2005 Bolder Boulder 10K

The US women did well in yesterday's Bolder Boulder 10K. Elva Dryer of Albuquerque, NM won with a time of 32:51 and the US women won the team event. The second place winner was Merima Hashim of Ethiopia. She finished with a time of 33:17. One thing I found interesting was that Hashim had run the night before at the Payton Jordan Invitational in Palo Alto, CA. Her finish time for that 10K event was 32:14. I wonder if the minute slowdown at Boulder is due to lack of recovery time, altitude, weather, or the course.

The top country for the Men's 10K was Ethiopia. Ethiopian Guidisa Shentama took first place with a time of 29:21 and Ethiopian Mohammed Awol took second place with a time of 29:27. The 29:21 winning time was the slowest winning time since 1994. The weather wasn't to blame. The temperature was 55°, 90% humidity with cloudly skies.

I found this DenverPost article to have the best race summary.

The cloudy and foggy skies seemed to put a damper on the post race events. There was no parachuting or fighter jet flyovers. Perhaps it affected the race participation. I've updated the stats that I did in may last post with the 2005 results. The number of finishers were down by about 3% from last year and down by about 5% from 2003 (based on finish numbers at Bolder Boulder Citizens Race Results).

Boulder seems to be a good place for road races in late May. For the last four races, it has always been in the low to mid fifties. With so little temperature variation, I don't think the changes to the top-100 mean finish times can be attributed to just the temperatures. The top-100 means for both the men and women improved this year over last year. The men were 15 seconds faster and the women were 19 seconds faster. It's interesting to note that 2005 looked very similar to 2002. Both had similar number of finishers, finish times were less than 8 seconds apart and both had the same temperature.

2005 and Previous 4 Years of Bolder Boulder 10K

Year	Total Finishers	M%/F%	Mean Top 100 (M)	Mean Top 100 (F)	Temp °F	Hum %
2005	42141	47%/53%	34:06	40:19	52°	94%
2004	43650	46%/54%	34:21	40:38	54°	41%
2003	44568	47%/53%	34:03	40:43	55°	91%
2002	42123	46%/54%	33:58	40:24	52°	75%
2001	40723	47%/53%	33:56	40:11	?	?

The above race stats are based on the 10K Citizens Race results (which excludes the professionals) from the Bolder Boulder 10K Race Results page. The weather stats are based on data from Weather Underground.

Technorati Tags: running, 10K, boulder

Bolder Boulder 10K

The Bolder Boulder 10K (the nation's second largest 10K) will be held this Memorial Day (5/30/05) at Boulder Colorado. I like how they make the race into a whole day activity. The non-professional runners start early and finish at Folsom Field Stadium. After they finish, there's a Memorial Day tribute with sky divers and military flyovers. And finally, everyone gets to watch the professional women and men run the 10K. I don't know any other races where the average runners get to watch the professionals.

Below are some basic stats from the last four years of the race. The times are based on the top 100 men and top 100 women in the Citizens Race (not the professionals). Later I plan to compare these Boulder races with other 10Ks. This race is run at a high elevation of over 5284ft. How do times at this elevation compare to times at lower elevations?

Past Bolder Boulder 10K Citizens Race Results

Year	Total Finishers	M%/F%	Mean Top 100 (M)	Mean Top 100 (F)	Temp °F	Hum %
2001	40723	47%/53%	33:56	40:11	?	?
2002	42123	46%/54%	33:58	40:24	52°	75%
2003	44568	47%/53%	34:03	40:43	55°	91%
2004	43650	46%/54%	34:21	40:38	54°	41%

The above race stats are based on results from the Bolder Boulder 10K Race Results page. The weather stats are based on data from Weather Underground.

Green Bay Marathon and Half Marathon Stats

For any marathon runners who are Packers fans, this race is for you. Runners of all the races got to run a lap around Lambeau Field in the last mile. For half marathon runners, you get to finish at the same place as the marathon runners. That meant if you were able to finish the half before about 2:15, you got to see the marathon winners.

The only problem about having the half and the full marathons start and finish at the same place is that the half marathon course has to split off from the full marathon course. This can cause confusion. It happened last March to the half marathon runner Wesley Ochoro in the Valley of the Sun Half Marathon. And it happened in Green Bay to David Busieni who finished 2nd in the marathon last Sunday after he ran about 200 yards off course where the two races forked. Luckily, the half marathon leader asked Busieni what race he was running before he lost too much ground. But this was a major factor. Before the fork at mile 8, Busieni and Wilson Komen (who won the marathon) were within seconds of each other. Then at mile 11, Komen had about a 1.5 minute lead.

The Stats

I've included both the full and half marathon stats from last Sunday's Cellcom Green Bay Marathon. The age-group/times tables now includes median times and the top-10 mean times. As explained in my last post, the top-10 mean time is the mean of the top 10 finishers in the age category. It is intended to provide for a better comparison between age groups. Both the mean and median can be affected by a large number of walkers. So the top-10 mean should allow for a better comparison between groups.

