Winner Heights

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

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 270,000
PSF
RM 305
Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Condo
RM 228,000
Level 6
800 sqft · RM 285 PSF
RM 230,000
Level 4
800 sqft · RM 288 PSF
RM 300,000
Level 8
800 sqft · RM 375 PSF
900 sqft
Condo
RM 270,000
Level 7
886 sqft · RM 305 PSF
RM 270,000
Level 15
886 sqft · RM 305 PSF
950 sqft
Condo
RM 320,000
Level 14
960 sqft · RM 333 PSF
1,000 sqft
Condo
RM 280,000
Level 7
988 sqft · RM 283 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 270,000

RM 305 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 RM 270K and a median price per square foot (PSF) of RM 305.

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 RM 270K, with most transactions falling within a stable range of RM 239K to RM 301K, and a typical market range of RM 234K to RM 306K.

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

The median PSF stands at RM 305, with core pricing between RM 274 and RM 336. Market pricing typically extends from RM 286.25 to RM 323.25, reflecting moderate variation in unit pricing. With an IQR of RM 37.00 and MAD of RM 31, 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.