Materials and Methods: Data in this study were gathered from Multiple Indicator Cluster Survey 2013-2014. The regression analysis was employed to evaluate the relationship of fertility determinants, followed by plotting two-way scatter plots and confidence intervals. For the empirical analysis, the total fertility rate (TFR) was taken as an outcome variable while the employment rate, under-five mortality, and contraceptive use were considered as determinants.

Results: The results indicated that child mortality is a very significant variable in determining the level of fertility and it had the coefficient value of 0.0096. It was further found that child mortality has a positive relationship with fertility rates. Thus, child mortality must be reduced to overcome the issue of high fertility rates at the district level of Punjab. Contraceptive use was also a very effective variable regarding determining the level of fertility and had a negative coefficient value of -0.033. Finally, the employment rate was a very useful variable for the determination of fertility level.

Conclusions: The empirical results revealed that child mortality should be reduced in order to decrease the level of fertility in Punjab, Pakistan, and contraceptive use should develop through family planning programs.