Half-Marathons More Popular with Women

There's one trend that stands out race after race, and that's the popularity of half marathons with women. There were over twice the number of men in the full marathon as women (2.16 to 1). However, for the half marathon, women outnumber men (just barely 1.01 to 1). This is very similar to Cleveland (marathon: 2.29 men to 1 woman, half: 1.13 women to 1 man).

Marathons Attract More Out-of-State Runners

And in another stat that's similar to Cleveland, 37% of the marathon runners were from outside of Wisconsin vs. 19% of the half marathon runners. Clevelands numbers were 39% and 21%.

Men Slow Down More with Age?

As I mentioned in the last post, by comparing age groups using the top-10 mean, the observation about women slowing down more with age, doesn't hold up. At least not at Green Bay. For both the full and half marathons, there was more slowdown with the men than the women for the 20s, 30s, and 40s age groups.

Full Marathon

Total Runners by Times

under 3:00	3:00 to 4:00	4:00 to 5:00	over 5:00
31 (3%)	331 (37%)	390 (43%)	148 (16%)

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

Ages	under 3:00	3:00 to 4:00	4:00 to 5:00	over 5:00
teens	0 (0%)	3 (30%)	4 (40%)	3 (30%)
twenties	7 (9%)	37 (47%)	30 (38%)	5 (6%)
thirties	13 (8%)	85 (50%)	54 (32%)	19 (11%)
forties	3 (1%)	110 (54%)	80 (39%)	12 (6%)
fifties	0 (0%)	30 (30%)	49 (49%)	22 (22%)
sixties	0 (0%)	2 (9%)	12 (52%)	9 (39%)
seventies	0 (0%)	0 (0%)	1 (50%)	1 (50%)
unknown	1 (4%)	3 (13%)	10 (42%)	10 (42%)
Total	24 (4%)	270 (44%)	240 (39%)	81 (13%)

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

Ages	under 3:00	3:00 to 4:00	4:00 to 5:00	over 5:00
teens	0 (0%)	0 (0%)	5 (100%)	0 (0%)
twenties	3 (4%)	22 (30%)	39 (53%)	9 (12%)
thirties	2 (2%)	25 (27%)	49 (53%)	16 (17%)
forties	2 (2%)	13 (14%)	48 (51%)	31 (33%)
fifties	0 (0%)	1 (7%)	5 (33%)	9 (60%)
sixties	0 (0%)	0 (0%)	1 (50%)	1 (50%)
seventies	0 (0%)	0 (0%)	0 (0%)	1 (100%)
unknown	0 (0%)	0 (0%)	3 (100%)	0 (0%)
Total	7 (2%)	61 (21%)	150 (53%)	67 (24%)

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

Ages	#	%	Mean	Best
teens	15	2%	4:28:42	3:17:01
twenties	152	17%	4:05:25	2:17:30
thirties	263	29%	4:08:02	2:19:34
forties	299	33%	4:14:30	2:37:45
fifties	116	13%	4:34:22	3:12:31
sixties	25	3%	5:04:01	3:44:06
seventies	3	0%	6:08:35	4:46:27
unknown	27	3%	4:50:30	2:56:09
Total	900	100%	4:16:43	2:17:30
Fastest Ages (by overall mean)
twenties	152	17%	4:05:25	2:17:30

Average/Best Times By Male Age Groups

Ages	#	%	Mean	Median	Top10 Mean	Best
teens	10	2%	4:28:12	4:40:01	4:28:12	3:17:01
twenties	79	13%	3:55:17	3:56:38	2:45:54	2:17:30
thirties	171	28%	3:59:51	3:54:17	2:37:29	2:19:34
forties	205	33%	4:01:09	3:53:55	3:01:00	2:37:45
fifties	101	16%	4:26:24	4:21:14	3:29:30	3:12:31
sixties	23	4%	5:05:03	4:54:59	4:24:39	3:44:06
seventies	2	0%	5:59:09	5:59:09	5:59:09	4:46:27
unknown	24	4%	4:55:30	4:37:16	3:51:35	2:56:09
Total	615	100%	4:09:31	4:03:26	2:28:10	2:17:30
Fastest Ages (by overall mean)
twenties	79	13%	3:55:17	3:56:38	2:45:54	2:17:30

Average/Best Times By Female Age Groups

Ages	#	%	Mean	Median	Top10 Mean	Best
teens	5	2%	4:29:44	4:42:14	4:29:44	4:06:35
twenties	73	26%	4:16:24	4:18:41	3:17:29	2:52:37
thirties	92	32%	4:23:14	4:16:28	3:24:03	2:40:57
forties	94	33%	4:43:39	4:36:36	3:20:25	2:53:22
fifties	15	5%	5:28:02	5:03:53	4:56:48	3:50:29
sixties	2	1%	4:52:02	4:52:02	4:52:02	4:29:36
seventies	1	0%	6:27:27	6:27:27	6:27:27	6:27:27
unknown	3	1%	4:10:34	4:08:41	4:10:34	4:05:49
Total	285	100%	4:32:15	4:22:26	2:57:56	2:40:57
Fastest Ages (by overall mean)
twenties	73	26%	4:16:24	4:18:41	3:17:29	2:52:37

