Bandar Ioi Fasa 19, Sungai Segamat

Bandar Putra, 85000 Segamat District, Johor, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
2-Sty Terrace
RM80,000
Bandar Putra 19C
850 sqft · RM94 PSF
RM80,000
Bandar Putra 19C
850 sqft · RM94 PSF
RM80,000
Bandari Ioi Fasa 19C
850 sqft · RM94 PSF
RM121,000
Bandar Ioi Fasa 19C
850 sqft · RM142 PSF
RM80,000
Bandar Putra 19C
850 sqft · RM94 PSF
RM80,000
Bandar Putra 19C
850 sqft · RM94 PSF
2,950 sqft
Terrace
RM398,000
Jalan Putra 3/2
2,949 sqft · RM135 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM80,000

RM94 psf

Median transaction price

Bandar Ioi Fasa 19, Sungai Segamat
© OpenStreetMap · CARTO

Bandar Putra, 85000 Segamat District, Johor, Malaysia

Maps

Bandar Ioi Fasa 19, Sungai Segamat in Segamat, Johor recorded 7 subsale transactions in 2023, with a median price of RM80K and a median price per square foot (PSF) of RM94.

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 RM80K, with most transactions falling within a stable range of RM80K to RM190K, and a typical market range of RM80K to RM215K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM94, though individual units vary from RM74 to RM114 in the core range. The broader market spans RM53.58 to RM134.58, indicating diverse property characteristics. The spread of RM81.00 (IQR) and deviation of RM20 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.