Abstract. The purpose of this study was to use data from the World Happiness Report to conduct an in-depth analysis of the factors that influence the World Happiness Index (WHI) and to look for other factors that may influence happiness. In this paper, the correlation graph shows that among the original six variables, Social Support has the strongest correlation with the ladder score, which means that Social Support has the greatest impact on the happiness index, followed by GDP per capita; Generosity, on the other hand, was the weakest associated with ladder scores and had the least effect on happiness. Then the linear regression and scatter plot are used to prove this conclusion. Therefore, this paper can consider whether to delete Generosity as an influential factor. A map was then used to show happiness levels and geographical distribution in different countries. At the same time, the distribution of the Gini coefficient is also shown by a regional distribution map. From the perspective of the Gini coefficient and education level, these two factors also have a certain positive correlation with the happiness index, which are likely to be the potential influencing factors of the happiness index. From a global map perspective, the happiest countries are mostly located in Europe, North America and Oceania, while the happiest countries are mostly located in Africa. The study's sample size was not large enough, it was prone to make errors and raise questions about happiness scores in some countries.