Social vulnerability indices are a way of gathering information on people who may be impacted by disasters such as river bank erosion. The development and validation of a social vulnerability map of population characteristics towards bank erosion covering Manikchak blocks in Malda district in West Bengal, India, is the goal of this project. This map is based on a composite index of three key indices of social vulnerability in Diara blocks: fragility, socioeconomic conditions, and geographic location. A factor analysis of selected demographic variables derived from the District Statistical Handbook was used to identify these indicators. As a result, depending on a reputable data source, these indicators can be updated annually. An impartial second data set is used to confirm the susceptibility patterns discovered by factor analysis. The second data set's interpretation suggests that a real extreme river bank erosion event reveals vulnerability and that the patterns of the presumed vulnerability match the observations of a real occurrence. It includes a survey of erosion-affected Manikchak families. It is shown that the theoretically assumed signs of susceptibility are right and that the indicators are valid using logistic regression. It has been demonstrated that particular social groups, such as the elderly, the financially disadvantaged, and city dwellers, are at increased risk.