Taman Kajang Utama

43000 Kajang, Selangor, Malaysia

Property Transactions

5 subsales grouped by size · Terrace →

Median
RM 500,000
PSF
RM 385
Price Size
1,300 sqft
Terrace
RM 450,000
Jalan Seksyen 1/3
1,300 sqft · RM 346 PSF
RM 500,000
Jalan Seksyen 1/11
1,300 sqft · RM 385 PSF
1,800 sqft
Terrace Factory
RM 1,050,000
Jalan Seksyen 2/18
1,776 sqft · RM 591 PSF
RM 1,100,000
Jalan Seksyen 1/21
1,776 sqft · RM 619 PSF
3,150 sqft
2-Sty Shop
RM 500,000
Jalan Seksyen 2/14
3,143 sqft · RM 159 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 475,000

RM 365 psf

Median transaction price

RM 1,050,000

RM 591 psf

Median transaction price

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Taman Kajang Utama, 43000 Kajang, Selangor, Malaysia

Maps

Taman Kajang Utama in Hulu Langat, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 500K and a median price per square foot (PSF) of RM 385.

This area contains both residential and commercial properties. View 31 residential properties or 11 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 500K, with most transactions falling within a stable range of RM 450K to RM 791K, and a typical market range of RM 450K to RM 618K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM 385, though individual units vary from RM 215 to RM 554 in the core range. The broader market spans RM 345.01 to RM 424.26, indicating diverse property characteristics. A wider spread (IQR: RM 79.25) and deviation (MAD: RM 170) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.