Ultramarathon running β any race beyond the standard 42.195 km marathon distance β has exploded from a fringe pursuit into a mainstream endurance sport. What was once the domain of a few hundred eccentrics is now a global movement with hundreds of thousands of finishers per year.
We pulled data from the DUV (Deutsche Ultramarathon-Vereinigung) database, the world's most comprehensive ultra results repository, along with UltraSignup, the IAU (International Association of Ultrarunners), and published research to map the current state of ultramarathon running.
Key Takeaway
Global ultramarathon participation grew by approximately 1,700% between 1996 and 2020, from roughly 34,000 finishes per year to over 600,000. The average ultra finisher is 42β45 years old β significantly older than the average marathoner (35β40). Women make up approximately 23β25% of ultra finishers, up from under 15% in 2000.
The Growth of Ultramarathon Running
The ultra boom is one of the most dramatic participation trends in endurance sports:
| Year | Estimated Global Ultra Finishes | Global Events | Growth |
|---|---|---|---|
| 1996 | ~34,000 | ~160 | β |
| 2000 | ~53,000 | ~280 | +56% |
| 2004 | ~76,000 | ~420 | +43% |
| 2008 | ~130,000 | ~790 | +71% |
| 2012 | ~240,000 | ~1,800 | +85% |
| 2016 | ~420,000 | ~4,100 | +75% |
| 2018 | ~560,000 | ~5,500 | +33% |
| 2019 | ~610,000 | ~6,000 | +9% |
| 2020 | ~210,000 | ~2,100 | -66% (COVID) |
| 2021 | ~380,000 | ~3,800 | Recovery |
| 2022 | ~520,000 | ~5,200 | Near pre-COVID |
| 2023 | ~590,000 | ~5,800 | Surpassing 2019 |
| 2024 | ~640,000 | ~6,200 | New record |
Key phases:
- 1996β2008: Slow organic growth driven by word of mouth
- 2008β2016: Explosive growth β social media, Born to Run, trail culture boom
- 2016β2019: Continued strong growth but rate decelerating
- 2020β2021: COVID devastation β most trail races cancelled
- 2022βpresent: Full recovery and new records
The book "Born to Run" by Christopher McDougall, published in 2009, is widely credited with sparking mainstream interest in ultrarunning. Ultra event registrations began climbing sharply within a year of its publication.
Who Runs Ultras? Demographics
The average ultrarunner looks nothing like the average road runner:
Age Distribution
| Age Group | % of Ultra Finishers | % of Marathon Finishers | Difference |
|---|---|---|---|
| Under 25 | 4β6% | 12β15% | Ultras skew older |
| 25β29 | 8β10% | 15β18% | Still under-represented |
| 30β34 | 12β15% | 16β18% | Approaching parity |
| 35β39 | 16β18% | 14β16% | Ultra sweet spot begins |
| 40β44 | 18β20% | 12β14% | Peak ultra age |
| 45β49 | 15β17% | 9β11% | Strong representation |
| 50β54 | 10β12% | 6β8% | Still going strong |
| 55β59 | 5β7% | 3β5% | Dedicated veterans |
| 60+ | 3β5% | 2β3% | Endurance legends |
The average ultramarathon finisher is 42β45 years old. This is 5β8 years older than the average marathoner. The 40β44 age bracket is the single largest demographic in ultrarunning.
Why ultras skew older:
- Patience and pacing wisdom come with experience
- Aerobic endurance declines slower than speed with age
- Older runners gravitate from "racing fast" to "going far"
- Financial stability allows time for training and race travel
- Life experience builds the mental toughness ultras demand
Gender Split
| Year | Male % | Female % |
|---|---|---|
| 2000 | 86% | 14% |
| 2005 | 83% | 17% |
| 2010 | 80% | 20% |
| 2015 | 77% | 23% |
| 2020 | 76% | 24% |
| 2024 | 75% | 25% |
Women's participation has grown from 14% to 25% over two decades. The growth rate of female ultra participation outpaces male growth by approximately 2:1, meaning the gender split continues to narrow.
