Setia Pinnacle

22, Changkat Sungai Ara 6, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

17 subsales grouped by size

Median
RM550,000
PSF
RM511
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
Condo
RM600,000
Level 37
1,076 sqft · RM557 PSF
RM635,000
Level 21
1,076 sqft · RM590 PSF
RM550,000
Level 18
1,076 sqft · RM511 PSF
RM570,000
Level 22
1,076 sqft · RM530 PSF
RM500,000
Level 25
1,076 sqft · RM465 PSF
RM535,000
Level 24
1,076 sqft · RM497 PSF
+11 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM550,000

RM511 psf

Median transaction price

Low

Does SETIA PINNACLE rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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22, Changkat Sungai Ara 6, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Setia Pinnacle in Barat Daya, Penang recorded 17 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM550K and a median price per square foot (PSF) of RM511.

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 RM550K, with most transactions falling within a stable range of RM502K to RM598K, and a typical market range of RM483K to RM617K.

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

For price per square foot, the median is RM511, with most transactions between RM467 and RM555. The usual range is RM484.47 to RM537.47, showing that most units are priced quite close to each other. With an IQR of RM53.00 and MAD of RM44, the PSF demonstrates reasonable consistency across the market.

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.