Taman Nilam Tanjung

14100 Simpang Ampat, Pulau Pinang, Malaysia

Property Transactions

13 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM370,000
1,449 sqft
RM255 PSF · Terrace
RM400,000
1,302 sqft
RM307 PSF · 2-Sty Terrace
RM365,000
1,302 sqft
RM280 PSF · 2-Sty Terrace
RM350,000
1,449 sqft
RM242 PSF · Terrace
RM280,000
1,247 sqft
RM225 PSF
RM325,000
1,494 sqft
RM218 PSF
RM320,000
1,494 sqft
RM214 PSF
RM283,000
1,494 sqft
RM189 PSF
RM330,000
1,329 sqft
RM248 PSF
RM300,000
1,227 sqft
RM244 PSF
RM240,000
1,329 sqft
RM181 PSF
RM320,000
1,222 sqft
RM262 PSF
RM320,000
1,449 sqft
RM221 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM320,000

RM242 psf

Median transaction price

Taman Nilam Tanjung
© OpenStreetMap · CARTO

Taman Nilam Tanjung, 14100 Simpang Ampat, Pulau Pinang, Malaysia

Maps

Taman Nilam Tanjung in Seberang Perai Selatan, Penang recorded 13 subsale transactions between 2021 and 2026, with a median price of RM320K and a median price per square foot (PSF) of RM242.

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 RM320K, with most transactions falling within a stable range of RM290K to RM350K, and a typical market range of RM295K to RM345K.

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

For price per square foot, the median is RM242, with most transactions between RM222 and RM262. The usual range is RM224.50 to RM258.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.00 and an average deviation (MAD) of RM20 indicate a highly stable PSF trend across properties.

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.