Taman Indah Murni

Cheras, 56000 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
RM175,000
PSF
RM209
Price Size
Period
transactions middle 50% (P25–P75)
RM175,000
Level 3
839 sqft RM209 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Indah Murni? Homes here sold for a median of RM175,000.

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

List your property free

Posts about Taman Indah Murni

What’s happening in Taman Indah Murni?

No posts about Taman Indah Murni yet. Be the first to share what’s happening here.

Taman Indah Murni
© OpenStreetMap · CARTO

Cheras, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Taman Indah Murni in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions between 2021 and 2026, sized between 825 and 874 sqft, with a median price of RM175K and a median price per square foot (PSF) of RM209.

This area contains both residential and commercial properties. View 4 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved flats, with moderate diversity in property types available.

For price per square foot, the median is RM209, with most transactions between RM209 and RM209. The usual range is RM193.60 to RM223.60, showing that most units are priced quite close to each other. A typical spread (IQR) of RM30.00 and an average deviation (MAD) of RM0 indicate a highly stable PSF trend across properties.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.