Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 100,666 27.48341 16.06154 1 56 veh_no | 100,666 1.341456 .8745713 0 21 per_no | 100,666 1.82884 2.636212 1 98 n_mot_no | 100,666 .0707091 .5321875 0 99 age | 100,666 36.81698 22.06313 0 99 -------------+--------------------------------------------------------- sex | 100,666 1.448185 1.000552 1 9 per_typ | 100,666 1.65622 1.093029 1 19 seat_pos | 100,666 14.54927 13.1326 0 99 rest_use | 100,666 10.56499 27.95452 0 99 air_bag | 100,666 27.41631 20.16535 0 99 -------------+--------------------------------------------------------- ejection | 100,666 .193998 .7684253 0 9 ej_path | 100,666 .9696322 2.712419 0 9 extricat | 100,666 .2131902 1.058173 0 9 location | 100,666 .7418095 3.339512 0 99 drinking | 100,666 4.410516 4.004994 0 9 -------------+--------------------------------------------------------- alc_det | 100,666 8.118431 2.207801 1 9 atst_typ | 100,666 .9921125 2.22565 0 9 alc_res | 100,666 67.08014 42.55481 0 99 drugs | 100,666 6.523503 3.169452 0 9 drug_det | 100,666 7.768969 1.164739 1 8 -------------+--------------------------------------------------------- drugtst1 | 100,666 1.565971 3.122608 0 9 drugres1 | 100,666 178.5895 374.2989 0 999 drugtst2 | 100,666 .4909503 1.993209 0 9 drugres2 | 100,666 57.5976 227.3818 0 999 drugtst3 | 100,666 .4672581 1.971648 0 9 -------------+--------------------------------------------------------- drugres3 | 100,666 53.26497 222.7773 0 999 inj_sev | 100,666 2.563924 1.647037 0 9 hospital | 100,666 2.167276 2.78959 0 9 death_mo | 100,666 3.084189 6.482955 0 99 death_da | 100,666 6.806956 10.91778 0 99 -------------+--------------------------------------------------------- death_hr | 100,666 7.118709 15.72568 0 99 death_mn | 100,666 13.26633 22.17313 0 99 lag_hrs | 100,666 36.49666 171.2009 0 999 lag_mins | 100,666 9.948195 21.28193 0 99 race | 100,666 7.179405 24.68962 0 99 -------------+--------------------------------------------------------- hispanic | 100,666 10.96461 27.82557 0 99 p_cf1 | 100,666 .4870165 4.838678 0 99 p_cf2 | 100,666 .3875986 4.730057 0 99 p_cf3 | 100,666 .241144 4.18415 0 99 work_inj | 100,666 5.06309 3.893603 0 9 -------------+--------------------------------------------------------- st_case | 100,666 275556 160539.2 10001 560162 death_yr | 100,666 834.0686 1010.795 0 9999 death_tm | 100,666 725.1373 1589.289 0 9999 cert_no | 0 make | 93,959 27.61456 22.43519 1 99 -------------+--------------------------------------------------------- body_typ | 93,959 19.09945 21.96551 1 99 rollover | 93,959 .354942 .7046165 0 2 tow_veh | 93,959 .0818229 .542034 0 9 spec_use | 93,959 .0318756 .4779959 0 9 emer_use | 93,959 .0018519 .0429937 0 1 -------------+--------------------------------------------------------- impact1 | 93,959 10.74225 13.95119 0 99 impact2 | 93,959 11.0512 14.84928 0 99 impacts | 93,959 1.210826 .6971764 0 9 fire_exp | 93,959 .0275226 .1636014 0 1 mak_mod | 93,959 27897.85 22570.27 1001 99999 -------------+--------------------------------------------------------- mod_year | 93,959 2078.226 829.4059 1920 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 whlbs_sh | 91,477 2292.232 3017.726 799 9999 -------------+--------------------------------------------------------- whlbs_lg | 91,477 1571.268 3348.594 0 9999 mcycl_ds | 11,483 8062.039 3724.493 49 9999 vin_wgt | 67,937 4237.02 2838.28 102 9999 wgtcd_tr | 35,021 4.382628 3.498636 1 9 county | 100,666 89.16882 91.9505 0 999 -------------+--------------------------------------------------------- month | 100,666 6.793942 3.340836 1 12 day | 100,666 15.80246 8.87561 1 99 hour | 100,666 13.40553 8.752241 0 99 minute | 100,666 28.26316 18.22495 0 99 ve_forms | 100,666 1.821568 1.168712 1 21 -------------+--------------------------------------------------------- road_fnc | 100,666 7.822989 7.071195 1 99 harm_ev | 100,666 14.89065 10.69918 1 99 man_coll | 100,666 1.649902 1.802966 0 9 sch_bus | 100,666 .007351 .0854229 0 1 by Jean Roth , jroth@nber.org , 18 Apr 2016