Penang Times Square - Birch Regency

Birch Regency, Times Square, 10150 George Town, Penang, Malaysia

Property Transactions

9 subsales grouped by size

Median
RM570,000
PSF
RM600
Price Size
Period
transactions middle 50% (P25–P75)
950 sqft
Condo
RM630,000
Level 7
950 sqft · RM663 PSF
RM600,000
Level 6
950 sqft · RM632 PSF
RM485,000
Level 6
950 sqft · RM511 PSF
RM580,000
Level 19
950 sqft · RM611 PSF
RM570,000
Level 19
950 sqft · RM600 PSF
RM490,000
Level 7
950 sqft · RM516 PSF
+3 more
Legend Recent Highest Price Highest PSF

Selling in Penang Times Square - Birch Regency? Homes here sold for a median of RM570,000.

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Market Snapshot

Residential

RM570,000

RM600 psf

Median transaction price

Penang Times Square - Birch Regency
© OpenStreetMap · CARTO

Birch Regency, Times Square, 10150 George Town, Penang, Malaysia

Maps

Penang Times Square - Birch Regency in Timur Laut, Penang recorded 9 subsale transactions between 2021 and 2026, sized between 925 and 974 sqft, with a median price of RM570K and a median price per square foot (PSF) of RM600.

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 RM570K, with most transactions falling within a stable range of RM525K to RM615K, and a typical market range of RM529K to RM611K.

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

For price per square foot, the median is RM600, with most transactions between RM553 and RM647. The usual range is RM536.24 to RM663.74, showing that most units are priced quite close to each other. With an IQR of RM127.50 and MAD of RM47, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.