Prima Jl Ktn Segamat

Pahang, Kuantan, Kuala Kuantan

Property Transactions

8 subsales grouped by size · Semi-D →

Median
RM 158,000
PSF
RM 44
Price Size
Period
transactions middle 50% (P25–P75)
2,800 sqft
Semi-D
RM 225,000
Lorong Gambang Jaya 2/4
2,799 sqft · RM 80 PSF
3,350 sqft
Semi-D
RM 157,000
Jalan Ktn Segamat
3,348 sqft · RM 47 PSF
3,400 sqft
Semi-D
RM 142,000
Jalan Ktn Segamat
3,391 sqft · RM 42 PSF
RM 158,000
Jalan Ktn Segamat
3,391 sqft · RM 47 PSF
RM 158,000
Jalan Ktn Segamat
3,391 sqft · RM 47 PSF
3,450 sqft
Semi-D
RM 143,000
Jalan Ktn Segamat
3,455 sqft · RM 41 PSF
5,200 sqft
Semi-D
RM 181,000
Jalan Ktn Segamat
5,188 sqft · RM 35 PSF
8,550 sqft
Bungalow
RM 275,000
Jalan Ktn Segamat
8,557 sqft · RM 32 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 158,000

RM 44 psf

Median transaction price

Prima Jl Ktn Segamat in Kuantan, Pahang recorded 8 subsale transactions in 2022, with a median price of RM 158K and a median price per square foot (PSF) of RM 44.

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 158K, with most transactions falling within a stable range of RM 142K to RM 202K, and a typical market range of RM 158K to RM 159K.

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

Price per square foot shows a median of RM 44, though individual units vary from RM 30 to RM 58 in the core range. The broader market spans RM 41.37 to RM 47.12, indicating diverse property characteristics. A wider spread (IQR: RM 5.75) and deviation (MAD: RM 14) 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. 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.