Taman Lumba Kuda

Kedah, Kota Setar, Bandar Alor Setar

Property Transactions

3 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM410,000
Jalan Tun Syed Sheh Shahabudin 4
2,800 sqft RM146 PSF
RM350,000
Jalan Tun Syed Shahabudin
2,800 sqft RM125 PSF
RM380,000
Jalan Tun Syed Shahabudin 6/2
2,780 sqft RM137 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Lumba Kuda? Homes here sold for a median of RM380,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Taman Lumba Kuda

What’s happening in Taman Lumba Kuda?

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

Market Snapshot

Residential

RM380,000

RM137 psf

Median transaction price

Taman Lumba Kuda
© OpenStreetMap · CARTO

Taman Lumba Kuda, Kota Setar, Kedah

Taman Lumba Kuda in Kota Setar, Kedah recorded 3 subsale transactions between 2021 and 2026, sized between 2,775 and 2,824 sqft, with a median price of RM380K and a median price per square foot (PSF) of RM137.

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 RM380K, with most transactions falling within a stable range of RM356K to RM404K, and a typical market range of RM350K to RM410K.

Most transactions involved house1 - 1 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM137, with most transactions between RM128 and RM145. The usual range is RM111.19 to RM162.19, showing that most units are priced quite close to each other. With an IQR of RM51.00 and MAD of RM9, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.