Philadelphia Marathon Stats

Last Sunday (November 20, 2005) the Philadelphia Marathon was held. There's an interesting story about the female winner, Emily Kroshus, at philly.com. This Philadelphia resident had run two previous marathons (one of them was last year's New York City Marathon). In both of those races she had to bow out early. Everything came together Sunday, and Kroshus won the women's race with a time of 2:43:07. In the men's race, Joseph Nderitu of Kenya won with a time of 2:21:02.

The Stats

There was a total of 5887 marathon finishers with 3824 (65%) males and 2063 females. This is down from 2004 when 6193 runners finished (5% decrease). In 2004, the Philadelphia Marathon was the 12th largest marathon in the US based on the number of finishers (based on runningusa.org).

Prize money was awarded to the top 5 men and women ($3500, $2000, $1000, $750 and $500). The top male and female master received $1000 and the top Philadelphian (both male and female) received $500. The early registration fee was $60.

The Philadelphia Marathon is similar in size to the Grandma's Marathon in Duluth Minneosota. Grandma's Marathon was the 11th largest. When comparing the stats between the two marathons, it's interesting to note how much faster the Philadelphia Marathon runners were. The average male finish time of the Philadelphia Marathon was 4:01:34. This is over 18 minutes faster than the average male finish time of the June's Grandma's Marathon. The Philadelphia Marathon women were also faster: 4:19:03 vs. 4:33:09.

The walkers can be removed from difference by looking at the number of sub-4 runners. In Philadelphia there were 2148 males (55%) and 714 females (35%) who finished in under 4 hours. In the Grandma's Marathon there were 1950 males (43%) and 590 (24%) females who finished in under 4 hours. Philadelphia is still much faster.

Below are the detailed 2005 Philadelphia Marathon stats based on the results at the MarathonGuide.com. Note that a few runners were excluded from the stats due to incomplete fields. All times are based on chip times.

Total Male Runners by Times

under 3:00	3:00 to 3:30	3:30 to 4:00	over 4:00
165 (4%)	787 (20%)	1196 (31%)	1745 (45%)

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 3:30	3:30 to 4:00	over 4:00
13-19	0 (0%)	11 (19%)	19 (33%)	28 (48%)
20-29	59 (8%)	191 (25%)	222 (29%)	301 (39%)
30-39	70 (6%)	271 (22%)	383 (31%)	503 (41%)
40-49	35 (3%)	258 (22%)	372 (32%)	489 (42%)
50-59	1 (0%)	54 (10%)	183 (33%)	323 (58%)
60-69	0 (0%)	2 (2%)	15 (14%)	93 (85%)
70-79	0 (0%)	0 (0%)	2 (20%)	8 (80%)
Total	165 (4%)	787 (20%)	1196 (31%)	1745 (45%)

Average/Best Times By Male Age Groups

Ages	Number	Percent	Mean Time	Best Time
13-19	58	1%	4:12:53	3:00:27
20-29	773	20%	3:55:38	2:22:52
30-39	1227	32%	3:57:12	2:21:02
40-49	1154	30%	3:59:09	2:31:05
50-59	561	14%	4:14:15	2:59:15
60-69	110	3%	4:41:57	3:11:29
70-79	10	0%	4:56:10	3:46:32
Total	3893	100%	4:01:34	2:21:02
Fastest Ages (by average)
20-29	773	20%	3:55:38	2:22:52

Average/Best Male Times By State (cutoff=10)

