Taman Delima

Kedah, Langkawi, Bandar Kuah

Property Transactions

10 subsales grouped by size

Median
RM190,000
PSF
RM129
Period
transactions middle 50% (P25–P75)
1,250 sqft
Terrace
RM190,000
Lorong Delima 5
1,238 sqft · RM153 PSF
RM190,000
Lorong Delima 1, Jalan Ayer Hangat
1,238 sqft · RM153 PSF
RM158,000
Lorong Delima 5
1,238 sqft · RM128 PSF
RM200,000
Lorong Delima 1
1,238 sqft · RM162 PSF
RM150,000
Lorong Delima 1
1,238 sqft · RM121 PSF
RM165,000
Lorong Delima 3
1,238 sqft · RM133 PSF
RM160,000
Lorong Delima
1,238 sqft · RM129 PSF
2,000 sqft
Terrace
RM200,000
Lorong Delima 5
1,981 sqft · RM101 PSF
3,850 sqft
Terrace
RM240,000
Lorong Delima 2
3,853 sqft · RM62 PSF
RM240,000
Lorong Delima 2
3,853 sqft · RM62 PSF
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Market Snapshot

Residential

RM190,000

RM129 psf

Median transaction price

Average

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Taman Delima
© OpenStreetMap · CARTO

Taman Delima, Langkawi, Kedah

Taman Delima in Langkawi, Kedah recorded 10 subsale transactions between 2021 and 2026, with a median price of RM190K and a median price per square foot (PSF) of RM129.

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 RM190K, with most transactions falling within a stable range of RM163K to RM218K, and a typical market range of RM171K to RM209K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

The median PSF stands at RM129, with core pricing between RM105 and RM154. Market pricing typically extends from RM108.26 to RM150.26, reflecting moderate variation in unit pricing. The spread of RM42.00 (IQR) and deviation of RM25 (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. 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.