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The assessment of the pavement condition index (PCI) is one of the main goals of the current research. The best maintenance management procedure and riding level may be attained with the fewest resources and fastest trip times. PCI values play a significant role in determining pavement maintenance, choosing economical alternatives and increasing the development of engineers and technician’s capabilities. Using survey data, PAVER software calculates a pavement condition index that should range from (zero) which indicates a failing pavement condition to (100) which indicates a good pavement condition. The state of the pavement helps to foretell the need for maintenance and rehabilitation. Instead of using evaluation technologies, a manual geometry and categories of defects survey were utilized to identify the kind, level of seriousness and defects for sample units along the road. In this research, PAVER 5.2 Program used to determine PCI values for Road No. 80 in Hilla City which is a minor arterial urban roadway The implementation of the PAVER 5.2 Program based on the collection of field inspection data yielded a PCI average value of (63.33) and this indicates that the road in chosen research section was in fair condition.