Taman Riang (Spu)

Taman Riang, 12300 Butterworth, Pulau Pinang, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 1,400,000
PSF
RM 382
Price Size
Period
transactions middle 50% (P25–P75)
2,350 sqft
Semi-D
RM 1,693,000
Jalan Riang
2,336 sqft · RM 725 PSF
3,250 sqft
Semi-D
RM 1,400,000
Lorong Riang
3,250 sqft · RM 431 PSF
4,050 sqft
Semi-D
RM 1,350,000
Jalan Kampung Gajah
4,047 sqft · RM 334 PSF
4,450 sqft
Semi-D
RM 1,400,000
Jalan Kampung Gajah
4,467 sqft · RM 313 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,400,000

RM 382 psf

Median transaction price

Taman Riang (Spu)
© OpenStreetMap · CARTO

Taman Riang, 12300 Butterworth, Pulau Pinang, Malaysia

Maps

Taman Riang (Spu) in Seberang Perai Utara, Penang recorded 4 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 1.40 million and a median price per square foot (PSF) of RM 382.

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 RM 1.40 million, with most transactions falling within a stable range of RM 1.35 million to RM 1.54 million, and a typical market range of RM 1.35 million to RM 1.61 million.

Within the Double Storey Semi-D category, 2 - 2 1/2 storey terraced dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM 382, though individual units vary from RM 218 to RM 547 in the core range. The broader market spans RM 228.42 to RM 535.92, indicating diverse property characteristics. A wider spread (IQR: RM 307.50) and deviation (MAD: RM 164) indicate significant PSF variations, likely due to diverse property types or conditions.

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.