State	Number	Percent	Mean Time	Best Time
California	28	1%	4:15:54	3:09:02
Connecticut	86	2%	3:53:09	2:34:01
DC	48	1%	3:51:09	2:48:50
Delaware	115	3%	4:01:21	2:50:33
Florida	28	1%	4:31:38	3:33:10
Georgia	27	1%	4:27:34	3:22:07
Illinois	40	1%	3:59:01	2:57:37
Indiana	21	1%	4:04:37	2:37:10
Maine	11	0%	3:34:56	2:33:26
Maryland	166	4%	3:58:52	2:38:58
Massachusetts	181	5%	3:42:54	2:33:06
Michigan	20	1%	3:45:03	2:22:52
Minnesota	13	0%	3:57:10	2:49:04
New Hampshire	33	1%	3:44:53	2:36:47
New Jersey	784	20%	4:10:36	2:32:37
New York	541	14%	3:56:52	2:29:13
North Carolina	51	1%	4:08:20	2:51:35
Ohio	39	1%	3:57:34	2:51:21
Pennsylvania	1255	32%	4:04:41	2:27:48
Rhode Island	18	0%	3:46:51	2:58:10
Texas	32	1%	4:01:38	2:52:31
Unknown	68	2%	3:49:36	2:40:38
Vermont	14	0%	3:48:15	3:00:19
Virginia	101	3%	3:56:33	2:33:12
outside US	103	3%	3:42:00	2:21:02
Below Cutoff	70	2%	3:55:26	2:36:32
Total	3893	100%	4:01:34	2:21:02
Fastest State (by average)
Maine	11	0%	3:34:56	2:33:26

Total Female Runners by Times

under 3:00	3:00 to 4:00	4:00 to 5:00	over 5:00
17 (1%)	697 (34%)	1065 (52%)	280 (14%)

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
13-19	0 (0%)	9 (39%)	8 (35%)	6 (26%)
20-29	7 (1%)	282 (37%)	386 (51%)	79 (10%)
30-39	4 (1%)	215 (32%)	350 (53%)	96 (14%)
40-49	6 (1%)	165 (35%)	234 (50%)	64 (14%)
50-59	0 (0%)	26 (18%)	83 (58%)	34 (24%)
60-69	0 (0%)	0 (0%)	3 (75%)	1 (25%)
unknown	0 (0%)	0 (0%)	1 (100%)	0 (0%)
Total	17 (1%)	697 (34%)	1065 (52%)	280 (14%)

Average/Best Times By Female Age Groups

Ages	Number	Percent	Mean Time	Best Time
13-19	23	1%	4:27:55	3:39:19
20-29	754	37%	4:15:08	2:43:07
30-39	665	32%	4:20:21	2:45:55
40-49	469	23%	4:17:33	2:51:06
50-59	143	7%	4:35:57	3:12:58
60-69	4	0%	5:00:53	4:26:36
unknown	1	0%	4:18:34	4:18:34
Total	2059	100%	4:19:03	2:43:07
Fastest Ages (by average)
20-29	754	37%	4:15:08	2:43:07

Average/Best Female Times By State (cutoff=10)

State	Number	Percent	Mean Time	Best Time
California	18	1%	4:44:01	3:49:33
Connecticut	50	2%	4:22:10	3:07:05
DC	36	2%	4:01:29	2:50:01
Delaware	37	2%	4:26:21	3:23:30
Florida	22	1%	4:44:46	3:34:23
Illinois	20	1%	4:00:55	3:11:27
Maine	14	1%	4:01:14	2:59:25
Maryland	96	5%	4:21:21	2:54:27
Massachusetts	131	6%	4:11:56	2:56:21
Michigan	14	1%	4:09:40	3:22:53
New Hampshire	12	1%	4:02:06	3:11:50
New Jersey	355	17%	4:22:13	3:07:01
New York	269	13%	4:17:53	2:50:22
North Carolina	32	2%	4:25:05	3:18:27
Ohio	16	1%	4:18:02	3:28:39
Pennsylvania	676	33%	4:21:40	2:43:07
Texas	10	0%	3:49:05	2:57:09
Unknown	23	1%	4:13:09	2:55:53
Virginia	58	3%	4:04:31	2:51:06
outside US	71	3%	4:11:39	2:56:56
Below Cutoff	99	5%	4:18:04	2:59:39
Total	2059	100%	4:19:03	2:43:07
Fastest State (by average)
Texas	10	0%	3:49:05	2:57:09

2005 New York City Marathon Stats

I'm glad to see some excitement yesterday at the New York city Marathon. Here's a quote from the Runner's World summary of the race:

Tergat, the world-record holder in the marathon, outleaned Hendrick Ramaala at the finish line in the closest, most dramatic finish ever in a major marathon competition.

Paul Tergat finished with a time of 2:09:30. I also found some interesting facts about Tergat from SI.com:

The 36-year-old Tergat, one of 17 children, is the ninth straight African man to win in New York. Until Sunday, his only win in a major marathon was at the 2003 Berlin Marathon, where he set the marathon world record of 2:04:55.

