Reflections Condominium
Persiaran Nuri, Setia Pearl Island, 11900 Bayan Lepas, Pulau Pinang, Malaysia
Persiaran Nuri, Setia Pearl Island, 11900 Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 9
|
RM620,000
|
RM497
|
1,249 sqft
|
|
|
|
Level 11
|
RM600,000
|
RM481
|
1,249 sqft
|
|
|
|
Level 23
|
RM580,000
|
RM465
|
1,249 sqft
|
|
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Reflections Condominium
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 12
Market Snapshot
ResidentialRM600,000
RM481 psfMedian transaction price
Does REFLECTIONS CONDOMINIUM 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
Persiaran Nuri, Setia Pearl Island, 11900 Bayan Lepas, Pulau Pinang, Malaysia
MapsReflections Condominium in Barat Daya, Penang recorded 3 subsale transactions in 2022, with a median price of RM600K and a median price per square foot (PSF) of RM481.
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 RM600K, with most transactions falling within a stable range of RM584K to RM616K, and a typical market range of RM580K to RM620K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM481, with most transactions between RM467 and RM494. The usual range is RM456.03 to RM505.03, showing that most units are priced quite close to each other. A typical spread (IQR) of RM49.00 and an average deviation (MAD) of RM13 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.