| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Prima Mahkota 31/2
|
RM300,000
|
RM211
|
1,421 sqft
|
|
|
Lorong Mahkota 38/2
|
RM360,000
|
RM224
|
1,604 sqft
|
|
|
|
Lorong Mahkota 36/2
|
RM343,000
|
RM214
|
1,604 sqft
|
|
Selling in Residensi PR1MA Seri Mahkota? Homes here sold for a median of RM343,000.
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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
ResidentialRM343,000
RM214 psfMedian transaction price
Residensi PR1MA Seri Mahkota, 09000 Kulim, Kedah, Malaysia
MapsResidensi PR1MA Seri Mahkota in Kulim, Kedah recorded 3 subsale transactions in 2024, with a median price of RM343K and a median price per square foot (PSF) of RM214.
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 RM343K, with most transactions falling within a stable range of RM318K to RM360K, and a typical market range of RM300K to RM360K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM214, with most transactions between RM208 and RM220. The usual range is RM163.86 to RM263.86, showing that most units are priced quite close to each other. With an IQR of RM100.00 and MAD of RM6, 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.