Avenue Crest-Sek 22 Shah Alam

Jalan Jubli Perak 22/1, Section 22, 40300 Shah Alam, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales found

Median
RM317,000
PSF
RM537
Price Size
Period
transactions middle 50% (P25–P75)
RM834,000
Level 22
592 sqft RM1,409 PSF
RM210,000
Level 19
527 sqft RM398 PSF
RM234,000
Level 19
667 sqft RM351 PSF
RM400,000
Level 22
592 sqft RM676 PSF
Legend Recent Highest Price Highest PSF

Selling in Avenue Crest-Sek 22 Shah Alam? Homes here sold for a median of RM317,000.

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Market Snapshot

Commercial

RM317,000

RM537 psf

Median transaction price

Avenue Crest-Sek 22 Shah Alam
© OpenStreetMap · CARTO

Jalan Jubli Perak 22/1, Section 22, 40300 Shah Alam, Selangor, Malaysia

Maps

Avenue Crest-Sek 22 Shah Alam in Petaling, Selangor recorded 4 subsale transactions in 2022, with a median price of RM317K and a median price per square foot (PSF) of RM537.

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

Price remained flat, and PSF growth was PSF remained flat. The median price is RM317K, with most transactions falling within a stable range of RM210K to RM567K, and a typical market range of RM259K to RM375K.

Most transactions involved soho/sofo/sovo, though some variety exists in the market.

Price per square foot shows a median of RM537, though individual units vary from RM114 to RM960 in the core range. The broader market spans RM402.28 to RM671.53, indicating diverse property characteristics. A wider spread (IQR: RM269.25) and deviation (MAD: RM423) 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.