All launches

The LakeGarden Residences

, Jurong East, West · 99-year leasehold · Launched

From
S$1.03M
Lowest
S$1,969calculated

Images from the developer, usually artist's impressions. The finished project may differ.

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Ready ()
2027
Nearest MRT or LRT
1.0 km · ~14 min walkcalculated
so far
305 of 306 (99.7%)
Recent sales, median
S$2,237 psfcalculated
, median
S$1,560 psfcalculated
99-year leasehold
Developer
Winville Investment Pte Ltd
Launched
5 Aug 2023

Nearest station in service: Lakeside MRT Station. Distances are straight-line; walking routes are longer.

Is it worth buying?

PropGPT financial score

57out of 100

Fair case on the numbers

Confidence: high, most figures known (90% 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 nearby21% of the scoreCosts 16% more than similar older homes nearby; usually 17% more.59
Rental yield vs typical16% of the scoreRent of about 2.6% of the price a year; typical is 2.4%.68
Price vs other new launches nearbynot countedNot known yet.Not known
Price vs launches in the region11% of the score4% below the typical price of launches in the region.65
Price vs the developer's likely breakeven11% of the scorePriced at 1.28 times the developer's likely cost.43
Value lost to the lease in the next 10 years11% of the scoreAbout 96 years left: the lease takes about 2.5% off its value in the next 10 years.75
Nearby homes that beat the market11% of the score5 of 11 nearby projects beat the market.42
Distance to the MRT11% of the score1,041 m to the nearest station.18
Competing homes finishing nearby5% of the scoreNo competing homes finishing nearby around the same time.100
Developer's track record5% of the scoreNo problems reported, but few completed projects.50

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 1Neutral 7Watch out 1Not known yet 1

Am I paying a fair price?

  • Price vs similar resale homes nearby · Neutral

    Costs about 16% more than similar older homes nearby

    New launches usually cost about 17% more than the older homes around them (the middle figure of the 64 launches selling now). This one is close to usual.

    This launch
    S$2,237 psf
    Usual for a launch here
    S$2,272 psf
    Similar homes nearby
    S$1,934 psf

    Based on 211 resales, Nov 2025 to Nov 2026 · a rough guide only

    Show the calculation

    What it compares

    This project's median price per sq ft (its own new sales in the last 12 months) against resale condos and apartments within 1.5 km, sold Nov 2025 to Nov 2026, 393–2,712 sq ft (this project's sizes, widened 20% each way). Each resale price is scaled to this project's lease, and to its building age (a new building, expected TOP 2027) where the resale's completion year is known. Not included: HDB flats, landed homes, homes resold before completion (sub-sales), and this project itself.

    The figures

    • This project: S$2,237 psf, the median of its own new sales in the last 12 months.
    • Nearby resale: S$1,934 psf, the median of 211 sales after the lease adjustment.
    • 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: 190 of 211 nearby sales are also scaled to this project's age (a new building, expected TOP 2027), 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 21 have no known completion year and are not age-adjusted.
    • Gap: S$2,237 psf ÷ S$1,934 psf − 1 = +16%. Usual gap (the middle of 64 launches selling now): +17%. 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. Older homes against a new launch. Lease and size range are matched, building age is adjusted at an average rate; the premium for a brand-new home, condition, floor and facilities are not. That is why the line compares the gap with the usual gap for launches rather than with zero.

    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, facing and unit mix are not adjusted. A project 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 new launches nearby · Not known yet

    Not known yet

    Fewer than 10 new-launch sales of similar size in other projects within 1.5 km in the last 12 months.

    Show the calculation

    What it compares

    This project's median price per sq ft against new-launch sales in other projects within 1.5 km over the last 12 months, same size range (393–2,712 sq ft).

    How PropGPT works out every line

  • Price vs launches in this region · Neutral

    About 4% below the typical price of other launches selling now in this region

    Priced like most of the homes you are likely to compare it with.

    This launch
    S$2,237 psf
    Typical launch in the region
    S$2,340 psf

    Based on 8 launches · a rough guide only

    Show the calculation

    What it compares

    This project's price per sq ft against the median of other new launches selling now in the same URA region (Central, East, North, North-East or West).

