Taman Bunga Raya

Pahang, Bentong, Sabai

Property Transactions

9 subsales grouped by size · LC House →

Period
transactions middle 50% (P25–P75)
RM180,000
Jalan Bunga Raya 2
753 sqft · RM239 PSF
RM180,000
Jalan Bunga Raya
753 sqft · RM239 PSF
RM160,000
Jalan Bunga Raya 3
753 sqft · RM212 PSF
RM150,000
Jalan Bunga Raya
753 sqft · RM199 PSF
RM140,000
Jalan Bunga Raya
753 sqft · RM186 PSF
800 sqft
LC House
RM125,000
Jalan Bunga Raya 5
786 sqft · RM159 PSF
1,300 sqft
Terrace
RM230,000
Jalan Bunga Raya 2
1,302 sqft · RM177 PSF
RM240,000
Jalan Taman Bunga Raya
1,302 sqft · RM184 PSF
1,850 sqft
LC House
RM330,000
Jalan Bunga Raya 1
1,841 sqft · RM179 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM180,000

RM186 psf

Median transaction price

Taman Bunga Raya
© OpenStreetMap · CARTO

Taman Bunga Raya, Bentong, Pahang

Taman Bunga Raya in Bentong, Pahang recorded 9 subsale transactions between 2021 and 2026, with a median price of RM180K and a median price per square foot (PSF) of RM186.

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 RM180K, with most transactions falling within a stable range of RM140K to RM220K, and a typical market range of RM140K to RM220K.

Most transactions involved low-cost house, though some variety exists in the market.

For price per square foot, the median is RM186, with most transactions between RM173 and RM199. The usual range is RM169.31 to RM202.31, showing that most units are priced quite close to each other. A typical spread (IQR) of RM33.00 and an average deviation (MAD) of RM13 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.