🇨🇳 China vs 🇸🇹 São Tomé and Príncipe

Live side-by-side comparison of government debt. China currently owes about 34748.1× as much as São Tomé and Príncipe — 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 São Tomé and Príncipe 84th. Measured per person, China is 44th and São Tomé and Príncipe 118th.

Analysis

By total government debt, China ranks 2nd and São Tomé and Príncipe 180th 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 China is roughly 6.1× that in São Tomé and Príncipe ($15,717 vs $2,588 per person).

The debt-to-GDP picture is asymmetric here: China sits at 99% of GDP, well above São Tomé and Príncipe's 59%, 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 São Tomé and Príncipe about 3.1% ($6 million in 2025). 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 $2/sec for São Tomé and Príncipe), adding roughly $8,581,766,400 to the difference each day.

Scale is part of the story too: China's population (1.40B) is about 5721.5× São Tomé and Príncipe'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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