Geographers contend that regional and national contexts are important mediating and controlling in?uences on globalization processes. However, to reach this conclusion, geographers have been forced to engage in rather convoluted statistical manipulations to try to isolate the so-called ‘geographic factor’. Recent developments in multilevel statistical modeling offer a more precise and suitable methodology for examination of contextual factors in political behavior if the data have been collected in a hierarchical manner with respondents grouped into lower-level and higher-level districts. The World Values Survey data (collected in three waves from 1980 to 1997) for 65 countries are ideally suited to examination of the hypothesis that democratic beliefs and practices are globalizing. Using three key predictors (trust in fellow citizens, political interest, and volunteerism) for the sample of 91,160 respondents, it is evident that regional (for the 550 regions) and country settings (between 55 and 65 countries) are important predictors of political behavior, on the order of about 10% and 20%, respectively. Respondent characteristics account for about 70% of the variance explained. Ideology is far more signi?cant than many of the usual demographic characteristics in explaining political behavior cross-nationally. Dramatic differences between established and new democracies clarify the political globalization process and global regions (Latin America, Eastern Europe, Western Europe, etc) also emerge as signi?cant factors. Multilevel modeling of survey data offers a compromise between the aggregate data analysis preferred by geographers and the emphasis on surveys in a non-geographic context preferred by political scientists.