Single-detached homes
93.4%Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
Newfoundland and Labrador postal region
A0C demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Bonavista Peninsula.
AudienceScoutA0C · Bonavista PeninsulaLoading the A0C boundary…
Selected postal region
Market profile
A market of 11,972 people
Size the opportunity, understand its household composition, and identify the local patterns that make A0C different from the typical Canadian postal region.
Population11,972
Households5,610
Median income$55,200
Average age51.2
A0C market summary
What distinguishes this postal-region audience
A0C represents 11,972 residents and 5,610 households in Bonavista Peninsula. Its average household contains 2.1 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: 93.4%, or 40.8 percentage points above the benchmark. Immigrant population is 1.2%, 21.7 percentage points below the benchmark.
For campaign planning, these patterns give A0C 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 Bonavista Peninsula.
Audience matching
Find more regions that resemble A0C
To find regions with a profile similar to A0C, begin with home ownership near 86.5% and university education near 6.5%. 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 A0C and the Canadian postal-region benchmark.
Immigrant population
1.2%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Owner households
86.5%Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.
Bachelor's degree or higher
6.5%Use direct, practical language that demonstrates the everyday value of the offer.
Detailed comparison
How A0C 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 | A0C | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $55,200 | $85,788 | 35.7% below |
| Average household size | 2.1 people | 2.4 people | 13.6% below |
| Owner households | 86.5% | 66.5% | 20.0 percentage points above |
| One-person households | 28.7% | 29.4% | 0.7 percentage points below |
| Families with children | 26.3% | 34.0% | 7.7 percentage points below |
| Bachelor's degree or higher | 6.5% | 26.5% | 20.0 percentage points below |
| Immigrant population | 1.2% | 22.9% | 21.7 percentage points below |
| Worked from home | 9.8% | 23.8% | 14.0 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 29 local facility records with A0C. Culture and art is the largest represented category with 16 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education10
Health care3
Culture and art16
Recreation0
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 8,346 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
6,049YouTube estimate · 57.4%
8,346Facebook estimate · 79.2%
4,666Instagram estimate · 44.3%
2,095TikTok estimate · 19.9%
Practical campaign implications
Turn the strongest A0C 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: 93.4%40.8 percentage points above the Canadian benchmark
Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
- Immigrant population: 1.2%21.7 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: 86.5%20.0 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 Bonavista Peninsula with one postal region. These Newfoundland and Labrador markets are selected by population similarity for a useful market comparison.
A0C audience questions
Using this postal-region profile
How large is the audience in A0C?
A0C represents 11,972 residents and 5,610 households in Bonavista Peninsula. The average household size is 2.1 people.
What demographic characteristics stand out in A0C?
Single-detached homes is 93.4%, 40.8 percentage points above the Canadian postal-region benchmark; Immigrant population is 1.2%, 21.7 percentage points below the Canadian postal-region benchmark; Owner households is 86.5%, 20.0 percentage points above the Canadian postal-region benchmark.
How does A0C compare with another postal region?
A1V is one useful Newfoundland and Labrador market comparison because its population is similar to A0C. It has 44.9% higher median income · 7.5 years younger on average.
How can I find other regions that match the A0C audience?
To find regions with a profile similar to A0C, begin with home ownership near 86.5% and university education near 6.5%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in A0C?
Import postal codes to measure customer concentration in A0C, 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.