Taman Sentosa

Jalan Bukit Baru, Melaka, Malaysia

Property Transactions

7 subsales grouped by size

Period
transactions middle 50% (P25–P75)
2,700 sqft
Semi-D
RM880,000
Jalan Penghulu Abbas
2,702 sqft · RM326 PSF
3,700 sqft
Semi-D
RM800,000
Jalan Sentosa 13
3,724 sqft · RM215 PSF
3,800 sqft
Semi-D
RM750,000
Jalan Sentosa
3,789 sqft · RM198 PSF
4,000 sqft
Semi-D
RM650,000
Jalan Sentosa
4,005 sqft · RM162 PSF
6,600 sqft
Bungalow
RM2,250,000
Jalan Sentosa
6,577 sqft · RM342 PSF
7,550 sqft
Bungalow
RM1,250,000
Jalan Sentosa
7,536 sqft · RM166 PSF
7,850 sqft
Bungalow
RM1,670,000
Jalan Sentosa
7,841 sqft · RM213 PSF
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Market Snapshot

Residential

RM880,000

RM213 psf

Median transaction price

Average

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Taman Sentosa
© OpenStreetMap · CARTO

Jalan Bukit Baru, Melaka, Malaysia

Maps

Taman Sentosa in Melaka Tengah, Melaka recorded 7 subsale transactions between 2021 and 2026, with a median price of RM880K and a median price per square foot (PSF) of RM213.

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 RM880K, with most transactions falling within a stable range of RM650K to RM1.11 million, and a typical market range of RM650K to RM1.22 million.

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

Price per square foot shows a median of RM213, though individual units vary from RM166 to RM260 in the core range. The broader market spans RM168.74 to RM257.24, indicating diverse property characteristics. The spread of RM88.50 (IQR) and deviation of RM47 (MAD) suggest moderate price variations reflecting different property features.

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.