West Court (Taman Sri Sentosa)

Ground Floor, Lot G1-G3 Wisma West Court No. 126, Jalan, Jln Klang Lama, 58000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales found

Median
RM152,500
PSF
RM189

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
RM160,000
Level 2
807 sqft RM198 PSF
RM155,000
Level 2
807 sqft RM192 PSF
RM140,000
Level 3
829 sqft RM169 PSF
RM150,000
Level 3
807 sqft RM186 PSF
Legend Recent Highest Price Highest PSF

Selling in West Court (Taman Sri Sentosa)? Homes here sold for a median of RM152,500.

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Market Snapshot

Residential

RM152,500

RM189 psf

Median transaction price

West Court (Taman Sri Sentosa)
© OpenStreetMap · CARTO

Ground Floor, Lot G1-G3 Wisma West Court No. 126, Jalan, Jln Klang Lama, 58000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

West Court (Taman Sri Sentosa) in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2022, with a median price of RM153K and a median price per square foot (PSF) of RM189.

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 RM153K, with most transactions falling within a stable range of RM145K to RM160K, and a typical market range of RM140K to RM160K.

Most transactions involved flats, though some variety exists in the market.

For price per square foot, the median is RM189, with most transactions between RM178 and RM200. The usual range is RM165.90 to RM211.90, showing that most units are priced quite close to each other. A typical spread (IQR) of RM46.00 and an average deviation (MAD) of RM11 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.