Bayu Nyaman

11900 Bayan Lepas, Penang, Malaysia

Property Transactions

16 subsales found

Median
RM250,000
PSF
RM368
Period
transactions middle 50% (P25–P75)
RM265,000
Level 25
686 sqft RM386 PSF
RM250,000
Level 21
680 sqft RM368 PSF
RM280,000
Level 20
678 sqft RM413 PSF
RM250,000
Level 8
680 sqft RM368 PSF
RM240,000
Level 24
686 sqft RM350 PSF
RM260,000
Level 17
678 sqft RM384 PSF
RM270,000
Level 17
678 sqft RM398 PSF
RM180,000
Level 19
686 sqft RM262 PSF
RM255,000
Level 20
686 sqft RM372 PSF
RM260,000
Level 20
678 sqft RM384 PSF
RM180,000
Level 7
678 sqft RM266 PSF
RM190,000
Level 13
678 sqft RM280 PSF
RM220,000
Level 5
678 sqft RM325 PSF
RM250,000
Level 6
678 sqft RM369 PSF
RM200,000
Level 21
686 sqft RM292 PSF
RM200,000
Level 25
678 sqft RM295 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM250,000

RM368 psf

Median transaction price

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11900 Bayan Lepas, Penang, Malaysia

Maps

Bayu Nyaman in Barat Daya, Penang recorded 16 subsale transactions between 2021 and 2026, with a median price of RM250K and a median price per square foot (PSF) of RM368.

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 RM250K, with most transactions falling within a stable range of RM233K to RM268K, and a typical market range of RM220K to RM280K.

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

For price per square foot, the median is RM368, with most transactions between RM344 and RM392. The usual range is RM322.74 to RM412.49, showing that most units are priced quite close to each other. With an IQR of RM89.75 and MAD of RM24, 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.