Taman Klebang Greenview(D.klebang Perdana)

Perak, Kinta, Ulu Kinta

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,600 sqft
Semi-D
RM400,000
Jalan Klebang Perdana 10
3,595 sqft · RM111 PSF
RM310,000
Jalan Klebang Perdana 11
3,595 sqft · RM86 PSF
RM380,000
Jalan Klebang Perdana 11
3,595 sqft · RM106 PSF
RM410,000
Jalan Klebang Perdana 11
3,595 sqft · RM114 PSF
RM400,000
Jalan Klebang Perdana 10
3,595 sqft · RM111 PSF
RM412,000
Jalan Klebang Perdana 11
3,595 sqft · RM115 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Klebang Greenview(D.klebang Perdana)? Homes here sold for a median of RM400,000.

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Market Snapshot

Residential

RM400,000

RM111 psf

Median transaction price

Taman Klebang Greenview(D.klebang Perdana) in Kinta, Perak recorded 6 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM400K and a median price per square foot (PSF) of RM111.

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 RM400K, with most transactions falling within a stable range of RM365K to RM412K, and a typical market range of RM378K to RM412K.

Within the Single Storey Semi-D category, 1 - 1 1/2 storey semi-detached dominated the market, though some variety exists in the market.

For price per square foot, the median is RM111, with most transactions between RM101 and RM121. The usual range is RM91.13 to RM131.13, showing that most units are priced quite close to each other. A typical spread (IQR) of RM40.00 and an average deviation (MAD) of RM10 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.