Immigrant population
56.3%Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.
Ontario postal region
L4C demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Richmond Hill.
AudienceScoutL4C · Richmond HillLoading the L4C boundary…
Selected postal region
Market profile
A market of 74,636 people
Size the opportunity, understand its household composition, and identify the local patterns that make L4C different from the typical Canadian postal region.
Population74,636
Households28,600
Median income$86,000
Average age44.5
L4C market summary
What distinguishes this postal-region audience
L4C represents 74,636 residents and 28,600 households in Richmond Hill. 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: 56.3%, or 33.4 percentage points above the benchmark. Bachelor's degree or higher is 41.5%, 15.0 percentage points above the benchmark.
For campaign planning, these patterns give L4C 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 Richmond Hill.
Audience matching
Find more regions that resemble L4C
To find regions with a profile similar to L4C, begin with university education near 41.5% and families with children near 41.1%. 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 L4C and the Canadian postal-region benchmark.
Bachelor's degree or higher
41.5%Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
Worked from home
35.3%Daytime digital, local delivery, home-office, and neighbourhood-service campaigns may warrant additional testing.
Families with children
41.1%Test family-oriented services, household value, education, recreation, and parent-focused creative.
Detailed comparison
How L4C 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 | L4C | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $86,000 | $85,788 | 0.2% above |
| Average household size | 2.6 people | 2.4 people | 7.0% above |
| Owner households | 69.6% | 66.5% | 3.1 percentage points above |
| One-person households | 24.5% | 29.4% | 4.9 percentage points below |
| Families with children | 41.1% | 34.0% | 7.1 percentage points above |
| Bachelor's degree or higher | 41.5% | 26.5% | 15.0 percentage points above |
| Immigrant population | 56.3% | 22.9% | 33.4 percentage points above |
| Worked from home | 35.3% | 23.8% | 11.5 percentage points above |
Local market context
Community activity around the audience
AudienceScout connects 89 local facility records with L4C. Education is the largest represented category with 44 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education44
Health care7
Culture and art3
Recreation35
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 50,541 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
39,191YouTube estimate · 62.7%
50,541Facebook estimate · 80.9%
31,297Instagram estimate · 50.1%
15,697TikTok estimate · 25.1%
Practical campaign implications
Turn the strongest L4C signals into campaign tests
Use these as evidence-based starting hypotheses, then validate them against campaign performance and your own customer results.
- Immigrant population: 56.3%33.4 percentage points above the Canadian benchmark
Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.
- Bachelor's degree or higher: 41.5%15.0 percentage points above the Canadian benchmark
Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
- Worked from home: 35.3%11.5 percentage points above the Canadian benchmark
Daytime digital, local delivery, home-office, and neighbourhood-service campaigns may warrant additional testing.
Related market context
Compare other Richmond Hill postal regions
These regions share the Richmond Hill postal community and are ordered by population similarity to L4C.
L4C audience questions
Using this postal-region profile
How large is the audience in L4C?
L4C represents 74,636 residents and 28,600 households in Richmond Hill. The average household size is 2.6 people.
What demographic characteristics stand out in L4C?
Immigrant population is 56.3%, 33.4 percentage points above the Canadian postal-region benchmark; Bachelor's degree or higher is 41.5%, 15.0 percentage points above the Canadian postal-region benchmark; Worked from home is 35.3%, 11.5 percentage points above the Canadian postal-region benchmark.
How does L4C compare with another postal region?
L4E is one useful Richmond Hill postal-region comparison because its population is similar to L4C. It has 47.7% higher median income · 6.1 years younger on average.
How can I find other regions that match the L4C audience?
To find regions with a profile similar to L4C, begin with university education near 41.5% and families with children near 41.1%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in L4C?
Import postal codes to measure customer concentration in L4C, 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.