The Oasis

Jalan Kaki Bukit, Kampung Kastam, 11700 Gelugor, Pulau Pinang, Malaysia

Property Transactions

1 subsales grouped by size

Median
RM780,000
PSF
RM614
Price Size
Period
transactions middle 50% (P25–P75)
1,250 sqft
2-Sty Terrace
RM780,000
Lorong Kaki Bukit
1,270 sqft · RM614 PSF
Legend Recent Highest Price Highest PSF

Selling in The Oasis? Homes here sold for a median of RM780,000.

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

List your property free

Posts about The Oasis

What’s happening in The Oasis?

No posts about The Oasis yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM780,000

RM614 psf

Median transaction price

Low

Know your return before you buy

See the gross rental yield for THE OASIS and compare before you put down a deposit.

Get Plus

RM59 a month, cancel any time

Loading map...

Jalan Kaki Bukit, Kampung Kastam, 11700 Gelugor, Pulau Pinang, Malaysia

Maps

The Oasis in Timur Laut, Penang recorded 1 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM780K and a median price per square foot (PSF) of RM614.

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

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

Within the Double Storey Terraced category, condominium/apartment dominated the market, with minimal variety in property types.

For price per square foot, the median is RM614, with most transactions between RM614 and RM614. The usual range is RM554.49 to RM673.74, showing that most units are priced quite close to each other. With an IQR of RM119.25 and MAD of RM0, 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.