Ontario postal region

P1A demographics and market profile

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

AudienceScoutP1A · North Bay
Loading the P1A boundary…
Postal code boundary map for P1A.

Market profile

A market of 16,959 people

Size the opportunity, understand its household composition, and identify the local patterns that make P1A different from the typical Canadian postal region.

Population16,959
Households7,435
Median income$74,000
Average age43.9

P1A market summary

What distinguishes this postal-region audience

P1A represents 16,959 residents and 7,435 households in North Bay. 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: 4.0%, or 18.9 percentage points below the benchmark. Bachelor's degree or higher is 17.6%, 8.9 percentage points below the benchmark.

For campaign planning, these patterns give P1A 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 North Bay.

Audience matching

Find more regions that resemble P1A

To find regions with a profile similar to P1A, begin with university education near 17.6% and household income near $74,000. 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 P1A and the Canadian postal-region benchmark.

18.9 percentage points below benchmark

Immigrant population

4.0%

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

8.9 percentage points below benchmark

Bachelor's degree or higher

17.6%

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

8.7 percentage points below benchmark

Single-detached homes

43.9%

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

13.7% below benchmark

Median household income

$74,000

Lead with practical value, accessible pricing, savings, or efficiency when testing offers in this region.

Detailed comparison

How P1A compares with the Canadian benchmark

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

MeasureP1ACanada FSA benchmarkDifference
Median household income$74,000$85,78813.7% below
Average household size2.2 people2.4 people9.5% below
Owner households61.5%66.5%5.0 percentage points below
One-person households30.6%29.4%1.3 percentage points above
Families with children32.3%34.0%1.7 percentage points below
Bachelor's degree or higher17.6%26.5%8.9 percentage points below
Immigrant population4.0%22.9%18.9 percentage points below
Worked from home18.4%23.8%5.4 percentage points below

Local market context

Community activity around the audience

AudienceScout connects 9 local facility records with P1A. Education is the largest represented category with 7 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education7
Health care2
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 11,108 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

8,608YouTube estimate · 62.7%
11,108Facebook estimate · 80.9%
6,849Instagram estimate · 49.9%
3,391TikTok estimate · 24.7%

Practical campaign implications

Turn the strongest P1A signals into campaign tests

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

  • Immigrant population: 4.0%18.9 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.

  • Bachelor's degree or higher: 17.6%8.9 percentage points below the Canadian benchmark

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

  • Single-detached homes: 43.9%8.7 percentage points below the Canadian benchmark

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

Related market context

Compare other North Bay postal regions

These regions share the North Bay postal community and are ordered by population similarity to P1A.

P1A audience questions

Using this postal-region profile

How large is the audience in P1A?

P1A represents 16,959 residents and 7,435 households in North Bay. The average household size is 2.2 people.

What demographic characteristics stand out in P1A?

Immigrant population is 4.0%, 18.9 percentage points below the Canadian postal-region benchmark; Bachelor's degree or higher is 17.6%, 8.9 percentage points below the Canadian postal-region benchmark; Single-detached homes is 43.9%, 8.7 percentage points below the Canadian postal-region benchmark.

How does P1A compare with another postal region?

P1C is one useful North Bay postal-region comparison because its population is similar to P1A. It has 106.8% higher median income · 3.0 years younger on average.

How can I find other regions that match the P1A audience?

To find regions with a profile similar to P1A, begin with university education near 17.6% and household income near $74,000. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in P1A?

Import postal codes to measure customer concentration in P1A, 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.