Puncak Ihsan

Keladi, Bandar Kulim, Kulim, Kedah, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,700 sqft
2-Sty Terrace
RM425,000
Jalan Puncak Ihsan 3
1,679 sqft · RM253 PSF
RM428,000
Jalan Puncakihsan 3
1,679 sqft · RM255 PSF
RM428,000
Jalan Puncak Ihsan 3
1,679 sqft · RM255 PSF
RM428,000
Jalan Puncak Ihsan 3
1,679 sqft · RM255 PSF
RM428,000
Puncak Ihsan
1,679 sqft · RM255 PSF
RM405,000
Puncak Ihsan
1,679 sqft · RM241 PSF
RM405,000
Puncak Ihsan
1,679 sqft · RM241 PSF
Legend Recent Highest Price Highest PSF

Selling in Puncak Ihsan? Homes here sold for a median of RM428,000.

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Market Snapshot

Residential

RM428,000

RM255 psf

Median transaction price

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PUNCAK IHSAN, Keladi, Bandar Kulim, Kulim, Kedah, Malaysia

Puncak Ihsan in Kulim, Kedah recorded 7 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM428K and a median price per square foot (PSF) of RM255.

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 RM428K, with most transactions falling within a stable range of RM418K to RM428K, and a typical market range of RM405K to RM428K.

Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM255, with most transactions between RM249 and RM261. The usual range is RM201.39 to RM308.39, showing that most units are priced quite close to each other. With an IQR of RM107.00 and MAD of RM6, the PSF demonstrates reasonable consistency across the market.

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.