Taman Saderi

Bandar Lunas, 06650, Kulim, Kedah, Malaysia

Property Transactions

5 subsales grouped by size · Terrace →

Period
transactions middle 50% (P25–P75)
1,550 sqft
Terrace
RM300,000
Jalan Saderi
1,561 sqft · RM192 PSF
RM320,000
Jalan. Saderi 1/3
1,539 sqft · RM208 PSF
RM285,000
Jalan Saderi
1,561 sqft · RM183 PSF
RM230,000
Jalan. Saderi 3
1,539 sqft · RM149 PSF
3,100 sqft
Semi-D
RM400,000
Lorong Saderi 1/3
3,089 sqft · RM129 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Saderi? Homes here sold for a median of RM300,000.

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Market Snapshot

Residential

RM300,000

RM183 psf

Median transaction price

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TAMAN SADERI, Bandar Lunas, 06650, Kulim, Kedah, Malaysia

Taman Saderi in Kulim, Kedah recorded 5 subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM183.

Nothing is listed in Taman Saderi right now. Browse properties for sale in Bandar Lunas and properties for rent in Bandar Lunas nearby, then use the 5 sales recorded here to judge whether an asking price is fair.

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 RM300K, with most transactions falling within a stable range of RM280K to RM320K, and a typical market range of RM283K to RM318K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM183, with core pricing between RM158 and RM208. Market pricing typically extends from RM161.10 to RM204.10, reflecting moderate variation in unit pricing. With an IQR of RM43.00 and MAD of RM25, 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. 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.