Scoring Breakdown & Key Factors
How the Health Score is calculated, what each pillar measures, and where the data comes from.
How scoring works
Every country is scored relative to its peer group — G7, G20, Emerging, or Frontier markets — not against a global absolute standard. Within each group, raw indicator values are converted to Z-scores, which show how far above or below the group average a country sits. Those Z-scores are averaged within each of the eight pillars below, and the pillars are combined using the weights shown to produce the final 0–100 Health Score. A score above 65 is GREEN, 40–64 is YELLOW, and below 40 is RED. If a pillar has no data for a country, its weight is redistributed proportionally across the pillars that do have data.
Pillar weights & indicators
| Pillar | Weight | Indicators |
|---|---|---|
| Solvency | 23% |
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| Liquidity | 15% |
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| Growth | 15% |
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| Human Development | 14% |
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| Stability | 11% |
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| Governance | 9% |
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| Environmental | 7% |
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| Demographics | 6% |
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Within each pillar, all indicators carry equal weight. Missing indicators are excluded; weights are renormalised if a full pillar is absent.
Glossary of terms
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Scores & Signals
A 0–100 composite score summarising a country's fiscal and economic condition relative to its peer group. Scores of 65 or above are GREEN, 40–64 are YELLOW, and below 40 are RED. Countries with data in fewer than two pillars receive NO DATA.
A quick-read signal derived from the Health Score. GREEN means the country is performing well within its peer group. YELLOW signals caution — some areas of stress or underperformance. RED signals meaningful fiscal stress relative to peers.
Each country is scored across eight pillars. Pillar scores are displayed on a T-score scale centred at 50: a score of 50 is the peer-group average, 60 is roughly one standard deviation above average, and 40 is one below. If a pillar has no data, its weight is redistributed to the remaining pillars.
The statistical technique used to compare countries within a peer group. Each indicator is standardised so the peer-group average equals 0 and one standard deviation equals 1. This means all scores are relative — a country's GREEN or RED reflects its standing against comparable economies, not an absolute global threshold.
Scoring is always performed within a peer group, never globally. A G7 country is only compared to the other six G7 nations; a Frontier market is only compared to other Frontier markets. This makes scores meaningful — comparing Germany's debt level to Cambodia's would produce no useful insight.
Pillars
Can the government meet its long-term obligations? Derived from debt-to-GDP ratio, fiscal balance (surplus or deficit as % of GDP), interest expense as a share of GDP, and the composite sovereign credit rating from S&P, Moody's, and Fitch. High debt, persistent deficits, or a poor credit rating push this score down.
Does the country hold enough reserves to meet short-term external needs? Derived from foreign currency reserves measured in months of import cover. A higher figure means the country can sustain imports — and absorb external shocks — for longer without needing emergency financing.
Is the economy expanding and are people finding work? Derived from real GDP growth rate (year-on-year) and the unemployment rate. Strong growth and low unemployment push this score up; they signal an economy that is generating revenue, reducing debt burdens over time, and keeping people employed.
Are people healthy, educated, and supported by functional public systems? This pillar combines an education index (secondary enrolment, tertiary enrolment, education spending) with ten health indicators from the WHO: life expectancy, infant mortality, obesity, diabetes, cardiovascular disease mortality, UHC coverage, physician density, vaccination coverage, smoking prevalence, and air pollution (PM2.5). Each of the 11 inputs carries equal weight within the pillar.
Is the economic environment predictable and non-inflationary? Derived from CPI inflation (year-on-year and month-on-month) and 10-year government bond yields. High inflation erodes purchasing power and forces rate rises; high bond yields signal that markets demand a risk premium for holding government debt.
How effective are government institutions? Derived from the World Bank's Government Effectiveness indicator (part of the Worldwide Governance Indicators suite). Strong institutions are associated with better long-term fiscal management, lower corruption, and more effective delivery of public services.
How exposed is the country to climate transition risk, and how efficiently does it use energy? Derived from renewable energy share of consumption (two sources: World Bank WDI and IRENA), CO₂ emissions per capita, CO₂ intensity (emissions per unit of GDP), and the year-on-year change in renewable adoption. Countries heavily reliant on fossil fuels face both regulatory and physical climate risks.
Are structural workforce trends helping or hurting the fiscal outlook? Derived from the old-age dependency ratio (elderly dependents per 100 working-age people) and the working-age population as a share of total population. Ageing populations place growing pressure on pension and healthcare systems, increasing long-run fiscal risk.
