Azuria Condominium

No. 1, 8-3, Tanjung Tokong, 11200 Tanjung Bungah, Pulau Pinang, Malaysia

Property Transactions

9 subsales grouped by size · Flat →

Median
RM 310,000
PSF
RM 450
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Flat
RM 370,000
Level 4
689 sqft · RM 537 PSF
RM 275,000
Level 8
689 sqft · RM 399 PSF
RM 370,000
Level 8
689 sqft · RM 537 PSF
RM 310,000
Level 10
689 sqft · RM 450 PSF
RM 380,000
Level 2
689 sqft · RM 552 PSF
RM 255,000
Level 4
700 sqft · RM 364 PSF
+3 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 310,000

RM 450 psf

Median transaction price

Average

Rental Yield Data

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Azuria Condo
© OpenStreetMap · CARTO

Azuria Condominium, No. 1, 8-3, Tanjung Tokong, 11200 Tanjung Bungah, Pulau Pinang, Malaysia

Maps

Azuria Condominium in Timur Laut, Penang recorded 9 subsale transactions in 2023, with a median price of RM 310K and a median price per square foot (PSF) of RM 450.

This area contains both residential and commercial properties. View 40 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 310K, with most transactions falling within a stable range of RM 262K to RM 358K, and a typical market range of RM 273K to RM 348K.

Most transactions involved flats, with minimal variety in property types.

The median PSF stands at RM 450, with core pricing between RM 379 and RM 521. Market pricing typically extends from RM 399.00 to RM 501.00, reflecting moderate variation in unit pricing. The spread of RM 102.00 (IQR) and deviation of RM 71 (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.