    The figures

    • This project: S$2,237 psf
    • Median of 8 other launches selling now in this region: S$2,340 psf
    • 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 region or type only: a region mixes places near and far from the city, and each launch's land cost differs.

    What this check cannot see

    • Region medians mix very different locations: Orchard and Toa Payoh are both in the Central region.
    • Unit sizes are not matched: small units cost more per sq ft, so a project of mostly small units looks dearer.

    How PropGPT works out every line

  • Land cost vs launch price · Neutral

    Priced at about 1.28 times the developer's likely cost

    A usual margin over what the project likely cost the developer.

    This launch
    S$2,237 psf
    Developer's likely cost
    S$1,750 psf

    Based on the land price from PropGPT research, 21 Oct 2026

    Show the calculation

    What it compares

    This project's price per sq ft against what the developer likely needs to break even: the land price per sq ft of allowed floor area (psf ppr) × 1.4.

    The figures

    • Land: S$1,250 per sq ft of plot ratio, collective (en bloc) sale in 2022
    • Likely breakeven: about S$1,750 psf (land × 1.4: land plus construction, financing and fees)
    • This project: S$2,237 psf; S$2,237 psf ÷ S$1,750 psf = 1.28. In your favour under 1.15; watch out at 1.3 or more.

    How fair is this comparison?

    Fair. This project's own land and price; only the cost of building is estimated.

    What this check cannot see

    • × 1.4 is a rule of thumb; consultants' estimates for a site differ, and construction costs rose sharply after 2021.
    • The land price may or may not include a lease top-up or development charge; the research notes say which when known.
    • Land bought years ago is cheaper in today's money, so older land makes the margin look bigger.

    How PropGPT works out every line

Can it earn or hold its value?

  • Rental yield · Neutral

    About 2.6% of the price a year in rent, before costs

    Close to the typical 2.4% for launches selling now.

    This launch
    2.6%
    Typical for launches selling now
    2.4%

    Based on 1,452 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 project's price per sq ft.

    The figures

    • Nearby rent: S$4.78 per sq ft a month, median of 1,452 contracts (URA, Q1 2026 to Q3 2026)
    • Yield = S$4.78 × 12 ÷ S$2,237 psf = 2.6%. 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 project, which is not finished yet.

    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.
    • New homes usually rent for more than the older homes nearby, so this may understate.

    How PropGPT works out every line

  • Lease · Neutral

    99-year leasehold

    A lease loses value slowly at first, then faster: about 96% of a freehold home's value when new, 91% with 80 years left, 80% with 60 years left.

    Based on URA's title record

    Show the calculation

    What it compares

    The title's tenure, as recorded by URA.

    The figures

    • 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 · Neutral

    5 of 11 nearby projects rose faster than the whole market

    Homes around here have moved roughly with the market.

    Based on 11 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

    • THE LAKEFRONT RESIDENCES (1,027 m): +29% from 2022-Q1 to 2026-Q2; market +25%
    • LAKEVILLE (1,040 m): +18% from 2022-Q2 to 2026-Q2; market +21%
    • LAKEPOINT CONDOMINIUM (1,049 m): −4% from 2022-Q4 to 2026-Q2; market +16%
    • CASPIAN (1,101 m): +30% from 2022-Q1 to 2026-Q2; market +25%
    • LAKE GRANDE (1,105 m): +21% from 2022-Q2 to 2026-Q2; market +21%
    • THE LAKESHORE (1,204 m): +27% from 2022-Q2 to 2026-Q1; 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

  • MRT · Watch out

    1,041 m to Lakeside MRT Station

    Over 1 km from a station; fewer buyers and tenants will consider it.

    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: Bukit Batok West (planned), 1,900 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 within 2 years of this project's completion (TOP).

    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

  • Developer's track record · Neutral

    no problems found in the news

    No problems found in the news, but few completed projects to judge by.

    Show the calculation

    What it compares

    Housing projects the developer has completed in Singapore, and delays, defects or disputes reported in established news in the last 10 years (PropGPT research).

    How fair is this comparison?

    Fair. The developer's other projects, not this one.

    What this check cannot see

    • Only problems reported in the news are found; many defects are settled quietly.
    • Joint ventures: a problem of one partner is listed even when the other partner led the project.

