Suria Avenue-Sek 16 Shah Alam

Jalan Dawai 16/2, Seksyen 16, 40200 Shah Alam, Selangor, Malaysia

NEW LAUNCH New Condo in PJ Damansara
Ad Sponsored

New Condo in PJ Damansara

Pet friendly condo. 10mins to 1Utama

From
RM600K
Size
800 sqft

Property Transactions

1 subsales grouped by size

Median
RM300,000
PSF
RM240
Price Size
Period
transactions middle 50% (P25–P75)
1,250 sqft
Condo
RM300,000
Level 6
1,249 sqft · RM240 PSF
Legend Recent Highest Price Highest PSF

Selling in Suria Avenue-Sek 16 Shah Alam? Homes here sold for a median of RM300,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

New Launches in Selangor

View all

Posts about Suria Avenue-Sek 16 Shah Alam

What’s happening in Suria Avenue-Sek 16 Shah Alam?

No posts about Suria Avenue-Sek 16 Shah Alam yet. Be the first to share what’s happening here.

Property News

More property news →
Suria Avenue-Sek 16 Shah Alam
© OpenStreetMap · CARTO

Jalan Dawai 16/2, Seksyen 16, 40200 Shah Alam, Selangor, Malaysia

Maps

Suria Avenue-Sek 16 Shah Alam in Petaling, Selangor recorded 1 subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM240.

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

Price remained flat, and PSF growth was PSF remained flat.

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

For price per square foot, the median is RM240, with most transactions between RM240 and RM240. The usual range is RM214.52 to RM266.02, showing that most units are priced quite close to each other. With an IQR of RM51.50 and MAD of RM0, 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.