Single-detached homes
71.3%Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
New Brunswick postal region
E4L demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Sackville.
AudienceScoutE4L · SackvilleLoading the E4L boundary…
Selected postal region
Market profile
A market of 7,746 people
Size the opportunity, understand its household composition, and identify the local patterns that make E4L different from the typical Canadian postal region.
Population7,746
Households3,360
Median income$69,000
Average age44.5
E4L market summary
What distinguishes this postal-region audience
E4L represents 7,746 residents and 3,360 households in Sackville. 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: 71.3%, or 18.7 percentage points above the benchmark. Immigrant population is 6.8%, 16.1 percentage points below the benchmark.
For campaign planning, these patterns give E4L 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 Sackville.
Audience matching
Find more regions that resemble E4L
To find regions with a profile similar to E4L, begin with household income near $69,000 and age 65+ share near 24.8%. 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 E4L and the Canadian postal-region benchmark.
Immigrant population
6.8%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Median household income
$69,000Lead with practical value, accessible pricing, savings, or efficiency when testing offers in this region.
Population age 65+
24.8%Accessibility, clarity, trust, health, leisure, and established-household needs can carry more weight in campaign planning.
Detailed comparison
How E4L 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 | E4L | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $69,000 | $85,788 | 19.6% below |
| Average household size | 2.3 people | 2.4 people | 5.3% below |
| Owner households | 71.3% | 66.5% | 4.8 percentage points above |
| One-person households | 29.9% | 29.4% | 0.5 percentage points above |
| Families with children | 28.7% | 34.0% | 5.3 percentage points below |
| Bachelor's degree or higher | 26.3% | 26.5% | 0.2 percentage points below |
| Immigrant population | 6.8% | 22.9% | 16.1 percentage points below |
| Worked from home | 23.8% | 23.8% | 0.0 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 17 local facility records with E4L. Culture and art is the largest represented category with 10 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education5
Health care2
Culture and art10
Recreation0
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 5,141 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
3,974YouTube estimate · 62.4%
5,141Facebook estimate · 80.7%
3,187Instagram estimate · 50.0%
1,624TikTok estimate · 25.5%
Practical campaign implications
Turn the strongest E4L 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: 71.3%18.7 percentage points above the Canadian benchmark
Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
- Immigrant population: 6.8%16.1 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.
- Median household income: $69,00019.6% below the Canadian benchmark
Lead with practical value, accessible pricing, savings, or efficiency when testing offers in this region.
Related market context
Compare similar-sized New Brunswick postal regions
This directory represents Sackville with one postal region. These New Brunswick markets are selected by population similarity for a useful market comparison.
E4L audience questions
Using this postal-region profile
How large is the audience in E4L?
E4L represents 7,746 residents and 3,360 households in Sackville. The average household size is 2.3 people.
What demographic characteristics stand out in E4L?
Single-detached homes is 71.3%, 18.7 percentage points above the Canadian postal-region benchmark; Immigrant population is 6.8%, 16.1 percentage points below the Canadian postal-region benchmark; Median household income is $69,000, 19.6% below the Canadian postal-region benchmark.
How does E4L compare with another postal region?
E1H is one useful New Brunswick market comparison because its population is similar to E4L. It has 12.3% higher median income · 0.2 years older on average.
How can I find other regions that match the E4L audience?
To find regions with a profile similar to E4L, begin with household income near $69,000 and age 65+ share near 24.8%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in E4L?
Import postal codes to measure customer concentration in E4L, 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.