Methodology
How we score the risk of every fiat currency on earth.
Data sources
World Bank Open Data API
Every 24 hours
Coverage: 200+ countries
Indicators: Macroeconomic indicators, banking health metrics, fiscal data, governance indices
Primary data source covering 8 indicator categories. Uses the most recent available value per country. Some countries (Taiwan, North Korea) are excluded by the World Bank due to political reasons — we supplement with verified fallback data.
Exchange Rate APIs
Every 12 hours
Coverage: 200+ currencies
Indicators: Current exchange rates, 90-day historical rates, computed FX volatility
Multi-API fallback chain: fawazahmed0/exchange-api (primary, 200+ currencies), exchangerate.host (fallback), Frankfurter (fallback). Ensures resilience if any single API goes down.
Currency Structure Dataset
Manually maintained
Coverage: 70+ countries
Indicators: Reserve currency share, exchange rate regime, capital control scores, FX market depth, global currency role
Curated from IMF COFER (reserve shares), IMF AREAER (exchange rate regimes, capital controls), BIS Triennial Survey (FX turnover). Captures structural features that macro indicators alone cannot: reserve status, peg fragility, convertibility, and international embeddedness.
Currency Crisis Dataset
Manually maintained
Coverage: 30 countries
Indicators: Black market premiums, multiple exchange rate flags, crisis severity scores
Curated from Johns Hopkins Troubled Currencies Project, World Bank Parallel Exchange Rate data, IMF AREAER reports, and public reporting. Covers countries with known parallel markets or severe currency distortions.
Static Fallback Data
Manually maintained
Coverage: 14 countries
Indicators: All major economic indicators for countries excluded from World Bank
Research-backed fallback data for countries the World Bank systematically excludes: Taiwan, Kosovo, Palestine, North Korea, Eritrea, Cuba, Yemen, Syria, Sudan, South Sudan, Venezuela, Zimbabwe, Lebanon, Libya. Sources: IMF WEO, national statistics offices, African Development Bank.
Data freshness
Data refreshes automatically via Next.js Incremental Static Regeneration (ISR). No manual intervention is required.
| Data | Refresh |
|---|---|
| World Bank indicators (8 types) | Every 24 hours |
| Exchange rates & FX volatility | Every 12 hours |
| Historical trends (20 years) | Every 24 hours |
| Currency crises & black market | Manually reviewed |
| Static fallbacks (14 countries) | Manually reviewed |
| Pages (homepage, rankings, trends) | Every 12 hours |
A daily health check (via Vercel Cron at 8am UTC) monitors data completeness and sends admin alerts if APIs are down or data degrades.