    How PropGPT works out every line

  • Cost to buy, hold and sell · Fact

    S$25,800 in stamp duty for the cheapest unit

    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$1.03M: S$25,800 (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.
    • Interest is paid only on the loan drawn so far; payments rise as the building goes up.

    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 so far · Fact

    99.7% sold in 39 months

    Fast sales show interest, but projects that sold fast have later made losses and slow sellers have made gains. Not a sign of profit.

  • Project size · Fact

    306 homes

    Big projects have more facilities but more owners selling against you at the same time.

  • Government land sales and big developments nearby · Fact

    None found by PropGPT research

    New land sales add competing homes; new stations, malls and offices add demand. Both are public, so prices may already include them.

  • Growth-area plans · Fact

    In the Jurong Lake District growth area

    Growth areas are planned for decades and are public, so prices often include them already.

    Based on PropGPT research, 21 Oct 2026

    Show the calculation

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 you would pay

For the cheapest 1BR + study at S$1,030,000. Estimates, not financial advice.

Monthly loan payment
S$3,257
Cash and CPF needed upfront
S$286,300at least S$51,500 of it in cash
S$25,800
S$0

PropGPT calculation: at 3.0% over 30 years; upfront = price − loan + stamp duties + about S$3,000 legal fees. Banks require at least 5% of the price in cash; the rest can come from CPF. Stamp duty assumes a Singapore citizen buying a first home. Add your details for your own figures. You can change the loan assumptions in Compare.

Unit types and prices

As published by the developer or reported in the press. Availability changes daily; confirm with the developer.

  • 1BRnot published

    491 to 552 sq ftnot published psf

  • 1BR + studyfrom S$1,030,000

    523 to 635 sq ftS$1,969 psf

  • 2BRnot published

    588 to 897 sq ftnot published psf

  • 2BR + studynot published

    777 to 942 sq ftnot published psf

  • 3BRnot published

    908 to 1,189 sq ftnot published psf

  • 3BR + studynot published

    1,085 to 2,025 sq ftnot published psf

  • 4BRnot published

    1,286 to 2,238 sq ftnot published psf

  • 5BRnot published

    1,550 sq ftnot published psf

  • 5BR + studynot published

    2,260 sq ftnot published psf

Price per square foot of actual sales, by month

URA caveats lodged for new sales; median per month calculated by PropGPT. Months with no sales are left out.

Nearby homes and what they sold for

Private condos and apartments within 1.5 km sold in the last 12 months (URA). Use this to judge whether the price is high or low for the area.

10 nearby projects, median from S$842 to S$1,927. Show the list
ProjectDistanceTenureMedian PSFTypical sizeSales
THE LAKEFRONT RESIDENCES1,027 m99-year from 2010S$1,7961,001 sq ft15
LAKEVILLE1,040 m99-year from 2013S$1,846969 sq ft27
LAKEPOINT CONDOMINIUM1,049 m99-year from 1983S$8422,051 sq ft12
CASPIAN1,101 m99-year from 2008S$1,6201,302 sq ft17
LAKE GRANDE1,105 m99-year from 2015S$1,927775 sq ft47
THE LAKESHORE1,204 m99-year from 2002S$1,5031,109 sq ft28
LAKEHOLMZ1,262 m99-year from 2001S$1,3531,410 sq ft6
PARC OASIS1,272 m99-year from 1991S$1,2311,227 sq ft22
IVORY HEIGHTS1,366 m100-year from 1986S$1,0191,701 sq ft9
PARC VISTA1,382 m99-year from 1995S$1,1361,076 sq ft17

Location

Nearest MRT station
Lakeside MRT Station
1.0 km · ~14 min walk
Nearest school
Jurong Secondary School
667 m · ~9 min walk
Nearest park
Jlg: Lakeside Garden
280 m · ~4 min walk
Nearest supermarket
Ntuc Fairprice Co-Operative Ltd (#01-119/02-119)
512 m · ~7 min walk
The LakeGarden ResidencesMRT stationSchoolParkSupermarket

Open data from LTA, NParks, MOE and SFA (data.gov.sg), located with OneMap. Malls are not shown: no open dataset exists. Map: OpenFreeMap, OpenStreetMap contributors.

What next?

Add The LakeGarden Residences to Compare and put it next to two or three others, or go back to all launches. Before you commit, visit the showflat and confirm prices with the developer.

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