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Are international happiness rankings reliable?

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  • Christopher P Barrington-Leigh

Abstract

Global comparisons of wellbeing increasingly rely on survey questions that ask respondents to evaluate their lives, most commonly in the form of "life satisfaction" and "Cantril ladder" items. These measures underpin international rankings such as the World Happiness Report and inform policy initiatives worldwide, yet their comparability has not been established with contemporary global data. Using the Gallup World Poll, Global Flourishing Study, and World Values Survey, I show that the two question formats yield divergent distributions, rankings, and response patterns that vary across countries and surveys, defying simple explanations. To explore differences in respondents' cognitive interpretations, I compare regression coefficients from the Global Flourishing Study, analyzing how each question wording relates to life circumstances. While international rankings of wellbeing are unstable, the scientific study of the determinants of life evaluations appears more robust. Together, the findings underscore the need for a renewed research agenda on critical limitations to cross-country comparability of wellbeing.

Suggested Citation

  • Christopher P Barrington-Leigh, 2025. "Are international happiness rankings reliable?," Papers 2509.06867, arXiv.org.
  • Handle: RePEc:arx:papers:2509.06867
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    References listed on IDEAS

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    1. Leonard Goff, 2022. "Identifying causal effects with subjective ordinal outcomes," Papers 2212.14622, arXiv.org, revised Jan 2025.
    2. Frijters, Paul & Clark, Andrew E. & Krekel, Christian & Layard, Richard, 2020. "A happy choice: wellbeing as the goal of government," Behavioural Public Policy, Cambridge University Press, vol. 4(2), pages 126-165, July.
    3. Jessica Mahoney, 2023. "Subjective well-being measurement: Current practice and new frontiers," OECD Papers on Well-being and Inequalities 17, OECD Publishing.
    4. Ekaterina Oparina & Sorawoot Srisuma, 2022. "Analyzing Subjective Well-Being Data with Misclassification," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 730-743, April.
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