Reflections Condominium

Persiaran Nuri, Setia Pearl Island, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM582,000
PSF
RM445
Price Size
Period
transactions middle 50% (P25–P75)
1,250 sqft
Condo
RM595,000
Level 24
1,249 sqft · RM477 PSF
RM450,000
Level 4
1,249 sqft · RM360 PSF
RM505,000
Level 24
1,249 sqft · RM404 PSF
RM569,000
Level 20
1,249 sqft · RM456 PSF
1,400 sqft
Condo
RM628,000
Level 4
1,421 sqft · RM442 PSF
1,450 sqft
Condo
RM660,000
Level 8
1,475 sqft · RM448 PSF
Legend Recent Highest Price Highest PSF

Selling in Reflections Condominium? Homes here sold for a median of RM582,000.

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Market Snapshot

Residential

RM582,000

RM445 psf

Median transaction price

Low

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Reflections Condominium
© OpenStreetMap · CARTO

Persiaran Nuri, Setia Pearl Island, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Reflections Condominium in Barat Daya, Penang recorded 6 subsale transactions between 2021 and 2026, with a median price of RM582K and a median price per square foot (PSF) of RM445.

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 RM582K, with most transactions falling within a stable range of RM510K to RM654K, and a typical market range of RM553K to RM612K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM445, with most transactions between RM407 and RM483. The usual range is RM420.50 to RM469.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM49.00 and an average deviation (MAD) of RM38 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.