Bandar Utama

08000 Sungai Petani, Kedah, Malaysia

Property Transactions

1 subsales grouped by size

Median
RM 460,000
PSF
RM 128
Price Size
Period
transactions middle 50% (P25–P75)
3,600 sqft
Semi-D
RM 460,000
Lorong Bandar Utama 8
3,595 sqft · RM 128 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

3 auction properties in Bandar Utama

NO. 165, LORONG BANDAR UTAMA 7, BANDAR UTAMA, 08000, SUNGAI PETANI, Kedah
Type Reserve Price Detached-House RM 600,000
PSF Size Auction Date RM 124.43 4,822 sqft 11 Aug 2026
NO. 377, LORONG ALYA 10, BANDAR UTAMA, 08000, SUNGAI PETANI, Kedah
Type Reserve Price Detached-House RM 420,000
PSF Size Auction Date RM 77.73 5,403 sqft 22 Jul 2026
NO. 491, JALAN BANDAR UTAMA 3, BANDAR UTAMA, 08000, SUNGAI PETANI, Kedah
Type Reserve Price Terrace RM 280,000
PSF Size Auction Date RM 129.42 2,164 sqft 29 Jul 2026

Market Snapshot

Residential

RM 460,000

RM 128 psf

Median transaction price

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Bandar Utama, 08000 Sungai Petani, Kedah, Malaysia

Maps

Bandar Utama in Kuala Muda, Kedah recorded 1 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 460K and a median price per square foot (PSF) of RM 128.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Within the Single Storey Semi-D category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM 128, with most transactions between RM 128 and RM 128. The usual range is RM 99.45 to RM 156.45, showing that most units are priced quite close to each other. With an IQR of RM 57.00 and MAD of RM 0, 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.