Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,333 43 0 43 43 veh_no | 1,333 1.137284 .7133839 0 4 per_no | 1,333 1.750938 2.278525 1 27 n_mot_no | 1,333 .1657914 .3720329 0 1 age | 1,333 39.85746 25.34384 0 99 -------------+--------------------------------------------------------- sex | 1,333 1.476369 1.359127 1 9 per_typ | 1,333 1.968492 1.460356 1 8 seat_pos | 1,333 11.94524 9.151503 0 52 rest_use | 1,333 4.058515 16.33838 0 99 air_bag | 1,333 26.74644 16.58327 0 99 -------------+--------------------------------------------------------- ejection | 1,333 .2858215 1.503275 0 9 ej_path | 1,333 .2850713 1.502669 0 9 extricat | 1,333 .2565641 1.498311 0 9 location | 1,333 2.220555 5.03659 0 18 drinking | 1,333 6.192048 3.278929 0 8 -------------+--------------------------------------------------------- alc_det | 1,333 7.295574 3.092122 1 9 atst_typ | 1,333 .7524381 .7219762 0 2 alc_res | 1,333 44.11253 45.80345 0 97 drugs | 1,333 8 0 8 8 drug_det | 1,333 8 0 8 8 -------------+--------------------------------------------------------- drugtst1 | 1,333 .3593398 .479987 0 1 drugres1 | 1,333 19.77569 95.03328 0 695 drugtst2 | 1,333 .0082521 .0904992 0 1 drugres2 | 1,333 4.584396 54.36952 0 695 drugtst3 | 1,333 0 0 0 0 -------------+--------------------------------------------------------- drugres3 | 1,333 0 0 0 0 inj_sev | 1,333 2.616654 1.522876 0 4 hospital | 1,333 2.417854 2.84038 0 8 death_mo | 1,333 2.807952 4.017308 0 12 death_da | 1,333 6.785446 9.750746 0 31 -------------+--------------------------------------------------------- death_hr | 1,333 5.290323 8.140132 0 99 death_mn | 1,333 9.908477 16.19028 0 99 lag_hrs | 1,333 579.7907 484.7589 0 999 lag_mins | 1,333 59.98575 46.03631 0 99 race | 1,333 .4261065 .4946952 0 1 -------------+--------------------------------------------------------- hispanic | 1,333 .8522131 .9893904 0 2 p_cf1 | 1,333 .0397599 .3518428 0 4 p_cf2 | 1,333 .0742686 .9160102 0 28 p_cf3 | 1,333 .0420105 1.403462 0 51 work_inj | 1,333 4.592648 3.956009 0 8 -------------+--------------------------------------------------------- st_case | 1,333 430259.4 148.2148 430001 430521 death_yr | 1,333 852.2131 989.3904 0 2000 death_tm | 1,333 538.9407 823.1399 0 9999 cert_no | 0 make | 1,112 41.57104 21.94622 2 99 -------------+--------------------------------------------------------- body_typ | 1,112 18.4964 28.28192 1 99 rollover | 1,112 .1223022 .4563453 0 2 tow_veh | 1,112 .323741 1.67672 0 9 spec_use | 1,112 .323741 1.67672 0 9 emer_use | 1,112 0 0 0 0 -------------+--------------------------------------------------------- impact1 | 1,112 9.004496 4.193023 0 12 impact2 | 1,112 9.106115 4.235366 0 13 impacts | 1,112 1.201439 .5855119 0 3 fire_exp | 1,112 .0152878 .1227502 0 1 mak_mod | 1,112 41826.51 22034.78 2401 99999 -------------+--------------------------------------------------------- mod_year | 1,112 2344.08 1644.261 1967 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 whlbs_sh | 1,063 2360.444 3184.392 799 9999 -------------+--------------------------------------------------------- whlbs_lg | 1,063 1623.59 3521.647 0 9999 mcycl_ds | 166 7630.398 4020.593 250 9999 vin_wgt | 932 4491.458 3436.005 280 9999 wgtcd_tr | 298 5.483221 3.535494 1 9 county | 1,333 72 0 72 72 -------------+--------------------------------------------------------- month | 1,333 6.544636 3.52262 1 12 day | 1,333 15.75244 8.940759 1 31 hour | 1,333 12.65791 7.337018 0 24 minute | 1,333 25.35634 16.54967 0 58 ve_forms | 1,333 1.576144 .651587 1 4 -------------+--------------------------------------------------------- road_fnc | 1,333 9.224306 5.255623 1 16 harm_ev | 1,333 13.78395 9.100778 1 43 man_coll | 1,333 1.378845 1.762489 0 6 sch_bus | 1,333 0 0 0 0 by Jean Roth , jroth@nber.org , 18 Apr 2016