Taman Seri Berjaya

Ulu Kinta, Kinta, Perak, Malaysia

Property Transactions

9 subsales grouped by size · LC House →

Median
RM 210,000
PSF
RM 154
Price Size
RM 200,000
Dataran Rapat Baru 15
1,302 sqft · RM 154 PSF
RM 220,000
Dataran Rapat Baru 13
1,302 sqft · RM 169 PSF
RM 210,000
Dataran Rapat Baru 15
1,302 sqft · RM 161 PSF
RM 210,000
Dataran Rapat Baru 13
1,302 sqft · RM 161 PSF
RM 150,000
Dataran Rapat Baru 14
1,302 sqft · RM 115 PSF
RM 180,000
Dataran Rapat Baru 15
1,302 sqft · RM 138 PSF
RM 250,000
Dataran Rapat Baru 14
1,302 sqft · RM 192 PSF
RM 200,000
Dataran Rapat Baru 11
1,302 sqft · RM 154 PSF
1,950 sqft
LC House
RM 235,000
Dataran Rapat Baru 13
1,948 sqft · RM 121 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Seri Berjaya

Market Snapshot

Residential

RM 210,000

RM 154 psf

Median transaction price

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TAMAN SERI BERJAYA, Ulu Kinta, Kinta, Perak, Malaysia

Taman Seri Berjaya in Kinta, Perak recorded 9 subsale transactions between 2021 and 2026, with a median price of RM 210K and a median price per square foot (PSF) of RM 154.

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 210K, with most transactions falling within a stable range of RM 182K to RM 238K, and a typical market range of RM 188K to RM 233K.

Most transactions involved low-cost house, with minimal variety in property types.

The median PSF stands at RM 154, with core pricing between RM 131 and RM 176. Market pricing typically extends from RM 138.81 to RM 168.31, reflecting moderate variation in unit pricing. With an IQR of RM 29.50 and MAD of RM 23, the PSF demonstrates reasonable consistency across the market.

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.