Taman Sri Kota

Kedah, Kota Setar, Bandar Alor Setar

Property Transactions

6 subsales grouped by size

Median
RM 271,500
PSF
RM 141
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
LC House
RM 265,000
Jalan Kuala Kedah.
1,098 sqft · RM 241 PSF
RM 278,000
Jalan Kota Selesa 5
1,098 sqft · RM 253 PSF
1,200 sqft
LC House
RM 50,000
Off Jalan Kuala Kedah
1,195 sqft · RM 42 PSF
1,950 sqft
LC House
RM 310,000
Jalan Kota Selesa 5
1,948 sqft · RM 159 PSF
2,450 sqft
Semi-D
RM 300,000
Off Jalan Kuala Kedah
2,454 sqft · RM 122 PSF
2,500 sqft
Terrace
RM 240,000
Jalan Kuala Kedah
2,497 sqft · RM 96 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 271,500

RM 141 psf

Median transaction price

Taman Sri Kota
© OpenStreetMap · CARTO

Taman Sri Kota, Kota Setar, Kedah

Taman Sri Kota in Kota Setar, Kedah recorded 6 subsale transactions in 2025, with a median price of RM 272K and a median price per square foot (PSF) of RM 141.

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 272K, with most transactions falling within a stable range of RM 183K to RM 310K, and a typical market range of RM 240K to RM 303K.

Most transactions involved low-cost house, with high diversity across multiple property types.

Price per square foot shows a median of RM 141, though individual units vary from RM 65 to RM 216 in the core range. The broader market spans RM 88.81 to RM 192.56, indicating diverse property characteristics. A wider spread (IQR: RM 103.75) and deviation (MAD: RM 76) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.