British Columbia postal region

V3L demographics and market profile

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

AudienceScoutV3L · New Westminster
Loading the V3L boundary…
Postal code boundary map for V3L.

Market profile

A market of 30,988 people

Size the opportunity, understand its household composition, and identify the local patterns that make V3L different from the typical Canadian postal region.

Population30,988
Households14,220
Median income$85,000
Average age42.4

V3L market summary

What distinguishes this postal-region audience

V3L represents 30,988 residents and 14,220 households in New Westminster. Its average household contains 2.1 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: 19.3%, or 33.3 percentage points below the benchmark. Bachelor's degree or higher is 38.9%, 12.4 percentage points above the benchmark.

For campaign planning, these patterns give V3L 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 New Westminster.

Audience matching

Find more regions that resemble V3L

To find regions with a profile similar to V3L, begin with university education near 38.9% and home ownership near 56.8%. 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 V3L and the Canadian postal-region benchmark.

33.3 percentage points below benchmark

Single-detached homes

19.3%

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

12.4 percentage points above benchmark

Bachelor's degree or higher

38.9%

Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.

9.7 percentage points below benchmark

Owner households

56.8%

Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.

9.1 percentage points above benchmark

Immigrant population

32.0%

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

Detailed comparison

How V3L compares with the Canadian benchmark

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

MeasureV3LCanada FSA benchmarkDifference
Median household income$85,000$85,7880.9% below
Average household size2.1 people2.4 people13.6% below
Owner households56.8%66.5%9.7 percentage points below
One-person households37.1%29.4%7.8 percentage points above
Families with children27.2%34.0%6.8 percentage points below
Bachelor's degree or higher38.9%26.5%12.4 percentage points above
Immigrant population32.0%22.9%9.1 percentage points above
Worked from home29.1%23.8%5.3 percentage points above

Local market context

Community activity around the audience

AudienceScout connects 164 local facility records with V3L. Recreation is the largest represented category with 112 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education13
Health care12
Culture and art27
Recreation112

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 21,233 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

17,001YouTube estimate · 65.6%
21,233Facebook estimate · 81.9%
13,599Instagram estimate · 52.5%
6,793TikTok estimate · 26.2%

Practical campaign implications

Turn the strongest V3L 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: 19.3%33.3 percentage points below the Canadian benchmark

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

  • Bachelor's degree or higher: 38.9%12.4 percentage points above the Canadian benchmark

    Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.

  • Owner households: 56.8%9.7 percentage points below the Canadian benchmark

    Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.

Related market context

Compare other New Westminster postal regions

These regions share the New Westminster postal community and are ordered by population similarity to V3L.

V3L audience questions

Using this postal-region profile

How large is the audience in V3L?

V3L represents 30,988 residents and 14,220 households in New Westminster. The average household size is 2.1 people.

What demographic characteristics stand out in V3L?

Single-detached homes is 19.3%, 33.3 percentage points below the Canadian postal-region benchmark; Bachelor's degree or higher is 38.9%, 12.4 percentage points above the Canadian postal-region benchmark; Owner households is 56.8%, 9.7 percentage points below the Canadian postal-region benchmark.

How does V3L compare with another postal region?

V3M is one useful New Westminster postal-region comparison because its population is similar to V3L. It has 5.9% lower median income · 0.8 years younger on average.

How can I find other regions that match the V3L audience?

To find regions with a profile similar to V3L, begin with university education near 38.9% and home ownership near 56.8%. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in V3L?

Import postal codes to measure customer concentration in V3L, 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.