| Price | PSF | Size | Date | Type |
|---|
|
RM590,000
|
RM383
|
1,539 sqft
|
|
|
|
RM550,000
|
RM357
|
1,539 sqft
|
|
|
|
RM800,000
|
RM520
|
1,539 sqft
|
|
|
|
RM580,000
|
RM377
|
1,539 sqft
|
|
|
|
RM800,000
|
RM520
|
1,539 sqft
|
|
|
RM370,000
|
RM409
|
904 sqft
|
|
|
|
RM380,000
|
RM420
|
904 sqft
|
|
|
RM485,000
|
RM315
|
1,539 sqft
|
|
|
|
RM360,000
|
RM398
|
904 sqft
|
|
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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
ResidentialRM517,500
RM430 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 10 subsale transactions between 2021 and 2026, with a median price of RM518K and a median price per square foot (PSF) of RM398.
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 RM518K, with most transactions falling within a stable range of RM375K to RM660K, and a typical market range of RM410K to RM625K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM398, with most transactions between RM370 and RM426. The usual range is RM354.54 to RM441.79, showing that most units are priced quite close to each other. With an IQR of RM87.25 and MAD of RM28, 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.