Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,254 43 0 43 43 county | 1,254 72 0 72 72 month | 1,254 6.829346 3.423253 1 12 day | 1,254 15.57337 8.907467 1 31 hour | 1,254 14.2799 7.022524 0 24 -------------+--------------------------------------------------------- minute | 1,254 22.34928 16.69144 0 55 ve_forms | 1,254 1.5311 .8410304 0 6 road_fnc | 0 harm_ev | 1,254 12.39075 5.905246 1 33 man_coll | 1,254 1.013557 1.451193 0 6 -------------+--------------------------------------------------------- sch_bus | 1,254 0 0 0 0 veh_no | 1,254 1.083732 .781984 0 6 make | 999 27.17317 20.52397 1 99 body_typ | 999 11.56557 18.1164 1 99 mod_year | 999 73.72973 4.464178 57 99 -------------+--------------------------------------------------------- rollover | 999 .3053053 .6934288 0 2 tow_veh | 999 .002002 .0447213 0 1 spec_use | 999 .0500501 .4193438 0 6 emer_use | 999 .004004 .063182 0 1 impact1 | 999 9.633634 4.887093 0 99 -------------+--------------------------------------------------------- impact2 | 999 9.808809 4.98198 0 99 impacts | 999 .9469469 .2286761 0 2 fire_exp | 999 .012012 .1089936 0 1 wgtcd_tr | 1,038 8.684971 1.472992 0 9 per_no | 1,254 1.599681 1.087196 1 9 -------------+--------------------------------------------------------- age | 1,254 33.11722 18.41565 0 99 sex | 1,254 1.238437 .4758387 1 9 per_typ | 1,254 1.736842 .8290216 1 5 seat_pos | 1,254 26.75359 43.20896 0 99 man_rest | 1,254 .3891547 1.124384 0 5 -------------+--------------------------------------------------------- aut_rest | 1,254 0 0 0 0 location | 1,254 1.922648 5.34668 0 99 ejection | 1,254 .0143541 .1189929 0 1 extricat | 1,254 .0079745 .0889787 0 1 drinking | 1,254 .1594896 .3662781 0 1 -------------+--------------------------------------------------------- test_res | 1,254 71.09011 39.91594 0 99 inj_sev | 1,254 2.45933 1.555421 0 4 hospital | 1,254 .6028708 .545042 0 9 death_mo | 1,254 2.838915 4.052672 0 12 death_da | 1,254 6.352472 9.525796 0 31 -------------+--------------------------------------------------------- death_yr | 1,254 33.17464 39.42992 0 81 death_hr | 1,137 99 0 99 99 death_mn | 1,137 99 0 99 99 lag_hrs | 1,137 999 0 999 999 lag_mins | 1,137 99 0 99 99 -------------+--------------------------------------------------------- p_cf1 | 1,254 1.587719 9.31123 0 99 p_cf2 | 1,254 .9098884 9.240116 0 99 p_cf3 | 1,254 .8684211 9.235125 0 99 st_case | 1,254 430248.2 141.9761 430001 430495 mak_mod | 999 2786.153 2052.786 101 9999 -------------+--------------------------------------------------------- vin_wgt | 946 8714.005 2833.89 1610 9999 whlbs_sh | 946 8438.868 3408.827 866 9999 whlbs_lg | 946 8282.947 3751.403 0 9999 mcycl_ds | 798 9808.386 1334.409 123 9999 death_tm | 1,137 9999 0 9999 9999 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016