| LIST.MY · Taman Chengal Indah, Triang | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Chemgel Indah
|
RM248,000
|
RM190
|
1,302 sqft
|
|
Terrace |
|
Jalan Chengal Indah
|
RM248,000
|
RM190
|
1,302 sqft
|
|
Terrace |
|
Jalan Taman Chengal Indah
|
RM258,000
|
RM198
|
1,302 sqft
|
|
Terrace |
|
Jalan Chengel Indah
|
RM258,000
|
RM198
|
1,302 sqft
|
|
Terrace |
| 2023 | |||||
|
Jalan Chengal
|
RM248,000
|
RM190
|
1,302 sqft
|
|
Terrace |
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Taman Chengal Indah, Triang
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 Teriang
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Market Snapshot
ResidentialRM248,000
RM190 psfMedian transaction price
Taman Chengal Indah, Triang in Bera, Pahang recorded 5 subsale transactions between 2021 and 2026, sized between 1,275 and 1,324 sqft, with a median price of RM248K and a median price per square foot (PSF) of RM190.
This area contains both residential and commercial properties. View 9 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM248K, with most transactions falling within a stable range of RM248K to RM253K, and a typical market range of RM248K to RM255K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM190, with most transactions between RM187 and RM194. The usual range is RM177.04 to RM203.79, showing that most units are priced quite close to each other. A typical spread (IQR) of RM26.75 and an average deviation (MAD) of RM4 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.