| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Nilam 4/1
|
RM 420,000
|
RM 296
|
1,421 sqft
|
|
|
Jalan Nilam 2
|
RM 360,000
|
RM 251
|
1,432 sqft
|
|
|
|
Jalan Nilam 4
|
RM 395,000
|
RM 276
|
1,432 sqft
|
|
|
|
Jalan Nilam 6
|
RM 350,000
|
RM 244
|
1,432 sqft
|
|
|
Jalan Nilam 6
|
RM 432,000
|
RM 281
|
1,539 sqft
|
|
|
Jalan Nilam 11
|
RM 318,000
|
RM 191
|
1,668 sqft
|
|
|
Jalan Nilam 2
|
RM 350,000
|
RM 177
|
1,981 sqft
|
|
|
Jalan Nilam 1
|
RM 390,000
|
RM 179
|
2,174 sqft
|
|
|
Jalan Nilam 3
|
RM 300,000
|
RM 111
|
2,713 sqft
|
|
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Market Snapshot
RM 355,000
RM 248 psfMedian transaction price
RM 390,000
RM 179 psfMedian transaction price
Taman Nilam, 82000 Pontian, Johor Darul Ta'zim, Malaysia
MapsTaman Nilam in Pontian, Johor recorded 9 subsale transactions between 2021 and 2026, sized between 1,000 and 3,000 sqft, with a median price of RM 360K and a median price per square foot (PSF) of RM 244.
This area contains both residential and commercial properties. View 21 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 360K, with most transactions falling within a stable range of RM 318K to RM 402K, and a typical market range of RM 300K to RM 432K.
Most transactions involved low-cost house, with high diversity across multiple property types.
Price per square foot shows a median of RM 244, though individual units vary from RM 186 to RM 303 in the core range. The broader market spans RM 198.48 to RM 290.48, indicating diverse property characteristics. The spread of RM 92.00 (IQR) and deviation of RM 58 (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.