Kampung Rapat Setia

Gunung Rapat, Ulu Kinta, 31350, Kinta, Perak, Malaysia

Property Transactions

6 subsales found

Median
RM675,000
PSF
RM63
Price Size
Period
transactions middle 50% (P25–P75)
RM800,000
Jalan Kemajuan
10,795 sqft RM74 PSF
RM600,000
Jalan Kemajuan
10,795 sqft RM56 PSF
RM700,000
Jalan Jaafar Taha
10,795 sqft RM65 PSF
RM630,000
Jalan Padang
10,808 sqft RM58 PSF
RM650,000
Jalan Raja Muda Musa Mahadi
10,795 sqft RM60 PSF
RM730,000
Jalan Raja Muda Musa Mahadi
10,795 sqft RM68 PSF
Legend Recent Highest Price Highest PSF

Posts about Kampung Rapat Setia

What’s happening in Kampung Rapat Setia?

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

Market Snapshot

Residential

RM675,000

RM63 psf

Median transaction price

Loading map...

KAMPUNG RAPAT SETIA, Gunung Rapat, Ulu Kinta, 31350, Kinta, Perak, Malaysia

Kampung Rapat Setia in Kinta, Perak recorded 6 subsale transactions between 2021 and 2026, sized between 10,775 and 10,824 sqft, with a median price of RM675K and a median price per square foot (PSF) of RM63.

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 RM675K, with most transactions falling within a stable range of RM608K to RM742K, and a typical market range of RM600K to RM760K.

Most transactions involved detached, with minimal variety in property types.

For price per square foot, the median is RM63, with most transactions between RM56 and RM69. The usual range is RM54.53 to RM70.53, showing that most units are priced quite close to each other. A typical spread (IQR) of RM16.00 and an average deviation (MAD) of RM6 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.