Bellisa Row

Jalan Burma, Pulau Tikus, 10350 George Town, Penang, Malaysia

Property Transactions

6 subsales grouped by size · Office →

Median
RM400,000
PSF
RM494
Period
transactions middle 50% (P25–P75)
350 sqft
Shop
RM235,000
Level 5
344 sqft · RM682 PSF
RM170,000
Level 5
344 sqft · RM494 PSF
950 sqft
Office
RM380,000
Level 4
936 sqft · RM406 PSF
1,100 sqft
Office
RM420,000
Level 3
1,087 sqft · RM386 PSF
RM670,000
Level 2
1,087 sqft · RM616 PSF
2,050 sqft
Office
RM800,000
Level 4
2,034 sqft · RM393 PSF
Legend Recent Highest Price Highest PSF

Posts about Bellisa Row

What’s happening in Bellisa Row?

No posts about Bellisa Row yet. Be the first to share what’s happening here.

Property News

More property news →

Market Snapshot

Commercial

RM400,000

RM450 psf

Median transaction price

Bellisa Row
© OpenStreetMap · CARTO

Bellisa Row, Jalan Burma, Pulau Tikus, 10350 George Town, Penang, Malaysia

Maps

Bellisa Row in Timur Laut, Penang recorded 6 subsale transactions between 2021 and 2026, with a median price of RM400K and a median price per square foot (PSF) of RM494.

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

Price remained flat, and PSF growth was PSF remained flat. The median price is RM400K, with most transactions falling within a stable range of RM203K to RM598K, and a typical market range of RM232K to RM568K.

Most transactions involved office lot, though some variety exists in the market.

The median PSF stands at RM494, with core pricing between RM433 and RM554. Market pricing typically extends from RM398.92 to RM588.17, reflecting moderate variation in unit pricing. With an IQR of RM189.25 and MAD of RM61, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.