| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM 360,000
|
RM 276
|
1,302 sqft
|
|
|
|
Level 2
|
RM 368,000
|
RM 280
|
1,313 sqft
|
|
|
|
Level 3
|
RM 360,000
|
RM 276
|
1,302 sqft
|
|
|
|
Level 3
|
RM 340,000
|
RM 261
|
1,302 sqft
|
|
|
|
Level 3
|
RM 363,000
|
RM 279
|
1,302 sqft
|
|
|
|
Level 4
|
RM 410,000
|
RM 315
|
1,302 sqft
|
|
|
|
Level 2
|
RM 350,000
|
RM 267
|
1,313 sqft
|
|
|
|
Level 2
|
RM 305,000
|
RM 232
|
1,313 sqft
|
|
|
Level 1
|
RM 395,000
|
RM 294
|
1,345 sqft
|
|
|
|
Level 1
|
RM 350,000
|
RM 260
|
1,345 sqft
|
|
|
Level 1
|
RM 600,000
|
RM 319
|
1,884 sqft
|
|
|
|
Level 1
|
RM 670,000
|
RM 356
|
1,884 sqft
|
|
|
|
Level 1
|
RM 535,000
|
RM 282
|
1,894 sqft
|
|
|
|
Level 1
|
RM 530,000
|
RM 281
|
1,884 sqft
|
|
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Market Snapshot
ResidentialRM 368,000
RM 279 psfMedian transaction price
CHOGM VILLA, Kampung Bendang Baru, Bandar Kuah, Langkawi, Kedah, Malaysia
Chogm Villa in Langkawi, Kedah recorded 15 subsale transactions between 2021 and 2026, with a median price of RM 368K and a median price per square foot (PSF) of RM 280.
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 368K, with most transactions falling within a stable range of RM 340K to RM 396K, and a typical market range of RM 305K to RM 438K.
Most transactions involved town house, with minimal variety in property types.
For price per square foot, the median is RM 280, with most transactions between RM 265 and RM 295. The usual range is RM 268.23 to RM 292.23, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 24.00 and an average deviation (MAD) of RM 15 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.