Midlands Condo

1, Persiaran Midlands, George Town, 10250 George Town, Pulau Pinang, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM355,000
PSF
RM458
Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Condo
RM318,000
Level 11
764 sqft · RM416 PSF
RM360,000
Level 9
764 sqft · RM471 PSF
RM345,000
Level 20
764 sqft · RM451 PSF
800 sqft
Condo
RM400,000
Level 10
818 sqft · RM489 PSF
RM380,000
Level 18
818 sqft · RM465 PSF
RM380,000
Level 5
818 sqft · RM465 PSF
RM350,000
Level 16
818 sqft · RM428 PSF
850 sqft
Condo
RM350,000
Level 16
829 sqft · RM422 PSF
Legend Recent Highest Price Highest PSF

Selling in Midlands Condo? Homes here sold for a median of RM355,000.

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Market Snapshot

Residential

RM355,000

RM458 psf

Median transaction price

Average

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1, Persiaran Midlands, George Town, 10250 George Town, Pulau Pinang, Malaysia

Maps

Midlands Condo in Timur Laut, Penang recorded 8 subsale transactions between 2021 and 2026, with a median price of RM355K and a median price per square foot (PSF) of RM458.

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 RM355K, with most transactions falling within a stable range of RM331K to RM379K, and a typical market range of RM335K to RM375K.

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

For price per square foot, the median is RM458, with most transactions between RM434 and RM482. The usual range is RM443.47 to RM472.47, showing that most units are priced quite close to each other. A typical spread (IQR) of RM29.00 and an average deviation (MAD) of RM24 indicate a highly stable PSF trend across properties.

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.