Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,077 43 0 43 43 veh_no | 1,077 1.090994 .71695 0 5 per_no | 1,077 1.401114 .8341674 1 7 n_mot_no | 1,077 .1792015 .3836991 0 1 age | 1,077 40.40019 24.93066 0 99 -------------+--------------------------------------------------------- sex | 1,077 1.64624 1.758204 1 9 per_typ | 1,077 1.974002 1.520392 1 6 seat_pos | 1,077 10.98793 7.985631 0 53 rest_use | 1,077 6.582173 21.91 0 99 air_bag | 1,077 27.80223 20.32448 0 99 -------------+--------------------------------------------------------- ejection | 1,077 .4958217 2.016021 0 9 ej_path | 1,077 .5041783 2.02843 0 9 extricat | 1,077 .4763231 2.015886 0 9 location | 1,077 2.376045 5.116732 0 18 drinking | 1,077 6.247911 3.245644 0 8 -------------+--------------------------------------------------------- alc_det | 1,077 7.337976 3.080545 1 9 atst_typ | 1,077 .7502321 .6990517 0 2 alc_res | 1,077 43.18663 45.20023 0 97 drugs | 1,077 8 0 8 8 drug_det | 1,077 8 0 8 8 -------------+--------------------------------------------------------- drugtst1 | 1,077 .3788301 .4853211 0 1 drugres1 | 1,077 12.51068 72.43004 0 695 drugtst2 | 1,077 .0111421 .105015 0 1 drugres2 | 1,077 3.166202 36.20141 0 695 drugtst3 | 1,077 .0027855 .0527289 0 1 -------------+--------------------------------------------------------- drugres3 | 1,077 .4744661 9.067311 0 187 inj_sev | 1,077 2.593315 1.602122 0 4 hospital | 1,077 .5329619 .4991441 0 1 death_mo | 1,077 3.089136 4.102253 0 12 death_da | 1,077 7.045497 9.723824 0 31 -------------+--------------------------------------------------------- death_hr | 1,077 5.627669 8.084113 0 24 death_mn | 1,077 9.753018 16.40134 0 59 lag_hrs | 1,077 551.0687 488.9461 0 999 lag_mins | 1,077 59.17642 44.7599 0 99 race | 1,077 .45961 .4985975 0 1 -------------+--------------------------------------------------------- hispanic | 1,077 .9192201 .997195 0 2 p_cf1 | 1,077 .084494 .9608078 0 28 p_cf2 | 1,077 .1207057 1.653629 0 51 p_cf3 | 1,077 .0427112 1.117633 0 36 work_inj | 1,077 4.32312 3.98878 0 8 -------------+--------------------------------------------------------- doa | 1,077 1.631383 2.960813 0 7 st_case | 1,077 430232.1 134.2115 430001 430470 death_yr | 1,077 921.0594 999.1904 0 2005 death_tm | 1,077 572.52 816.1969 0 2400 cert_no | 0 -------------+--------------------------------------------------------- make | 884 42.83937 24.05583 2 99 body_typ | 884 23.02376 31.7918 2 99 rollover | 884 .1176471 .4611335 0 2 tow_veh | 884 .5395928 2.137836 0 9 spec_use | 884 .1527149 1.163032 0 9 -------------+--------------------------------------------------------- emer_use | 884 0 0 0 0 impact1 | 884 9.115385 4.051792 0 13 impact2 | 884 9.466063 3.900225 0 13 impacts | 884 1.288462 .5420509 0 3 fire_exp | 884 .0045249 .0671529 0 1 -------------+--------------------------------------------------------- mak_mod | 884 43133.69 24190.54 2403 99999 mod_year | 884 2610.164 2134.192 1961 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 -------------+--------------------------------------------------------- whlbs_sh | 822 2660.107 3442.856 799 9999 whlbs_lg | 822 1900.805 3818.79 0 9999 mcycl_ds | 173 6910.543 4307.774 250 9999 vin_wgt | 680 4770.381 3304.577 1644 9999 wgtcd_tr | 256 5.355469 3.759773 1 9 -------------+--------------------------------------------------------- county | 1,077 72 0 72 72 month | 1,077 6.615599 3.46207 1 12 day | 1,077 16.16435 8.775383 1 31 hour | 1,077 12.55339 7.729883 0 24 minute | 1,077 26.37604 16.94543 0 59 -------------+--------------------------------------------------------- ve_forms | 1,077 1.535747 .6964286 1 5 road_fnc | 1,077 8.767874 5.38637 1 16 harm_ev | 1,077 14.81151 10.06155 1 43 man_coll | 1,077 1.716806 2.533901 0 8 sch_bus | 1,077 0 0 0 0 by Jean Roth , jroth@nber.org , 18 Apr 2016