Taman Desa Genting

11000 Balik Pulau, Pulau Pinang, Malaysia

Property Transactions

14 subsales grouped by size

Median
RM163,500
PSF
RM313
Period
transactions middle 50% (P25–P75)
500 sqft
LC Flat
RM160,000
Level 2
484 sqft · RM330 PSF
RM155,000
Level 4
495 sqft · RM313 PSF
RM220,000
Level 1
495 sqft · RM444 PSF
RM210,000
Level G
495 sqft · RM424 PSF
RM167,000
Level 3
495 sqft · RM337 PSF
RM200,000
Level 1
500 sqft · RM400 PSF
+4 more
650 sqft
LC Flat
RM150,000
Level G
667 sqft · RM225 PSF
RM200,000
Level G
657 sqft · RM305 PSF
RM180,000
Level 6
667 sqft · RM270 PSF
RM200,000
Level 5
667 sqft · RM300 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in G

Market Snapshot

Residential

RM163,500

RM309 psf

Median transaction price

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Taman Desa Genting, 11000 Balik Pulau, Pulau Pinang, Malaysia

Maps

Taman Desa Genting in Barat Daya, Penang recorded 14 subsale transactions between 2021 and 2026, with a median price of RM164K and a median price per square foot (PSF) of RM313.

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 RM164K, with most transactions falling within a stable range of RM149K to RM179K, and a typical market range of RM140K to RM188K.

Most transactions involved low-cost flat, with minimal variety in property types.

For price per square foot, the median is RM313, with most transactions between RM290 and RM337. The usual range is RM295.75 to RM330.25, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.50 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.