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Where new resale supply is coming from

By IndexProp SG29 August 20266 min read

Most housing markets have no forward view of supply at all. Singapore has an unusual one: a flat bought from the housing authority cannot be resold until it has been occupied for a minimum period, and the authority publishes enough about its own stock to count the flats crossing that line. Over the coming year, 18,369 flats across 11 districts become eligible to resell.

What is this figure not?

It is not a forecast of listings, and reading it as one is the mistake this article exists to prevent. Becoming eligible to sell is not deciding to sell. Most households who reach the end of the period stay put, and only a small fraction transact in any year.

For scale: across these districts, resales currently run at about 2.6% of eligible stock a year. Becoming able to sell and choosing to sell are very different things, and the first is a much larger number than the second.

So the right reading is directional: a district with a large cohort reaching eligibility has more potential sellers than one without, which over time tends to mean more choice for buyers and more competition for sellers. It does not tell you prices will move, and nothing here should be read as saying they will.

Where is the cohort?

Sold flats reaching the end of their minimum occupation period in the coming year, by district, against the district’s own dwelling stock. These become eligible to resell; most will not.
DistrictRegionBecoming eligibleDwelling unitsShare of stockCurrent turnover
YishunNorth3,06870,5594.3%2.5%
TampinesEast2,69187,2603.1%2.8%
PunggolNorth-East2,67262,7524.3%3.1%
GeylangCentral1,81535,7985.1%2.5%
Toa PayohCentral1,69448,9433.5%2.7%
ClementiWest1,51128,0155.4%2.1%
Bukit BatokWest1,39747,1543.0%3.2%
SengkangNorth-East1,30076,2651.7%2.5%
Bukit PanjangWest1,22137,0983.3%2.2%
WoodlandsNorth62972,5150.9%2.8%
Choa Chu KangWest37150,1710.7%2.1%

The pattern follows building history rather than desirability. The largest cohorts are in the districts that were built out most recently, because a flat reaches this milestone a fixed number of years after it was bought new. A district with a big number here is a district that was growing several years ago.

The share-of-stock column is the one to compare across districts, for the same reason the share matters more than the count when counting million-dollar resales: a raw count mostly measures how big the district is.

What does it mean if you are buying?

If you are looking in one of these districts, you are likely to see more flats of a similar age and type come to market over the next couple of years, and they will be flats with a long lease remaining, because they are only a few years old. That is a genuinely useful thing to know and it argues for patience rather than urgency.

If you are selling in one, the same cohort is your competition, and it is competition with very similar flats. That argues for the opposite.

What does it mean if you are selling an older flat?

Less than it looks. A newly eligible flat and a thirty-year-old one in the same district are not close substitutes, because the remaining lease differs by decades and the lease is priced. The cohort competes hardest with flats of a similar age, which in these districts means other recently eligible flats.

Figures are read live and current to August 2026. Only districts that publish a cohort appear; a district with no figure has none reaching the milestone in the window, not an unknown number.

Sources

  • HDB Property Information, Housing & Development Board, via Data.gov.sg

    Block-level stock and lease commencement, from which eligibility dates are derived.

    Singapore Open Data Licence v1.0.

  • HDB Resale Flat Prices, Housing & Development Board, via Data.gov.sg

    The transactions the turnover column is computed from.

    Singapore Open Data Licence v1.0.

  • IndexProp SG methodology

    How eligibility is derived and what the turnover denominator is.

See it in the data

The districts this article reads against, each with its own median, price history and resales table.

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