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Sydney Suburb Intelligence

Woollahra

Demand 8/10: Queen Street antique and café precinct with a wealthy residential and design professional catchment.

CAUTIONBest fit: Café (65/100)

Composite score

63
out of 100

Verdict

CAUTION

Proceed with clear plan

65
Café
63
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.

8/10
Demand
7/10
Rent cost
5/10
Competition
3/10
Seasonality
5/10
Tourism dep

Business-Type Scores

How each format performs

Café / Specialty Coffee65
Full-Service Restaurant63
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 — Woollahra

What the data says about this location

1

Demand 8/10: Queen Street antique and café precinct with a wealthy residential and design professional catchment.

2

Rent 7/10: high — boutique operators with strong margins perform; volume-dependent models struggle.

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

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