European Union

Resilience Index
European Union Country Analysis

Dimensional breakdown and nearshoring decision framework for EU member states + EEA countries

As of: January 2026 (monthly cadence; RIโ‚…โ‚€ scale)

EU Country-Level RI Scores

The Resilience Index provides country-level granularity for EU member states, Norway, Switzerland, and Iceland. This allows for comparative analysis and nearshoring decision support across European markets.

Scores reflect current institutional resilience, policy stability, economic shock absorption capacity, social cohesion, and information environment quality. All scores use the same five-dimensional framework and geometric mean aggregation as the global RI methodology.

Status Classification Guide

โ†‘ Improving: Positive trajectory across dimensions
โ†’ Stable: No material deterioration signals
๐Ÿ“Š Monitoring: Elevated stress signals; not activated
โ†“ Deteriorating: Negative trajectory across dimensions

Western Europe

Western European countries โ€” RIโ‚…โ‚€ scores and trajectory (January 2026)
Country Composite Score (RIโ‚…โ‚€) Trajectory Status
๐Ÿ‡จ๐Ÿ‡ญ Switzerland 43.8 / 50 โ†’ Stable
๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg 42.6 / 50 โ†’ Stable
๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 41.1 / 50 โ†’ Stable
๐Ÿ‡ฉ๐Ÿ‡ช Germany 38.2 / 50 โ†“ Monitoring
๐Ÿ‡ฆ๐Ÿ‡น Austria 39.4 / 50 โ†’ Stable
๐Ÿ‡ง๐Ÿ‡ช Belgium 38.9 / 50 โ†’ Stable
๐Ÿ‡ซ๐Ÿ‡ท France 36.8 / 50 โ†“ Monitoring
๐Ÿ‡ฎ๐Ÿ‡ช Ireland 40.7 / 50 โ†’ Stable

Nordic Countries

Nordic countries โ€” RIโ‚…โ‚€ scores and trajectory (January 2026)
Country Composite Score (RIโ‚…โ‚€) Trajectory Status
๐Ÿ‡ณ๐Ÿ‡ด Norway 43.2 / 50 โ†’ Stable
๐Ÿ‡ธ๐Ÿ‡ช Sweden 41.8 / 50 โ†’ Stable
๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark 42.4 / 50 โ†’ Stable
๐Ÿ‡ซ๐Ÿ‡ฎ Finland 41.6 / 50 โ†’ Stable
๐Ÿ‡ฎ๐Ÿ‡ธ Iceland 40.9 / 50 โ†’ Stable

Southern Europe

Southern European countries โ€” RIโ‚…โ‚€ scores and trajectory (January 2026)
Country Composite Score (RIโ‚…โ‚€) Trajectory Status
๐Ÿ‡ช๐Ÿ‡ธ Spain 37.5 / 50 โ†’ Stable
๐Ÿ‡ต๐Ÿ‡น Portugal 38.1 / 50 โ†‘ Improving
๐Ÿ‡ฎ๐Ÿ‡น Italy 35.4 / 50 โ†“ Monitoring
๐Ÿ‡ฌ๐Ÿ‡ท Greece 34.8 / 50 โ†’ Monitoring
๐Ÿ‡จ๐Ÿ‡พ Cyprus 36.2 / 50 โ†’ Stable
๐Ÿ‡ฒ๐Ÿ‡น Malta 37.8 / 50 โ†’ Stable

Central & Eastern Europe (CEE) โ€” Nearshoring Focus

CEE represents the most dynamic opportunity for nearshoring and manufacturing repositioning. These markets combine EU integration, improving infrastructure, competitive labor costs, and institutional stability.

