Taman Maju Rapat

Ulu Kinta, Kinta, Perak, Malaysia

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
7,000 sqft
Bungalow
RM500,000
Tingkat Seri Rapat 12
7,018 sqft · RM71 PSF
RM400,000
Jalan Lapangan Terbang
7,018 sqft · RM57 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Maju Rapat? Homes here sold for a median of RM450,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Taman Maju Rapat

What’s happening in Taman Maju Rapat?

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

Market Snapshot

Residential

RM450,000

RM64 psf

Median transaction price

Loading map...

TAMAN MAJU RAPAT, Ulu Kinta, Kinta, Perak, Malaysia

Taman Maju Rapat in Kinta, Perak recorded 2 subsale transactions between 2021 and 2026, sized between 6,975 and 7,024 sqft, with a median price of RM450K and a median price per square foot (PSF) of RM64.

This area contains both residential and commercial properties. View 19 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM450K, with most transactions falling within a stable range of RM400K to RM500K, and a typical market range of RM400K to RM500K.

Most transactions involved low-cost house, with high diversity across multiple property types.

The median PSF stands at RM64, with core pricing between RM57 and RM71. Market pricing typically extends from RM21.12 to RM107.12, reflecting moderate variation in unit pricing. With an IQR of RM86.00 and MAD of RM7, the PSF demonstrates reasonable consistency across the market.

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.