Taman Tengku Maheran

Bandar Darulaman, Kubang Pasu, Kedah, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 285,000
PSF
RM 197
Price Size
Period
transactions middle 50% (P25–P75)
1,250 sqft
2-Sty Terrace
RM 250,000
Jalan Tengku Maheran 14/1
1,270 sqft · RM 197 PSF
1,300 sqft
Terrace
RM 285,000
Jalan Tengku Maheran 15
1,302 sqft · RM 219 PSF
2,800 sqft
Semi-D
RM 500,000
Jalan Tengku Maheran 29
2,777 sqft · RM 180 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Tengku Maheran

What’s happening in Taman Tengku Maheran?

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

Market Snapshot

Residential

RM 285,000

RM 197 psf

Median transaction price

Loading map...

TAMAN TENGKU MAHERAN, Bandar Darulaman, Kubang Pasu, Kedah, Malaysia

Taman Tengku Maheran in Kubang Pasu, Kedah recorded 3 subsale transactions between 2021 and 2026, with a median price of RM 285K and a median price per square foot (PSF) of RM 197.

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 RM 285K, with most transactions falling within a stable range of RM 250K to RM 396K, and a typical market range of RM 250K to RM 328K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

For price per square foot, the median is RM 197, with most transactions between RM 181 and RM 213. The usual range is RM 180.88 to RM 213.13, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 32.25 and an average deviation (MAD) of RM 16 indicate a highly stable PSF trend across properties.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.