British Columbia postal region

V9N demographics and market profile

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

AudienceScoutV9N · Courtenay
Loading the V9N boundary…
Postal code boundary map for V9N.

Market profile

A market of 32,956 people

Size the opportunity, understand its household composition, and identify the local patterns that make V9N different from the typical Canadian postal region.

Population32,956
Households14,850
Median income$74,000
Average age46.7

V9N market summary

What distinguishes this postal-region audience

V9N represents 32,956 residents and 14,850 households in Courtenay. 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: 13.0%, or 9.9 percentage points below the benchmark. Worked from home is 14.9%, 8.9 percentage points below the benchmark.

For campaign planning, these patterns give V9N 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 Courtenay.

Audience matching

Find more regions that resemble V9N

To find regions with a profile similar to V9N, begin with age 65+ share near 27.6% and families with children near 25.7%. 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 V9N and the Canadian postal-region benchmark.

9.9 percentage points below benchmark

Immigrant population

13.0%

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

8.9 percentage points below benchmark

Worked from home

14.9%

Commuter occasions, workplace-adjacent placements, and time-of-day planning may play a larger role.

8.6 percentage points above benchmark

Population age 65+

27.6%

Accessibility, clarity, trust, health, leisure, and established-household needs can carry more weight in campaign planning.

8.3 percentage points below benchmark

Families with children

25.7%

Broaden the creative beyond parent-led needs toward adults, couples, and smaller-household occasions.

Detailed comparison

How V9N compares with the Canadian benchmark

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

MeasureV9NCanada FSA benchmarkDifference
Median household income$74,000$85,78813.7% below
Average household size2.2 people2.4 people9.5% below
Owner households73.1%66.5%6.6 percentage points above
One-person households31.3%29.4%1.9 percentage points above
Families with children25.7%34.0%8.3 percentage points below
Bachelor's degree or higher20.6%26.5%5.9 percentage points below
Immigrant population13.0%22.9%9.9 percentage points below
Worked from home14.9%23.8%8.9 percentage points below

Local market context

Community activity around the audience

AudienceScout connects 156 local facility records with V9N. Recreation is the largest represented category with 125 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education15
Health care11
Culture and art5
Recreation125

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 22,155 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

16,885YouTube estimate · 61.3%
22,155Facebook estimate · 80.5%
13,312Instagram estimate · 48.4%
6,401TikTok estimate · 23.3%

Practical campaign implications

Turn the strongest V9N signals into campaign tests

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

  • Immigrant population: 13.0%9.9 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.

  • Worked from home: 14.9%8.9 percentage points below the Canadian benchmark

    Commuter occasions, workplace-adjacent placements, and time-of-day planning may play a larger role.

  • Population age 65+: 27.6%8.6 percentage points above the Canadian benchmark

    Accessibility, clarity, trust, health, leisure, and established-household needs can carry more weight in campaign planning.

Related market context

Compare other Courtenay postal regions

These regions share the Courtenay postal community and are ordered by population similarity to V9N.

V9N audience questions

Using this postal-region profile

How large is the audience in V9N?

V9N represents 32,956 residents and 14,850 households in Courtenay. The average household size is 2.2 people.

What demographic characteristics stand out in V9N?

Immigrant population is 13.0%, 9.9 percentage points below the Canadian postal-region benchmark; Worked from home is 14.9%, 8.9 percentage points below the Canadian postal-region benchmark; Population age 65+ is 27.6%, 8.6 percentage points above the Canadian postal-region benchmark.

How does V9N compare with another postal region?

V9J is one useful Courtenay postal-region comparison because its population is similar to V9N. It has 18.9% higher median income · 0.6 years older on average.

How can I find other regions that match the V9N audience?

To find regions with a profile similar to V9N, begin with age 65+ share near 27.6% and families with children near 25.7%. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in V9N?

Import postal codes to measure customer concentration in V9N, 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.