Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,282 43 0 43 43 county | 1,282 72 0 72 72 month | 1,282 6.843214 3.479334 1 12 day | 1,282 16.60296 8.476855 1 31 hour | 1,282 13.18955 7.810347 0 99 -------------+--------------------------------------------------------- minute | 1,282 23.53354 17.70729 0 99 ve_forms | 1,282 1.556942 .7244709 1 4 road_fnc | 1,282 9.397036 5.040887 1 16 harm_ev | 1,282 14.28861 9.854017 1 43 man_coll | 1,282 1.285491 1.771822 0 6 -------------+--------------------------------------------------------- sch_bus | 1,282 0 0 0 0 veh_no | 1,282 1.093604 .744885 0 4 make | 1,036 39.79633 22.0455 1 99 body_typ | 1,036 15.27799 25.74483 1 99 rollover | 1,036 .1563707 .524444 0 2 -------------+--------------------------------------------------------- tow_veh | 1,036 .3474903 1.734811 0 9 spec_use | 1,036 .3610039 1.759168 0 9 emer_use | 1,036 0 0 0 0 impact1 | 1,036 9.153475 4.158757 0 13 impact2 | 1,036 9.397683 4.124881 0 13 -------------+--------------------------------------------------------- impacts | 1,036 1.205598 .5690975 0 3 fire_exp | 1,036 0 0 0 0 wgtcd_tr | 369 4.365854 3.767571 1 9 per_no | 1,282 1.49064 1.077912 1 13 n_mot_no | 1,282 .1918877 .3939389 0 1 -------------+--------------------------------------------------------- age | 1,282 38.34477 23.50846 0 99 sex | 1,282 1.479719 1.398106 1 9 per_typ | 1,282 2.049142 1.583952 1 8 seat_pos | 1,282 10.43526 6.470321 0 52 location | 1,282 2.526521 5.213146 0 18 -------------+--------------------------------------------------------- ejection | 1,282 .2956318 1.549333 0 9 extricat | 1,282 .273791 1.546293 0 9 alc_det | 1,282 7.482839 2.951616 1 9 drinking | 1,282 6.381435 3.148978 0 8 inj_sev | 1,282 2.601404 1.556462 0 4 -------------+--------------------------------------------------------- hospital | 1,282 .5023401 .5001896 0 1 death_mo | 1,282 2.934477 4.057404 0 12 death_da | 1,282 7.085803 9.836626 0 31 death_hr | 1,282 5.585803 9.049653 0 99 death_mn | 1,282 10.4142 16.82261 0 99 -------------+--------------------------------------------------------- lag_hrs | 1,282 581.0421 483.566 0 999 lag_mins | 1,282 60.17161 45.71218 0 99 p_cf1 | 1,282 .0452418 .3865175 0 5 p_cf2 | 1,282 .0834633 1.172169 0 38 p_cf3 | 1,282 .0382215 1.106763 0 39 -------------+--------------------------------------------------------- work_inj | 1,282 4.518721 3.967083 0 8 atst_typ | 1,282 .6973479 .7256702 0 2 st_case | 1,282 430265.1 150.2178 430001 430524 mak_mod | 1,036 40027.96 22159.43 1008 99999 vin_wgt | 765 4107.115 3256.129 82 9999 -------------+--------------------------------------------------------- death_yr | 1,282 869.6474 990.9799 0 1999 whlbs_sh | 985 2423.132 3264.549 799 9999 whlbs_lg | 985 1691.028 3605.481 0 9999 mcycl_ds | 154 8676.045 3253.913 49 9999 death_tm | 1,282 568.9945 915.0668 0 9999 -------------+--------------------------------------------------------- mod_year | 1,036 2321.444 1598.439 1962 9999 cert_no | 0 ser_tr | 0 vina_mod | 0 vin_bt | 0 -------------+--------------------------------------------------------- rest_use | 1,282 3.98752 16.8949 0 99 air_bag | 1,282 26.23947 17.65091 0 99 ej_path | 1,282 .2956318 1.549333 0 9 alc_res | 1,282 48.11466 45.84313 0 97 drugs | 1,282 8 0 8 8 -------------+--------------------------------------------------------- drug_det | 1,282 8 0 8 8 drugtst1 | 1,282 .3338534 .4717721 0 1 drugres1 | 1,282 22.72699 103.957 0 695 drugtst2 | 1,282 .0109204 .1039693 0 1 drugres2 | 1,282 6.168487 62.77716 0 695 -------------+--------------------------------------------------------- drugtst3 | 1,282 0 0 0 0 drugres3 | 1,282 0 0 0 0 by Jean Roth , jroth@nber.org , 18 Apr 2016