Taman Mat Kilau 3

Pahang, Jerantut, Pedah

Property Transactions

11 subsales grouped by size · Semi-D →

Period
transactions middle 50% (P25–P75)
3,600 sqft
Semi-D
RM315,000
Lorong Tmk 5
3,595 sqft · RM88 PSF
RM288,000
Jalan Taman Mat Kilau 3
3,595 sqft · RM80 PSF
3,800 sqft
Semi-D
RM299,000
Lorong Tmk 1
3,810 sqft · RM78 PSF
RM299,000
Lorong Tmk 1
3,789 sqft · RM79 PSF
RM299,000
Jalan Taman Mat Kilau 3
3,789 sqft · RM79 PSF
3,900 sqft
Semi-D
RM299,000
Lorong Tmk 5
3,897 sqft · RM77 PSF
3,950 sqft
Semi-D
RM306,000
Lorong Tmk 5
3,950 sqft · RM77 PSF
4,000 sqft
Semi-D
RM310,000
Lorong Tmk 5
3,983 sqft · RM78 PSF
5,550 sqft
Bungalow
RM411,000
Lorong Tmk 2
5,543 sqft · RM74 PSF
6,150 sqft
Semi-D
RM375,000
Jalan Taman Mat Kilau 3
6,135 sqft · RM61 PSF
6,200 sqft
Semi-D
RM407,000
Lorong Tmk 1
6,200 sqft · RM66 PSF
Legend Recent Highest Price Highest PSF

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Taman Mat Kilau 3 in Jerantut, Pahang recorded 11 subsale transactions between 2021 and 2026, with a median price of RM306K and a median price per square foot (PSF) of RM78.

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 RM306K, with most transactions falling within a stable range of RM299K to RM313K, and a typical market range of RM288K to RM329K.

Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.

For price per square foot, the median is RM78, with most transactions between RM77 and RM79. The usual range is RM76.09 to RM79.59, showing that most units are priced quite close to each other. A typical spread (IQR) of RM3.50 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.