Average/Best Times By Cities (cutoff=20)

City	#	%	Mean	Best
Appleton, WI	35	4%	4:15:20	3:02:37
De Pere, WI	34	4%	4:18:25	2:47:50
Green Bay, WI	117	13%	4:13:10	2:42:18
Madison, WI	24	3%	4:08:33	3:09:52
Below Cutoff	690	77%	4:17:35	2:17:30
Total	900	100%	4:16:43	2:17:30
Fastest City (by overall mean)
Madison, WI	24	3%	4:08:33	3:09:52

Average/Best Times By State (cutoff=20)

State	#	%	Mean	Best
IA	32	4%	4:35:27	3:06:35
IL	83	9%	4:18:49	2:51:07
MI	39	4%	4:05:35	2:37:45
MN	64	7%	4:13:27	2:31:21
WI	569	63%	4:16:10	2:31:32
Below Cutoff	113	13%	4:18:18	2:17:30
Total	900	100%	4:16:43	2:17:30
Fastest State (by overall mean)
MI	39	4%	4:05:35	2:37:45

Half-Marathon

Total Runners by Times

under 1:30	1:30 to 2:00	2:00 to 2:30	over 2:30
62 (4%)	621 (40%)	616 (39%)	262 (17%)

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

Ages	under 1:30	1:30 to 2:00	2:00 to 2:30	over 2:30
teens	3 (13%)	14 (61%)	6 (26%)	0 (0%)
twenties	21 (16%)	68 (52%)	30 (23%)	13 (10%)
thirties	19 (9%)	121 (57%)	58 (27%)	13 (6%)
forties	10 (5%)	135 (66%)	48 (23%)	12 (6%)
fifties	3 (3%)	47 (49%)	33 (35%)	12 (13%)
sixties	0 (0%)	5 (17%)	16 (55%)	8 (28%)
seventies	0 (0%)	0 (0%)	1 (20%)	4 (80%)
unknown	1 (1%)	25 (33%)	36 (48%)	13 (17%)
Total	57 (7%)	415 (54%)	228 (29%)	75 (10%)

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

Ages	under 1:30	1:30 to 2:00	2:00 to 2:30	over 2:30
teens	0 (0%)	12 (38%)	14 (44%)	6 (19%)
twenties	3 (2%)	55 (28%)	112 (56%)	30 (15%)
thirties	0 (0%)	85 (31%)	141 (51%)	48 (18%)
forties	2 (1%)	46 (23%)	87 (44%)	63 (32%)
fifties	0 (0%)	5 (10%)	20 (41%)	24 (49%)
sixties	0 (0%)	0 (0%)	5 (56%)	4 (44%)
seventies	0 (0%)	0 (0%)	1 (100%)	0 (0%)
unknown	0 (0%)	3 (13%)	8 (35%)	12 (52%)
Total	5 (1%)	206 (26%)	388 (49%)	187 (24%)

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

Ages	#	%	Mean	Best
teens	55	4%	2:04:15	1:21:08
twenties	332	21%	2:05:03	1:06:55
thirties	485	31%	2:05:07	1:08:48
forties	403	26%	2:09:06	1:19:50
fifties	144	9%	2:16:29	1:25:05
sixties	38	2%	2:28:17	1:43:14
seventies	6	0%	2:52:43	2:06:39
unknown	98	6%	2:17:42	1:29:51
Total	1561	100%	2:08:41	1:06:55
Fastest Ages (by overall mean)
teens	55	4%	2:04:15	1:21:08

Average/Best Times By Male Age Groups

Ages	#	%	Mean	Median	Top10 Mean	Best
teens	23	3%	1:49:13	1:42:07	1:34:04	1:21:08
twenties	132	17%	1:55:34	1:52:38	1:11:31	1:06:55
thirties	211	27%	1:55:14	1:52:42	1:13:43	1:08:48
forties	205	26%	1:55:40	1:50:51	1:26:15	1:19:50
fifties	95	12%	2:05:58	1:59:00	1:33:51	1:25:05
sixties	29	4%	2:23:27	2:13:27	1:55:40	1:43:14
seventies	5	1%	2:57:18	3:10:17	2:57:18	2:06:39
unknown	75	10%	2:11:51	2:07:00	1:41:19	1:29:51
Total	775	100%	1:59:36	1:54:29	1:09:12	1:06:55
Fastest Ages (by overall mean)
teens	23	3%	1:49:13	1:42:07	1:34:04	1:21:08

Average/Best Times By Female Age Groups

Ages	#	%	Mean	Median	Top10 Mean	Best
teens	32	4%	2:15:03	2:09:32	1:51:03	1:40:00
twenties	200	25%	2:11:19	2:06:48	1:33:07	1:20:36
thirties	274	35%	2:12:44	2:06:51	1:38:08	1:35:09
forties	198	25%	2:23:01	2:15:27	1:37:50	1:25:13
fifties	49	6%	2:36:52	2:29:18	1:57:21	1:38:22
sixties	9	1%	2:43:52	2:28:59	2:43:52	2:17:30
seventies	1	0%	2:29:46	2:29:46	2:29:46	2:29:46
unknown	23	3%	2:36:47	2:31:53	2:10:59	1:42:50
Total	786	100%	2:17:39	2:10:44	1:29:49	1:20:36
Fastest Ages (by overall mean)
twenties	200	25%	2:11:19	2:06:48	1:33:07	1:20:36

