Taman Senangin

13600 Perai, Pulau Pinang, Malaysia

Property Transactions

6 subsales grouped by size · Semi-D →

Median
RM 409,000
PSF
RM 194
Price Size
1,950 sqft
Semi-D
RM 468,000
Lorong Senangin 9
1,959 sqft · RM 239 PSF
2,000 sqft
Semi-D
RM 330,000
Lorong Senangin 5
1,985 sqft · RM 166 PSF
2,150 sqft
Semi-D
RM 350,000
Lorong Senangin 1
2,161 sqft · RM 162 PSF
RM 500,000
Lorong Senangin 1
2,128 sqft · RM 235 PSF
2,550 sqft
Semi-D
RM 300,000
Lorong Senangin 3
2,528 sqft · RM 119 PSF
2,700 sqft
2-Sty Shop
RM 600,000
Jalan Besar
2,702 sqft · RM 222 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 350,000

RM 166 psf

Median transaction price

Taman Senangin
© OpenStreetMap · CARTO

Taman Senangin, 13600 Perai, Pulau Pinang, Malaysia

Maps

Taman Senangin in Seberang Perai Tengah, Penang recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 409K and a median price per square foot (PSF) of RM 194.

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 409K, with most transactions falling within a stable range of RM 302K to RM 516K, and a typical market range of RM 320K to RM 499K.

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

Price per square foot shows a median of RM 194, though individual units vary from RM 150 to RM 239 in the core range. The broader market spans RM 164.91 to RM 223.41, indicating diverse property characteristics. The spread of RM 58.50 (IQR) and deviation of RM 45 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.