Ontario postal region

M3B demographics and market profile

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

AudienceScoutM3B · Don Mills
Loading the M3B boundary…
Postal code boundary map for M3B.

Market profile

A market of 12,880 people

Size the opportunity, understand its household composition, and identify the local patterns that make M3B different from the typical Canadian postal region.

Population12,880
Households4,960
Median income$121,000
Average age45.9

M3B market summary

What distinguishes this postal-region audience

M3B represents 12,880 residents and 4,960 households in Don Mills. 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 university education: 55.7%, or 29.2 percentage points above the benchmark. Immigrant population is 47.6%, 24.7 percentage points above the benchmark.

For campaign planning, these patterns give M3B 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 Don Mills.

Audience matching

Find more regions that resemble M3B

To find regions with a profile similar to M3B, begin with university education near 55.7% and household income near $121,000. 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 M3B and the Canadian postal-region benchmark.

29.2 percentage points above benchmark

Bachelor's degree or higher

55.7%

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

24.7 percentage points above benchmark

Immigrant population

47.6%

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

22.9 percentage points above benchmark

Worked from home

46.7%

Daytime digital, local delivery, home-office, and neighbourhood-service campaigns may warrant additional testing.

41.0% above benchmark

Median household income

$121,000

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

Detailed comparison

How M3B compares with the Canadian benchmark

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

MeasureM3BCanada FSA benchmarkDifference
Median household income$121,000$85,78841.0% above
Average household size2.6 people2.4 people7.0% above
Owner households77.3%66.5%10.8 percentage points above
One-person households25.0%29.4%4.4 percentage points below
Families with children41.6%34.0%7.6 percentage points above
Bachelor's degree or higher55.7%26.5%29.2 percentage points above
Immigrant population47.6%22.9%24.7 percentage points above
Worked from home46.7%23.8%22.9 percentage points above

Local market context

Community activity around the audience

AudienceScout connects 132 local facility records with M3B. Recreation is the largest represented category with 102 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education27
Health care2
Culture and art1
Recreation102

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 8,537 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

6,478YouTube estimate · 60.9%
8,537Facebook estimate · 80.2%
5,159Instagram estimate · 48.5%
2,579TikTok estimate · 24.2%

Practical campaign implications

Turn the strongest M3B signals into campaign tests

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

  • Bachelor's degree or higher: 55.7%29.2 percentage points above the Canadian benchmark

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

  • Immigrant population: 47.6%24.7 percentage points above the Canadian benchmark

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

  • Worked from home: 46.7%22.9 percentage points above the Canadian benchmark

    Daytime digital, local delivery, home-office, and neighbourhood-service campaigns may warrant additional testing.

Related market context

Compare other Don Mills postal regions

These regions share the Don Mills postal community and are ordered by population similarity to M3B.

M3B audience questions

Using this postal-region profile

How large is the audience in M3B?

M3B represents 12,880 residents and 4,960 households in Don Mills. The average household size is 2.6 people.

What demographic characteristics stand out in M3B?

Bachelor's degree or higher is 55.7%, 29.2 percentage points above the Canadian postal-region benchmark; Immigrant population is 47.6%, 24.7 percentage points above the Canadian postal-region benchmark; Worked from home is 46.7%, 22.9 percentage points above the Canadian postal-region benchmark.

How does M3B compare with another postal region?

M3C is one useful Don Mills postal-region comparison because its population is similar to M3B. It has 38.4% lower median income · 4.2 years younger on average.

How can I find other regions that match the M3B audience?

To find regions with a profile similar to M3B, begin with university education near 55.7% and household income near $121,000. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in M3B?

Import postal codes to measure customer concentration in M3B, 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.