Taman Berjaya

Kedah, Baling, Bandar Kuala Ketil

Property Transactions

9 subsales grouped by size · Semi-D →

Period
transactions middle 50% (P25–P75)
2,250 sqft
Terrace
RM255,000
Jalan Berjaya 2
2,250 sqft · RM113 PSF
3,050 sqft
Semi-D
RM330,000
Jalan Berjaya 4
3,057 sqft · RM108 PSF
3,450 sqft
Semi-D
RM285,000
Jalan Berjaya
3,444 sqft · RM83 PSF
3,650 sqft
Semi-D
RM290,000
Jalan Berjaya 2
3,638 sqft · RM80 PSF
RM323,000
Jalan Berjaya 2
3,638 sqft · RM89 PSF
RM330,000
Jalan Berjaya 2
3,627 sqft · RM91 PSF
RM340,000
Jalan Berjaya 2
3,638 sqft · RM93 PSF
RM340,000
Jalan Berjaya 2
3,638 sqft · RM93 PSF
7,150 sqft
Semi-D
RM445,000
Jalan Berjaya 4
7,152 sqft · RM62 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM255,000

RM113 psf

Median transaction price

Taman Berjaya
© OpenStreetMap · CARTO

Taman Berjaya, Baling, Kedah

Taman Berjaya in Baling, Kedah recorded 9 subsale transactions between 2021 and 2026, with a median price of RM330K and a median price per square foot (PSF) of RM91.

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 RM330K, with most transactions falling within a stable range of RM320K to RM340K, and a typical market range of RM305K to RM355K.

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

For price per square foot, the median is RM91, with most transactions between RM83 and RM99. The usual range is RM85.97 to RM95.97, showing that most units are priced quite close to each other. A typical spread (IQR) of RM10.00 and an average deviation (MAD) of RM8 indicate a highly stable PSF trend across properties.

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.