Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,412 43 0 43 43 county | 1,412 72 0 72 72 month | 1,412 6.379603 3.549841 1 12 day | 1,412 15.4313 8.558894 1 31 hour | 1,412 14.0779 7.117791 0 23 -------------+--------------------------------------------------------- minute | 1,412 23.65935 16.71136 0 55 ve_forms | 1,412 1.560198 .7211904 1 5 road_fnc | 1,412 10.54391 10.05281 1 99 harm_ev | 1,412 13.91785 9.615517 1 42 man_coll | 1,412 1.124646 1.494631 0 6 -------------+--------------------------------------------------------- sch_bus | 1,412 .0028329 .053168 0 1 veh_no | 1,412 1.109773 .7319697 0 5 make | 1,164 35.69158 22.37548 1 99 body_typ | 1,164 17.90722 29.32197 2 99 mod_year | 1,164 81.38144 7.197654 60 99 -------------+--------------------------------------------------------- rollover | 1,164 .1993127 .563858 0 2 tow_veh | 1,164 .2637457 1.516328 0 9 spec_use | 1,164 .2268041 1.338022 0 9 emer_use | 1,164 .0068729 .0826528 0 1 impact1 | 1,164 10.06014 12.58463 0 99 -------------+--------------------------------------------------------- impact2 | 1,164 12.07388 17.36329 0 99 impacts | 1,164 1.061856 .5544678 0 9 fire_exp | 1,164 .0042955 .0654275 0 1 wgtcd_tr | 482 6.475104 3.594348 1 9 per_no | 1,412 1.608357 1.237388 1 12 -------------+--------------------------------------------------------- n_mot_no | 1,412 .2152975 1.433761 0 52 age | 1,412 37.29108 22.41038 0 99 sex | 1,412 1.530453 1.572192 1 9 per_typ | 1,412 2.03187 1.530592 1 9 seat_pos | 1,412 19.02337 27.26912 0 99 -------------+--------------------------------------------------------- man_rest | 1,412 .5325779 1.926631 0 9 aut_rest | 1,412 .3569405 1.757056 0 9 location | 1,412 2.320822 6.133737 0 99 ejection | 1,412 .0977337 .8677679 0 9 extricat | 1,412 .1033994 .9535282 0 9 -------------+--------------------------------------------------------- alc_det | 1,412 7.46813 2.987757 1 9 drinking | 1,412 6.214589 3.217817 0 9 test_res | 1,412 63.2415 42.73095 0 99 toxclgy | 1,412 1.081445 2.86671 0 9 inj_sev | 1,412 2.396601 1.657811 0 9 -------------+--------------------------------------------------------- hospital | 1,412 .7577904 1.000058 0 9 death_mo | 1,412 2.63881 3.891858 0 12 death_da | 1,412 6.373229 9.436509 0 31 death_yr | 1,412 36.46105 43.36687 0 89 death_hr | 1,412 6.533994 12.50075 0 99 -------------+--------------------------------------------------------- death_mn | 1,412 10.35057 18.2698 0 99 lag_hrs | 585 55.83248 178.4946 0 999 lag_mins | 585 11.59487 21.09652 0 99 p_cf1 | 1,412 .1848442 .7792288 0 5 p_cf2 | 1,412 0 0 0 0 -------------+--------------------------------------------------------- p_cf3 | 1,412 0 0 0 0 work_inj | 1,412 4.6983 3.941589 0 9 st_case | 1,412 430304 172.0252 430002 430600 mak_mod | 1,164 3653.021 2240.353 199 9999 vin_wgt | 968 5604.942 3702.312 0 9999 -------------+--------------------------------------------------------- whlbs_sh | 968 4195.167 4302.829 0 9999 whlbs_lg | 968 3636.018 4725.982 0 9999 mcycl_ds | 336 9298.446 2475.878 50 9999 death_tm | 1,412 663.75 1263.338 0 9999 ser_tr | 0 -------------+--------------------------------------------------------- vina_mod | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016