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May 22, 2026Scientific Reports1 citationsOpen Access

Reevaluating the role of geographical regional factors in subjective well-being

YLYeeun LeePLPhyllis LunLTLouis Tay

Key Points

  • This study aims to quantify how geographical regional factors influence subjective well-being across different levels.
  • Analyzed large international datasets (N=1,667,495) from 154 countries (2009–2024) and U.S. datasets (N=3,124,648) from 1223 counties (2008–2017)
  • Measured life satisfaction and affect at multiple geographical levels to assess variance contribution.
  • Utilized statistical analysis to determine the impact of national versus sub-national conditions on well-being.
  • 18.96% of life satisfaction variance attributed to national-level conditions, showing substantial influence.
  • Sub-country regions account for minimal variance in life satisfaction, making their impact less significant.
  • Positive and negative affect contributions to variance are smaller, suggesting life satisfaction is a more reliable indicator for policy.

Abstract

Recognizing that economic indicators are insufficient for assessing societal progress, governments are increasingly turning to subjective well-being to inform policies. However, psychological research on well-being has predominantly focused on person-level factors and interventions, often overlooking broader macro-level contexts, such as where individuals live. This study systematically quantifies the extent to which national and sub-national regional conditions explain variation in subjective well-being, using large international (N = 1,667,495, 154 countries, 2009–2024) and U.S. datasets (N = 3,124,648, 1223 counties, 2008–2017). One-fifth of life satisfaction variance (18.96%) is attributable to national-level conditions, while sub-country regions (e.g., counties or states) account for marginal proportions of variance. By contrast, positive and negative affect show a smaller variance attributable to any geographical level. These findings underscore the role of national conditions in promoting well-being and support the use of life satisfaction, rather than affective measures, as a reliable policy indicator.

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Cite This Study

Lee et al. (2026) studied this question.

synapsesocial.com/papers/6a0ff351d674f7c03778be85https://doi.org/10.1038/s41598-026-51302-7
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