The women's winner was Jelena Prokopcuka from Latvia who won the womens' race with a time of 2:24:41. This is her first major marathon win. She was fifth last year in the New York Marathon.

Tergat earned $125K in winnings and Prokopcuka earned a marathon-record of $160K.

The Stats

There were a total of 36872 finishers. 24812 (67%) were males, 12060 were females. Since there were so many runners, I've limited my stats to the top 2000 men and top 2000 women. Instead of pulling the race results from New York City Marathon website, I used the results at the Marathon Guide since the results are in an easier format for me.

For both the men and the women, the 20s age group was the fastest. However, most of the top 2000 runners for both genders were from the 30s age group.

I was surprised to see the number of marathon runners from outside the US. For the top 2000 men, 57% were from outside the US. The non-US nation with the most runners was Italy with 14%.

There weren't quite as many non-US women marathon runners. Out of the top 2000 women finishers, 33% were from outside the US. Like the men, Italy had the most with 5%.

Below are the detailed stats based on the results of the 2005 New York City Marathon results from the Marathon Guide.

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

Ages	under 2:30	2:30 to 2:45	2:45 to 3:00	over 3:00
13-19	0 (0%)	0 (0%)	1 (20%)	4 (80%)
20-29	14 (4%)	28 (9%)	69 (21%)	211 (66%)
30-39	21 (3%)	51 (6%)	188 (24%)	527 (67%)
40-49	4 (1%)	27 (4%)	117 (17%)	538 (78%)
50-59	0 (0%)	0 (0%)	23 (12%)	168 (88%)
60-69	0 (0%)	0 (0%)	1 (11%)	8 (89%)
Total	39 (2%)	106 (5%)	399 (20%)	1456 (73%)

Average/Best Times By Male Age Groups

Ages	Number	Percent	Mean Time	Best Time
13-19	5	0%	3:11:08	2:57:42
20-29	322	16%	3:03:50	2:11:01
30-39	787	39%	3:05:30	2:09:30
40-49	686	34%	3:09:47	2:24:55
50-59	191	10%	3:13:10	2:45:27
60-69	9	0%	3:17:07	2:56:45
Total	2000	100%	3:07:30	2:09:30
Fastest Ages (by average)
20-29	322	16%	3:03:50	2:11:01

Average/Best Male Times By State (cutoff=10)

State	Number	Percent	Mean Time	Best Time
CA	55	3%	3:05:08	2:09:56
CO	20	1%	3:02:02	2:25:32
CT	24	1%	3:06:10	2:42:41
GA	12	1%	3:09:42	2:39:27
IL	24	1%	3:09:49	2:40:18
MA	44	2%	3:07:23	2:39:35
MD	14	1%	3:08:16	2:50:17
MI	13	1%	3:05:09	2:17:14
NJ	77	4%	3:09:49	2:14:28
NY	400	20%	3:06:40	2:18:58
OH	11	1%	3:05:04	2:45:27
PA	34	2%	3:08:58	2:50:49
VA	15	1%	3:10:11	2:47:39
WA	13	1%	3:09:13	2:33:25
outside US	1141	57%	3:07:47	2:09:30
Below Cutoff	103	5%	3:07:03	2:11:24
Total	2000	100%	3:07:30	2:09:30
Fastest State (by average)
CO	20	1%	3:02:02	2:25:32

Average/Best Male Times By Country (cutoff=10)

Country	Number	Percent	Mean Time	Best Time
AUS	11	1%	3:03:18	2:24:25
AUT	21	1%	3:11:30	2:52:46
BEL	13	1%	3:08:35	2:49:02
CAN	47	2%	3:07:22	2:34:49
DEN	19	1%	3:07:26	2:26:58
ESP	51	3%	3:05:41	2:20:40
FRA	198	10%	3:08:43	2:29:42
GBR	109	5%	3:09:17	2:13:29
GER	117	6%	3:09:53	2:33:57
IRL	16	1%	3:09:38	2:33:13
ITA	288	14%	3:07:35	2:11:33
JPN	19	1%	3:07:46	2:20:59
MEX	18	1%	3:07:19	2:37:18
NED	43	2%	3:14:22	2:38:37
NOR	24	1%	3:04:47	2:46:08
SUI	37	2%	3:05:09	2:11:44
SWE	20	1%	2:59:40	2:26:56
USA	851	43%	3:07:08	2:09:56
Below Cutoff	98	5%	3:03:20	2:09:30
Total	2000	100%	3:07:30	2:09:30
Fastest Country (by average)
SWE	20	1%	2:59:40	2:26:56

