Taman Setar (Jalan Pegawai)

Kedah, Kota Setar, Bandar Alor Setar

Property Transactions

7 subsales grouped by size

Median
RM 470,000
PSF
RM 278
Price Size
1,700 sqft
2-Sty Terrace
RM 460,000
Lorong Inai 11
1,690 sqft · RM 272 PSF
RM 500,000
Lorong Inai 9
1,690 sqft · RM 296 PSF
RM 470,000
Lorong Inai 5/1
1,690 sqft · RM 278 PSF
RM 450,000
Lorong Inai 5/1
1,690 sqft · RM 266 PSF
1,800 sqft
2-Sty Terrace
RM 1,000,000
Lorong Inai 5/1
1,776 sqft · RM 563 PSF
RM 550,000
Lorong Inai 9
1,776 sqft · RM 310 PSF
RM 450,000
Jalan Inai 11
1,798 sqft · RM 250 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Setar (Jalan Pegawai)

Market Snapshot

Residential

RM 470,000

RM 278 psf

Median transaction price

Taman Setar (Jalan Pegawai)
© OpenStreetMap · CARTO

Taman Setar (Jalan Pegawai), Kota Setar, Kedah

Taman Setar (Jalan Pegawai) in Kota Setar, Kedah recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 470K and a median price per square foot (PSF) of RM 278.

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 450K to RM 655K, and a typical market range of RM 450K to RM 495K.

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

Price per square foot shows a median of RM 278, though individual units vary from RM 177 to RM 379 in the core range. The broader market spans RM 228.62 to RM 327.62, indicating diverse property characteristics. A wider spread (IQR: RM 99.00) and deviation (MAD: RM 101) 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.