Persiaran Cinta Sayang

Bandar Sungai Petani, 08000, Kuala Muda, Kedah, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 625,000
PSF
RM 67
Price Size
Period
transactions middle 50% (P25–P75)
6,400 sqft
Bungalow
RM 550,000
Persiaran Cinta Syg
6,400 sqft · RM 86 PSF
8,250 sqft
Bungalow
RM 480,000
Persiaran Cinta Sayang
8,230 sqft · RM 58 PSF
9,100 sqft
Bungalow
RM 500,000
Jalan Kelab Cinta Sayang
9,106 sqft · RM 55 PSF
10,100 sqft
Bungalow
RM 850,000
Jalan Persiaran Cinta Sayang
10,118 sqft · RM 84 PSF
11,800 sqft
Bungalow
RM 900,000
Jalan Persiaran Cinta Sayang
11,778 sqft · RM 76 PSF
14,150 sqft
Bungalow
RM 700,000
Persiaran Cinta Sayang
14,144 sqft · RM 49 PSF
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Market Snapshot

Residential

RM 625,000

RM 67 psf

Median transaction price

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PERSIARAN CINTA SAYANG, Bandar Sungai Petani, 08000, Kuala Muda, Kedah, Malaysia

Persiaran Cinta Sayang in Kuala Muda, Kedah recorded 6 subsale transactions in 2023, with a median price of RM 625K and a median price per square foot (PSF) of RM 67.

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 625K, with most transactions falling within a stable range of RM 480K to RM 791K, and a typical market range of RM 480K to RM 800K.

Most transactions involved detached, with minimal variety in property types.

Price per square foot shows a median of RM 67, though individual units vary from RM 53 to RM 82 in the core range. The broader market spans RM 51.37 to RM 83.37, indicating diverse property characteristics. The spread of RM 32.00 (IQR) and deviation of RM 14 (MAD) suggest moderate price variations reflecting different property features.

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.