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AnalyseMackayPaget

Mackay Suburb Intelligence

Paget

Paget is Mackay's primary industrial and trade services precinct — the customer base is business-to-business and working-professional rather than the casual hospitality consumer that most independent operators target.

CAUTIONBest fit: Café (74/100)

Composite score

68
out of 100

Verdict

CAUTION

Proceed with clear plan

74
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.

5/10
Demand
2/10
Rent cost
2/10
Competition
2/10
Seasonality
1/10
Tourism dep

Business-Type Scores

How each format performs

Café / Specialty Coffee74
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 — Paget

What the data says about this location

1

Paget is Mackay's primary industrial and trade services precinct — the customer base is business-to-business and working-professional rather than the casual hospitality consumer that most independent operators target.

2

The industrial worker demographic creates strong demand for high-volume, fast-service food formats — lunch trade from workshops, warehouses, and trade businesses can be significant for correctly positioned operators.

3

Competition is 2/10: very limited independent hospitality in the precinct, reflecting the specialised nature of demand rather than untapped consumer opportunity.

4

Rent is 2/10: industrial precinct commercial rents are the lowest in the Mackay region, creating viable economics for operators who correctly target the B2B and trade worker customer base.

5

Low tourism (1/10) and low seasonality (2/10) make Paget a consistent but niche market — operators who thrive here specialise in serving the working industrial community rather than pursuing the broader hospitality market.

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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