Taman Mawar

12300 Butterworth, Pulau Pinang, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM670,000
PSF
RM428
Period
transactions middle 50% (P25–P75)
1,450 sqft
2-Sty Terrace
RM490,000
Lorong Mawar 2
1,442 sqft · RM340 PSF
1,550 sqft
2-Sty Terrace
RM640,000
Tingkat Mawar1
1,572 sqft · RM407 PSF
1,650 sqft
2-Sty Terrace
RM700,000
Tingkat Mawar 2
1,636 sqft · RM428 PSF
1,700 sqft
2-Sty Terrace
RM760,000
Lintang Mawar 1
1,679 sqft · RM453 PSF
RM725,000
Lintang Mawar 3
1,679 sqft · RM432 PSF
RM500,000
Lintang Mawar 3
1,679 sqft · RM298 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Mawar? Homes here sold for a median of RM670,000.

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Market Snapshot

Residential

RM670,000

RM465 psf

Median transaction price

Taman Mawar
© OpenStreetMap · CARTO

Taman Mawar, 12300 Butterworth, Pulau Pinang, Malaysia

Maps

Taman Mawar in Seberang Perai Utara, Penang recorded 6 subsale transactions between 2021 and 2026, with a median price of RM670K and a median price per square foot (PSF) of RM428.

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 RM670K, with most transactions falling within a stable range of RM598K to RM743K, and a typical market range of RM578K to RM760K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

The median PSF stands at RM428, with core pricing between RM356 and RM499. Market pricing typically extends from RM364.47 to RM491.22, reflecting moderate variation in unit pricing. The spread of RM126.75 (IQR) and deviation of RM72 (MAD) suggest moderate price variations reflecting different property features.

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.