Taman Andalas Jaya (P/L1384)

Taman Andalas Jaya, 41000 Klang, Selangor, Malaysia

Property Transactions

7 subsales found

Median
RM587,000
PSF
RM368
Price Size
Period
transactions middle 50% (P25–P75)
RM712,000
P/L 6212&6213
1,615 sqft RM441 PSF
RM582,000
Jalan Seri Tanjung 5/Ks02
1,615 sqft RM360 PSF
RM587,000
Lorong Seri Damak 27E/Ks02
1,593 sqft RM368 PSF
RM626,000
Jalan Seri Tanjung 5/Ks02
1,615 sqft RM388 PSF
RM582,000
Jalan Seri Tanjung 5/Ks02
1,615 sqft RM360 PSF
RM626,000
Jalan Seri Tanjung 5/Ks02
1,615 sqft RM388 PSF
RM575,000
Lorong Seri Damak 27E/Ks02
1,615 sqft RM356 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM587,000

RM368 psf

Median transaction price

Taman Andalas Jaya (P/L1384)
© OpenStreetMap · CARTO

Taman Andalas Jaya, 41000 Klang, Selangor, Malaysia

Maps

Taman Andalas Jaya (P/L1384) in Klang, Selangor recorded 7 subsale transactions between 2021 and 2026, sized between 1,575 and 1,624 sqft, with a median price of RM587K and a median price per square foot (PSF) of RM368.

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 RM587K, with most transactions falling within a stable range of RM575K to RM632K, and a typical market range of RM575K to RM608K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM368, with most transactions between RM341 and RM396. The usual range is RM331.22 to RM405.72, showing that most units are priced quite close to each other. With an IQR of RM74.50 and MAD of RM28, 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.