UK Parkruns 2026

Aggregated results across the country

About Parksurf

5km Parkruns take place across the UK in 800+ locations every Saturday morning with around 200,000 runners and walkers participating each week.

Parksurf aggregates age & gender grouped results across these venues to provide insights, achievements and trends that are not readily available on the official Parkrun individual event pages.

Parksurf is an independent, non-commercial project, not affiliated with Parkrun.

Explore

See how your own times compare across Parkrun events throughout the UK. Observe seasonal changes and age-group, gender and venue variations. Celebrate the achievements of our older runners across the country still going strong!

  • fastest, average (and slowest!) times across the age-groups
  • participation rates each week
  • compare venues
  • follow friends
5.64 Million Runs logged
839 Venues
14:13 Fastest time
stats from one particular week
count by age-group column chart

Why?

I'm a professional web-developer hobbyist. I enjoy building professional-grade web applications that are interesting and add value.

Parkruns produce large amouts of data. I built this project to explore the data, create extra motivation in my running, provide a resource for others to do the same, have fun and develop my skills.

Men consistently turn out in greater numbers than women across the age-groups by about 30%. But at one age-group, women consistently out-participate men. What is going on there??

Collaboration

If you have web development experience and are interested in collaborating on this project or to build new projects, I would love to hear from you! Parkrun Pro is built with the following stack:

  • Ruby on Rails
  • PostgreSQL
  • Bootstrap
  • Hotwire
table of venues and their stats
manage friends form

A Word on Data

  • Participants' age-groups are as published by Parkrun. I assume them to be true in the vast majority of cases.
  • To determine average age, I make the assumption that participants are evenly distributed across their age-group.
  • A small percentage of participants are anonymous and I remove these from the analysis.
  • There is no means to uniquely identify participants with shared names. When following friends, you may also see data for other participants who happen to share their name. Bad news if you are friends with a Paul Smith.
  • There seems to be no officially published list of active Parkrun venues. If you are aware of a missing venue, please let me know.
  • Data is collated from January 3, 2026 onwards.

Feedback

I would love to hear your feedback, suggestions, and bug reports. Please get in touch at surfthepark@gmail.com.

But are you any good at running?

Not really! PB: 22:52.

That week 25,710 people ran faster than me. (I was the 42nd Daniel/Dan/Danny in my age-group nationally!)