Dataran Otomobil

Seksyen 15, 40200 Shah Alam, Selangor, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM 285,000
PSF
RM 340
Price Size
RM 190,000
Level 1
829 sqft · RM 229 PSF
RM 300,000
Level 1A
829 sqft · RM 362 PSF
RM 245,000
Level 1
850 sqft · RM 288 PSF
RM 290,000
Level 1
847 sqft · RM 342 PSF
RM 210,000
Level 4
829 sqft · RM 253 PSF
RM 280,000
Level 1
829 sqft · RM 338 PSF
1,550 sqft
Shop
RM 790,000
Level G
1,539 sqft · RM 513 PSF
RM 750,000
Level G
1,539 sqft · RM 487 PSF
8
transactions

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Market Snapshot

Commercial

RM 285,000

RM 340 psf

Median transaction price

Dataran Otomobil, Sek. 15 Shah Alam
© OpenStreetMap · CARTO

Dataran Otomobil, Seksyen 15, 40200 Shah Alam, Selangor, Malaysia

Maps

Dataran Otomobil in Petaling, Selangor recorded 8 subsale transactions in 2022, with a median price of RM 285K and a median price per square foot (PSF) of RM 340.

This area contains both residential and commercial properties. View 1 residential properties or 32 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 285K, with most transactions falling within a stable range of RM 190K to RM 512K, and a typical market range of RM 190K to RM 555K.

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

Price per square foot shows a median of RM 340, though individual units vary from RM 244 to RM 436 in the core range. The broader market spans RM 231.11 to RM 449.11, indicating diverse property characteristics. A wider spread (IQR: RM 218.00) and deviation (MAD: RM 96) indicate significant PSF variations, likely due to diverse property types or conditions.

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.