Single-detached homes
87.4%Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
Newfoundland and Labrador postal region
A1M demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Portugal Cove-St. Philips.
AudienceScoutA1M · Portugal Cove-St. PhilipsLoading the A1M boundary…
Selected postal region
Market profile
A market of 8,405 people
Size the opportunity, understand its household composition, and identify the local patterns that make A1M different from the typical Canadian postal region.
Population8,405
Households3,165
Median income$114,000
Average age40.7
A1M market summary
What distinguishes this postal-region audience
A1M represents 8,405 residents and 3,165 households in Portugal Cove-St. Philips. Its average household contains 2.7 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: 87.4%, or 34.8 percentage points above the benchmark. Owner households is 85.8%, 19.3 percentage points above the benchmark.
For campaign planning, these patterns give A1M 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 Portugal Cove-St. Philips.
Audience matching
Find more regions that resemble A1M
To find regions with a profile similar to A1M, begin with home ownership near 85.8% and household income near $114,000. 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 A1M and the Canadian postal-region benchmark.
Owner households
85.8%Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.
Immigrant population
3.8%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Median household income
$114,000Test premium, higher-consideration, or value-led offers grounded in a clear customer benefit.
Detailed comparison
How A1M 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 | A1M | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $114,000 | $85,788 | 32.9% above |
| Average household size | 2.7 people | 2.4 people | 11.1% above |
| Owner households | 85.8% | 66.5% | 19.3 percentage points above |
| One-person households | 17.9% | 29.4% | 11.5 percentage points below |
| Families with children | 44.1% | 34.0% | 10.1 percentage points above |
| Bachelor's degree or higher | 26.4% | 26.5% | 0.1 percentage points below |
| Immigrant population | 3.8% | 22.9% | 19.1 percentage points below |
| Worked from home | 19.1% | 23.8% | 4.7 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 2 local facility records with A1M. Education is the largest represented category with 2 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education2
Health care0
Culture and art0
Recreation0
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 5,390 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
4,207YouTube estimate · 63.4%
5,390Facebook estimate · 81.2%
3,342Instagram estimate · 50.3%
1,640TikTok estimate · 24.7%
Practical campaign implications
Turn the strongest A1M 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: 87.4%34.8 percentage points above the Canadian benchmark
Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
- Owner households: 85.8%19.3 percentage points above the Canadian benchmark
Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.
- Immigrant population: 3.8%19.1 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 similar-sized Newfoundland and Labrador postal regions
This directory represents Portugal Cove-St. Philips with one postal region. These Newfoundland and Labrador markets are selected by population similarity for a useful market comparison.
A1M audience questions
Using this postal-region profile
How large is the audience in A1M?
A1M represents 8,405 residents and 3,165 households in Portugal Cove-St. Philips. The average household size is 2.7 people.
What demographic characteristics stand out in A1M?
Single-detached homes is 87.4%, 34.8 percentage points above the Canadian postal-region benchmark; Owner households is 85.8%, 19.3 percentage points above the Canadian postal-region benchmark; Immigrant population is 3.8%, 19.1 percentage points below the Canadian postal-region benchmark.
How does A1M compare with another postal region?
A5A is one useful Newfoundland and Labrador market comparison because its population is similar to A1M. It has 38.6% lower median income · 4.0 years older on average.
How can I find other regions that match the A1M audience?
To find regions with a profile similar to A1M, begin with home ownership near 85.8% and household income near $114,000. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in A1M?
Import postal codes to measure customer concentration in A1M, 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.