Music plays a huge part in shaping peoples' psychology and behavioral patterns. This paper investigates the connection between national anthems and different global indices with computational music analysis and statistical correlation analysis. We analyze national anthem musical data to determine whether certain musical characteristics are associated with peace, happiness, suicide rate, crime rate, etc. To achieve this, we collect national anthems from 169 countries and use computational music analysis techniques to extract pitch, tempo, beat, and other pertinent audio features. We then compare these musical characteristics with data on different global indices to ascertain whether a significant correlation exists. Our findings indicate that there may be a correlation between the musical characteristics of national anthems and the indices we investigated. The implications of our findings for music psychology and policymakers interested in promoting social well-being are discussed. This paper emphasizes the potential of musical data analysis in social research and offers a novel perspective on the relationship between music and social indices. The source code and data are made open-access for reproducibility and future research endeavors. It can be accessed at http://bit.ly/na_code.

翻译：音乐在塑造人类心理和行为模式中扮演着重要角色。本文通过计算音乐分析和统计相关性分析，探究国歌与不同全球指数之间的关联。我们分析国歌音乐数据，以确定某些音乐特征是否与和平、幸福感、自杀率、犯罪率等社会指标存在联系。为此，我们收集了169个国家的国歌数据，采用计算音乐分析技术提取音高、节奏、节拍及其他相关音频特征。随后将这些音乐特征与不同全球指数数据进行比较，以验证是否存在显著相关性。研究结果表明，国歌的音乐特征与所调查的指数之间可能存在关联。本文讨论了这些发现对音乐心理学以及关注促进社会福祉的政策制定者的启示。本研究强调了音乐数据分析在社会研究中的潜力，并为音乐与社会指标之间的关系提供了新颖视角。源代码及数据已开放获取（http://bit.ly/na_code），以供复现和未来研究使用。