1 Petaling

2, Jalan 1c/149, Bandar Baru Sri Petaling, 57100 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 found

Median
RM400,000
PSF
RM368
Price Size
Period
transactions middle 50% (P25–P75)
RM400,000
Level 14
1,087 sqft RM368 PSF
Legend Recent Highest Price Highest PSF

Posts about 1 Petaling

What’s happening in 1 Petaling?

No posts about 1 Petaling yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM400,000

RM368 psf

Median transaction price

Average

Does 1 PETALING 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

1 Petaling
© OpenStreetMap · CARTO

2, Jalan 1c/149, Bandar Baru Sri Petaling, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

1 Petaling 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 RM400K and a median price per square foot (PSF) of RM368.

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 RM368, with most transactions between RM368 and RM368. The usual range is RM341.93 to RM393.93, showing that most units are priced quite close to each other. With an IQR of RM52.00 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.