Pangsapuri Selangorku Seruni

Jalan Kiara, Bandar Sungai Long, 43000 Kajang, Selangor, 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

2 subsales found

Median
RM71,000
PSF
RM133
Period
transactions middle 50% (P25–P75)
RM100,000
Level 4
753 sqft RM133 PSF
RM42,000
Level 4
700 sqft RM60 PSF
Legend Recent Highest Price Highest PSF

New Launches in Selangor

View all

Posts about Pangsapuri Selangorku Seruni

What’s happening in Pangsapuri Selangorku Seruni?

No posts about Pangsapuri Selangorku Seruni yet. Be the first to share what’s happening here.

Pangsapuri Selangorku Seruni
© OpenStreetMap · CARTO

Jalan Kiara, Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia

Maps

Pangsapuri Selangorku Seruni in Hulu Langat, Selangor recorded 2 subsale transactions between 2021 and 2026, with a median price of RM71K and a median price per square foot (PSF) of RM133.

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 RM71K, with most transactions falling within a stable range of RM42K to RM100K, and a typical market range of RM57K to RM86K.

Most transactions involved low-cost flat, with minimal variety in property types.

Price per square foot shows a median of RM133, though individual units vary from RM97 to RM170 in the core range. The broader market spans RM114.75 to RM151.25, indicating diverse property characteristics. A wider spread (IQR: RM36.50) and deviation (MAD: RM37) indicate significant PSF variations, likely due to diverse property types or conditions.

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.