Average/Best Times By Cities (cutoff=20)

City	#	%	Mean	Best
Appleton, WI	94	6%	2:04:47	1:15:07
De Pere, WI	61	4%	2:12:57	1:33:31
Depere, WI	24	2%	2:07:17	1:34:23
Green Bay, WI	306	20%	2:13:13	1:18:41
Madison, WI	26	2%	1:59:35	1:07:07
Milwaukee, WI	39	2%	2:08:11	1:08:48
Neenah, WI	31	2%	2:06:26	1:13:18
Oshkosh, WI	33	2%	2:02:41	1:18:45
Sheboygan, WI	27	2%	2:05:48	1:19:30
Below Cutoff	920	59%	2:07:59	1:06:55
Total	1561	100%	2:08:41	1:06:55
Fastest City (by overall mean)
Madison, WI	26	2%	1:59:35	1:07:07

Average/Best Times By State (cutoff=20)

State	#	%	Mean	Best
IL	79	5%	2:09:40	1:21:08
MI	74	5%	2:12:54	1:16:21
MN	72	5%	2:07:15	1:25:13
WI	1257	81%	2:08:03	1:07:07
Below Cutoff	79	5%	2:15:13	1:06:55
Total	1561	100%	2:08:41	1:06:55
Fastest State (by overall mean)
MN	72	5%	2:07:15	1:25:13

The above stats are based on 5/22/05 results from the Cellcom Green Bay Marathon results page.

Gender Slowdown Comparisons and Green Bay

I received some good input on my last post about my observation that women seem to slow down more than men as they get older. One important factor is the number of walkers who may participate. If there are more older women walkers, this could explain the larger female slowdown. Another comment suggested looking at the top 10 in each age category. That seemed like a good way to reduce the effects of the walkers. So I added two additional times to my Times-by-Age tables: overall median and top-10 mean. The top-10 mean is the mean of the top 10 finishers for the particular age group.

Also, it should be noted that much more race data is needed. So I've also included the stats from last Sunday's Green Bay Marathon (I'll be posting the full Green Bay stats soon). This is still a small sample, but at least it helps.

Top-10 Mean Similar to Overall Mean for Cleveland

Below are the new tables for both marathons. For the Cleveland Marathon, the top-10 means for 20s through 40s age groups have similar slowdowns as the total means. In fact, this slowdown is similar for all four times (mean, median, top-10 mean, and best time). For all cases, women in their 40s are much slower than those in their 20s (around 20 minutes). However, for the men the times between the 20s, 30s, and 40s age groups are much closer. In fact, the top-10 mean times actually decrease with age.

Top-10 Mean Makes a Difference for Green Bay

The Green Bay results seem to complicate the picture. The stats are similar to Cleveland when only looking at the means. Men slow down about 6 minutes from 20s to 40s. Women slow down about 27 minutes from 20s to 40s.

However, things get more complicated when looking at the top-10 means. The men's top-10 mean slowed by about 15 minutes from 20s to 40s. The women, on the other hand, slowed by only about 3 minutes. The 30s age group complicated things even more. For the men the 30s top-10 mean was the fastest. For the women it was the slowest.

Perhaps with more data, there will be a clearer picture. I suppose these stats may be helping to prove Mark Twain's old adage "There are three types of lies: lies, damn lies, and statistics"....

Cleveland Marathon (5/22/05)

Times By Male Age Groups

Ages	#	%	Mean	Median	Top10 Mean	Best
teens	9	1%	4:03:57	3:30:50	4:03:57	2:57:03
twenties	167	15%	4:00:45	3:52:15	2:54:11	2:40:00
thirties	361	32%	3:59:55	3:56:44	2:37:54	2:22:00
forties	341	31%	4:02:12	3:56:44	2:50:27	2:44:50
fifties	194	17%	4:17:21	4:10:18	3:20:18	2:58:02
sixties	35	3%	4:46:28	4:37:18	3:44:33	3:30:43
seventies	6	1%	5:33:15	5:28:26	5:33:15	4:43:54
unknown	1	0%	4:48:01	4:48:01	4:48:01	4:48:01
Total	1114	100%	4:05:49	3:58:37	2:36:54	2:22:00
Fastest Ages (by overall mean)
thirties	361	32%	3:59:55	3:56:44	2:37:54	2:22:00

Times By Female Age Groups

Ages	#	%	Mean	Median	Top10 Mean	Best
teens	8	2%	4:32:32	4:31:43	4:32:32	3:40:11
twenties	171	35%	4:16:55	4:14:27	3:12:42	2:54:53
thirties	157	32%	4:32:40	4:22:37	3:20:16	3:03:54
forties	113	23%	4:34:12	4:26:53	3:32:35	3:09:22
fifties	33	7%	4:53:25	4:52:14	4:01:36	3:25:46
sixties	3	1%	5:43:04	6:16:35	5:43:04	4:34:53
unknown	1	0%	4:12:57	4:12:57	4:12:57	4:12:57
Total	486	100%	4:29:17	4:22:25	3:07:07	2:54:53
Fastest Ages (by overall mean)
twenties	171	35%	4:16:55	4:14:27	3:12:42	2:54:53

The above stats are based on 5/22/05 results from the Rite Aid Cleveland Marathon and 10K results page.

