Single-detached homes
87.6%Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
Ontario postal region
K0E demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in South Leeds and Grenville United Counties.
AudienceScoutK0E · South Leeds and Grenville United CountiesLoading the K0E boundary…
Selected postal region
Market profile
A market of 39,649 people
Size the opportunity, understand its household composition, and identify the local patterns that make K0E different from the typical Canadian postal region.
Population39,649
Households16,490
Median income$83,000
Average age45.8
K0E market summary
What distinguishes this postal-region audience
K0E represents 39,649 residents and 16,490 households in South Leeds and Grenville United Counties. Its average household contains 2.4 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: 87.6%, or 35.0 percentage points above the benchmark. Owner households is 84.1%, 17.6 percentage points above the benchmark.
For campaign planning, these patterns give K0E 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 South Leeds and Grenville United Counties.
Audience matching
Find more regions that resemble K0E
To find regions with a profile similar to K0E, begin with home ownership near 84.1% and 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 K0E and the Canadian postal-region benchmark.
Owner households
84.1%Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.
Immigrant population
5.7%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Bachelor's degree or higher
13.3%Use direct, practical language that demonstrates the everyday value of the offer.
Detailed comparison
How K0E 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 | K0E | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $83,000 | $85,788 | 3.2% below |
| Average household size | 2.4 people | 2.4 people | 1.2% below |
| Owner households | 84.1% | 66.5% | 17.6 percentage points above |
| One-person households | 24.2% | 29.4% | 5.2 percentage points below |
| Families with children | 31.8% | 34.0% | 2.2 percentage points below |
| Bachelor's degree or higher | 13.3% | 26.5% | 13.2 percentage points below |
| Immigrant population | 5.7% | 22.9% | 17.2 percentage points below |
| Worked from home | 17.4% | 23.8% | 6.4 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 123 local facility records with K0E. Recreation is the largest represented category with 83 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education23
Health care4
Culture and art13
Recreation83
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 26,225 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
19,799YouTube estimate · 60.6%
26,225Facebook estimate · 80.2%
15,591Instagram estimate · 47.7%
7,485TikTok estimate · 22.9%
Practical campaign implications
Turn the strongest K0E 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: 87.6%35.0 percentage points above the Canadian benchmark
Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
- Owner households: 84.1%17.6 percentage points above the Canadian benchmark
Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.
- Immigrant population: 5.7%17.2 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 Ontario postal regions
This directory represents South Leeds and Grenville United Counties with one postal region. These Ontario markets are selected by population similarity for a useful market comparison.
K0E audience questions
Using this postal-region profile
How large is the audience in K0E?
K0E represents 39,649 residents and 16,490 households in South Leeds and Grenville United Counties. The average household size is 2.4 people.
What demographic characteristics stand out in K0E?
Single-detached homes is 87.6%, 35.0 percentage points above the Canadian postal-region benchmark; Owner households is 84.1%, 17.6 percentage points above the Canadian postal-region benchmark; Immigrant population is 5.7%, 17.2 percentage points below the Canadian postal-region benchmark.
How does K0E compare with another postal region?
K0G is one useful Ontario market comparison because its population is similar to K0E. It has 13.3% higher median income · 0.2 years older on average.
How can I find other regions that match the K0E audience?
To find regions with a profile similar to K0E, begin with home ownership near 84.1% and university education near 13.3%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in K0E?
Import postal codes to measure customer concentration in K0E, 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.