Existing condo

Chelsea Lodge

Tanjong Katong Road · Marine Parade · District 15

: Freehold · Completed 2000 (EdgeProp) · 78 homes

Recent sales, median: S$1,566; 5 sales in 24 months
Sales in 12 months: 1

PropGPT has not researched this condo the way it researches new launches: the figures here come from URA's sale and rental records, public map data and, for asking prices, EdgeProp. Visit, check the unit and the building, and ask for the management corporation's accounts before you offer.

Is it worth buying?

PropGPT financial score

89out of 100

Strong case on the numbers

Confidence: high, most figures known (89% of the weight known)

Adds up the measurable lines below: price against comparable homes, rental yield, the lease, how nearby prices moved, MRT distance and competing supply. 65 or more is a strong case on the numbers, 45 to 64 fair, under 45 weak. It leaves out what only you can judge (layout, school, the view) and is not a valuation or advice.

What makes up the score

Score parts: each part's mark out of 100, its share of the score, and why
Part	Mark	Why
Price vs similar homes nearby25% of the scoreCosts 17% less than similar homes nearby; usually 3% less.	100	Costs 17% less than similar homes nearby; usually 3% less.
Rental yield vs typical19% of the scoreRent of about 4.0% of the price a year; typical is 3.2%.	100	Rent of about 4.0% of the price a year; typical is 3.2%.
Price vs other condos in the town13% of the score19% below the typical price of other condos in the town.	100	19% below the typical price of other condos in the town.
Value lost to the lease in the next 10 years13% of the scoreFreehold or 999-year: no lease running down.	100	Freehold or 999-year: no lease running down.
Nearby homes that beat the market13% of the score12 of 23 nearby projects beat the market.	54	12 of 23 nearby projects beat the market.
This condo's own prices vs the marketnot countedNot known yet.	Not known	Not known yet.
Distance to the MRT13% of the score599 m to the nearest station.	67	599 m to the nearest station.
Competing homes finishing nearby6% of the score226 competing homes finishing nearby around the same time.	89	226 competing homes finishing nearby around the same time.

How the score is worked out

What a property agent would weigh up, from public data. Each line gives a plain answer and what it means for you. Open “Show the calculation” on any line for the exact figures.

PropGPT compares private condos and apartments only (ECs with ECs). HDB flats and landed homes are never in these comparisons, and every price is a real sale recorded by URA, not an asking price.

In your favour 4Neutral 3Watch out 0Not known yet 1

Am I paying a fair price?

