Ratu Mutiara (Taman Ratu)

Ratu Mutiara, 11200 Tanjung Bungah, Pulau Pinang, Malaysia

Property Transactions

8 subsales grouped by size · Condo →

Median
RM 487,500
PSF
RM 523
Price Size
800 sqft
Condo
RM 380,000
Level 20
807 sqft · RM 471 PSF
RM 465,000
Level 8
807 sqft · RM 576 PSF
850 sqft
Condo
RM 418,000
Level 11
829 sqft · RM 504 PSF
950 sqft
Condo
RM 450,000
Level 20
926 sqft · RM 486 PSF
RM 510,000
Level 8
926 sqft · RM 551 PSF
1,050 sqft
Condo
RM 555,000
Level 6
1,055 sqft · RM 526 PSF
1,150 sqft
Condo
RM 610,000
Level 26
1,173 sqft · RM 520 PSF
1,300 sqft
Condo
RM 700,000
Level 15
1,324 sqft · RM 529 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 487,500

RM 523 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 8 subsale transactions in 2023, with a median price of RM 488K and a median price per square foot (PSF) of RM 523.

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 488K, with most transactions falling within a stable range of RM 388K to RM 587K, and a typical market range of RM 415K to RM 560K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM 523, with most transactions between RM 491 and RM 555. The usual range is RM 476.28 to RM 569.78, showing that most units are priced quite close to each other. With an IQR of RM 93.50 and MAD of RM 32, the PSF demonstrates reasonable consistency across the market.

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.