M Aruna

Taman M Aruna, 48020 Rawang, Selangor, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM715,500
PSF
RM408
Price Size
Period
transactions middle 50% (P25–P75)
1,750 sqft
2-Sty Terrace
RM768,000
Jalan Aruna 6
1,755 sqft · RM438 PSF
RM663,000
Jalan Aruna 7
1,755 sqft · RM378 PSF
Legend Recent Highest Price Highest PSF

New Launches in Selangor

View all

Posts about M Aruna

What’s happening in M Aruna?

No posts about M Aruna yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM715,500

RM408 psf

Median transaction price

Community Media (4)
Share
M Aruna
© OpenStreetMap · CARTO

Taman M Aruna, 48020 Rawang, Selangor, Malaysia

Maps
List AI Investment Analysis. Strong capital appreciation defying leasehold stigma, though rental yields remain compressed.

M Aruna in Gombak, Selangor recorded 2 subsale transactions between 2021 and 2026, sized between 1,725 and 1,774 sqft, with a median price of RM716K and a median price per square foot (PSF) of RM408.

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 RM716K, with most transactions falling within a stable range of RM663K to RM768K, and a typical market range of RM669K to RM762K.

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

For price per square foot, the median is RM408, with most transactions between RM378 and RM438. The usual range is RM399.80 to RM415.80, showing that most units are priced quite close to each other. A typical spread (IQR) of RM16.00 and an average deviation (MAD) of RM30 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.