Bandar Sri Mahkota

Kedah, Kulim, Bandar Kulim

Property Transactions

11 subsales grouped by size · LC House →

Median
RM 230,000
PSF
RM 177
Price Size
Period
transactions middle 50% (P25–P75)
RM 230,000
Lorong Mahkota 18/2
1,302 sqft · RM 177 PSF
RM 350,000
Lorong Mahkota 18/2
1,302 sqft · RM 269 PSF
RM 230,000
Lorong 22/2
1,302 sqft · RM 177 PSF
RM 220,000
Lorong Mahkota 15/2
1,302 sqft · RM 169 PSF
RM 140,000
Lorong Mahkota 21/1
1,302 sqft · RM 107 PSF
RM 240,000
Lorong Mahkota 21/2
1,302 sqft · RM 184 PSF
+3 more
1,350 sqft
1-Sty Shop
RM 360,000
Daerah Kulim
1,345 sqft · RM 268 PSF
2,500 sqft
LC House
RM 290,000
Lorong Mahkota 29/2
2,486 sqft · RM 117 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 230,000

RM 173 psf

Median transaction price

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Bandar Sri Mahkota, Kulim, Kedah

Bandar Sri Mahkota in Kulim, Kedah recorded 11 subsale transactions in 2022, with a median price of RM 230K and a median price per square foot (PSF) of RM 177.

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 230K, with most transactions falling within a stable range of RM 164K to RM 296K, and a typical market range of RM 195K to RM 265K.

Most transactions involved low-cost house, with moderate diversity in property types available.

Price per square foot shows a median of RM 177, though individual units vary from RM 125 to RM 228 in the core range. The broader market spans RM 154.59 to RM 198.59, indicating diverse property characteristics. A wider spread (IQR: RM 44.00) and deviation (MAD: RM 52) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.