Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Semanja 2/1
|
RM 870,000
|
RM 414
|
2,099 sqft
|
|
|
|
Jalan Semanja 2/7
|
RM 850,000
|
RM 405
|
2,099 sqft
|
|
|
|
Jalan Semanja 2/3
|
RM 850,000
|
RM 405
|
2,099 sqft
|
|
|
|
Jalan Semanja 2/7
|
RM 800,000
|
RM 381
|
2,099 sqft
|
|
|
|
Jalan Semanja 2/3
|
RM 838,000
|
RM 399
|
2,099 sqft
|
|
|
|
Jalan Semanja 2/1
|
RM 810,000
|
RM 388
|
2,088 sqft
|
|
|
Jalan Semanja 3/10
|
RM 980,000
|
RM 422
|
2,325 sqft
|
|
|
Jalan Semanja 3/7
|
RM 1,260,000
|
RM 450
|
2,799 sqft
|
|
|
Jalan Semanja 3/2
|
RM 2,087,000
|
RM 440
|
4,747 sqft
|
|
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Market Snapshot
ResidentialRM 850,000
RM 405 psfMedian transaction price
15, Jln Semanja 3/9, taman semanja, 43000 Kajang, Selangor, Malaysia
MapsTaman Semanja Kajang in Hulu Langat, Selangor recorded 9 subsale transactions in 2023, with a median price of RM 850K and a median price per square foot (PSF) of RM 405.
This area contains both residential and commercial properties. View 25 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 850K, with most transactions falling within a stable range of RM 800K to RM 1.24 million, and a typical market range of RM 800K to RM 1.08 million.
Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.
For price per square foot, the median is RM 405, with most transactions between RM 384 and RM 426. The usual range is RM 372.96 to RM 436.96, showing that most units are priced quite close to each other. With an IQR of RM 64.00 and MAD of RM 21, the PSF demonstrates reasonable consistency across the market.
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.