Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,110 43 0 43 43 veh_no | 1,110 1.07027 .6864126 0 3 per_no | 1,110 1.363063 .8050145 1 7 n_mot_no | 1,110 .1846847 .3882165 0 1 age | 1,110 39.82162 24.24162 0 99 -------------+--------------------------------------------------------- sex | 1,110 1.527027 1.588021 1 9 per_typ | 1,110 1.981081 1.559925 1 8 seat_pos | 1,110 10.45045 6.795 0 55 rest_use | 1,110 5.23964 18.90588 0 99 air_bag | 1,110 26.89009 18.61984 0 99 -------------+--------------------------------------------------------- ejection | 1,110 .3666667 1.739004 0 9 ej_path | 1,110 .3666667 1.739004 0 9 extricat | 1,110 .3486486 1.737527 0 9 location | 1,110 2.48018 5.255686 0 18 drinking | 1,110 6.131532 3.320401 0 8 -------------+--------------------------------------------------------- alc_det | 1,110 7.242342 3.124673 1 9 atst_typ | 1,110 .827027 .7008877 0 2 alc_res | 1,110 37.98739 44.44206 0 97 drugs | 1,110 8 0 8 8 drug_det | 1,110 8 0 8 8 -------------+--------------------------------------------------------- drugtst1 | 1,110 .4189189 .4936045 0 1 drugres1 | 1,110 22.27477 97.11106 0 695 drugtst2 | 1,110 .0144144 .1192453 0 1 drugres2 | 1,110 7.212613 65.02693 0 695 drugtst3 | 1,110 .0018018 .0424285 0 1 -------------+--------------------------------------------------------- drugres3 | 1,110 1.252252 29.4878 0 695 inj_sev | 1,110 2.565766 1.635026 0 4 hospital | 1,110 .4117117 .4923653 0 1 death_mo | 1,110 2.916216 3.96345 0 12 death_da | 1,110 7.198198 9.801474 0 31 -------------+--------------------------------------------------------- death_hr | 1,110 5.983784 9.999987 0 99 death_mn | 1,110 10.34144 17.14126 0 99 lag_hrs | 1,110 557.5018 485.374 0 999 lag_mins | 1,110 56.61892 47.0375 0 99 race | 1,110 .4666667 .4991125 0 1 -------------+--------------------------------------------------------- hispanic | 1,110 .9333333 .9982251 0 2 p_cf1 | 1,110 .0468468 .3769317 0 4 p_cf2 | 1,110 .1 1.283136 0 39 p_cf3 | 1,110 .0747748 1.65914 0 39 work_inj | 1,110 4.272072 3.98779 0 8 -------------+--------------------------------------------------------- doa | 1,110 2.345946 3.305753 0 7 st_case | 1,110 430246.9 144.0531 430001 430494 death_yr | 1,110 934.2703 999.2271 0 2003 death_tm | 1,110 608.7198 1010.657 0 9999 cert_no | 0 -------------+--------------------------------------------------------- make | 905 41.38564 23.00035 2 99 body_typ | 905 20.89282 30.18869 2 99 rollover | 905 .1082873 .4404692 0 2 tow_veh | 905 .4077348 1.872763 0 9 spec_use | 905 .2585635 1.504233 0 9 -------------+--------------------------------------------------------- emer_use | 905 0 0 0 0 impact1 | 905 9.58453 3.926282 0 14 impact2 | 905 9.864088 3.809089 0 14 impacts | 905 1.286188 .5807355 0 3 fire_exp | 905 .0110497 .1045931 0 1 -------------+--------------------------------------------------------- mak_mod | 905 41666.15 23120.71 2402 99999 mod_year | 905 2381.929 1722.885 1962 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 -------------+--------------------------------------------------------- whlbs_sh | 850 2378.459 3197.956 799 9999 whlbs_lg | 850 1625.436 3542.959 0 9999 mcycl_ds | 145 6842.752 4369.304 50 9999 vin_wgt | 707 4554.25 3262.128 1444 9999 wgtcd_tr | 238 5.306723 3.6829 1 9 -------------+--------------------------------------------------------- county | 1,110 72 0 72 72 month | 1,110 6.336036 3.577515 1 12 day | 1,110 15.83153 8.875326 1 31 hour | 1,110 12.70811 7.484365 0 23 minute | 1,110 25.04505 16.97884 0 58 -------------+--------------------------------------------------------- ve_forms | 1,110 1.487387 .6090121 1 3 road_fnc | 1,110 8.251351 5.397197 1 16 harm_ev | 1,110 14.63514 10.15867 1 43 man_coll | 1,110 1.342342 2.096394 0 9 sch_bus | 1,110 .0018018 .0424285 0 1 by Jean Roth , jroth@nber.org , 18 Apr 2016