Taman Villa Oren

Penang, Bukit Mertajam, Taman Villa Oren, Orange Villa /, 14000 Bukit Mertajam, Penang, Malaysia

Property Transactions

6 subsales grouped by size · 2-Sty Terrace →

Median
RM 842,500
PSF
RM 247
Price Size
2,950 sqft
2-Sty Terrace
RM 940,000
Lorong Villa Oren 4
2,960 sqft · RM 318 PSF
RM 710,000
Lorong Villa Oren 4
2,960 sqft · RM 240 PSF
RM 745,000
Lorong Villa Oren 4
2,960 sqft · RM 252 PSF
RM 720,000
Lorong Villa Oren 4
2,960 sqft · RM 243 PSF
4,250 sqft
Semi-D
RM 990,000
Lorong Villa Oren 1
4,252 sqft · RM 233 PSF
4,800 sqft
Bungalow
RM 1,450,000
Lorong Villa Oren 2
4,801 sqft · RM 302 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 842,500

RM 247 psf

Median transaction price

Taman Villa Oren
© OpenStreetMap · CARTO

Penang, Bukit Mertajam, Taman Villa Oren, Orange Villa /, 14000 Bukit Mertajam, Penang, Malaysia

Maps

Taman Villa Oren in Seberang Perai Tengah, Penang recorded 6 subsale transactions in 2023, with a median price of RM 843K and a median price per square foot (PSF) of RM 247.

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 RM 843K, with most transactions falling within a stable range of RM 710K to RM 1.10 million, and a typical market range of RM 763K to RM 923K.

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

The median PSF stands at RM 247, with core pricing between RM 215 and RM 280. Market pricing typically extends from RM 201.96 to RM 292.96, reflecting moderate variation in unit pricing. With an IQR of RM 91.00 and MAD of RM 33, 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.