Price vs similar resale homes nearby · In your favour
Costs about 17% less than similar homes nearby
Condos usually sell for about 3% less than similar homes nearby (the middle figure of 1,294 existing condos PropGPT checked). This one is cheaper than usual for the area.
This condo
S$1,566 psf
Usual for a condo here
S$1,840 psf
Similar homes nearby
S$1,888 psf
Based on 399 resales, Nov 2025 to Nov 2026 · a rough guide only
Show the calculationHide the calculation
What it compares
Each of this condo's own resales (its own 5 resales in the last 24 months) against resale condos and apartments within 1.5 km of a similar size (within 20%), sold Nov 2025 to Nov 2026. Each resale price is scaled to this condo's lease, and to its building age (completed 2000) where the resale's completion year is known. Not included: HDB flats, landed homes, homes resold before completion (sub-sales), and this condo itself.
The figures
This condo: S$1,566 psf, the median of its own 5 resales in the last 24 months.
Nearby resale: 5 of its 5 own sales are each compared with the median of nearby sales within 20% of its size, after the lease adjustment (399 nearby sales in all). The gap is the median of these per-sale gaps; S$1,888 psf is the nearby price that gap implies.
Lease adjustment, for example: a freehold resale at S$2,000 psf counts as about S$1,920 against a new 99-year lease (96% of freehold); a 99-year resale with 70 years left at S$1,500 psf counts as about S$1,646.
Age adjustment: 392 of 399 nearby sales are also scaled to this condo's age (completed 2000), about 0.9% per year of difference. For example, a resale in a building 10 years older at S$1,500 psf counts as about S$1,648. The other 7 have no known completion year and are not age-adjusted.
Gap: S$1,566 psf ÷ S$1,888 psf − 1 = −17%. Usual gap (the middle of 1,294 existing condos): −3%. In your favour when this gap is 5 percentage points or more below the usual gap; watch out when 5 or more above.
How fair is this comparison?
A rough guide only. Existing homes against existing homes, lease and building age adjusted, each sale against homes of its own size; but neighbours differ in condition, size of development and facilities.
What this check cannot see
Building age is adjusted at one average rate, about 0.9% a year (measured from 10,793 private resales in 1,531 condos, Oct 2025 to Oct 2026). Real prices fall faster in a building's first 15 years and slower after, faster for 99-year leases than freehold, and upkeep differs between buildings.
The lease adjustment uses the SLA leasehold table (Bala's Table), which values land, not the building; on very old leases it may over-adjust.
Floor level, view and facing are not adjusted. A condo whose recent sales were mostly high floors looks dearer.
1.5 km in a straight line can reach across an expressway, river or park into a different market.
URA gives one map point per project, so large projects are measured from a single spot.
How PropGPT works out every line
Price vs other existing condos in Marine Parade · In your favour
About 19% below the typical price of other existing condos in Marine Parade
Cheaper than most of the homes you are likely to compare it with.
This condo
S$1,566 psf
Typical in Marine Parade
S$1,924 psf
Based on 71 condos · a rough guide only
Show the calculationHide the calculation
What it compares
Each of this condo's own resales (its own 5 resales in the last 24 months) against resales in other existing condos in the same town (URA planning area) of a similar size (within 20%), sold in the same period, each scaled to this condo's lease, and to its building age (completed 2000) where the other condo's completion year is known.
The figures
This condo: S$1,566 psf
5 of its 5 own sales are each compared with the median of sales of a similar size in 71 other existing condos in Marine Parade. The gap is the median of these per-sale gaps; S$1,924 psf is the town price that gap implies.
Age adjustment: 69 of the 71 other condos are also scaled to this condo's age (completed 2000), about 0.9% per year of difference. The other 2 have no known completion year and are not age-adjusted.
In your favour when 10% or more below the typical price; watch out when 10% or more above.
How fair is this comparison?
A rough guide only. Same town, lease and building age adjusted, each sale against homes of its own size; but condition and distances to the MRT differ within a town.
What this check cannot see
Building age is adjusted at one average rate, about 0.9% a year (measured from 10,793 private resales in 1,531 condos, Oct 2025 to Oct 2026). Real prices fall faster in a building's first 15 years and slower after, faster for 99-year leases than freehold, and upkeep differs between buildings.
How PropGPT works out every line

Can it earn or hold its value?

