Answer first

What the records show

15 reported groups meet the publication threshold; the first three are shown below without combining them.

  • D'Nest: 12 recorded transactions; median recorded price S$1,395,944; median floor area 936.5 sq ft.
  • Kingsford Waterbay: 10 recorded transactions; median recorded price S$984,000; median floor area 678.1 sq ft.
  • Parc Esta: 9 recorded transactions; median recorded price S$1,725,000; median floor area 742.7 sq ft.

Observed period: 2026-08. These are historical recorded transactions. They do not show homes available now.

Evidence table

Full aggregate table

767 matching recorded transactions

98 observations appear in 15 reported groups. 669 observations are withheld from small groups. Each displayed group contains at least five transactions.

Recorded transactions

First 12 valid groups in table order. Bars share a zero baseline. Values below repeat the publication aggregates.

Recorded salesProjectArea 25th percentile (sq ft)Area 75th percentile (sq ft)Median area (sq ft)Median price (S$)
12D'Nest753.5968.8936.51,395,944
10Kingsford Waterbay527.4941.8678.1984,000
9Parc Esta721.2839.6742.71,725,000
7Coco Palms823.41,426.21,248.61,740,018
7Riverfront Residences489.8791.1613.51,060,000
6Normanton Park871.9968.8952.61,915,000
6Park Colonial497.8659.3618.91,370,000
6Residential Apartments1,130.21,364.61,216.31,701,000
5Affinity At Serangoon538.2731.9538.2900,000
5Avenue South Residence656.6688.9656.61,390,000
5Jadescape764.21,151.7764.21,730,000
5Melville Park958.01,001.0990.3930,000
5Reflections at Keppel Bay1,550.01,905.21,797.63,000,000
5The Tapestry473.6990.3925.71,715,000
5Treasure At Tampines678.11,011.8914.91,600,000

Displayed prices are rounded to whole dollars and areas to one decimal place. Download the CSV for exact stored aggregate values.

Method

Use active non-synthetic official single-unit strata resale observations for the stated period, restricted to public property identities. Preserve repeated source observations. Group only by the named dimensions. Suppress every group below five transactions. Count observations and calculate median total price and area, and area quartiles, with linear interpolation of sorted observations. No mix adjustment is applied.

What these results cannot tell you

These records are historical transactions, not available inventory. Raw groups differ in lease, floor, size, condition and property mix; differences do not establish causation or investment returns. Source coverage and reporting lags can change counts. The current month may be incomplete, and even a completed calendar month can receive later records. No inference about unsold homes or publication-time availability is supported. Repeated source observations are preserved; this is not a count of unique homes. A dated report retains its cited snapshot version until explicitly refreshed; a newer source generation may contain corrections.

Each takeaway repeats one stored aggregate row. Group medians are not pooled, adjusted or treated as evidence of cause.

Source coverage and snapshots

URA private residential transactions · Urban Redevelopment Authority

Official dataset documentation · Licence or terms. Source: URA. Transaction records are subject to corrections and rolling five-year coverage.

Snapshot retrieved 2026-09-06T04:10:41.317123+00:00. Source period 2021-08 to 2026-08. 133,642 rows in the whole source snapshot, not the study sample. Scope: nationwide. Source publication timestamp is not supplied.

Snapshot 49e29c50-c7e1-40ed-9bc6-7b064eaced5d · checksum 30bdf440a1ca0475dc0a83cda3a852f531830b0112e425efdc1527a38c1da114

Cite this analysis

Monthly condo and apartment resale report: 2026-08. Property Upside automated descriptive analysis, version eaf32d0481132725cc58a49c.

Canonical report URL
https://propertyupside.com/research/condo-resale-monthly-2026-08/
Observed period
2026-08

Link to this report and attribute the underlying government dataset separately. Check the provider’s current licence and terms before reusing source material; this page does not grant rights to the underlying dataset.

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