Taman Setapak Indah Townhouse
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level G
|
RM360,000
|
RM372
|
969 sqft
|
|
|
|
Level 1
|
RM500,000
|
RM516
|
969 sqft
|
|
|
Level 1
|
RM780,000
|
RM690
|
1,130 sqft
|
|
|
|
Level 1
|
RM510,000
|
RM443
|
1,152 sqft
|
|
|
|
Level G
|
RM477,000
|
RM422
|
1,130 sqft
|
|
|
|
Level G
|
RM450,000
|
RM398
|
1,130 sqft
|
|
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Taman Setapak Indah Townhouse
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 Mukim Setapak
Market Snapshot
ResidentialRM500,000
RM443 psfMedian transaction price
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
MapsTaman Setapak Indah Townhouse in Kuala Lumpur, Kuala Lumpur recorded 9 subsale transactions between 2021 and 2026, with a median price of RM500K and a median price per square foot (PSF) of RM443.
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 RM500K, with most transactions falling within a stable range of RM477K to RM523K, and a typical market range of RM465K to RM535K.
Most transactions involved town house, with minimal variety in property types.
The median PSF stands at RM443, with core pricing between RM372 and RM514. Market pricing typically extends from RM383.81 to RM501.81, reflecting moderate variation in unit pricing. The spread of RM118.00 (IQR) and deviation of RM71 (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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.