Taman Bersatu (Assam Kumbang)

Perak, Larut Matang, Asam Kumbang

Property Transactions

8 subsales grouped by size

Median
RM 297,500
PSF
RM 191
Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
LC Flat
RM 35,000
Level 2
815 sqft · RM 43 PSF
RM 42,000
Level 3
815 sqft · RM 52 PSF
1,350 sqft
2-Sty Terrace
RM 320,000
Jalan Taman Bersatu
1,356 sqft · RM 236 PSF
RM 365,000
Jalan Taman Bersatu
1,356 sqft · RM 269 PSF
1,400 sqft
Terrace
RM 275,000
Lorong 5
1,399 sqft · RM 197 PSF
RM 265,000
Lorong 9
1,399 sqft · RM 189 PSF
2,300 sqft
2-Sty Terrace
RM 420,000
Lorong 3
2,303 sqft · RM 182 PSF
RM 443,000
Lorong 2
2,303 sqft · RM 192 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 297,500

RM 191 psf

Median transaction price

Taman Bersatu (Assam Kumbang) in Larut Matang, Perak recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 298K and a median price per square foot (PSF) of RM 191.

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 RM 298K, with most transactions falling within a stable range of RM 151K to RM 443K, and a typical market range of RM 220K to RM 375K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM 191, though individual units vary from RM 115 to RM 267 in the core range. The broader market spans RM 112.73 to RM 268.98, indicating diverse property characteristics. A wider spread (IQR: RM 156.25) and deviation (MAD: RM 76) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.