Kaw Bukit Cagar/Lumba Kuda/Taman Kurnia

Jalan Lumba Kuda, 80300 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 765,000
PSF
RM 480
Price Size
Period
transactions middle 50% (P25–P75)
1,600 sqft
Condo
RM 850,000
Level 5
1,593 sqft · RM 534 PSF
RM 680,000
Level 10
1,593 sqft · RM 427 PSF
1,650 sqft
Condo
RM 950,000
Level 3
1,625 sqft · RM 584 PSF
3,150 sqft
Terrace
RM 600,000
Jalan Lumba Kuda
3,156 sqft · RM 190 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 765,000

RM 480 psf

Median transaction price

Kaw Bukit Cagar/Lumba Kuda/Taman Kurnia
© OpenStreetMap · CARTO

Jalan Lumba Kuda, 80300 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Kaw Bukit Cagar/Lumba Kuda/Taman Kurnia in Johor Bahru, Johor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 765K and a median price per square foot (PSF) of RM 480.

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 765K, with most transactions falling within a stable range of RM 627K to RM 903K, and a typical market range of RM 616K to RM 914K.

Most transactions involved condominium/apartment, with high diversity across multiple property types.

Price per square foot shows a median of RM 480, though individual units vary from RM 328 to RM 632 in the core range. The broader market spans RM 401.34 to RM 559.09, indicating diverse property characteristics. A wider spread (IQR: RM 157.75) and deviation (MAD: RM 152) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.