Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,453 43 0 43 43 county | 1,453 72 0 72 72 month | 1,453 6.926359 3.504731 1 12 day | 1,453 15.3393 9.014212 1 31 hour | 1,453 13.03441 7.931537 0 99 -------------+--------------------------------------------------------- minute | 1,453 22.7488 17.22712 0 99 ve_forms | 1,453 1.577426 .7303626 1 4 road_fnc | 1,453 9.234687 5.422569 1 16 harm_ev | 1,453 13.97866 9.754999 1 43 man_coll | 1,453 1.365451 1.895505 0 6 -------------+--------------------------------------------------------- sch_bus | 1,453 .0137646 .1165526 0 1 veh_no | 1,453 1.108052 .730125 0 4 make | 1,188 36.3064 22.85629 1 99 body_typ | 1,188 16.21044 27.03443 1 99 mod_year | 1,188 85.33165 6.975787 60 99 -------------+--------------------------------------------------------- rollover | 1,188 .1313131 .4639626 0 2 tow_veh | 1,188 .469697 2.002507 0 9 spec_use | 1,188 .4924242 2.02531 0 9 emer_use | 1,188 .0050505 .0709171 0 1 impact1 | 1,188 8.878788 4.287729 0 13 -------------+--------------------------------------------------------- impact2 | 1,188 8.93266 4.290682 0 13 impacts | 1,188 1.214646 .579243 0 3 fire_exp | 1,188 .006734 .0818187 0 1 wgtcd_tr | 579 7.037997 3.303339 1 9 per_no | 1,453 1.66552 1.47183 1 14 -------------+--------------------------------------------------------- n_mot_no | 1,453 .1823813 .3862914 0 1 age | 1,453 38.55334 24.60595 0 99 sex | 1,453 1.588438 1.598873 1 9 per_typ | 1,453 2.04267 1.513792 1 8 seat_pos | 1,453 11.38472 8.042926 0 52 -------------+--------------------------------------------------------- location | 1,453 2.464556 5.278434 0 18 ejection | 1,453 .3977977 1.77914 0 9 extricat | 1,453 .3654508 1.776985 0 9 alc_det | 1,453 7.47488 3.081574 1 9 drinking | 1,453 6.492774 3.046605 0 8 -------------+--------------------------------------------------------- inj_sev | 1,453 2.549209 1.554725 0 4 hospital | 1,453 .5251204 .4995405 0 1 death_mo | 1,453 2.881624 4.108685 0 12 death_da | 1,453 6.310392 9.49507 0 31 death_yr | 1,453 38.40399 45.80626 0 94 -------------+--------------------------------------------------------- death_hr | 1,453 5.682725 10.48739 0 99 death_mn | 1,453 10.3042 17.32952 0 99 lag_hrs | 600 39.44167 143.3448 0 999 lag_mins | 600 11.63167 19.3122 0 99 p_cf1 | 1,453 .1631108 2.225624 0 78 -------------+--------------------------------------------------------- p_cf2 | 1,453 .074329 .5926388 0 5 p_cf3 | 1,453 0 0 0 0 work_inj | 1,453 4.697178 3.939519 0 8 st_case | 1,453 430281.8 160.0158 430001 430567 mak_mod | 1,188 36670.66 22951.71 1399 99999 -------------+--------------------------------------------------------- vin_wgt | 1,000 6616.429 3728.123 1444 9999 whlbs_sh | 1,000 5028.873 4480.186 799 9999 whlbs_lg | 1,000 4491.523 4965.517 0 9999 mcycl_ds | 437 9510.387 2076.7 50 9999 death_tm | 1,453 578.5767 1060.307 0 9999 -------------+--------------------------------------------------------- cert_no | 0 ser_tr | 0 vina_mod | 0 vin_bt | 0 rest_use | 1,453 1.357192 2.15092 0 9 -------------+--------------------------------------------------------- air_bag | 1,453 7.358568 3.476623 0 9 ej_path | 1,453 .3977977 1.77914 0 9 alc_res | 1,453 50.19064 45.54233 0 97 drugs | 1,453 7.995182 .1836391 1 8 drug_det | 1,453 7.995182 .1836391 1 8 -------------+--------------------------------------------------------- drugtst1 | 1,453 .2863042 .4521889 0 1 drugres1 | 1,453 15.77977 83.06591 0 695 drugtst2 | 1,453 .0123882 .1106486 0 1 drugres2 | 1,453 4.856848 44.4451 0 603 drugtst3 | 1,453 .0034412 .0585805 0 1 -------------+--------------------------------------------------------- drugres3 | 1,453 1.417068 27.17182 0 695 by Jean Roth , jroth@nber.org , 18 Apr 2016