Taman Okid Simpang Rengam

Jalan Okid, 86200 Simpang Renggam, Johor Darul Ta'zim, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 390,000
PSF
RM 152
Price Size
Period
transactions middle 50% (P25–P75)
600 sqft
LC House
RM 95,000
Jalan Langsat
623 sqft · RM 152 PSF
650 sqft
LC House
RM 129,000
Jalan Langsat
626 sqft · RM 206 PSF
3,350 sqft
Cluster
RM 550,000
Jalan Okid 4
3,325 sqft · RM 165 PSF
3,650 sqft
Terrace
RM 390,000
Jalan Orkid 2
3,662 sqft · RM 106 PSF
4,850 sqft
Semi-D
RM 650,000
Jalan Okid 1
4,856 sqft · RM 134 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 390,000

RM 152 psf

Median transaction price

Taman Okid Simpang Rengam
© OpenStreetMap · CARTO

Jalan Okid, 86200 Simpang Renggam, Johor Darul Ta'zim, Malaysia

Maps

Taman Okid Simpang Rengam in Kluang, Johor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 390K and a median price per square foot (PSF) of RM 152.

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 390K, with most transactions falling within a stable range of RM 169K to RM 611K, and a typical market range of RM 314K to RM 467K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM 152, though individual units vary from RM 119 to RM 186 in the core range. The broader market spans RM 133.43 to RM 171.43, indicating diverse property characteristics. The spread of RM 38.00 (IQR) and deviation of RM 33 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.