Century Suria Service Apartment

Kedah, Langkawi, Bandar Kuah

Property Transactions

14 subsales found

Median
RM 395,000
PSF
RM 365
Period
transactions middle 50% (P25–P75)
RM 350,000
Level 2
1,023 sqft RM 342 PSF
RM 420,000
Level 12
1,076 sqft RM 390 PSF
RM 380,000
Level 4
1,040 sqft RM 365 PSF
RM 415,000
Level 12
1,023 sqft RM 406 PSF
RM 390,000
Level 11
1,076 sqft RM 362 PSF
RM 440,000
Level 5
1,076 sqft RM 409 PSF
RM 400,000
Level 12
1,076 sqft RM 372 PSF
RM 450,000
Level 12
1,141 sqft RM 394 PSF
RM 400,000
Level 9
1,141 sqft RM 351 PSF
RM 450,000
Level 8
1,130 sqft RM 398 PSF
RM 360,000
Level 4
1,053 sqft RM 342 PSF
RM 360,000
Level 4
1,076 sqft RM 334 PSF
RM 350,000
Level 10
981 sqft RM 357 PSF
RM 360,000
Level 3
1,040 sqft RM 346 PSF
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Market Snapshot

Residential

RM 395,000

RM 364 psf

Median transaction price

Century Suria Service Apartment in Langkawi, Kedah recorded 14 subsale transactions between 2021 and 2026, with a median price of RM 395K and a median price per square foot (PSF) of RM 365.

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 395K, with most transactions falling within a stable range of RM 360K to RM 430K, and a typical market range of RM 366K to RM 424K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM 365, with most transactions between RM 344 and RM 387. The usual range is RM 342.40 to RM 388.15, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 45.75 and an average deviation (MAD) of RM 22 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. 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.