| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Jelapang
|
RM250,000
|
RM209
|
1,195 sqft
|
|
|
Lebuh Jelapang 11
|
RM250,000
|
RM80
|
3,143 sqft
|
|
|
Lorong Jelapang 1
|
RM320,000
|
RM77
|
4,166 sqft
|
|
Selling in Kampung Baru Jelapang? Homes here sold for a median of RM250,000.
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Nearby areas in Ulu Kinta
Bandar Baru Lapangan
Taman Polo Laguna @ Tambun
Taman Desa Lang Indah
Medan Klebang Restu
Kampung Baru Jelapang
Marketplace listings
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 Ulu Kinta
Market Snapshot
ResidentialRM285,000
RM78 psfMedian transaction price
KAMPUNG BARU JELAPANG, Jelapang, Ulu Kinta, 30020, Kinta, Perak, Malaysia
Kampung Baru Jelapang in Kinta, Perak recorded 3 subsale transactions between 2021 and 2026, with a median price of RM250K and a median price per square foot (PSF) of RM80.
This area contains both residential and commercial properties. View 13 residential properties or 4 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM250K, with most transactions falling within a stable range of RM250K to RM283K, and a typical market range of RM250K to RM320K.
Most transactions involved detached, with moderate diversity in property types available.
Price per square foot shows a median of RM80, though individual units vary from RM18 to RM141 in the core range. The broader market spans RM49.04 to RM110.04, indicating diverse property characteristics. A wider spread (IQR: RM61.00) and deviation (MAD: RM62) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.