P/Lot 821 Taman Sepakat Murni

Pahang, Rompin, Pontian

Property Transactions

8 subsales grouped by size

Median
RM 273,000
PSF
RM 148
Price Size
Period
transactions middle 50% (P25–P75)
1,800 sqft
Terrace
RM 278,000
Jalan Sepakat Murni 2
1,808 sqft · RM 154 PSF
RM 278,000
Jalan Sepakat Murni 2
1,819 sqft · RM 153 PSF
RM 278,000
Jalan Sepakat Murni 2
1,798 sqft · RM 155 PSF
RM 278,000
Jalan Sepakat Murni 2
1,819 sqft · RM 153 PSF
RM 260,000
Jalan Sepakat Murni 2
1,808 sqft · RM 144 PSF
1,900 sqft
Terrace
RM 268,000
Jalan Sepakat Murni 2
1,894 sqft · RM 141 PSF
RM 245,000
Jalan Rompin Pontian
1,916 sqft · RM 128 PSF
1,950 sqft
Terrace
RM 260,000
Jalan Sepakat Murni 2
1,959 sqft · RM 133 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 273,000

RM 148 psf

Median transaction price

P/Lot 821 Taman Sepakat Murni in Rompin, Pahang recorded 8 subsale transactions in 2023, with a median price of RM 273K and a median price per square foot (PSF) of RM 148.

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 273K, with most transactions falling within a stable range of RM 262K to RM 278K, and a typical market range of RM 262K to RM 278K.

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

For price per square foot, the median is RM 148, with most transactions between RM 139 and RM 158. The usual range is RM 141.30 to RM 155.30, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 14.00 and an average deviation (MAD) of RM 10 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.