Single-detached homes
18.5%Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
Ontario postal region
M4L demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Toronto.
AudienceScoutM4L · TorontoLoading the M4L boundary…
Selected postal region
Market profile
A market of 32,218 people
Size the opportunity, understand its household composition, and identify the local patterns that make M4L different from the typical Canadian postal region.
Population32,218
Households13,750
Median income$101,000
Average age40.0
M4L market summary
What distinguishes this postal-region audience
M4L represents 32,218 residents and 13,750 households in Toronto. Its average household contains 2.3 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: 18.5%, or 34.1 percentage points below the benchmark. Worked from home is 53.4%, 29.6 percentage points above the benchmark.
For campaign planning, these patterns give M4L 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 Toronto.
Audience matching
Find more regions that resemble M4L
To find regions with a profile similar to M4L, begin with university education near 46.4% and household income near $101,000. Adjust each minimum to make the audience broader or more selective.
Match This AudienceDistinctive market signals
The characteristics with the largest local differences
These four characteristics show the largest available differences between M4L and the Canadian postal-region benchmark.
Worked from home
53.4%Daytime digital, local delivery, home-office, and neighbourhood-service campaigns may warrant additional testing.
Bachelor's degree or higher
46.4%Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
Median household income
$101,000Test premium, higher-consideration, or value-led offers grounded in a clear customer benefit.
Detailed comparison
How M4L compares with the Canadian benchmark
Use the difference column to identify which measures are most useful for creative, offer, channel, and geographic targeting decisions.
| Measure | M4L | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $101,000 | $85,788 | 17.7% above |
| Average household size | 2.3 people | 2.4 people | 5.3% below |
| Owner households | 60.7% | 66.5% | 5.8 percentage points below |
| One-person households | 32.8% | 29.4% | 3.4 percentage points above |
| Families with children | 36.3% | 34.0% | 2.3 percentage points above |
| Bachelor's degree or higher | 46.4% | 26.5% | 19.9 percentage points above |
| Immigrant population | 24.0% | 22.9% | 1.1 percentage points above |
| Worked from home | 53.4% | 23.8% | 29.6 percentage points above |
Local market context
Community activity around the audience
AudienceScout connects 81 local facility records with M4L. Recreation is the largest represented category with 65 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education9
Health care4
Culture and art3
Recreation65
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 20,893 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
16,645YouTube estimate · 65.2%
20,893Facebook estimate · 81.9%
13,188Instagram estimate · 51.7%
6,367TikTok estimate · 25.0%
Practical campaign implications
Turn the strongest M4L 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: 18.5%34.1 percentage points below the Canadian benchmark
Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
- Worked from home: 53.4%29.6 percentage points above the Canadian benchmark
Daytime digital, local delivery, home-office, and neighbourhood-service campaigns may warrant additional testing.
- Bachelor's degree or higher: 46.4%19.9 percentage points above the Canadian benchmark
Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
Related market context
Compare other Toronto postal regions
These regions share the Toronto postal community and are ordered by population similarity to M4L.
M4L audience questions
Using this postal-region profile
How large is the audience in M4L?
M4L represents 32,218 residents and 13,750 households in Toronto. The average household size is 2.3 people.
What demographic characteristics stand out in M4L?
Single-detached homes is 18.5%, 34.1 percentage points below the Canadian postal-region benchmark; Worked from home is 53.4%, 29.6 percentage points above the Canadian postal-region benchmark; Bachelor's degree or higher is 46.4%, 19.9 percentage points above the Canadian postal-region benchmark.
How does M4L compare with another postal region?
M6J is one useful Toronto postal-region comparison because its population is similar to M4L. It has 10.9% lower median income · 0.3 years older on average.
How can I find other regions that match the M4L audience?
To find regions with a profile similar to M4L, begin with university education near 46.4% and household income near $101,000. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in M4L?
Import postal codes to measure customer concentration in M4L, 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.