Sri Acappella Serv. Apart-Sek.13 S Alam

1, Jalan Lompat Tinggi 13/33, Seksyen 13, 40100 Shah Alam, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

4 subsales grouped by size · Serviced Apt →

Median
RM 490,000
PSF
RM 450
Price Size
750 sqft
Serviced Apt
RM 390,000
Level 10
743 sqft · RM 525 PSF
950 sqft
Serviced Apt
RM 460,000
Level 11
936 sqft · RM 491 PSF
1,250 sqft
Serviced Apt
RM 520,000
Level 4
1,270 sqft · RM 409 PSF
1,400 sqft
Serviced Apt
RM 549,000
Level 14
1,410 sqft · RM 389 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 490,000

RM 450 psf

Median transaction price

Sri Acappella Serv. Apart-Sek.13 S Alam
© OpenStreetMap · CARTO

1, Jalan Lompat Tinggi 13/33, Seksyen 13, 40100 Shah Alam, Selangor, Malaysia

Maps

Sri Acappella Serv. Apart-Sek.13 S Alam in Petaling, Selangor recorded 4 subsale transactions in 2022, with a median price of RM 490K and a median price per square foot (PSF) of RM 450.

This area contains both residential and commercial properties. View 23 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 490K, with most transactions falling within a stable range of RM 429K to RM 549K, and a typical market range of RM 393K to RM 549K.

Most transactions involved serviced apartment, with minimal variety in property types.

The median PSF stands at RM 450, with core pricing between RM 394 and RM 506. Market pricing typically extends from RM 422.56 to RM 478.06, reflecting moderate variation in unit pricing. With an IQR of RM 55.50 and MAD of RM 56, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.