Ontario postal region

M3C 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.

AudienceScoutM3C · Don Mills
Loading the M3C boundary…
Postal code boundary map for M3C.

Market profile

A market of 39,616 people

Size the opportunity, understand its household composition, and identify the local patterns that make M3C different from the typical Canadian postal region.

Population39,616
Households16,250
Median income$74,500
Average age41.7

M3C market summary

What distinguishes this postal-region audience

M3C represents 39,616 residents and 16,250 households in Don Mills. Its average household contains 2.4 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: 4.4%, or 48.2 percentage points below the benchmark. Immigrant population is 58.7%, 35.8 percentage points above the benchmark.

For campaign planning, these patterns give M3C 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 M3C

To find regions with a profile similar to M3C, begin with home ownership near 45.0% and university education near 37.4%. 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 M3C and the Canadian postal-region benchmark.

48.2 percentage points below benchmark

Single-detached homes

4.4%

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

35.8 percentage points above benchmark

Immigrant population

58.7%

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

21.5 percentage points below benchmark

Owner households

45.0%

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

10.9 percentage points above benchmark

Bachelor's degree or higher

37.4%

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

Detailed comparison

How M3C compares with the Canadian benchmark

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

MeasureM3CCanada FSA benchmarkDifference
Median household income$74,500$85,78813.2% below
Average household size2.4 people2.4 people1.2% below
Owner households45.0%66.5%21.5 percentage points below
One-person households33.1%29.4%3.8 percentage points above
Families with children36.2%34.0%2.2 percentage points above
Bachelor's degree or higher37.4%26.5%10.9 percentage points above
Immigrant population58.7%22.9%35.8 percentage points above
Worked from home32.7%23.8%8.9 percentage points above

Local market context

Community activity around the audience

AudienceScout connects 124 local facility records with M3C. Recreation is the largest represented category with 92 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education15
Health care8
Culture and art9
Recreation92

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 25,999 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

20,706YouTube estimate · 65.0%
25,999Facebook estimate · 81.7%
16,659Instagram estimate · 52.3%
8,512TikTok estimate · 26.7%

Practical campaign implications

Turn the strongest M3C 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: 4.4%48.2 percentage points below the Canadian benchmark

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

  • Immigrant population: 58.7%35.8 percentage points above the Canadian benchmark

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

  • Owner households: 45.0%21.5 percentage points below the Canadian benchmark

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

Related market context

Compare other Don Mills postal regions

These regions share the Don Mills postal community and are ordered by population similarity to M3C.

M3C audience questions

Using this postal-region profile

How large is the audience in M3C?

M3C represents 39,616 residents and 16,250 households in Don Mills. The average household size is 2.4 people.

What demographic characteristics stand out in M3C?

Single-detached homes is 4.4%, 48.2 percentage points below the Canadian postal-region benchmark; Immigrant population is 58.7%, 35.8 percentage points above the Canadian postal-region benchmark; Owner households is 45.0%, 21.5 percentage points below the Canadian postal-region benchmark.

How does M3C compare with another postal region?

M3B is one useful Don Mills postal-region comparison because its population is similar to M3C. It has 62.4% higher median income · 4.2 years older on average.

How can I find other regions that match the M3C audience?

To find regions with a profile similar to M3C, begin with home ownership near 45.0% and university education near 37.4%. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in M3C?

Import postal codes to measure customer concentration in M3C, 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.