Flora Damansara
47820 Petaling Jaya, Selangor, Malaysia
47820 Petaling Jaya, Selangor, Malaysia
Flora Damansara uses postcode 47820, shared with 23 other areas.
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level LG
|
RM200,000
|
RM250
|
800 sqft
|
|
|
|
Level LG
|
RM210,000
|
RM263
|
800 sqft
|
|
|
|
Level LG
|
RM220,000
|
RM275
|
800 sqft
|
|
Selling in Flora Damansara? Homes here sold for a median of RM210,000.
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Flora Damansara
Marketplace listings
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 Sungai Buluh
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Does FLORA DAMANSARA 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
Flora Damansara, 47820 Petaling Jaya, Selangor, Malaysia
MapsFlora Damansara in Petaling, Selangor recorded 3 subsale transactions between 2021 and 2026, with a median price of RM210K and a median price per square foot (PSF) of RM263.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM210K, with most transactions falling within a stable range of RM200K to RM220K, and a typical market range of RM205K to RM215K.
Most transactions involved shop unit/retail lot, with minimal variety in property types.
For price per square foot, the median is RM263, with most transactions between RM251 and RM275. The usual range is RM256.26 to RM268.76, showing that most units are priced quite close to each other. A typical spread (IQR) of RM12.50 and an average deviation (MAD) of RM12 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.