Bandar Sri Mahkota

Kedah, Kulim, Bandar Kulim

Property Transactions

3 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM280,000
Lorong Mahkota 15/2
1,808 sqft RM155 PSF
RM290,000
Lorong. Mahkota 15/2
1,302 sqft RM223 PSF
RM306,000
Lorong. Mahkota 15/2
1,302 sqft RM235 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Sri Mahkota? Homes here sold for a median of RM290,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Bandar Sri Mahkota

What’s happening in Bandar Sri Mahkota?

No posts about Bandar Sri Mahkota yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM290,000

RM223 psf

Median transaction price

Loading map...

Bandar Sri Mahkota, Kulim, Kedah

Bandar Sri Mahkota in Kulim, Kedah recorded 3 subsale transactions in 2026, with a median price of RM290K and a median price per square foot (PSF) of RM223.

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 RM290K, with most transactions falling within a stable range of RM280K to RM301K, and a typical market range of RM280K to RM306K.

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

The median PSF stands at RM223, with core pricing between RM188 and RM258. Market pricing typically extends from RM201.00 to RM245.00, reflecting moderate variation in unit pricing. The spread of RM44.00 (IQR) and deviation of RM35 (MAD) suggest moderate price variations reflecting different property features.

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.