Property Type
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2024 | |||||
|
Jalan Makmur 10
|
RM 230,000
|
RM 299
|
770 sqft
|
|
LC House |
|
Jalan Makmur 8
|
RM 315,000
|
RM 205
|
1,540 sqft
|
|
Terrace |
|
Jalan Makmur 10
|
RM 240,000
|
RM 310
|
775 sqft
|
|
LC House |
|
Jalan Makmur 4
|
RM 530,000
|
RM 178
|
2,971 sqft
|
|
Terrace |
|
Jalan Makmur 10
|
RM 320,000
|
RM 413
|
775 sqft
|
|
LC House |
|
Jalan Makmur 7
|
RM 330,000
|
RM 214
|
1,539 sqft
|
|
Terrace |
|
Jalan Makmur 12
|
RM 280,000
|
RM 361
|
775 sqft
|
|
LC House |
|
Jalan Makmur 10
|
RM 270,000
|
RM 348
|
775 sqft
|
|
LC House |
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Market Snapshot
ResidentialRM 297,500
RM 304 psfMedian transaction price
Taman Makmur, 81000 Kulai, Johor Darul Ta'zim, Malaysia
MapsTaman Makmur in Kulai, Johor recorded 8 subsale transactions in 2024, with a median price of RM 298K and a median price per square foot (PSF) of RM 304.
This area contains both residential and commercial properties. View 31 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 298K, with most transactions falling within a stable range of RM 230K to RM 386K, and a typical market range of RM 244K to RM 351K.
Most transactions involved low-cost house, with high diversity across multiple property types.
Price per square foot shows a median of RM 304, though individual units vary from RM 226 to RM 383 in the core range. The broader market spans RM 261.95 to RM 346.45, indicating diverse property characteristics. A wider spread (IQR: RM 84.50) and deviation (MAD: RM 79) indicate significant PSF variations, likely due to diverse property types or conditions.
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.