Find the best buys

Existing condo

Wembly Residences

Yio Chu Kang Road · Hougang · District 19

: Freehold · Completed 2011 (EdgeProp) · 33 homes

Recent sales, median
Too few sales
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

Not enough data to score: fewer than 4 in 10 of the figures are known.

Confidence: low, many figures missing (39% 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 nearbynot countedNot known yet.Not known
Rental yield vs typicalnot countedNot known yet.Not known
Price vs other condos in the townnot countedNot known yet.Not known
Value lost to the lease in the next 10 years29% of the scoreFreehold or 999-year: no lease running down.100
Nearby homes that beat the market29% of the score8 of 19 nearby projects beat the market.37
This condo's own prices vs the marketnot countedNot known yet.Not known
Distance to the MRT29% of the score731 m to the nearest station.52
Competing homes finishing nearby14% of the score916 competing homes finishing nearby around the same time.54

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 3Watch out 0Not known yet 4

Am I paying a fair price?

  • Price vs similar resale homes nearby · Not known yet

    Not known yet

    Fewer than 10 similar resale condos sold within 1.5 km in the last 12 months, or no price is known yet.

    Show the calculation

    What it compares

    This condo's median price per sq ft (its own sales) against resale condos and apartments within 1.5 km, sold in the last 12 months, any size. 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.

    How PropGPT works out every line

  • Price vs other existing condos in Hougang · 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 resales) against other existing condos 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 · Not known yet

    Not known yet

    Fewer than 10 rental contracts for similar homes within 1.5 km in the last year.

    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.

    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 · Neutral

    8 of 19 nearby projects rose faster than the whole market

    Homes around here have moved roughly with the market.

    Based on 19 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

    • CASA CAMBIO (274 m): +14% from 2022-Q1 to 2026-Q3; market +25%
    • FOREST WOODS (576 m): +21% from 2022-Q1 to 2026-Q2; market +25%
    • THE MINTON (825 m): +33% from 2022-Q1 to 2026-Q2; market +25%
    • KOVAN MELODY (903 m): +40% from 2022-Q2 to 2026-Q2; market +21%
    • SUNGLADE (1,040 m): +35% from 2022-Q1 to 2026-Q2; market +25%
    • BLISS@KOVAN (1,078 m): +10% from 2022-Q1 to 2026-Q3; market +25%
    • 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 · Neutral

    731 m to Serangoon MRT Station

    A walk of several minutes to the station.

    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: Serangoon North (planned), 1,577 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

    916 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 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$28,600 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$1.10M: S$28,600 (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

    2011

    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
4-bedroom 1,400–1,899 sq ft1,884 sq ftS$2.64MS$2.64M1 in 24 months

Asking prices now

  • 1-bedroomS$1.10M S$1,162 psf
  • 2-bedroomS$1.40M S$1,549 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$1,100,000: S$28,600 (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
Feb 20261,884 sq ft01-05S$2,640,000S$1,401
Aug 20241,109 sq ft01-05S$1,620,000S$1,461
Dec 20231,001 sq ft01-05S$1,340,000S$1,339
Apr 20231,324 sq ft01-05S$1,559,000S$1,177
Sept 20221,884 sq ft01-05S$2,230,000S$1,184

Location

Nearest mrt station
Serangoon MRT Station
731 m · ~10 min walk
Nearest school
Peicai Secondary School
787 m · ~10 min walk
Nearest park
Boundary Road Park
336 m · ~5 min walk
Nearest supermarket
Thong Chew Food Industries Pte Ltd
53 m · ~1 min walk
Wembly ResidencesMRT 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 Wembly Residences 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.

Sign in to start buying a home hereEvery step from the option to purchase to completion, with deadlines and amounts. You do not need an agent of your own.