Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 98,356 26.6084 16.38955 1 56 veh_no | 98,356 1.339542 .8192231 0 22 per_no | 98,356 1.697761 1.824902 1 53 n_mot_no | 98,356 .0664626 .5127477 0 99 age | 98,356 37.51153 21.49915 0 99 -------------+--------------------------------------------------------- sex | 98,356 1.441712 1.023574 1 9 per_typ | 98,356 1.62958 1.100767 1 9 seat_pos | 98,356 14.33212 12.94492 0 99 rest_use | 98,356 9.871813 26.72013 0 99 air_bag | 98,356 21.43059 17.941 0 99 -------------+--------------------------------------------------------- ejection | 98,356 .196287 .8145547 0 9 ej_path | 98,356 .9388954 2.67962 0 9 extricat | 98,356 .1848082 .9110383 0 9 location | 98,356 .6807109 3.510767 0 99 drinking | 98,356 4.265474 4.000655 0 9 -------------+--------------------------------------------------------- alc_det | 98,356 7.814805 2.496909 1 9 atst_typ | 98,356 4.978466 20.54222 0 99 alc_res | 98,356 65.35596 43.09761 0 99 drugs | 98,356 5.904937 3.583946 0 9 drug_det | 98,356 7.521046 1.669474 1 8 -------------+--------------------------------------------------------- drugtst1 | 98,356 .7612347 1.941404 0 9 drugres1 | 98,356 117.0265 301.9674 0 999 drugtst2 | 98,356 .3727175 1.675778 0 9 drugres2 | 98,356 49.97098 204.8946 0 999 drugtst3 | 98,356 .3502684 1.66636 0 9 -------------+--------------------------------------------------------- drugres3 | 98,356 42.5137 196.8624 0 999 inj_sev | 98,356 2.550378 1.70221 0 9 hospital | 98,356 .6062467 1.099395 0 9 death_mo | 98,356 3.079212 5.91879 0 99 death_da | 98,356 6.951777 10.51341 0 99 -------------+--------------------------------------------------------- death_hr | 98,356 7.986407 17.64841 0 99 death_mn | 98,356 14.47279 23.40425 0 99 lag_hrs | 98,356 608.4336 481.6526 0 999 lag_mins | 98,356 66.96589 41.08651 0 99 race | 98,356 6.714639 23.77031 0 99 -------------+--------------------------------------------------------- hispanic | 98,356 8.743015 23.96762 0 99 p_cf1 | 98,356 .6641486 6.165129 0 99 p_cf2 | 98,356 .4493879 5.511496 0 99 p_cf3 | 98,356 .3030115 5.065702 0 99 work_inj | 98,356 4.901674 3.933068 0 9 -------------+--------------------------------------------------------- doa | 98,356 1.807343 3.073463 0 9 st_case | 98,356 266892.5 163730.7 10001 560169 death_yr | 98,356 871.4496 996.3825 0 9999 death_tm | 98,356 813.1134 1783.102 0 9999 cert_no | 0 -------------+--------------------------------------------------------- make | 92,161 30.607 23.94797 1 99 body_typ | 92,161 22.08807 24.27238 1 99 rollover | 91,860 .3847921 .7301945 0 2 tow_veh | 92,159 .0781475 .5166469 0 9 spec_use | 92,161 .0345374 .4970952 0 9 -------------+--------------------------------------------------------- emer_use | 92,161 .001378 .0370964 0 1 impact1 | 92,161 11.01276 13.98396 0 99 impact2 | 92,161 11.52714 15.26053 0 99 impacts | 92,161 1.326212 .7701769 0 9 fire_exp | 92,161 .0297631 .1699341 0 1 -------------+--------------------------------------------------------- mak_mod | 92,161 30931 24078.06 1009 99999 mod_year | 92,161 2110.397 940.6641 1927 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 -------------+--------------------------------------------------------- whlbs_sh | 86,694 1991.088 2612.502 799 9999 whlbs_lg | 86,694 1192.738 2927.013 0 9999 mcycl_ds | 9,363 4887.978 4458.337 49 9999 vin_wgt | 59,581 3973.866 2064.573 1085 9999 wgtcd_tr | 31,146 3.655847 3.098211 1 9 -------------+--------------------------------------------------------- county | 98,356 87.85366 91.84825 0 840 month | 98,356 6.650545 3.372931 1 12 day | 98,356 15.58296 8.748642 1 31 hour | 98,356 13.27536 8.949288 0 99 minute | 98,356 28.80878 18.27325 0 99 -------------+--------------------------------------------------------- road_fnc | 98,356 8.727795 9.12162 1 99 harm_ev | 98,356 15.62557 11.75774 1 99 man_coll | 98,356 2.12226 4.717519 0 99 sch_bus | 98,356 .0059071 .0766308 0 1 ve_forms | 98,356 1.794522 1.063493 1 22 by Jean Roth , jroth@nber.org , 18 Apr 2016