| Price | PSF | Size | Date | Type |
|---|
|
RM396,000
|
RM113
|
3,509 sqft
|
|
|
|
RM398,000
|
RM110
|
3,606 sqft
|
|
|
RM25,000
|
RM10
|
2,486 sqft
|
|
|
|
RM25,000
|
RM19
|
1,302 sqft
|
|
|
RM480,000
|
RM65
|
7,352 sqft
|
|
Bungalow |
|
RM430,000
|
RM103
|
4,166 sqft
|
|
Semi-D |
|
RM335,000
|
RM96
|
3,477 sqft
|
|
Selling in Kampung Bukit? Homes here sold for a median of RM397,000.
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Nearby areas in Pengadang Buluh
Pengadang Buloh
Atas Tol
Kampung Bukit
Undang
Pengadang Baru
Taman Permint Permai (Kt 49-95) Kampung Bukit
Kubang Ikan
Taman Alam Mutiara
Mak Kemas
Kuala Ibai
Chendering
Sungai Derhaka
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pengadang Buluh
Kampung Bukit, Kuala Terengganu, Terengganu
Kampung Bukit in Kuala Terengganu, Terengganu recorded 8 subsale transactions between 2021 and 2026, with a median price of RM397K and a median price per square foot (PSF) of RM96.
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 RM397K, with most transactions falling within a stable range of RM325K to RM470K, and a typical market range of RM305K to RM490K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with high diversity across multiple property types.
The median PSF stands at RM96, with core pricing between RM79 and RM114. Market pricing typically extends from RM70.73 to RM121.98, reflecting moderate variation in unit pricing. The spread of RM51.25 (IQR) and deviation of RM18 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.