Persiaran Gurney

10250, Pulau Pinang, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM1,250,000
PSF
RM811
Period
transactions middle 50% (P25–P75)
1,250 sqft
Condo
RM990,000
Level 16
1,270 sqft · RM779 PSF
1,450 sqft
Condo
RM1,250,000
Level 25
1,453 sqft · RM860 PSF
1,600 sqft
Condo
RM1,400,000
Level 23
1,582 sqft · RM885 PSF
1,700 sqft
Condo
RM1,380,000
Level 27
1,701 sqft · RM811 PSF
1,800 sqft
Condo
RM1,130,000
Level 13
1,808 sqft · RM625 PSF
RM1,000,000
Level 8
1,819 sqft · RM550 PSF
RM1,700,000
Level 19
1,819 sqft · RM935 PSF
Legend Recent Highest Price Highest PSF

Posts about Persiaran Gurney

What’s happening in Persiaran Gurney?

No posts about Persiaran Gurney yet. Be the first to share what’s happening here.

Loading map...

Persiaran Gurney, 10250, Pulau Pinang, Malaysia

Maps

Persiaran Gurney in Timur Laut, Penang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM1.25 million and a median price per square foot (PSF) of RM811.

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 RM1.25 million, with most transactions falling within a stable range of RM1.10 million to RM1.40 million, and a typical market range of RM1.09 million to RM1.41 million.

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

For price per square foot, the median is RM811, with most transactions between RM737 and RM885. The usual range is RM726.18 to RM896.68, showing that most units are priced quite close to each other. With an IQR of RM170.50 and MAD of RM74, 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.