Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 95,691 27.05945 16.14168 1 56 county | 95,691 86.89418 93.42539 0 997 month | 95,691 6.782508 3.341855 1 12 day | 95,691 15.71326 8.860335 1 99 hour | 95,691 13.51954 8.663157 0 99 -------------+--------------------------------------------------------- minute | 95,691 27.65775 17.9276 0 99 ve_forms | 95,691 1.76491 1.185878 1 38 road_fnc | 95,691 8.359219 8.518162 1 99 harm_ev | 95,691 14.83606 10.41133 1 99 man_coll | 95,691 1.586063 1.783208 0 9 -------------+--------------------------------------------------------- sch_bus | 95,691 .0073466 .0853971 0 1 veh_no | 95,691 1.30356 .8621351 0 38 make | 88,367 27.06213 21.49675 1 99 body_typ | 88,367 17.65895 22.2326 1 99 mod_year | 88,367 84.74563 5.937343 26 99 -------------+--------------------------------------------------------- rollover | 88,367 .3292179 .6869372 0 2 tow_veh | 88,367 .0876119 .6160064 0 9 spec_use | 88,367 .0587323 .6260241 0 9 emer_use | 88,367 .002218 .0470439 0 1 impact1 | 88,367 10.21458 12.80569 0 99 -------------+--------------------------------------------------------- impact2 | 88,367 10.37562 13.14246 0 99 impacts | 88,367 1.184356 .6509657 0 9 fire_exp | 88,367 .0274197 .163304 0 1 wgtcd_tr | 29,366 3.808554 3.402004 1 9 per_no | 95,691 1.830026 2.336649 1 79 -------------+--------------------------------------------------------- n_mot_no | 95,691 .0790983 .4229084 0 99 age | 95,691 35.74358 22.07545 0 99 sex | 95,691 1.468518 1.108192 1 9 per_typ | 95,691 1.701362 1.124067 1 9 seat_pos | 95,691 14.56039 13.66769 0 99 -------------+--------------------------------------------------------- location | 95,691 .8663929 3.592623 0 99 ejection | 95,691 .1859736 .747619 0 9 extricat | 95,691 .1816367 1.042558 0 9 alc_det | 95,691 8.067854 2.387352 1 9 drinking | 95,691 4.466522 3.96135 0 9 -------------+--------------------------------------------------------- inj_sev | 95,691 2.584391 1.642278 0 9 hospital | 95,691 .8160642 1.447718 0 9 death_mo | 95,691 2.787106 4.15954 0 99 death_da | 95,691 6.43908 9.677713 0 99 death_yr | 95,691 37.73744 45.25353 0 99 -------------+--------------------------------------------------------- death_hr | 95,691 7.403256 16.80732 0 99 death_mn | 95,691 12.97909 22.1109 0 99 lag_hrs | 39,250 87.85238 257.0583 0 999 lag_mins | 39,250 24.04869 27.54171 0 99 p_cf1 | 95,691 .4635441 4.525865 0 99 -------------+--------------------------------------------------------- p_cf2 | 95,691 .2358007 3.897468 0 99 p_cf3 | 95,691 .1455205 3.543378 0 99 work_inj | 95,691 5.0536 3.891259 0 9 st_case | 95,691 271323.3 161263.7 10001 560099 mak_mod | 88,367 27337.83 21639.42 1001 99999 -------------+--------------------------------------------------------- vin_wgt | 62,253 4031.149 2682.649 1444 9999 whlbs_sh | 62,275 1948.386 2695.927 110 9999 whlbs_lg | 62,275 1061.641 3001.238 0 9999 mcycl_ds | 8,671 7209.324 4238.322 49 9999 death_tm | 95,691 753.3047 1698.129 0 9999 -------------+--------------------------------------------------------- cert_no | 0 ser_tr | 0 vina_mod | 0 vin_bt | 0 rest_use | 95,691 2.401835 3.157738 0 9 -------------+--------------------------------------------------------- air_bag | 95,691 8.269304 2.431355 0 9 ej_path | 95,691 .9435684 2.683241 0 9 drugs | 95,691 6.796637 2.921784 0 9 drug_det | 95,691 7.874743 .9134717 1 8 drugtest | 95,691 2.068575 3.593735 0 9 -------------+--------------------------------------------------------- drug_res | 95,691 21.14867 40.26076 0 99 alc_res | 95,691 66.10568 42.45283 0 99 by Jean Roth , jroth@nber.org , 18 Apr 2016