Bachelor's degree or higher
36.5%Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
Saskatchewan postal region
S7N demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Saskatoon.
AudienceScoutS7N · SaskatoonLoading the S7N boundary…
Selected postal region
Market profile
A market of 27,385 people
Size the opportunity, understand its household composition, and identify the local patterns that make S7N different from the typical Canadian postal region.
Population27,385
Households11,380
Median income$84,000
Average age38.6
S7N market summary
What distinguishes this postal-region audience
S7N represents 27,385 residents and 11,380 households in Saskatoon. 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 university education: 36.5%, or 10.0 percentage points above the benchmark. Population age 15–29 is 26.1%, 8.2 percentage points above the benchmark.
For campaign planning, these patterns give S7N 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 Saskatoon.
Audience matching
Find more regions that resemble S7N
To find regions with a profile similar to S7N, begin with university education near 36.5% and age 15–29 share near 26.1%. 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 S7N and the Canadian postal-region benchmark.
Population age 15–29
26.1%Prioritize mobile-first discovery, social video, emerging-adult occasions, and creative built for faster consideration cycles.
Immigrant population
16.7%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Owner households
61.1%Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.
Detailed comparison
How S7N 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 | S7N | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $84,000 | $85,788 | 2.1% below |
| Average household size | 2.3 people | 2.4 people | 5.3% below |
| Owner households | 61.1% | 66.5% | 5.4 percentage points below |
| One-person households | 31.6% | 29.4% | 2.3 percentage points above |
| Families with children | 31.1% | 34.0% | 2.9 percentage points below |
| Bachelor's degree or higher | 36.5% | 26.5% | 10.0 percentage points above |
| Immigrant population | 16.7% | 22.9% | 6.2 percentage points below |
| Worked from home | 19.9% | 23.8% | 3.9 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 597 local facility records with S7N. Recreation is the largest represented category with 562 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education17
Health care5
Culture and art13
Recreation562
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 17,730 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
14,530YouTube estimate · 67.4%
17,730Facebook estimate · 82.3%
11,997Instagram estimate · 55.7%
6,634TikTok estimate · 30.8%
Practical campaign implications
Turn the strongest S7N 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: 36.5%10.0 percentage points above the Canadian benchmark
Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.
- Population age 15–29: 26.1%8.2 percentage points above the Canadian benchmark
Prioritize mobile-first discovery, social video, emerging-adult occasions, and creative built for faster consideration cycles.
- Immigrant population: 16.7%6.2 percentage points below the Canadian benchmark
Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Related market context
Compare other Saskatoon postal regions
These regions share the Saskatoon postal community and are ordered by population similarity to S7N.
S7N audience questions
Using this postal-region profile
How large is the audience in S7N?
S7N represents 27,385 residents and 11,380 households in Saskatoon. The average household size is 2.3 people.
What demographic characteristics stand out in S7N?
Bachelor's degree or higher is 36.5%, 10.0 percentage points above the Canadian postal-region benchmark; Population age 15–29 is 26.1%, 8.2 percentage points above the Canadian postal-region benchmark; Immigrant population is 16.7%, 6.2 percentage points below the Canadian postal-region benchmark.
How does S7N compare with another postal region?
S7J is one useful Saskatoon postal-region comparison because its population is similar to S7N. It has 3.6% higher median income · 5.4 years older on average.
How can I find other regions that match the S7N audience?
To find regions with a profile similar to S7N, begin with university education near 36.5% and age 15–29 share near 26.1%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in S7N?
Import postal codes to measure customer concentration in S7N, 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.