Taman Nilam

NO. 160,162, 164, Jalan Nilam, TAMAN NILAM, 42700 Banting, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,750 sqft
Semi-D
RM773,000
Jalan Nilam 2/15
3,746 sqft · RM206 PSF
3,800 sqft
Semi-D
RM860,000
Jalan Nilam 2/15
3,798 sqft · RM226 PSF
RM1,000,000
Jalan Nilam 2/15
3,797 sqft · RM263 PSF
4,100 sqft
Semi-D
RM735,000
Jalan Nilam 1/11
4,080 sqft · RM180 PSF
6,100 sqft
Semi-D
RM800,000
Jalan Nilam 1/11
6,092 sqft · RM131 PSF
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Market Snapshot

RM800,000

RM206 psf

Median transaction price

RM547,000

RM391 psf

Median transaction price

Taman Nilam
© OpenStreetMap · CARTO

NO. 160,162, 164, Jalan Nilam, TAMAN NILAM, 42700 Banting, Selangor, Malaysia

Maps

Taman Nilam in Kuala Langat, Selangor recorded 5 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM800K and a median price per square foot (PSF) of RM206.

This area contains both residential and commercial properties. View 21 residential properties or 9 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM800K, with most transactions falling within a stable range of RM735K to RM893K, and a typical market range of RM735K to RM877K.

Within the Double Storey Semi-D category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM206, though individual units vary from RM162 to RM251 in the core range. The broader market spans RM130.24 to RM282.49, indicating diverse property characteristics. The spread of RM152.25 (IQR) and deviation of RM44 (MAD) suggest moderate price variations reflecting different property features.

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.