Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 99,369 26.99034 16.1885 1 56 county | 99,369 85.76217 91.40406 0 999 month | 99,369 6.783041 3.282617 1 12 day | 99,369 15.58599 8.962949 1 99 hour | 99,369 13.38021 8.932451 0 99 -------------+--------------------------------------------------------- minute | 99,369 27.69817 18.07342 0 99 ve_forms | 99,369 1.766064 1.282409 1 30 road_fnc | 99,369 7.966156 6.141342 1 99 harm_ev | 99,369 14.90031 10.55473 1 99 man_coll | 99,369 1.540209 1.753502 0 9 -------------+--------------------------------------------------------- sch_bus | 99,369 .007286 .0850468 0 1 veh_no | 99,369 1.305005 .9119182 0 30 make | 91,707 27.38133 21.75555 1 99 body_typ | 91,707 18.11902 23.14082 1 99 mod_year | 91,707 84.00905 5.924306 26 99 -------------+--------------------------------------------------------- rollover | 91,707 .3297894 .6858837 0 2 tow_veh | 91,707 .0956961 .6740351 0 9 spec_use | 91,707 .0651532 .6748882 0 9 emer_use | 91,707 .0022463 .047342 0 1 impact1 | 91,707 10.2811 13.25004 0 99 -------------+--------------------------------------------------------- impact2 | 91,707 10.3787 13.4062 0 99 impacts | 91,707 1.174687 .6506182 0 9 fire_exp | 91,707 .0286129 .1667167 0 1 wgtcd_tr | 30,121 3.768534 3.387875 1 9 per_no | 99,369 1.755648 1.875594 1 57 -------------+--------------------------------------------------------- n_mot_no | 99,369 .0819068 .6142706 0 99 age | 99,369 35.46756 22.0168 0 99 sex | 99,369 1.466584 1.125718 1 9 per_typ | 99,369 1.704204 1.148811 1 9 seat_pos | 99,369 14.54584 14.03332 0 99 -------------+--------------------------------------------------------- location | 99,369 .8698588 3.597989 0 99 ejection | 99,369 .1960873 .7730454 0 9 extricat | 99,369 .1728104 1.034606 0 9 alc_det | 99,369 8.025873 2.446416 1 9 drinking | 99,369 4.502591 3.950968 0 9 -------------+--------------------------------------------------------- inj_sev | 99,369 2.597259 1.654455 0 9 hospital | 99,369 .8028963 1.436628 0 9 death_mo | 99,369 2.859483 4.427214 0 99 death_da | 99,369 6.564341 9.840894 0 99 death_yr | 99,369 38.01675 44.8826 0 99 -------------+--------------------------------------------------------- death_hr | 99,369 7.590647 17.27877 0 99 death_mn | 99,369 13.16854 22.38323 0 99 lag_hrs | 41,508 92.20579 263.4892 0 999 lag_mins | 41,508 24.19346 27.81305 0 99 p_cf1 | 99,369 .5098371 4.912208 0 99 -------------+--------------------------------------------------------- p_cf2 | 99,369 .2640763 4.263496 0 99 p_cf3 | 99,369 .1788385 3.984723 0 99 work_inj | 99,369 5.114281 3.890548 0 9 st_case | 99,369 270690.5 161683.2 10001 560107 mak_mod | 91,707 27658.38 21902.61 1001 99999 -------------+--------------------------------------------------------- vin_wgt | 64,377 3853.431 2524.535 1444 9999 whlbs_sh | 64,398 1896.756 2629.737 800 9999 whlbs_lg | 64,398 1011.713 2926.818 0 9999 mcycl_ds | 9,079 6847.864 4376.618 49 9999 death_tm | 99,369 772.2332 1745.579 0 9999 -------------+--------------------------------------------------------- cert_no | 0 ser_tr | 0 vina_mod | 0 vin_bt | 0 rest_use | 99,369 2.396774 3.247003 0 9 -------------+--------------------------------------------------------- air_bag | 99,369 8.279695 2.425621 0 9 ej_path | 99,369 .9949079 2.752036 0 9 drugs | 99,369 6.897866 2.82299 0 9 drug_det | 99,369 7.894273 .8403663 1 8 drugtest | 99,369 2.257616 3.732305 0 9 -------------+--------------------------------------------------------- drug_res | 99,369 23.73513 41.99314 0 99 alc_res | 99,369 64.85747 42.82083 0 99 by Jean Roth , jroth@nber.org , 18 Apr 2016