Taman Aneka Jaya 82

Taman Aneka Jaya, Kuala Kuantan, Kuantan, Pahang, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM257,500
PSF
RM159
Price Size
Period
transactions middle 50% (P25–P75)
1,500 sqft
Terrace
RM250,000
Lorong Pandan Makmur 31
1,496 sqft · RM167 PSF
RM225,000
Lorong Pandan Makmur 42
1,496 sqft · RM150 PSF
RM270,000
Lorong Pandan Makmur 42
1,496 sqft · RM180 PSF
RM250,000
Lorong Pandan Makmur 43
1,496 sqft · RM167 PSF
1,850 sqft
Terrace
RM265,000
Lorong Pandan Makmur 41
1,873 sqft · RM141 PSF
3,250 sqft
Terrace
RM300,000
Lorong Pandan Makmur 43
3,251 sqft · RM92 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Aneka Jaya 82? Homes here sold for a median of RM257,500.

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Market Snapshot

Residential

RM257,500

RM159 psf

Median transaction price

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TAMAN ANEKA JAYA 82, Taman Aneka Jaya, Kuala Kuantan, Kuantan, Pahang, Malaysia

Taman Aneka Jaya 82 in Kuantan, Pahang recorded 6 subsale transactions in 2023, with a median price of RM258K and a median price per square foot (PSF) of RM159.

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 RM258K, with most transactions falling within a stable range of RM235K to RM280K, and a typical market range of RM245K to RM270K.

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

The median PSF stands at RM159, with core pricing between RM130 and RM187. Market pricing typically extends from RM148.74 to RM168.74, reflecting moderate variation in unit pricing. The spread of RM20.00 (IQR) and deviation of RM29 (MAD) suggest moderate price variations reflecting different property features.

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.