5K age grading
25-minute 5K age grading by age
A 25-minute 5K is a strong benchmark for many runners. Learn how age grading changes the way you compare it by age.
A 25-minute 5K is a strong benchmark for many recreational runners. It is quick enough to show fitness and consistency, but common enough that many club runners and parkrun-distance runners can relate to it.
But like every race time, it needs context.
A 25-minute 5K at 30 and a 25-minute 5K at 65 are the same raw time. They are not usually the same age-group performance.
What pace is a 25-minute 5K?
A 25-minute 5K works out at:
- 5:00 per kilometre
- about 8:03 per mile
That is a purposeful pace. For many runners, getting under 25 minutes takes regular training, decent pacing and some speed endurance.
Why age changes the comparison
The 5K rewards both speed and control. As runners get older, maintaining the same 5K pace can become harder, especially if recovery and top-end speed change.
Age grading recognises that. It compares your 25-minute result with age and gender standards for the distance, producing an age-graded percentage and an age-adjusted equivalent time.
Is 25 minutes good?
For most recreational runners, yes. It is a solid 5K result.
For an older age-group runner, it can be considerably stronger in age-adjusted terms. The best way to judge it is to enter your own age and gender into the calculator rather than comparing raw times with younger runners.
How to compare across ages
Use TruePace Run like this:
- Choose 5K.
- Enter 25:00.
- Add the first runner's age and gender.
- Note the age-graded percentage and adjusted time.
- Run the calculator again for the second runner.
That gives a fairer comparison than the finish clock alone.
Keep the caveats
Age grading does not know whether the 5K was on a fast road course, a track, a muddy park or a hilly route. It also does not know whether the runner was racing flat out.
Treat the result as useful context, not an official ranking.
Sources
For how TruePace Run uses sourced standards in the calculator, read the methodology and data sources.