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Existing condo

Beauty World Centre

Upper Bukit Timah Road · Bukit Timah · District 21

: 99-year lease from 1979, about 52 years left · 80 homes

Recent sales, median
S$1,148
6 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

79out 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
PartMark
Price vs similar homes nearby25% of the scoreCosts 21% less than similar homes nearby; usually 3% less.100
Rental yield vs typical19% of the scoreRent of about 3.8% of the price a year; typical is 3.2%.96
Price vs other condos in the town13% of the score22% below the typical price of other condos in the town.100
Value lost to the lease in the next 10 years13% of the scoreAbout 52 years left: the lease takes about 7.8% off its value in the next 10 years.22
Nearby homes that beat the market13% of the score5 of 18 nearby projects beat the market.13
This condo's own prices vs the marketnot countedNot known yet.Not known
Distance to the MRT13% of the score101 m to the nearest station.100
Competing homes finishing nearby6% 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 5Neutral 0Watch out 2Not known yet 1

Am I paying a fair price?

  • Price vs similar resale homes nearby · In your favour

    Costs about 21% 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 cheaper than usual for the area.

    This condo
    S$1,148 psf
    Usual for a condo here
    S$1,415 psf
    Similar homes nearby
    S$1,453 psf

    Based on 36 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 6 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. Not included: HDB flats, landed homes, homes resold before completion (sub-sales), and this condo itself.

    The figures

    • This condo: S$1,148 psf, the median of its own 6 resales in the last 24 months.
    • Nearby resale: 6 of its 6 own sales are each compared with the median of nearby sales within 20% of its size, after the lease adjustment (36 nearby sales in all). The gap is the median of these per-sale gaps; S$1,453 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.
    • Building age is not adjusted: this condo's completion year is not known.
    • Gap: S$1,148 psf ÷ S$1,453 psf − 1 = −21%. 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 adjusted, each sale against homes of its own size; but neighbours differ in age, condition, size of development and facilities.

    What this check cannot see

    • 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.
    • 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 Timah · In your favour

    About 22% below the typical price of other existing condos in Bukit Timah

    Cheaper than most of the homes you are likely to compare it with.

    This condo
    S$1,148 psf
    Typical in Bukit Timah
    S$1,467 psf

    Based on 64 condos · a rough guide only

    Show the calculation

    What it compares

    Each of this condo's own resales (its own 6 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.

    The figures

    • This condo: S$1,148 psf
    • 6 of its 6 own sales are each compared with the median of sales of a similar size in 64 other existing condos in Bukit Timah. The gap is the median of these per-sale gaps; S$1,467 psf is the town price that gap implies.
    • Building age is not adjusted: this condo's completion year is not known.
    • 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 adjusted, each sale against homes of its own size; but ages and distances to the MRT differ within a town.

    What this check cannot see

    • 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

Can it earn or hold its value?

  • Rental yield · In your favour

    About 3.8% 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
    3.8%
    Typical for existing condos
    3.2%

    Based on 211 rental contracts, Q1 2026 to Q3 2026

    Show the calculation

    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$3.61 per sq ft a month, median of 211 contracts (URA, Q1 2026 to Q3 2026)
    • Yield = S$3.61 × 12 ÷ S$1,148 psf = 3.8%. 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 · Watch out

    99-year leasehold, about 52 years left

    Under 60 years left: CPF use and bank loans are limited when the lease does not cover the youngest buyer to age 95, so fewer buyers can buy it from you.

    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: 76% of freehold; in 10 years: 70%.
    • 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 · Watch out

    5 of 18 nearby projects rose faster than the whole market

    Homes around here have done worse than the market in recent years. Past results do not guarantee future ones.

    Based on 18 nearby projects, sales from Oct 2021 · a rough guide only

    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.

    The figures

    • JARDIN (661 m): +17% from 2022-Q3 to 2026-Q3; market +16%
    • GARDENVISTA (663 m): +24% from 2022-Q1 to 2026-Q2; market +25%
    • HIGH OAK CONDOMINIUM (666 m): +23% from 2022-Q2 to 2026-Q2; market +21%
    • THE RAINTREE (689 m): +23% from 2022-Q2 to 2026-Q2; market +21%
    • DAINTREE RESIDENCE (692 m): +1% from 2023-Q1 to 2026-Q2; market +13%
    • MAYFAIR MODERN (770 m): +5% from 2022-Q2 to 2026-Q2; 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 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 · In your favour

    101 m to Beauty World MRT 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: Toh Guan (planned), 3,794 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$74,600 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$2.10M: S$74,600 (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

    Not known yet

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

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
4-bedroom 1,400–1,899 sq ft1,873 sq ftS$2.10MS$2.05M to S$2.28M5 in 24 months
5+-bedroom 1,900 sq ft or more1,970 sq ftS$2.34MS$2.34M1 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$2,100,000: S$74,600 (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
May 20261,873 sq ft11-15S$2,050,000S$1,095
Oct 20251,873 sq ft16-20S$2,200,000S$1,175
Apr 20251,970 sq ft26-30S$2,338,000S$1,187
Apr 20251,873 sq ft11-15S$2,280,000S$1,217
Apr 20251,873 sq ft06-10S$2,100,000S$1,121
Feb 20251,873 sq ft16-20S$2,100,000S$1,121
Nov 20241,873 sq ft11-15S$2,120,000S$1,132
Oct 20241,873 sq ft11-15S$2,075,000S$1,108
Dec 20231,873 sq ft06-10S$1,990,000S$1,062
Jun 20221,970 sq ft21-25S$1,960,000S$995
Apr 20221,873 sq ft21-25S$1,910,000S$1,020
Feb 20221,873 sq ft11-15S$1,900,000S$1,014
Feb 20221,873 sq ft06-10S$1,780,000S$950

Location

Nearest mrt station
Beauty World MRT Station
101 m · ~2 min walk
Nearest school
Pei Hwa Presbyterian Primary School
487 m · ~7 min walk
Nearest park
Railway Corridor Rifle Range Connector
330 m · ~5 min walk
Nearest supermarket
Cold Storage Singapore (1983) Pte Ltd (Beauty World Centre)
0 m · ~0 min walk
Beauty World CentreMRT 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 Beauty World Centre 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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