| Road | Price | PSF | Size | Date | Type |
|---|
|
Laluan Kledang 5
|
RM340,000
|
RM222
|
1,528 sqft
|
|
|
Laluan Kledang 1
|
RM650,000
|
RM162
|
4,004 sqft
|
|
Posts about Taman Bukit Kledang Indah
No posts about Taman Bukit Kledang Indah 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 Bukit Kledang Indah
Marketplace listings
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
Market Snapshot
ResidentialRM495,000
RM192 psfMedian transaction price
Taman Bukit Kledang Indah in Kinta, Perak recorded 2 subsale transactions in 2023, with a median price of RM495K and a median price per square foot (PSF) of RM192.
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 RM495K, with most transactions falling within a stable range of RM340K to RM650K, and a typical market range of RM349K to RM641K.
Most transactions involved 2 - 2 1/2 storey semi-detached, with moderate diversity in property types available.
The median PSF stands at RM192, with core pricing between RM162 and RM222. Market pricing typically extends from RM170.02 to RM214.77, reflecting moderate variation in unit pricing. The spread of RM44.75 (IQR) and deviation of RM30 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.