Residensi Damai

Jln Damai, Bandar Teknologi Kajang, 43500 Semenyih, 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

No Transactions Found

We couldn't find any transactions matching your current filters in Residensi Damai.

Adjust Your Filters

Clear All Filters

New Launches in Selangor

View all

Posts about Residensi Damai

What’s happening in Residensi Damai?

No posts about Residensi Damai yet. Be the first to share what’s happening here.

Low

Does RESIDENSI DAMAI rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

See the yield with Plus

RM59 a month, cancel any time

Residensi Damai
© OpenStreetMap · CARTO

Jln Damai, Bandar Teknologi Kajang, 43500 Semenyih, Selangor, Malaysia

Maps

Residensi Damai in Hulu Langat, Selangor recorded 0 subsale transactions in 2026, with a median price of RM297K and a median price per square foot (PSF) of RM363.

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 RM297K, with most transactions falling within a stable range of RM290K to RM304K, and a typical market range of RM293K to RM302K.

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

For price per square foot, the median is RM363, with most transactions between RM354 and RM372. The usual range is RM357.50 to RM368.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM11.00 and an average deviation (MAD) of RM9 indicate a highly stable PSF trend across properties.

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.