In this study, joinpoint non-linear regression was used to evaluate the statistical significance of changes in the trend of lung-cancer incidence over time. The subjects in this study were identified in the National Cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) August 2000 submission data set with a diagnosis of lung and bronchus cancer. Joinpoint analysis fits the lung and bronchus diagnosis trend data into the simplest joinpoint model that the data allow. Joinpoint analysis was done to identify the most appropriate joinpoint model for the 196 SEER counties included in this analysis. A single join point model was identified for five of the counties, the remaining 191 counties were fit by the analysis with a "Zero" joinpoint model. This study found 140 counties with significant variation in the trend of Lung and Bronchus diagnosis and 56 counties identified with non-significant variation.