Taman Saga 3 (Mangga)

Taman Saga Indah, Bandar Alor Setar, 05400, Kota Setar, Kedah, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 470,000
PSF
RM 214
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM 350,000
Jalan Alor Mengkudu (Taman Mangga)
1,399 sqft · RM 250 PSF
1,600 sqft
2-Sty Terrace
RM 600,000
Jalan Alor Mengkudu
1,604 sqft · RM 374 PSF
2,100 sqft
Terrace
RM 450,000
Jalan Alor Mengkudu
2,099 sqft · RM 214 PSF
3,450 sqft
Terrace
RM 470,000
Jalan Alor Mengkudu
3,444 sqft · RM 136 PSF
6,300 sqft
Semi-D
RM 600,000
Susuran Mangga 4
6,286 sqft · RM 95 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 470,000

RM 214 psf

Median transaction price

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TAMAN SAGA 3 (MANGGA), Taman Saga Indah, Bandar Alor Setar, 05400, Kota Setar, Kedah, Malaysia

Taman Saga 3 (Mangga) in Kota Setar, Kedah recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 470K and a median price per square foot (PSF) of RM 214.

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 RM 470K, with most transactions falling within a stable range of RM 374K to RM 566K, and a typical market range of RM 403K to RM 538K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM 214, though individual units vary from RM 117 to RM 311 in the core range. The broader market spans RM 152.39 to RM 276.39, indicating diverse property characteristics. A wider spread (IQR: RM 124.00) and deviation (MAD: RM 97) 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.