Amber 3 @Bukit Sentosa

Bukit Sentosa, 48300 Rawang, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 490,000
PSF
RM 434
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
2-Sty Terrace
RM 479,000
Amber 3 @ Bukit Sentosa
1,076 sqft · RM 445 PSF
1,150 sqft
2-Sty Terrace
RM 774,000
Lot No. Am3-041, Amber 3 @ Bukit Sentosa
1,173 sqft · RM 660 PSF
RM 479,000
Amber 3 @ Bukit Sentosa
1,173 sqft · RM 408 PSF
RM 497,000
Amber 3 @ Bukit Sentosa
1,173 sqft · RM 424 PSF
1,300 sqft
2-Sty Terrace
RM 788,000
Amber 3 @ Bukit Sentosa
1,281 sqft · RM 615 PSF
RM 483,000
Amber 3 @ Bukit Sentosa
1,281 sqft · RM 377 PSF
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Market Snapshot

Residential

RM 490,000

RM 434 psf

Median transaction price

Amber 3 @Bukit Sentosa
© OpenStreetMap · CARTO

Bukit Sentosa, 48300 Rawang, Selangor, Malaysia

Maps

Amber 3 @Bukit Sentosa in Hulu Selangor, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 490K and a median price per square foot (PSF) of RM 434.

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 490K, with most transactions falling within a stable range of RM 479K to RM 630K, and a typical market range of RM 486K to RM 494K.

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

Price per square foot shows a median of RM 434, though individual units vary from RM 326 to RM 543 in the core range. The broader market spans RM 432.30 to RM 436.30, indicating diverse property characteristics. The spread of RM 4.00 (IQR) and deviation of RM 108 (MAD) suggest moderate price variations reflecting different property features.

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.