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 — Lyneham
Quiet inner-north village strip with under-served café and grocer demand from nearby suburbs
Low competition density creates first-mover advantage for quality operators
Highly walkable catchment from Turner, O'Connor and Watson residential areas
Rent ($240–$320/m²) reflects the low-profile location but not the quality of the catchment
ANU proximity brings academics and researchers seeking a quieter work-from-café environment
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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