Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 107,777 26.90658 16.13072 1 56 county | 107,777 85.10229 91.36211 0 997 month | 107,777 6.683801 3.318319 1 12 day | 107,777 15.61498 8.867473 1 99 hour | 107,777 13.37587 8.972359 0 99 -------------+--------------------------------------------------------- minute | 107,777 27.64966 18.03311 0 99 ve_forms | 107,777 1.765674 1.386006 1 38 road_fnc | 107,777 7.962589 5.696026 1 99 harm_ev | 107,777 14.83179 10.45966 1 99 man_coll | 107,777 1.571968 1.785071 0 9 -------------+--------------------------------------------------------- sch_bus | 107,777 .0052887 .0725312 0 1 veh_no | 107,777 1.304425 .9883799 0 38 make | 99,297 27.27159 21.44937 1 99 body_typ | 99,297 22.11307 25.57958 1 99 mod_year | 99,297 83.21705 5.90336 23 99 -------------+--------------------------------------------------------- rollover | 99,297 .3205132 .6793842 0 2 tow_veh | 99,297 .0841113 .5893729 0 9 spec_use | 99,297 .0540701 .629937 0 9 emer_use | 99,297 .0018832 .0433556 0 1 impact1 | 99,297 10.57313 14.21197 0 99 -------------+--------------------------------------------------------- impact2 | 99,297 10.59596 14.29399 0 99 impacts | 99,297 1.166078 .6206075 0 9 fire_exp | 99,297 .0267783 .1614356 0 1 wgtcd_tr | 33,290 3.951307 3.452854 1 9 per_no | 107,777 1.782152 2.180582 1 78 -------------+--------------------------------------------------------- n_mot_no | 107,777 .0818635 .5088542 0 99 age | 107,777 35.18702 21.7593 0 99 sex | 107,777 1.457751 1.104944 1 9 per_typ | 107,777 1.705253 1.141627 1 9 seat_pos | 107,777 14.52432 14.01932 0 99 -------------+--------------------------------------------------------- man_rest | 107,777 2.348136 3.286211 0 9 aut_rest | 107,777 8.126456 2.65777 0 9 location | 107,777 .8841033 3.776098 0 99 ejection | 107,777 .1982891 .8100317 0 9 extricat | 107,777 .3399612 1.5798 0 9 -------------+--------------------------------------------------------- alc_det | 107,777 8.074524 2.388594 1 9 drinking | 107,777 4.407044 3.963612 0 9 test_res | 107,777 64.80415 42.75665 0 99 toxclgy | 107,777 2.309927 3.334565 0 9 inj_sev | 107,777 2.577257 1.658136 0 9 -------------+--------------------------------------------------------- hospital | 107,777 .7886284 1.393453 0 9 death_mo | 107,777 2.819628 4.524398 0 99 death_da | 107,777 6.514136 9.83502 0 99 death_yr | 107,777 37.24399 44.32809 0 99 death_hr | 107,777 7.191933 16.28503 0 99 -------------+--------------------------------------------------------- death_mn | 107,777 12.69574 21.71232 0 99 lag_hrs | 44,599 84.00307 250.2383 0 999 lag_mins | 44,599 23.66147 27.00002 0 99 p_cf1 | 107,777 .4753333 4.544881 0 99 p_cf2 | 107,777 .2508791 4.038857 0 99 -------------+--------------------------------------------------------- p_cf3 | 107,777 .1604146 3.692487 0 99 work_inj | 107,777 5.105672 3.887937 0 9 st_case | 107,777 269924 161069.7 10001 560107 mak_mod | 99,297 2774.74 2155.457 101 9999 vin_wgt | 69,721 3890.771 2556.683 999 9999 -------------+--------------------------------------------------------- whlbs_sh | 69,708 2001.178 2766.679 798 9999 whlbs_lg | 69,708 1139.944 3075.426 0 9999 mcycl_ds | 10,905 6977.232 4337.587 49 9999 death_tm | 107,777 731.8891 1645.337 0 9999 ser_tr | 0 -------------+--------------------------------------------------------- vina_mod | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016