Lrt Station Damai

Kampung Datuk Keramat, 54000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, 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
RM586,000
PSF
RM2,094
Price Size
Period
transactions middle 50% (P25–P75)
300 sqft
Serviced Apt
RM586,000
Level 31
280 sqft · RM2,094 PSF
Legend Recent Highest Price Highest PSF

Selling in Lrt Station Damai? Homes here sold for a median of RM586,000.

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

List your property free

Posts about Lrt Station Damai

What’s happening in Lrt Station Damai?

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

Residensi Damai Indah
© OpenStreetMap · CARTO

Lrt Station Damai, Kampung Datuk Keramat, 54000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Lrt Station Damai in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions between 2021 and 2026, sized between 275 and 324 sqft, with a median price of RM586K and a median price per square foot (PSF) of RM2,094.

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 serviced apartment, with minimal variety in property types.

For price per square foot, the median is RM2,094, with most transactions between RM2,094 and RM2,094. The usual range is RM2,066.40 to RM2,121.40, showing that most units are priced quite close to each other. With an IQR of RM55.00 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.