Ratu Mutiara (Taman Ratu)

Ratu Mutiara, 11200 Tanjung Bungah, Pulau Pinang, Malaysia

Property Transactions

11 subsales grouped by size

Median
RM 42,000
PSF
RM 59
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
LC Flat
RM 42,000
Level 2
710 sqft · RM 59 PSF
RM 42,000
Level 1
710 sqft · RM 59 PSF
RM 42,000
Level 2
710 sqft · RM 59 PSF
RM 42,000
Level 4
710 sqft · RM 59 PSF
RM 42,000
Level 2
710 sqft · RM 59 PSF
RM 42,000
Level 3
710 sqft · RM 59 PSF
+3 more
1,200 sqft
Condo
RM 620,000
Level 6
1,206 sqft · RM 514 PSF
1,250 sqft
Condo
RM 560,000
Level 18
1,238 sqft · RM 452 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 42,000

RM 59 psf

Median transaction price

Ratu Mutiara (Taman Ratu)
© OpenStreetMap · CARTO

Ratu Mutiara, 11200 Tanjung Bungah, Pulau Pinang, Malaysia

Maps

Ratu Mutiara (Taman Ratu) in Timur Laut, Penang recorded 11 subsale transactions in 2022, with a median price of RM 42K and a median price per square foot (PSF) of RM 59.

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 42K, with most transactions falling within a stable range of RM 42K to RM 254K, and a typical market range of RM 42K to RM 286K.

Most transactions involved low-cost flat, though some variety exists in the market.

Price per square foot shows a median of RM 59, though individual units vary from RM 0 to RM 223 in the core range. The broader market spans RM 0.00 to RM 243.62, indicating diverse property characteristics. A wider spread (IQR: RM 369.00) and deviation (MAD: RM 164) indicate significant PSF variations, likely due to diverse property types or conditions.

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.