This paper presents the analysis of measured sunshine duration data with cloudiness and air pollutants. In this study, for the period 1990-2010 the two data types were used as meteorological parameters that obtained from ground-based observations and air pollutants from measured values of six cities which are localized in the different regions in Turkey. Many studies have shown that there has been relationship between sunshine hours and cloudiness strongly and also air pollutants concentrations have been close related with metorological factors. Measured monthly mean daily values have been used for determining relations between the parameters. Monthly, seasonal and annual periods were statistically analyzed to evaluate the relationships. For statistical process, multiple linear regression analysis was used via SPSS software. It was obtained statistically significant (p<0.05) correlations for all time intervals and established mathematical models between sunshine hours and climatological and air pollution parameters by using linear regression model. Due to the results obtained from regression analysis, it has been seen that there has been the relation as weak or moderate level for different terms.