British Columbia postal region

V9H demographics and market profile

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

AudienceScoutV9H · Campbell River
Loading the V9H boundary…
Postal code boundary map for V9H.

Market profile

A market of 10,137 people

Size the opportunity, understand its household composition, and identify the local patterns that make V9H different from the typical Canadian postal region.

Population10,137
Households4,085
Median income$95,000
Average age45.5

V9H market summary

What distinguishes this postal-region audience

V9H represents 10,137 residents and 4,085 households in Campbell River. Its average household contains 2.5 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: 83.5%, or 30.9 percentage points above the benchmark. Owner households is 89.3%, 22.8 percentage points above the benchmark.

For campaign planning, these patterns give V9H 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 Campbell River.

Audience matching

Find more regions that resemble V9H

To find regions with a profile similar to V9H, begin with home ownership near 89.3% and university education near 15.7%. 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 V9H and the Canadian postal-region benchmark.

30.9 percentage points above benchmark

Single-detached homes

83.5%

Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.

22.8 percentage points above benchmark

Owner households

89.3%

Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.

12.0 percentage points below benchmark

Immigrant population

10.9%

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

10.8 percentage points below benchmark

Bachelor's degree or higher

15.7%

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

Detailed comparison

How V9H compares with the Canadian benchmark

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

MeasureV9HCanada FSA benchmarkDifference
Median household income$95,000$85,78810.7% above
Average household size2.5 people2.4 people2.9% above
Owner households89.3%66.5%22.8 percentage points above
One-person households19.7%29.4%9.7 percentage points below
Families with children30.7%34.0%3.3 percentage points below
Bachelor's degree or higher15.7%26.5%10.8 percentage points below
Immigrant population10.9%22.9%12.0 percentage points below
Worked from home13.6%23.8%10.2 percentage points below

Local market context

Community activity around the audience

AudienceScout connects 23 local facility records with V9H. Recreation is the largest represented category with 15 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education4
Health care4
Culture and art0
Recreation15

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 6,709 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

5,076YouTube estimate · 60.8%
6,709Facebook estimate · 80.3%
3,977Instagram estimate · 47.6%
1,872TikTok estimate · 22.4%

Practical campaign implications

Turn the strongest V9H 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: 83.5%30.9 percentage points above the Canadian benchmark

    Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.

  • Owner households: 89.3%22.8 percentage points above the Canadian benchmark

    Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.

  • Immigrant population: 10.9%12.0 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.

Related market context

Compare other Campbell River postal regions

These regions share the Campbell River postal community and are ordered by population similarity to V9H.

V9H audience questions

Using this postal-region profile

How large is the audience in V9H?

V9H represents 10,137 residents and 4,085 households in Campbell River. The average household size is 2.5 people.

What demographic characteristics stand out in V9H?

Single-detached homes is 83.5%, 30.9 percentage points above the Canadian postal-region benchmark; Owner households is 89.3%, 22.8 percentage points above the Canadian postal-region benchmark; Immigrant population is 10.9%, 12.0 percentage points below the Canadian postal-region benchmark.

How does V9H compare with another postal region?

V9W is one useful Campbell River postal-region comparison because its population is similar to V9H. It has 22.1% lower median income · 0.4 years older on average.

How can I find other regions that match the V9H audience?

To find regions with a profile similar to V9H, begin with home ownership near 89.3% and university education near 15.7%. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in V9H?

Import postal codes to measure customer concentration in V9H, 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.