The objective of this paper was to propose a scale of socio-environmental vulnerability capable of presenting the municipalities with exploration activities of natural resources in a hierarchical way, considering the level of criticality of this factor. Theoretically developed, the socio-environmental vulnerability was operationalized by observable socioeconomic and environmental indicators from machine learning techniques and the Rasch model. The value presented by each municipality for these

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... spects served as the basis for obtaining the measure of the socio-environmental vulnerability of the local population and elaboration of vulnerability levels. From the scale, the importance of Financial Compensation (FC) was observed to deal with the socio-environmental vulnerability. The results pointed to a scenario marked by municipalities with medium and high vulnerability, with weak or almost non-existent correlations between FC and these factors. The scale offers subsidies that can encourage more equitably FC arrangements, considering the respective levels of vulnerability of the municipalities.