Bukit Payong

Alur Limbat, Bukit Payong, Terengganu, Malaysia

Property Transactions

7 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM315,000
B.bongkok, Off Jalan Bukit Payung/ Binjai
2,443 sqft RM129 PSF
RM400,000
Off Jalan Binjai Bongkok/Rawai(
3,035 sqft RM132 PSF
RM350,000
Off Jalan Bukit Payung/ Binjai Bongko
2,917 sqft RM120 PSF
RM490,000
Off Jalan Ktrg / K Berang(Pl 4751)
4,951 sqft RM99 PSF
RM360,000
Off Jalan Bkt Payung-K Trg
3,369 sqft RM107 PSF
RM390,000
Off Jalan Bkt Payung-K Trg
3,907 sqft RM100 PSF
RM550,000
Off Jalan Kampung Tasek/Kampung Tebakang
5,565 sqft RM99 PSF
Legend Recent Highest Price Highest PSF

Selling in Bukit Payong? Homes here sold for a median of RM390,000.

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Market Snapshot

Residential

RM390,000

RM107 psf

Median transaction price

Bukit Payong
© OpenStreetMap · CARTO

Alur Limbat, Bukit Payong, Terengganu, Malaysia

Maps

Bukit Payong in Marang, Terengganu recorded 7 subsale transactions in 2025, with a median price of RM390K and a median price per square foot (PSF) of RM107.

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 RM390K, with most transactions falling within a stable range of RM315K to RM467K, and a typical market range of RM328K to RM452K.

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

The median PSF stands at RM107, with core pricing between RM93 and RM120. Market pricing typically extends from RM90.35 to RM123.35, reflecting moderate variation in unit pricing. With an IQR of RM33.00 and MAD of RM13, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.