| LIST.MY · Taman Saga Indah | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Saga Indah 2
|
RM150,000
|
RM137
|
1,098 sqft
|
|
LC House |
|
Jalan Saga Indah 2/3
|
RM188,000
|
RM171
|
1,098 sqft
|
|
LC House |
| 2022 | |||||
|
Jalan Saga Indah 2/3
|
RM170,000
|
RM155
|
1,098 sqft
|
|
LC House |
Selling in Taman Saga Indah? Homes here sold for a median of RM170,000.
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Taman Rimba (Pec Lot 3021)
Taman Rimba Emas
Taman Saga Indah
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Taman Rimba (Pec Lot 1135)
Taman Sri Layang Height
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 Mentakab
Market Snapshot
ResidentialRM170,000
RM155 psfMedian transaction price
Taman Saga Indah, Temerloh, Pahang
Taman Saga Indah in Temerloh, Pahang recorded 3 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM170K and a median price per square foot (PSF) of RM155.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM170K, with most transactions falling within a stable range of RM154K to RM186K, and a typical market range of RM150K to RM188K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM155, with most transactions between RM141 and RM169. The usual range is RM136.22 to RM173.47, showing that most units are priced quite close to each other. A typical spread (IQR) of RM37.25 and an average deviation (MAD) of RM14 indicate a highly stable PSF trend across properties.
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.