Taman Desa Jelita

Desa Jelita, 11960 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

10 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
500 sqft
Flat
RM170,000
Level 1
500 sqft · RM340 PSF
RM135,000
Level 2
500 sqft · RM270 PSF
700 sqft
Flat
RM260,000
Level 4
700 sqft · RM372 PSF
RM180,000
Level 4
700 sqft · RM257 PSF
RM280,000
Level G
700 sqft · RM400 PSF
RM240,000
Level 1
700 sqft · RM343 PSF
RM230,000
Level 8
700 sqft · RM329 PSF
RM167,000
Level 7
700 sqft · RM239 PSF
RM220,000
Level 5
700 sqft · RM314 PSF
RM165,000
Level 6
700 sqft · RM236 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM200,000

RM322 psf

Median transaction price

Taman Desa Jelita
© OpenStreetMap · CARTO

Desa Jelita, 11960 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Taman Desa Jelita in Barat Daya, Penang recorded 10 Flat properties subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM322.

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 RM200K, with most transactions falling within a stable range of RM155K to RM245K, and a typical market range of RM152K to RM248K.

Within the Flat category, flats dominated the market, with moderate diversity in property types available.

The median PSF stands at RM322, with core pricing between RM268 and RM376. Market pricing typically extends from RM282.22 to RM360.97, reflecting moderate variation in unit pricing. The spread of RM78.75 (IQR) and deviation of RM54 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.