🇮🇳 India vs 🇲🇻 Maldives

Live side-by-side comparison of government debt. India currently owes about 318.6× as much as the Maldives — a gap of $3.35 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, India ranks 39th by debt-to-GDP and the Maldives 10th. Measured per person, India is 122nd and the Maldives 38th.

Analysis

By total government debt, India ranks 8th and the Maldives 134th 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 Maldives is roughly 8.7× that in India ($19,918 vs $2,277 per person).

The debt-to-GDP picture is asymmetric here: the Maldives sits at 129% of GDP, well above India's 84%, meaning the Maldives 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. India spends about 25% of government revenue on net interest ($200.5 billion in 2025), and the Maldives about 12% ($313 million in 2025). India carries the lower debt ratio but the heavier interest bill: rates, currency and assets matter as well as the size of the debt. See the full interest ranking.

The gap between them is widening: India's debt is growing faster in dollar terms ($3K/sec vs $19/sec for the Maldives), adding roughly $215,913,600 to the difference each day.

Scale is part of the story too: India's population (1.48B) is about 2787.8× the Maldives' (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.

India and the Maldives are both grouped under this site's “Asia-Pacific” region, so this is, in effect, an intra-regional comparison as well.

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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