Pakr Taman Sri Rompin

Pahang, Rompin, Rompin

Property Transactions

7 subsales grouped by size · LC House →

Period
transactions middle 50% (P25–P75)
RM140,000
Lorong Sungai. Puteri 10
2,357 sqft · RM59 PSF
RM90,000
Lorong Sri Puteri 2
2,336 sqft · RM39 PSF
2,400 sqft
LC House
RM140,000
Sri Puteri
2,390 sqft · RM59 PSF
2,800 sqft
LC House
RM26,000
Lorong Sungai Puteri 12
2,777 sqft · RM9 PSF
RM135,000
Lorong Sungai Puteri 12
2,777 sqft · RM49 PSF
3,800 sqft
LC House
RM150,000
Jalan Kampung Nelayan
3,821 sqft · RM39 PSF
4,600 sqft
LC House
RM180,000
Jalan Sungai Puteri 8
4,585 sqft · RM39 PSF
Legend Recent Highest Price Highest PSF

Posts about Pakr Taman Sri Rompin

What’s happening in Pakr Taman Sri Rompin?

No posts about Pakr Taman Sri Rompin yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM137,500

RM39 psf

Median transaction price

Pakr Taman Sri Rompin in Rompin, Pahang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM138K and a median price per square foot (PSF) of RM39.

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 RM138K, with most transactions falling within a stable range of RM110K to RM165K, and a typical market range of RM114K to RM161K.

Most transactions involved low-cost house, with minimal variety in property types.

The median PSF stands at RM39, with core pricing between RM34 and RM44. Market pricing typically extends from RM35.50 to RM43.00, reflecting moderate variation in unit pricing. With an IQR of RM7.50 and MAD of RM5, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.