Taman Tambun Indah

14100 Simpang Ampat, Pulau Pinang, Malaysia

Property Transactions

11 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
550 sqft
LC Flat
RM140,000
Level 1
570 sqft · RM245 PSF
RM150,000
Level 1
570 sqft · RM263 PSF
RM90,000
Level 2
570 sqft · RM158 PSF
RM70,000
Level 1
570 sqft · RM123 PSF
RM100,000
Level G
570 sqft · RM175 PSF
RM65,000
Level 4
570 sqft · RM114 PSF
+5 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM77,000

RM135 psf

Median transaction price

RM1,100,000

RM527 psf

Median transaction price

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Taman Tambun Indah, 14100 Simpang Ampat, Pulau Pinang, Malaysia

Maps

Taman Tambun Indah in Seberang Perai Selatan, Penang recorded 11 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM77K and a median price per square foot (PSF) of RM135.

This area contains both residential and commercial properties. View 40 residential properties or 9 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM77K, with most transactions falling within a stable range of RM48K to RM109K, and a typical market range of RM48K to RM150K.

Within the Low-Cost Flat category, detached dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM135, though individual units vary from RM79 to RM191 in the core range. The broader market spans RM46.47 to RM223.47, indicating diverse property characteristics. A wider spread (IQR: RM177.00) and deviation (MAD: RM56) indicate significant PSF variations, likely due to diverse property types or conditions.

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.