Single-detached homes
83.8%Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
Ontario postal region
K0B demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Prescott and Russell United Counties.
AudienceScoutK0B · Prescott and Russell United CountiesLoading the K0B boundary…
Selected postal region
Market profile
A market of 21,020 people
Size the opportunity, understand its household composition, and identify the local patterns that make K0B different from the typical Canadian postal region.
Population21,020
Households8,900
Median income$79,000
Average age46.1
K0B market summary
What distinguishes this postal-region audience
K0B represents 21,020 residents and 8,900 households in Prescott and Russell United Counties. 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: 83.8%, or 31.2 percentage points above the benchmark. Immigrant population is 4.9%, 18.0 percentage points below the benchmark.
For campaign planning, these patterns give K0B 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 Prescott and Russell United Counties.
Audience matching
Find more regions that resemble K0B
To find regions with a profile similar to K0B, begin with home ownership near 80.1% and university education near 13.8%. 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 K0B and the Canadian postal-region benchmark.
Immigrant population
4.9%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
Owner households
80.1%Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.
Bachelor's degree or higher
13.8%Use direct, practical language that demonstrates the everyday value of the offer.
Detailed comparison
How K0B 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 | K0B | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $79,000 | $85,788 | 7.9% below |
| Average household size | 2.3 people | 2.4 people | 5.3% below |
| Owner households | 80.1% | 66.5% | 13.6 percentage points above |
| One-person households | 26.2% | 29.4% | 3.2 percentage points below |
| Families with children | 30.1% | 34.0% | 3.9 percentage points below |
| Bachelor's degree or higher | 13.8% | 26.5% | 12.7 percentage points below |
| Immigrant population | 4.9% | 22.9% | 18.0 percentage points below |
| Worked from home | 21.0% | 23.8% | 2.8 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 117 local facility records with K0B. Recreation is the largest represented category with 93 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education12
Health care9
Culture and art3
Recreation93
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 14,020 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
10,570YouTube estimate · 60.4%
14,020Facebook estimate · 80.2%
8,326Instagram estimate · 47.6%
4,005TikTok estimate · 22.9%
Practical campaign implications
Turn the strongest K0B 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: 83.8%31.2 percentage points above the Canadian benchmark
Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.
- Immigrant population: 4.9%18.0 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: 80.1%13.6 percentage points above the Canadian benchmark
Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.
Related market context
Compare similar-sized Ontario postal regions
This directory represents Prescott and Russell United Counties with one postal region. These Ontario markets are selected by population similarity for a useful market comparison.
K0B audience questions
Using this postal-region profile
How large is the audience in K0B?
K0B represents 21,020 residents and 8,900 households in Prescott and Russell United Counties. The average household size is 2.3 people.
What demographic characteristics stand out in K0B?
Single-detached homes is 83.8%, 31.2 percentage points above the Canadian postal-region benchmark; Immigrant population is 4.9%, 18.0 percentage points below the Canadian postal-region benchmark; Owner households is 80.1%, 13.6 percentage points above the Canadian postal-region benchmark.
How does K0B compare with another postal region?
K1Y is one useful Ontario market comparison because its population is similar to K0B. It has 25.3% higher median income · 4.6 years younger on average.
How can I find other regions that match the K0B audience?
To find regions with a profile similar to K0B, begin with home ownership near 80.1% and university education near 13.8%. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in K0B?
Import postal codes to measure customer concentration in K0B, 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.