Green Bay Marathon (5/22/05)

Times By Male Age Groups

Ages	#	%	Mean	Median	Top10 Mean	Best
teens	10	2%	4:28:12	4:40:01	4:28:12	3:17:01
twenties	79	13%	3:55:17	3:56:38	2:45:54	2:17:30
thirties	171	28%	3:59:51	3:54:17	2:37:29	2:19:34
forties	205	33%	4:01:09	3:53:55	3:01:00	2:37:45
fifties	101	16%	4:26:24	4:21:14	3:29:30	3:12:31
sixties	23	4%	5:05:03	4:54:59	4:24:39	3:44:06
seventies	2	0%	5:59:09	5:59:09	5:59:09	4:46:27
unknown	24	4%	4:55:30	4:37:16	3:51:35	2:56:09
Total	615	100%	4:09:31	4:03:26	2:28:10	2:17:30
Fastest Ages (by overall mean)
twenties	79	13%	3:55:17	3:56:38	2:45:54	2:17:30

Times By Female Age Groups

Ages	#	%	Mean	Median	Top10 Mean	Best
teens	5	2%	4:29:44	4:42:14	4:29:44	4:06:35
twenties	73	26%	4:16:24	4:18:41	3:17:29	2:52:37
thirties	92	32%	4:23:14	4:16:28	3:24:03	2:40:57
forties	94	33%	4:43:39	4:36:36	3:20:25	2:53:22
fifties	15	5%	5:28:02	5:03:53	4:56:48	3:50:29
sixties	2	1%	4:52:02	4:52:02	4:52:02	4:29:36
seventies	1	0%	6:27:27	6:27:27	6:27:27	6:27:27
unknown	3	1%	4:10:34	4:08:41	4:10:34	4:05:49
Total	285	100%	4:32:15	4:22:26	2:57:56	2:40:57
Fastest Ages (by overall mean)
twenties	73	26%	4:16:24	4:18:41	3:17:29	2:52:37

The above stats are based on 5/22/05 results from the Cellcom Green Bay Marathon results page.

Cleveland Marathon, Half, and 10K Stats

I've put together the stats for all of three of last Sunday's races. Below are some observations.

Women Slow Down More with Age?

The stats suggest women slow down with age more than men. There are likely other factors, but the stats are interesting. For the marathon the mean time of women in their twenties was 4:16:55. This increased to 4:32:40 for the thirties age group and 4:34:12 for the forties (slowdown of over 17 minutes)

For the men in their twenties, the mean time was 4:00:45. For those in their thirties it was 3:59:55, and for those in their forties it was 4:02:12 (slowdown of less than 2 minutes).

Similar results were seen in the half-marathon. For the men, the average time for the forties age group was actually 4 seconds faster than the twenties age group. For the women, the forties age group was over 17 minutes slower (very close to the marathon results coincidentally).

And this trend held up with the 10K.

Half-Marathons More Popular with Women

Men outnumbered the women in both the marathon (2.29 to 1) and the 10K (1.32 to 1). However, in the half-marathon, women outnumber men (1.13 to 1). As I've seen in previous half-marathons, women in their twenties greatly outnumber men (239 to 107). Even in the marathon, women in their twenties were a large number although not quite as much as the men (167 women to 171 men). Perhaps this is a factor in the observed slowdown-with-age for women.

Marathons Attract More Out-of-State Runners

I guess this is to be expected, the longer the race, the more out-of-state runners participated. 39% of the marathon runners were from outside of Ohio. For the half-marathon, this percentage dropped to 21%. And for the 10K it dropped to 8%.

Temperature Effects

I'll be eventually combining these stats with the race temperatures and expanding my temperature effects data. For now, I'll just list the temperature facts. The race day weather was ideal. From Weather Underground, the temperature at 7:51am (51 minutes after the marathon full/half start) was 51°F (83% humidity) with scattered clouds. By 9:51am it had warmed to 61°F (60% humidity).

Below are the detailed stats. Let me know in the comments if you find any interesting observations.

