| Road | Price | PSF | Size | Date | Type |
|---|
|
Off Jalan Seelong
|
RM5,323,000
|
RM45
|
118,295 sqft
|
|
|
Jalan Kampung Maju Jaya
|
RM21,000,000
|
RM158
|
133,042 sqft
|
|
Posts about Jalan Seelong - Senai
No posts about Jalan Seelong - Senai yet. Be the first to share what’s happening here.
Nearby areas in Tebrau
Taman Impian Emas
Taman Daya
Bandar Dato' Onn
Taman Mount Austin
Taman Setia Indah
Bandar Jaya Putra
Taman Desa Tebrau
Setia Tropika
Taman Puteri Wangsa
Taman Seri Austin
Taman Pelangi Indah
D'summit Residences
Jalan Seelong - Senai
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Tebrau
Promote your property to visitors of this page
Jalan Seelong, Senai, Johor, Malaysia
MapsJalan Seelong - Senai in Johor Bahru, Johor recorded 2 subsale transactions between 2021 and 2026, with a median price of RM13.16 million and a median price per square foot (PSF) of RM158.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM13.16 million, with most transactions falling within a stable range of RM5.32 million to RM21.00 million, and a typical market range of RM9.24 million to RM17.08 million.
Most transactions involved detached factory/warehouse, with minimal variety in property types.
Price per square foot shows a median of RM158, though individual units vary from RM102 to RM215 in the core range. The broader market spans RM129.75 to RM186.25, indicating diverse property characteristics. A wider spread (IQR: RM56.50) and deviation (MAD: RM57) 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.