Property Type
| Price | PSF | Size | Date | Type |
|---|
|
RM408,000
|
RM132
|
3,100 sqft
|
|
|
|
RM420,000
|
RM135
|
3,111 sqft
|
|
|
|
RM383,000
|
RM117
|
3,283 sqft
|
|
|
|
RM385,000
|
RM116
|
3,326 sqft
|
|
|
|
RM381,000
|
RM118
|
3,218 sqft
|
|
|
|
RM382,000
|
RM118
|
3,240 sqft
|
|
|
|
RM450,000
|
RM99
|
4,532 sqft
|
|
|
|
RM420,000
|
RM94
|
4,489 sqft
|
|
|
RM500,000
|
RM191
|
2,616 sqft
|
|
|
|
RM600,000
|
RM229
|
2,616 sqft
|
|
|
RM350,000
|
RM114
|
3,078 sqft
|
|
Semi-D |
|
RM280,000
|
RM153
|
1,830 sqft
|
|
Terrace |
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Perak
Market Snapshot
ResidentialRM300,000
RM153 psfMedian transaction price
Taman Bukit Semantan, Temerloh, Pahang
Taman Bukit Semantan in Temerloh, Pahang recorded 15 subsale transactions between 2021 and 2026, with a median price of RM408K and a median price per square foot (PSF) of RM118.
This area contains both residential and commercial properties. View 3 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 RM408K, with most transactions falling within a stable range of RM366K to RM450K, and a typical market range of RM361K to RM455K.
Most transactions involved 1 - 1 1/2 storey semi-det2 - 2, with high diversity across multiple property types.
The median PSF stands at RM118, with core pricing between RM99 and RM137. Market pricing typically extends from RM96.63 to RM140.13, reflecting moderate variation in unit pricing. The spread of RM43.50 (IQR) and deviation of RM19 (MAD) suggest moderate price variations reflecting different property features.
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.