Bandar Pinggiran Kuala Krai

Kelantan, Kuala Krai, Kuala Pahi

Property Transactions

7 subsales grouped by size · 1-Sty Shop →

Median
RM 588,000
PSF
RM 247
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
1-Sty Shop
RM 268,000
Jalan Kuala Krai- Gua Musang
667 sqft · RM 402 PSF
RM 695,000
Jalan Kuala Krai- Gua Musang
2,379 sqft · RM 292 PSF
RM 588,000
Jalan Kuala Krai- Gua Musang
2,379 sqft · RM 247 PSF
RM 258,000
Jalan Kuala Krai / Gua Musang
2,379 sqft · RM 108 PSF
RM 588,000
Jalan Kuala Krai- Gua Musang
2,379 sqft · RM 247 PSF
RM 760,000
Jalan Kuala Krai / Gua Musang
2,379 sqft · RM 319 PSF
RM 578,000
Jalan Kuala Krai / Gua Musang
2,379 sqft · RM 243 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 588,000

RM 247 psf

Median transaction price

Bandar Pinggiran Kuala Krai in Kuala Krai, Kelantan recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 588K and a median price per square foot (PSF) of RM 247.

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

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 588K, with most transactions falling within a stable range of RM 406K to RM 760K, and a typical market range of RM 428K to RM 748K.

Most transactions involved 1 - 1 1/2 storey shop, though some variety exists in the market.

Price per square foot shows a median of RM 247, though individual units vary from RM 164 to RM 330 in the core range. The broader market spans RM 228.68 to RM 265.68, indicating diverse property characteristics. A wider spread (IQR: RM 37.00) and deviation (MAD: RM 83) 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.