Taman Nyaman Indah

6, Pulau Pinang, Malaysia

Property Transactions

17 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM600,000
1,787 sqft
RM336 PSF
RM650,000
1,787 sqft
RM364 PSF
RM900,000
1,755 sqft
RM513 PSF
RM740,000
1,755 sqft
RM422 PSF
RM900,000
3,025 sqft
RM298 PSF · Semi-D
RM730,000
2,486 sqft
RM294 PSF · 2-Sty Terrace
RM580,000
1,808 sqft
RM321 PSF
RM680,000
1,808 sqft
RM376 PSF
RM550,000
1,755 sqft
RM313 PSF
RM750,000
1,808 sqft
RM415 PSF
RM550,000
1,755 sqft
RM313 PSF
RM680,000
1,399 sqft
RM486 PSF
RM820,000
1,755 sqft
RM467 PSF
RM780,000
1,787 sqft
RM437 PSF
RM700,000
1,808 sqft
RM387 PSF
RM803,000
2,669 sqft
RM301 PSF
RM740,000
2,196 sqft
RM337 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM730,000

RM400 psf

Median transaction price

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6, Pulau Pinang, Malaysia

Maps

Taman Nyaman Indah in Barat Daya, Penang recorded 17 subsale transactions between 2021 and 2026, with a median price of RM730K and a median price per square foot (PSF) of RM364.

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 RM730K, with most transactions falling within a stable range of RM657K to RM803K, and a typical market range of RM665K to RM795K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM364, though individual units vary from RM278 to RM450 in the core range. The broader market spans RM311.78 to RM415.78, indicating diverse property characteristics. The spread of RM104.00 (IQR) and deviation of RM86 (MAD) suggest moderate price variations reflecting different property features.

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.