Taman Bkt Makmur

Kedah, Kuala Muda, Bandar Sungai Lalang

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
2-Sty Terrace
RM310,000
Jalan Makmur 2/1
1,076 sqft · RM288 PSF
RM230,000
Lorong 2/2
1,076 sqft · RM214 PSF
RM225,000
Taman Bukit Makmur
1,076 sqft · RM209 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Bkt Makmur? Homes here sold for a median of RM230,000.

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

List your property free

Posts about Taman Bkt Makmur

What’s happening in Taman Bkt Makmur?

No posts about Taman Bkt Makmur yet. Be the first to share what’s happening here.

Taman Bkt Makmur in Kuala Muda, Kedah recorded 3 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM230K and a median price per square foot (PSF) of RM214.

This area contains both residential and commercial properties. View 5 residential properties or 1 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 RM225K to RM269K, and a typical market range of RM225K to RM238K.

Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.

The median PSF stands at RM214, with core pricing between RM178 and RM250. Market pricing typically extends from RM180.81 to RM246.56, reflecting moderate variation in unit pricing. The spread of RM65.75 (IQR) and deviation of RM36 (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.