Taman Kajang Perdana

43000 Kajang, Selangor, Malaysia

Property Transactions

4 subsales grouped by size · 2-Sty Terrace →

Median
RM 981,500
PSF
RM 413
Price Size
Period
transactions middle 50% (P25–P75)
1,650 sqft
2-Sty Terrace
RM 700,000
Jalan Kajang Perdana 12/6
1,668 sqft · RM 420 PSF
2,450 sqft
2-Sty Shop
RM 1,000,000
Jalan Kajang Perdana 2/2
2,465 sqft · RM 406 PSF
RM 963,000
Jalan Kajang Perdana 3/2
2,465 sqft · RM 391 PSF
3,550 sqft
2-Sty Shop
RM 1,800,000
Jalan Kajang Perdana 3/1
3,552 sqft · RM 507 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 700,000

RM 420 psf

Median transaction price

RM 1,000,000

RM 406 psf

Median transaction price

Taman Kajang Perdana
© OpenStreetMap · CARTO

Taman Kajang Perdana, 43000 Kajang, Selangor, Malaysia

Maps

Taman Kajang Perdana in Hulu Langat, Selangor recorded 4 subsale transactions in 2023, with a median price of RM 982K and a median price per square foot (PSF) of RM 413.

This area contains both residential and commercial properties. View 20 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 982K, with most transactions falling within a stable range of RM 700K to RM 1.39 million, and a typical market range of RM 807K to RM 1.16 million.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM 413, with core pricing between RM 368 and RM 458. Market pricing typically extends from RM 333.13 to RM 492.13, reflecting moderate variation in unit pricing. With an IQR of RM 159.00 and MAD of RM 45, the PSF demonstrates reasonable consistency across the market.

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.