Taman Desa Aman (Sungai Lalang) Fasa 1

Kedah, Kuala Muda, Bandar Sungai Petani

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
LC House
RM270,000
Lorong 1
1,302 sqft · RM207 PSF
RM220,000
Jalan Desa Aman 1/1A
1,302 sqft · RM169 PSF
2,650 sqft
LC House
RM290,000
Lorong Desa Aman 1/1A
2,637 sqft · RM110 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Desa Aman (Sungai Lalang) Fasa 1

What’s happening in Taman Desa Aman (Sungai Lalang) Fasa 1?

No posts about Taman Desa Aman (Sungai Lalang) Fasa 1 yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM270,000

RM169 psf

Median transaction price

Taman Desa Aman (Sungai Lalang) Fasa 1
© OpenStreetMap · CARTO

Taman Desa Aman (Sungai Lalang) Fasa 1, Kuala Muda, Kedah

Taman Desa Aman (Sungai Lalang) Fasa 1 in Kuala Muda, Kedah recorded 3 subsale transactions between 2021 and 2026, with a median price of RM270K and a median price per square foot (PSF) of RM169.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM270K, with most transactions falling within a stable range of RM241K to RM290K, and a typical market range of RM233K to RM290K.

Most transactions involved low-cost house, with minimal variety in property types.

Price per square foot shows a median of RM169, though individual units vary from RM129 to RM209 in the core range. The broader market spans RM145.00 to RM193.00, indicating diverse property characteristics. The spread of RM48.00 (IQR) and deviation of RM40 (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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.