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Existing executive condominium

Chestervale

Bangkit Road · Bukit Panjang · District 23

: 99-year lease from 1997, about 70 years left · Completed 1999 (EdgeProp) · 396 homes

Recent sales, median
S$1,000
5 sales in 12 months
Sales in 12 months
5

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

70out of 100

Strong case on the numbers

Confidence: high, most figures known (78% 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
PartMark
Price vs similar homes nearby29% of the scoreCosts 3% less than similar homes nearby; usually 3% less.53
Rental yield vs typical21% of the scoreRent of about 4.1% of the price a year; typical is 3.2%.100
Price vs other condos in the townnot countedNot known yet.Not known
Value lost to the lease in the next 10 years14% of the scoreAbout 70 years left: the lease takes about 7.0% off its value in the next 10 years.30
Nearby homes that beat the marketnot countedNot known yet.Not known
This condo's own prices vs the market14% of the scoreIts prices moved +23%; the whole market moved +21%.55
Distance to the MRT14% of the score259 m to the nearest station.100
Competing homes finishing nearby7% of the scoreNo competing homes finishing nearby around the same time.100

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 3Neutral 3Watch out 0Not known yet 2

Am I paying a fair price?

  • Price vs similar resale homes nearby · Neutral

    Costs about 3% less than similar homes nearby

    Condos usually sell for about 3% less than similar homes nearby (the middle figure of 1,298 existing condos PropGPT checked). This one is close to usual.

    This condo
    S$1,000 psf
    Usual for a condo here
    S$1,005 psf
    Similar homes nearby
    S$1,032 psf

    Based on 10 resales, Nov 2025 to Nov 2026 · a rough guide only

    Show the calculation

    What it compares

    Each of this condo's own resales (its own 5 resales in the last 12 months) against resale ECs 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 1999) 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$1,000 psf, the median of its own 5 resales in the last 12 months.
    • Nearby resale: 3 of its 5 own sales are each compared with the median of nearby sales within 20% of its size, after the lease adjustment (10 nearby sales in all). The gap is the median of these per-sale gaps; S$1,032 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: 10 of 10 nearby sales are also scaled to this condo's age (completed 1999), 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.
    • Gap: S$1,000 psf ÷ S$1,032 psf − 1 = −3%. Usual gap (the middle of 1,298 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 Bukit Panjang · Not known yet

    Not known yet

    Fewer than 5 others to compare with.

    Show the calculation

    What it compares

    This condo's median price per sq ft (its own 5 resales in the last 12 months) against other existing ECs in the same town (URA planning area) with resales in the same period, each scaled to this condo's lease.

    How PropGPT works out every line

Can it earn or hold its value?

  • Rental yield · In your favour

    About 4.1% 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
    4.1%
    Typical for existing condos
    3.2%

    Based on 11 rental contracts, Q1 2026 to Q3 2026

    Show the calculation

    What it compares

    Rents of ECs 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$3.44 per sq ft a month, median of 11 contracts (URA, Q1 2026 to Q3 2026)
    • Yield = S$3.44 × 12 ÷ S$1,000 psf = 4.1%. 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 · Neutral

    99-year leasehold, about 70 years left

    Worth about 86% of a freehold home now and about 80% in 10 years (SLA leasehold table).

    Based on URA's title record

    Show the calculation

    What it compares

    Years left on the lease, from URA's lease start year.

    The figures

    • Lease value now: 86% of freehold; in 10 years: 80%.
    • SLA leasehold table (Bala's Table).

    How fair is this comparison?

    Very fair. A fact about this home.

    What this check cannot see

    • Bala's Table describes land value; what buyers pay for old leases does not follow it exactly.

    How PropGPT works out every line

  • How nearby homes' prices moved · Not known yet

    Not known yet

    Fewer than 3 nearby projects have enough sales two or more years apart to compare.

    Show the calculation

    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.

    How PropGPT works out every line

  • How this condo's prices moved · Neutral

    Prices moved +23% from 2022-Q2 to 2026-Q3; the whole market moved +21%

    It has moved roughly with the market.

    Based on 16 early and 5 recent sales

    Show 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.

