Taman Kajang Utama

43000 Kajang, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
Serviced Apt
RM354,000
Level 11
904 sqft · RM392 PSF
RM362,000
Level 15
904 sqft · RM400 PSF
1,100 sqft
Serviced Apt
RM367,000
Level 19
1,119 sqft · RM328 PSF
RM228,000
Level 8
1,119 sqft · RM204 PSF
RM404,000
Level 11
1,119 sqft · RM361 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM362,000

RM361 psf

Median transaction price

RM830,000

RM409 psf

Median transaction price

Taman Kajang Utama
© OpenStreetMap · CARTO

Taman Kajang Utama, 43000 Kajang, Selangor, Malaysia

Maps

Taman Kajang Utama in Hulu Langat, Selangor recorded 5 Serviced Apt properties subsale transactions between 2021 and 2026, with a median price of RM362K and a median price per square foot (PSF) of RM361.

This area contains both residential and commercial properties. View 179 residential properties or 57 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM362K, with most transactions falling within a stable range of RM302K to RM404K, and a typical market range of RM238K to RM404K.

Within the Serviced Apt category, condominium/apartment dominated the market, with high diversity across multiple property types.

The median PSF stands at RM361, with core pricing between RM290 and RM432. Market pricing typically extends from RM301.52 to RM420.27, reflecting moderate variation in unit pricing. The spread of RM118.75 (IQR) and deviation of RM71 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.