Taman Benta Jaya

Taman Saujana Utama, Mukim Budu, Lipis, Pahang, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM158,500
PSF
RM130
Period
transactions middle 50% (P25–P75)
1,000 sqft
LC House
RM130,000
Taman Benta Jaya
1,001 sqft · RM130 PSF
1,400 sqft
Terrace
RM162,000
Taman Benta Jaya
1,399 sqft · RM116 PSF
RM155,000
Taman Benta Jaya
1,399 sqft · RM111 PSF
1,500 sqft
2-Sty Terrace
RM240,000
Taman Benta Jaya
1,518 sqft · RM158 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Benta Jaya? Homes here sold for a median of RM158,500.

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TAMAN BENTA JAYA, Taman Saujana Utama, Mukim Budu, Lipis, Pahang, Malaysia

Taman Benta Jaya in Lipis, Pahang recorded 4 subsale transactions between 2021 and 2026, with a median price of RM159K and a median price per square foot (PSF) of RM130.

Nothing is listed in Taman Benta Jaya 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 RM159K, with most transactions falling within a stable range of RM143K to RM175K, and a typical market range of RM142K to RM175K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

For price per square foot, the median is RM130, with most transactions between RM120 and RM139. The usual range is RM116.99 to RM142.74, showing that most units are priced quite close to each other. A typical spread (IQR) of RM25.75 and an average deviation (MAD) of RM10 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.