Sydney Suburb Intelligence
Demand 9/10: Macleay Street hospitality density rivals Newtown; apartment-heavy demographics drive daily café and dining visits.
Composite score
Verdict
CAUTION
Proceed with clear plan
Factor Breakdown
Each factor is scored 1–10. Higher demand is better; lower rent, competition, and seasonality are better. Tourism is context-dependent.
Business-Type Scores
Scores use engine-derived weights: cafés weight demand and rent most heavily; restaurants factor tourism; retail factors tourism and demand equally.
Analyst Notes — Potts Point
Demand 9/10: Macleay Street hospitality density rivals Newtown; apartment-heavy demographics drive daily café and dining visits.
Tourism 7/10: Potts Point hotel and serviced apartment concentration supports evening restaurant trade.
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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