Quebec postal region

H9B 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.

AudienceScoutH9B · Dollard-Des-Ormeaux
Loading the H9B boundary…
Postal code boundary map for H9B.

Market profile

A market of 21,104 people

Size the opportunity, understand its household composition, and identify the local patterns that make H9B different from the typical Canadian postal region.

Population21,104
Households7,580
Median income$87,000
Average age42.5

H9B market summary

What distinguishes this postal-region audience

H9B represents 21,104 residents and 7,580 households in Dollard-Des-Ormeaux. Its average household contains 2.8 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: 46.1%, or 23.2 percentage points above the benchmark. Single-detached homes is 42.0%, 10.6 percentage points below the benchmark.

For campaign planning, these patterns give H9B 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 H9B

To find regions with a profile similar to H9B, begin with families with children near 44.4%. 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 H9B and the Canadian postal-region benchmark.

23.2 percentage points above benchmark

Immigrant population

46.1%

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

10.6 percentage points below benchmark

Single-detached homes

42.0%

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

10.4 percentage points above benchmark

Families with children

44.4%

Test family-oriented services, household value, education, recreation, and parent-focused creative.

15.2% above benchmark

Average household size

2.8 people

Consider family packs, multi-person services, household bundles, and creative that speaks to shared decisions.

Detailed comparison

How H9B compares with the Canadian benchmark

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

MeasureH9BCanada FSA benchmarkDifference
Median household income$87,000$85,7881.4% above
Average household size2.8 people2.4 people15.2% above
Owner households70.6%66.5%4.1 percentage points above
One-person households23.3%29.4%6.1 percentage points below
Families with children44.4%34.0%10.4 percentage points above
Bachelor's degree or higher31.3%26.5%4.8 percentage points above
Immigrant population46.1%22.9%23.2 percentage points above
Worked from home24.6%23.8%0.8 percentage points above

Local market context

Community activity around the audience

AudienceScout connects 8 local facility records with H9B. Education is the largest represented category with 6 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education6
Health care1
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 13,641 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

10,679YouTube estimate · 63.5%
13,641Facebook estimate · 81.1%
8,579Instagram estimate · 51.0%
4,383TikTok estimate · 26.1%

Practical campaign implications

Turn the strongest H9B signals into campaign tests

Use these as evidence-based starting hypotheses, then validate them against campaign performance and your own customer results.

  • Immigrant population: 46.1%23.2 percentage points above the Canadian benchmark

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

  • Single-detached homes: 42.0%10.6 percentage points below the Canadian benchmark

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

  • 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.

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 H9B.

H9B audience questions

Using this postal-region profile

How large is the audience in H9B?

H9B represents 21,104 residents and 7,580 households in Dollard-Des-Ormeaux. The average household size is 2.8 people.

What demographic characteristics stand out in H9B?

Immigrant population is 46.1%, 23.2 percentage points above the Canadian postal-region benchmark; Single-detached homes is 42.0%, 10.6 percentage points below the Canadian postal-region benchmark; Families with children is 44.4%, 10.4 percentage points above the Canadian postal-region benchmark.

How does H9B compare with another postal region?

H9G is one useful Dollard-Des-Ormeaux postal-region comparison because its population is similar to H9B. It has 8.0% higher median income · 1.2 years older on average.

How can I find other regions that match the H9B audience?

To find regions with a profile similar to H9B, begin with families with children near 44.4%. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in H9B?

Import postal codes to measure customer concentration in H9B, 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.