Taman Setia Rawang

48000 Rawang, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 100,000
PSF
RM 150
Price Size
Period
transactions middle 50% (P25–P75)
600 sqft
LC Flat
RM 100,000
Level 3
600 sqft · RM 167 PSF
RM 110,000
Level 1
600 sqft · RM 183 PSF
650 sqft
LC Flat
RM 90,000
Level G
665 sqft · RM 135 PSF
RM 100,000
Level 2
665 sqft · RM 150 PSF
RM 90,000
Level 1
665 sqft · RM 135 PSF
RM 110,000
Level 1
665 sqft · RM 165 PSF
RM 86,000
Level 3
665 sqft · RM 129 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 100,000

RM 150 psf

Median transaction price

Taman Setia Rawang
© OpenStreetMap · CARTO

Taman Setia Rawang, 48000 Rawang, Selangor, Malaysia

Maps

Taman Setia Rawang in Gombak, Selangor recorded 7 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 100K and a median price per square foot (PSF) of RM 150.

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 RM 100K, with most transactions falling within a stable range of RM 91K to RM 109K, and a typical market range of RM 86K to RM 110K.

Within the Low-Cost Flat category, flats dominated the market, with moderate diversity in property types available.

The median PSF stands at RM 150, with core pricing between RM 132 and RM 169. Market pricing typically extends from RM 129.76 to RM 171.01, reflecting moderate variation in unit pricing. With an IQR of RM 41.25 and MAD of RM 19, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.