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 165
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 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
750 sqft
Flat
RM 160,000
Level 2
750 sqft · RM 213 PSF
RM 100,000
Level 4
750 sqft · RM 133 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 100,000

RM 165 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 subsale transactions in 2022, with a median price of RM 100K and a median price per square foot (PSF) of RM 165.

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 86K to RM 123K, and a typical market range of RM 86K to RM 125K.

Most transactions involved flats, with moderate diversity in property types available.

The median PSF stands at RM 165, with core pricing between RM 137 and RM 194. Market pricing typically extends from RM 144.80 to RM 186.05, reflecting moderate variation in unit pricing. The spread of RM 41.25 (IQR) and deviation of RM 29 (MAD) suggest moderate price variations reflecting different property features.

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.