Kiara 1888

Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of 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 found

Median
RM1,200,000
PSF
RM504
Price Size
Period
transactions middle 50% (P25–P75)
RM1,200,000
Level 5
2,379 sqft RM504 PSF
Legend Recent Highest Price Highest PSF

Posts about Kiara 1888

What’s happening in Kiara 1888?

No posts about Kiara 1888 yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM1,200,000

RM504 psf

Median transaction price

Average

Does KIARA 1888 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

Loading map...

Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Kiara 1888 in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions between 2021 and 2026, sized between 2,375 and 2,424 sqft, with a median price of RM1.20 million and a median price per square foot (PSF) of RM504.

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 condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM504, with most transactions between RM504 and RM504. The usual range is RM462.08 to RM546.83, showing that most units are priced quite close to each other. With an IQR of RM84.75 and MAD of RM0, 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.