Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 21
|
RM 486,000
|
RM 562
|
865 sqft
|
|
|
|
Level 23
|
RM 488,000
|
RM 564
|
865 sqft
|
|
|
|
Level 25
|
RM 497,000
|
RM 575
|
865 sqft
|
|
|
Level 25
|
RM 759,000
|
RM 522
|
1,453 sqft
|
|
|
|
Level 11
|
RM 470,000
|
RM 322
|
1,460 sqft
|
|
|
Level 9
|
RM 490,000
|
RM 330
|
1,486 sqft
|
|
|
Level 9
|
RM 550,000
|
RM 354
|
1,552 sqft
|
|
|
|
Level 8
|
RM 520,000
|
RM 335
|
1,552 sqft
|
|
|
Jalan Sri Plentong 10
|
RM 2,800,000
|
RM 164
|
17,104 sqft
|
|
|
|
Jalan Sri Plentong 10
|
RM 3,000,000
|
RM 175
|
17,104 sqft
|
|
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Market Snapshot
CommercialRM 2,900,000
RM 170 psfMedian transaction price
Taman Perindustrian Plentong, 81750 Masai, Johor Darul Ta'zim, Malaysia
MapsTaman Perindustrian Plentong in Johor Bahru, Johor recorded 10 subsale transactions in 2022, with a median price of RM 509K and a median price per square foot (PSF) of RM 345.
This area contains both residential and commercial properties. View 17 residential properties or 9 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 509K, with most transactions falling within a stable range of RM 470K to RM 1.46 million, and a typical market range of RM 470K to RM 759K.
Most transactions involved serviced apartment, with moderate diversity in property types available.
Price per square foot shows a median of RM 345, though individual units vary from RM 196 to RM 494 in the core range. The broader market spans RM 299.61 to RM 389.86, indicating diverse property characteristics. A wider spread (IQR: RM 90.25) and deviation (MAD: RM 149) 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.