Puri Aiyu Kondominium-Sek 20 Shah Alam

No 50, Jalan Jubli Perak 22/1, Seksyen 22, 40400 Shah Alam, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 370,000
PSF
RM 374
Price Size
900 sqft
Condo
RM 420,000
Level 11
904 sqft · RM 465 PSF
1,000 sqft
Condo
RM 370,000
Level 8
990 sqft · RM 374 PSF
RM 440,000
Level 13A
1,001 sqft · RM 440 PSF
RM 400,000
Level 4
1,001 sqft · RM 400 PSF
RM 349,000
Level 11
1,001 sqft · RM 349 PSF
1,050 sqft
Condo
RM 339,000
Level 13
1,033 sqft · RM 328 PSF
1,100 sqft
Condo
RM 365,000
Level 13
1,098 sqft · RM 332 PSF
7
transactions

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Market Snapshot

Residential

RM 370,000

RM 374 psf

Median transaction price

Puri Aiyu Kondominium-Sek 20 Shah Alam
© OpenStreetMap · CARTO

No 50, Jalan Jubli Perak 22/1, Seksyen 22, 40400 Shah Alam, Selangor, Malaysia

Maps

Puri Aiyu Kondominium-Sek 20 Shah Alam in Petaling, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 370K and a median price per square foot (PSF) of RM 374.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 370K, with most transactions falling within a stable range of RM 339K to RM 405K, and a typical market range of RM 348K to RM 393K.

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

The median PSF stands at RM 374, with core pricing between RM 324 and RM 423. Market pricing typically extends from RM 347.13 to RM 400.13, reflecting moderate variation in unit pricing. With an IQR of RM 53.00 and MAD of RM 49, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.