Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 73,711 27.68151 16.38898 1 56 st_case | 73,711 277490.8 163858.3 10001 560131 ve_forms | 73,711 1.813284 1.452038 1 40 veh_no | 73,711 1.328241 1.014848 0 40 per_no | 73,711 1.641926 1.983992 1 51 -------------+--------------------------------------------------------- str_veh | 73,711 .0892268 .2974626 0 5 county | 73,711 93.46439 97.34558 0 820 day | 73,711 15.75749 8.850582 1 31 month | 73,711 6.810191 3.374241 1 12 hour | 73,711 13.41501 8.66112 0 99 -------------+--------------------------------------------------------- minute | 73,711 28.66479 18.01962 0 99 road_fnc | 73,711 8.672233 6.1096 1 99 harm_ev | 73,711 15.89897 12.31704 1 99 man_coll | 73,711 2.419652 6.151907 0 99 sch_bus | 73,711 .0061728 .0783246 0 1 -------------+--------------------------------------------------------- make | 67,358 34.0124 25.36015 1 99 mak_mod | 67,358 34354.43 25494.53 1001 99999 body_typ | 67,358 24.06128 25.87579 1 99 mod_year | 67,358 2131.334 1001.511 1927 9999 tow_veh | 67,358 .0765908 .4631061 0 9 -------------+--------------------------------------------------------- spec_use | 67,358 .2719499 4.668627 0 99 emer_use | 67,358 .0242584 .4222314 0 9 rollover | 67,358 .2869295 .8942937 0 9 impact1 | 67,358 16.52222 22.78451 0 99 fire_exp | 67,358 .0315033 .1746749 0 1 -------------+--------------------------------------------------------- age | 73,711 58.17991 135.2037 0 999 sex | 73,711 1.44102 1.008318 1 9 per_typ | 73,711 1.686668 1.235357 1 10 inj_sev | 73,711 2.493671 1.785601 0 9 seat_pos | 73,711 13.45886 11.65933 0 99 -------------+--------------------------------------------------------- rest_use | 73,711 20.58721 34.5693 0 99 rest_mis | 73,711 .6929902 2.244849 0 8 air_bag | 73,711 20.10038 31.31702 0 99 ejection | 73,711 1.454084 2.965167 0 9 ej_path | 73,711 .7466321 2.418281 0 9 -------------+--------------------------------------------------------- extricat | 73,711 .32021 1.392759 0 9 drinking | 73,711 4.190853 4.034734 0 9 alc_det | 73,711 7.78938 2.630032 1 9 alc_status | 73,711 1.190677 1.815776 0 9 atst_typ | 73,711 5.217688 20.62606 0 99 -------------+--------------------------------------------------------- alc_res | 73,711 60.74294 44.40454 0 99 drugs | 73,711 4.861649 3.984135 0 9 drug_det | 73,711 7.377854 1.887035 1 8 dstatus | 73,711 1.077071 1.891728 0 9 drugtst1 | 73,711 .7821085 1.715126 0 9 -------------+--------------------------------------------------------- drugtst2 | 73,711 .0732591 .3753062 0 9 drugtst3 | 73,711 .0349066 .2671644 0 9 drugres1 | 73,711 112.9061 276.8696 0 999 drugres2 | 73,711 29.00899 134.2722 0 998 drugres3 | 73,711 15.01274 103.3982 0 998 -------------+--------------------------------------------------------- hospital | 73,711 2.118788 2.475828 0 9 doa | 73,711 1.798768 3.065584 0 9 death_da | 73,711 56.15855 36.37058 1 99 death_mo | 73,711 52.13594 40.41185 1 99 death_yr | 73,711 5834.424 3415.568 2014 8888 -------------+--------------------------------------------------------- death_hr | 73,711 56.78705 37.7697 0 99 death_mn | 73,711 63.4896 31.76949 0 99 death_tm | 73,711 5742.194 3806.378 0 9999 lag_hrs | 73,711 594.4868 483.4612 0 999 lag_mins | 73,711 65.0804 42.03171 0 99 -------------+--------------------------------------------------------- p_sf1 | 73,711 .3562562 5.340681 0 99 p_sf2 | 73,711 .1611564 3.969584 0 99 p_sf3 | 73,711 .1553499 3.914865 0 99 cert_no | 0 work_inj | 73,711 4.677538 3.958714 0 9 -------------+--------------------------------------------------------- hispanic | 73,711 7.716216 21.81913 0 99 race | 73,711 4.937146 20.05127 0 99 location | 73,711 1.089715 5.561857 0 99 by Jean Roth , jroth@nber.org , 22 Oct 2016