Full Marathon

Total Runners by Times

under 3:00	3:00 to 4:00	4:00 to 5:00	over 5:00
41 (3%)	676 (42%)	665 (42%)	218 (14%)

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

Ages	under 3:00	3:00 to 4:00	4:00 to 5:00	over 5:00
teens	1 (11%)	5 (56%)	1 (11%)	2 (22%)
twenties	9 (5%)	92 (55%)	48 (29%)	18 (11%)
thirties	16 (4%)	183 (51%)	136 (38%)	26 (7%)
forties	12 (4%)	178 (52%)	118 (35%)	33 (10%)
fifties	1 (1%)	74 (38%)	97 (50%)	22 (11%)
sixties	0 (0%)	10 (29%)	11 (31%)	14 (40%)
seventies	0 (0%)	0 (0%)	1 (17%)	5 (83%)
unknown	0 (0%)	0 (0%)	1 (100%)	0 (0%)
Total	39 (4%)	542 (49%)	413 (37%)	120 (11%)

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

Ages	under 3:00	3:00 to 4:00	4:00 to 5:00	over 5:00
teens	0 (0%)	1 (13%)	5 (63%)	2 (25%)
twenties	2 (1%)	59 (35%)	89 (52%)	21 (12%)
thirties	0 (0%)	45 (29%)	80 (51%)	32 (20%)
forties	0 (0%)	26 (23%)	60 (53%)	27 (24%)
fifties	0 (0%)	3 (9%)	16 (48%)	14 (42%)
sixties	0 (0%)	0 (0%)	1 (33%)	2 (67%)
unknown	0 (0%)	0 (0%)	1 (100%)	0 (0%)
Total	2 (0%)	134 (28%)	252 (52%)	98 (20%)

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

Ages	Number	Percent	Mean Time	Best Time
teens	17	1%	4:17:24	2:57:03
twenties	338	21%	4:08:56	2:40:00
thirties	518	32%	4:09:51	2:22:00
forties	454	28%	4:10:10	2:44:50
fifties	227	14%	4:22:36	2:58:02
sixties	38	2%	4:50:56	3:30:43
seventies	6	0%	5:33:15	4:43:54
unknown	2	0%	4:30:29	4:12:57
Total	1600	100%	4:12:57	2:22:00
Fastest Ages (by average)
twenties	338	21%	4:08:56	2:40:00

Average/Best Times By Male Age Groups

Ages	Number	Percent	Mean Time	Best Time
teens	9	1%	4:03:57	2:57:03
twenties	167	15%	4:00:45	2:40:00
thirties	361	32%	3:59:55	2:22:00
forties	341	31%	4:02:12	2:44:50
fifties	194	17%	4:17:21	2:58:02
sixties	35	3%	4:46:28	3:30:43
seventies	6	1%	5:33:15	4:43:54
unknown	1	0%	4:48:01	4:48:01
Total	1114	100%	4:05:49	2:22:00
Fastest Ages (by average)
thirties	361	32%	3:59:55	2:22:00

Average/Best Times By Female Age Groups

Ages	Number	Percent	Mean Time	Best Time
teens	8	2%	4:32:32	3:40:11
twenties	171	35%	4:16:55	2:54:53
thirties	157	32%	4:32:40	3:03:54
forties	113	23%	4:34:12	3:09:22
fifties	33	7%	4:53:25	3:25:46
sixties	3	1%	5:43:04	4:34:53
unknown	1	0%	4:12:57	4:12:57
Total	486	100%	4:29:17	2:54:53
Fastest Ages (by average)
twenties	171	35%	4:16:55	2:54:53

Average/Best Times By Cities (cutoff=20)

City	Number	Percent	Mean Time	Best Time
Akron, OH	32	2%	4:18:14	3:17:33
Canton, OH	21	1%	4:06:40	3:07:51
Chagrin Falls, OH	21	1%	4:13:16	3:18:24
Cleveland, OH	67	4%	4:13:42	2:22:00
Columbus, OH	40	3%	4:04:16	3:07:04
Lakewood, OH	32	2%	4:33:09	3:09:50
Medina, OH	36	2%	4:19:18	2:38:08
Pittsburgh, PA	79	5%	4:06:14	2:55:54
Solon, OH	20	1%	3:52:22	2:50:45
Westlake, OH	23	1%	4:23:34	3:24:02
Below Cutoff	1229	77%	4:13:01	2:23:18
Total	1600	100%	4:12:57	2:22:00
Fastest City (by average)
Solon, OH	20	1%	3:52:22	2:50:45

Average/Best Times By State (cutoff=20)

State	Number	Percent	Mean Time	Best Time
IL	42	3%	4:07:56	3:03:17
MI	113	7%	4:14:31	2:48:26
NY	53	3%	4:03:13	2:58:15
OH	977	61%	4:15:29	2:22:00
PA	216	14%	4:05:48	2:23:18
VA	25	2%	4:05:21	2:38:58
other	20	1%	4:18:29	3:33:10
Below Cutoff	154	10%	4:10:55	2:53:50
Total	1600	100%	4:12:57	2:22:00
Fastest State (by average)
NY	53	3%	4:03:13	2:58:15

Half-Marathon

Total Runners by Times

under 1:30	1:30 to 2:00	2:00 to 2:30	over 2:30
26 (2%)	684 (42%)	643 (39%)	288 (18%)

