Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,309 43 0 43 43 county | 1,309 72 0 72 72 month | 1,309 6.265088 3.467522 1 12 day | 1,309 15.37662 8.612865 1 31 hour | 1,309 13.97479 7.888179 0 99 -------------+--------------------------------------------------------- minute | 1,309 23.06646 16.79684 0 99 ve_forms | 1,309 1.556914 .7257865 1 5 road_fnc | 1,309 8.746371 5.465614 1 16 harm_ev | 1,309 14.20015 10.03578 1 43 man_coll | 1,309 1.257448 1.737392 0 6 -------------+--------------------------------------------------------- sch_bus | 1,309 .0030558 .0552156 0 1 veh_no | 1,309 1.111536 .7469181 0 5 make | 1,073 36.73346 21.56282 1 99 body_typ | 1,073 15.6356 27.09179 2 99 mod_year | 1,073 84.41473 6.600857 54 99 -------------+--------------------------------------------------------- rollover | 1,073 .1081081 .427003 0 2 tow_veh | 1,073 .3522833 1.746221 0 9 spec_use | 1,073 .3737185 1.769122 0 9 emer_use | 1,073 0 0 0 0 impact1 | 1,073 8.779124 4.292984 0 14 -------------+--------------------------------------------------------- impact2 | 1,073 8.860205 4.309724 0 14 impacts | 1,073 1.193849 .5888258 0 3 fire_exp | 1,073 0 0 0 0 wgtcd_tr | 395 5.782278 3.750897 1 9 per_no | 1,309 1.488923 .9590584 1 7 -------------+--------------------------------------------------------- n_mot_no | 1,309 .1802903 .384576 0 1 age | 1,309 38.74637 23.94393 0 99 sex | 1,309 1.503438 1.532331 1 9 per_typ | 1,309 2.009931 1.516694 1 8 seat_pos | 1,309 10.79679 6.939998 0 52 -------------+--------------------------------------------------------- location | 1,309 2.339954 5.140066 0 18 ejection | 1,309 .36822 1.711742 0 9 extricat | 1,309 .3368984 1.70904 0 9 alc_det | 1,309 7.331551 3.220266 1 9 drinking | 1,309 6.378915 3.124097 0 8 -------------+--------------------------------------------------------- inj_sev | 1,309 2.555386 1.57611 0 4 hospital | 1,309 .5042017 .5001734 0 1 death_mo | 1,309 2.733384 3.874952 0 12 death_da | 1,309 6.588235 9.373945 0 31 death_yr | 1,309 40.13216 45.64243 0 93 -------------+--------------------------------------------------------- death_hr | 1,309 5.975554 9.365873 0 99 death_mn | 1,309 10.08251 16.35966 0 99 lag_hrs | 571 28.83363 106.6863 0 999 lag_mins | 571 8.460595 16.53682 0 99 p_cf1 | 1,309 .2314744 1.770222 0 44 -------------+--------------------------------------------------------- p_cf2 | 1,309 .2016807 2.525218 0 68 p_cf3 | 1,309 .0076394 .1953661 0 5 work_inj | 1,309 4.516425 3.962641 0 8 st_case | 1,309 430263.5 148.8346 430001 430529 mak_mod | 1,073 37116.48 21653.84 1007 99999 -------------+--------------------------------------------------------- vin_wgt | 859 5458.582 3665.488 1576 9999 whlbs_sh | 859 3511.462 4042.678 799 9999 whlbs_lg | 859 2827.835 4472.07 0 9999 mcycl_ds | 232 9115.177 2738.122 249 9999 death_tm | 1,309 607.6379 946.4762 0 9999 -------------+--------------------------------------------------------- cert_no | 0 ser_tr | 0 vina_mod | 0 vin_bt | 0 rest_use | 1,309 1.245225 2.053989 0 9 -------------+--------------------------------------------------------- air_bag | 1,309 7.377387 3.461184 0 9 ej_path | 1,309 .3896104 1.754265 0 9 drugs | 1,309 8 0 8 8 drug_det | 1,309 8 0 8 8 drugtest | 1,309 .3063407 .4611492 0 1 -------------+--------------------------------------------------------- drug_res | 1,309 .6080978 1.626415 0 9 alc_res | 1,309 49.35752 45.26325 0 99 by Jean Roth , jroth@nber.org , 18 Apr 2016