| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Cermat
|
RM 1,130,000
|
RM 795
|
1,421 sqft
|
|
|
|
Jalan Cermat 4
|
RM 600,000
|
RM 422
|
1,421 sqft
|
|
|
|
Jalan Cermat 3
|
RM 550,000
|
RM 387
|
1,421 sqft
|
|
|
|
Jalan Cermat 3
|
RM 560,000
|
RM 394
|
1,421 sqft
|
|
|
Jalan Nilam 7
|
RM 370,000
|
RM 210
|
1,765 sqft
|
|
|
|
Jalan Nilam 7
|
RM 330,000
|
RM 187
|
1,765 sqft
|
|
|
Jalan Nilam 9
|
RM 350,000
|
RM 159
|
2,196 sqft
|
|
|
Jalan Nilam 1
|
RM 520,000
|
RM 189
|
2,756 sqft
|
|
|
Jalan Maju
|
RM 1,680,000
|
RM 482
|
3,488 sqft
|
|
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Market Snapshot
RM 555,000
RM 391 psfMedian transaction price
RM 520,000
RM 189 psfMedian transaction price
Taman Maju Jaya, 80400 Johor Bahru, Johor Darul Ta'zim, Malaysia
MapsTaman Maju Jaya in Johor Bahru, Johor recorded 9 subsale transactions in 2022, with a median price of RM 550K and a median price per square foot (PSF) of RM 387.
This area contains both residential and commercial properties. View 17 residential properties or 8 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 550K, with most transactions falling within a stable range of RM 330K to RM 971K, and a typical market range of RM 359K to RM 741K.
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 387, though individual units vary from RM 195 to RM 579 in the core range. The broader market spans RM 283.09 to RM 491.09, indicating diverse property characteristics. A wider spread (IQR: RM 208.00) and deviation (MAD: RM 192) 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.