Taman Bintang

Sabah, Tawau, Tawau

Property Transactions

11 subsales grouped by size

Period
transactions middle 50% (P25–P75)
2,650 sqft
Terrace
RM420,000
Jalan Apas, Batu 3
2,630 sqft · RM160 PSF
RM400,000
Tb928, Jalan Apas
2,630 sqft · RM152 PSF
RM430,000
Jalan Apas
2,630 sqft · RM164 PSF
RM400,000
Jalan Apas, Batu 3
2,630 sqft · RM152 PSF
RM375,000
Jalan Apas
2,630 sqft · RM143 PSF
4,100 sqft
Semi-D
RM570,000
Jalan Apas
4,090 sqft · RM139 PSF
RM600,000
Jalan Apas
4,090 sqft · RM147 PSF
4,150 sqft
Semi-D
RM600,000
Jalan Apas
4,160 sqft · RM144 PSF
RM475,000
Jalan Apas
4,390 sqft · RM108 PSF
RM400,000
Jalan Apas
4,390 sqft · RM91 PSF
RM550,000
Off Jalan Apas
4,390 sqft · RM125 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM400,000

RM152 psf

Median transaction price

Taman Bintang
© OpenStreetMap · CARTO

Taman Bintang, Tawau, Sabah

Taman Bintang in Tawau, Sabah recorded 11 subsale transactions between 2021 and 2026, with a median price of RM430K and a median price per square foot (PSF) of RM144.

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 RM430K, with most transactions falling within a stable range of RM385K to RM475K, and a typical market range of RM375K to RM510K.

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

For price per square foot, the median is RM144, with most transactions between RM136 and RM152. The usual range is RM134.00 to RM154.00, showing that most units are priced quite close to each other. A typical spread (IQR) of RM20.00 and an average deviation (MAD) of RM8 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.