Taman Bandar Baru Tasek

Perak, Kinta, Ulu Kinta

Property Transactions

7 subsales grouped by size · 2-Sty Terrace →

Median
RM 220,000
PSF
RM 219
Price Size
950 sqft
2-Sty Terrace
RM 220,000
Laluan Bercham Selatan 11
958 sqft · RM 230 PSF
RM 220,000
Laluan Bercham Selatan 19
958 sqft · RM 230 PSF
RM 165,000
Laluan Bercham Selatan 19
958 sqft · RM 172 PSF
RM 200,000
Laluan Bercham Selatan 11
958 sqft · RM 209 PSF
RM 210,000
Laluan Bercham Selatan 11
958 sqft · RM 219 PSF
2,650 sqft
2-Sty Shop
RM 800,000
Jalan Bercham
2,659 sqft · RM 301 PSF
2,850 sqft
2-Sty Shop
RM 580,000
Jalan Bercham Bistari 5
2,842 sqft · RM 204 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 210,000

RM 219 psf

Median transaction price

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Taman Bandar Baru Tasek, Kinta, Perak

Taman Bandar Baru Tasek in Kinta, Perak recorded 7 subsale transactions in 2022, with a median price of RM 220K and a median price per square foot (PSF) of RM 219.

This area contains both residential and commercial properties. View 18 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 RM 220K, with most transactions falling within a stable range of RM 165K to RM 448K, and a typical market range of RM 200K to RM 240K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM 219, with core pricing between RM 183 and RM 256. Market pricing typically extends from RM 195.71 to RM 242.71, reflecting moderate variation in unit pricing. The spread of RM 47.00 (IQR) and deviation of RM 36 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.