SiteMetriq Research
We analysed 332 Singapore subzones using URA, LTA, SingStat, and HDB data. These articles publish what the data shows - written for operators, investors, and anyone thinking seriously about commercial location in Singapore.
The full ranking of 332 Singapore subzones for F&B commercial viability - scored across rent, transit, residential demand, competition, and development pipeline. Updated annually.
Read the report →August 2026
URA rental transaction data across Singapore planning areas. Median PSF by district, fastest-rising markets, and where rent is falling. Jurong West is more expensive than the CBD.
Read →We mapped rent-to-demand disconnect across 100 subzones. The best value location costs 58% less per sqft than the worst. The break-even gap between them is more than double.
Read →Bubble tea needs youth demographics, transit volume, and low rent. We scored 100 subzones for bubble tea specifically - the rankings differ significantly from general F&B.
Read →SingStat Census 2020 and HDB data mapped by subzone. Median household income, age breakdown, elderly concentration, and young family data - organised by what operators actually need.
Read →Three unit types, three rent structures, three demand profiles. We compared the economics using real URA transaction data. Most operators choose unit type wrong.
Read →Muslim catchment varies from under 3% to over 60% across Singapore subzones. Opening a halal concept requires a different location analysis. We mapped where the demand signals are strongest - and where operators commonly misjudge the market.
Read →The landlord has URA transaction data. Most tenants don't. We explain how to read the public rental transaction database, what rent anomalies signal, and which lease terms are worth more than a headline rent reduction.
Read →Primary care clinics operate on different location logic from aesthetic or specialist clinics. Residential density and competition spacing drive viability more than foot traffic. We scored 332 subzones with primary care-specific weighting.
Read →Fitness studios need younger demographics, higher household income, and low existing competition within 1km. We applied fitness-specific scoring across 332 Singapore subzones. The results differ from F&B and clinic models in important ways.
Read →July 2026
We analysed 332 Singapore subzones. The highest-scoring locations for food and beverage aren't in Orchard, Tanjong Pagar, or anywhere near the CBD.
Read →We calculated the daily cover requirement for F&B operators across Singapore subzones. At Orchard rents, you need more than four times the daily customers of a Punggol operator.
Read →We mapped commercial rent against F&B demand signals across 332 subzones. Some of Singapore's most expensive addresses score among the weakest for independent operators.
Read →High MRT ridership does not automatically mean good F&B demand. Raffles Place has the highest tap-outs in our dataset - and one of the lowest commercial demand scores.
Read →In several central districts, rent has run well ahead of actual F&B demand signals. In several suburban areas, the opposite is true. We mapped the gap across 332 subzones.
Read →We scored 332 subzones for café viability. Tiong Bahru is no longer the answer it was - rent has outrun demand. Here are the three subzones with Tiong Bahru's old demand profile at 2019 Tiong Bahru rent.
Read →The deposit alone at Orchard Road is more than the total renovation budget of a Tampines East operator. We calculated total capex, monthly break-even, and payback period across five locations.
Read →Seven subzones where residential pipeline, new transit, and population growth all point upward - but commercial rent has not yet repriced. The locations with the widest opportunity window in our dataset.
Read →URA development approvals are public. We mapped approved residential pipeline against current commercial rent. In several subzones, demand will grow materially before rent reprices.
Read →Clinics need income demographics more than foot traffic, and draw from a 1,500–3,000m catchment vs 300m for F&B. We re-scored 332 subzones with clinic-specific weighting. The rankings shift significantly.
Read →Research is updated as underlying datasets are refreshed. The Singapore Commercial Opportunity Index is published annually. Individual subzone scores are not published - only directional findings derived from our analysis. Full methodology →