Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Mahkota 21/2
|
RM 210,000
|
RM 176
|
1,195 sqft
|
|
|
Lorong. Mahkota 15/2
|
RM 290,000
|
RM 223
|
1,302 sqft
|
|
Terrace |
|
Lorong. Mahkota 15/2
|
RM 306,000
|
RM 235
|
1,302 sqft
|
|
Terrace |
|
Lorong Mahkota 29/2
|
RM 230,000
|
RM 177
|
1,302 sqft
|
|
LC House |
|
Lorong Mahkota 24/2
|
RM 250,000
|
RM 192
|
1,302 sqft
|
|
LC House |
|
Lorong Mahkota 24/2
|
RM 270,000
|
RM 207
|
1,302 sqft
|
|
LC House |
|
Lorong Mahkota 17/2
|
RM 295,000
|
RM 226
|
1,302 sqft
|
|
Terrace |
|
Lorong Mahkota 9/2
|
RM 330,000
|
RM 200
|
1,647 sqft
|
|
|
Lorong Mahkota 15/2
|
RM 280,000
|
RM 155
|
1,808 sqft
|
|
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Market Snapshot
ResidentialRM 290,000
RM 211 psfMedian transaction price
Bandar Sri Mahkota, Kulim, Kedah
Bandar Sri Mahkota in Kulim, Kedah recorded 13 subsale transactions between 2021 and 2026, with a median price of RM 290K and a median price per square foot (PSF) of RM 211.
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 RM 290K, with most transactions falling within a stable range of RM 254K to RM 326K, and a typical market range of RM 255K to RM 325K.
Most transactions involved low-cost house, with moderate diversity in property types available.
The median PSF stands at RM 211, with core pricing between RM 182 and RM 240. Market pricing typically extends from RM 189.14 to RM 233.14, reflecting moderate variation in unit pricing. With an IQR of RM 44.00 and MAD of RM 29, 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.