Sri Lojing

Jalan 4/27E, Seksyen 10 Wangsa Maju, 53300 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
RM450,000
PSF
RM402
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
Condo
RM450,000
Level 3
1,119 sqft · RM402 PSF
Legend Recent Highest Price Highest PSF

Selling in Sri Lojing? Homes here sold for a median of RM450,000.

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

List your property free

Posts about Sri Lojing

What’s happening in Sri Lojing?

No posts about Sri Lojing yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM450,000

RM402 psf

Median transaction price

Sri Lojing
© OpenStreetMap · CARTO

Jalan 4/27E, Seksyen 10 Wangsa Maju, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Sri Lojing in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM450K and a median price per square foot (PSF) of RM402.

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 RM402, with most transactions between RM402 and RM402. The usual range is RM361.73 to RM442.23, showing that most units are priced quite close to each other. With an IQR of RM80.50 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.