| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Sri Kinta 7
|
RM300,000
|
RM94
|
3,175 sqft
|
|
|
Lorong Sri Kinta 4
|
RM280,000
|
RM79
|
3,531 sqft
|
|
|
Lorong Sri Kinta 15
|
RM350,000
|
RM92
|
3,821 sqft
|
|
|
Jalan Sri Kinta 11A
|
RM300,000
|
RM77
|
3,907 sqft
|
|
|
Jalan Sri Kinta 7
|
RM290,000
|
RM62
|
4,693 sqft
|
|
Selling in Kampung Sri Kinta? Homes here sold for a median of RM300,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Kampung Sri Kinta
No posts about Kampung Sri Kinta yet. Be the first to share what’s happening here.
Nearby areas in Ulu Kinta
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
ResidentialRM300,000
RM79 psfMedian transaction price
KAMPUNG SRI KINTA, Kg. Sri Kinta, Ulu Kinta, 31650, Kinta, Perak, Malaysia
Kampung Sri Kinta in Kinta, Perak recorded 5 subsale transactions in 2023, with a median price of RM300K and a median price per square foot (PSF) of RM79.
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 RM280K to RM324K, and a typical market range of RM280K to RM344K.
Most transactions involved detached, with minimal variety in property types.
The median PSF stands at RM79, with core pricing between RM68 and RM91. Market pricing typically extends from RM58.31 to RM100.31, reflecting moderate variation in unit pricing. With an IQR of RM42.00 and MAD of RM12, 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.