Although many of the developed NSS systems can meet ISO (International Organization for Standardization) treatment requirements and are undergoing bench-and pilot-scale testing, critical questions remain about the financial viability and environmental implications of technology scale-up and deployment across contexts. Existing studies have characterized costs and environmental impacts of individual NSS technologies or compare individual technologies against conventional alternatives (e.g., pour flush toilet with centralized wastewater treatment, urinediverting dry toilet with composting and urine storage) , generally without comparing NSS alternatives against each other or across deployment contexts. Anastasopoulou et al. used life cycle assessment with end-point indicators (damage to human health, resources, and ecosystems) and quantitative microbial risk assessment to compare the Nano Membrane Toilet (HRT) against a conventional pour flush toilets (with centralized wastewater treatment) and a urine-diverting dry toilet (with composting and urine storage) and found the Nano Membrane Toilet to be the second-best alternative in terms of environmental impact . Assessing economic performance, Trotochaud et al. conducted a techno-economic analysis to evaluate the current state of a CRT liquid treatment system and to identify priority areas for improvement . Integrating economic and environmental evaluations in a quantitative sustainable design framework , Rowles et al. and Watabe et al. integrated design, simulation, life cycle assessment, and technoeconomic analysis to evaluate the Biogenic Refinery (OP) and NEWgenerator TM (CRT) , respectively, and identify key drivers of system sustainability (e.g., cost and carbon intensity of local grid electricity, household size, local operator wages). With a portfolio of NSS alternatives effectively meeting treatment standards and becoming increasingly affordable, it is critical that we understand how deployment context may influence the relative financial viability and environmental implications of NSS technologies. For individual NSS technologies, Rowles et al. The objectives of this work were (1) to assess how implementation context influences the relative economic and environmental sustainability of NSS systems; and (2) to determine sustainability performance typologies, their prevalence in countries across the globe, and their implications for sanitation system decision-making. To this end, the deployment of three NSS technologies -one Omni Processor (Biogenic Refinery) and two community reinvented toilets (NEWgenerator and Reclaimer) -was simulated across 77 countries. Using a quantitative sustainable design (QSD) approach , we developed and integrated open-source models for the design, simulation, techno-economic analysis (TEA), and life cycle assessment (LCA) of NSS technologies subject to locality-specific contextual parameters. Contextual parameters included construction and maintenance labor wages, energy (electricity and liquified petroleum gas) cost and carbon intensity, price level ratio, household size, dietary intake (including calories, animal and vegetal protein), and food waste ratio (Tables ). Baseline and alternative designs were assessed for each NSS system, including two different frontend facilities for the Biogenic Refinery (pit latrine vs. urine-diverting dry toilets) and two different electricity sources for the community reinvented toilets (grid vs. photovoltaic electricity). All designs and scenarios were coded in QSDsan (an open-source QSD tool) to characterize the daily per capita costs (USD•capita - 1 •day -1 ) and annual per capita GHG emissions (reported as carbon intensity, CI; kg CO2 eq•capita - 1 •year -1 ) under uncertainty. The impact of contextual parameter uncertainties on calculated costs and GHG emissions were evaluated via Spearman's rank order correlation coefficients. Finally, principal component analysis was used to characterize sustainability performance typologies and contextual parameter trends among typologies across countries. Overall, the results presented in this study provide insight into the salient features governing location-specific financial viability and CI, supporting the prioritization of research, development, and deployment for NSS technologies in diverse settings across the globe.