Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 94,338 26.86614 16.31042 1 56 veh_no | 94,338 1.484863 2.801114 0 92 per_no | 94,338 1.705697 2.039075 1 66 n_mot_no | 94,338 .0651063 .4082909 0 99 age | 94,338 37.87713 21.5668 0 99 -------------+--------------------------------------------------------- sex | 94,338 1.437968 1.006827 1 9 per_typ | 94,338 1.62398 1.103573 1 19 seat_pos | 94,338 14.17171 12.38763 0 99 rest_use | 94,338 10.09224 26.97008 0 99 air_bag | 94,338 20.82203 18.02972 0 99 -------------+--------------------------------------------------------- ejection | 94,338 1.210392 2.709964 0 9 ej_path | 94,338 .9062838 2.632801 0 9 extricat | 94,338 .1950222 .9528903 0 9 location | 94,338 .6740126 3.481832 0 99 drinking | 94,338 4.164515 3.994684 0 9 -------------+--------------------------------------------------------- alc_det | 94,338 7.893744 2.432033 1 9 atst_typ | 94,338 4.786883 20.07708 0 99 alc_res | 94,338 63.33553 43.66334 0 99 drugs | 94,338 6.032426 3.520407 0 9 drug_det | 94,338 7.580031 1.52906 1 8 -------------+--------------------------------------------------------- drugtst1 | 94,338 .75574 1.885219 0 9 drugres1 | 94,338 116.6559 300.3451 0 999 drugtst2 | 94,338 .3525303 1.629034 0 9 drugres2 | 94,338 49.06437 202.4088 0 999 drugtst3 | 94,338 .3281604 1.618713 0 9 -------------+--------------------------------------------------------- drugres3 | 94,338 40.39264 191.8576 0 999 inj_sev | 94,338 2.534122 1.710384 0 9 hospital | 94,338 .6074752 1.082755 0 9 death_mo | 94,338 3.04468 5.558723 0 99 death_da | 94,338 6.966779 10.38696 0 99 -------------+--------------------------------------------------------- death_hr | 94,338 7.75398 16.93986 0 99 death_mn | 94,338 14.2755 22.84452 0 99 lag_hrs | 94,338 602.1616 482.7295 0 999 lag_mins | 94,338 66.52915 41.11503 0 99 race | 94,338 6.140336 22.67822 0 99 -------------+--------------------------------------------------------- hispanic | 94,338 8.193962 22.7975 0 99 p_cf1 | 94,338 .741663 6.371288 0 99 p_cf2 | 94,338 .4191842 5.368902 0 99 p_cf3 | 94,338 .2713965 4.904144 0 99 work_inj | 94,338 5.009074 3.924762 0 9 -------------+--------------------------------------------------------- doa | 94,338 1.823496 3.085374 0 9 st_case | 94,338 269443.1 162965 10001 560137 death_yr | 94,338 879.8016 1006.009 0 9999 death_tm | 94,338 789.6735 1711.593 0 9999 cert_no | 0 -------------+--------------------------------------------------------- make | 88,407 30.94524 24.16259 1 99 body_typ | 88,407 22.61828 24.6152 1 99 rollover | 88,136 .3740015 .7246778 0 2 tow_veh | 88,407 .0725508 .4550299 0 9 spec_use | 88,407 .0317509 .4350423 0 9 -------------+--------------------------------------------------------- emer_use | 88,407 .0020247 .0449516 0 1 impact1 | 88,407 11.09283 14.13946 0 99 impact2 | 88,407 11.56889 15.35654 0 99 impacts | 88,407 1.325517 .7509638 0 9 fire_exp | 88,407 .0279616 .1648637 0 1 -------------+--------------------------------------------------------- mak_mod | 88,407 31275.24 24293.85 1009 99999 mod_year | 88,407 2101.3 898.2707 1924 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 -------------+--------------------------------------------------------- whlbs_sh | 82,645 1639.082 2135.976 0 9999 whlbs_lg | 82,645 835.3472 2396.089 0 9999 mcycl_ds | 9,610 4683.539 4421.146 49 9999 vin_wgt | 55,409 3825.117 1981.819 0 9999 wgtcd_tr | 31,109 3.542608 3.063097 1 9 -------------+--------------------------------------------------------- county | 94,338 90.31896 94.52924 0 840 month | 94,338 6.628315 3.362356 1 12 day | 94,338 15.58367 8.865482 1 31 hour | 94,338 13.33728 9.231888 0 99 minute | 94,338 28.80737 18.37654 0 99 -------------+--------------------------------------------------------- road_fnc | 94,338 8.191938 6.777728 1 99 harm_ev | 94,338 15.64063 11.60338 1 99 man_coll | 94,338 2.10721 4.990296 0 99 sch_bus | 94,338 .0064343 .0799561 0 1 ve_forms | 94,338 2.104104 5.012228 1 92 by Jean Roth , jroth@nber.org , 18 Apr 2016