Taman Desa Bongsu (Dato' Bahaman)

Pahang, Temerloh, Semantan

Property Transactions

11 subsales grouped by size

Median
RM155,000
PSF
RM141
Period
transactions middle 50% (P25–P75)
1,100 sqft
Terrace
RM160,000
Jalan Desa Bongsu 3
1,098 sqft · RM146 PSF
RM170,000
Jalan Desa Bongsu 4
1,098 sqft · RM155 PSF
RM165,000
Jalan Desa Bongsu 2
1,098 sqft · RM150 PSF
RM160,000
Jalan Desa Bongsu 2
1,098 sqft · RM146 PSF
RM155,000
Jalan Desa Bongsu 4
1,098 sqft · RM141 PSF
RM150,000
Jalan Desa Bongsu 4
1,098 sqft · RM137 PSF
+5 more
Legend Recent Highest Price Highest PSF

Posts about Taman Desa Bongsu (Dato' Bahaman)

What’s happening in Taman Desa Bongsu (Dato' Bahaman)?

No posts about Taman Desa Bongsu (Dato' Bahaman) yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM155,000

RM141 psf

Median transaction price

Taman Desa Bongsu (Dato' Bahaman) in Temerloh, Pahang recorded 11 subsale transactions between 2021 and 2026, with a median price of RM155K and a median price per square foot (PSF) of RM141.

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 RM155K, with most transactions falling within a stable range of RM150K to RM160K, and a typical market range of RM149K to RM161K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM141, with most transactions between RM136 and RM146. The usual range is RM135.68 to RM146.68, showing that most units are priced quite close to each other. A typical spread (IQR) of RM11.00 and an average deviation (MAD) of RM5 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.