Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,121 43 0 43 43 veh_no | 1,121 1.105263 .7544978 0 6 per_no | 1,121 1.456735 1.026502 1 11 n_mot_no | 1,121 .1775201 .3822788 0 1 age | 1,121 39.70116 23.56793 0 99 -------------+--------------------------------------------------------- sex | 1,121 1.495986 1.414287 1 9 per_typ | 1,121 1.983943 1.524125 1 8 seat_pos | 1,121 10.79393 7.039392 0 52 rest_use | 1,121 4.548617 17.29073 0 99 air_bag | 1,121 26.53167 17.42405 0 99 -------------+--------------------------------------------------------- ejection | 1,121 .3122212 1.590351 0 9 ej_path | 1,121 .3122212 1.590351 0 9 extricat | 1,121 .2890277 1.587438 0 9 location | 1,121 2.378234 5.184595 0 18 drinking | 1,121 6.240856 3.234713 0 8 -------------+--------------------------------------------------------- alc_det | 1,121 7.332739 3.06578 1 9 atst_typ | 1,121 .7430865 .7245743 0 2 alc_res | 1,121 45.70116 45.43289 0 97 drugs | 1,121 8 0 8 8 drug_det | 1,121 8 0 8 8 -------------+--------------------------------------------------------- drugtst1 | 1,121 .3505798 .4773645 0 1 drugres1 | 1,121 14.53078 76.1055 0 695 drugtst2 | 1,121 .0035682 .0596547 0 1 drugres2 | 1,121 .6404996 10.71115 0 187 drugtst3 | 1,121 .0008921 .0298674 0 1 -------------+--------------------------------------------------------- drugres3 | 1,121 .1141838 3.823025 0 128 inj_sev | 1,121 2.551293 1.587704 0 4 hospital | 1,121 .4754683 .4996207 0 1 death_mo | 1,121 2.960749 4.044647 0 12 death_da | 1,121 6.933095 9.697845 0 31 -------------+--------------------------------------------------------- death_hr | 1,121 6.152542 11.80197 0 99 death_mn | 1,121 10.08564 18.17125 0 99 lag_hrs | 1,121 594.7484 482.3913 0 999 lag_mins | 1,121 61.75825 45.49884 0 99 race | 1,121 .44157 .4967958 0 1 -------------+--------------------------------------------------------- hispanic | 1,121 .8831401 .9935917 0 2 p_cf1 | 1,121 .0909902 .9565185 0 28 p_cf2 | 1,121 .1730598 2.024058 0 51 p_cf3 | 1,121 .0793934 1.582249 0 35 work_inj | 1,121 4.471008 3.970798 0 8 -------------+--------------------------------------------------------- doa | 1,121 2.035682 3.180377 0 7 st_case | 1,121 430232.9 136.2859 430001 430470 death_yr | 1,121 883.5816 994.0885 0 2001 death_tm | 1,121 625.3399 1191.717 0 9999 cert_no | 0 -------------+--------------------------------------------------------- make | 922 40.67787 21.89644 2 99 body_typ | 922 17.69414 28.01209 2 99 rollover | 922 .1084599 .4310858 0 2 tow_veh | 922 .3416486 1.72085 0 9 spec_use | 922 .3318872 1.697044 0 9 -------------+--------------------------------------------------------- emer_use | 922 .0043384 .0657591 0 1 impact1 | 922 8.493492 4.410094 0 13 impact2 | 922 8.882863 4.332709 0 13 impacts | 922 1.22885 .5559984 0 3 fire_exp | 922 .0021692 .0465494 0 1 -------------+--------------------------------------------------------- mak_mod | 922 40922.58 22000.15 2402 99999 mod_year | 922 2374.21 1707.835 1967 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 -------------+--------------------------------------------------------- whlbs_sh | 875 2272.243 3098.934 799 9999 whlbs_lg | 875 1514.154 3433.743 0 9999 mcycl_ds | 130 7184.808 4241.553 79 9999 vin_wgt | 763 4439.858 3151.524 1444 9999 wgtcd_tr | 203 5.463054 3.732698 1 9 -------------+--------------------------------------------------------- county | 1,121 72 0 72 72 month | 1,121 6.576271 3.42675 1 12 day | 1,121 15.77342 9.01707 1 31 hour | 1,121 13.27832 7.530721 0 24 minute | 1,121 24.9322 17.72218 0 58 -------------+--------------------------------------------------------- ve_forms | 1,121 1.578947 .7810611 1 6 road_fnc | 1,121 9.534344 5.104701 1 16 harm_ev | 1,121 14.72881 10.06938 1 43 man_coll | 1,121 1.287244 1.76005 0 6 sch_bus | 1,121 0 0 0 0 by Jean Roth , jroth@nber.org , 18 Apr 2016