Property
Condominium · Jalan Tembusu · District 15 · Rest of Central Region
What the public record says. Where the record is silent, this says so.
Straight-line distance between the projects’ recorded locations. Choose a name to see its record; “Compare” draws it on the chart, up to 4 at a time. A project with too few sales in any quarter has no line to draw.
Source: URA, recorded sales to Sep 2026.
504 recorded sales, Apr 2023 to Sep 2026, beside apartments and condominiums in district 15.
Bedrooms
The sale record carries no bedroom count. These come from URA rental contracts for homes of each size: 500 of the 504 sales from this project's own contracts, 4 from contracts for that size in the district.
Source: URA, recorded sales to Sep 2026.
Most recent first. This is the record, not a view on any home.
504 recorded sales · * Bedroom count estimated from similar homes in the district.
| When | Bedrooms | Size (sq ft) | Floor | Price | Per sq ft |
|---|---|---|---|---|---|
| Sep 2026 | 4 * | 2,691 | 16–20 | $5,900,000.00 | $2,192.51 |
| Sep 2026 | 1 | 527.4 | 16–20 | $1,434,000.00 | $2,718.84 |
| Aug 2026 | 3 | 990.3 | 16–20 | $2,880,000.00 | $2,908.27 |
| Aug 2026 | 1 | 527.4 | 16–20 | $1,426,000.00 | $2,703.67 |
| Jul 2026 | 4 | 1,431.6 | 1–5 | $4,000,000.00 | $2,794.08 |
| Jul 2026 | 3 | 1,173.3 | 16–20 | $3,280,000.00 | $2,795.62 |
| Jul 2026 | 3 | 990.3 | 6–10 | $2,673,000.00 | $2,699.24 |
| Jul 2026 | 3 | 990.3 | 6–10 | $2,730,000.00 | $2,756.80 |
| Jul 2026 | 2 | 667.4 | 6–10 | $1,800,000.00 | $2,697.19 |
| Jun 2026 | 2 | 742.7 | 6–10 | $2,050,000.00 | $2,760.17 |
Source: URA, recorded sales to Sep 2026.
These scores show how well each home type in this project fits four types of buyer, based on public records. They do not tell you whether the price is right for you or what you can afford.
There isn't enough data to calculate an Investor score for 1-bedroom homes.
Why: The Investor score uses this project's own resale records. When there aren't enough records, we don't calculate the score.
There isn't enough data to calculate a Young family score for 1-bedroom homes.
Why: The Young family score uses this project's own resale records. When there aren't enough records, we don't calculate the score.
There isn't enough data to calculate a Large family score for 1-bedroom homes.
Why: The Large family score uses this project's own resale records. When there aren't enough records, we don't calculate the score.
There isn't enough data to calculate a Downsizer score for 1-bedroom homes.
Why: The Downsizer score uses this project's own resale records. When there aren't enough records, we don't calculate the score.
Why it scores well
What holds it back
onemap, 2026-09-20 · lta_datamall, 2026-09-20
ura_rental, 2026-09-18 · transactions, 2026-10-03
transactions, 2026-10-03
recorded prices 10% above 370 adjusted comparables of the same property type within 2 km over 12 months (mixed prices; lease adjusted on 370, floor on 370)
transactions, 2026-10-03 · calibration/floor_premium, 2026-09-07 · calibration/lease_decay, 2026-09-07
ura_devsales, 2026-09-18 · ura_masterplan, 2026-09-20 · lta_datamall, 2026-09-20 · onemap, 2026-09-20
onemap, 2026-09-20
Other reasons in the score
These count too, but move the score less than the reasons above. A reason at 0.0 scored in the middle, so it neither raises nor lowers the score.
Why it scores well
What holds it back
moe_schools, 2026-09-18 · onemap, 2026-09-20
onemap, 2026-09-20 · lta_datamall, 2026-09-20
transactions, 2026-10-03
transactions, 2026-10-03 · ura_rental, 2026-09-18
recorded prices 10% above 370 adjusted comparables of the same property type within 2 km over 12 months (mixed prices; lease adjusted on 370, floor on 370)
transactions, 2026-10-03 · calibration/floor_premium, 2026-09-07 · calibration/lease_decay, 2026-09-07
ura_devsales, 2026-09-18 · ura_masterplan, 2026-09-20 · lta_datamall, 2026-09-20 · onemap, 2026-09-20
Other reasons in the score
These count too, but move the score less than the reasons above. A reason at 0.0 scored in the middle, so it neither raises nor lowers the score.
