Taman Seraya Indah Fasa 1

Kedah, Kulim, Bandar Kulim

Property Transactions

8 subsales grouped by size

Median
RM 317,500
PSF
RM 108
Price Size
Period
transactions middle 50% (P25–P75)
2,450 sqft
Semi-D
RM 370,000
Taman Seraya Indah
2,454 sqft · RM 151 PSF
RM 380,000
Taman Seraya Indah Fasa 1
2,454 sqft · RM 155 PSF
RM 185,000
Jalan Seraya 4
2,454 sqft · RM 75 PSF
2,500 sqft
Semi-D
RM 265,000
Jalan Seraya 9
2,508 sqft · RM 106 PSF
2,600 sqft
Semi-D
RM 400,000
Jalan Seraya 9
2,616 sqft · RM 153 PSF
4,500 sqft
Bungalow
RM 250,000
Jalan Seraya 3
4,499 sqft · RM 56 PSF
RM 225,000
Taman Seraya Indah Fasa 1
4,499 sqft · RM 50 PSF
RM 500,000
Jalan Seraya 5
4,499 sqft · RM 111 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 317,500

RM 108 psf

Median transaction price

Taman Seraya Indah Fasa 1 in Kulim, Kedah recorded 8 subsale transactions in 2023, with a median price of RM 318K and a median price per square foot (PSF) of RM 108.

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 318K, with most transactions falling within a stable range of RM 217K to RM 418K, and a typical market range of RM 199K to RM 436K.

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

Price per square foot shows a median of RM 108, though individual units vary from RM 68 to RM 149 in the core range. The broader market spans RM 77.65 to RM 139.15, indicating diverse property characteristics. A wider spread (IQR: RM 61.50) and deviation (MAD: RM 41) 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.