Georgia cotton yields are highly variable and the factors affecting yield and yield variability are complex. Several single-variable and multi-variable linear regression equations were tested to determine the reliability of crop progress and crop condition on critical dates to forecast or predict Georgia cotton yield. The best estimator of yield was the condition of the crop on August 1. On average, Georgia cotton is 99 percent squared, 89 percent bolls set, and 2 percent bolls open on August 1. The August 1 condition accounts for 91 percent of the variability in yield and the regression equation bad a standard error of only 39.5 pounds per acre. A separate series of regressions found that the July 1 condition and July precipitation were reliable estimators of the August 1 condition of the crop.