The maintenance prioritization of road bridges in Bhutan is determined by the ranks of the bridges, which are generated from the aggregate scores of inspection data and inventory data. The inspection data, which includes the condition of bridge elements such as the whole bridge, superstructure deck, superstructure girder, and substructure, is used to evaluate the structural integrity of the bridges. Depending on the type of bridge, each element has specific indicators with corresponding weights that reflect the observed damage levels. These damages are aggregated to derive the inspection score for each bridge. Inventory data includes the bridge type, road type, bridge age, average daily traffic, loading capacity, abutment type, rainfall condition, and alternate route, which collectively contribute to the inventory score. The total bridge score is the sum of the inspection and inventory scores, with the highest-scoring bridges prioritized for maintenance. Currently, even though the same number of points are allocated for inventory indicators across all bridge types, the contribution from the inventory score to the total prioritization score varies depending on the bridge type. Additionally, the weights for inspection data differ among bridge types due to the varying sets of indicators used to assess the condition of concrete and steel bridges. This use of disparate weights for inspection criteria across different bridge types may result in disproportionate point allocation from the two data sources in the prioritization score, potentially causing bridges that genuinely need maintenance to be ranked inaccurately. Therefore, this study aims to analyze the influence of each input data contribution on the maintenance prioritization of bridges by using the backward calculation of the current weighting scheme. The hierarchy of the current prioritization was established to determine the proportionate contributions of each input data to the total prioritization score across each bridge type. An equal weighting scheme was then applied to all bridge types to observe its effect on the prioritization rankings of the bridges. This research provides insights into the significance of the weights assigned to different indicators under inspection and inventory criteria, which can influence the overall ranking of bridges for maintenance prioritization.