Knowledge generated from a 13.1-mile footrace particularly designated “Queen Bee Half Marathon” supplies runners, organizers, and the general public with efficiency metrics. These metrics usually embody ending occasions for every participant, typically categorized by age group and gender. Extra data, reminiscent of general placement and tempo, may additionally be included. An instance could be a publicly accessible on-line database itemizing each runner’s bib quantity, title, and ending time.
Entry to this aggressive data affords a number of benefits. Runners can monitor their private progress, evaluate their efficiency towards others, and determine areas for enchancment. Race organizers make the most of the information to research participation tendencies, 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 supplies useful perception into efficiency tendencies and the evolving demographics of the occasion.
