Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Matahari 16
|
RM180,000
|
RM129
|
1,399 sqft
|
|
|
|
Lorong Matahari 12
|
RM170,000
|
RM121
|
1,399 sqft
|
|
|
|
Lorong 15
|
RM180,000
|
RM129
|
1,399 sqft
|
|
|
Lorong Matahari 15
|
RM200,000
|
RM67
|
2,971 sqft
|
|
Selling in Taman Bunga Matahari? Homes here sold for a median of RM180,000.
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Taman Bunga Matahari
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 Sitiawan
Market Snapshot
ResidentialRM180,000
RM125 psfMedian transaction price
Taman Bunga Matahari, Manjung, Perak
Taman Bunga Matahari in Manjung, Perak recorded 4 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM180K and a median price per square foot (PSF) of RM125.
This area contains both residential and commercial properties. View 6 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM180K, with most transactions falling within a stable range of RM170K to RM191K, and a typical market range of RM170K to RM200K.
Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM125, though individual units vary from RM99 to RM151 in the core range. The broader market spans RM110.69 to RM139.44, indicating diverse property characteristics. The spread of RM28.75 (IQR) and deviation of RM26 (MAD) suggest moderate price variations reflecting different property features.
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.