At head of title: Project Summary. "EPA/600-SR-93-096." "July 1993."

Data on the distribution and usage of firewood were obtained from a pool of household wood use surveys. Base on a series of regression models developed using the STEPWISE procedure in the SAS statistical package, two variables appear to be most predictive of wood use per household: (1) heating degree days, and (2) percentage of households that burn wood as a main heat source. The average number of cords burned in fireplaces is estimated as a function of the total number of cords burned per household, availability of wood, and population density. Models were also developed to estimate the distribution of wood-burning devices. Variables that appear to be most predictive of the percentage of wood stoves are percentage of households that burn wood as a main heat source, heating degree days, availability of wood, and percentage of urban population. input data, predicted values, and deviations from actual values are tabulated for each model. Graphs for each model show both actual and predicted values for the variables being estimated.