Kampung Beta Hilir

Kelantan, Kota Bahru, Beta Hilir

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,200 sqft
Semi-D
RM300,000
Jalan Beta Hilir (Pl 1516)
3,197 sqft · RM94 PSF
RM300,000
Jalan Beta Hilir
3,197 sqft · RM94 PSF
RM270,000
Jalan Beta Hilir (Pl 1516)
3,197 sqft · RM84 PSF
3,500 sqft
Semi-D
RM312,000
Jalan Beta Hilir (Pl 1516)
3,488 sqft · RM89 PSF
3,600 sqft
Semi-D
RM300,000
Jalan Beta Hilir (Pl 1516)
3,595 sqft · RM83 PSF
3,800 sqft
Semi-D
RM300,000
Jalan Beta Hilir (Pl 1516)
3,821 sqft · RM79 PSF
Legend Recent Highest Price Highest PSF

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Nearby areas in Beta Hilir

Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Beta Hilir

Market Snapshot

Residential

RM300,000

RM87 psf

Median transaction price

Kampung Beta Hilir in Kota Bahru, Kelantan recorded 6 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM87.

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 RM300K, with most transactions falling within a stable range of RM287K to RM312K, and a typical market range of RM286K to RM312K.

Within the Single Storey Semi-D category, 1 - 1 1/2 storey semi-detached dominated the market, though some variety exists in the market.

For price per square foot, the median is RM87, with most transactions between RM81 and RM93. The usual range is RM25.83 to RM148.08, showing that most units are priced quite close to each other. With an IQR of RM122.25 and MAD of RM6, 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.