Taman Bentara 16(P/L 4300)

Jln Merbuk Batu 9, Kampung Sungai Jarom, 41200 Jenjarom, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,550 sqft
Semi-D
RM521,000
Jalan Pipit
2,560 sqft · RM203 PSF
2,900 sqft
Semi-D
RM571,000
Jalan Pipit 5/44
2,906 sqft · RM196 PSF
2,950 sqft
Semi-D
RM573,000
Jalan Pipit 5/44
2,949 sqft · RM194 PSF
RM573,000
Jalan Pipit 5/44
2,949 sqft · RM194 PSF
RM573,000
Jalan Pipit 5/44
2,949 sqft · RM194 PSF
3,250 sqft
Semi-D
RM587,000
Jalan Pipit 5/44
3,272 sqft · RM179 PSF
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Market Snapshot

Residential

RM573,000

RM194 psf

Median transaction price

Taman Bentara 16(P/L 4300)
© OpenStreetMap · CARTO

Jln Merbuk Batu 9, Kampung Sungai Jarom, 41200 Jenjarom, Selangor, Malaysia

Maps

Taman Bentara 16(P/L 4300) in Kuala Langat, Selangor recorded 6 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM573K and a median price per square foot (PSF) of RM194.

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 RM573K, with most transactions falling within a stable range of RM552K to RM587K, and a typical market range of RM527K to RM587K.

Within the Single Storey Semi-D category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.

For price per square foot, the median is RM194, with most transactions between RM187 and RM201. The usual range is RM125.78 to RM262.78, showing that most units are priced quite close to each other. With an IQR of RM137.00 and MAD of RM7, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.