Kaw Bukit Cagar/Lumba Kuda/Taman Kurnia

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

Property Transactions

6 subsales grouped by size

Median
RM 625,000
PSF
RM 404
Price Size
Period
transactions middle 50% (P25–P75)
1,500 sqft
Condo
RM 600,000
Level 10
1,518 sqft · RM 395 PSF
RM 660,000
Level 6
1,518 sqft · RM 435 PSF
RM 625,000
Level 2
1,518 sqft · RM 412 PSF
RM 625,000
Level 3
1,518 sqft · RM 412 PSF
2,150 sqft
Terrace
RM 615,000
Jalan Tenteram
2,152 sqft · RM 286 PSF
3,250 sqft
Terrace
RM 920,000
Jalan Ah Siang
3,242 sqft · RM 284 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 625,000

RM 404 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 6 subsale transactions in 2022, with a median price of RM 625K and a median price per square foot (PSF) of RM 404.

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 625K, with most transactions falling within a stable range of RM 600K to RM 736K, and a typical market range of RM 600K to RM 774K.

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

The median PSF stands at RM 404, with core pricing between RM 342 and RM 465. Market pricing typically extends from RM 324.64 to RM 482.39, reflecting moderate variation in unit pricing. The spread of RM 157.75 (IQR) and deviation of RM 62 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.