Taman Setapak (Setapak Garden)

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM1,010,000
PSF
RM272
Price Size
Period
transactions middle 50% (P25–P75)
3,100 sqft
Semi-D
RM900,000
Jalan Tioman 4
3,097 sqft · RM291 PSF
4,450 sqft
Semi-D
RM1,120,000
Jalan Umbun 1
4,438 sqft · RM252 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Setapak (Setapak Garden)

What’s happening in Taman Setapak (Setapak Garden)?

No posts about Taman Setapak (Setapak Garden) yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM1,010,000

RM272 psf

Median transaction price

Loading map...

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Maps

Taman Setapak (Setapak Garden) in Kuala Lumpur, Kuala Lumpur recorded 2 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM1.01 million and a median price per square foot (PSF) of RM272.

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 RM1.01 million, with most transactions falling within a stable range of RM900K to RM1.12 million, and a typical market range of RM948K to RM1.07 million.

Within the Single Storey Semi-D category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.

For price per square foot, the median is RM272, with most transactions between RM252 and RM291. The usual range is RM235.00 to RM308.00, showing that most units are priced quite close to each other. With an IQR of RM73.00 and MAD of RM19, 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. 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.