Bintang Maya

Bukit Bintang, Bandar Sungai Petani, 50100, Kuala Muda, Kedah, Malaysia

Property Transactions

1 subsales grouped by size

Median
RM 500,000
PSF
RM 272
Price Size
Period
transactions middle 50% (P25–P75)
1,850 sqft
Semi-D
RM 500,000
Jalan Bintang Maya
1,841 sqft · RM 272 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

3 auction properties in Bintang Maya

No.95, Jalan Bintang Maya 2/3, Bintang Maya, 08000, Sungai Petani, Kedah
Type Reserve Price Terrace RM 328,050
PSF Size Auction Date RM 213.16 1,539 sqft 13 Aug 2026
No. 167, Jalan Bintang Maya 2/6, Bintang Maya, 08000, Sungai Petani, Kedah
Type Reserve Price Terrace RM 450,000
PSF Size Auction Date RM 292.21 1,540 sqft 28 Jul 2026
No. 85, Jalan Bintang Maya 2/2, Bintang Maya, 08000, Sungai Petani, Kedah
Type Reserve Price Terrace RM 262,440
PSF Size Auction Date RM 170.53 1,539 sqft 29 Jul 2026

Market Snapshot

Residential

RM 500,000

RM 272 psf

Median transaction price

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BINTANG MAYA, Bukit Bintang, Bandar Sungai Petani, 50100, Kuala Muda, Kedah, Malaysia

Bintang Maya in Kuala Muda, Kedah recorded 1 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 500K and a median price per square foot (PSF) of RM 272.

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

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

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

For price per square foot, the median is RM 272, with most transactions between RM 272 and RM 272. The usual range is RM 246.15 to RM 297.15, showing that most units are priced quite close to each other. With an IQR of RM 51.00 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. 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.