Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Sena
|
RM 260,000
|
RM 169
|
1,540 sqft
|
|
|
|
Jalan Kemuning
|
RM 360,000
|
RM 234
|
1,540 sqft
|
|
|
Jalan Tg Laboh
|
RM 300,000
|
RM 152
|
1,979 sqft
|
|
|
|
Jalan Tg Laboh
|
RM 260,000
|
RM 131
|
1,981 sqft
|
|
|
Jalan Mawar
|
RM 530,000
|
RM 177
|
3,000 sqft
|
|
|
|
Jalan Mawar
|
RM 470,000
|
RM 157
|
3,000 sqft
|
|
|
|
Jalan Mawar
|
RM 405,000
|
RM 135
|
3,000 sqft
|
|
|
|
Jalan Mawar
|
RM 450,000
|
RM 150
|
3,000 sqft
|
|
|
Jalan Mawar
|
RM 480,000
|
RM 135
|
3,568 sqft
|
|
|
Jalan Kemuning Pinggir 1
|
RM 620,000
|
RM 127
|
4,876 sqft
|
|
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Market Snapshot
ResidentialRM 427,500
RM 151 psfMedian transaction price
Taman Limpoon, 83000 Batu Pahat, Johor Darul Ta'zim, Malaysia
MapsTaman Lim Poon in Batu Pahat, Johor recorded 10 subsale transactions in 2023, with a median price of RM 428K and a median price per square foot (PSF) of RM 151.
This area contains both residential and commercial properties. View 16 residential properties or 4 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 428K, with most transactions falling within a stable range of RM 314K to RM 541K, and a typical market range of RM 332K to RM 523K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
The median PSF stands at RM 151, with core pricing between RM 121 and RM 181. Market pricing typically extends from RM 114.30 to RM 187.30, reflecting moderate variation in unit pricing. The spread of RM 73.00 (IQR) and deviation of RM 30 (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.