Taman Nilam

Kedah, Langkawi, Bandar Kuah

Property Transactions

7 subsales grouped by size · Terrace →

Median
RM 145,000
PSF
RM 91
Price Size
Period
transactions middle 50% (P25–P75)
1,450 sqft
Terrace
RM 145,000
Jalan Nilam 25, Persiaran Nilam 2
1,442 sqft · RM 101 PSF
RM 145,000
Jalan Nilam 22, Persiaran Nilam 2
1,442 sqft · RM 101 PSF
1,800 sqft
Terrace
RM 155,000
Jalan Nilam 21, Persiaran Nilam 2
1,776 sqft · RM 87 PSF
RM 265,000
Jalan Nilam 19
1,776 sqft · RM 149 PSF
RM 140,000
Off Jalan Ayer Hangat
1,776 sqft · RM 79 PSF
1,850 sqft
Terrace
RM 138,000
Jalan Nilam 24, Persiaran Nilam 2
1,851 sqft · RM 75 PSF
2,000 sqft
Terrace
RM 180,000
Jalan Nilam 17
1,981 sqft · RM 91 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 145,000

RM 91 psf

Median transaction price

Taman Nilam
© OpenStreetMap · CARTO

Taman Nilam, Langkawi, Kedah

Taman Nilam in Langkawi, Kedah recorded 7 subsale transactions in 2025, with a median price of RM 145K and a median price per square foot (PSF) of RM 91.

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 145K, with most transactions falling within a stable range of RM 138K to RM 187K, and a typical market range of RM 138K to RM 170K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM 91, though individual units vary from RM 68 to RM 114 in the core range. The broader market spans RM 80.38 to RM 101.38, indicating diverse property characteristics. A wider spread (IQR: RM 21.00) and deviation (MAD: RM 23) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.