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

Ages	under 1:30	1:30 to 2:00	2:00 to 2:30	over 2:30
preteens	0 (0%)	0 (0%)	0 (0%)	1 (100%)
teens	1 (6%)	10 (63%)	2 (13%)	3 (19%)
twenties	4 (4%)	64 (60%)	34 (32%)	5 (5%)
thirties	10 (4%)	153 (62%)	66 (27%)	19 (8%)
forties	8 (3%)	137 (59%)	71 (30%)	17 (7%)
fifties	1 (1%)	60 (46%)	48 (37%)	21 (16%)
sixties	0 (0%)	7 (28%)	13 (52%)	5 (20%)
seventies	0 (0%)	1 (20%)	1 (20%)	3 (60%)
eighties+	0 (0%)	0 (0%)	0 (0%)	1 (100%)
unknown	0 (0%)	3 (75%)	1 (25%)	0 (0%)
Total	24 (3%)	435 (56%)	236 (31%)	75 (10%)

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

Ages	under 1:30	1:30 to 2:00	2:00 to 2:30	over 2:30
preteens	0 (0%)	0 (0%)	1 (50%)	1 (50%)
teens	0 (0%)	4 (29%)	6 (43%)	4 (29%)
twenties	2 (1%)	84 (35%)	126 (53%)	27 (11%)
thirties	0 (0%)	101 (32%)	156 (50%)	57 (18%)
forties	0 (0%)	49 (24%)	86 (42%)	69 (34%)
fifties	0 (0%)	9 (11%)	32 (39%)	41 (50%)
sixties	0 (0%)	1 (9%)	0 (0%)	10 (91%)
eighties+	0 (0%)	0 (0%)	0 (0%)	1 (100%)
unknown	0 (0%)	1 (25%)	0 (0%)	3 (75%)
Total	2 (0%)	249 (29%)	407 (47%)	213 (24%)

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

Ages	Number	Percent	Mean Time	Best Time
preteens	3	0%	3:27:55	2:18:46
teens	30	2%	2:13:57	1:27:36
twenties	346	21%	2:05:38	1:21:18
thirties	562	34%	2:06:54	1:17:03
forties	437	27%	2:11:23	1:14:29
fifties	212	13%	2:18:26	1:29:45
sixties	36	2%	2:33:54	1:34:02
seventies	5	0%	2:53:50	1:44:42
eighties+	2	0%	3:16:58	3:12:25
unknown	8	0%	2:23:44	1:34:35
Total	1641	100%	2:10:30	1:14:29
Fastest Ages (by average)
twenties	346	21%	2:05:38	1:21:18

Average/Best Times By Male Age Groups

Ages	Number	Percent	Mean Time	Best Time
preteens	1	0%	4:02:30	4:02:30
teens	16	2%	1:58:50	1:27:36
twenties	107	14%	1:58:14	1:24:31
thirties	248	32%	1:57:42	1:17:03
forties	233	30%	1:58:10	1:14:29
fifties	130	17%	2:06:26	1:29:45
sixties	25	3%	2:15:00	1:34:02
seventies	5	1%	2:53:50	1:44:42
eighties+	1	0%	3:12:25	3:12:25
unknown	4	1%	1:49:03	1:34:35
Total	770	100%	2:00:33	1:14:29
Fastest Ages (by average)
thirties	248	32%	1:57:42	1:17:03

Average/Best Times By Female Age Groups

Ages	Number	Percent	Mean Time	Best Time
preteens	2	0%	3:10:38	2:18:46
teens	14	2%	2:31:15	1:46:32
twenties	239	27%	2:08:57	1:21:18
thirties	314	36%	2:14:10	1:37:29
forties	204	23%	2:26:29	1:35:18
fifties	82	9%	2:37:28	1:50:16
sixties	11	1%	3:16:51	1:51:14
eighties+	1	0%	3:21:32	3:21:32
unknown	4	0%	2:58:25	1:39:09
Total	871	100%	2:19:17	1:21:18
Fastest Ages (by average)
twenties	239	27%	2:08:57	1:21:18

Average/Best Times By Cities (cutoff=20)

City	Number	Percent	Mean Time	Best Time
Akron, OH	58	4%	2:02:59	1:25:43
Avon Lake, OH	21	1%	2:02:04	1:32:00
Cleveland Height, OH	25	2%	2:03:07	1:43:27
Cleveland, OH	106	6%	2:09:29	1:21:18
Columbus, OH	22	1%	2:08:39	1:38:07
Hudson, OH	24	1%	2:01:10	1:37:03
Lakewood, OH	52	3%	2:04:56	1:30:03
Medina, OH	41	2%	2:16:51	1:14:29
Mentor, OH	29	2%	2:13:50	1:40:34
Pittsburgh, PA	30	2%	2:07:47	1:31:57
Rocky River, OH	33	2%	2:03:15	1:31:53
Strongsville, OH	23	1%	2:01:36	1:24:31
Westlake, OH	25	2%	2:05:59	1:27:17
Below Cutoff	1152	70%	2:12:00	1:17:03
Total	1641	100%	2:10:30	1:14:29
Fastest City (by average)
Hudson, OH	24	1%	2:01:10	1:37:03

Average/Best Times By State (cutoff=20)

State	Number	Percent	Mean Time	Best Time
IL	21	1%	2:03:21	1:30:06
MI	77	5%	2:28:27	1:30:33
NY	34	2%	2:18:10	1:33:26
OH	1296	79%	2:09:48	1:14:29
PA	99	6%	2:06:49	1:26:55
Below Cutoff	114	7%	2:08:33	1:17:23
Total	1641	100%	2:10:30	1:14:29
Fastest State (by average)
IL	21	1%	2:03:21	1:30:06

