Although the NEWgenerator does not achieve the affordability target in any of the 77 countries evaluated, the theoretical cost of the NEWgenerator ranges from 0.03 to 0.36 USD•capita -1 •day -1 and 0.04 to 0.35 USD•capita -1 •day -1 for the grid electricity and photovoltaic electricity scenarios, respectively. These results could motivate the search for subnational conditions that would enable NEWgenerator deployment at costs below the affordability threshold. The NEWgenerator CI scores range from 46 to 108 kg CO2 eq•capita -1 •year -1 using grid electricity and 46 to 71 kg CO2 eq•capita -1 •year -1 using photovoltaic electricity. Relative to the NEWgenerator (which relies on anaerobic biological degradation), the Reclaimer shifts the burden of solids and organics removal to separations via septic tanks, ultrafiltration, and granular activated carbon. In particular, the ultrafiltration unit is a significant contributor to capital and O&M . The cost of the Reclaimer ranges from 0.14 to 0.30 USD•capita -1 •day -1 for the grid electricity scenario and 0.15 to 0.29 USD•capita -1 •day -1 for the photovoltaic electricity scenario. In most contexts, the NEWgenerator outperforms the Reclaimer with respect to cost; however, in 11 of the 77 countries, the Reclaimer is the lowest cost CRT. The Reclaimer GHG emissions range from 109 to 269 kg CO2 eq•capita - 1 •year -1 and 108 to 194 kg CO2 eq•capita -1 •year -1 for the grid electricity and photovoltaic electricity scenarios, respectively. For both CRTs, the spread of GHG emissions decreases for photovoltaic electricity scenarios compared to grid electricity scenarios because the only country-specific emissions calculated were direct emissions (varied with dietary intake), whereas the grid electricity scenarios incorporate country-specific electricity carbon intensities. Additionally, the best-case emissions scenario results in almost equal emissions from a system powered by grid electricity (relying entirely on nuclear energy) compared to photovoltaic electricity. These results indicate that context can greatly impact the overall performance of NSS systems, and contextspecific cost and CI analyses should incorporate location-specific parameters when available.