The new born needs the utmost care for all the neonatal problems for its better outcome in the future and neonatal hyperbilirubinemia is one of them; with its timely detection and management a good prognosis can be predicted. Discharging healthy term babies from the hospital after delivery at increasingly earlier postnatal ages has recently become a common practice for medical, social and economic reasons. However, it has been seen that newborns whose post-delivery hospital stay is less than 72 hours are at a significantly greater risk for readmission than those whose stay is >72 hours. Hyperbilirubinemia is the most commonly reported cause of readmission during the early neonatal period. Hence based on above findings the present study was planned for Clinical Evaluation of Factors Responsible for Neonatal hyperbilirubinemia in by Estimation of 24 Hour Serum Bilirubin Levels. The prospective study conducted at District Female Hospital, Basti during the Period January 2016 to December 2017 in Paediatrics Department and total 2019 full term neonates were enrolled in the present study. Cord Serum Bilurubin and Albumin levels were evaluated in all enrolled cases. Blood samples were drawn by venipuncture into a micro-capillary, which was centrifuged in RM 12 C micro-centrifuge, at the rate of 10000 rpm for 5 min. Bilirubin estimation was done spectrophotometrically using twin beam method (455 and 575 nm wave lengths) and analyzed by Wako Bilirubin Tester Model SE 101 DII. Wako Bilirubin Tester requires only 0.05 ml of serum that can be analyzed directly in the capillary tube after whole blood sample in the micro-capillary has been centrifuged. The most of the cases have developed the significant Neonatal hyperbilurubinemia. 67.9% cases had albuin level more than 2.8 gm/dl. An influencing effect of early discharge on morbidity and mortality of newborns has not been established yet. Making policies against early discharge will not be practical in the present scenario where there are economic constraints, few hospital beds and a very large patient load.