Stochastic simulation analysis of Georgia cotton production shows the relationships among key variables that impact the financial returns to cotton farming. A model is developed with aggregated state level data to represent the cotton farming sector. Data are for average costs and returns at the farm level. Random generation of correlated prices and yields accounts for variability of net returns including government payments. Graphical presentations show changes in each component of government payments as market price changes. A negative relationship between government payments and market revenue indicates that commodity income support programs provide a safety net for farmers during periods of low prices