| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Intan 7
|
RM50,000
|
RM42
|
1,195 sqft
|
|
|
|
Jalan Intan 7
|
RM50,000
|
RM42
|
1,195 sqft
|
|
|
Jalan Intan 7
|
RM54,000
|
RM36
|
1,496 sqft
|
|
|
Jalan Intan 4
|
RM378,000
|
RM214
|
1,765 sqft
|
|
|
Jalan Intan 6
|
RM418,000
|
RM193
|
2,164 sqft
|
|
|
Jalan Intan 7
|
RM62,000
|
RM28
|
2,209 sqft
|
|
Selling in Taman Intan, Labis? Homes here sold for a median of RM54,000.
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Labis
Market Snapshot
ResidentialRM54,000
RM42 psfMedian transaction price
Taman Intan, 85200 Jementah, Johor Darul Ta'zim, Malaysia
MapsTaman Intan, Labis in Segamat, Johor recorded 7 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM54K and a median price per square foot (PSF) of RM42.
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 RM54K, with most transactions falling within a stable range of RM50K to RM210K, and a typical market range of RM50K to RM69K.
Within the Single Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.
Price per square foot shows a median of RM42, though individual units vary from RM0 to RM116 in the core range. The broader market spans RM26.60 to RM57.10, indicating diverse property characteristics. A wider spread (IQR: RM30.50) and deviation (MAD: RM74) 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.