Central & Eastern European countries โ€” RIโ‚…โ‚€ scores and trajectory (January 2026)
Country Composite Score (RIโ‚…โ‚€) Trajectory Status
๐Ÿ‡ต๐Ÿ‡ฑ Poland 40.3 / 50 โ†’ Stable
๐Ÿ‡จ๐Ÿ‡ฟ Czech Republic 39.8 / 50 โ†’ Stable
๐Ÿ‡ธ๐Ÿ‡ฐ Slovakia 37.9 / 50 โ†’ Stable
๐Ÿ‡ธ๐Ÿ‡ฎ Slovenia 39.1 / 50 โ†’ Stable
๐Ÿ‡ญ๐Ÿ‡บ Hungary 33.1 / 50 โ†“ Monitoring
๐Ÿ‡ท๐Ÿ‡ด Romania 37.2 / 50 โ†’ Stable
๐Ÿ‡ง๐Ÿ‡ฌ Bulgaria 35.7 / 50 โ†’ Stable
๐Ÿ‡ญ๐Ÿ‡ท Croatia 36.4 / 50 โ†‘ Improving

Baltic States

Baltic States โ€” RIโ‚…โ‚€ scores and trajectory (January 2026)
Country Composite Score (RIโ‚…โ‚€) Trajectory Status
๐Ÿ‡ช๐Ÿ‡ช Estonia 40.8 / 50 โ†’ Stable
๐Ÿ‡ฑ๐Ÿ‡ป Latvia 38.6 / 50 โ†’ Stable
๐Ÿ‡ฑ๐Ÿ‡น Lithuania 39.3 / 50 โ†’ Stable

CEE Nearshoring Decision Framework

For companies evaluating nearshoring options in Central & Eastern Europe, RI provides a systematic comparison of institutional risk, policy stability, and operational continuity across target markets.

CEE nearshoring candidates โ€” comparative analysis (January 2026)
Country Key Strengths Key Risks
๐Ÿ‡ต๐Ÿ‡ฑ Poland (40.3) Strong institutions, large domestic market, advanced manufacturing infrastructure, EU structural fund absorption capacity, skilled workforce Rising labor costs, judicial independence concerns (watch dimension), regional political volatility
๐Ÿ‡จ๐Ÿ‡ฟ Czech Republic (39.8) Manufacturing excellence, logistics hub (Central Europe), stable institutions, advanced automotive/engineering clusters Labor shortages in skilled trades, landlocked geography, currency volatility (koruna), dependency on German economy
๐Ÿ‡ท๐Ÿ‡ด Romania (37.2) Lower labor costs, improving infrastructure, strong tech sector, Black Sea access, EU funds pipeline, competitive energy costs Weaker institutions, corruption perception, infrastructure gaps (rural), bureaucratic friction, skilled labor retention
๐Ÿ‡ญ๐Ÿ‡บ Hungary (33.1) Competitive costs, automotive cluster strength, central location, existing FDI infrastructure, proximity to key markets Institutional deterioration (โ†“), EU relations friction, rule-of-law concerns, policy unpredictability, brain drain

ENVENURE Assessment

Poland and Czech Republic offer the best balance of institutional stability, infrastructure quality, and EU integration for manufacturing nearshoring. Both markets provide operational predictability and access to skilled labor, despite higher wage levels than Romania or Hungary.

Romania remains viable for cost-sensitive operations but requires more robust contract enforcement mechanisms and longer operational ramp-up periods.

Hungary’s lower RI score implies a higher institutional risk premium and tighter contracting discipline versus Poland. While Hungary maintains competitive advantages in specific sectors (automotive, logistics), the institutional risk differential requires additional legal protections and contingency planning.

For high-value manufacturing or technology operations: Poland or Czech Republic strongly recommended. For labor-intensive or lower-margin operations: Romania viable with appropriate risk mitigation.

Note: Nearshoring decisions should integrate RI scores with operational factors (labor costs, logistics, energy costs, market access, regulatory environment) and client-specific risk tolerance. Envenure provides detailed nearshoring analysis including scenario modeling, contract structuring, and phased implementation plans.

About These Scores

All EU country scores use the same five-dimensional Resilience Index methodology applied globally. Each country is scored on Institutional Resilience, Policy Volatility, Economic Shock Absorption, Social Cohesion, and Information Environment.

Scores use geometric mean aggregation, meaning high performance in one dimension cannot fully compensate for weakness in others. This captures “weakest link” vulnerabilities that are critical for long-term operational planning.

โ†’ View complete mathematical methodology

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