Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,374 43 0 43 43 county | 1,374 72 0 72 72 month | 1,374 6.596798 3.517786 1 12 day | 1,374 15.40175 8.803356 1 31 hour | 1,374 12.7409 7.604085 0 23 -------------+--------------------------------------------------------- minute | 1,374 23.71325 16.37558 0 55 ve_forms | 1,374 1.578603 .6885871 1 4 road_fnc | 1,374 9.304949 5.032106 1 16 harm_ev | 1,374 14.47598 9.893265 1 43 man_coll | 1,374 1.27147 1.717003 0 6 -------------+--------------------------------------------------------- sch_bus | 1,374 0 0 0 0 veh_no | 1,374 1.129549 .7093899 0 4 make | 1,160 38.45603 21.7629 1 99 body_typ | 1,160 15.00776 25.89464 1 99 mod_year | 1,160 87.23448 6.668809 65 99 -------------+--------------------------------------------------------- rollover | 1,160 .1293103 .4649988 0 2 tow_veh | 1,160 .3336207 1.701111 0 9 spec_use | 1,160 .3336207 1.701111 0 9 emer_use | 1,160 0 0 0 0 impact1 | 1,160 8.957759 4.272525 0 13 -------------+--------------------------------------------------------- impact2 | 1,160 9.123276 4.190602 0 13 impacts | 1,160 1.222414 .5608889 0 3 fire_exp | 1,160 .0146552 .12022 0 1 wgtcd_tr | 292 5.15411 3.769139 1 9 per_no | 1,374 1.5 .9524377 1 9 -------------+--------------------------------------------------------- n_mot_no | 1,374 .1557496 .3627499 0 1 age | 1,374 39.05531 24.16407 0 99 sex | 1,374 1.516012 1.485827 1 9 per_typ | 1,374 1.923581 1.425748 1 8 seat_pos | 1,374 11.05167 6.305718 0 52 -------------+--------------------------------------------------------- location | 1,374 2.038574 4.803112 0 18 ejection | 1,374 .3406114 1.655861 0 9 extricat | 1,374 .3144105 1.653127 0 9 alc_det | 1,374 7.449054 2.994038 1 9 drinking | 1,374 6.371907 3.14275 0 8 -------------+--------------------------------------------------------- inj_sev | 1,374 2.606987 1.533261 0 4 hospital | 1,374 .5283843 .4993754 0 1 death_mo | 1,374 2.898836 4.045169 0 12 death_da | 1,374 6.882096 9.747687 0 31 death_yr | 1,374 41.14047 47.09098 0 96 -------------+--------------------------------------------------------- death_hr | 1,374 5.647016 9.685958 0 99 death_mn | 1,374 10.28894 16.98228 0 99 lag_hrs | 1,374 582.4949 483.5311 0 999 lag_mins | 1,374 60.86245 45.28583 0 99 p_cf1 | 1,374 .0494905 .4008682 0 4 -------------+--------------------------------------------------------- p_cf2 | 1,374 .0647744 .5630237 0 5 p_cf3 | 1,374 0 0 0 0 work_inj | 1,374 4.535662 3.965414 0 8 st_case | 1,374 430270.3 157.1528 430001 430548 mak_mod | 1,160 38745.79 21852.2 1399 99999 -------------+--------------------------------------------------------- vin_wgt | 944 4314.708 3338.996 137 9999 whlbs_sh | 1,074 2361.671 3199.297 799 9999 whlbs_lg | 1,074 1629.406 3530.859 0 9999 mcycl_ds | 161 8245.689 3677.439 49 9999 death_tm | 1,374 574.9905 979.2513 0 9999 -------------+--------------------------------------------------------- cert_no | 0 ser_tr | 0 vina_mod | 0 vin_bt | 0 rest_use | 1,374 4.36754 18.06042 0 99 -------------+--------------------------------------------------------- air_bag | 1,374 7.598253 3.264749 0 9 ej_path | 1,374 .3406114 1.655861 0 9 alc_res | 1,374 51.60408 45.61857 0 97 drugs | 1,374 8 0 8 8 drug_det | 1,374 8 0 8 8 -------------+--------------------------------------------------------- drugtst1 | 1,374 .2845706 .451374 0 1 drugres1 | 1,374 16.48472 82.18273 0 695 drugtst2 | 1,374 .0094614 .0968439 0 1 drugres2 | 1,374 3.929403 44.22335 0 695 drugtst3 | 1,374 .0021834 .0466929 0 1 -------------+--------------------------------------------------------- drugres3 | 1,374 .7707424 19.98737 0 695 by Jean Roth , jroth@nber.org , 18 Apr 2016