Taman Nusa Puteri

26800 Kuala Rompin, Pahang, Malaysia

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,650 sqft
LC House
RM160,000
Taman Nusa Putri
1,647 sqft · RM97 PSF
RM71,000
Lorong Nusa Putri 14
1,647 sqft · RM43 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Nusa Puteri? Homes here sold for a median of RM115,500.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Taman Nusa Puteri

What’s happening in Taman Nusa Puteri?

No posts about Taman Nusa Puteri yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM115,500

RM70 psf

Median transaction price

Taman Nusa Puteri
© OpenStreetMap · CARTO

26800 Kuala Rompin, Pahang, Malaysia

Maps

Taman Nusa Puteri in Rompin, Pahang recorded 2 subsale transactions between 2021 and 2026, sized between 1,625 and 1,674 sqft, with a median price of RM116K and a median price per square foot (PSF) of RM70.

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 RM116K, with most transactions falling within a stable range of RM71K to RM160K, and a typical market range of RM114K to RM117K.

Most transactions involved low-cost house, though some variety exists in the market.

Price per square foot shows a median of RM70, though individual units vary from RM43 to RM97 in the core range. The broader market spans RM69.88 to RM70.38, indicating diverse property characteristics. A wider spread (IQR: RM0.50) and deviation (MAD: RM27) 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.