TTDI Adina Serv. Apart-Sek.13 Shah Alam

11, Jln Judo 13/45, Seksyen 13, 40100 Shah Alam, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM403,500
PSF
RM433
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Serviced Apt
RM275,000
Level 18
657 sqft · RM419 PSF
850 sqft
Serviced Apt
RM390,000
Level 15
829 sqft · RM471 PSF
RM365,000
Level 10
829 sqft · RM440 PSF
RM417,000
Level 17
829 sqft · RM503 PSF
1,150 sqft
Serviced Apt
RM460,000
Level 16
1,173 sqft · RM392 PSF
RM500,000
Level 6
1,173 sqft · RM426 PSF
Legend Recent Highest Price Highest PSF

Selling in TTDI Adina Serv. Apart-Sek.13 Shah Alam? Homes here sold for a median of RM403,500.

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TTDI Adina Serv. Apart-Sek.13 Shah Alam
© OpenStreetMap · CARTO

11, Jln Judo 13/45, Seksyen 13, 40100 Shah Alam, Selangor, Malaysia

Maps

TTDI Adina Serv. Apart-Sek.13 Shah Alam in Petaling, Selangor recorded 6 subsale transactions in 2023, with a median price of RM404K and a median price per square foot (PSF) of RM433.

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 RM404K, with most transactions falling within a stable range of RM332K to RM475K, and a typical market range of RM352K to RM455K.

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

For price per square foot, the median is RM433, with most transactions between RM397 and RM469. The usual range is RM405.02 to RM461.52, showing that most units are priced quite close to each other. With an IQR of RM56.50 and MAD of RM36, 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.