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 — Dulwich Hill
Light rail plus station access drives consistent commuter coffee demand with a stable local residential base.
Rent remains materially below Newtown/Enmore equivalents, creating one of the better inner-west cost-to-demand profiles.
The suburb is in a slower-burn gentrification phase, which favours operators with community retention over high-volume destination playbooks.
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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