Single-detached homes
72.5%Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
Newfoundland and Labrador postal region
A0P demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Happy Valley-Goose Bay.
AudienceScoutA0P · Happy Valley-Goose BayLoading the A0P boundary…
Selected postal region
Market profile
A market of 13,058 people
Size the opportunity, understand its household composition, and identify the local patterns that make A0P different from the typical Canadian postal region.
Population13,058
Households4,660
Median income$99,000
Average age36.8
A0P market summary
What distinguishes this postal-region audience
A0P represents 13,058 residents and 4,660 households in Happy Valley-Goose Bay. 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: 72.5%, or 19.9 percentage points above the benchmark. Immigrant population is 4.5%, 18.4 percentage points below the benchmark.
For campaign planning, these patterns give A0P 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 Happy Valley-Goose Bay.
Audience matching
Find more regions that resemble A0P
To find regions with a profile similar to A0P, begin with university education near 13.3%. 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 A0P and the Canadian postal-region benchmark.
Immigrant population
4.5%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Worked from home
6.7%Commuter occasions, workplace-adjacent placements, and time-of-day planning may play a larger role.
Bachelor's degree or higher
13.3%Use direct, practical language that demonstrates the everyday value of the offer.
Detailed comparison
How A0P 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 | A0P | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $99,000 | $85,788 | 15.4% above |
| Average household size | 2.7 people | 2.4 people | 11.1% above |
| Owner households | 62.7% | 66.5% | 3.8 percentage points below |
| One-person households | 21.1% | 29.4% | 8.3 percentage points below |
| Families with children | 39.1% | 34.0% | 5.1 percentage points above |
| Bachelor's degree or higher | 13.3% | 26.5% | 13.2 percentage points below |
| Immigrant population | 4.5% | 22.9% | 18.4 percentage points below |
| Worked from home | 6.7% | 23.8% | 17.1 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 21 local facility records with A0P. Education is the largest represented category with 13 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education13
Health care2
Culture and art6
Recreation0
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 8,011 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
6,489YouTube estimate · 66.5%
8,011Facebook estimate · 82.1%
5,265Instagram estimate · 54.0%
2,757TikTok estimate · 28.3%
Practical campaign implications
Turn the strongest A0P 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: 72.5%19.9 percentage points above the Canadian benchmark
Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
- Immigrant population: 4.5%18.4 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.
- Worked from home: 6.7%17.1 percentage points below the Canadian benchmark
Commuter occasions, workplace-adjacent placements, and time-of-day planning may play a larger role.
Related market context
Compare similar-sized Newfoundland and Labrador postal regions
This directory represents Happy Valley-Goose Bay with one postal region. These Newfoundland and Labrador markets are selected by population similarity for a useful market comparison.
A0P audience questions
Using this postal-region profile
How large is the audience in A0P?
A0P represents 13,058 residents and 4,660 households in Happy Valley-Goose Bay. The average household size is 2.7 people.
What demographic characteristics stand out in A0P?
Single-detached homes is 72.5%, 19.9 percentage points above the Canadian postal-region benchmark; Immigrant population is 4.5%, 18.4 percentage points below the Canadian postal-region benchmark; Worked from home is 6.7%, 17.1 percentage points below the Canadian postal-region benchmark.
How does A0P compare with another postal region?
A1C is one useful Newfoundland and Labrador market comparison because its population is similar to A0P. It has 40.2% lower median income · 5.3 years older on average.
How can I find other regions that match the A0P audience?
To find regions with a profile similar to A0P, begin with university education near 13.3%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in A0P?
Import postal codes to measure customer concentration in A0P, 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.