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Similarity Indices are widely applied in the field of ecology to measure species diversity as well as to map patterns of conservation and monitor threats to biodiversity. Among the known, Jaccard’s and Sorensen’s indices are the most frequently employed similarity Indices. Here, we propose a new and efficient statistical approach in the field of ethnobiology and validate its efficacy by comparing the results with predefined similarity Indices used in previous studies. The core objective was to propose a new index for quantitative ethnobiological analyses and to find out solutions for sorting the plants having similar ethnobiological uses in allied, aligned, national and global regions; as the pre-existing indices like Jaccard’s and Sorensen’s indices provides best estimates in the field of ecology but not in ethnobiological studies. In comparative ethnobiological studies, ethnobiologists use conventional ecological tools for evaluation of similarities and dissimilarities. Our proposed similarity index is based on the quantification of similar uses of common medicinal plants via comparing present study with previously published reports from various areas where, the author (s) have used the Sorensen’s index and/or Jaccard’s index. To assess the significance and validity of this newly developed index, similarities and differences in ethnomedicinal studies on medicinal plants in different regions were evaluated. Data regarding medicinal plants usage here was compared with 20 previously published studies and then analyzed through preexisting indices as well as Rahman’s index to examine the novelty in the study. Our preliminary results revealed noteworthy …