Taman Temenggung Makmur

Makmur, no 3, Jalan Makmur 3, Taman Sri Temenggong, 84000 Muar, Johor Darul Ta'zim, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 585,000
PSF
RM 316
Price Size
Period
transactions middle 50% (P25–P75)
1,850 sqft
2-Sty Terrace
RM 570,000
Jalan Makmur 1 (Buka 22')
1,841 sqft · RM 310 PSF
RM 575,000
Jalan Makmur 1 (Buka 22')
1,841 sqft · RM 312 PSF
RM 585,000
Jalan Makmur 1 (Buka 22')
1,841 sqft · RM 318 PSF
RM 585,000
Jalan Temenggong Ahmad
1,851 sqft · RM 316 PSF
1,950 sqft
2-Sty Terrace
RM 625,000
Taman Temenggong Makmur (Buka 21')
1,970 sqft · RM 317 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 585,000

RM 316 psf

Median transaction price

Taman Temenggung Makmur
© OpenStreetMap · CARTO

Makmur, no 3, Jalan Makmur 3, Taman Sri Temenggong, 84000 Muar, Johor Darul Ta'zim, Malaysia

Maps

Taman Temenggung Makmur in Muar, Johor recorded 5 subsale transactions in 2022, with a median price of RM 585K and a median price per square foot (PSF) of RM 316.

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 585K, with most transactions falling within a stable range of RM 570K to RM 604K, and a typical market range of RM 570K to RM 625K.

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

For price per square foot, the median is RM 316, with most transactions between RM 313 and RM 319. The usual range is RM 281.98 to RM 349.98, showing that most units are priced quite close to each other. With an IQR of RM 68.00 and MAD of RM 3, the PSF demonstrates reasonable consistency across the market.

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.