Key Takeaway
At shorter ultra distances (50K), women's participation approaches 30%. At 100-mile distances, it drops to approximately 18β20%. The gender gap in participation widens with distance, though it has been closing at every distance level.
Participation by Distance
Not all ultras are created equal. Here's how participation breaks down by distance:
| Distance | % of All Ultra Finishes | Avg Finishers Per Event | Growth Trend |
|---|---|---|---|
| 50K | 42β45% | 120β200 | Strong |
| 50 mile (80K) | 18β22% | 80β150 | Strong |
| 100K | 12β15% | 60β120 | Moderate |
| 100 mile (160K) | 8β12% | 50β100 | Strong |
| 24-hour / multi-day | 3β5% | 30β60 | Stable |
| Other (custom distances) | 10β15% | Varies | Growing |
The 50K is the entry point. Nearly half of all ultra finishes are at the 50K distance, which is essentially a "marathon plus" that many marathon runners transition to naturally.
The 100-miler is growing fastest in cultural significance. While it accounts for only ~10% of finishes, it has an outsized presence in media and community status. Finishing a 100-miler has become the ultra equivalent of qualifying for Boston.
DNF Rates by Distance
The longer the race, the more likely you won't finish:
| Distance | Average DNF Rate | Range |
|---|---|---|
| 50K | 5β10% | 3β15% |
| 50 mile | 12β18% | 8β25% |
| 100K | 15β25% | 10β35% |
| 100 mile | 25β40% | 20β50% |
| 200+ mile | 40β60% | 30β70% |
For comparison, marathon DNF rates are typically 1β2%.
Famous Races and Their DNF Rates
| Race | Distance | Location | Typical DNF Rate |
|---|---|---|---|
| Western States 100 | 100 mi | California, USA | 35β40% |
| UTMB | 171 km | Chamonix, France | 35β45% |
| Hardrock 100 | 100 mi | Colorado, USA | 35β45% |
| Comrades Marathon | ~89 km | South Africa | 15β25% |
| Badwater 135 | 135 mi | Death Valley, USA | 15β25% |
| Barkley Marathons | ~130 mi | Tennessee, USA | 98%+ |
The Barkley Marathons has been held since 1986. In that time, only 17 people have ever finished. Most years, zero runners complete the course. It is arguably the hardest organized footrace on Earth.
Average Finishing Times
What does it take to actually finish these distances?
| Distance | Men Avg Finish | Women Avg Finish | Men Median | Women Median |
|---|---|---|---|---|
| 50K | 5:30β6:00 | 6:15β6:45 | 5:15β5:45 | 6:00β6:30 |
| 50 mile | 10:00β11:00 | 11:30β12:30 | 9:30β10:30 | 11:00β12:00 |
| 100K | 12:00β13:30 | 14:00β15:30 | 11:30β13:00 | 13:30β15:00 |
| 100 mile | 24:00β27:00 | 27:00β30:00 | 23:00β26:00 | 26:00β29:00 |
The median is consistently faster than the average, indicating a right-skewed distribution β a long tail of slower finishers pulls the average up.
The Gender Gap in Ultrarunning
One of ultrarunning's most discussed topics: do women perform relatively better at ultra distances than at shorter distances?
The Gender Performance Gap by Distance
| Distance | Gender Gap (Avg Finish Time) |
|---|---|
| 5K | ~11β12% |
| 10K | ~11β12% |
| Marathon | ~12β14% |
| 50K | ~12β14% |
| 50 mile | ~11β14% |
| 100K | ~12β15% |
| 100 mile | ~10β15% |
The data shows no clear evidence that the gender gap narrows at ultra distances when comparing average or median finishers. The gap remains approximately 11β15% across all distances.
