| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Teratai 8
|
RM150,000
|
RM145
|
1,033 sqft
|
|
|
Jalan Teratai 4
|
RM150,000
|
RM137
|
1,098 sqft
|
|
|
Jalan Teratai 8
|
RM180,000
|
RM138
|
1,302 sqft
|
|
|
Taman Teratai
|
RM315,000
|
RM131
|
2,411 sqft
|
|
Selling in Taman Teratai? Homes here sold for a median of RM165,000.
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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 Mukim Budu
Market Snapshot
ResidentialRM165,000
RM138 psfMedian transaction price
Taman Teratai, Lipis, Pahang
Taman Teratai in Lipis, Pahang recorded 4 subsale transactions between 2021 and 2026, with a median price of RM165K and a median price per square foot (PSF) of RM138.
Nothing is listed in Taman Teratai right now. Browse properties for sale in Mukim Budu and properties for rent in Mukim Budu nearby, then use the 4 sales recorded here to judge whether an asking price is fair.
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 RM165K, with most transactions falling within a stable range of RM150K to RM180K, and a typical market range of RM150K to RM197K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
For price per square foot, the median is RM138, with most transactions between RM135 and RM142. The usual range is RM135.88 to RM140.13, showing that most units are priced quite close to each other. A typical spread (IQR) of RM4.25 and an average deviation (MAD) of RM4 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.