Mukim Bandar Gua Musang

Kelantan, Gua Musang, Bandar Gua Musang

Property Transactions

8 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,500 sqft
Terrace
RM216,000
Off Jalan Gua Musang Kuala Lipis
1,507 sqft · RM143 PSF
RM210,000
Off Jalan Gua Musang Kuala Lipis
1,507 sqft · RM139 PSF
2,500 sqft
Terrace
RM250,000
Off Jalan Gua Musang Kuala Lipis
2,519 sqft · RM99 PSF
2,650 sqft
Semi-D
RM350,000
Bandar Gua Musang
2,659 sqft · RM132 PSF
RM280,000
Bandar Gua Musang
2,659 sqft · RM105 PSF
2,950 sqft
Bungalow
RM350,000
Jalan Batu Papan
2,939 sqft · RM119 PSF
4,550 sqft
Bungalow
RM170,000
Bandar Gua Musang
4,542 sqft · RM37 PSF
4,750 sqft
Bungalow
RM180,000
Bandar Gua Musang, Jalan Kesedar Inn
4,772 sqft · RM38 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM213,000

RM109 psf

Median transaction price

Mukim Bandar Gua Musang in Gua Musang, Kelantan recorded 8 subsale transactions between 2021 and 2026, with a median price of RM233K and a median price per square foot (PSF) of RM119.

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 RM233K, with most transactions falling within a stable range of RM183K to RM283K, and a typical market range of RM186K to RM281K.

Most transactions involved detached, with high diversity across multiple property types.

The median PSF stands at RM119, with core pricing between RM96 and RM143. Market pricing typically extends from RM94.11 to RM144.11, reflecting moderate variation in unit pricing. The spread of RM50.00 (IQR) and deviation of RM24 (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.