All launches

The Hillshore

, Queenstown, West · Freehold · Launched

From
S$1.77M
Lowest
S$2,284calculated

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

Want to see how this project fits you? Rank the launches by your budget, size, area and MRT distance, then open it from the list.

Ready ()
2026
Nearest MRT or LRT
459 m · ~6 min walkcalculated
so far
12 of 59 (20.3%)
Recent sales, median
S$2,315 psfcalculated
, median
S$1,930 psfcalculated
Freehold
Developer
Hillside View Development Pte Ltd
Launched
Not available

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

Is it worth buying?

PropGPT financial score

84out of 100

Strong case on the numbers

Confidence: medium, some figures missing (71% 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 nearby27% of the scoreCosts 8% more than similar older homes nearby; usually 17% more.95
Rental yield vs typical20% of the scoreRent of about 2.9% of the price a year; typical is 2.4%.93
Price vs other new launches nearbynot countedNot known yet.Not known
Price vs launches in the region13% of the score1% above the typical price of launches in the region.48
Price vs the developer's likely breakevennot countedNot known yet.Not known
Value lost to the lease in the next 10 years13% of the scoreFreehold or 999-year: no lease running down.100
Nearby homes that beat the marketnot countedNot known yet.Not known
Distance to the MRT13% of the score459 m to the nearest station.82
Competing homes finishing nearby7% of the score343 competing homes finishing nearby around the same time.83
Developer's track record7% 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 4Neutral 3Watch out 0Not known yet 3

Am I paying a fair price?

  • Price vs similar resale homes nearby · In your favour

    Costs about 8% 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's extra is smaller than usual, so less of your price is a new-home premium.

    This launch
    S$2,315 psf
    Usual for a launch here
    S$2,509 psf
    Similar homes nearby
    S$2,136 psf

    Based on 133 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, 594–2,622 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 2026) 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$2,315 psf, the median of its own new sales in the last 12 months.
    • Nearby resale: S$2,136 psf, the median of 133 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: 132 of 133 nearby sales are also scaled to this project's age (a new building, expected TOP 2026), 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 1 have no known completion year and are not age-adjusted.
    • Gap: S$2,315 psf ÷ S$2,136 psf − 1 = +8%. 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 (594–2,622 sq ft).

    How PropGPT works out every line

  • Price vs launches in this region · Neutral

    About 1% above 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$2,315 psf
    Typical launch in the region
    S$2,301 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$2,315 psf
    • Median of 8 other launches selling now in this region: S$2,301 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 · Not known yet

    Not known yet

    PropGPT has not found what the developer paid for the land yet.

    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.

    How PropGPT works out every line

Can it earn or hold its value?

  • Rental yield · In your favour

    About 2.9% of the price a year in rent, before costs

    More than the typical 2.4% for launches selling now, so rent would cover more of your costs if you let it out.

    This launch
    2.9%
    Typical for launches selling now
    2.4%

    Based on 995 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$5.53 per sq ft a month, median of 995 contracts (URA, Q1 2026 to Q3 2026)
    • Yield = S$5.53 × 12 ÷ S$2,315 psf = 2.9%. 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 · 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

    Show the calculation

    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 · 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

  • MRT · In your favour

    459 m to Haw Par Villa 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: Pandan Reservoir (planned), 5,438 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

    343 homes in 1 other project within 1.5 km due 2024–2028

    Some competing new homes nearby, fewer than 1,000.

    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$58,000 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$1.77M: S$58,000 (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

    20.3% sold

    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

    59 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

    Overlooks the Greater Southern Waterfront, according to the developer

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

    Based on PropGPT research, 22 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 2 Bedroom at S$1,768,000. Estimates, not financial advice.

Monthly loan payment
S$5,590
Cash and CPF needed upfront
S$503,000at least S$88,400 of it in cash
S$58,000
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.

  • 2 Bedroomfrom S$1,768,000

    743 sq ftS$2,380 psf

  • 2 Bedroom Penthousefrom S$2,165,000

    904 to 915 sq ftS$2,395 psf

  • 2 Bedroom Premiumfrom S$1,868,000

    818 to 850 sq ftS$2,284 psf

  • 2 Bedroom Premium Penthousefrom S$2,295,000

    990 to 1,033 sq ftS$2,318 psf

  • 3 Bedroomfrom S$2,588,000

    1,055 to 1,109 sq ftS$2,453 psf

  • 3 Bedroom Penthousefrom S$3,358,000

    1,442 sq ftS$2,329 psf

  • 3 Bedroom Premiumfrom S$2,730,000

    1,087 sq ftS$2,511 psf

  • 4 Bedroom Dual Keyfrom S$3,880,000

    1,475 sq ftS$2,631 psf

  • 4 Bedroom Penthousefrom S$3,968,000

    1,647 to 1,776 sq ftS$2,409 psf

  • 4 Bedroom Premium Penthouse Dual Keyfrom S$5,188,000

    2,185 sq ftS$2,374 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$1,423 to S$1,967. Show the list
ProjectDistanceTenureMedian PSFTypical sizeSales
THE ESTIVA235 mFreeholdS$1,4431,733 sq ft1
PARC REGENCY291 mFreeholdS$1,5381,658 sq ft1
WHITEHAVEN455 mFreeholdS$1,6581,104 sq ft4
LUXE VILLE486 mFreeholdS$1,5521,345 sq ft3
PALM MANSIONS509 mFreeholdS$1,423980 sq ft1
SEASUITES584 mFreeholdS$1,967549 sq ft1
MURANO588 mFreeholdS$1,4961,066 sq ft1
THE PEAK@BALMEG628 mFreeholdS$1,8051,507 sq ft3
LE HILL CONDOMINIUM641 mFreeholdS$1,5061,281 sq ft5
HORIZON RESIDENCES682 mFreeholdS$1,8301,400 sq ft2

Location

Nearest MRT station
Haw Par Villa MRT Station
459 m · ~6 min walk
Nearest park
Pasir Panjang Park
983 m · ~13 min walk
Nearest supermarket
Ntuc Fairprice Co-Operative Ltd (One@Kentridge)
906 m · ~12 min walk
The HillshoreMRT 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 Hillshore 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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