Bandar Amanjaya (Zon Mawar)

16, Jalan Teratai 1, Bandar Amanjaya, 08000 Sungai Petani, Kedah, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,600 sqft
Semi-D
RM475,000
Jalan Mawar 2/4A
3,601 sqft · RM132 PSF
RM580,000
Jalan Mawar 2/4A
3,601 sqft · RM161 PSF
RM530,000
Jalan Mawar 1/2A
3,601 sqft · RM147 PSF
RM450,000
Jalan Mawar 2/4A
3,601 sqft · RM125 PSF
RM450,000
Jalan Mawar 1/2
3,601 sqft · RM125 PSF
RM420,000
Jalan Mawar 2/4A
3,601 sqft · RM117 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM462,500

RM128 psf

Median transaction price

Bandar Amanjaya (Zon Mawar)
© OpenStreetMap · CARTO

16, Jalan Teratai 1, Bandar Amanjaya, 08000 Sungai Petani, Kedah, Malaysia

Maps

Bandar Amanjaya (Zon Mawar) in Kuala Muda, Kedah recorded 6 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM463K and a median price per square foot (PSF) of RM128.

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 RM463K, with most transactions falling within a stable range of RM420K to RM517K, and a typical market range of RM425K to RM500K.

Within the Double Storey Semi-D category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.

The median PSF stands at RM128, with core pricing between RM113 and RM144. Market pricing typically extends from RM106.32 to RM150.58, reflecting moderate variation in unit pricing. With an IQR of RM44.25 and MAD of RM15, 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.