Singa Mas

Pahang, Kuantan, Kuala Kuantan

Property Transactions

3 subsales grouped by size

Median
RM375,000
PSF
RM262
Period
transactions middle 50% (P25–P75)
1,450 sqft
2-Sty Terrace
RM375,000
Lorong 81
1,432 sqft · RM262 PSF
RM540,000
Jalan .Bkt.setongkol
1,432 sqft · RM377 PSF
RM350,000
Lorong. Bkt. Setongkol 82
1,432 sqft · RM244 PSF
Legend Recent Highest Price Highest PSF

Selling in Singa Mas? Homes here sold for a median of RM375,000.

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

Posts about Singa Mas

What’s happening in Singa Mas?

No posts about Singa Mas yet. Be the first to share what’s happening here.

Singa Mas in Kuantan, Pahang recorded 3 subsale transactions between 2021 and 2026, with a median price of RM375K and a median price per square foot (PSF) of RM262.

Nothing is listed in Singa Mas right now. Browse properties for sale in Kuala Kuantan and properties for rent in Kuala Kuantan nearby, then use the 3 sales recorded here to judge whether an asking price is fair.

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 RM375K, with most transactions falling within a stable range of RM350K to RM400K, and a typical market range of RM350K to RM423K.

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

For price per square foot, the median is RM262, with most transactions between RM255 and RM269. The usual range is RM244.69 to RM279.19, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.50 and an average deviation (MAD) of RM7 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.