Single-detached homes
79.0%Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
Ontario postal region
P0M demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Algoma, Sudbury District and Greater Sudbury.
AudienceScoutP0M · Algoma, Sudbury District and Greater SudburyLoading the P0M boundary…
Selected postal region
Market profile
A market of 49,727 people
Size the opportunity, understand its household composition, and identify the local patterns that make P0M different from the typical Canadian postal region.
Population49,727
Households21,260
Median income$86,000
Average age44.3
P0M market summary
What distinguishes this postal-region audience
P0M represents 49,727 residents and 21,260 households in Algoma, Sudbury District and Greater Sudbury. 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: 79.0%, or 26.4 percentage points above the benchmark. Immigrant population is 2.7%, 20.2 percentage points below the benchmark.
For campaign planning, these patterns give P0M 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 Algoma, Sudbury District and Greater Sudbury.
Audience matching
Find more regions that resemble P0M
To find regions with a profile similar to P0M, begin with university education near 10.7% and home ownership near 78.8%. 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 P0M and the Canadian postal-region benchmark.
Immigrant population
2.7%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Bachelor's degree or higher
10.7%Use direct, practical language that demonstrates the everyday value of the offer.
Owner households
78.8%Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.
Detailed comparison
How P0M 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 | P0M | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $86,000 | $85,788 | 0.2% above |
| Average household size | 2.3 people | 2.4 people | 5.3% below |
| Owner households | 78.8% | 66.5% | 12.3 percentage points above |
| One-person households | 26.8% | 29.4% | 2.6 percentage points below |
| Families with children | 32.2% | 34.0% | 1.8 percentage points below |
| Bachelor's degree or higher | 10.7% | 26.5% | 15.8 percentage points below |
| Immigrant population | 2.7% | 22.9% | 20.2 percentage points below |
| Worked from home | 14.2% | 23.8% | 9.6 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 781 local facility records with P0M. Recreation is the largest represented category with 708 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education43
Health care15
Culture and art15
Recreation708
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 32,769 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
25,103YouTube estimate · 61.8%
32,769Facebook estimate · 80.6%
19,849Instagram estimate · 48.8%
9,634TikTok estimate · 23.7%
Practical campaign implications
Turn the strongest P0M 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: 79.0%26.4 percentage points above the Canadian benchmark
Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
- Immigrant population: 2.7%20.2 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.
- Bachelor's degree or higher: 10.7%15.8 percentage points below the Canadian benchmark
Use direct, practical language that demonstrates the everyday value of the offer.
Related market context
Compare similar-sized Ontario postal regions
This directory represents Algoma, Sudbury District and Greater Sudbury with one postal region. These Ontario markets are selected by population similarity for a useful market comparison.
P0M audience questions
Using this postal-region profile
How large is the audience in P0M?
P0M represents 49,727 residents and 21,260 households in Algoma, Sudbury District and Greater Sudbury. The average household size is 2.3 people.
What demographic characteristics stand out in P0M?
Single-detached homes is 79.0%, 26.4 percentage points above the Canadian postal-region benchmark; Immigrant population is 2.7%, 20.2 percentage points below the Canadian postal-region benchmark; Bachelor's degree or higher is 10.7%, 15.8 percentage points below the Canadian postal-region benchmark.
How does P0M compare with another postal region?
P6A is one useful Ontario market comparison because its population is similar to P0M. It has 9.3% lower median income · 0.8 years older on average.
How can I find other regions that match the P0M audience?
To find regions with a profile similar to P0M, begin with university education near 10.7% and home ownership near 78.8%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in P0M?
Import postal codes to measure customer concentration in P0M, 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.