Pulau Li Hua Commercial Centre

1a, Lor Pulau Li Hua 3, Sibu, 96000 Sibu, Sarawak, Malaysia

Property Transactions

7 subsales grouped by size · 2-Sty Shop →

Period
transactions middle 50% (P25–P75)
2,350 sqft
2-Sty Shop
RM 760,000
Jalan Pulau Li Hua
2,368 sqft · RM 321 PSF
RM 760,000
Jalan Pulau Li Hua
2,368 sqft · RM 321 PSF
2,400 sqft
2-Sty Shop
RM 800,000
Jalan Pulau Li Hua
2,422 sqft · RM 330 PSF
RM 770,000
Jalan Pulau Li Hua
2,422 sqft · RM 318 PSF
RM 775,000
Jalan Pulau Li Hua
2,422 sqft · RM 320 PSF
2,600 sqft
2-Sty Shop
RM 750,000
Jalan Pulau Li Hua
2,583 sqft · RM 290 PSF
3,550 sqft
3-Sty Shop
RM 500,000
Blok 19, Jalan Upper Lanang, Sibu
3,541 sqft · RM 141 PSF
Legend Recent Highest Price Highest PSF

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Pulau Li Hua Commercial Centre
© OpenStreetMap · CARTO

1a, Lor Pulau Li Hua 3, Sibu, 96000 Sibu, Sarawak, Malaysia

Maps

Pulau Li Hua Commercial Centre in Bahagian Sibu, Sarawak recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 760K and a median price per square foot (PSF) of RM 320.

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 RM 760K, with most transactions falling within a stable range of RM 750K to RM 770K, and a typical market range of RM 751K to RM 769K.

Most transactions involved 2 - 2 1/2 storey shop, though some variety exists in the market.

For price per square foot, the median is RM 320, with most transactions between RM 308 and RM 332. The usual range is RM 304.25 to RM 335.75, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 31.50 and an average deviation (MAD) of RM 12 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.