Methodology

All eurozone countries benefit equally from the euro's Global Currency Role score (~20, reflecting 20% reserve share plus major reserve status). But each country's fiscal health still differs. Greece has 170% debt-to-GDP; Germany has 65%. Italy's banking system has different NPL ratios than Finland's. Citizens in each country face different purchasing power erosion based on local inflation and fiscal policy. The shared currency's structural strength is captured as a standalone factor — it doesn't hide country-specific weaknesses.

Our 0-100 scale is intentionally linear and bounded. The practical difference is enormous: a score of 85 means your money loses half its value in under a year, while a score of 20 means mild erosion over decades. The Savings Calculator on each country page shows the real-world impact — that's where the exponential damage becomes visible. Sudan's score reflects extreme inflation (245%), collapsed GDP (-28%), and severe capital controls.

USD is the global benchmark — most international trade, commodities, and debt are denominated in dollars. For the USD itself, we use an inflation-based proxy since measuring USD against USD is circular. For reserve currencies, the Global Currency Role factor independently captures their structural resilience — all 12 factors are scored at full strength with no hidden dampening.

Exchange rates and FX volatility refresh every 12 hours. World Bank indicators (inflation, debt, GDP, governance) refresh every 24 hours, though the underlying data is updated annually or quarterly by the World Bank. Crisis data and capital controls are manually reviewed. Pages regenerate via ISR every 12 hours.

Missing data is penalized via an opacity premium (10% weight). Countries that hide their economic data tend to be the highest risk — North Korea, Turkmenistan, and Eritrea are examples. The less data available, the higher the penalty. A country with zero data gets a baseline score of ~65 (High risk) from opacity alone.

Some countries are excluded from the World Bank due to political/sovereignty reasons (Taiwan, Kosovo). Others have data collection disrupted by conflict (Syria, Yemen). We maintain verified fallback data for 14 such countries from IMF, national statistics offices, and development banks.

Countries sharing a currency (EUR, CFA Franc, USD) still have different fiscal situations that affect citizens differently. A Greek citizen and a German citizen both hold euros, but face different inflation rates, tax burdens, and banking system risks. We rank by country because that's what determines your actual purchasing power experience.

No — it measures structural risk, not predictions. However, our backtest shows that 7 of 8 major crises in the last decade were flagged as high-risk 2+ years before the acute event. Structural weakness doesn't cause crises on a specific date, but it tells you which currencies are most vulnerable when a shock hits.

We track crypto adoption as a separate leading indicator on our Adoption page. It's not part of the risk score because adoption is a response to fiat risk, not a cause. High crypto adoption often correlates with high fiat risk — citizens are already voting with their wallets.

A linear 0-100 scale is clearer for non-experts. The Savings Calculator on each country page shows the exponential real-world damage — enter any amount and see how much purchasing power you lose over time. That's where the non-linear impact becomes tangible.