| LIST.MY · Taman Bidara | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Bidara 5
|
RM370,000
|
RM409
|
904 sqft
|
|
2-Sty Terrace |
| 2023 | |||||
|
Jalan Bidara 3
|
RM360,000
|
RM398
|
904 sqft
|
|
2-Sty Terrace |
| 2022 | |||||
|
Jalan Bidara 5
|
RM380,000
|
RM420
|
904 sqft
|
|
2-Sty Terrace |
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Taman Bidara
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 Kajang
Market Snapshot
ResidentialRM370,000
RM409 psfMedian transaction price
Does TAMAN BIDARA rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
See the yield with PlusRM59 a month, cancel any time
Taman Bidara, 43000 Kajang, Selangor, Malaysia
MapsTaman Bidara in Hulu Langat, Selangor recorded 3 subsale transactions between 2021 and 2026, sized between 875 and 924 sqft, with a median price of RM370K and a median price per square foot (PSF) of RM409.
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 RM370K, with most transactions falling within a stable range of RM362K to RM378K, and a typical market range of RM360K to RM380K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM409, with most transactions between RM400 and RM418. The usual range is RM365.60 to RM452.85, showing that most units are priced quite close to each other. With an IQR of RM87.25 and MAD of RM9, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.