Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 968 43 0 43 43 veh_no | 968 1.165289 .8246172 0 6 per_no | 968 1.295455 .6648977 1 6 n_mot_no | 968 .1632231 .3697602 0 1 age | 968 40.63843 24.02273 0 99 -------------+--------------------------------------------------------- sex | 968 1.465909 1.324682 1 9 per_typ | 968 1.869835 1.470706 1 8 seat_pos | 968 10.84607 7.566189 0 52 rest_use | 968 4.326446 16.42585 0 99 air_bag | 968 26.6157 16.58175 0 99 -------------+--------------------------------------------------------- ejection | 968 2.553719 3.747071 0 9 ej_path | 968 .2799587 1.512147 0 9 extricat | 968 .2603306 1.509157 0 9 location | 968 2.157025 4.981884 0 18 drinking | 968 5.670455 3.571094 0 8 -------------+--------------------------------------------------------- alc_det | 968 6.775826 3.413331 1 9 atst_typ | 968 .893595 .6637616 0 2 alc_res | 968 32.05269 42.73843 0 97 drugs | 968 7.991736 .2571297 0 8 drug_det | 968 8 0 8 8 -------------+--------------------------------------------------------- drugtst1 | 968 .2809917 .4497158 0 1 drugres1 | 968 19.52273 90.90793 0 695 drugtst2 | 968 .0030992 .0556126 0 1 drugres2 | 968 .5588843 10.03225 0 187 drugtst3 | 968 .0010331 .0321412 0 1 -------------+--------------------------------------------------------- drugres3 | 968 .0010331 .0321412 0 1 inj_sev | 968 2.595041 1.601853 0 4 hospital | 968 .4865702 .500078 0 1 death_mo | 968 3.039256 4.010136 0 12 death_da | 968 7.323347 9.827561 0 31 -------------+--------------------------------------------------------- death_hr | 968 5.214876 7.729749 0 24 death_mn | 968 11.07438 17.36203 0 58 lag_hrs | 968 544.3037 489.3184 0 999 lag_mins | 968 57.94628 45.40658 0 99 race | 968 .4958678 .5569746 0 3 -------------+--------------------------------------------------------- hispanic | 968 .9390496 1.016617 0 7 p_cf1 | 968 .0774793 .4952609 0 4 p_cf2 | 968 .1260331 1.390105 0 39 p_cf3 | 968 .0103306 .2271552 0 5 work_inj | 968 4.266529 3.99136 0 8 -------------+--------------------------------------------------------- doa | 968 1.966942 3.148011 0 7 st_case | 968 430218.7 122.9924 430001 430431 death_yr | 968 937.1529 1001.822 0 2007 death_tm | 968 532.562 781.3476 0 2400 cert_no | 0 -------------+--------------------------------------------------------- make | 810 44.67284 25.69783 2 99 body_typ | 810 23.05679 30.85092 2 99 rollover | 806 .1315136 .4833367 0 2 tow_veh | 810 .2666667 1.527013 0 9 spec_use | 810 .1888889 1.290883 0 9 -------------+--------------------------------------------------------- emer_use | 810 0 0 0 0 impact1 | 810 8.918519 4.116748 0 13 impact2 | 810 9.17284 4.117826 0 14 impacts | 810 1.344444 .6414793 0 3 fire_exp | 810 .0259259 .1590125 0 1 -------------+--------------------------------------------------------- mak_mod | 810 44964.31 25821.58 2001 99999 mod_year | 810 2373.811 1692.798 1972 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 -------------+--------------------------------------------------------- whlbs_sh | 762 2441.634 3274.992 0 9999 whlbs_lg | 762 1665.874 3627.529 0 9999 mcycl_ds | 168 7421.292 4092.483 125 9999 vin_wgt | 630 3940.552 3108.528 0 9999 wgtcd_tr | 252 5.396825 3.783123 1 9 -------------+--------------------------------------------------------- county | 968 72 0 72 72 month | 968 6.566116 3.389223 1 12 day | 968 15.17459 8.719073 1 31 hour | 968 11.58471 7.852377 0 24 minute | 968 25.93388 17.36004 0 58 -------------+--------------------------------------------------------- road_fnc | 968 8.633264 5.548583 1 16 harm_ev | 968 14.76963 10.07817 1 49 man_coll | 968 1.578512 2.2154 0 8 sch_bus | 968 0 0 0 0 ve_forms | 968 1.670455 .9689465 1 6 by Jean Roth , jroth@nber.org , 18 Apr 2016