Taman Keladi Fasa 1

1, Sungai Petani, Kedah, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
LC House
RM150,000
Lorong Angsana 51
1,195 sqft · RM126 PSF
RM275,000
Lorong Angsana 1
1,195 sqft · RM230 PSF
RM215,000
Lorong Angsana 4
1,195 sqft · RM180 PSF
RM200,000
Lorong Angsana 4
1,195 sqft · RM167 PSF
RM250,000
Lorong Angsana 46
1,195 sqft · RM209 PSF
RM265,000
Lorong Angsana 54
1,195 sqft · RM222 PSF
2,300 sqft
LC House
RM300,000
Lorong Angsana 23
2,293 sqft · RM131 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

1 auction properties in Taman Keladi Fasa 1

NO 1509, LORONG ANGSANA 43, TAMAN KELADI FASA 1, 08000, SUNGAI PETANI, Kedah
Type Reserve Price Terrace RM200,000
PSF Size Auction Date RM167.36 1,195 sqft 02 Sep 2026

Market Snapshot

Residential

RM250,000

RM180 psf

Median transaction price

Taman Keladi Fasa 1 in Kuala Muda, Kedah recorded 7 subsale transactions in 2026, with a median price of RM250K and a median price per square foot (PSF) of RM180.

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 RM250K, with most transactions falling within a stable range of RM203K to RM297K, and a typical market range of RM217K to RM283K.

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

Price per square foot shows a median of RM180, though individual units vary from RM141 to RM219 in the core range. The broader market spans RM153.50 to RM206.50, indicating diverse property characteristics. The spread of RM53.00 (IQR) and deviation of RM39 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.