| 1 | 128 | Layna MosleyChapel Hill, NC | Female age 30-49 | 44 | Ž |
21:43.0 | --100%37,86%33,21%09:00:36.9 |
| 2 | 101 | Lisa OnsumWoodinville, WA | Female age 30-49 | 32 | Ž |
25:30.8 | +3:47.8+17,48%85,12%27,00%21,53%09:00:36.9 |
| 3 | 125 | Anne Sutkowi-HemstreetNapa, CA | Female age 30-49 | 36 | Ž |
26:06.9 | +4:23.9+20,25%83,16%25,28%19,68%09:00:36.9 |
| 4 | 189 | Edee Kulper | Female age 30-49 | 42 | Ž |
27:24.4 | +5:41.4+26,20%79,24%21,58%15,71%09:00:36.9 |
| 5 | 148 | Sommer McKenzieEastsound, WA | Female age 30-49 | 37 | Ž |
30:21.4 | +8:38.4+39,79%71,54%13,14%6,63%09:00:36.9 |
| 6 | 169 | Kim Kelly | Female age 30-49 | 46 | Ž |
31:29.3 | +9:46.3+45,00%68,97%9,90%3,15%09:00:36.9 |
| 7 | 130 | Laura HohmanEastsound, WA | Female age 30-49 | 48 | Ž |
32:23.9 | +10:40.9+49,19%67,03%7,30%0,35%09:00:36.9 |
| 8 | 113 | Christina TennicanColorado Springs | Female age 30-49 | 47 | Ž |
32:37.7 | +10:54.7+50,25%66,56%6,64%-0,35%09:00:36.9 |
| 9 | 177 | Michelle Ostrom | Female age 30-49 | 45 | Ž |
34:09.0 | +12:26.0+57,25%63,59%2,29%-5,03%09:00:36.9 |
| 10 | 176 | Flannary Collins | Female age 30-49 | 40 | Ž |
36:39.7 | +14:56.7+68,82%59,24%-4,90%-12,76%09:00:36.9 |
| 11 | 165 | Sara Farish | Female age 30-49 | 38 | Ž |
40:58.4 | +19:15.4+88,67%53,00%-17,23%-26,02%09:00:36.9 |
| 12 | 127 | Lynne DoSan Diego, CA | Female age 30-49 | 39 | Ž |
42:43.9 | +21:00.9+96,77%50,82%-22,27%-31,43%09:00:36.9 |
| 13 | 181 | Laura Laforte | Female age 30-49 | 46 | Ž |
50:18.0 | +28:35.0+131,62%43,17%-43,92%-54,71%09:00:36.9 |
| 14 | 143 | Elizabeth GuerryEastsound, WA | Female age 30-49 | 32 | Ž |
56:51.5 | +35:08.5+161,82%38,19%-62,69%-74,88%09:00:36.9 |