Taman Sri Kelubi(Pecahan Lot 275 &276)

Kedah, Kubang Pasu, Bandar Jitra

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,600 sqft
Terrace
RM100,000
Jalan Jitra - Kelubi
1,604 sqft · RM62 PSF
3,350 sqft
Semi-D
RM360,000
Jalan Seri Kelubi 5
3,369 sqft · RM107 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sri Kelubi(Pecahan Lot 275 &276)? Homes here sold for a median of RM230,000.

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

List your property free

Posts about Taman Sri Kelubi(Pecahan Lot 275 &276)

What’s happening in Taman Sri Kelubi(Pecahan Lot 275 &276)?

No posts about Taman Sri Kelubi(Pecahan Lot 275 &276) yet. Be the first to share what’s happening here.

Taman Sri Kelubi(Pecahan Lot 275 &276) in Kubang Pasu, Kedah recorded 2 subsale transactions in 2023, with a median price of RM230K and a median price per square foot (PSF) of RM85.

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 RM100K to RM360K, and a typical market range of RM165K to RM295K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM85, though individual units vary from RM62 to RM107 in the core range. The broader market spans RM55.85 to RM113.35, indicating diverse property characteristics. A wider spread (IQR: RM57.50) and deviation (MAD: RM22) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.