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 — Belconnen
Second-largest town centre in ACT by retail floor space — large and captive catchment
University of Canberra adds 12,000+ students within 2km creating reliable daytime demand
Westfield anchor stabilises foot traffic but creates dependency on mall developer decisions
Rent ($220–$340/m²) is among the lowest for a major Canberra commercial area
Untapped demand for specialty coffee, plant-based dining and fast-casual formats
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 Canberra suburbs — a score of 80 indicates materially better conditions than 65; it is not a success probability or guarantee.
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