Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 104,889 28.42718 15.57215 1 56 county | 104,889 87.97866 97.92398 1 999 month | 104,889 6.810705 3.338013 1 99 day | 104,889 15.62728 8.87848 1 99 hour | 104,889 13.56677 8.756098 0 99 -------------+--------------------------------------------------------- minute | 104,889 26.83914 17.78012 0 99 ve_forms | 104,889 1.646321 .8938097 0 23 road_fnc | 0 harm_ev | 104,889 12.79801 6.776727 1 99 man_coll | 104,889 1.605383 1.91189 0 9 -------------+--------------------------------------------------------- sch_bus | 0 veh_no | 104,889 1.233189 .7338726 0 23 make | 95,336 26.99731 25.84641 1 99 body_typ | 95,336 16.10617 22.4197 1 99 mod_year | 95,336 69.8464 5.367666 1 99 -------------+--------------------------------------------------------- rollover | 0 tow_veh | 95,336 .0137409 .1164139 0 1 spec_use | 95,336 .0479357 .6017137 0 9 emer_use | 0 impact1 | 95,336 10.2537 13.86823 0 99 -------------+--------------------------------------------------------- impact2 | 95,336 11.02587 16.52581 0 99 impacts | 95,336 1.156772 .7400953 0 9 fire_exp | 95,336 .0227721 .1491769 0 1 wgtcd_tr | 52,968 7.634289 2.92317 0 9 per_no | 104,889 1.767964 1.67806 1 48 -------------+--------------------------------------------------------- age | 104,889 31.99769 20.18075 0 99 sex | 104,889 1.312426 .611054 1 9 per_typ | 104,889 1.592626 .7689607 1 9 seat_pos | 104,889 7.296142 22.10745 0 99 man_rest | 104,889 2.616442 3.979842 0 9 -------------+--------------------------------------------------------- aut_rest | 104,889 2.450324 4.006006 0 9 location | 104,889 .8252438 4.009966 0 99 ejection | 104,889 3.399832 4.230551 0 9 extricat | 104,889 2.595687 3.981825 0 9 drinking | 0 -------------+--------------------------------------------------------- test_res | 104,889 82.68081 32.32931 0 99 inj_sev | 104,889 2.61506 1.58247 0 9 hospital | 0 death_mo | 104,889 3.452917 8.579044 0 99 death_da | 104,889 7.144934 12.04839 0 99 -------------+--------------------------------------------------------- death_yr | 104,889 31.98967 37.29562 0 99 death_hr | 104,889 12.00947 26.22799 0 99 death_mn | 104,889 16.48193 28.47492 0 99 lag_hrs | 44,525 126.9261 298.0317 0 999 lag_mins | 44,525 27.79207 29.17047 0 99 -------------+--------------------------------------------------------- p_cf1 | 104,889 1.238223 9.61384 0 99 p_cf2 | 104,889 .9520636 9.39753 0 99 p_cf3 | 104,889 .8870711 9.301207 0 99 st_case | 104,889 284996.9 155638.3 10001 560172 mak_mod | 95,336 2734.847 2600.05 100 9999 -------------+--------------------------------------------------------- vin_wgt | 85,723 6345.874 3398.506 0 9999 whlbs_sh | 85,723 5157.986 4425.969 0 9999 whlbs_lg | 85,723 4688.608 4866.368 0 9999 mcycl_ds | 39,574 9924.7 673.1008 0 9999 death_tm | 104,889 1217.429 2648.318 0 9999 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016