Executive Summary

The Swiss Federal Tax Administration has reviewed the validity of the Gini coefficient for measuring wealth inequality in Switzerland. The analysis reveals significant methodological weaknesses: The coefficient can only be estimated imprecisely using aggregated data (2022: range 0.8626–0.8901). Small annual changes in wealth distribution cannot be reliably detected. The authority recommends additionally calculating the wealth share of the wealthiest taxpayers to depict inequalities more accurately.

Persons

  • Swiss Federal Tax Administration (Authority, Switzerland)

Topics

  • Wealth inequality
  • Gini coefficient
  • Statistics on taxed wealth
  • Inequality measurement methodology
  • Swiss tax policy

Clarus Lead

Swiss tax authorities signal that established inequality indicators are insufficient for policy decisions. The discrepancy between the Gini coefficient and actual wealth concentration – such as in the rise of mega-fortunes 2019–2020 – shows: Standard metrics can obscure top wealth dynamics. Evidence-based tax policy requires more granular measurement instruments.

Detailed Summary

The Swiss Federal Tax Administration documents a central statistical problem: The Gini coefficient, the standard measure of income and wealth inequality, can only be estimated with great imprecision from the available aggregated data of wealth taxation. For 2022, the range lies between 0.8626 and 0.8901 – a span that makes meaningful trend analysis impossible.

The central knowledge problem is evident in the example of 2019–2020: While the Gini coefficient signaled a decline in inequality, the wealth share of taxpayers with at least 10 million Swiss francs actually increased. This divergence illustrates that the Gini coefficient systematically underestimates changes at the top of the wealth distribution. The authority therefore proposes additionally calculating concentration ratios (share of top wealth) to more reliably depict the role of large fortunes in inequality development.

Key Findings

  • The Gini coefficient is too imprecise with aggregated tax data for trend analysis
  • Small annual changes in wealth distribution cannot be reliably detected statistically
  • Wealth concentration at the top is systematically underestimated by the Gini coefficient
  • Supplementary measurement of wealth shares of the wealthiest groups is necessary

Critical Questions

  1. Data Quality: Why are aggregated tax data insufficient for more precise Gini estimation? Are there data protection or aggregation limitations?

  2. Methodological Alternatives: Which other inequality measures (e.g., Palma ratio, top 10% share) were evaluated, and why is the combination of multiple indicators not standardly recommended?

  3. Political Consequences: How many tax policy decisions of recent years were based on Gini analyses that are now considered methodologically questionable?

  4. Implementation: Will the calculation of wealth shares of top wealth holders be integrated into official statistics in the future, and on what timeline?

  5. International Comparability: Do other countries use alternative measurement methods, and does this complicate international comparability of Swiss wealth inequality?

Source Directory

Primary Source: Swiss Federal Tax Administration – Suitability of the Gini Coefficient for Capturing Wealth Inequality in Switzerland https://www.news.admin.ch/de/newnsb/UIwwreK8hQ7aY7Vz_3zcH

Verification Status: ✓ March 26, 2026

This text was created with the support of an AI model. Editorial Responsibility: clarus.news | Fact-Check: March 26, 2026