Taman Orkid 2 Simpang Rengam

Jln Okid 2, Kampung Simpang Renggam, 86200 Simpang Renggam, Johor Darul Ta'zim, Malaysia

Property Transactions

9 subsales found

Period
transactions middle 50% (P25–P75)
RM600,000
Jalan Okid
5,157 sqft RM116 PSF
RM460,000
Jalan Okid
2,625 sqft RM175 PSF
RM490,000
Jalan Okid 3
2,625 sqft RM187 PSF
RM490,000
Jalan Okid 3
2,625 sqft RM187 PSF
RM490,000
Jalan Okid 3
2,625 sqft RM187 PSF
RM490,000
Jalan Okid 4
2,625 sqft RM187 PSF
RM490,000
Jalan Okid 3
2,625 sqft RM187 PSF
RM532,000
Jalan Okid
3,325 sqft RM160 PSF
RM600,000
Jalan Okid 3
5,028 sqft RM119 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Orkid 2 Simpang Rengam

What’s happening in Taman Orkid 2 Simpang Rengam?

No posts about Taman Orkid 2 Simpang Rengam yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM490,000

RM187 psf

Median transaction price

Loading map...

Jln Okid 2, Kampung Simpang Renggam, 86200 Simpang Renggam, Johor Darul Ta'zim, Malaysia

Maps

Taman Orkid 2 Simpang Rengam in Kluang, Johor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM490K and a median price per square foot (PSF) of RM187.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved cluster house, though some variety exists in the market.

For price per square foot, the median is RM187, with most transactions between RM187 and RM187. The usual range is RM173.16 to RM200.16, showing that most units are priced quite close to each other. A typical spread (IQR) of RM27.00 and an average deviation (MAD) of RM0 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.