Taman Sri Nibong

Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

13 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM470,000
Level G
958 sqft RM491 PSF
RM420,000
Level 2
936 sqft RM448 PSF
RM495,000
Level G
958 sqft RM517 PSF
RM405,000
Level 1
947 sqft RM428 PSF
RM410,000
Level 2
958 sqft RM428 PSF
RM450,000
Level 4
969 sqft RM465 PSF
RM500,000
Level 1
969 sqft RM516 PSF
RM480,000
Level 3
958 sqft RM501 PSF
RM270,000
Level 4
947 sqft RM285 PSF
RM485,000
Level 1
936 sqft RM518 PSF
RM300,000
Level 3
936 sqft RM320 PSF
RM400,000
Level 3
936 sqft RM427 PSF
RM330,000
Level 4
947 sqft RM348 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM420,000

RM448 psf

Median transaction price

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Taman Sri Nibong, Bayan Lepas, Pulau Pinang, Malaysia

Maps

Taman Sri Nibong in Barat Daya, Penang recorded 13 subsale transactions between 2021 and 2026, sized between 925 and 974 sqft, with a median price of RM420K and a median price per square foot (PSF) of RM448.

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 RM420K, with most transactions falling within a stable range of RM347K to RM493K, and a typical market range of RM270K to RM500K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM448, with core pricing between RM374 and RM522. Market pricing typically extends from RM338.75 to RM557.25, reflecting moderate variation in unit pricing. The spread of RM218.50 (IQR) and deviation of RM74 (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.