Taman Alamanda @ Sungai Siput

Perak, Kuala Kangsar, Sungei Siput

Property Transactions

15 subsales found

Period
transactions middle 50% (P25–P75)
RM180,000
Jalan Sungai Siput - K. Kangsar
1,400 sqft RM129 PSF
RM180,000
Jalan Sungai Siput - K. Kangsar
1,400 sqft RM129 PSF
RM180,000
Jalan Sungai Siput - K. Kangsar
1,400 sqft RM129 PSF
RM185,000
Jalan Sungai Siput - K. Kangsar
1,400 sqft RM132 PSF
RM185,000
Jalan Sungai Siput - K. Kangsar
1,400 sqft RM132 PSF
RM225,000
Jalan Sungai Siput - K. Kangsar
2,688 sqft RM84 PSF
RM180,000
Jalan Sungai Siput - K. Kangsar
1,400 sqft RM129 PSF
RM180,000
Jalan Sungai Siput - K. Kangsar
1,400 sqft RM129 PSF
RM180,000
Jalan Sungai Siput - K. Kangsar
1,400 sqft RM129 PSF
RM185,000
Jalan Sungai Siput - K. Kangsar
1,400 sqft RM132 PSF
RM180,000
Jalan Sungai Siput - K. Kangsar
1,400 sqft RM129 PSF
RM225,000
Jalan Sungai Siput - K. Kangsar
2,688 sqft RM84 PSF
RM180,000
Residensi Prima Sungai Siput
1,400 sqft RM129 PSF
RM180,000
Residensi Prima Sungai. Siput
1,400 sqft RM129 PSF
RM180,000
Jalan Sungai Siput - K. Kangsar
883 sqft RM204 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Alamanda @ Sungai Siput

What’s happening in Taman Alamanda @ Sungai Siput?

No posts about Taman Alamanda @ Sungai Siput yet. Be the first to share what’s happening here.

Taman Alamanda @ Sungai Siput in Kuala Kangsar, Perak recorded 15 subsale transactions between 2021 and 2026, with a median price of RM180K and a median price per square foot (PSF) of RM129.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

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.