Taman Gambir Perdana

Sinmah Builders Sdn Bhd, Jln Sengkang, 84700 Bukit Gambir, Johor Darul Ta'zim, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 150,000
PSF
RM 110
Price Size
1,350 sqft
1-Sty Shop
RM 150,000
Jalan Gambir Perdana 15
1,367 sqft · RM 110 PSF
RM 150,000
Jalan Gambir Perdana 15
1,367 sqft · RM 110 PSF
2,400 sqft
2-Sty Terrace
RM 568,000
Tepi Jalan Sengkang-Bukit Gambir
2,390 sqft · RM 238 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 568,000

RM 238 psf

Median transaction price

Taman Gambir Perdana
© OpenStreetMap · CARTO

Sinmah Builders Sdn Bhd, Jln Sengkang, 84700 Bukit Gambir, Johor Darul Ta'zim, Malaysia

Maps

Taman Gambir Perdana in Tangkak, Johor recorded 3 subsale transactions between 2021 and 2026, with a median price of RM 150K and a median price per square foot (PSF) of RM 110.

This area contains both residential and commercial properties. View 63 residential properties or 7 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 150K, with most transactions falling within a stable range of RM 150K to RM 347K, and a typical market range of RM 150K to RM 434K.

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

Price per square foot shows a median of RM 110, though individual units vary from RM 50 to RM 170 in the core range. The broader market spans RM 44.25 to RM 175.75, indicating diverse property characteristics. A wider spread (IQR: RM 131.50) and deviation (MAD: RM 60) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.