Kajang 2

Persiaran Kajang 2 Selatan, 43500 Semenyih, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 1,009,000
PSF
RM 549
2,000 sqft
2-Sty Terrace
RM 795,000
Jalan Suria 3A/1
2,002 sqft · RM 397 PSF
RM 1,100,000
Jalan Suria 3A/1
2,002 sqft · RM 549 PSF
RM 750,000
Jalan Suria 3A/3A
2,002 sqft · RM 375 PSF
RM 1,297,000
Jalan Suria 3A/2
2,002 sqft · RM 648 PSF
RM 1,400,000
Jalan Suria 3/3
2,002 sqft · RM 699 PSF
RM 750,000
Jalan Suria 3A/3
2,002 sqft · RM 375 PSF
RM 1,009,000
Jalan Suria 3/3A
2,002 sqft · RM 504 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 1,009,000

RM 487 psf

Median transaction price

Kajang 2
© OpenStreetMap · CARTO

Persiaran Kajang 2 Selatan, 43500 Semenyih, Selangor, Malaysia

Maps

Kajang 2 in Hulu Langat, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 1.01 million and a median price per square foot (PSF) of RM 549.

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 1.01 million, with most transactions falling within a stable range of RM 750K to RM 1.27 million, and a typical market range of RM 796K to RM 1.22 million.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

Price per square foot shows a median of RM 549, though individual units vary from RM 428 to RM 670 in the core range. The broader market spans RM 476.68 to RM 622.18, indicating diverse property characteristics. The spread of RM 145.50 (IQR) and deviation of RM 121 (MAD) suggest moderate price variations reflecting different property features.

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.