This paper evaluates hypotheses which incorporate designated socioeconomic variables and male age specific incidences of labor force participation. Salient independent variables include education, net migration, unemployment, and earnings. The multiple regression method of analysis is utilized with 100 Standard Metropolitan Statistical Areas comprising the basic units of a cross-sectional analysis. Regression results generally substantiate hypotheses and concur with the findings of previous investigators. But, in contrast to earlier studies, education and net migration emerge as leading determinants of areal labor force patterns; and regression results for men in central age groups are impressive both in terms of the frequency of statistically significant relationships and size of coefficients of determination. These departures from the results of past research are possibly due to the implementation of a more meaningful and rigorous methodology.