| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Makmur 11
|
RM 80,000
|
RM 103
|
775 sqft
|
|
|
Jalan Makmur 11
|
RM 150,000
|
RM 134
|
1,119 sqft
|
|
|
Jalan Makmur 10
|
RM 310,000
|
RM 201
|
1,539 sqft
|
|
|
|
Jalan Makmur 10
|
RM 340,000
|
RM 221
|
1,539 sqft
|
|
|
|
Jalan Makmur 10
|
RM 370,000
|
RM 240
|
1,539 sqft
|
|
|
Jalan Makmur 9
|
RM 450,000
|
RM 218
|
2,067 sqft
|
|
|
Jalan Makmur 9
|
RM 457,000
|
RM 220
|
2,077 sqft
|
|
|
|
Jalan Makmur 8
|
RM 440,000
|
RM 212
|
2,077 sqft
|
|
|
|
Jalan Makmur
|
RM 370,000
|
RM 178
|
2,077 sqft
|
|
|
|
Jalan Makmur 8
|
RM 360,000
|
RM 173
|
2,077 sqft
|
|
|
Jalan Makmur 9
|
RM 500,000
|
RM 205
|
2,443 sqft
|
|
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Market Snapshot
ResidentialRM 370,000
RM 205 psfMedian transaction price
52, Jln Makmur 11, Taman Makmur 2, 85000 Bukit Siput, Johor Darul Ta'zim, Malaysia
MapsTaman Makmur 2, Pogoh in Segamat, Johor recorded 11 subsale transactions in 2023, with a median price of RM 370K and a median price per square foot (PSF) of RM 205.
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 370K, with most transactions falling within a stable range of RM 247K to RM 493K, and a typical market range of RM 300K to RM 440K.
Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.
The median PSF stands at RM 205, with core pricing between RM 165 and RM 244. Market pricing typically extends from RM 180.51 to RM 228.76, reflecting moderate variation in unit pricing. The spread of RM 48.25 (IQR) and deviation of RM 39 (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.