Rumah Pangsa Kos Rendah Kasturi

Jalan CU1, Taman Cheras Utama, 43200 Kuala Lumpur, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

11 subsales grouped by size

Median
RM 216,000
PSF
RM 329
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM 42,000
Level 14
657 sqft · RM 64 PSF
RM 216,000
Level 5
657 sqft · RM 329 PSF
RM 210,000
Level 5
657 sqft · RM 320 PSF
RM 250,000
Level 3
657 sqft · RM 381 PSF
RM 215,000
Level 10
657 sqft · RM 327 PSF
RM 300,000
Level 12
657 sqft · RM 457 PSF
+5 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 216,000

RM 329 psf

Median transaction price

Rumah Pangsa Kos Rendah Kasturi
© OpenStreetMap · CARTO

Jalan CU1, Taman Cheras Utama, 43200 Kuala Lumpur, Selangor, Malaysia

Maps

Rumah Pangsa Kos Rendah Kasturi in Kuala Lumpur, Kuala Lumpur recorded 11 subsale transactions between 2021 and 2026, with a median price of RM 216K and a median price per square foot (PSF) of RM 329.

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 216K, with most transactions falling within a stable range of RM 150K to RM 282K, and a typical market range of RM 195K to RM 237K.

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

Price per square foot shows a median of RM 329, though individual units vary from RM 228 to RM 430 in the core range. The broader market spans RM 296.97 to RM 360.97, indicating diverse property characteristics. A wider spread (IQR: RM 64.00) and deviation (MAD: RM 101) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.