Rumah Pangsa Bukit Kechil I

Terengganu, Kuala Terengganu, Cabang Tiga

Property Transactions

10 subsales grouped by size · LC Flat →

Median
RM 72,500
PSF
RM 137

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
RM 25,000
Level 5
517 sqft · RM 48 PSF
RM 75,000
Level 5
517 sqft · RM 145 PSF
RM 25,000
Level 5
517 sqft · RM 48 PSF
RM 25,000
Level 2
517 sqft · RM 48 PSF
RM 25,000
Level 3
517 sqft · RM 48 PSF
RM 70,000
Level 4
549 sqft · RM 128 PSF
RM 110,000
Level 2
549 sqft · RM 200 PSF
RM 83,000
Level 4
549 sqft · RM 151 PSF
RM 120,000
Level 1
549 sqft · RM 219 PSF
RM 130,000
Level 1
549 sqft · RM 237 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 72,500

RM 137 psf

Median transaction price

Rumah Pangsa Bukit Kechil I in Kuala Terengganu, Terengganu recorded 10 subsale transactions between 2021 and 2026, with a median price of RM 73K and a median price per square foot (PSF) of RM 137.

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 73K, with most transactions falling within a stable range of RM 33K to RM 112K, and a typical market range of RM 33K to RM 112K.

Most transactions involved low-cost flat, though some variety exists in the market.

Price per square foot shows a median of RM 137, though individual units vary from RM 65 to RM 208 in the core range. The broader market spans RM 66.71 to RM 206.46, indicating diverse property characteristics. A wider spread (IQR: RM 139.75) and deviation (MAD: RM 72) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.