Taman Seroja (Mutiara)

Kedah, Langkawi, Bandar Kuah

Property Transactions

8 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,250 sqft
2-Sty Terrace
RM380,000
Jalan Ayer Hangat
1,249 sqft · RM304 PSF
1,400 sqft
2-Sty Terrace
RM380,000
Lorong Seroja 4
1,399 sqft · RM272 PSF
RM360,000
Lorong Seroja 3
1,399 sqft · RM257 PSF
2,150 sqft
Semi-D
RM500,000
Jalan Ayer Hangat
2,164 sqft · RM231 PSF
2,300 sqft
Semi-D
RM345,000
Lorong Seroja 5
2,314 sqft · RM149 PSF
2,500 sqft
Semi-D
RM400,000
Lorong Seroja 5
2,519 sqft · RM159 PSF
3,050 sqft
Semi-D
RM450,000
Lorong Seroja 5
3,035 sqft · RM148 PSF
3,400 sqft
2-Sty Shop
RM650,000
Jalan Ayer Hangat
3,401 sqft · RM191 PSF
Legend Recent Highest Price Highest PSF

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Taman Seroja (Mutiara) in Langkawi, Kedah recorded 8 subsale transactions between 2021 and 2026, with a median price of RM390K and a median price per square foot (PSF) of RM231.

This area contains both residential and commercial properties. View 4 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM390K, with most transactions falling within a stable range of RM353K to RM428K, and a typical market range of RM346K to RM434K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM231, though individual units vary from RM144 to RM318 in the core range. The broader market spans RM149.60 to RM312.60, indicating diverse property characteristics. A wider spread (IQR: RM163.00) and deviation (MAD: RM87) 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.