Taman Desa Bidara

Kedah, Kuala Muda, Bandar Sungai Petani

Property Transactions

6 subsales grouped by size

Median
RM 380,000
PSF
RM 128
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM 300,000
Jalan Desa Bidara 4
1,389 sqft · RM 216 PSF
RM 270,000
Jalan Desa Bidara 4
1,399 sqft · RM 193 PSF
3,200 sqft
Semi-D
RM 415,000
Jalan Desa Bidara 1/1
3,197 sqft · RM 130 PSF
3,450 sqft
Terrace
RM 370,000
Jalan Desa Bidara 5
3,455 sqft · RM 107 PSF
4,500 sqft
Semi-D
RM 390,000
Jalan Desa Bidara 2
4,521 sqft · RM 86 PSF
7,200 sqft
Bungalow
RM 900,000
Jalan Desa Bidara 2/1
7,180 sqft · RM 125 PSF
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Market Snapshot

Residential

RM 380,000

RM 128 psf

Median transaction price

Taman Desa Bidara
© OpenStreetMap · CARTO

Taman Desa Bidara, Kuala Muda, Kedah

Taman Desa Bidara in Kuala Muda, Kedah recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 380K and a median price per square foot (PSF) of RM 128.

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 380K, with most transactions falling within a stable range of RM 270K to RM 591K, and a typical market range of RM 313K to RM 448K.

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

Price per square foot shows a median of RM 128, though individual units vary from RM 81 to RM 174 in the core range. The broader market spans RM 85.84 to RM 169.34, indicating diverse property characteristics. A wider spread (IQR: RM 83.50) and deviation (MAD: RM 46) indicate significant PSF variations, likely due to diverse property types or conditions.

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.