Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 57,972 27.53303 16.15053 1 56 ve_forms | 57,972 1.751777 .923326 1 23 harm_ev | 57,972 15.07176 10.35962 1 99 man_coll | 57,972 1.631219 1.754522 0 9 hit_run | 57,972 .0626854 .3347529 0 3 -------------+--------------------------------------------------------- veh_no | 57,972 1.375888 .6757022 1 23 make | 57,972 29.77179 24.83195 1 99 model | 57,972 37.86561 33.34763 0 99 body_typ | 57,972 22.28083 26.85825 1 99 mod_year | 57,972 77.76449 6.03925 0 99 -------------+--------------------------------------------------------- reg_stat | 57,972 32.0686 22.64571 0 99 rollover | 57,972 .2597288 .6271951 0 2 j_knife | 57,972 .0742945 .3124388 0 3 trav_sp | 57,972 75.72202 30.55358 0 99 haz_carg | 57,972 .1320983 1.072025 0 9 -------------+--------------------------------------------------------- tow_veh | 57,972 .470572 1.842568 0 9 spec_use | 57,972 .4337611 1.908837 0 9 emer_use | 57,972 .001587 .0398056 0 1 impact1 | 57,972 9.9359 12.011 0 99 impact2 | 57,972 13.52546 21.0471 0 99 -------------+--------------------------------------------------------- deformed | 57,972 5.147071 1.707653 0 9 impacts | 57,972 1.117436 .5969293 0 9 towaway | 57,972 1.970951 1.027818 1 9 fire_exp | 57,972 .026806 .1615176 0 1 ocupants | 57,972 5.60029 19.06032 0 99 -------------+--------------------------------------------------------- deaths | 57,972 .6258884 .6256254 0 9 veh_cf1 | 57,972 5.543745 21.10911 0 99 veh_cf2 | 57,972 4.54585 20.66473 0 99 veh_man | 57,972 5.642224 11.51714 1 99 m_harm | 57,972 16.71164 19.42501 1 99 -------------+--------------------------------------------------------- wgtcd_tr | 22,513 5.34771 3.657392 0 9 vin_lngt | 57,972 19.96926 23.08323 0 99 dr_pres | 57,972 1.014076 .1772114 1 9 dr_drink | 57,972 .2979887 .4573784 0 1 l_state | 57,972 29.65473 19.78953 1 99 -------------+--------------------------------------------------------- l_cl_veh | 57,972 2.726696 1.64843 0 9 l_status | 57,972 2.310098 1.441997 0 9 l_restri | 57,972 .9624991 2.064294 0 9 dr_train | 57,972 5.93678 4.054057 0 9 viol_chg | 57,972 1.292176 2.770129 0 9 -------------+--------------------------------------------------------- prev_acc | 57,972 5.031964 21.22006 0 99 prev_sus | 57,972 4.96293 21.23969 0 99 prev_dwi | 57,972 4.855534 21.25448 0 99 prev_spd | 57,972 5.232423 21.18689 0 99 prev_oth | 57,972 5.11597 21.20824 0 99 -------------+--------------------------------------------------------- last_mo | 57,972 7.810891 20.95456 0 99 last_yr | 57,972 43.36826 42.34821 0 99 first_mo | 57,972 7.826658 20.95306 0 99 first_yr | 57,972 43.0458 42.04782 0 99 dr_cf1 | 57,972 24.10703 25.30271 0 99 -------------+--------------------------------------------------------- dr_cf2 | 57,972 14.76532 23.0429 0 99 dr_cf3 | 57,972 6.117471 18.55958 0 99 vin_1 | 0 vin_2 | 0 vin_3 | 0 -------------+--------------------------------------------------------- vin_4 | 0 vin_5 | 0 vin_6 | 0 vin_7 | 0 vin_8 | 0 -------------+--------------------------------------------------------- vin_9 | 0 vin_10 | 0 fldcd_tr | 0 st_case | 57,972 276175.1 161333.4 10001 560140 mak_mod | 57,972 3015.044 2499.316 101 9999 -------------+--------------------------------------------------------- vin_wgt | 41,220 4680.298 3039.371 0 9999 whlbs_sh | 41,220 3099.86 3748.724 0 9999 whlbs_lg | 41,220 2414.616 4134.994 0 9999 mcycl_ds | 13,011 7409.366 4176.034 49 9999 vin | 0 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016