Taman Makmur 2, Pogoh

52, Jln Makmur 11, Taman Makmur 2, 85000 Bukit Siput, Johor Darul Ta'zim, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,050 sqft
2-Sty Terrace
RM435,000
Jalan Makmur 8
2,067 sqft · RM210 PSF
RM400,000
Jalan Makmur 8
2,067 sqft · RM194 PSF
2,100 sqft
2-Sty Terrace
RM490,000
Jalan Makmur 9
2,077 sqft · RM236 PSF
2,450 sqft
2-Sty Terrace
RM555,000
Jalan Makmur 9
2,443 sqft · RM227 PSF
3,000 sqft
2-Sty Terrace
RM640,000
Jalan Makmur 9
3,025 sqft · RM212 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Makmur 2, Pogoh? Homes here sold for a median of RM490,000.

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Market Snapshot

Residential

RM490,000

RM212 psf

Median transaction price

Taman Makmur 2, Pogoh
© OpenStreetMap · CARTO

52, Jln Makmur 11, Taman Makmur 2, 85000 Bukit Siput, Johor Darul Ta'zim, Malaysia

Maps

Taman Makmur 2, Pogoh in Segamat, Johor recorded 5 subsale transactions in 2022, with a median price of RM490K and a median price per square foot (PSF) of RM212.

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 RM490K, with most transactions falling within a stable range of RM404K to RM576K, and a typical market range of RM420K to RM560K.

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

For price per square foot, the median is RM212, with most transactions between RM197 and RM226. The usual range is RM187.47 to RM235.72, showing that most units are priced quite close to each other. A typical spread (IQR) of RM48.25 and an average deviation (MAD) of RM15 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.