A survey of household decision-makers and an analysis of their garbage was used to suggest factors affecting the weight of household contributions to municipal solid waste. Iterative regression was used to build a model from the data that is hypothesized to explain garbage weight. Food expenditure, environmental attitude, consumption of soft drinks in plastic bottles, and cats in the household were significant for all households. Self-sufficiency and energy-conscious behavioral scales also affected the subgroup with female householders having an educational level of high school graduation or less.