Ixora Apartment

off, Jln Tun Razak, Pudu, 55100 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
RM 600K
Size
800 sqft

No Transactions Found

We couldn't find any transactions matching your current filters in Ixora Apartment.

Adjust Your Filters

Clear All Filters

Posts about Ixora Apartment

What’s happening in Ixora Apartment?

No posts about Ixora Apartment yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 338,000

RM 345 psf

Median transaction price

High

Rental Yield Data

Available with List.my Plus.

Unlock Access
Ixora Apartment
© OpenStreetMap · CARTO

Ixora Apartment, off, Jln Tun Razak, Pudu, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Ixora Apartment in Kuala Lumpur, Kuala Lumpur recorded 0 subsale transactions between 2021 and 2026, with a median price of RM 338K and a median price per square foot (PSF) of RM 345.

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 RM 338K, with most transactions falling within a stable range of RM 308K to RM 368K, and a typical market range of RM 310K to RM 366K.

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

For price per square foot, the median is RM 345, with most transactions between RM 314 and RM 376. The usual range is RM 316.88 to RM 373.13, showing that most units are priced quite close to each other. With an IQR of RM 56.25 and MAD of RM 31, 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.