Nipah Emas

60, Lebuhraya Nipah, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM240,000
PSF
RM429

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
500 sqft
LC Flat
RM240,000
Level 3
495 sqft · RM485 PSF
RM200,000
Level 3
495 sqft · RM404 PSF
RM190,000
Level 5
495 sqft · RM384 PSF
RM200,000
Level 7
495 sqft · RM404 PSF
700 sqft
Flat
RM340,000
Level 20
700 sqft · RM486 PSF
RM380,000
Level 19
700 sqft · RM543 PSF
RM300,000
Level 12
700 sqft · RM429 PSF
Legend Recent Highest Price Highest PSF

Posts about Nipah Emas

What’s happening in Nipah Emas?

No posts about Nipah Emas yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM240,000

RM429 psf

Median transaction price

Nipah Emas
© OpenStreetMap · CARTO

Nipah Emas, 60, Lebuhraya Nipah, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Nipah Emas in Timur Laut, Penang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM240K and a median price per square foot (PSF) of RM429.

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 RM240K, with most transactions falling within a stable range of RM190K to RM310K, and a typical market range of RM190K to RM315K.

Most transactions involved flats, though some variety exists in the market.

The median PSF stands at RM429, with core pricing between RM375 and RM483. Market pricing typically extends from RM380.79 to RM476.79, reflecting moderate variation in unit pricing. With an IQR of RM96.00 and MAD of RM54, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.