Taman Saujana Palma
Taman Jenaris, 43000 Kajang, Selangor, Malaysia
Taman Jenaris, 43000 Kajang, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level G
|
RM290,000
|
RM325
|
893 sqft
|
|
|
|
Level G
|
RM325,000
|
RM361
|
900 sqft
|
|
|
|
Level G
|
RM320,000
|
RM358
|
893 sqft
|
|
|
Level G
|
RM362,000
|
RM378
|
958 sqft
|
|
|
|
Level G
|
RM350,000
|
RM361
|
969 sqft
|
|
|
Jalan S/P 6
|
RM1,280,000
|
RM456
|
2,809 sqft
|
|
|
Jalan S P 5
|
RM1,550,000
|
RM422
|
3,670 sqft
|
|
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Taman Saujana Palma
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 Bandar Kajang
Market Snapshot
ResidentialRM350,000
RM361 psfMedian transaction price
Taman Saujana Palma, Taman Jenaris, 43000 Kajang, Selangor, Malaysia
MapsTaman Saujana Palma in Hulu Langat, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM350K and a median price per square foot (PSF) of RM361.
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 RM350K, with most transactions falling within a stable range of RM320K to RM380K, and a typical market range of RM290K to RM599K.
Most transactions involved town house, though some variety exists in the market.
For price per square foot, the median is RM361, with most transactions between RM344 and RM378. The usual range is RM341.04 to RM381.54, showing that most units are priced quite close to each other. A typical spread (IQR) of RM40.50 and an average deviation (MAD) of RM17 indicate a highly stable PSF trend across properties.
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.