| Road | Price | PSF | Size | Date | Type |
|---|
|
Taman. Bunga Raya
|
RM245,000
|
RM53
|
4,607 sqft
|
|
|
|
Prsn Sungai Chemor 4
|
RM270,000
|
RM58
|
4,618 sqft
|
|
Posts about Taman Bunga Raya, Chemor
No posts about Taman Bunga Raya, Chemor yet. Be the first to share what’s happening here.
Nearby areas in Ulu Kinta
Bandar Baru Sri Klebang
Panorama Lapangan Perdana
Prima Meru
Taman Kinding Flora
Taman Cempaka
Bandar Baru Lapangan
Taman Klebang Putra
Bandar Seri Botani
Taman Polo Laguna @ Tambun
Taman Desa Lang Indah
Medan Klebang Restu
Taman Pertama (Silibin)
Taman Bunga Raya, Chemor
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 Ulu Kinta
Market Snapshot
ResidentialRM257,500
RM56 psfMedian transaction price
Taman Bunga Raya, Chemor in Kinta, Perak recorded 2 subsale transactions between 2021 and 2026, sized between 4,575 and 4,624 sqft, with a median price of RM258K and a median price per square foot (PSF) of RM56.
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 RM258K, with most transactions falling within a stable range of RM245K to RM270K, and a typical market range of RM245K to RM270K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM56, with most transactions between RM53 and RM58. The usual range is RM32.83 to RM78.83, showing that most units are priced quite close to each other. A typical spread (IQR) of RM46.00 and an average deviation (MAD) of RM3 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.