Bintang Maya

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

Property Transactions

1 subsales grouped by size · 2-Sty Terrace →

Median
RM 500,000
PSF
RM 262
Price Size
Period
transactions middle 50% (P25–P75)
1,900 sqft
2-Sty Terrace
RM 500,000
Jalan Bintang Maya
1,905 sqft · RM 262 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 262 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 subsale transactions in 2025, with a median price of RM 500K and a median price per square foot (PSF) of RM 262.

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

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

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM 262, with most transactions between RM 262 and RM 262. The usual range is RM 236.94 to RM 287.94, 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.