Knowledge generated from a 13.1-mile footrace particularly designated “Queen Bee Half Marathon” gives runners, organizers, and the general public with efficiency metrics. These metrics sometimes embody ending instances for every participant, typically categorized by age group and gender. Extra data, similar to total placement and tempo, might also be included. An instance could be a publicly accessible on-line database itemizing each runner’s bib quantity, identify, and ending time.
Entry to this aggressive data provides a number of benefits. Runners can monitor their private progress, examine their efficiency in opposition to others, and establish areas for enchancment. Race organizers make the most of the information to investigate participation developments, handle logistics, and plan future occasions. Moreover, these outcomes can foster a way of neighborhood amongst individuals and encourage others to pursue health targets. The historic context of previous race information gives precious perception into efficiency developments and the evolving demographics of the occasion.
