P/Lot 821 Taman Sepakat Murni

Pahang, Rompin, Pontian

Property Transactions

10 subsales grouped by size

Median
RM 260,000
PSF
RM 136
Price Size
Period
transactions middle 50% (P25–P75)
1,800 sqft
Terrace
RM 238,000
Jalan Rompin Pontian
1,798 sqft · RM 132 PSF
RM 260,000
Jalan Rompin Pontian
1,808 sqft · RM 144 PSF
1,850 sqft
Terrace
RM 250,000
Jalan Rompin Pontian
1,830 sqft · RM 137 PSF
1,900 sqft
Terrace
RM 244,000
Jalan Rompin Pontian
1,884 sqft · RM 130 PSF
RM 260,000
Jalan Rompin Pontian
1,905 sqft · RM 136 PSF
RM 260,000
Jalan Rompin Pontian
1,916 sqft · RM 136 PSF
RM 260,000
Jalan Rompin Pontian
1,894 sqft · RM 137 PSF
RM 260,000
Jalan Rompin Pontian
1,884 sqft · RM 138 PSF
1,950 sqft
Terrace
RM 260,000
Jalan Rompin Pontian
1,938 sqft · RM 134 PSF
RM 250,000
Jalan Rompin Pontian
1,948 sqft · RM 128 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 260,000

RM 136 psf

Median transaction price

P/Lot 821 Taman Sepakat Murni in Rompin, Pahang recorded 10 subsale transactions in 2022, with a median price of RM 260K and a median price per square foot (PSF) of RM 136.

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 260K, with most transactions falling within a stable range of RM 252K to RM 260K, and a typical market range of RM 249K to RM 260K.

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

For price per square foot, the median is RM 136, with most transactions between RM 132 and RM 140. The usual range is RM 129.08 to RM 143.08, 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 4 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.