Taman Rengit Indah -Tr. 11

Taman Rengit Indah,Jalan Pontian, 83100 Rengit, Johor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 170,000
PSF
RM 226
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
2-Sty Terrace
RM 165,000
Jalan Rengit Indah 8
689 sqft · RM 240 PSF
750 sqft
2-Sty Terrace
RM 120,000
Jalan Rengit Indah 10
743 sqft · RM 162 PSF
RM 170,000
Jalan Rengit Indah 10
753 sqft · RM 226 PSF
1,550 sqft
Terrace
RM 265,000
Jalan Rengit Indah 5
1,539 sqft · RM 172 PSF
1,750 sqft
2-Sty Terrace
RM 530,000
Jalan Rengit Indah 2
1,733 sqft · RM 306 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 170,000

RM 226 psf

Median transaction price

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Taman Rengit Indah,Jalan Pontian, 83100 Rengit, Johor, Malaysia

Maps

Taman Rengit Indah -Tr. 11 in Batu Pahat, Johor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 170K and a median price per square foot (PSF) of RM 226.

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 170K, with most transactions falling within a stable range of RM 120K to RM 318K, and a typical market range of RM 120K to RM 245K.

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

Price per square foot shows a median of RM 226, though individual units vary from RM 174 to RM 278 in the core range. The broader market spans RM 207.12 to RM 244.12, indicating diverse property characteristics. The spread of RM 37.00 (IQR) and deviation of RM 52 (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.