| Price | PSF | Size | Date | Type |
|---|
|
RM180,000
|
RM104
|
1,733 sqft
|
|
Semi-D |
|
RM320,000
|
RM88
|
3,626 sqft
|
|
Bungalow |
|
RM190,000
|
RM53
|
3,575 sqft
|
|
Bungalow |
Posts about Kampung Poh Chee Leng
No posts about Kampung Poh Chee Leng yet. Be the first to share what’s happening here.
Nearby areas in Pulai
Taman Bukit Indah
Horizon Hill
Taman Universiti
Taman Ungku Tun Aminah
Taman Mutiara Rini
Taman Pulai Mutiara 2
Taman Perling
Taman Pulai Mutiara
Bandar Selesa Jaya
Taman Skudai Baru
Taman Tampoi Indah
Laman Setia
Kampung Poh Chee Leng
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 Pulai
Kampung Poh Chee Leng, 81300 Skudai, Johor Darul Ta'zim, Malaysia
MapsKampung Poh Chee Leng in Johor Bahru, Johor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM320K and a median price per square foot (PSF) of RM104.
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 RM320K, with most transactions falling within a stable range of RM180K to RM460K, and a typical market range of RM180K to RM470K.
Most transactions involved detached, though some variety exists in the market.
Price per square foot shows a median of RM104, though individual units vary from RM53 to RM155 in the core range. The broader market spans RM69.39 to RM138.39, indicating diverse property characteristics. A wider spread (IQR: RM69.00) and deviation (MAD: RM51) 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.