We analyze Bangladesh’s gross domestic product (GDP) data using a factor analysis model to find out the contributing factors that affect GDP. The Factors are calculated in two different methods and the adequacy of the factor model is tested. We use Principal Component and Maximum Likelihood factor analysis approaches and apply them to GDP data for the year 1999-2000. Data has been collected by the Bangladesh Bureau of Statistics on 17 contributing sectors. The analysis has revealed that seventeen sectors have been classified into three factors that are contributing to Bangladesh’s GDP. These three factors for principal component analysis are renamed as service factor, agriculture & infrastructure factor, and fishing & mining factor. In maximum likelihood method the factors are renamed as service factor, agriculture & infrastructure factor, and education factor. Lastly the factor scores as district-wise for the three factors are compared. Since the availability of gross domestic product data is very scarce, the data for the year 1999-2000 is used for the analysis.