Single-detached homes
91.9%Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
Newfoundland and Labrador postal region
A0A demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Southeastern Avalon Peninsula.
AudienceScoutA0A · Southeastern Avalon PeninsulaLoading the A0A boundary…
Selected postal region
Market profile
A market of 44,930 people
Size the opportunity, understand its household composition, and identify the local patterns that make A0A different from the typical Canadian postal region.
Population44,930
Households19,755
Median income$67,000
Average age47.2
A0A market summary
What distinguishes this postal-region audience
A0A represents 44,930 residents and 19,755 households in Southeastern Avalon Peninsula. 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: 91.9%, or 39.3 percentage points above the benchmark. Immigrant population is 1.1%, 21.8 percentage points below the benchmark.
For campaign planning, these patterns give A0A 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 Southeastern Avalon Peninsula.
Audience matching
Find more regions that resemble A0A
To find regions with a profile similar to A0A, begin with home ownership near 86.0% and university education near 10.5%. 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 A0A and the Canadian postal-region benchmark.
Immigrant population
1.1%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Owner households
86.0%Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.
Bachelor's degree or higher
10.5%Use direct, practical language that demonstrates the everyday value of the offer.
Detailed comparison
How A0A 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 | A0A | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $67,000 | $85,788 | 21.9% below |
| Average household size | 2.3 people | 2.4 people | 5.3% below |
| Owner households | 86.0% | 66.5% | 19.5 percentage points above |
| One-person households | 27.3% | 29.4% | 2.1 percentage points below |
| Families with children | 32.5% | 34.0% | 1.5 percentage points below |
| Bachelor's degree or higher | 10.5% | 26.5% | 16.0 percentage points below |
| Immigrant population | 1.1% | 22.9% | 21.8 percentage points below |
| Worked from home | 10.3% | 23.8% | 13.5 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 49 local facility records with A0A. Education is the largest represented category with 24 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education24
Health care2
Culture and art23
Recreation0
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 30,344 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
22,661YouTube estimate · 59.7%
30,344Facebook estimate · 80.0%
17,713Instagram estimate · 46.7%
8,295TikTok estimate · 21.9%
Practical campaign implications
Turn the strongest A0A 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: 91.9%39.3 percentage points above the Canadian benchmark
Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
- Immigrant population: 1.1%21.8 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.
- Owner households: 86.0%19.5 percentage points above the Canadian benchmark
Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.
Related market context
Compare similar-sized Newfoundland and Labrador postal regions
This directory represents Southeastern Avalon Peninsula with one postal region. These Newfoundland and Labrador markets are selected by population similarity for a useful market comparison.
A0A audience questions
Using this postal-region profile
How large is the audience in A0A?
A0A represents 44,930 residents and 19,755 households in Southeastern Avalon Peninsula. The average household size is 2.3 people.
What demographic characteristics stand out in A0A?
Single-detached homes is 91.9%, 39.3 percentage points above the Canadian postal-region benchmark; Immigrant population is 1.1%, 21.8 percentage points below the Canadian postal-region benchmark; Owner households is 86.0%, 19.5 percentage points above the Canadian postal-region benchmark.
How does A0A compare with another postal region?
A0G is one useful Newfoundland and Labrador market comparison because its population is similar to A0A. It has 14.0% lower median income · 3.5 years older on average.
How can I find other regions that match the A0A audience?
To find regions with a profile similar to A0A, begin with home ownership near 86.0% and university education near 10.5%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in A0A?
Import postal codes to measure customer concentration in A0A, 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.