🇸🇿 Eswatini vs 🇺🇸 United States

Live side-by-side comparison of government debt. The United States currently owes about 13100.8× as much as Eswatini — a gap of $40.66 trillion. Updated every second from each country's baseline figure; sources below.

Net debt and interest: IMF World Economic Outlook, October 2026, general government, 2025, mostly IMF estimates. A dash means no comparable figure. How these are calculated.

Among the 194 governments tracked here, Eswatini ranks 118th by debt-to-GDP and the United States 13th. Measured per person, Eswatini is 120th and the United States 2nd.

Analysis

By total government debt, Eswatini ranks 157th and the United States 1st among the 194 sovereigns tracked on this site.

On a per-citizen basis the picture can look different from the nominal totals: a resident's notional share of the government debt in the United States is roughly 48.4× that in Eswatini ($118,608 vs $2,448 per person).

The debt-to-GDP picture is asymmetric here: the United States sits at 124% of GDP, well above Eswatini's 46%, meaning the United States owes far more relative to the size of its own economy — even where the nominal, dollar-for-dollar comparison above suggests otherwise.

Net of financial assets: the IMF puts Eswatini at 40% of GDP and the United States at 97%, against 46% and 124% gross. Eswatini spends about 11% of government revenue on net interest ($157 million in 2025), and the United States about 10% ($980.6 billion in 2025). See the full interest ranking.

The gap between them is widening: the United States' debt is growing faster in dollar terms ($80K/sec vs $27/sec for Eswatini), adding roughly $6,888,326,400 to the difference each day.

Scale is part of the story too: the United States' population (343M) is about 270.4× Eswatini's (1M), which is part of why the nominal and per-capita comparisons above can point in different directions — a government's debt load scales loosely with the size of both its economy and its population, not either alone.

This analysis is generated automatically from live data as an educational orientation, not financial advice — see the methodology page for definitions and caveats.

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