Ontario postal region

L0K demographics and market profile

See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Lake Simcoe.

AudienceScoutL0K · Lake Simcoe
Loading the L0K boundary…
Postal code boundary map for L0K.

Market profile

A market of 38,386 people

Size the opportunity, understand its household composition, and identify the local patterns that make L0K different from the typical Canadian postal region.

Population38,386
Households15,850
Median income$88,000
Average age46.5

L0K market summary

What distinguishes this postal-region audience

L0K represents 38,386 residents and 15,850 households in Lake Simcoe. 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: 91.0%, or 38.4 percentage points above the benchmark. Owner households is 89.4%, 22.9 percentage points above the benchmark.

For campaign planning, these patterns give L0K 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 Lake Simcoe.

Audience matching

Find more regions that resemble L0K

To find regions with a profile similar to L0K, begin with home ownership near 89.4% and university education near 14.7%. 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 L0K and the Canadian postal-region benchmark.

38.4 percentage points above benchmark

Single-detached homes

91.0%

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

22.9 percentage points above benchmark

Owner households

89.4%

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

14.1 percentage points below benchmark

Immigrant population

8.8%

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

11.8 percentage points below benchmark

Bachelor's degree or higher

14.7%

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

Detailed comparison

How L0K compares with the Canadian benchmark

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

MeasureL0KCanada FSA benchmarkDifference
Median household income$88,000$85,7882.6% above
Average household size2.4 people2.4 people1.2% below
Owner households89.4%66.5%22.9 percentage points above
One-person households23.8%29.4%5.6 percentage points below
Families with children29.7%34.0%4.3 percentage points below
Bachelor's degree or higher14.7%26.5%11.8 percentage points below
Immigrant population8.8%22.9%14.1 percentage points below
Worked from home19.2%23.8%4.6 percentage points below

Local market context

Community activity around the audience

AudienceScout connects 75 local facility records with L0K. Recreation is the largest represented category with 55 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education10
Health care4
Culture and art6
Recreation55

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 25,864 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

19,518YouTube estimate · 60.5%
25,864Facebook estimate · 80.2%
15,325Instagram estimate · 47.5%
7,279TikTok estimate · 22.6%

Practical campaign implications

Turn the strongest L0K 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: 91.0%38.4 percentage points above the Canadian benchmark

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

  • Owner households: 89.4%22.9 percentage points above the Canadian benchmark

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

  • Immigrant population: 8.8%14.1 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.

Related market context

Compare other Lake Simcoe postal regions

These regions share the Lake Simcoe postal community and are ordered by population similarity to L0K.

L0K audience questions

Using this postal-region profile

How large is the audience in L0K?

L0K represents 38,386 residents and 15,850 households in Lake Simcoe. The average household size is 2.4 people.

What demographic characteristics stand out in L0K?

Single-detached homes is 91.0%, 38.4 percentage points above the Canadian postal-region benchmark; Owner households is 89.4%, 22.9 percentage points above the Canadian postal-region benchmark; Immigrant population is 8.8%, 14.1 percentage points below the Canadian postal-region benchmark.

How does L0K compare with another postal region?

L0L is one useful Lake Simcoe postal-region comparison because its population is similar to L0K. It has 20.5% higher median income · 2.7 years younger on average.

How can I find other regions that match the L0K audience?

To find regions with a profile similar to L0K, begin with home ownership near 89.4% and university education near 14.7%. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in L0K?

Import postal codes to measure customer concentration in L0K, 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.