Taman Setia Jaya

42700 Banting, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM230,000
PSF
RM170
Price Size
Period
transactions middle 50% (P25–P75)
1,250 sqft
LC House
RM230,000
Jalan Merpati 3
1,265 sqft · RM182 PSF
1,400 sqft
LC House
RM230,000
Lorong Merpati 4
1,400 sqft · RM164 PSF
RM245,000
Jalan Merpati
1,400 sqft · RM175 PSF
2,050 sqft
LC House
RM120,000
Jalan Merpati
2,040 sqft · RM59 PSF
Legend Recent Highest Price Highest PSF

New Launches in Selangor

View all

Posts about Taman Setia Jaya

What’s happening in Taman Setia Jaya?

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

Market Snapshot

Residential

RM230,000

RM170 psf

Median transaction price

Taman Setia Jaya
© OpenStreetMap · CARTO

Taman Setia Jaya, 42700 Banting, Selangor, Malaysia

Maps

Taman Setia Jaya in Kuala Langat, Selangor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM230K and a median price per square foot (PSF) of RM170.

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 RM230K, with most transactions falling within a stable range of RM180K to RM245K, and a typical market range of RM213K to RM245K.

Most transactions involved low-cost house, with minimal variety in property types.

Price per square foot shows a median of RM170, though individual units vary from RM120 to RM220 in the core range. The broader market spans RM157.90 to RM181.40, indicating diverse property characteristics. A wider spread (IQR: RM23.50) and deviation (MAD: RM50) indicate significant PSF variations, likely due to diverse property types or conditions.

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.