Taman Bunga Matahari

Perak, Manjung, Sitiawan

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM180,000
Lorong Matahari 16
1,399 sqft · RM129 PSF
RM170,000
Lorong Matahari 12
1,399 sqft · RM121 PSF
RM180,000
Lorong 15
1,399 sqft · RM129 PSF
2,950 sqft
Terrace
RM200,000
Lorong Matahari 15
2,971 sqft · RM67 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Bunga Matahari? Homes here sold for a median of RM180,000.

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Market Snapshot

Residential

RM180,000

RM125 psf

Median transaction price

Taman Bunga Matahari
© OpenStreetMap · CARTO

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.