British Columbia postal region

V3C demographics and market profile

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

AudienceScoutV3C · Port Coquitlam
Loading the V3C boundary…
Postal code boundary map for V3C.

Market profile

A market of 39,448 people

Size the opportunity, understand its household composition, and identify the local patterns that make V3C different from the typical Canadian postal region.

Population39,448
Households14,815
Median income$102,000
Average age42.2

V3C market summary

What distinguishes this postal-region audience

V3C represents 39,448 residents and 14,815 households in Port Coquitlam. Its average household contains 2.6 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: 37.4%, or 15.2 percentage points below the benchmark. Immigrant population is 36.0%, 13.1 percentage points above the benchmark.

For campaign planning, these patterns give V3C 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 Port Coquitlam.

Audience matching

Find more regions that resemble V3C

To find regions with a profile similar to V3C, begin with home ownership near 79.5% and household income near $102,000. 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 V3C and the Canadian postal-region benchmark.

15.2 percentage points below benchmark

Single-detached homes

37.4%

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

13.1 percentage points above benchmark

Immigrant population

36.0%

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

13.0 percentage points above benchmark

Owner households

79.5%

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

18.9% above benchmark

Median household income

$102,000

Test premium, higher-consideration, or value-led offers grounded in a clear customer benefit.

Detailed comparison

How V3C compares with the Canadian benchmark

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

MeasureV3CCanada FSA benchmarkDifference
Median household income$102,000$85,78818.9% above
Average household size2.6 people2.4 people7.0% above
Owner households79.5%66.5%13.0 percentage points above
One-person households23.5%29.4%5.9 percentage points below
Families with children39.3%34.0%5.3 percentage points above
Bachelor's degree or higher28.3%26.5%1.8 percentage points above
Immigrant population36.0%22.9%13.1 percentage points above
Worked from home23.6%23.8%0.2 percentage points below

Local market context

Community activity around the audience

AudienceScout connects 26 local facility records with V3C. Education is the largest represented category with 17 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education17
Health care7
Culture and art2
Recreation0

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 26,216 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

20,632YouTube estimate · 64.0%
26,216Facebook estimate · 81.4%
16,483Instagram estimate · 51.2%
8,242TikTok estimate · 25.6%

Practical campaign implications

Turn the strongest V3C 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: 37.4%15.2 percentage points below the Canadian benchmark

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

  • Immigrant population: 36.0%13.1 percentage points above the Canadian benchmark

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

  • Owner households: 79.5%13.0 percentage points above the Canadian benchmark

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

Related market context

Compare other Port Coquitlam postal regions

These regions share the Port Coquitlam postal community and are ordered by population similarity to V3C.

V3C audience questions

Using this postal-region profile

How large is the audience in V3C?

V3C represents 39,448 residents and 14,815 households in Port Coquitlam. The average household size is 2.6 people.

What demographic characteristics stand out in V3C?

Single-detached homes is 37.4%, 15.2 percentage points below the Canadian postal-region benchmark; Immigrant population is 36.0%, 13.1 percentage points above the Canadian postal-region benchmark; Owner households is 79.5%, 13.0 percentage points above the Canadian postal-region benchmark.

How does V3C compare with another postal region?

V3E is one useful Port Coquitlam postal-region comparison because its population is similar to V3C. It has 10.8% higher median income · 2.4 years younger on average.

How can I find other regions that match the V3C audience?

To find regions with a profile similar to V3C, begin with home ownership near 79.5% and household income near $102,000. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in V3C?

Import postal codes to measure customer concentration in V3C, 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.