Taman Jana Setia

Kamunting, 34600, Larut Matang, Perak, Malaysia

Property Transactions

11 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM300,000
1,399 sqft
RM214 PSF
RM280,000
1,399 sqft
RM200 PSF
RM210,000
1,399 sqft
RM150 PSF
RM290,000
1,399 sqft
RM207 PSF
RM338,000
2,099 sqft
RM161 PSF
RM250,000
1,399 sqft
RM179 PSF
RM380,000
2,486 sqft
RM153 PSF
RM280,000
1,399 sqft
RM200 PSF
RM260,000
1,399 sqft
RM186 PSF
RM250,000
1,399 sqft
RM179 PSF
RM265,000
1,399 sqft
RM189 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Jana Setia

What’s happening in Taman Jana Setia?

No posts about Taman Jana Setia yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM280,000

RM186 psf

Median transaction price

Loading map...

TAMAN JANA SETIA, Kamunting, 34600, Larut Matang, Perak, Malaysia

Taman Jana Setia in Larut Matang, Perak recorded 11 subsale transactions between 2021 and 2026, with a median price of RM280K and a median price per square foot (PSF) of RM186.

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 RM280K, with most transactions falling within a stable range of RM260K to RM300K, and a typical market range of RM260K to RM300K.

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

For price per square foot, the median is RM186, with most transactions between RM172 and RM200. The usual range is RM170.81 to RM200.81, showing that most units are priced quite close to each other. A typical spread (IQR) of RM30.00 and an average deviation (MAD) of RM14 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.