| LIST.MY · Taman Lahat Indah | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan Lahat Indah 11
|
RM300,000
|
RM102
|
2,928 sqft
|
|
Terrace |
|
Jalan Lahat Indah 11
|
RM250,000
|
RM162
|
1,539 sqft
|
|
Terrace |
Selling in Taman Lahat Indah? Homes here sold for a median of RM275,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Taman Lahat Indah
No posts about Taman Lahat Indah 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
ResidentialRM275,000
RM132 psfMedian transaction price
TAMAN LAHAT INDAH, Lahat, Ulu Kinta, 31500, Kinta, Perak, Malaysia
Taman Lahat Indah in Kinta, Perak recorded 2 subsale transactions in 2025, with a median price of RM275K and a median price per square foot (PSF) of RM132.
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 RM275K, with most transactions falling within a stable range of RM250K to RM300K, and a typical market range of RM250K to RM300K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
Price per square foot shows a median of RM132, though individual units vary from RM102 to RM162 in the core range. The broader market spans RM101.57 to RM163.32, indicating diverse property characteristics. The spread of RM61.75 (IQR) and deviation of RM30 (MAD) suggest moderate price variations reflecting different property features.
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.