Household Analogy
Maps to debt-to-GDP and the absolute deficit in dollar terms. Expressed as "for every $1 earned, the government owes $X" — the same framing you'd use to assess a household's debt-to-income ratio. The dollar deficit shows the annual gap between what the government spends and what it collects in revenue.
Maps to interest expense as a percentage of government revenue. Shows how many cents of every dollar collected in taxes goes straight to servicing debt — before spending on anything else. A household spending 30 cents of every dollar of income on debt interest has very little room to manoeuvre.
Maps to foreign currency reserves. A country with large reserves can absorb shocks — currency crises, sudden capital outflows, commodity price swings — without immediate distress. Shown in months of import cover: a figure of 3 months is often considered the minimum safe level.
Maps to the composite sovereign credit rating (0–21 scale). Higher means safer. Investment-grade ratings (BBB−/Baa3 and above, corresponding to roughly 9 or higher on the 0–21 scale) allow governments to borrow at much lower interest rates. Sub-investment-grade ("junk") ratings dramatically increase borrowing costs.
Maps to GDP growth rate (year-on-year, inflation-adjusted). A growing economy generally produces more tax revenue, makes fixed debt cheaper in relative terms, and creates jobs. Sustained negative growth (recession) typically leads to rising deficits and deteriorating fiscal ratios.
Maps to CPI year-on-year change. A small positive rate (1–3%) is generally healthy; it signals demand and eases the real burden of fixed debt. Persistent high inflation, however, erodes purchasing power, destabilises bond markets, and forces central banks to raise rates — which feeds back into higher government borrowing costs.
Peer Groups
The seven largest advanced economies: United States, United Kingdom, Germany, France, Japan, Canada, and Italy. These countries are scored only against each other — their fiscal positions, debt levels, and institutional quality operate in a fundamentally different context from emerging or frontier markets.
The broader G20 grouping, including major emerging economies such as China, India, Brazil, South Korea, Australia, Indonesia, Mexico, Argentina, Saudi Arabia, South Africa, Turkey, and the EU. Countries in this group share broadly comparable capital market access and economic scale.
Countries with developing but growing capital markets and middle-income economies. Includes much of Latin America, Southeast Asia, Eastern Europe, the Middle East, and North Africa. Scored within this group — their fiscal norms, borrowing conditions, and institutional capacity differ significantly from G20 peers.
Smaller, less liquid economies at an earlier stage of development. Includes much of Sub-Saharan Africa, smaller island nations, and lower-income economies. These countries often have limited access to international capital markets and face different structural constraints than emerging markets.
Data Sources
Primary source for core fiscal indicators: debt-to-GDP, fiscal balance, interest expense, GDP growth, CPI inflation, unemployment, and foreign reserves coverage. Data comes from the IMF World Economic Outlook DataMapper API. Covers 190+ countries, updated annually with rolling forecasts.
Source for GDP in current USD, GDP growth, unemployment, foreign reserves in USD, the WGI Government Effectiveness indicator, and several environmental and demographic indicators. The Data360 API is used (more reliable than the legacy v2 API). Data is typically 1–2 years lagged for most indicators.
Source for CPI inflation, unemployment, and 10-year government bond yields for OECD member countries (~38 nations). More granular and timely than IMF or World Bank for the countries it covers.
Source for 10-year government bond yields for the G7 countries and Australia. FRED tracks individual bond series for each country with high-frequency updates.
The three major credit rating agencies each assign sovereign ratings on their own scales. FinHealth maps each to a common 0–21 numeric scale (AAA/Aaa = 21, D/C = 0) and averages the available agency ratings to produce a single composite score per country. Updated monthly.
Source for country-level renewable energy share of total energy consumption, used in the Environmental pillar alongside the World Bank WDI figure. IRENA data is the basis for the computed renewable adoption rate (year-on-year percentage point change).
Source for secondary net enrolment rate, tertiary gross enrolment rate, and government education expenditure (% of GDP) — the three inputs to the education index. Data is often lagged 2–3 years for lower-income countries; World Bank WDI figures are used as a fallback.
Source for all ten health indicators in the Human Development pillar: life expectancy, infant mortality, obesity and diabetes prevalence, cardiovascular disease mortality, UHC service coverage, physician density, vaccination coverage, smoking prevalence, and PM2.5 concentration. WHO data typically lags 1–3 years; the adapter uses a 5-year lookback window to maximise data availability.