Bandar Sri Mahkota

Kedah, Kulim, Bandar Kulim

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
RM290,000
Lorong. Mahkota 15/2
1,302 sqft · RM223 PSF
RM306,000
Lorong. Mahkota 15/2
1,302 sqft · RM235 PSF
RM230,000
Lorong Mahkota 29/2
1,302 sqft · RM177 PSF
RM250,000
Lorong Mahkota 24/2
1,302 sqft · RM192 PSF
RM270,000
Lorong Mahkota 24/2
1,302 sqft · RM207 PSF
1,800 sqft
Terrace
RM280,000
Lorong Mahkota 15/2
1,808 sqft · RM155 PSF
Legend Recent Highest Price Highest PSF

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

RM275,000

RM200 psf

Median transaction price

Loading map...

Bandar Sri Mahkota, Kulim, Kedah

Bandar Sri Mahkota in Kulim, Kedah recorded 6 subsale transactions between 2021 and 2026, with a median price of RM275K and a median price per square foot (PSF) of RM200.

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 RM275K, with most transactions falling within a stable range of RM250K to RM300K, and a typical market range of RM240K to RM306K.

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

The median PSF stands at RM200, with core pricing between RM173 and RM227. Market pricing typically extends from RM177.65 to RM221.65, reflecting moderate variation in unit pricing. With an IQR of RM44.00 and MAD of RM27, 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.