Contextual parameter magnitudes were characterized for all six NSS systems in relation to the cost performance typologies. High-cost implementations of NSS scenarios were in countries with high grid electricity prices (for systems relying on grid electricity), high price level ratios, high labor wages, high animal protein and caloric intake, high food waste, and low household sizes. Vegetal protein intake was found to not be statistically different (p > 0.05) in each cost typology group. Likewise, high-CI emission implementations of the Biogenic Refinery scenarios were in countries with high animal protein and caloric intake, high food waste, and low household sizes. Electricity carbon intensity and vegetal protein intake were not found to be statistically different (p > 0.05) in each emissions typology group. Specifically, parameters without a clear trend across typology groups should be included in local data collection to inform estimates of costs and CI. In the case of country development clustering by typology, countries with very high human development (HDI 1) typically resulted in higher costs and CIs. Higher developed countries typically have higher wages, smaller households, and more calorie-and nutrient-rich diets with higher amounts of food wasted. Decision-makers can use these results to make reasonable estimates related to the sustainability performance and implementation of NSS systems by comparing their level of community development and key contextual parameter characteristics against global averages.