British Columbia postal region

V3E 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.

AudienceScoutV3E · Port Coquitlam
Loading the V3E boundary…
Postal code boundary map for V3E.

Market profile

A market of 42,030 people

Size the opportunity, understand its household composition, and identify the local patterns that make V3E different from the typical Canadian postal region.

Population42,030
Households13,930
Median income$113,000
Average age39.8

V3E market summary

What distinguishes this postal-region audience

V3E represents 42,030 residents and 13,930 households in Port Coquitlam. Its average household contains 3.0 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: 50.7%, or 27.8 percentage points above the benchmark. Families with children is 51.0%, 17.0 percentage points above the benchmark.

For campaign planning, these patterns give V3E 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 V3E

To find regions with a profile similar to V3E, begin with families with children near 51.0% and household income near $113,000. 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 V3E and the Canadian postal-region benchmark.

27.8 percentage points above benchmark

Immigrant population

50.7%

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

17.0 percentage points above benchmark

Families with children

51.0%

Test family-oriented services, household value, education, recreation, and parent-focused creative.

16.7 percentage points below benchmark

One-person households

12.7%

Give household decision-making, shared-use products, and multi-person value greater emphasis.

31.7% above benchmark

Median household income

$113,000

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

Detailed comparison

How V3E compares with the Canadian benchmark

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

MeasureV3ECanada FSA benchmarkDifference
Median household income$113,000$85,78831.7% above
Average household size3.0 people2.4 people23.5% above
Owner households81.2%66.5%14.7 percentage points above
One-person households12.7%29.4%16.7 percentage points below
Families with children51.0%34.0%17.0 percentage points above
Bachelor's degree or higher41.3%26.5%14.8 percentage points above
Immigrant population50.7%22.9%27.8 percentage points above
Worked from home31.3%23.8%7.5 percentage points above

Local market context

Community activity around the audience

AudienceScout connects 13 local facility records with V3E. Education is the largest represented category with 10 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education10
Health care3
Culture and art0
Recreation0

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 27,029 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

21,376YouTube estimate · 64.4%
27,029Facebook estimate · 81.5%
17,155Instagram estimate · 51.7%
8,707TikTok estimate · 26.2%

Practical campaign implications

Turn the strongest V3E signals into campaign tests

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

  • Immigrant population: 50.7%27.8 percentage points above the Canadian benchmark

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

  • Families with children: 51.0%17.0 percentage points above the Canadian benchmark

    Test family-oriented services, household value, education, recreation, and parent-focused creative.

  • One-person households: 12.7%16.7 percentage points below the Canadian benchmark

    Give household decision-making, shared-use products, and multi-person value greater emphasis.

Related market context

Compare other Port Coquitlam postal regions

These regions share the Port Coquitlam postal community and are ordered by population similarity to V3E.

V3E audience questions

Using this postal-region profile

How large is the audience in V3E?

V3E represents 42,030 residents and 13,930 households in Port Coquitlam. The average household size is 3.0 people.

What demographic characteristics stand out in V3E?

Immigrant population is 50.7%, 27.8 percentage points above the Canadian postal-region benchmark; Families with children is 51.0%, 17.0 percentage points above the Canadian postal-region benchmark; One-person households is 12.7%, 16.7 percentage points below the Canadian postal-region benchmark.

How does V3E compare with another postal region?

V3C is one useful Port Coquitlam postal-region comparison because its population is similar to V3E. It has 9.7% lower median income · 2.4 years older on average.

How can I find other regions that match the V3E audience?

To find regions with a profile similar to V3E, begin with families with children near 51.0% and household income near $113,000. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in V3E?

Import postal codes to measure customer concentration in V3E, 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.