Bangladesh is used to struggle with several natural disasters and has become one of the most earthquake vulnerable countries of the world. The nature and the distribution of the earthquake events in different seismic zones of Bangladesh are related to various man-made factors. This study is dealing with the impact of these factors which are leading to the incidence of earthquakes. Geographic information system (GIS) is used to analyze earthquake data graphically. Bivariate analysis is conducted using t-test approach for hypothesis testing purpose. Availability of gas and oil has been turned out as significant in the results on earthquake occurrences. Three Poisson regression models, along with bivariate analysis, are employed in this study to assess the occurrence of earthquakes in relation with having minerals in Bangladesh. The results give evidence that the presence of minerals is vulnerable to earthquake and production of minerals increases the vulnerability. The presence of gas and oil in the related districts significantly increases the expected number of earthquakes. Keeping similarity with this result, the districts where gas and oil production are running also experience significantly more frequency of earthquakes compared to that of other districts. It is also found from the analysis that the more amount of gas the districts have, the higher the expected number of earthquakes is in that districts. However, neither presence of coal nor running of coal production has any significant effect on earthquake occurrence.