Rental yield · In your favour
About 4.0% of the price a year in rent, before costs
More than the typical 3.2% for existing condos, so rent would cover more of your costs if you let it out.
This condo
4.0%
Typical for existing condos
3.2%
Based on 3,833 rental contracts, Q1 2026 to Q3 2026
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What it compares
Rents of condos and apartments of similar size within 1.5 km (URA rental contracts, last 4 quarters), per sq ft, × 12, against this condo's price per sq ft.
The figures
Nearby rent: S$5.22 per sq ft a month, median of 3,833 contracts (URA, Q1 2026 to Q3 2026)
Yield = S$5.22 × 12 ÷ S$1,566 psf = 4.0%. In your favour when 0.3 percentage points or more above the typical yield; watch out when 0.3 or more below.
How fair is this comparison?
Fair. Rents of similar homes nearby, not of this condo.
What this check cannot see
Gross yield: property tax, maintenance fees, agent fees and empty months usually take 1 to 2 percentage points off.
URA records rented sizes as ranges (for example 900–1,000 sq ft); PropGPT uses the middle.
Building age is not adjusted: a 25-year-old condo and a 3-year-old one count the same, so part of any gap is simply new against old.
How PropGPT works out every line
Lease · In your favour
Freehold
No lease runs down, so the home does not lose value as the years pass. Buyers usually pay more for this.
Based on URA's title record
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What it compares
The title's tenure, as recorded by URA.
How fair is this comparison?
Very fair. A fact about this home.
What this check cannot see
Freehold land does not protect the building: it still ages, and an en bloc sale needs most owners to agree.
How PropGPT works out every line
How nearby homes' prices moved · Neutral
12 of 23 nearby projects rose faster than the whole market
Homes around here have moved roughly with the market.
Based on 23 nearby projects, sales from Oct 2021 · a rough guide only
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What it compares
For each project within 1.5 km with enough sales: the median price of its first 12 months of sales in PropGPT's data against its resales in the last 12 months, at least 2 years apart, compared with URA's private non-landed price index over the same quarters.
The figures
HAIG COURT (238 m): +29% from 2022-Q2 to 2026-Q2; market +21%
ONE AMBER (509 m): +28% from 2022-Q2 to 2026-Q2; market +21%
THE ESTA (554 m): +29% from 2022-Q2 to 2026-Q2; market +21%
AMBER PARK (658 m): +17% from 2022-Q1 to 2026-Q2; market +25%
THE SHORE RESIDENCES (705 m): +24% from 2022-Q1 to 2026-Q2; market +25%
THE SEA VIEW (721 m): +26% from 2022-Q2 to 2026-Q3; market +21%
In your favour when 60% or more of nearby projects beat the market; watch out at 40% or fewer.
How fair is this comparison?
A rough guide only. Each project against itself over time, so like for like within a project; but the projects are not this one.
What this check cannot see
PropGPT's sales data starts in October 2021, so an older project's 'first year' is a resale year, not its launch.
A project's early sales may be small units and later ones large, or the other way round.
Past price moves do not predict future ones.
How PropGPT works out every line
How this condo's prices moved · Not known yet
Not known yet
Fewer than 5 sales early and 5 sales recently, at least 2 years apart.
Show the calculationHide the calculation
What it compares
This condo's median resale price per sq ft in its first 12 months in PropGPT's data (from October 2021) against its last 12 months, compared with URA's private non-landed price index over the same quarters.
How PropGPT works out every line
MRT · Neutral
599 m to Tanjong Katong MRT Station
A walk of several minutes to the station.
Based on LTA station exits and URA Master Plan 2019, worked out 2 Nov 2026
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What it compares
Straight-line distance from the project's map point to the nearest MRT or LRT exit in service (LTA), and to the nearest planned station (URA Master Plan 2019).
The figures
Nearest planned station: Founders Memorial (planned), 3,410 m
In your favour within 500 m of a station in service or planned; watch out over 1 km from both.
How fair is this comparison?
Very fair. A fact about this location.
What this check cannot see
Straight-line distance: walking routes are longer, often by a third.
Planned stations can be years away and dates change.
How PropGPT works out every line

What could go wrong?

Competing homes finishing nearby · Neutral
226 homes in 1 other project within 1.5 km due 2026–2030
Some competing new homes nearby, fewer than 1,000.
Based on URA's list of projects not yet completed, worked out 2 Nov 2026
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What it compares
Homes in other private projects within 1.5 km that URA lists as not yet completed, due in the next few years.
The figures
URA pipeline of private homes not yet completed.
In your favour when there are none; watch out at 1,000 homes or more.
How fair is this comparison?
Fair. Counts homes, not who will sell or rent them.
What this check cannot see
Completion years in URA's pipeline often shift by a year or more.
Land sold but not yet in URA's pipeline is not counted.
1.5 km in a straight line can reach across an expressway, river or park into a different market.
How PropGPT works out every line
Cost to buy, hold and sell · Fact
S$20,250 in stamp duty for the estimated price
Profit only starts after these costs are covered.
Based on today's IRAS stamp duty rates
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What it compares
Stamp duties under the current IRAS rates for the price shown.
The figures
Stamp duty on S$855K: S$20,250 (assumes a Singapore citizen buying a first home)
Selling within 4 years of buying costs seller's stamp duty of 16% falling to 4%; buying now, that ends around Nov 2030.
A completed home: the full loan starts at once, and a buyer's agent fee (often 1%) is usual if you use one.
How fair is this comparison?
Very fair. Worked out for this price.
What this check cannot see
Assumes a Singapore citizen buying a first home until you add your details.
How PropGPT works out every line

