Fettes Residences
168, Jln Tanjong Tokong, Kampung Masjid, 10470 Tanjung Tokong, Pulau Pinang, Malaysia
168, Jln Tanjong Tokong, Kampung Masjid, 10470 Tanjung Tokong, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 28
|
RM 1,200,000
|
RM 575
|
2,088 sqft
|
|
|
|
Level 27
|
RM 1,425,000
|
RM 686
|
2,077 sqft
|
|
|
Level 10
|
RM 1,380,000
|
RM 560
|
2,465 sqft
|
|
|
Level 5
|
RM 1,450,000
|
RM 578
|
2,508 sqft
|
|
|
|
Level 10
|
RM 1,500,000
|
RM 606
|
2,476 sqft
|
|
|
|
Level 32
|
RM 1,400,000
|
RM 563
|
2,486 sqft
|
|
|
|
Level 4
|
RM 1,350,000
|
RM 538
|
2,508 sqft
|
|
|
Level 35
|
RM 1,700,000
|
RM 393
|
4,327 sqft
|
|
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Market Snapshot
ResidentialRM 1,412,500
RM 569 psfMedian transaction price
168, Jln Tanjong Tokong, Kampung Masjid, 10470 Tanjung Tokong, Pulau Pinang, Malaysia
MapsFettes Residences in Timur Laut, Penang recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 1.41 million and a median price per square foot (PSF) of RM 569.
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 1.41 million, with most transactions falling within a stable range of RM 1.28 million to RM 1.55 million, and a typical market range of RM 1.28 million to RM 1.55 million.
Most transactions involved condominium/apartment, with minimal variety in property types.
The median PSF stands at RM 569, with core pricing between RM 492 and RM 645. Market pricing typically extends from RM 514.10 to RM 623.60, reflecting moderate variation in unit pricing. With an IQR of RM 109.50 and MAD of RM 77, 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. 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.