As communities across the world are characterized by their unique economic, environmental, and social situations, location-specific parameters beyond technology specifications may also have substantial impacts on overall sustainability. To explore these potential implications, ten communities from four continents were included in a contextual analysis where TEA and LCA of the four POU technologies were performed with community and/or region-level demographic, water quality, and energy data (Table ). Consistent previous results, POU chlorination and AgNP CWF had much lower costs and GWP than UV lamp and UV LED, regardless of the deployment site (Figure ). However, different trends were observed depending on the specific type of technology. For POU chlorination and AgNP CWF where the capital cost and construction of the equipment were cost and environmental impact drivers, per capita cost and GWP were found to negatively correlated to the size of the household, with Colonias in the United States (household size of 6.48) and Santa Cruz, Bolivia (household size of 5) on the lower end and Gunungkidul, Indonesia, Limpopo, South Africa, Navajo Nation, United States, and Oaxaca, Mexico on the higher end (household size < 4). For the two UV technologies, however, different trends were found for cost vs. GWP, which were also correlated to both the water quality and the electricity profile of the community. For example, for Gunungkidul, Indonesia which had the highest costs and GWP for POU chlorination and AgNP CWF (smallest household), thought it still had the highest cost for UV lamp and UV LED, the GWP of these two UV systems were lower than those of Limpopo, South Africa (highest among all), Kampala, Uganda, and Les Anglais, Haiti. This change in trend was due to Gunungkidul's comparably lower turbidity (0.36 NTU 39 , would allow longer equipment lifetime and less electricity consumption) and a cleaner (0.687 kg CO2eq⋅kWh -1 , 48 vs. 1.014 kg CO2eq⋅kWh -1 for Limpopo, South Africa 49 ) grid in Indonesia. Notably, electricity was not identified as a driver for GWP in the sensitivity analysis, likely due to the narrower ranges considered previously (0.52 kg CO2 eq⋅kWh -1 to 0.87). Finally, it should be noted that as these communities have very limited income, cost is nonetheless still likely to be the largest hurdle for the adoption of the UV technologies, which were found to be orders of magnitudes higher than POU chlorination and AgNP CWF.