Ontario postal region

K0K demographics and market profile

See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Quinte Shores, East Northumberland County & Prince Edward County.

AudienceScoutK0K · Quinte Shores, East Northumberland County & Prince Edward County
Loading the K0K boundary…
Postal code boundary map for K0K.

Market profile

A market of 115,850 people

Size the opportunity, understand its household composition, and identify the local patterns that make K0K different from the typical Canadian postal region.

Population115,850
Households47,025
Median income$83,000
Average age46.6

K0K market summary

What distinguishes this postal-region audience

K0K represents 115,850 residents and 47,025 households in Quinte Shores, East Northumberland County & Prince Edward County. 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: 89.6%, or 37.0 percentage points above the benchmark. Owner households is 85.3%, 18.8 percentage points above the benchmark.

For campaign planning, these patterns give K0K 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 Quinte Shores, East Northumberland County & Prince Edward County.

Audience matching

Find more regions that resemble K0K

To find regions with a profile similar to K0K, begin with home ownership near 85.3% and university education near 15.1%. Adjust each minimum to make the audience broader or more selective.

Match This Audience

Distinctive market signals

The characteristics with the largest local differences

These four characteristics show the largest available differences between K0K and the Canadian postal-region benchmark.

37.0 percentage points above benchmark

Single-detached homes

89.6%

Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.

18.8 percentage points above benchmark

Owner households

85.3%

Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.

14.7 percentage points below benchmark

Immigrant population

8.2%

Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.

11.4 percentage points below benchmark

Bachelor's degree or higher

15.1%

Use direct, practical language that demonstrates the everyday value of the offer.

Detailed comparison

How K0K compares with the Canadian benchmark

Use the difference column to identify which measures are most useful for creative, offer, channel, and geographic targeting decisions.

MeasureK0KCanada FSA benchmarkDifference
Median household income$83,000$85,7883.2% below
Average household size2.4 people2.4 people1.2% below
Owner households85.3%66.5%18.8 percentage points above
One-person households23.2%29.4%6.2 percentage points below
Families with children30.3%34.0%3.7 percentage points below
Bachelor's degree or higher15.1%26.5%11.4 percentage points below
Immigrant population8.2%22.9%14.7 percentage points below
Worked from home20.0%23.8%3.8 percentage points below

Local market context

Community activity around the audience

AudienceScout connects 450 local facility records with K0K. Recreation is the largest represented category with 340 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education48
Health care35
Culture and art27
Recreation340

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 77,258 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

58,150YouTube estimate · 60.3%
77,258Facebook estimate · 80.2%
45,648Instagram estimate · 47.4%
21,679TikTok estimate · 22.5%

Practical campaign implications

Turn the strongest K0K 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: 89.6%37.0 percentage points above the Canadian benchmark

    Home maintenance, outdoor, renovation, utilities, and property-related campaigns may deserve a larger test.

  • Owner households: 85.3%18.8 percentage points above the Canadian benchmark

    Prioritize home, property, renovation, financial, and longer-term service propositions where relevant.

  • Immigrant population: 8.2%14.7 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.

K0K audience questions

Using this postal-region profile

How large is the audience in K0K?

K0K represents 115,850 residents and 47,025 households in Quinte Shores, East Northumberland County & Prince Edward County. The average household size is 2.4 people.

What demographic characteristics stand out in K0K?

Single-detached homes is 89.6%, 37.0 percentage points above the Canadian postal-region benchmark; Owner households is 85.3%, 18.8 percentage points above the Canadian postal-region benchmark; Immigrant population is 8.2%, 14.7 percentage points below the Canadian postal-region benchmark.

How does K0K compare with another postal region?

K0A is one useful Ontario market comparison because its population is similar to K0K. It has 38.6% higher median income · 4.5 years younger on average.

How can I find other regions that match the K0K audience?

To find regions with a profile similar to K0K, begin with home ownership near 85.3% and university education near 15.1%. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in K0K?

Import postal codes to measure customer concentration in K0K, 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.