The 10K

Total Runners by Times

under 40	40 to 50	50 to 60	over 60
76 (3%)	390 (16%)	976 (39%)	1061 (42%)

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

Ages	under 40	40 to 50	50 to 60	over 60
preteens	0 (0%)	2 (12%)	5 (29%)	10 (59%)
teens	1 (2%)	21 (50%)	12 (29%)	8 (19%)
twenties	19 (10%)	47 (25%)	72 (38%)	50 (27%)
thirties	15 (4%)	101 (27%)	170 (45%)	92 (24%)
forties	21 (5%)	103 (25%)	203 (48%)	92 (22%)
fifties	6 (2%)	44 (15%)	124 (44%)	111 (39%)
sixties	0 (0%)	6 (8%)	30 (41%)	37 (51%)
seventies	0 (0%)	0 (0%)	1 (7%)	13 (93%)
unknown	0 (0%)	2 (29%)	3 (43%)	2 (29%)
Total	62 (4%)	326 (23%)	620 (44%)	415 (29%)

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

Ages	under 40	40 to 50	50 to 60	over 60
preteens	0 (0%)	0 (0%)	1 (10%)	9 (90%)
teens	0 (0%)	5 (9%)	27 (48%)	24 (43%)
twenties	7 (2%)	11 (4%)	120 (41%)	155 (53%)
thirties	6 (2%)	25 (7%)	109 (29%)	230 (62%)
forties	1 (0%)	20 (9%)	77 (34%)	131 (57%)
fifties	0 (0%)	3 (3%)	19 (20%)	74 (77%)
sixties	0 (0%)	0 (0%)	3 (15%)	17 (85%)
seventies	0 (0%)	0 (0%)	0 (0%)	1 (100%)
unknown	0 (0%)	0 (0%)	0 (0%)	5 (100%)
Total	14 (1%)	64 (6%)	356 (33%)	646 (60%)

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

Ages	Number	Percent	Mean Time	Best Time
preteens	27	1%	1:06:23	47:27
teens	98	4%	57:47	36:20
twenties	481	19%	1:01:14	28:44
thirties	748	30%	1:00:55	32:38
forties	648	26%	59:35	32:09
fifties	381	15%	1:04:06	37:57
sixties	93	4%	1:07:35	41:37
seventies	15	1%	1:17:53	57:14
unknown	12	0%	1:06:50	48:42
Total	2503	100%	1:01:26	28:44
Fastest Ages (by average)
teens	98	4%	57:47	36:20

Average/Best Times By Male Age Groups

Ages	Number	Percent	Mean Time	Best Time
preteens	17	1%	1:03:07	47:27
teens	42	3%	52:29	36:20
twenties	188	13%	55:40	28:44
thirties	378	27%	54:58	32:38
forties	419	29%	54:49	32:09
fifties	285	20%	59:27	37:57
sixties	73	5%	1:03:46	41:37
seventies	14	1%	1:17:09	57:14
unknown	7	0%	55:52	48:42
Total	1423	100%	56:37	28:44
Fastest Ages (by average)
teens	42	3%	52:29	36:20

Average/Best Times By Female Age Groups

Ages	Number	Percent	Mean Time	Best Time
preteens	10	1%	1:11:57	58:26
teens	56	5%	1:01:45	44:44
twenties	293	27%	1:04:48	31:10
thirties	370	34%	1:06:59	32:44
forties	229	21%	1:08:18	34:53
fifties	96	9%	1:17:53	46:19
sixties	20	2%	1:21:28	54:40
seventies	1	0%	1:27:58	1:27:58
unknown	5	0%	1:22:11	1:06:10
Total	1080	100%	1:07:46	31:10
Fastest Ages (by average)
teens	56	5%	1:01:45	44:44

Average/Best Times By Cities (cutoff=50)

City	Number	Percent	Mean Time	Best Time
Akron, OH	57	2%	58:16	37:57
Cleveland, OH	323	13%	1:03:32	35:27
Lakewood, OH	110	4%	1:04:24	41:51
Medina, OH	58	2%	57:22	36:12
Mentor, OH	56	2%	58:57	33:58
Strongsville, OH	79	3%	1:00:37	34:53
Westlake, OH	88	4%	57:40	34:38
Below Cutoff	1732	69%	1:01:24	28:44
Total	2503	100%	1:01:26	28:44
Fastest City (by average)
Medina, OH	58	2%	57:22	36:12

Average/Best Times By State (cutoff=10)

State	Number	Percent	Mean Time	Best Time
MI	35	1%	1:06:00	42:03
OH	2315	92%	1:01:36	30:24
PA	62	2%	57:15	28:44
Below Cutoff	91	4%	58:20	29:58
Total	2503	100%	1:01:26	28:44
Fastest State (by average)
PA	62	2%	57:15	28:44

The above stats are based on 5/22/05 results from the Rite Aid Cleveland Marathon and 10K results page.