Road Race Stats - Marathons & Other Running Races

Tuesday, August 23, 2005

Stats for 2005 Pikes Peak Ascent

The weather added another challenge to the 7,815-foot climb of last Saturday's Pikes Peak Ascent. There's a first hand description of the weather at this RunTX forum thread. A strong storm with lightning, hail, and snow struck the mountain in the late morning. Fortunately, it was late enough that it didn't seem to affect most of the runners during the race. However, the runners were stuck in the snow for hours after the finish waiting for the snow to be cleared from the road.

The Vail Daily News has an interview with Anita Ortiz, one of the top women runners who ran the Ascent. She has won the women's division in the Ascent for the last 4 years. Last Saturday wasn't her day. She finished about 20 minutes over her target and ended up with fourth place.

The Stats

In many half marathons, I've noticed women making up larger and larger percentages of the total. I suppose this isn't your typical half marathon. In the Ascent, women only made up about 34% of the runners.

There are not too many young runners with only 11% under 30. For the men the 30s and 40s age group each had about 31% of the runners. For the women, the 40s age group was the largest at 38%.

The fastest age group for the men were the 20s. Their average finish time 4:13:46, just about 1 minute slower than the 30s group average. For the women, the 30s age group was the fastest with an average time of 4:43:04.

The fastest city goes to Boulder Colorado. Its 51 runners had an average time of 3:52:24. The fastest state was New Mexico which had 48 runners with an average time of 4:23:17. 68% of the runners came from Colorado.

Here are the details. These stats are based on the results at the 2005 Pikes Peak Ascent Page.

Later in the week, I'll put together the stats for the marathon.

Total Runners by Times

under 3:00h3:00 to 4:00h4:00 to 5:00hover 5:00h
43 (2%)493 (27%)740 (40%)584 (31%)


Male Runners by Times - Move mouse over cells to see median times. Top 3 times also shown in left columns.

Agesunder 3:00h3:00 to 4:00h4:00 to 5:00hover 5:00h
15-191 (6%)4 (24%)9 (53%)3 (18%)
20-299 (8%)34 (29%)51 (44%)23 (20%)
30-3919 (5%)157 (41%)136 (36%)71 (19%)
40-4910 (3%)123 (32%)153 (40%)95 (25%)
50-592 (1%)67 (28%)94 (39%)79 (33%)
60-690 (0%)10 (13%)31 (40%)36 (47%)
70-790 (0%)0 (0%)3 (33%)6 (67%)
Total41 (3%)395 (32%)477 (39%)313 (26%)


Female Runners by Times - Move mouse over cells to see median times. Top 3 times also shown in left columns.

Agesunder 3:00h3:00 to 4:00h4:00 to 5:00hover 5:00h
15-190 (0%)1 (10%)4 (40%)5 (50%)
20-290 (0%)17 (23%)26 (35%)32 (43%)
30-390 (0%)38 (20%)80 (43%)68 (37%)
40-492 (1%)36 (15%)108 (45%)96 (40%)
50-590 (0%)6 (6%)40 (39%)57 (55%)
60-690 (0%)0 (0%)5 (29%)12 (71%)
70-790 (0%)0 (0%)0 (0%)1 (100%)
Total2 (0%)98 (15%)263 (41%)271 (43%)



Average/Best Times By Age Groups (Male and Female)

AgesNumberPercentMean TimeBest Time
15-19271%4:30:492:21:30
20-2919210%4:26:462:25:02
30-3956931%4:24:002:25:26
40-4962333%4:32:562:25:39
50-5934519%4:44:252:49:22
60-69945%4:57:373:26:19
70-79101%5:17:074:01:29
Total1860100%4:33:092:21:30
Fastest Ages (by average)
30-3956931%4:24:002:25:26


Average/Best Times By Male Age Groups

AgesNumberPercentMean TimeBest Time
15-19171%4:19:432:21:30
20-2911710%4:13:462:25:02
30-3938331%4:14:452:25:26
40-4938131%4:24:132:25:39
50-5924220%4:34:442:49:22
60-69776%4:52:343:26:19
70-7991%5:16:414:01:29
Total1226100%4:24:262:21:30
Fastest Ages (by average)
20-2911710%4:13:462:25:02



Average/Best Times By Female Age Groups

AgesNumberPercentMean TimeBest Time
15-19102%4:49:413:31:01
20-297512%4:47:023:10:19
30-3918629%4:43:043:03:21
40-4924238%4:46:402:50:02
50-5910316%5:07:103:28:00
60-69173%5:20:284:14:43
70-7910%5:21:005:21:00
Total634100%4:50:002:50:02
Fastest Ages (by average)
30-3918629%4:43:043:03:21


Average/Best Times By Cities (cutoff=20)

CityNumberPercentMean TimeBest Time
Albuquerque, NM201%4:11:142:50:31
Austin, TX241%5:04:113:29:24
Boulder, CO513%3:52:242:40:04
Colo Springs, CO67236%4:29:422:21:30
Denver, CO704%4:28:242:33:51
Fort Collins, CO251%4:13:133:03:58
Littleton, CO342%4:32:152:57:24
Manitou Spgs, CO392%4:29:412:50:40
Monument, CO362%4:41:382:56:43
Wichita, KS563%4:39:502:53:20
Woodland Park, CO201%4:28:103:30:44
Below Cutoff81344%4:38:422:25:02
Total1860100%4:33:092:21:30
Fastest City (by average)
Boulder, CO513%3:52:242:40:04


Average/Best Times By State (cutoff=20)

StateNumberPercentMean TimeBest Time
AR392%5:01:453:15:06
CA201%5:06:483:32:19
CO127368%4:26:402:21:30
KS985%4:48:352:31:08
MN271%4:47:082:58:19
MO241%4:51:233:22:55
NE201%4:57:403:33:49
NM483%4:23:172:50:31
OK402%4:38:143:20:47
TX563%4:55:113:11:49
Below Cutoff21512%4:45:362:50:11
Total1860100%4:33:092:21:30
Fastest State (by average)
NM483%4:23:172:50:31

2 Comments:

  • Terry from Knoxville (I ended up making a blogger account for leaving comments) - I loved the article from the previous Pikes Peak post, it made me want to put at least the half-mara on the "Must Do" list.

    I'll be curious to see the split times for the marathons and see how they different from the halfers. In that, I expect they would be slower as the marathoners would be saving their energy...

    By Blogger Unknown, at 10:35 AM  

  • If it wasn't over 14K feet up, I think I would also want to give it a try. But 14K feet is a little to high for me... Perhaps some high altitude training would be necessary.

    You're probably right about the splits. This is probably especially the case for newbies. Unless I had done a lot of high altitude training, I would be very careful not to overexert on the way up.

    By Blogger Ken, at 4:50 PM  

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