Taman Cindai Jaya

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

Property Transactions

2 subsales grouped by size

Median
RM 437,500
PSF
RM 242
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Semi-D
RM 325,000
Jalan Laman Cindai 2B
1,389 sqft · RM 234 PSF
2,200 sqft
2-Sty Shop
RM 550,000
Jalan Cindai Jaya 1
2,207 sqft · RM 249 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

1 auction properties in Taman Cindai Jaya

8, Laman Cindai 3A, Taman Cindai Jaya, 08000, Sungai Petani, Kedah
Type Reserve Price Cluster RM 270,000
PSF Size Auction Date RM 194.45 1,389 sqft 12 Aug 2026

Market Snapshot

RM 325,000

RM 234 psf

Median transaction price

RM 550,000

RM 249 psf

Median transaction price

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TAMAN CINDAI JAYA, Bandar Sungai Petani, 08000, Kuala Muda, Kedah, Malaysia

Taman Cindai Jaya in Kuala Muda, Kedah recorded 2 subsale transactions in 2025, with a median price of RM 438K and a median price per square foot (PSF) of RM 242.

This area contains both residential and commercial properties. View 16 residential properties or 8 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 438K, with most transactions falling within a stable range of RM 325K to RM 550K, and a typical market range of RM 380K to RM 496K.

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

For price per square foot, the median is RM 242, with most transactions between RM 234 and RM 249. The usual range is RM 209.91 to RM 273.16, showing that most units are priced quite close to each other. With an IQR of RM 63.25 and MAD of RM 7, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.