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AnalyseMackayMount Pleasant

Mackay Suburb Intelligence

Mount Pleasant

Mount Pleasant is the most affluent suburb in Mackay — a mining executive and senior professional demographic with the highest per-visit spend in the region, and expectations for quality that local operators have consistently underserved.

CAUTIONBest fit: Café (73/100)

Composite score

68
out of 100

Verdict

CAUTION

Proceed with clear plan

73
Café
66
Restaurant
61
Retail

Factor Breakdown

Five-factor model

Each factor is scored 1–10. Higher demand is better; lower rent, competition, and seasonality are better. Tourism is context-dependent.

7/10
Demand
4/10
Rent cost
4/10
Competition
2/10
Seasonality
2/10
Tourism dep

Business-Type Scores

How each format performs

Café / Specialty Coffee73
Full-Service Restaurant66
Independent Retail61

Scores use engine-derived weights: cafés weight demand and rent most heavily; restaurants factor tourism; retail factors tourism and demand equally.

Analyst Notes — Mount Pleasant

What the data says about this location

1

Mount Pleasant is the most affluent suburb in Mackay — a mining executive and senior professional demographic with the highest per-visit spend in the region, and expectations for quality that local operators have consistently underserved.

2

Competition is 4/10: the income demographic is well ahead of the hospitality supply, meaning quality independent operators face limited direct competition and build loyal regulars quickly.

3

FIFO worker households in Mount Pleasant spend differently from the wider Mackay population — higher discretionary income, concentrated spending windows, and strong preference for quality over price.

4

Rent is 4/10: below comparable high-income demographics in Cairns or Townsville, making break-even achievable at lower revenue thresholds and giving operators a longer runway to establish their customer base.

5

Low seasonality (2/10) reflects the professional residential base rather than tourism — trade is consistent across the calendar and not sensitive to mining-cycle fluctuations at the consumer level.

Methodology: Scores are engine-derived from five observable inputs (demand strength, rent pressure, competition density, seasonality risk, tourism dependency — each 1–10). These feed into business-type-specific weighted composites via a single scoring engine used across all markets. Scores are relative estimates calibrated across all Mackay suburbs — a score of 75 indicates materially better conditions than 60; it is not a success probability or guarantee.

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