|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2023 | |||||
|
Level 25
|
RM 710,000
|
RM 549
|
1,294 sqft
|
|
Serviced Apt |
|
Level 25
|
RM 710,000
|
RM 563
|
1,262 sqft
|
|
Serviced Apt |
|
Level 18
|
RM 470,000
|
RM 712
|
660 sqft
|
|
Serviced Apt |
Kopitiam is the corner kopi shop where neighbours lepak, sembang, and catch up..
On List.my, every location also got one. The kaki you see lepak-ing around are real people checking out this same area right now.
Pull up a stool, be nice and chat anything about this location or more!
Every kopitiam is for one state only. You see everyone browsing that same state, live, and they see you too.
Whatever you say, everyone in this state's kopitiam sees it straight away.
You stay anonymous, no name or sign-in needed. Logged in? You can choose to show your name.
Promote your property to visitors of this page
11700 Gelugor, Penang, Malaysia
MapsArte S in Timur Laut, Penang recorded 3 subsale transactions in 2023, with a median price of RM 710K and a median price per square foot (PSF) of RM 563.
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 710K, with most transactions falling within a stable range of RM 597K to RM 710K, and a typical market range of RM 636K to RM 710K.
Most transactions involved serviced apartment, with minimal variety in property types.
The median PSF stands at RM 563, with core pricing between RM 489 and RM 637. Market pricing typically extends from RM 482.12 to RM 643.12, reflecting moderate variation in unit pricing. With an IQR of RM 161.00 and MAD of RM 74, 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.