Why it scores well
What holds it back
moe_schools, 2026-09-18 · onemap, 2026-09-20
onemap, 2026-09-20 · lta_datamall, 2026-09-20
transactions, 2026-10-03
transactions, 2026-10-03 · ura_rental, 2026-09-18
recorded prices 10% above 370 adjusted comparables of the same property type within 2 km over 12 months (mixed prices; lease adjusted on 370, floor on 370)
transactions, 2026-10-03 · calibration/floor_premium, 2026-09-07 · calibration/lease_decay, 2026-09-07
ura_devsales, 2026-09-18 · ura_masterplan, 2026-09-20 · lta_datamall, 2026-09-20 · onemap, 2026-09-20
Other reasons in the score
These count too, but move the score less than the reasons above. A reason at 0.0 scored in the middle, so it neither raises nor lowers the score.
Why it scores well
What holds it back
onemap, 2026-09-20 · lta_datamall, 2026-09-20
transactions, 2026-10-03 · ura_rental, 2026-09-18
transactions, 2026-10-03
recorded prices 10% above 370 adjusted comparables of the same property type within 2 km over 12 months (mixed prices; lease adjusted on 370, floor on 370)
transactions, 2026-10-03 · calibration/floor_premium, 2026-09-07 · calibration/lease_decay, 2026-09-07
ura_devsales, 2026-09-18 · ura_masterplan, 2026-09-20 · lta_datamall, 2026-09-20 · onemap, 2026-09-20
onemap, 2026-09-20
Other reasons in the score
These count too, but move the score less than the reasons above. A reason at 0.0 scored in the middle, so it neither raises nor lowers the score.
Why it scores well
What holds it back
onemap, 2026-09-20 · lta_datamall, 2026-09-20
ura_rental, 2026-09-18 · transactions, 2026-10-03
transactions, 2026-10-03
recorded prices 30% above 520 adjusted comparables of the same property type within 2 km over 12 months (mixed prices; lease adjusted on 519, floor on 520)
transactions, 2026-10-03 · calibration/floor_premium, 2026-09-07 · calibration/lease_decay, 2026-09-07
ura_devsales, 2026-09-18 · ura_masterplan, 2026-09-20 · lta_datamall, 2026-09-20 · onemap, 2026-09-20
onemap, 2026-09-20
Other reasons in the score
These count too, but move the score less than the reasons above. A reason at 0.0 scored in the middle, so it neither raises nor lowers the score.
Why it scores well
What holds it back
moe_schools, 2026-09-18 · onemap, 2026-09-20
onemap, 2026-09-20 · lta_datamall, 2026-09-20
transactions, 2026-10-03 · ura_rental, 2026-09-18
recorded prices 30% above 520 adjusted comparables of the same property type within 2 km over 12 months (mixed prices; lease adjusted on 519, floor on 520)
transactions, 2026-10-03 · calibration/floor_premium, 2026-09-07 · calibration/lease_decay, 2026-09-07
ura_devsales, 2026-09-18 · ura_masterplan, 2026-09-20 · lta_datamall, 2026-09-20 · onemap, 2026-09-20
onemap, 2026-09-20
Other reasons in the score
These count too, but move the score less than the reasons above. A reason at 0.0 scored in the middle, so it neither raises nor lowers the score.
Why it scores well
What holds it back
moe_schools, 2026-09-18 · onemap, 2026-09-20
onemap, 2026-09-20 · lta_datamall, 2026-09-20
transactions, 2026-10-03
recorded prices 30% above 520 adjusted comparables of the same property type within 2 km over 12 months (mixed prices; lease adjusted on 519, floor on 520)
transactions, 2026-10-03 · calibration/floor_premium, 2026-09-07 · calibration/lease_decay, 2026-09-07
transactions, 2026-10-03 · ura_rental, 2026-09-18
ura_devsales, 2026-09-18 · ura_masterplan, 2026-09-20 · lta_datamall, 2026-09-20 · onemap, 2026-09-20
Other reasons in the score
These count too, but move the score less than the reasons above. A reason at 0.0 scored in the middle, so it neither raises nor lowers the score.
