Ontario postal region

L9E demographics and market profile

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

AudienceScoutL9E · Milton
Loading the L9E boundary…
Postal code boundary map for L9E.

Market profile

A market of 16,933 people

Size the opportunity, understand its household composition, and identify the local patterns that make L9E different from the typical Canadian postal region.

Population16,933
Households4,880
Median income$124,000
Average age31.6

L9E market summary

What distinguishes this postal-region audience

L9E represents 16,933 residents and 4,880 households in Milton. Its average household contains 3.5 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 immigrant population: 51.2%, or 28.3 percentage points above the benchmark. Families with children is 58.1%, 24.1 percentage points above the benchmark.

For campaign planning, these patterns give L9E 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 Milton.

Audience matching

Find more regions that resemble L9E

To find regions with a profile similar to L9E, begin with families with children near 58.1% and university education near 49.4%. 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 L9E and the Canadian postal-region benchmark.

28.3 percentage points above benchmark

Immigrant population

51.2%

Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.

24.1 percentage points above benchmark

Families with children

58.1%

Test family-oriented services, household value, education, recreation, and parent-focused creative.

22.9 percentage points above benchmark

Bachelor's degree or higher

49.4%

Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.

44.5% above benchmark

Median household income

$124,000

Test premium, higher-consideration, or value-led offers grounded in a clear customer benefit.

Detailed comparison

How L9E compares with the Canadian benchmark

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

MeasureL9ECanada FSA benchmarkDifference
Median household income$124,000$85,78844.5% above
Average household size3.5 people2.4 people44.0% above
Owner households74.5%66.5%8.0 percentage points above
One-person households9.9%29.4%19.5 percentage points below
Families with children58.1%34.0%24.1 percentage points above
Bachelor's degree or higher49.4%26.5%22.9 percentage points above
Immigrant population51.2%22.9%28.3 percentage points above
Worked from home42.3%23.8%18.5 percentage points above

Local market context

Community activity around the audience

AudienceScout connects 15 local facility records with L9E. Recreation is the largest represented category with 13 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education2
Health care0
Culture and art0
Recreation13

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 9,779 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

8,345YouTube estimate · 71.7%
9,779Facebook estimate · 84.0%
6,792Instagram estimate · 58.3%
3,543TikTok estimate · 30.4%

Practical campaign implications

Turn the strongest L9E signals into campaign tests

Use these as evidence-based starting hypotheses, then validate them against campaign performance and your own customer results.

  • Immigrant population: 51.2%28.3 percentage points above the Canadian benchmark

    Consider culturally relevant research, multilingual media where appropriate, and creative tested with the communities being addressed.

  • Families with children: 58.1%24.1 percentage points above the Canadian benchmark

    Test family-oriented services, household value, education, recreation, and parent-focused creative.

  • Bachelor's degree or higher: 49.4%22.9 percentage points above the Canadian benchmark

    Professional, technology, financial, and knowledge-led propositions can be tested with more specialized messaging.

Related market context

Compare other Milton postal regions

These regions share the Milton postal community and are ordered by population similarity to L9E.

L9E audience questions

Using this postal-region profile

How large is the audience in L9E?

L9E represents 16,933 residents and 4,880 households in Milton. The average household size is 3.5 people.

What demographic characteristics stand out in L9E?

Immigrant population is 51.2%, 28.3 percentage points above the Canadian postal-region benchmark; Families with children is 58.1%, 24.1 percentage points above the Canadian postal-region benchmark; Bachelor's degree or higher is 49.4%, 22.9 percentage points above the Canadian postal-region benchmark.

How does L9E compare with another postal region?

L9T is one useful Milton postal-region comparison because its population is similar to L9E. It has 1.6% higher median income · 3.7 years older on average.

How can I find other regions that match the L9E audience?

To find regions with a profile similar to L9E, begin with families with children near 58.1% and university education near 49.4%. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in L9E?

Import postal codes to measure customer concentration in L9E, 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.