Middleton Condo

Cangkat Minden Jalan 1, Minden Heights, 11700 Gelugor, Pulau Pinang, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM1,635,000
PSF
RM1,160
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Condo
RM1,611,000
Level 12
1,410 sqft · RM1,142 PSF
RM1,637,000
Level 21
1,410 sqft · RM1,161 PSF
RM1,117,000
Level 12
1,410 sqft · RM792 PSF
RM1,644,000
Level 24
1,410 sqft · RM1,166 PSF
RM1,652,000
Level 26
1,410 sqft · RM1,172 PSF
RM1,065,000
Level 8
1,410 sqft · RM755 PSF
RM1,633,000
Level 20
1,410 sqft · RM1,158 PSF
RM1,640,000
Level 23
1,410 sqft · RM1,163 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM1,635,000

RM1,160 psf

Median transaction price

Middleton Condo
© OpenStreetMap · CARTO

Cangkat Minden Jalan 1, Minden Heights, 11700 Gelugor, Pulau Pinang, Malaysia

Maps

Middleton Condo in Timur Laut, Penang recorded 8 subsale transactions in 2024, with a median price of RM1.64 million and a median price per square foot (PSF) of RM1,160.

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 RM1.64 million, with most transactions falling within a stable range of RM1.40 million to RM1.65 million, and a typical market range of RM1.40 million to RM1.65 million.

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

The median PSF stands at RM1,160, with core pricing between RM992 and RM1,327. Market pricing typically extends from RM982.52 to RM1,336.52, reflecting moderate variation in unit pricing. With an IQR of RM354.00 and MAD of RM168, 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.