Manitoba postal region

R4L demographics and market profile

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

AudienceScoutR4L · St. Francois Xavier
Loading the R4L boundary…
Postal code boundary map for R4L.

Market profile

A market of 1,350 people

Size the opportunity, understand its household composition, and identify the local patterns that make R4L different from the typical Canadian postal region.

Population1,350
Households475
Median income$119,000
Average age39.0

R4L market summary

What distinguishes this postal-region audience

R4L represents 1,350 residents and 475 households in St. Francois Xavier. Its average household contains 2.9 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: 97.9%, or 45.3 percentage points above the benchmark. Owner households is 94.7%, 28.2 percentage points above the benchmark.

For campaign planning, these patterns give R4L 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 St. Francois Xavier.

Audience matching

Find more regions that resemble R4L

To find regions with a profile similar to R4L, begin with home ownership near 94.7% and household income near $119,000. 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 R4L and the Canadian postal-region benchmark.

45.3 percentage points above benchmark

Single-detached homes

97.9%

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

28.2 percentage points above benchmark

Owner households

94.7%

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

38.7% above benchmark

Median household income

$119,000

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

17.2 percentage points below benchmark

Immigrant population

5.7%

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

Detailed comparison

How R4L compares with the Canadian benchmark

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

MeasureR4LCanada FSA benchmarkDifference
Median household income$119,000$85,78838.7% above
Average household size2.9 people2.4 people19.3% above
Owner households94.7%66.5%28.2 percentage points above
One-person households13.7%29.4%15.7 percentage points below
Families with children44.2%34.0%10.2 percentage points above
Bachelor's degree or higher19.5%26.5%7.0 percentage points below
Immigrant population5.7%22.9%17.2 percentage points below
Worked from home18.3%23.8%5.5 percentage points below

Local market context

Community activity around the audience

AudienceScout connects 1 local facility records with R4L. Education is the largest represented category with 1 records, adding another signal for local media, partnership, service-area, and campaign planning.

Education1
Health care0
Culture and art0
Recreation0

Platform audience potential

Match channel planning to the local age mix

Facebook has the largest modeled audience among the displayed channels at 830 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.

651YouTube estimate · 63.8%
830Facebook estimate · 81.3%
519Instagram estimate · 50.9%
257TikTok estimate · 25.2%

Practical campaign implications

Turn the strongest R4L 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: 97.9%45.3 percentage points above the Canadian benchmark

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

  • Owner households: 94.7%28.2 percentage points above the Canadian benchmark

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

  • Median household income: $119,00038.7% above the Canadian benchmark

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

R4L audience questions

Using this postal-region profile

How large is the audience in R4L?

R4L represents 1,350 residents and 475 households in St. Francois Xavier. The average household size is 2.9 people.

What demographic characteristics stand out in R4L?

Single-detached homes is 97.9%, 45.3 percentage points above the Canadian postal-region benchmark; Owner households is 94.7%, 28.2 percentage points above the Canadian postal-region benchmark; Median household income is $119,000, 38.7% above the Canadian postal-region benchmark.

How does R4L compare with another postal region?

R5R is one useful Manitoba market comparison because its population is similar to R4L. It has 5.0% lower median income · 4.1 years older on average.

How can I find other regions that match the R4L audience?

To find regions with a profile similar to R4L, begin with home ownership near 94.7% and household income near $119,000. Adjust each minimum to make the audience broader or more selective.

How can customer postal codes be analyzed in R4L?

Import postal codes to measure customer concentration in R4L, 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.