Bandar Baru Gua Musang

18300 Gua Musang, Kelantan, Malaysia

Property Transactions

5 subsales grouped by size · 2-Sty Terrace →

Median
RM 376,000
PSF
RM 251
Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
2-Sty Terrace
RM 376,000
Gua Musang - Pulai
1,313 sqft · RM 286 PSF
RM 376,000
Gua Musang - Pulai
1,313 sqft · RM 286 PSF
RM 329,000
Gua Musang - Pulai
1,313 sqft · RM 251 PSF
RM 319,000
Gua Musang - Pulai
1,313 sqft · RM 243 PSF
4,400 sqft
2-Sty Shop
RM 680,000
Bandar Gua Musang
4,413 sqft · RM 154 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 352,500

RM 268 psf

Median transaction price

Bandar Baru Gua Musang
© OpenStreetMap · CARTO

Bandar Baru Gua Musang, 18300 Gua Musang, Kelantan, Malaysia

Maps

Bandar Baru Gua Musang in Gua Musang, Kelantan recorded 5 subsale transactions in 2022, with a median price of RM 376K and a median price per square foot (PSF) of RM 251.

This area contains both residential and commercial properties. View 13 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 376K, with most transactions falling within a stable range of RM 319K to RM 510K, and a typical market range of RM 348K to RM 405K.

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

The median PSF stands at RM 251, with core pricing between RM 202 and RM 299. Market pricing typically extends from RM 220.03 to RM 281.03, reflecting moderate variation in unit pricing. The spread of RM 61.00 (IQR) and deviation of RM 48 (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.