Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Laluan Falim 7
|
RM220,000
|
RM157
|
1,399 sqft
|
|
|
|
Laluan Falim 9
|
RM250,000
|
RM179
|
1,399 sqft
|
|
|
|
Laluan Falim 7
|
RM215,000
|
RM154
|
1,399 sqft
|
|
|
|
Laluan Falim 9
|
RM243,000
|
RM174
|
1,399 sqft
|
|
|
|
Laluan Falim 8
|
RM235,000
|
RM168
|
1,399 sqft
|
|
|
|
Laluan Falim 8
|
RM220,000
|
RM157
|
1,399 sqft
|
|
|
|
Laluan Falim 10
|
RM230,000
|
RM164
|
1,399 sqft
|
|
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Taman Falim Indah
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
ResidentialRM230,000
RM164 psfMedian transaction price
Taman Falim Indah in Kinta, Perak recorded 7 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM230K and a median price per square foot (PSF) of RM164.
This area contains both residential and commercial properties. View 14 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM230K, with most transactions falling within a stable range of RM218K to RM242K, and a typical market range of RM215K to RM250K.
Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM164, with most transactions between RM156 and RM173. The usual range is RM138.12 to RM190.62, showing that most units are priced quite close to each other. With an IQR of RM52.50 and MAD of RM9, the PSF demonstrates reasonable consistency across the market.
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.