Good to know (not judged)

Sales in the last 12 months · Fact
1 resale
More sales mean a clearer price and an easier sale later. Few sales make every figure here less certain.
Based on URA sales, Nov 2025 to Nov 2026
Completed · Fact
2000
Older buildings need more upkeep; very old ones may be en bloc candidates.
Show the calculationHide the calculation
The figures
From EdgeProp, checked 2026-10-22.
How PropGPT works out every line

PropGPT calculations from URA and data.gov.sg, updated 2 Nov 2026. PropGPT is not a licensed estate agency and does not act for buyers or sellers. These figures are not a valuation, a forecast or financial advice, and past results nearby do not predict future returns. How each line is worked out

What it costs

Estimates from what homes here actually sold for. URA records each home's size, not its bedrooms, so the bedroom count is a guess from floor area.

Size (bedrooms, a guess)	Typical size	Median price	Range	Sales
1-bedroom under 650 sq ft	538 sq ft	S$855K	S$855K	1 in 24 months
2-bedroom 650–999 sq ft	958 sq ft	S$1.53M	S$1.50M to S$1.56M	2 in 24 months
3-bedroom 1,000–1,399 sq ft	1,233 sq ft	S$1.86M	S$1.82M to S$1.91M	2 in 24 months

Asking prices now

No listings found on EdgeProp when PropGPT checked on 22 Oct 2026.

See current listings on EdgeProp, 99.co or PropertyGuru.

Stamp duty on S$855,000: S$20,250 (assumes a Singapore citizen buying a first home). A completed home: the full loan starts at once.

Recent sales

Every resale and sub-sale recorded by URA, newest first. URA gives floors as a range of five.

Month	Size	Floor	Price	PSF
May 2026	958 sq ft	01-05	S$1,560,000	S$1,628
Jul 2025	538 sq ft	01-05	S$855,000	S$1,589
Mar 2025	958 sq ft	01-05	S$1,500,000	S$1,566
Mar 2025	1,238 sq ft	01-05	S$1,908,000	S$1,541
Dec 2024	1,227 sq ft	01-05	S$1,820,000	S$1,483
Jul 2024	1,227 sq ft	01-05	S$1,768,000	S$1,441
Jun 2024	775 sq ft	01-05	S$1,240,000	S$1,600
May 2024	1,227 sq ft	01-05	S$1,810,000	S$1,475
Nov 2023	1,001 sq ft	01-05	S$1,590,000	S$1,588
May 2023	1,055 sq ft	01-05	S$1,680,000	S$1,592
Oct 2022	1,227 sq ft	01-05	S$1,780,000	S$1,451
Aug 2022	1,227 sq ft	01-05	S$1,610,000	S$1,312
Jun 2022	1,227 sq ft	01-05	S$1,488,000	S$1,213
May 2022	1,195 sq ft	01-05	S$1,750,000	S$1,464
Mar 2022	1,227 sq ft	01-05	S$1,580,000	S$1,288
Nov 2021	990 sq ft	01-05	S$1,400,000	S$1,414
Oct 2021	1,238 sq ft	01-05	S$1,505,000	S$1,216

Location

Nearest mrt station: Tanjong Katong MRT Station; 599 m · ~8 min walk
Nearest school: Tanjong Katong Girls' School; 323 m · ~5 min walk
Nearest park: Haig Walk (Geylang Rd-Dunman Rd); 550 m · ~7 min walk
Nearest supermarket: Angliss Singapore Pte Ltd; 89 m · ~2 min walk

Chelsea LodgeMRT stationSchoolParkSupermarket

URA gives one map point per condo. Open data from LTA, NParks, MOE and SFA (data.gov.sg). Map: OpenFreeMap, OpenStreetMap contributors.

What next?

Compare Chelsea Lodge with other condos in Find the best buys. Before you make an offer, view the unit and check the price against the recent sales above.

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