Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,288 43 0 43 43 veh_no | 1,288 1.093944 .6916264 0 4 per_no | 1,288 1.48913 1.022607 1 9 n_mot_no | 1,288 .1723602 .37784 0 1 age | 1,288 39.33075 24.31526 0 99 -------------+--------------------------------------------------------- sex | 1,288 1.521739 1.500425 1 9 per_typ | 1,288 1.96972 1.488578 1 8 seat_pos | 1,288 10.75311 6.392953 0 52 rest_use | 1,288 4.67236 18.21792 0 99 air_bag | 1,288 27.14441 17.92077 0 99 -------------+--------------------------------------------------------- ejection | 1,288 .3493789 1.673594 0 9 ej_path | 1,288 .3517081 1.676585 0 9 extricat | 1,288 .3214286 1.670841 0 9 location | 1,288 2.302795 5.09093 0 18 drinking | 1,288 6.26941 3.225953 0 8 -------------+--------------------------------------------------------- alc_det | 1,288 7.36646 3.045757 1 9 atst_typ | 1,288 .7399068 .717128 0 2 alc_res | 1,288 43.97826 45.70954 0 97 drugs | 1,288 8 0 8 8 drug_det | 1,288 8 0 8 8 -------------+--------------------------------------------------------- drugtst1 | 1,288 .3586957 .4798039 0 1 drugres1 | 1,288 20.52484 100.542 0 695 drugtst2 | 1,288 .0108696 .1037293 0 1 drugres2 | 1,288 5.936335 61.74158 0 695 drugtst3 | 1,288 0 0 0 0 -------------+--------------------------------------------------------- drugres3 | 1,288 0 0 0 0 inj_sev | 1,288 2.583851 1.543703 0 4 hospital | 1,288 2.310559 2.77599 0 7 death_mo | 1,288 2.743789 3.891641 0 12 death_da | 1,288 6.610248 9.626367 0 31 -------------+--------------------------------------------------------- death_hr | 1,288 5.069876 8.031586 0 99 death_mn | 1,288 9.681677 16.0918 0 99 lag_hrs | 1,288 17.27019 80.72648 0 999 lag_mins | 1,288 4.658385 12.77094 0 99 race | 1,288 .4332298 .4957142 0 1 -------------+--------------------------------------------------------- hispanic | 1,288 .8656832 .9909314 0 2 p_cf1 | 1,288 .0636646 .8658143 0 28 p_cf2 | 1,288 .1032609 1.288062 0 35 p_cf3 | 1,288 .0698758 1.497398 0 39 work_inj | 1,288 4.535714 3.964132 0 8 -------------+--------------------------------------------------------- st_case | 1,288 430274.1 154.7725 430002 430538 death_yr | 1,288 866.0287 990.9353 0 2000 death_tm | 1,288 516.6693 811.7479 0 9999 cert_no | 0 make | 1,066 40.3227 21.86474 2 99 -------------+--------------------------------------------------------- body_typ | 1,066 16.07598 26.85658 2 99 rollover | 1,066 .1435272 .4950841 0 2 tow_veh | 1,066 .3883677 1.82965 0 9 spec_use | 1,066 .3883677 1.82965 0 9 emer_use | 1,066 0 0 0 0 -------------+--------------------------------------------------------- impact1 | 1,066 8.932458 4.151716 0 12 impact2 | 1,066 9.160413 4.164185 0 13 impacts | 1,066 1.244841 .5692402 0 3 fire_exp | 1,066 .0056285 .0748471 0 1 mak_mod | 1,066 40548.33 21976.81 2402 99999 -------------+--------------------------------------------------------- mod_year | 1,066 2403.587 1772.408 1962 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 whlbs_sh | 1,025 2926.886 3668.049 799 9999 -------------+--------------------------------------------------------- whlbs_lg | 1,025 2202.851 4059.516 0 9999 mcycl_ds | 212 8957.566 2923.252 223 9999 vin_wgt | 921 4796.683 3487.509 238 9999 wgtcd_tr | 316 6.316456 3.577866 1 9 county | 1,288 73.43944 36.51472 72 999 -------------+--------------------------------------------------------- month | 1,288 6.358696 3.50494 1 12 day | 1,288 15.47127 8.859735 1 31 hour | 1,288 12.38199 7.969545 0 99 minute | 1,288 24.00932 17.14502 0 99 ve_forms | 1,288 1.509317 .6244738 1 4 -------------+--------------------------------------------------------- road_fnc | 1,288 9.715062 5.166266 1 16 harm_ev | 1,288 14.62888 9.93806 1 43 man_coll | 1,288 1.437888 1.918509 0 6 sch_bus | 1,288 .0031056 .0556628 0 1 by Jean Roth , jroth@nber.org , 18 Apr 2016