Taman Melati

Kedah, Kulim, Padang Serai

Property Transactions

9 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,450 sqft
Terrace
RM275,000
Lorong Melati 2/2
1,432 sqft · RM192 PSF
RM265,000
Lorong Melati 4/2
1,442 sqft · RM184 PSF
RM300,000
Lorong Melati 2/2
1,432 sqft · RM210 PSF
RM168,000
Lorong Melati 3/2
1,432 sqft · RM117 PSF
RM260,000
Lorong Melati 4/2
1,442 sqft · RM180 PSF
RM205,000
Jalan Melati 3/2
1,432 sqft · RM143 PSF
RM250,000
Jalan Melati 4/2
1,464 sqft · RM171 PSF
1,650 sqft
Terrace
RM280,000
Lorong Melati 3/2
1,647 sqft · RM170 PSF
RM280,000
Lorong Melati 2/2
1,647 sqft · RM170 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM265,000

RM171 psf

Median transaction price

Taman Melati
© OpenStreetMap · CARTO

Taman Melati, Kulim, Kedah

Taman Melati in Kulim, Kedah recorded 9 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM265K and a median price per square foot (PSF) of RM171.

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 RM265K, with most transactions falling within a stable range of RM226K to RM300K, and a typical market range of RM251K to RM279K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with minimal variety in property types.

The median PSF stands at RM171, with core pricing between RM145 and RM196. Market pricing typically extends from RM154.16 to RM187.41, reflecting moderate variation in unit pricing. With an IQR of RM33.25 and MAD of RM25, the PSF demonstrates reasonable consistency across the market.

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.