Taman Sri Pinang

Kedah, Kuala Muda, Pekula

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,050 sqft
LC House
RM150,000
Lorong Pinang 2/5
1,044 sqft · RM144 PSF
RM130,000
Jalan Pinang 5
1,044 sqft · RM125 PSF
RM170,000
Lorong Pinang 2/34
1,044 sqft · RM163 PSF
RM140,000
Lorong Pinang 2/3A
1,044 sqft · RM134 PSF
RM140,000
Lorong Pinang 2/4
1,044 sqft · RM134 PSF
2,150 sqft
Semi-D
RM270,000
Jalan Pinang 1
2,174 sqft · RM124 PSF
3,750 sqft
Semi-D
RM275,000
Lorong Pinang 4/3
3,735 sqft · RM74 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pekula

Market Snapshot

Residential

RM150,000

RM134 psf

Median transaction price

Taman Sri Pinang
© OpenStreetMap · CARTO

Taman Sri Pinang, Kuala Muda, Kedah

Taman Sri Pinang in Kuala Muda, Kedah recorded 7 subsale transactions in 2022, with a median price of RM150K and a median price per square foot (PSF) of RM134.

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 RM150K, with most transactions falling within a stable range of RM130K to RM208K, and a typical market range of RM130K to RM193K.

Most transactions involved low-cost house, though some variety exists in the market.

The median PSF stands at RM134, with core pricing between RM109 and RM159. Market pricing typically extends from RM101.59 to RM166.59, reflecting moderate variation in unit pricing. The spread of RM65.00 (IQR) and deviation of RM25 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.