Forest City

Jalan Forest City 1, Forest City, Pulau Satu, 81500 Johor Bahru, Johor, Malaysia

Property Transactions

9 subsales grouped by size · Serviced Apt →

Median
RM 450,000
PSF
RM 597
Price Size
Period
transactions middle 50% (P25–P75)
500 sqft
Serviced Apt
RM 260,000
Level 24
517 sqft · RM 503 PSF
RM 492,000
Level 22
517 sqft · RM 952 PSF
RM 370,000
Level 29
517 sqft · RM 716 PSF
RM 308,000
Level 21
517 sqft · RM 596 PSF
600 sqft
Serviced Apt
RM 360,000
Level 26
603 sqft · RM 597 PSF
650 sqft
Serviced Apt
RM 700,000
Level 6
635 sqft · RM 1,102 PSF
900 sqft
Serviced Apt
RM 450,000
Level 25
904 sqft · RM 498 PSF
2,800 sqft
Cluster
RM 1,681,000
Jalan Pinggiran 2/3
2,799 sqft · RM 601 PSF
2,950 sqft
Cluster
RM 1,429,000
Jalan Pinggiran 5
2,928 sqft · RM 488 PSF
Legend Recent Highest Price Highest PSF

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Forest City
© OpenStreetMap · CARTO

Jalan Forest City 1, Forest City, Pulau Satu, 81500 Johor Bahru, Johor, Malaysia

Maps

Forest City in Johor Bahru, Johor recorded 9 subsale transactions in 2025, with a median price of RM 450K and a median price per square foot (PSF) of RM 597.

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 450K, with most transactions falling within a stable range of RM 260K to RM 940K, and a typical market range of RM 267K to RM 634K.

Most transactions involved serviced apartment, though some variety exists in the market.

Price per square foot shows a median of RM 597, though individual units vary from RM 393 to RM 801 in the core range. The broader market spans RM 328.23 to RM 866.23, indicating diverse property characteristics. A wider spread (IQR: RM 538.00) and deviation (MAD: RM 204) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.