Winner Heights

Taman Desa Petaling, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM270,000
PSF
RM305
Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Condo
RM228,000
Level 6
800 sqft · RM285 PSF
RM230,000
Level 4
800 sqft · RM288 PSF
RM300,000
Level 8
800 sqft · RM375 PSF
900 sqft
Condo
RM270,000
Level 7
886 sqft · RM305 PSF
RM270,000
Level 15
886 sqft · RM305 PSF
950 sqft
Condo
RM320,000
Level 14
960 sqft · RM333 PSF
1,000 sqft
Condo
RM280,000
Level 7
988 sqft · RM283 PSF
Legend Recent Highest Price Highest PSF

Selling in Winner Heights? Homes here sold for a median of RM270,000.

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Market Snapshot

Residential

RM270,000

RM305 psf

Median transaction price

Winner Heights (Taman Desa Petaling)
© OpenStreetMap · CARTO

Winner Heights, Taman Desa Petaling, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Winner Heights in Kuala Lumpur, Kuala Lumpur recorded 7 subsale transactions in 2022, with a median price of RM270K and a median price per square foot (PSF) of RM305.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM270K, with most transactions falling within a stable range of RM239K to RM301K, and a typical market range of RM234K to RM306K.

Most transactions involved condominium/apartment, with minimal variety in property types.

The median PSF stands at RM305, with core pricing between RM274 and RM336. Market pricing typically extends from RM286.25 to RM323.25, reflecting moderate variation in unit pricing. With an IQR of RM37.00 and MAD of RM31, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.