Bachelor's degree or higher
63.0%Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
Ontario postal region
M4R 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.
AudienceScoutM4R · TorontoLoading the M4R boundary…
Selected postal region
Market profile
A market of 11,909 people
Size the opportunity, understand its household composition, and identify the local patterns that make M4R different from the typical Canadian postal region.
Population11,909
Households5,420
Median income$107,000
Average age40.9
M4R market summary
What distinguishes this postal-region audience
M4R represents 11,909 residents and 5,420 households in Toronto. Its average household contains 2.2 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: 63.0%, or 36.5 percentage points above the benchmark. Worked from home is 56.6%, 32.8 percentage points above the benchmark.
For campaign planning, these patterns give M4R 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 M4R
To find regions with a profile similar to M4R, begin with university education near 63.0% and home ownership near 48.6%. 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 M4R and the Canadian postal-region benchmark.
Worked from home
56.6%Daytime digital, local delivery, home-office, and neighbourhood-service campaigns may warrant additional testing.
Single-detached homes
32.9%Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
Owner households
48.6%Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.
Detailed comparison
How M4R 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 | M4R | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $107,000 | $85,788 | 24.7% above |
| Average household size | 2.2 people | 2.4 people | 9.5% below |
| Owner households | 48.6% | 66.5% | 17.9 percentage points below |
| One-person households | 38.7% | 29.4% | 9.4 percentage points above |
| Families with children | 33.2% | 34.0% | 0.8 percentage points below |
| Bachelor's degree or higher | 63.0% | 26.5% | 36.5 percentage points above |
| Immigrant population | 28.8% | 22.9% | 5.9 percentage points above |
| Worked from home | 56.6% | 23.8% | 32.8 percentage points above |
Local market context
Community activity around the audience
AudienceScout connects 37 local facility records with M4R. Recreation is the largest represented category with 25 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education10
Health care1
Culture and art1
Recreation25
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 7,913 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
6,323YouTube estimate · 65.3%
7,913Facebook estimate · 81.8%
5,094Instagram estimate · 52.6%
2,611TikTok estimate · 27.0%
Practical campaign implications
Turn the strongest M4R 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: 63.0%36.5 percentage points above the Canadian benchmark
Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
- Worked from home: 56.6%32.8 percentage points above the Canadian benchmark
Daytime digital, local delivery, home-office, and neighbourhood-service campaigns may warrant additional testing.
- Single-detached homes: 32.9%19.7 percentage points below the Canadian benchmark
Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
Related market context
Compare other Toronto postal regions
These regions share the Toronto postal community and are ordered by population similarity to M4R.
M4R audience questions
Using this postal-region profile
How large is the audience in M4R?
M4R represents 11,909 residents and 5,420 households in Toronto. The average household size is 2.2 people.
What demographic characteristics stand out in M4R?
Bachelor's degree or higher is 63.0%, 36.5 percentage points above the Canadian postal-region benchmark; Worked from home is 56.6%, 32.8 percentage points above the Canadian postal-region benchmark; Single-detached homes is 32.9%, 19.7 percentage points below the Canadian postal-region benchmark.
How does M4R compare with another postal region?
M5E is one useful Toronto postal-region comparison because its population is similar to M4R. It has 8.4% lower median income · 1.1 years younger on average.
How can I find other regions that match the M4R audience?
To find regions with a profile similar to M4R, begin with university education near 63.0% and home ownership near 48.6%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in M4R?
Import postal codes to measure customer concentration in M4R, 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.