However, there is evidence for a narrowing gap at the very front of the pack in specific ultra events, particularly those emphasizing multi-day endurance and consistent pacing over raw speed.
The Pacing Advantage
Where women do show a measurable advantage is in pacing consistency:
- Women slow down approximately 8β12% in the second half of an ultra
- Men slow down approximately 12β18% in the second half
- This pacing advantage doesn't erase the raw speed difference but helps women finish closer to their potential
A 2020 study published in Medicine & Science in Sports & Exercise analyzed over 5 million race results and found that the gender gap in ultramarathons was similar to that in marathons (~12β14%). The widely cited claim that women "close the gap" at ultra distances is not well supported by population-level data, though individual performances at the elite level suggest the gap may be smaller in the most extreme events.
Country-Level Participation
Ultrarunning is not evenly distributed globally:
| Country | Est. Annual Ultra Finishes | Per Capita Rank |
|---|---|---|
| United States | ~180,000 | High |
| France | ~90,000 | Very high |
| Japan | ~35,000 | High |
| Germany | ~25,000 | Moderate |
| Spain | ~22,000 | High |
| United Kingdom | ~20,000 | Moderate |
| South Africa | ~18,000 | High (Comrades effect) |
| Italy | ~15,000 | Moderate |
| Australia | ~12,000 | Moderate |
| Switzerland | ~10,000 | Very high per capita |
The United States dominates absolute numbers but France has the highest participation rate relative to population. This is largely driven by trail running culture β the UTMB ecosystem alone generates tens of thousands of ultra finishes per year.
South Africa's high ranking is largely attributable to the Comrades Marathon (technically an ultra at ~89 km), which attracts 15,000β20,000 runners annually and has been held since 1921.
The Trail vs Road Split
Ultramarathons can be divided into trail and road events, which attract different demographics:
| Attribute | Trail Ultras | Road Ultras |
|---|---|---|
| % of all ultras | ~70% | ~30% |
| Average age | 43 | 45 |
| Female % | 25% | 20% |
| Average DNF rate | Higher | Lower |
| Average finish time | Slower | Faster |
| Growth rate | Faster | Slower |
Trail ultras are the growth engine. Road ultras (often flat 50K, 100K, or timed events) have stable participation but aren't growing the way trail races are. The Instagram and Strava effect overwhelmingly favors trail running aesthetics.
Performance Trends Over Time
Are ultra runners getting faster?
Elite Level
Yes. Course records at established races continue to fall:
- Western States 100: Record dropped from 15:36 (1986) to 14:09 (2023)
- Comrades Marathon: Record has been pushed from 5:24 (1988) to 5:18 (2024)
- UTMB: Record improved from 20:56 (2003) to 19:01 (2022)
Average Finishers
No β average finishing times have actually gotten slightly slower over the past decade. This isn't because runners are less fit. It's because the massive influx of new participants dilutes the average. More beginners = slower average.
What Predicts Ultra Success?
Research on ultra finishers points to these factors:
-
Training volume matters most. Studies show a strong correlation between weekly training volume (km and hours) and finishing time. No shortcut replaces time on feet.
-
Previous race experience. Runners with 3+ ultra finishes perform significantly better than first-timers at the same distance.
-
Age is less limiting than you think. Performance decline in ultras is slower than in road races. Some studies show peak ultra performance at age 35β45 for 100-mile events.
-
Mental resilience is trainable. DNF rates drop with experience, suggesting that the mental component β managing low points, nutrition, pacing patience β is learnable.
-
Strength training helps. Runners with strength training backgrounds have lower injury rates and faster second halves, particularly in mountain ultras.
Related Articles:
- Marathon DNF Rates β How dropout rates compare at 42.195 km
- Running Performance Decline by Age β How pace changes over the decades
- What Is a Good Marathon Time? β Percentiles for the standard distance
Tools:
- Percentile Calculator β See where your finish time ranks