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

4 subsales grouped by size

Median
RM755,000
PSF
RM422
Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
Serviced Apt
RM500,000
Level 15
1,173 sqft · RM426 PSF
1,700 sqft
Serviced Apt
RM710,000
Level UG
1,696 sqft · RM419 PSF
2,200 sqft
Serviced Apt
RM1,700,000
Level G
2,185 sqft · RM778 PSF
2,600 sqft
Serviced Apt
RM800,000
Level 1
2,594 sqft · RM308 PSF
Legend Recent Highest Price Highest PSF

Selling in TTDI Adina Serv. Apart-Sek.13 Shah Alam? Homes here sold for a median of RM755,000.

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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 4 subsale transactions in 2024, with a median price of RM755K and a median price per square foot (PSF) of RM422.

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 RM755K, with most transactions falling within a stable range of RM500K to RM1.21 million, and a typical market range of RM703K to RM807K.

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

Price per square foot shows a median of RM422, though individual units vary from RM246 to RM599 in the core range. The broader market spans RM394.10 to RM450.60, indicating diverse property characteristics. A wider spread (IQR: RM56.50) and deviation (MAD: RM177) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.