Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Mahkota 8/1
|
RM275,000
|
RM204
|
1,345 sqft
|
|
|
|
Daerah Kulim
|
RM360,000
|
RM268
|
1,345 sqft
|
|
Posts about Bandar Sri Mahkota
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Nearby areas in Bandar Kulim
Taman Selasih Fasa 1
Taman Kulim Utama
Taman Kenari Fasa 1
Residensi PR1MA Seri Mahkota
Taman Angsana
Taman Jati (Flat)
Taman Merpati Indah
Taman Kota Kenari
Bandar Sri Mahkota
Taman Hi-Tech Utama
Taman Kulim Technocity Fasa 1
Taman Kulim Technocity Fasa 3
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Kulim
Market Snapshot
ResidentialRM250,000
RM184 psfMedian transaction price
Bandar Sri Mahkota, Kulim, Kedah
Bandar Sri Mahkota in Kulim, Kedah recorded 2 Single Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM318K and a median price per square foot (PSF) of RM236.
This area contains both residential and commercial properties. View 45 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM318K, with most transactions falling within a stable range of RM275K to RM360K, and a typical market range of RM283K to RM353K.
Within the Single Storey Shop category, low-cost house dominated the market, with moderate diversity in property types available.
The median PSF stands at RM236, with core pricing between RM204 and RM268. Market pricing typically extends from RM213.97 to RM257.97, reflecting moderate variation in unit pricing. With an IQR of RM44.00 and MAD of RM32, 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.