Taman Segar, Sungai Segamat - Tr 590

Taman Segar, 85000 Segamat, Johor Darul Ta'zim, Malaysia

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC House
RM89,000
Jalan Cenderawasih 18
630 sqft · RM141 PSF
RM75,000
Jalan Cenderawasih 18
630 sqft · RM119 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Segar, Sungai Segamat - Tr 590

What’s happening in Taman Segar, Sungai Segamat - Tr 590?

No posts about Taman Segar, Sungai Segamat - Tr 590 yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM82,000

RM130 psf

Median transaction price

Taman Segar, Sungai Segamat - Tr 590
© OpenStreetMap · CARTO

Taman Segar, 85000 Segamat, Johor Darul Ta'zim, Malaysia

Maps

Taman Segar, Sungai Segamat - Tr 590 in Segamat, Johor recorded 2 subsale transactions between 2021 and 2026, sized between 625 and 674 sqft, with a median price of RM82K and a median price per square foot (PSF) of RM130.

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 RM82K, with most transactions falling within a stable range of RM75K to RM89K, and a typical market range of RM75K to RM89K.

Most transactions involved low-cost house, with moderate diversity in property types available.

For price per square foot, the median is RM130, with most transactions between RM119 and RM141. The usual range is RM113.16 to RM147.16, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.00 and an average deviation (MAD) of RM11 indicate a highly stable PSF trend across properties.

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.