Taman Oren
Mukim 14, 13000 Butterworth, Penang, Malaysia
Mukim 14, 13000 Butterworth, Penang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Oren 4
|
RM 1,261,000
|
RM 797
|
1,582 sqft
|
|
|
Lorong Oren 4
|
RM 1,210,000
|
RM 418
|
2,895 sqft
|
|
|
|
Lorong Oren 2
|
RM 1,291,000
|
RM 446
|
2,895 sqft
|
|
|
|
Lorong Oren 4
|
RM 1,171,000
|
RM 404
|
2,895 sqft
|
|
|
|
Lorong Oren 4
|
RM 1,281,000
|
RM 442
|
2,895 sqft
|
|
|
|
Lorong Oren 2
|
RM 1,201,000
|
RM 415
|
2,895 sqft
|
|
|
|
Lorong Oren 3
|
RM 1,251,000
|
RM 432
|
2,895 sqft
|
|
Posts about Taman Oren
No posts about Taman Oren yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 1,201,000
RM 415 psfMedian transaction price
Mukim 14, 13000 Butterworth, Penang, Malaysia
MapsTaman Oren in Seberang Perai Utara, Penang recorded 14 subsale transactions in 2023, with a median price of RM 1.20 million and a median price per square foot (PSF) of RM 415.
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 1.20 million, with most transactions falling within a stable range of RM 1.12 million to RM 1.28 million, and a typical market range of RM 1.17 million to RM 1.23 million.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
Price per square foot shows a median of RM 415, though individual units vary from RM 313 to RM 517 in the core range. The broader market spans RM 398.03 to RM 431.53, indicating diverse property characteristics. The spread of RM 33.50 (IQR) and deviation of RM 102 (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.