Damai 88
Kampung Datuk Keramat, 55000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Kampung Datuk Keramat, 55000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 14
|
RM2,300,000
|
RM1,088
|
2,115 sqft
|
|
Posts about Damai 88
No posts about Damai 88 yet. Be the first to share what’s happening here.
Nearby areas in Kuala Lumpur Town Centre
Residensi Agile Delima
Residensi Lavile
Platinum Suites
Suria Stonor Service Apartment
Lrt Station Damai
Rica Residence Sentul
Aria Luxury Residence
Star Residences One
Residensi Tun Razak
Dorsett Residences Bukit Bintang
Sunway Velocity
KL Eco City
Damai 88
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Kuala Lumpur Town Centre
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Does DAMAI 88 rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
See the yield with PlusRM59 a month, cancel any time
Kampung Datuk Keramat, 55000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsDamai 88 in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions between 2021 and 2026, with a median price of RM2.30 million and a median price per square foot (PSF) of RM1,088.
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.
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.