Taman Dahlia

Kedah, Kulim, Bandar Kulim

Property Transactions

8 subsales grouped by size

Median
RM555,000
PSF
RM170
Period
transactions middle 50% (P25–P75)
2,900 sqft
Semi-D
RM490,000
Jalan Dahlia 2/1
2,885 sqft · RM170 PSF
RM570,000
Lorong Dahlia 2/1
2,885 sqft · RM198 PSF
RM480,000
Lorong. Seroja 9A
2,885 sqft · RM166 PSF
3,000 sqft
Semi-D
RM560,000
Lorong Seroja 9 A
3,003 sqft · RM186 PSF
3,250 sqft
Semi-D
RM550,000
Jalan Dahlia 4
3,240 sqft · RM170 PSF
RM600,000
Taman Dahlia
3,240 sqft · RM185 PSF
3,750 sqft
Semi-D
RM480,000
Lorong Seroja 9 A
3,767 sqft · RM127 PSF
5,150 sqft
Semi-D
RM600,000
Lorong Seroja 9A
5,167 sqft · RM116 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM555,000

RM170 psf

Median transaction price

Taman Dahlia
© OpenStreetMap · CARTO

Taman Dahlia, Kulim, Kedah

Taman Dahlia in Kulim, Kedah recorded 8 subsale transactions between 2021 and 2026, with a median price of RM555K and a median price per square foot (PSF) of RM170.

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 RM555K, with most transactions falling within a stable range of RM510K to RM600K, and a typical market range of RM510K to RM600K.

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

For price per square foot, the median is RM170, with most transactions between RM154 and RM185. The usual range is RM155.36 to RM184.36, showing that most units are priced quite close to each other. A typical spread (IQR) of RM29.00 and an average deviation (MAD) of RM16 indicate a highly stable PSF trend across properties.

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.