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Perth Suburb Intelligence

Fremantle

Demand 7/10: tourism uplift plus strong local demographic; heritage precinct drives weekend trade.

CAUTIONBest fit: Retail (68/100)

Composite score

66
out of 100

Verdict

CAUTION

Proceed with clear plan

65
Café
67
Restaurant
68
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 by business type.

7/10
Demand
5/10
Rent cost
5/10
Competition
4/10
Seasonality
8/10
Tourism dep

Business-Type Scores

How each format performs

Café / Specialty Coffee65
Full-Service Restaurant67
Independent Retail68

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

Analyst Notes — Fremantle

What the data says about this location

1

Demand 7/10: tourism uplift plus strong local demographic; heritage precinct drives weekend trade.

2

Seasonality 4/10: tourist-driven revenue creates significant winter-summer variance.

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 Perth suburbs — a score of 80 indicates materially better conditions than 65; it is not a success probability.

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