This section of the article provides supplementary information supporting the main findings on global antibiotic consumption from 2000 to 2015. It includes detailed methods for estimating Defined Daily Doses (DDDs) for various antibiotics, using the ATC/DDD index and other sources when necessary. The methods also address data gaps by estimating DDD values for molecules with no available data. The total global antibiotic use was predicted using DDDs, with population data from the World Bank DataBank. Future scenarios for antibiotic use from 2015 to 2030 were developed based on three different assumptions: maintaining current consumption rates, increasing at current growth rates, and converging to the 2015 global median. Supplementary figures illustrate changes in national antibiotic consumption rates and total global antibiotic consumption by income group. The correlation between antibiotic consumption rates from the European Centre for Disease Prevention and Control’s ESAC-Net and the IQVIA MIDAS database is also presented, showing a strong linear relationship.This section of the article provides supplementary information supporting the main findings on global antibiotic consumption from 2000 to 2015. It includes detailed methods for estimating Defined Daily Doses (DDDs) for various antibiotics, using the ATC/DDD index and other sources when necessary. The methods also address data gaps by estimating DDD values for molecules with no available data. The total global antibiotic use was predicted using DDDs, with population data from the World Bank DataBank. Future scenarios for antibiotic use from 2015 to 2030 were developed based on three different assumptions: maintaining current consumption rates, increasing at current growth rates, and converging to the 2015 global median. Supplementary figures illustrate changes in national antibiotic consumption rates and total global antibiotic consumption by income group. The correlation between antibiotic consumption rates from the European Centre for Disease Prevention and Control’s ESAC-Net and the IQVIA MIDAS database is also presented, showing a strong linear relationship.