| LIST.MY · Medan Klebang Elit | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Klebang Elit 3
|
RM340,000
|
RM128
|
2,659 sqft
|
|
Cluster |
| 2022 | |||||
|
Jalan Klebang Elit 4
|
RM345,000
|
RM119
|
2,895 sqft
|
|
Cluster |
|
Jalan Klebang Elit 1
|
RM360,000
|
RM129
|
2,799 sqft
|
|
Cluster |
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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)
Medan Klebang Elit
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
MEDAN KLEBANG ELIT, Klebang, Ulu Kinta, Kinta, Perak, Malaysia
Medan Klebang Elit in Kinta, Perak recorded 3 subsale transactions between 2021 and 2026, with a median price of RM345K and a median price per square foot (PSF) of RM128.
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 RM345K, with most transactions falling within a stable range of RM340K to RM350K, and a typical market range of RM340K to RM350K.
Most transactions involved cluster house, with minimal variety in property types.
For price per square foot, the median is RM128, with most transactions between RM127 and RM129. The usual range is RM125.38 to RM130.38, showing that most units are priced quite close to each other. A typical spread (IQR) of RM5.00 and an average deviation (MAD) of RM1 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. 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.