British Columbia postal region

V9W 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.

AudienceScoutV9W · Campbell River
Loading the V9W boundary…
Postal code boundary map for V9W.

Market profile

A market of 30,783 people

Size the opportunity, understand its household composition, and identify the local patterns that make V9W different from the typical Canadian postal region.

Population30,783
Households13,655
Median income$74,000
Average age45.9

V9W market summary

What distinguishes this postal-region audience

V9W represents 30,783 residents and 13,655 households in Campbell River. 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: 10.1%, or 12.8 percentage points below the benchmark. Worked from home is 11.1%, 12.7 percentage points below the benchmark.

For campaign planning, these patterns give V9W 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 V9W

To find regions with a profile similar to V9W, begin with university education near 14.4% and age 65+ share near 26.3%. 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 V9W and the Canadian postal-region benchmark.

12.8 percentage points below benchmark

Immigrant population

10.1%

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

12.7 percentage points below benchmark

Worked from home

11.1%

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

12.1 percentage points below benchmark

Bachelor's degree or higher

14.4%

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

7.3 percentage points above benchmark

Population age 65+

26.3%

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

Detailed comparison

How V9W compares with the Canadian benchmark

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

MeasureV9WCanada FSA benchmarkDifference
Median household income$74,000$85,78813.7% below
Average household size2.2 people2.4 people9.5% below
Owner households68.8%66.5%2.3 percentage points above
One-person households31.1%29.4%1.8 percentage points above
Families with children26.8%34.0%7.2 percentage points below
Bachelor's degree or higher14.4%26.5%12.1 percentage points below
Immigrant population10.1%22.9%12.8 percentage points below
Worked from home11.1%23.8%12.7 percentage points below

Local market context

Community activity around the audience

AudienceScout connects 115 local facility records with V9W. Recreation is the largest represented category with 65 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education23
Health care17
Culture and art10
Recreation65

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 20,509 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

15,685YouTube estimate · 61.6%
20,509Facebook estimate · 80.6%
12,385Instagram estimate · 48.7%
5,983TikTok estimate · 23.5%

Practical campaign implications

Turn the strongest V9W signals into campaign tests

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

  • Immigrant population: 10.1%12.8 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: 11.1%12.7 percentage points below the Canadian benchmark

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

  • Bachelor's degree or higher: 14.4%12.1 percentage points below the Canadian benchmark

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

Related market context

Compare other Campbell River postal regions

These regions share the Campbell River postal community and are ordered by population similarity to V9W.

V9W audience questions

Using this postal-region profile

How large is the audience in V9W?

V9W represents 30,783 residents and 13,655 households in Campbell River. The average household size is 2.2 people.

What demographic characteristics stand out in V9W?

Immigrant population is 10.1%, 12.8 percentage points below the Canadian postal-region benchmark; Worked from home is 11.1%, 12.7 percentage points below the Canadian postal-region benchmark; Bachelor's degree or higher is 14.4%, 12.1 percentage points below the Canadian postal-region benchmark.

How does V9W compare with another postal region?

V9H is one useful Campbell River postal-region comparison because its population is similar to V9W. It has 28.4% higher median income · 0.4 years younger on average.

How can I find other regions that match the V9W audience?

To find regions with a profile similar to V9W, begin with university education near 14.4% and age 65+ share near 26.3%. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in V9W?

Import postal codes to measure customer concentration in V9W, 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.