🇨🇳 China vs 🇸🇲 San Marino

Live side-by-side comparison of government debt. China currently owes about 16028.2× as much as San Marino — a gap of $22.03 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, China ranks 26th by debt-to-GDP and San Marino 79th. Measured per person, China is 44th and San Marino 21st.

Analysis

By total government debt, China ranks 2nd and San Marino 173rd 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 San Marino is roughly 2.5× that in China ($39,912 vs $15,717 per person).

The debt-to-GDP picture is asymmetric here: China sits at 99% of GDP, well above San Marino's 60%, meaning China owes far more relative to the size of its own economy — even where the nominal, dollar-for-dollar comparison above suggests otherwise.

The IMF publishes no net debt figure for either. China spends about 3.8% of government revenue on net interest ($188.9 billion in 2025), and San Marino about 9.7% ($47 million in 2025). San Marino carries the lower debt ratio but the heavier interest bill: rates, currency and assets matter as well as the size of the debt. China's figures are on the IMF's narrow measure, which leaves out local government financing vehicles. See the full interest ranking.

The gap between them is widening: China's debt is growing faster in dollar terms ($99K/sec vs $1/sec for San Marino), adding roughly $8,581,852,800 to the difference each day.

Scale is part of the story too: China's population (1.40B) is about 40700.7× San Marino's (0M), 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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