Why it scores well
What holds it back
onemap, 2026-09-20 · lta_datamall, 2026-09-20
transactions, 2026-10-03 · ura_rental, 2026-09-18
transactions, 2026-10-03
recorded prices 30% above 520 adjusted comparables of the same property type within 2 km over 12 months (mixed prices; lease adjusted on 519, floor on 520)
transactions, 2026-10-03 · calibration/floor_premium, 2026-09-07 · calibration/lease_decay, 2026-09-07
ura_devsales, 2026-09-18 · ura_masterplan, 2026-09-20 · lta_datamall, 2026-09-20 · onemap, 2026-09-20
onemap, 2026-09-20
Other reasons in the score
These count too, but move the score less than the reasons above. A reason at 0.0 scored in the middle, so it neither raises nor lowers the score.
There isn't enough data to calculate an Investor score for 4-bedroom homes.
Why: The Investor score uses this project's own resale records. When there aren't enough records, we don't calculate the score.
There isn't enough data to calculate a Young family score for 4-bedroom homes.
Why: The Young family score uses this project's own resale records. When there aren't enough records, we don't calculate the score.
There isn't enough data to calculate a Large family score for 4-bedroom homes.
Why: The Large family score uses this project's own resale records. When there aren't enough records, we don't calculate the score.
There isn't enough data to calculate a Downsizer score for 4-bedroom homes.
Why: The Downsizer score uses this project's own resale records. When there aren't enough records, we don't calculate the score.
There isn't enough data to calculate an Investor score for 5-bedroom homes.
Why: The Investor score uses this project's own rental and resale records and sales of similar homes nearby. When there aren't enough records, we don't calculate the score.
There isn't enough data to calculate a Young family score for 5-bedroom homes.
Why: The Young family score uses this project's own resale records and sales of similar homes nearby. When there aren't enough records, we don't calculate the score.
There isn't enough data to calculate a Large family score for 5-bedroom homes.
Why: The Large family score uses this project's own resale records and sales of similar homes nearby. When there aren't enough records, we don't calculate the score.
There isn't enough data to calculate a Downsizer score for 5-bedroom homes.
Why: The Downsizer score uses this project's own resale records and sales of similar homes nearby. When there aren't enough records, we don't calculate the score.
Source: Reva’s fit scores, built in Oct 2026 from public records.
What new housing supply could mean for your buying decision.
About 255 condo, apartment and EC homes are coming within 2 km by 2031: 255 in 1 listed project.
Potential supply is land that could become homes: Reserve List sites the government sells only on application, estates launched for collective sale, and residential-zoned land with no development on the record. Nothing here is announced, and none of it is counted above.
| Distance | Zoned for | Land area | Plot ratio | Area |
|---|---|---|---|---|
| 146 m away | Residential | 21,516.9 m² | 2.8 | Marine Parade |
| 799 m away | Residential | 5,732.9 m² | 2.8 | Marine Parade |
| 911 m away | Residential | 46,961 m² | 3.5 | Geylang |
| 1,751 m away | Residential | 9,208.6 m² | not stated | Geylang |
From the Master Plan. The record and OpenStreetMap (© OpenStreetMap contributors) show nothing built on these plots. No home count is estimated. The plot ratio is the floor area allowed for each square metre of land: the higher it is, the taller the buildings can be.
The authority’s count of private homes still to be completed in the Rest of Central Region (RCR), by the year they are expected to be completed, as at 2026Q2. It covers the whole region, so it shows the market this project sells into, not what is being built next to it.
| Expected | Under construction | Planned | Total |
|---|---|---|---|
| 2H2026 | 2,518 | 0 | 2,518 |
| 2027 | 4,164 | 62 | 4,226 |
| 2028 | 3,941 | 58 | 3,999 |
| 2029 | 1,490 | 1,191 | 2,681 |
| 2030 | 2,347 | 2,179 | 4,526 |
| >2030 | 0 | 2,085 | 2,085 |
What to consider: a year with many completions means more new homes looking for buyers and tenants at the same time across the region. If you plan to sell or rent out around one of those years, expect more homes competing with yours.
Only projects of at least 200 non-landed or 15 landed units are in the authority's list of uncompleted projects.