Taman Era Simpang Rengam

Taman Era, Kampung Hashim, 86200 Simpang Renggam, Johor, Malaysia

Property Transactions

11 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM406,000
Jalan Era 10
1,760 sqft RM231 PSF
RM406,000
Jalan Era 10
1,760 sqft RM231 PSF
RM406,000
Jalan Era
1,760 sqft RM231 PSF
RM406,000
Jalan Era
1,760 sqft RM231 PSF
RM406,000
Jalan Era
1,760 sqft RM231 PSF
RM406,000
Jalan Era
1,760 sqft RM231 PSF
RM406,000
Jalan Era
1,760 sqft RM231 PSF
RM406,000
Jalan Era
1,760 sqft RM231 PSF
RM406,000
Jalan Era
1,760 sqft RM231 PSF
RM406,000
Jalan Era
1,760 sqft RM231 PSF
RM406,000
Jalan Era
1,760 sqft RM231 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Era Simpang Rengam? Homes here sold for a median of RM406,000.

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Market Snapshot

Residential

RM406,000

RM231 psf

Median transaction price

Taman Era Simpang Rengam
© OpenStreetMap · CARTO

Taman Era, Kampung Hashim, 86200 Simpang Renggam, Johor, Malaysia

Maps

Taman Era Simpang Rengam in Kluang, Johor recorded 11 subsale transactions between 2021 and 2026, sized between 1,725 and 1,774 sqft, with a median price of RM406K and a median price per square foot (PSF) of RM231.

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 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM231, with most transactions between RM231 and RM231. The usual range is RM212.42 to RM248.92, showing that most units are priced quite close to each other. A typical spread (IQR) of RM36.50 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.