Taman Oren Indah

1, Lorong Oren Indah, Kampung Sungai Rambai, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Property Transactions

10 subsales grouped by size · 2-Sty Terrace →

Period
transactions middle 50% (P25–P75)
1,750 sqft
2-Sty Terrace
RM750,000
Lorong Oren Indah 2
1,744 sqft · RM430 PSF
RM688,000
Lorong Oren Indah 2
1,744 sqft · RM395 PSF
RM698,000
Lorong Oren Indah 2
1,744 sqft · RM400 PSF
RM625,000
Lorong Oren Indah 2
1,744 sqft · RM358 PSF
RM623,000
Lorong Oren Indah 1
1,744 sqft · RM357 PSF
RM620,000
Lorong Oren Indah 2
1,744 sqft · RM356 PSF
+3 more
5,450 sqft
Bungalow
RM1,700,000
Lorong Oren Indah 1
5,436 sqft · RM313 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM689,500

RM507 psf

Median transaction price

Taman Oren Indah
© OpenStreetMap · CARTO

1, Lorong Oren Indah, Kampung Sungai Rambai, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Maps

Taman Oren Indah in Seberang Perai Tengah, Penang recorded 10 subsale transactions between 2021 and 2026, with a median price of RM690K and a median price per square foot (PSF) of RM395.

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 RM690K, with most transactions falling within a stable range of RM630K to RM750K, and a typical market range of RM636K to RM743K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

The median PSF stands at RM395, with core pricing between RM342 and RM447. Market pricing typically extends from RM338.68 to RM450.43, reflecting moderate variation in unit pricing. With an IQR of RM111.75 and MAD of RM53, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.