    The figures

    • +23% against the market's +21%.
    • In your favour when 5 percentage points or more ahead of the market; watch out when 5 or more behind.

    How fair is this comparison?

    Fair. The same condo at two times, but not the same units: the mix of sizes and floors sold differs.

    What this check cannot see

    • A short period: from late 2021 at the earliest.
    • As the lease runs down, a leasehold condo is expected to lag freehold homes in the index.
    • Past price moves do not predict future ones.

    How PropGPT works out every line

  • MRT · In your favour

    259 m to Bangkit LRT Station

    Within an easy walk; homes near stations are in steady demand from buyers and tenants.

    Based on LTA station exits and URA Master Plan 2019, worked out 4 Nov 2026

    Show the calculation

    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: Jelepang (planned), 1,426 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 · In your favour

    No other unfinished projects within 1.5 km due around the same time

    No competition from other new homes when you want to rent out or sell.

    Based on URA's list of projects not yet completed, worked out 4 Nov 2026

    Show the calculation

    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$34,960 in stamp duty for the estimated price

    Profit only starts after these costs are covered.

    Based on today's IRAS stamp duty rates

    Show the calculation

    What it compares

    Stamp duties under the current IRAS rates for the price shown.

    The figures

    • Stamp duty on S$1.26M: S$34,960 (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

    5 resales

    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

    1999

    Older buildings need more upkeep; very old ones may be en bloc candidates.

    Show 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 3 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 sizeMedian priceRangeSales
3-bedroom 1,000–1,399 sq ft1,259 sq ftS$1.26MS$1.24M to S$1.31M3 in 12 months
4-bedroom 1,400–1,899 sq ft1,421 sq ftS$1.42MS$1.34M to S$1.51M2 in 12 months

Asking prices now

  • 3-bedroomS$1.30M S$1,031 psf
  • 3-bedroomS$1.50M S$1,097 psf
  • 3-bedroomS$1.55M S$1,082 psf
  • 3-bedroomS$1.60M S$1,067 psf
  • 3-bedroomS$1.68M S$1,062 psf
  • 3-bedroomS$1.70M S$1,179 psf
  • 3-bedroomS$1.80M S$1,220 psf

A sample of listings on EdgeProp, checked 2026-10-22. Asking prices are what sellers hope for; homes usually sell for less. Listings may have sold since.

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

Stamp duty on S$1,259,000: S$34,960 (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.

MonthSizeFloorPricePSF
Sept 20261,259 sq ft01-05S$1,259,000S$1,000
Aug 20261,410 sq ft01-05S$1,510,000S$1,071
Jul 20261,432 sq ft01-05S$1,336,000S$933
Mar 20261,259 sq ft06-10S$1,240,000S$985
Jan 20261,259 sq ft06-10S$1,310,000S$1,041
Sept 20251,399 sq ft06-10S$1,520,000S$1,086
Aug 20251,410 sq ft06-10S$1,410,000S$1,000
Jul 20251,410 sq ft11-15S$1,518,888S$1,077
Jun 20251,259 sq ft11-15S$1,300,000S$1,033
Jun 20251,259 sq ft06-10S$1,250,000S$993
May 20251,432 sq ft01-05S$1,380,000S$964
Apr 20251,259 sq ft11-15S$1,280,000S$1,017
Mar 20251,410 sq ft06-10S$1,530,000S$1,085
Feb 20251,432 sq ft06-10S$1,500,000S$1,047
Jan 20251,410 sq ft16-20S$1,500,000S$1,064
Nov 20241,432 sq ft11-15S$1,430,000S$999
Sept 20241,410 sq ft01-05S$1,158,000S$821
Aug 20241,259 sq ft01-05S$1,250,000S$993
Jun 20241,259 sq ft11-15S$1,200,000S$953
May 20241,259 sq ft01-05S$1,240,000S$985

Location

Nearest mrt station
Bangkit LRT Station
259 m · ~4 min walk
Nearest school
Beacon Primary School
568 m · ~8 min walk
Nearest park
Chestnut Nature Park
571 m · ~8 min walk
Nearest supermarket
Cold Storage Singapore (1983) Pte Ltd
193 m · ~3 min walk
ChestervaleMRT 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 Chestervale 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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