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Existing condo

Regal 35

Lorong 35 Geylang · Geylang · District 14

: Freehold · Completed 2005 (EdgeProp) · 40 homes

Recent sales, median
S$986
3 sales in 12 months
Sales in 12 months
3

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

88out of 100

Strong case on the numbers

Confidence: medium, some figures missing (56% 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 typical30% of the scoreRent of about 5.0% 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 years20% of the scoreFreehold or 999-year: no lease running down.100
Nearby homes that beat the market20% of the score9 of 17 nearby projects beat the market.55
This condo's own prices vs the marketnot countedNot known yet.Not known
Distance to the MRT20% of the score427 m to the nearest station.86
Competing homes finishing nearby10% 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 4Neutral 1Watch out 0Not known yet 3

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 3 resales in the last 12 months) 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 Geylang · 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 3 resales in the last 12 months) 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 · In your favour

    About 5.0% 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
    5.0%
    Typical for existing condos
    3.2%

    Based on 1,599 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$4.12 per sq ft a month, median of 1,599 contracts (URA, Q1 2026 to Q3 2026)
    • Yield = S$4.12 × 12 ÷ S$986 psf = 5.0%. 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 · 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

    9 of 17 nearby projects rose faster than the whole market

    Homes around here have moved roughly with the market.

    Based on 17 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

    • REZI 35 (54 m): −1% from 2023-Q3 to 2026-Q3; market +11%
    • SIMSVILLE (145 m): +26% from 2022-Q2 to 2026-Q2; market +21%
    • TRE RESIDENCES (409 m): +20% from 2022-Q2 to 2026-Q2; market +21%
    • THE WATERINA (428 m): +31% from 2022-Q3 to 2026-Q3; market +16%
    • CENTRAL GROVE (442 m): +15% from 2022-Q2 to 2026-Q2; market +21%
    • THE ALCOVE (516 m): +24% 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

    427 m to Paya Lebar 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 2 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: Founders Memorial (planned), 3,505 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 2 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$33,800 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$1.23M: S$33,800 (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.
    • 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

    3 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

    2005

    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 2 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
2-bedroom 650–999 sq ft947 sq ftS$1.23MS$1.23M1 in 24 months
5+-bedroom 1,900 sq ft or more2,594 sq ftS$2.37MS$1.98M to S$2.75M2 in 12 months

Asking prices now

  • 2-bedroomS$1.30M S$1,419 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$1,230,000: S$33,800 (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 20262,788 sq ft06-10S$2,750,000S$986
Jul 20262,400 sq ft06-10S$1,980,000S$825
Mar 2026947 sq ft01-05S$1,230,000S$1,299
Nov 20241,195 sq ft06-10S$1,500,000S$1,255
Aug 20231,195 sq ft01-05S$1,500,000S$1,255
Apr 20231,249 sq ft01-05S$1,480,000S$1,185
Oct 2022915 sq ft01-05S$1,050,000S$1,148

Location

Nearest mrt station
Paya Lebar MRT Station
427 m · ~6 min walk
Nearest school
Kong Hwa School
520 m · ~7 min walk
Nearest park
Lorong 40 Geylang Pg
253 m · ~4 min walk
Nearest supermarket
Ntuc Fairprice Co-Operative Ltd
171 m · ~3 min walk
Regal 35MRT 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 Regal 35 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.