Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,114 43 0 43 43 veh_no | 1,114 1.10772 .6946553 0 4 per_no | 1,114 1.443447 .9378423 1 10 n_mot_no | 1,114 .1606822 .3674025 0 1 age | 1,114 39.95601 23.82251 0 99 -------------+--------------------------------------------------------- sex | 1,114 1.529623 1.452922 1 9 per_typ | 1,114 1.921903 1.477658 1 8 seat_pos | 1,114 10.91203 6.738297 0 53 rest_use | 1,114 4.731598 17.54841 0 99 air_bag | 1,114 27.00808 17.2769 0 99 -------------+--------------------------------------------------------- ejection | 1,114 .3330341 1.617915 0 9 ej_path | 1,114 .3357271 1.621519 0 9 extricat | 1,114 .2989228 1.613471 0 9 location | 1,114 2.068223 4.809658 0 18 drinking | 1,114 6.022442 3.366827 0 8 -------------+--------------------------------------------------------- alc_det | 1,114 7.112208 3.214826 1 9 atst_typ | 1,114 .7989228 .7124605 0 2 alc_res | 1,114 40.51436 45.07759 0 97 drugs | 1,114 8 0 8 8 drug_det | 1,114 8 0 8 8 -------------+--------------------------------------------------------- drugtst1 | 1,114 .3779174 .4850846 0 1 drugres1 | 1,114 26.60772 112.9339 0 695 drugtst2 | 1,114 .0260323 .1593029 0 1 drugres2 | 1,114 9.121185 63.79371 0 695 drugtst3 | 1,114 .0008977 .0299611 0 1 -------------+--------------------------------------------------------- drugres3 | 1,114 .1588869 5.30311 0 177 inj_sev | 1,114 2.600539 1.556726 0 4 hospital | 1,114 .5278276 .4994492 0 1 death_mo | 1,114 2.770197 3.912471 0 12 death_da | 1,114 6.765709 9.511323 0 31 -------------+--------------------------------------------------------- death_hr | 1,114 5.345601 8.219033 0 99 death_mn | 1,114 8.830341 15.68997 0 99 lag_hrs | 1,114 571.0673 484.2855 0 999 lag_mins | 1,114 60.1167 45.06243 0 99 race | 1,114 .4443447 .497116 0 1 -------------+--------------------------------------------------------- hispanic | 1,114 .8886894 .994232 0 2 p_cf1 | 1,114 .0412926 .3496893 0 5 p_cf2 | 1,114 .1202873 1.629656 0 44 p_cf3 | 1,114 .1050269 1.752091 0 50 work_inj | 1,114 4.449731 3.972466 0 8 -------------+--------------------------------------------------------- doa | 1,114 1.790844 3.055678 0 7 st_case | 1,114 430235.2 136.7558 430001 430472 death_yr | 1,114 890.0296 995.7314 0 2004 death_tm | 1,114 543.3905 829.7614 0 9999 cert_no | 0 -------------+--------------------------------------------------------- make | 935 41.15615 21.66346 2 99 body_typ | 935 18.11658 28.26962 2 99 rollover | 935 .1358289 .4738897 0 2 tow_veh | 935 .3379679 1.709403 0 9 spec_use | 935 .1636364 1.20312 0 9 -------------+--------------------------------------------------------- emer_use | 935 0 0 0 0 impact1 | 935 8.760428 4.225995 0 12 impact2 | 935 9.019251 4.231985 0 13 impacts | 935 1.265241 .6175696 0 3 fire_exp | 935 .0053476 .0729705 0 1 -------------+--------------------------------------------------------- mak_mod | 935 41406.18 21767.64 2402 99999 mod_year | 935 2335.887 1620.913 1969 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 -------------+--------------------------------------------------------- whlbs_sh | 884 2266.989 3097.196 799 9999 whlbs_lg | 884 1476.414 3435.279 0 9999 mcycl_ds | 139 6742.849 4364.052 400 9999 vin_wgt | 749 4521.12 3270.257 1455 9999 wgtcd_tr | 225 5.008889 3.729696 1 9 -------------+--------------------------------------------------------- county | 1,114 72 0 72 72 month | 1,114 6.490126 3.609709 1 12 day | 1,114 15.63645 8.605968 1 31 hour | 1,114 12.60682 7.628727 0 24 minute | 1,114 23.88151 16.75929 0 56 -------------+--------------------------------------------------------- ve_forms | 1,114 1.524237 .6794676 1 4 road_fnc | 1,114 8.62298 5.465538 1 16 harm_ev | 1,114 14.63914 9.889095 1 43 man_coll | 1,114 1.5386 2.332404 0 8 sch_bus | 1,114 0 0 0 0 by Jean Roth , jroth@nber.org , 18 Apr 2016