Where commercial rent is disconnected from demand in Singapore - and where it isn't
In a well-functioning market, rent should track demand. Singapore's commercial property market is not always well-functioning. 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.
Commercial rent in Singapore is priced on prestige, accessibility, and precedent - not on the underlying demand for F&B specifically. Orchard Road commands a rent premium because of brand visibility and the perception of foot traffic, not because the demand signals for an independent café concept justify it.
The result is a systematic disconnection between what locations cost and what they deliver. In some areas the disconnection is significant. In others - particularly suburban residential subzones - demand has moved ahead of rent, creating a window for operators who know where to look.
The demand-per-rent index
We built a simple index: demand score divided by rent (SGD psf per month). A higher number means you are getting more demand signal per dollar of rent paid. A lower number means rent has run ahead of what the location actually delivers.
This is not the only number that matters - a very cheap location in a poor area can have a high index but no real demand. The index is most useful in the middle band, where two locations look superficially similar but one is genuinely better value.
Where rent is ahead of demand
Marina Bay sits at the bottom of the index. A demand score of 31 against a PSF of SGD 17.40 produces a value index of 1.8 - the lowest in our dataset. For every dollar of rent, you are getting almost no meaningful F&B demand signal. The foot traffic exists, but it is CBD commuter and tourist traffic that does not translate to the kind of habitual local patronage that sustains an independent operator.
Jurong Port (score 27, PSF 21.17) and Senoko North (score 20, PSF 17.87) sit in the same overpriced band. These are locations where reputation and perception have pushed rent beyond what the underlying demand fundamentals justify.
Where demand is ahead of rent
Punggol tops the index. A score of 74 against SGD 3.60 psf produces a value index of 20.6. The reasons are straightforward: large, dense residential population, strong pipeline of new residential units, reasonable MRT access, and very low competition density. Rent has not yet repriced to reflect this.
Tampines East is similar - score of 82, PSF of 4.40, index of 18.6. The combination of the highest residential pipeline in our dataset and competitive rent is what puts it among the top performers.
↑ Demand ahead of rent
Punggol
Rent
$3.6
Score
74
Index
20.6
Sengkang Central
Rent
$3.9
Score
79
Index
20.3
Tampines East
Rent
$4.4
Score
82
Index
18.6
↓ Rent ahead of demand
Marina Bay
Rent
$17.4
Score
31
Index
1.8
Orchard / Cairnhill
Rent
$19.2
Score
38
Index
2
Dhoby Ghaut
Rent
$13.1
Score
44
Index
3.4
The disconnection won't last forever
Rent reprices when landlords notice operators are doing well. The suburban locations with high demand-per-rent ratios are not permanently undervalued - they are currently undervalued. As Jurong Lake District development accelerates, as Tampines' residential pipeline delivers new residents, and as more operators figure out what the data shows, the gap will narrow.
The operators who move first - before the repricing - lock in the structural advantage. The ones who wait until the location is "proven" are the ones paying post-repricing rent.
What to do with this
The index gives you a framework for comparing locations at a planning area level. What it doesn't tell you is whether your specific unit, at the specific rent your landlord is quoting, is above or below the subzone benchmark.
Two units in the same subzone can have very different value propositions depending on the exact street, the exact unit size, and the specific lease terms on offer. The subzone index is the starting point. The address-level analysis is the decision point.
About this analysis. Demand scores are calculated from URA rental transaction data, LTA ridership data, SingStat Census 2020, HDB residential data, and URA development pipeline. The demand-per-rent index is calculated as score ÷ PSF using planning-area median rent from URA commercial transactions. Scores reflect mid-2026. Full methodology: SiteMetriq.sg/sg/about