Quebec postal region

G2B demographics and market profile

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

AudienceScoutG2B · Loretteville
Loading the G2B boundary…
Postal code boundary map for G2B.

Market profile

A market of 24,936 people

Size the opportunity, understand its household composition, and identify the local patterns that make G2B different from the typical Canadian postal region.

Population24,936
Households11,265
Median income$76,500
Average age43.1

G2B market summary

What distinguishes this postal-region audience

G2B represents 24,936 residents and 11,265 households in Loretteville. Its average household contains 2.2 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: 5.5%, or 17.4 percentage points below the benchmark. Single-detached homes is 41.5%, 11.1 percentage points below the benchmark.

For campaign planning, these patterns give G2B 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 Loretteville.

Audience matching

Find more regions that resemble G2B

To find regions with a profile similar to G2B, begin with home ownership near 58.9% and university education near 20.8%. 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 G2B and the Canadian postal-region benchmark.

17.4 percentage points below benchmark

Immigrant population

5.5%

Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.

11.1 percentage points below benchmark

Single-detached homes

41.5%

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

7.6 percentage points below benchmark

Owner households

58.9%

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

5.7 percentage points below benchmark

Bachelor's degree or higher

20.8%

Use direct, practical language that demonstrates the everyday value of the offer.

Detailed comparison

How G2B compares with the Canadian benchmark

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

MeasureG2BCanada FSA benchmarkDifference
Median household income$76,500$85,78810.8% below
Average household size2.2 people2.4 people9.5% below
Owner households58.9%66.5%7.6 percentage points below
One-person households34.2%29.4%4.9 percentage points above
Families with children31.9%34.0%2.1 percentage points below
Bachelor's degree or higher20.8%26.5%5.7 percentage points below
Immigrant population5.5%22.9%17.4 percentage points below
Worked from home23.9%23.8%0.1 percentage points above

Local market context

Community activity around the audience

AudienceScout connects 32 local facility records with G2B. Recreation is the largest represented category with 14 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education12
Health care3
Culture and art3
Recreation14

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 16,133 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

12,552YouTube estimate · 63.1%
16,133Facebook estimate · 81.1%
9,974Instagram estimate · 50.1%
4,906TikTok estimate · 24.6%

Practical campaign implications

Turn the strongest G2B signals into campaign tests

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

  • Immigrant population: 5.5%17.4 percentage points below the Canadian benchmark

    Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.

  • Single-detached homes: 41.5%11.1 percentage points below the Canadian benchmark

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

  • Owner households: 58.9%7.6 percentage points below the Canadian benchmark

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

Related market context

Compare other Loretteville postal regions

These regions share the Loretteville postal community and are ordered by population similarity to G2B.

G2B audience questions

Using this postal-region profile

How large is the audience in G2B?

G2B represents 24,936 residents and 11,265 households in Loretteville. The average household size is 2.2 people.

What demographic characteristics stand out in G2B?

Immigrant population is 5.5%, 17.4 percentage points below the Canadian postal-region benchmark; Single-detached homes is 41.5%, 11.1 percentage points below the Canadian postal-region benchmark; Owner households is 58.9%, 7.6 percentage points below the Canadian postal-region benchmark.

How does G2B compare with another postal region?

G2A is one useful Loretteville postal-region comparison because its population is similar to G2B. It has 17.6% higher median income · 0.8 years younger on average.

How can I find other regions that match the G2B audience?

To find regions with a profile similar to G2B, begin with home ownership near 58.9% and university education near 20.8%. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in G2B?

Import postal codes to measure customer concentration in G2B, 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.