Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,014 43 0 43 43 veh_no | 1,014 1.139053 .7174276 0 4 per_no | 1,014 1.486193 1.182843 1 14 n_mot_no | 1,014 .1558185 .3628622 0 1 age | 1,014 40.91815 23.41952 0 99 -------------+--------------------------------------------------------- sex | 1,014 1.464497 1.381096 1 9 per_typ | 1,014 1.892505 1.446404 1 8 seat_pos | 1,014 11.11144 6.981318 0 52 rest_use | 1,014 4.395464 16.60696 0 99 air_bag | 1,014 26.73964 16.65512 0 99 -------------+--------------------------------------------------------- ejection | 1,014 .2938856 1.529707 0 9 ej_path | 1,014 .2938856 1.529707 0 9 extricat | 1,014 .2662722 1.525728 0 9 location | 1,014 2.006903 4.793356 0 18 drinking | 1,014 6.139053 3.30625 0 8 -------------+--------------------------------------------------------- alc_det | 1,014 7.248521 3.122597 1 9 atst_typ | 1,014 .7672584 .7185821 0 2 alc_res | 1,014 43.29783 45.30241 0 97 drugs | 1,014 8 0 8 8 drug_det | 1,014 8 0 8 8 -------------+--------------------------------------------------------- drugtst1 | 1,014 .3678501 .4824582 0 1 drugres1 | 1,014 17.16371 93.73744 0 695 drugtst2 | 1,014 .0207101 .1424822 0 1 drugres2 | 1,014 9.857988 77.51287 0 695 drugtst3 | 1,014 .0029586 .0543391 0 1 -------------+--------------------------------------------------------- drugres3 | 1,014 .464497 8.668982 0 177 inj_sev | 1,014 2.58284 1.583647 0 4 hospital | 1,014 .6351085 1.075157 0 9 death_mo | 1,014 2.985207 4.061324 0 12 death_da | 1,014 7.005917 9.624436 0 31 -------------+--------------------------------------------------------- death_hr | 1,014 5.449704 7.806073 0 24 death_mn | 1,014 10.82347 17.02311 0 59 lag_hrs | 1,014 562.0868 486.4832 0 999 lag_mins | 1,014 60.10256 44.78927 0 99 race | 1,014 1.997041 12.29824 0 99 -------------+--------------------------------------------------------- hispanic | 1,014 2.431953 12.27292 0 99 p_cf1 | 1,014 .15286 3.13741 0 99 p_cf2 | 1,014 .2011834 3.383509 0 99 p_cf3 | 1,014 .1538462 3.50067 0 99 work_inj | 1,014 4.538462 3.981696 0 9 -------------+--------------------------------------------------------- doa | 1,014 1.774162 3.046413 0 7 st_case | 1,014 430223.3 127.2673 430001 430437 death_yr | 1,014 903.6341 998.1053 0 2005 death_tm | 1,014 555.7939 790.0216 0 2400 cert_no | 0 -------------+--------------------------------------------------------- make | 856 42.67874 25.41148 2 99 body_typ | 856 24.26285 30.9555 2 99 rollover | 852 .1713615 .5321411 0 2 tow_veh | 856 .3049065 1.6292 0 9 spec_use | 856 .021028 .4347769 0 9 -------------+--------------------------------------------------------- emer_use | 856 0 0 0 0 impact1 | 856 8.981308 4.23515 0 13 impact2 | 856 9.23715 4.137245 0 13 impacts | 856 1.299065 .5976946 0 3 fire_exp | 856 .010514 .1020571 0 1 -------------+--------------------------------------------------------- mak_mod | 856 43000.68 25515.83 2402 99999 mod_year | 856 2369.961 1690.101 1964 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 -------------+--------------------------------------------------------- whlbs_sh | 800 2741.282 3490.971 799 9999 whlbs_lg | 800 2024.294 3869.548 0 9999 mcycl_ds | 184 7325.908 4161.714 450 9999 vin_wgt | 625 4946.966 3333.047 1576 9999 wgtcd_tr | 305 5.285246 3.682365 1 9 -------------+--------------------------------------------------------- county | 1,014 72 0 72 72 month | 1,014 6.708087 3.549063 1 12 day | 1,014 14.9073 8.589882 1 31 hour | 1,014 11.95858 7.420674 0 24 minute | 1,014 24.38955 17.187 0 59 -------------+--------------------------------------------------------- road_fnc | 1,014 8.574951 5.378085 1 16 harm_ev | 1,014 15.41124 10.76646 1 47 man_coll | 1,014 1.710059 2.509755 0 9 sch_bus | 1,014 .0019724 .0443896 0 1 ve_forms | 1,014 1.567061 .7115878 1 4 by Jean Roth , jroth@nber.org , 18 Apr 2016