Gombak Setia

1, Jln Madrasah, Gombak Setia, 53100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
6,700 sqft
Semi-D
RM750,000
Jalan Ibukota Kiri
6,706 sqft · RM112 PSF
7,600 sqft
Bungalow
RM900,000
Lorong Setia
7,623 sqft · RM118 PSF
10,900 sqft
Bungalow
RM770,000
Lorong Bahagia
10,890 sqft · RM71 PSF
Legend Recent Highest Price Highest PSF

New Launches in Selangor

View all

Posts about Gombak Setia

What’s happening in Gombak Setia?

No posts about Gombak Setia yet. Be the first to share what’s happening here.

Nearby areas in Bandar Gombak Setia

Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Gombak Setia

Gombak Setia
© OpenStreetMap · CARTO

1, Jln Madrasah, Gombak Setia, 53100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Gombak Setia in Gombak, Selangor recorded 3 subsale transactions in 2024, with a median price of RM770K and a median price per square foot (PSF) of RM112.

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 RM770K, with most transactions falling within a stable range of RM750K to RM837K, and a typical market range of RM750K to RM835K.

Most transactions involved detached, though some variety exists in the market.

The median PSF stands at RM112, with core pricing between RM91 and RM133. Market pricing typically extends from RM91.34 to RM132.34, reflecting moderate variation in unit pricing. The spread of RM41.00 (IQR) and deviation of RM21 (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.