Ontario postal region

M9L 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 York.

AudienceScoutM9L · North York
Loading the M9L boundary…
Postal code boundary map for M9L.

Market profile

A market of 11,737 people

Size the opportunity, understand its household composition, and identify the local patterns that make M9L different from the typical Canadian postal region.

Population11,737
Households3,775
Median income$81,000
Average age42.3

M9L market summary

What distinguishes this postal-region audience

M9L represents 11,737 residents and 3,775 households in North York. Its average household contains 3.1 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: 14.0%, or 38.6 percentage points below the benchmark. Immigrant population is 55.3%, 32.4 percentage points above the benchmark.

For campaign planning, these patterns give M9L 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 York.

Audience matching

Find more regions that resemble M9L

Use the available income, household, age, family, ownership, and education measures to build a repeatable audience-matching rule around M9L.

Match This Audience

Distinctive market signals

The characteristics with the largest local differences

These four characteristics show the largest available differences between M9L and the Canadian postal-region benchmark.

38.6 percentage points below benchmark

Single-detached homes

14.0%

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

32.4 percentage points above benchmark

Immigrant population

55.3%

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

27.6% above benchmark

Average household size

3.1 people

Consider family packs, multi-person services, household bundles, and creative that speaks to shared decisions.

10.9 percentage points below benchmark

One-person households

18.5%

Give household decision-making, shared-use products, and multi-person value greater emphasis.

Detailed comparison

How M9L compares with the Canadian benchmark

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

MeasureM9LCanada FSA benchmarkDifference
Median household income$81,000$85,7885.6% below
Average household size3.1 people2.4 people27.6% above
Owner households74.5%66.5%8.0 percentage points above
One-person households18.5%29.4%10.9 percentage points below
Families with children42.1%34.0%8.1 percentage points above
Bachelor's degree or higher19.7%26.5%6.8 percentage points below
Immigrant population55.3%22.9%32.4 percentage points above
Worked from home16.4%23.8%7.4 percentage points below

Local market context

Community activity around the audience

AudienceScout connects 35 local facility records with M9L. Recreation is the largest represented category with 29 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education5
Health care0
Culture and art1
Recreation29

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 7,728 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

6,121YouTube estimate · 64.5%
7,728Facebook estimate · 81.4%
4,969Instagram estimate · 52.3%
2,622TikTok estimate · 27.6%

Practical campaign implications

Turn the strongest M9L 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: 14.0%38.6 percentage points below the Canadian benchmark

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

  • Immigrant population: 55.3%32.4 percentage points above the Canadian benchmark

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

  • Average household size: 3.1 people27.6% above the Canadian benchmark

    Consider family packs, multi-person services, household bundles, and creative that speaks to shared decisions.

M9L audience questions

Using this postal-region profile

How large is the audience in M9L?

M9L represents 11,737 residents and 3,775 households in North York. The average household size is 3.1 people.

What demographic characteristics stand out in M9L?

Single-detached homes is 14.0%, 38.6 percentage points below the Canadian postal-region benchmark; Immigrant population is 55.3%, 32.4 percentage points above the Canadian postal-region benchmark; Average household size is 3.1 people, 27.6% above the Canadian postal-region benchmark.

How does M9L compare with another postal region?

M2L is one useful North York postal-region comparison because its population is similar to M9L. It has 64.2% higher median income · 1.7 years older on average.

How can I find other regions that match the M9L audience?

Use the available income, household, age, family, ownership, and education measures to build a repeatable audience-matching rule around M9L.

How can customer postal codes be analyzed in M9L?

Import postal codes to measure customer concentration in M9L, 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.