Property Type
| LIST.MY · Taman Makmor | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Pers.makmor 3
|
RM325,000
|
RM123
|
2,648 sqft
|
|
2-Sty Shop |
|
Persiaran Makmur 1
|
RM270,000
|
RM102
|
2,648 sqft
|
|
2-Sty Shop |
| 2022 | |||||
|
Pers.makmor 3
|
RM300,000
|
RM113
|
2,648 sqft
|
|
2-Sty Shop |
|
Persiaran Makmor 1
|
RM300,000
|
RM113
|
2,648 sqft
|
|
2-Sty Shop |
|
Taman Makmor
|
RM210,000
|
RM79
|
2,648 sqft
|
|
2-Sty Shop |
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Taman Makmor
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 Sungei Siput
Market Snapshot
RM167,500
RM125 psfMedian transaction price
RM300,000
RM113 psfMedian transaction price
Taman Makmor, Kuala Kangsar, Perak
Taman Makmor in Kuala Kangsar, Perak recorded 5 subsale transactions between 2021 and 2026, sized between 2,625 and 2,674 sqft, with a median price of RM300K and a median price per square foot (PSF) of RM113.
This area contains both residential and commercial properties. View 12 residential properties or 7 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM300K, with most transactions falling within a stable range of RM260K to RM325K, and a typical market range of RM235K to RM325K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
The median PSF stands at RM113, with core pricing between RM98 and RM128. Market pricing typically extends from RM81.05 to RM145.55, reflecting moderate variation in unit pricing. With an IQR of RM64.50 and MAD of RM15, the PSF demonstrates reasonable consistency across the market.
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.