| LIST.MY · Taman Eleanor | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Toh Puan Sharifah
|
RM560,000
|
RM310
|
1,808 sqft
|
|
2-Sty Terrace |
| 2022 | |||||
|
Jalan Toh Puan Sharifah
|
RM370,000
|
RM205
|
1,808 sqft
|
|
2-Sty Terrace |
Posts about Taman Eleanor
No posts about Taman Eleanor yet. Be the first to share what’s happening here.
Nearby areas in Ulu Kinta
Bandar Baru Sri Klebang
Panorama Lapangan Perdana
Prima Meru
Taman Kinding Flora
Taman Cempaka
Bandar Baru Lapangan
Taman Klebang Putra
Bandar Seri Botani
Taman Polo Laguna @ Tambun
Taman Desa Lang Indah
Medan Klebang Restu
Taman Pertama (Silibin)
Taman Eleanor
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Ulu Kinta
TAMAN ELEANOR, Ulu Kinta, Kinta, Perak, Malaysia
Taman Eleanor in Kinta, Perak recorded 2 subsale transactions between 2021 and 2026, with a median price of RM465K and a median price per square foot (PSF) of RM310.
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 RM465K, with most transactions falling within a stable range of RM370K to RM560K, and a typical market range of RM418K to RM513K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM310, with most transactions between RM292 and RM328. The usual range is RM300.68 to RM318.68, showing that most units are priced quite close to each other. A typical spread (IQR) of RM18.00 and an average deviation (MAD) of RM18 indicate a highly stable PSF trend across properties.
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.