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

5 subsales grouped by size · Serviced Apt →

Median
RM 575,000
PSF
RM 387
Price Size
1,300 sqft
Serviced Apt
RM 550,000
Level 5
1,281 sqft · RM 429 PSF
RM 575,000
Level 10
1,281 sqft · RM 449 PSF
1,400 sqft
Serviced Apt
RM 520,000
Level 16
1,410 sqft · RM 369 PSF
1,650 sqft
Serviced Apt
RM 626,000
Level 13
1,636 sqft · RM 383 PSF
RM 633,000
Level 15
1,636 sqft · RM 387 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 575,000

RM 387 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 5 subsale transactions in 2021, with a median price of RM 575K and a median price per square foot (PSF) of RM 387.

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 575K, with most transactions falling within a stable range of RM 532K to RM 618K, and a typical market range of RM 520K to RM 633K.

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

For price per square foot, the median is RM 387, with most transactions between RM 356 and RM 417. The usual range is RM 359.14 to RM 414.64, showing that most units are priced quite close to each other. With an IQR of RM 55.50 and MAD of RM 30, 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.