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 3:20	3:20 to 3:40	over 3:40
13-19	0 (0%)	0 (0%)	1 (25%)	3 (75%)
20-29	16 (3%)	41 (8%)	142 (27%)	329 (62%)
30-39	17 (2%)	56 (7%)	198 (24%)	565 (68%)
40-49	6 (1%)	32 (6%)	93 (18%)	393 (75%)
50-59	0 (0%)	6 (6%)	21 (22%)	70 (72%)
60-69	0 (0%)	0 (0%)	0 (0%)	4 (100%)
70-79	0 (0%)	0 (0%)	0 (0%)	2 (100%)
Total	39 (2%)	135 (7%)	455 (23%)	1366 (68%)

Average/Best Times By Female Age Groups

Ages	Number	Percent	Mean Time	Best Time
13-19	4	0%	3:45:08	3:30:07
20-29	528	26%	3:43:17	2:24:41
30-39	836	42%	3:44:34	2:24:55
40-49	524	26%	3:47:14	2:40:10
50-59	97	5%	3:46:58	3:08:42
60-69	4	0%	3:55:28	3:44:48
70-79	2	0%	3:49:00	3:46:18
Total	1995	100%	3:45:04	2:24:41
Fastest Ages (by average)
20-29	528	26%	3:43:17	2:24:41

Average/Best Female Times By State (cutoff=10)

State	Number	Percent	Mean Time	Best Time
AZ	10	1%	3:42:48	2:49:32
CA	99	5%	3:46:44	2:37:07
CO	38	2%	3:39:29	2:41:43
CT	46	2%	3:41:57	2:33:59
DC	18	1%	3:41:59	3:13:02
FL	41	2%	3:47:11	3:13:39
GA	24	1%	3:44:59	3:08:30
IL	32	2%	3:45:51	3:09:44
MA	74	4%	3:47:14	3:05:52
MD	16	1%	3:43:06	2:54:53
MI	14	1%	3:44:23	3:13:22
MN	14	1%	3:39:55	3:03:10
NC	26	1%	3:46:05	3:17:59
NJ	111	6%	3:45:15	2:56:06
NY	545	27%	3:46:07	2:40:10
OH	15	1%	3:45:01	3:20:50
OR	12	1%	3:42:57	3:19:58
PA	34	2%	3:45:28	2:52:17
TX	35	2%	3:47:54	3:24:46
VA	16	1%	3:48:19	3:17:35
WA	19	1%	3:43:45	3:05:16
outside US	648	32%	3:44:34	2:24:41
Below Cutoff	108	5%	3:42:28	2:49:06
Total	1995	100%	3:45:04	2:24:41
Fastest State (by average)
CO	38	2%	3:39:29	2:41:43

Average/Best Female Times By Country (cutoff=10)

Country	Number	Percent	Mean Time	Best Time
AUS	11	1%	3:46:48	3:14:39
AUT	12	1%	3:47:51	3:13:57
CAN	48	2%	3:47:03	3:06:40
CHI	10	1%	3:42:21	3:09:16
FRA	74	4%	3:45:45	2:45:58
GBR	89	4%	3:46:23	2:46:47
GER	56	3%	3:49:06	3:13:44
IRL	11	1%	3:47:53	3:18:12
ITA	91	5%	3:43:58	2:27:15
JPN	24	1%	3:44:29	2:43:55
MEX	27	1%	3:49:02	2:33:19
NED	61	3%	3:48:32	2:28:28
NOR	12	1%	3:40:20	3:07:52
SUI	18	1%	3:47:22	3:09:21
SWE	15	1%	3:43:52	2:59:43
USA	1341	67%	3:45:22	2:33:59
Below Cutoff	95	5%	3:33:26	2:24:41
Total	1995	100%	3:45:04	2:24:41
Fastest Country (by average)
NOR	12	1%	3:40:20	3:07:52