Residensi Ostia

Persiaran Wawasan, Seksyen 14, 43650 Bandar Baru Bangi, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size · Serviced Apt →

Median
RM 425,000
PSF
RM 509
Price Size
Period
transactions middle 50% (P25–P75)
200 sqft
Shop
RM 120,000
Level 1
215 sqft · RM 557 PSF
600 sqft
Serviced Apt
RM 336,000
Level 28
603 sqft · RM 557 PSF
RM 270,000
Level 11
603 sqft · RM 448 PSF
850 sqft
Serviced Apt
RM 440,000
Level 26
850 sqft · RM 517 PSF
RM 433,000
Level 19
850 sqft · RM 509 PSF
RM 425,000
Level 11
850 sqft · RM 500 PSF
RM 427,000
Level 13
850 sqft · RM 502 PSF
7
transactions

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Residensi Ostia
© OpenStreetMap · CARTO

Persiaran Wawasan, Seksyen 14, 43650 Bandar Baru Bangi, Selangor, Malaysia

Maps

Residensi Ostia in Hulu Langat, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 425K and a median price per square foot (PSF) of RM 509.

This area contains both residential and commercial properties. View 11 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 425K, with most transactions falling within a stable range of RM 314K to RM 440K, and a typical market range of RM 371K to RM 440K.

Most transactions involved serviced apartment, though some variety exists in the market.

For price per square foot, the median is RM 509, with most transactions between RM 474 and RM 544. The usual range is RM 493.08 to RM 525.33, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 32.25 and an average deviation (MAD) of RM 35 indicate a highly stable PSF trend across properties.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.