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

5 subsales grouped by size

Median
RM 310,000
PSF
RM 296
Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
Condo
RM 238,000
Level 8
886 sqft · RM 269 PSF
950 sqft
Condo
RM 258,000
Level 11
960 sqft · RM 269 PSF
1,000 sqft
Condo
RM 310,000
Level 17
1,009 sqft · RM 307 PSF
RM 350,000
Level 8
1,015 sqft · RM 345 PSF
1,150 sqft
Condo
RM 335,000
Level 17
1,132 sqft · RM 296 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 310,000

RM 296 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 5 subsale transactions in 2023, with a median price of RM 310K and a median price per square foot (PSF) of RM 296.

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 310K, with most transactions falling within a stable range of RM 267K to RM 350K, and a typical market range of RM 274K to RM 346K.

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

For price per square foot, the median is RM 296, with most transactions between RM 268 and RM 324. The usual range is RM 277.45 to RM 314.45, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 37.00 and an average deviation (MAD) of RM 28 indicate a highly stable PSF trend across properties.

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.