Taman Permai (SP)

Kedah, Kuala Muda, Sungai Pasir

Property Transactions

10 subsales grouped by size

Median
RM210,000
PSF
RM150
Period
transactions middle 50% (P25–P75)
1,200 sqft
LC House
RM230,000
Jalan 2
1,195 sqft · RM193 PSF
RM220,000
Lorong 1/9B
1,195 sqft · RM184 PSF
RM190,000
Jalan Satu
1,195 sqft · RM159 PSF
RM180,000
Jalan 2
1,206 sqft · RM149 PSF
RM180,000
Jalan Satu
1,195 sqft · RM151 PSF
RM170,000
Lorong 3 Taman Permai
1,195 sqft · RM142 PSF
1,500 sqft
LC House
RM225,000
Lorong 2A
1,496 sqft · RM150 PSF
2,300 sqft
LC House
RM200,000
Jalan 1
2,293 sqft · RM87 PSF
2,600 sqft
LC House
RM260,000
Jalan 1
2,605 sqft · RM100 PSF
3,200 sqft
LC House
RM300,000
Lorong 5
3,175 sqft · RM94 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM210,000

RM150 psf

Median transaction price

Taman Permai (SP)
© OpenStreetMap · CARTO

Taman Permai (SP), Kuala Muda, Kedah

Taman Permai (SP) in Kuala Muda, Kedah recorded 10 subsale transactions between 2021 and 2026, with a median price of RM210K and a median price per square foot (PSF) of RM150.

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 RM210K, with most transactions falling within a stable range of RM185K to RM235K, and a typical market range of RM187K to RM233K.

Most transactions involved low-cost house, with minimal variety in property types.

The median PSF stands at RM150, with core pricing between RM128 and RM172. Market pricing typically extends from RM126.75 to RM173.25, reflecting moderate variation in unit pricing. With an IQR of RM46.50 and MAD of RM22, 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.