-region benchmark.

52.2 percentage points below benchmark

Single-detached homes

0.4%

Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.

34.6 percentage points below benchmark

Owner households

31.9%

Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.

24.7 percentage points above benchmark

Immigrant population

47.6%

Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.

27.3% below benchmark

Median household income

$62,400

Lead with practical value, accessible pricing, savings, or efficiency when testing offers in this region.

Detailed comparison

How H1S compares with the Canadian benchmark

Use the difference column to identify which measures are most useful for creative, offer, channel, and geographic targeting decisions.

MeasureH1SCanada FSA benchmarkDifference
Median household income$62,400$85,78827.3% below
Average household size2.4 people2.4 people1.2% below
Owner households31.9%66.5%34.6 percentage points below
One-person households35.3%29.4%5.9 percentage points above
Families with children38.9%34.0%4.9 percentage points above
Bachelor's degree or higher23.3%26.5%3.2 percentage points below
Immigrant population47.6%22.9%24.7 percentage points above
Worked from home17.5%23.8%6.3 percentage points below

Local market context

Community activity around the audience

AudienceScout connects 10 local facility records with H1S. Education is the largest represented category with 5 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education5
Health care2
Culture and art0
Recreation3

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 16,958 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

13,142YouTube estimate · 62.7%
16,958Facebook estimate · 80.9%
10,430Instagram estimate · 49.8%
5,114TikTok estimate · 24.4%

Practical campaign implications

Turn the strongest H1S 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: 0.4%52.2 percentage points below the Canadian benchmark

    Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.

  • Owner households: 31.9%34.6 percentage points below the Canadian benchmark

    Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.

  • Immigrant population: 47.6%24.7 percentage points above the Canadian benchmark

    Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.

Related market context

Compare other Saint-Léonard postal regions

These regions share the Saint-Léonard postal community and are ordered by population similarity to H1S.

H1S audience questions

Using this postal-region profile

How large is the audience in H1S?

H1S represents 26,715 residents and 10,620 households in Saint-Léonard. The average household size is 2.4 people.

What demographic characteristics stand out in H1S?

Single-detached homes is 0.4%, 52.2 percentage points below the Canadian postal-region benchmark; Owner households is 31.9%, 34.6 percentage points below the Canadian postal-region benchmark; Immigrant population is 47.6%, 24.7 percentage points above the Canadian postal-region benchmark.

How does H1S compare with another postal region?

H1R is one useful Saint-Léonard postal-region comparison because its population is similar to H1S. It has 12.2% higher median income · 2.7 years younger on average.

How can I find other regions that match the H1S audience?

To find regions with a profile similar to H1S, begin with home ownership near 31.9% and household income near $62,400. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in H1S?

Import postal codes to measure customer concentration in H1S, 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.