Bandar Sri Mahkota

Kedah, Kulim, Bandar Kulim

Property Transactions

11 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM290,000
Lorong Mahkota 29/2
2,486 sqft RM117 PSF
RM230,000
Lorong Mahkota 18/2
1,302 sqft RM177 PSF
RM350,000
Lorong Mahkota 18/2
1,302 sqft RM269 PSF
RM230,000
Lorong 22/2
1,302 sqft RM177 PSF
RM360,000
Daerah Kulim
1,345 sqft RM268 PSF
RM220,000
Lorong Mahkota 15/2
1,302 sqft RM169 PSF
RM140,000
Lorong Mahkota 21/1
1,302 sqft RM107 PSF
RM240,000
Lorong Mahkota 21/2
1,302 sqft RM184 PSF
RM220,000
Lorong Mahkota
1,302 sqft RM169 PSF
RM250,000
Lorong Mahkota 23/2
1,302 sqft RM192 PSF
RM150,000
Lorong Mahkota 24/2
1,302 sqft RM115 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM230,000

RM173 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 RM230K and a median price per square foot (PSF) of RM177.

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 RM230K, with most transactions falling within a stable range of RM164K to RM296K, and a typical market range of RM195K to RM265K.

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

Price per square foot shows a median of RM177, though individual units vary from RM125 to RM228 in the core range. The broader market spans RM154.59 to RM198.59, indicating diverse property characteristics. A wider spread (IQR: RM44.00) and deviation (MAD: RM52) 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.