Ferringhi Residence 2

Persiaran Sungai Emas, 11100 Batu Ferringhi, Pulau Pinang, Malaysia

Property Transactions

1 subsales grouped by size

Median
RM1,000,000
PSF
RM641
Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
Condo
RM1,000,000
Level 16
1,561 sqft · RM641 PSF
Legend Recent Highest Price Highest PSF

Selling in Ferringhi Residence 2? Homes here sold for a median of RM1,000,000.

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

List your property free

Posts about Ferringhi Residence 2

What’s happening in Ferringhi Residence 2?

No posts about Ferringhi Residence 2 yet. Be the first to share what’s happening here.

Low

Does FERRINGHI RESIDENCE 2 rent out well?

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

See the yield with Plus

RM59 a month, cancel any time

Loading map...

Persiaran Sungai Emas, 11100 Batu Ferringhi, Pulau Pinang, Malaysia

Maps

Ferringhi Residence 2 in Timur Laut, Penang recorded 1 subsale transactions between 2021 and 2026, sized between 1,525 and 1,574 sqft, with a median price of RM1.00 million and a median price per square foot (PSF) of RM641.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

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

For price per square foot, the median is RM641, with most transactions between RM641 and RM641. The usual range is RM632.50 to RM649.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM17.00 and an average deviation (MAD) of RM0 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.