Ontario postal region

M2R demographics and market profile

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

AudienceScoutM2R · Willowdale
Loading the M2R boundary…
Postal code boundary map for M2R.

Market profile

A market of 40,581 people

Size the opportunity, understand its household composition, and identify the local patterns that make M2R different from the typical Canadian postal region.

Population40,581
Households15,365
Median income$78,000
Average age44.1

M2R market summary

What distinguishes this postal-region audience

M2R represents 40,581 residents and 15,365 households in Willowdale. 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 immigrant population: 64.6%, or 41.7 percentage points above the benchmark. Single-detached homes is 21.2%, 31.4 percentage points below the benchmark.

For campaign planning, these patterns give M2R 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 Willowdale.

Audience matching

Find more regions that resemble M2R

To find regions with a profile similar to M2R, begin with home ownership near 44.0% and university education near 39.1%. 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 M2R and the Canadian postal-region benchmark.

41.7 percentage points above benchmark

Immigrant population

64.6%

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

31.4 percentage points below benchmark

Single-detached homes

21.2%

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

22.5 percentage points below benchmark

Owner households

44.0%

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

12.6 percentage points above benchmark

Bachelor's degree or higher

39.1%

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

Detailed comparison

How M2R compares with the Canadian benchmark

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

MeasureM2RCanada FSA benchmarkDifference
Median household income$78,000$85,7889.1% below
Average household size2.6 people2.4 people7.0% above
Owner households44.0%66.5%22.5 percentage points below
One-person households26.2%29.4%3.2 percentage points below
Families with children36.5%34.0%2.5 percentage points above
Bachelor's degree or higher39.1%26.5%12.6 percentage points above
Immigrant population64.6%22.9%41.7 percentage points above
Worked from home24.7%23.8%0.9 percentage points above

Local market context

Community activity around the audience

AudienceScout connects 89 local facility records with M2R. Recreation is the largest represented category with 63 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education14
Health care8
Culture and art4
Recreation63

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 27,521 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

21,588YouTube estimate · 63.7%
27,521Facebook estimate · 81.2%
17,294Instagram estimate · 51.0%
8,742TikTok estimate · 25.8%

Practical campaign implications

Turn the strongest M2R signals into campaign tests

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

  • Immigrant population: 64.6%41.7 percentage points above the Canadian benchmark

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

  • Single-detached homes: 21.2%31.4 percentage points below the Canadian benchmark

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

  • Owner households: 44.0%22.5 percentage points below the Canadian benchmark

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

Related market context

Compare other Willowdale postal regions

These regions share the Willowdale postal community and are ordered by population similarity to M2R.

M2R audience questions

Using this postal-region profile

How large is the audience in M2R?

M2R represents 40,581 residents and 15,365 households in Willowdale. The average household size is 2.6 people.

What demographic characteristics stand out in M2R?

Immigrant population is 64.6%, 41.7 percentage points above the Canadian postal-region benchmark; Single-detached homes is 21.2%, 31.4 percentage points below the Canadian postal-region benchmark; Owner households is 44.0%, 22.5 percentage points below the Canadian postal-region benchmark.

How does M2R compare with another postal region?

M2M is one useful Willowdale postal-region comparison because its population is similar to M2R. It has 3.8% higher median income · 1.0 years older on average.

How can I find other regions that match the M2R audience?

To find regions with a profile similar to M2R, begin with home ownership near 44.0% and university education near 39.1%. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in M2R?

Import postal codes to measure customer concentration in M2R, 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.