From: Public health application of predictive modeling: an example from farm vehicle crashes
 | Farm vehicle crashes N (%) | Injuries and deaths N (rate per 100 crashes) | Deaths N (rate per 100 crashes) |
---|---|---|---|
Total | 7084 | 2087 (29.5) | 163 (2.3) |
Calendar Year | |||
 2005 | 1166 (16.5) | 338 (29.0) | 21 (1.8) |
 2006 | 1114 (15.7) | 318 (28.5) | 29 (2.6) |
 2007 | 1198 (16.9) | 336 (28.0) | 26 (2.2) |
 2008 | 1160 (16.4) | 316 (27.2) | 22 (1.9) |
 2009 | 1196 (16.9) | 407 (34.0) | 37 (3.1) |
 2010 | 1250 (17.6) | 372 (29.8) | 28 (2.2) |
State | |||
 Iowa | 1178 (16.6) | 421 (35.7) | 35 (3.0) |
 Illinois | 1214 (17.1) | 421 (34.7) | 27 (2.2) |
 Kansas | 700 (9.9) | 186 (26.6) | 19 (2.7) |
 Minnesota | 850 (12.0) | 199 (23.4) | 22 (2.6) |
 Missouri | 1084 (15.3) | 207 (19.1) | 12 (1.1) |
 North Dakota | 253 (3.6) | 51 (20.2) | 12 (4.7) |
 Nebraska | 536 (7.6) | 189 (35.3) | 10 (1.9) |
 South Dakota | 232 (3.3) | 74 (31.9) | 8 (3.4) |
 Wisconsin | 1037 (14.6) | 339 (32.7) | 18 (1.7) |