Acacia Springs

Jalan Kuang, Kampung Batu Dua Puluh, 48050 Rawang, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 1,000,000
PSF
RM 182
Period
transactions middle 50% (P25–P75)
5,000 sqft
Bungalow
RM 1,000,000
Jalan Akasia 12
5,005 sqft · RM 200 PSF
RM 1,300,000
Jalan Akasia 6
5,005 sqft · RM 260 PSF
RM 880,000
Jalan Akasia 7
5,005 sqft · RM 176 PSF
RM 1,070,000
Jalan Akasia 9
5,005 sqft · RM 214 PSF
5,250 sqft
Bungalow
RM 960,000
Jalan Akasia 10
5,264 sqft · RM 182 PSF
6,350 sqft
Bungalow
RM 1,000,000
Jalan Akasia 2
6,351 sqft · RM 157 PSF
7,000 sqft
Bungalow
RM 834,000
Jalan Akasia 3A
7,018 sqft · RM 119 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,000,000

RM 182 psf

Median transaction price

Acacia Springs
© OpenStreetMap · CARTO

Jalan Kuang, Kampung Batu Dua Puluh, 48050 Rawang, Selangor, Malaysia

Maps

Acacia Springs in Gombak, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 1.00 million and a median price per square foot (PSF) of RM 182.

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 RM 1.00 million, with most transactions falling within a stable range of RM 930K to RM 1.07 million, and a typical market range of RM 943K to RM 1.06 million.

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

The median PSF stands at RM 182, with core pricing between RM 157 and RM 207. Market pricing typically extends from RM 162.14 to RM 202.64, reflecting moderate variation in unit pricing. With an IQR of RM 40.50 and MAD of RM 25, the PSF demonstrates reasonable consistency across the market.

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.