Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 84,510 27.14431 16.30337 1 56 veh_no | 84,510 1.362797 1.30853 0 51 per_no | 84,510 1.701041 2.089383 1 56 n_mot_no | 84,510 .0732931 .6449832 0 99 age | 84,510 38.45191 21.47242 0 99 -------------+--------------------------------------------------------- sex | 84,510 1.433262 1.005441 1 9 per_typ | 84,510 1.640516 1.146102 1 10 seat_pos | 84,510 14.07521 12.48614 0 99 rest_use | 84,510 9.535451 26.06521 0 99 air_bag | 84,510 20.44357 18.17458 0 99 -------------+--------------------------------------------------------- ejection | 84,510 1.329014 2.831966 0 9 ej_path | 84,510 .8532481 2.559653 0 9 extricat | 84,510 .1810673 .8658994 0 9 location | 84,510 .7047332 3.220052 0 99 drinking | 84,510 4.129511 3.993841 0 9 -------------+--------------------------------------------------------- alc_det | 84,510 7.711229 2.614043 1 9 atst_typ | 84,510 4.431038 19.17765 0 99 alc_res | 84,510 60.91063 44.26872 0 99 drugs | 84,510 5.956443 3.565456 0 9 drug_det | 84,510 7.493669 1.685281 1 8 -------------+--------------------------------------------------------- drugtst1 | 84,510 .7424092 1.812377 0 9 drugres1 | 84,510 114.4065 294.3484 0 999 drugtst2 | 84,510 .3464205 1.609487 0 9 drugres2 | 84,510 51.16777 205.0776 0 999 drugtst3 | 84,510 .3216661 1.603564 0 9 -------------+--------------------------------------------------------- drugres3 | 84,510 41.62365 193.9053 0 999 inj_sev | 84,510 2.543237 1.711573 0 9 hospital | 84,510 .58031 1.002833 0 9 death_mo | 84,510 3.136587 5.925974 0 99 death_da | 84,510 7.160596 10.73955 0 99 -------------+--------------------------------------------------------- death_hr | 84,510 7.974476 17.36963 0 99 death_mn | 84,510 14.57721 23.09509 0 99 lag_hrs | 84,510 597.9745 483.4221 0 999 lag_mins | 84,510 66.38672 40.93996 0 99 race | 84,510 7.935286 25.8528 0 99 -------------+--------------------------------------------------------- hispanic | 84,510 10.40443 26.55612 0 99 p_cf1 | 84,510 .8171814 6.252611 0 99 p_cf2 | 84,510 .4926281 5.364106 0 99 p_cf3 | 84,510 .2963081 4.754112 0 99 work_inj | 84,510 5.060928 3.923491 0 9 -------------+--------------------------------------------------------- doa | 84,510 1.893066 3.130061 0 9 st_case | 84,510 272166 162951.4 10001 560139 death_yr | 84,510 889.8522 1000.809 0 9999 death_tm | 84,510 812.0248 1754.906 0 9999 cert_no | 0 -------------+--------------------------------------------------------- make | 78,747 31.80592 24.45515 1 99 body_typ | 78,747 23.28863 25.34294 1 99 rollover | 78,500 .3735159 .7238931 0 2 tow_veh | 78,747 .0700979 .4285049 0 9 spec_use | 78,747 .0303377 .4192393 0 9 -------------+--------------------------------------------------------- emer_use | 78,747 .0017144 .0413695 0 1 impact1 | 78,747 11.07353 14.13331 0 99 impact2 | 78,747 11.5757 15.39778 0 99 impacts | 78,747 1.315847 .724469 0 9 fire_exp | 78,747 .0293852 .1745788 0 2 -------------+--------------------------------------------------------- mak_mod | 78,747 32138.68 24589.51 1001 99999 mod_year | 78,747 2101.698 896.5796 1928 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 -------------+--------------------------------------------------------- whlbs_sh | 72,853 1508.725 1903.654 0 9999 whlbs_lg | 72,853 698.4728 2142.937 0 9999 mcycl_ds | 9,197 4366.015 4343.086 49 9999 vin_wgt | 48,890 3774.569 1929.459 0 9999 wgtcd_tr | 27,435 3.559504 3.058073 1 9 -------------+--------------------------------------------------------- county | 84,510 90.41154 94.75519 1 820 month | 84,510 6.625997 3.402153 1 12 day | 84,510 15.70613 8.870231 1 99 hour | 84,510 13.30776 8.9721 0 99 minute | 84,510 28.81931 18.27348 0 99 -------------+--------------------------------------------------------- road_fnc | 84,510 8.541474 8.556706 1 99 harm_ev | 84,510 15.85163 11.78873 1 99 man_coll | 84,510 2.081328 5.011284 0 99 sch_bus | 84,510 .0073719 .0855433 0 1 ve_forms | 84,510 1.841593 2.031653 1 51 by Jean Roth , jroth@nber.org , 18 Apr 2016