Sungai Ara

Jln Sungai Ara 10, Pulau Pinang, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM1,350,000
PSF
RM494
Price Size
Period
transactions middle 50% (P25–P75)
2,750 sqft
Bungalow
RM1,450,000
Lilitan Sungai Ara 17
2,734 sqft · RM530 PSF
RM1,350,000
Lilitan Sungai Ara 17
2,734 sqft · RM494 PSF
2,800 sqft
Bungalow
RM1,100,000
Lintang Sungai Ara 17
2,809 sqft · RM392 PSF
Legend Recent Highest Price Highest PSF

Selling in Sungai Ara? Homes here sold for a median of RM1,350,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Sungai Ara

What’s happening in Sungai Ara?

No posts about Sungai Ara yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM1,350,000

RM494 psf

Median transaction price

Loading map...

Jln Sungai Ara 10, Pulau Pinang, Malaysia

Maps

Sungai Ara in Barat Daya, Penang recorded 3 subsale transactions in 2021, with a median price of RM1.35 million and a median price per square foot (PSF) of RM494.

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 RM1.35 million, with most transactions falling within a stable range of RM1.20 million to RM1.45 million, and a typical market range of RM1.26 million to RM1.44 million.

Most transactions involved detached, with minimal variety in property types.

The median PSF stands at RM494, with core pricing between RM435 and RM553. Market pricing typically extends from RM459.28 to RM528.28, reflecting moderate variation in unit pricing. With an IQR of RM69.00 and MAD of RM59, 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.