Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 56,455 28.00682 15.95535 1 56 ve_forms | 56,455 1.721956 .8815944 1 18 harm_ev | 56,455 15.09923 10.32707 1 99 man_coll | 56,455 1.600124 1.76388 0 9 hit_run | 56,455 .0664069 .3463478 0 3 -------------+--------------------------------------------------------- veh_no | 56,455 1.360978 .6502564 1 18 make | 56,455 29.42418 25.04743 1 99 model | 56,455 37.43684 34.17917 0 99 body_typ | 56,455 21.66848 26.69701 1 99 mod_year | 56,455 76.29987 6.250156 1 99 -------------+--------------------------------------------------------- reg_stat | 56,454 31.18622 21.48716 0 99 rollover | 56,454 .2585468 .6259671 0 2 j_knife | 56,454 .0704822 .3103831 0 3 trav_sp | 56,455 77.00275 30.06371 0 99 haz_carg | 56,455 .1656009 1.20014 0 9 -------------+--------------------------------------------------------- tow_veh | 56,455 .5069347 1.928115 0 9 spec_use | 56,455 .4672394 1.978438 0 9 emer_use | 56,455 .0017713 .0551687 0 9 impact1 | 56,455 10.32288 12.66053 0 99 impact2 | 56,455 14.14821 21.78306 0 99 -------------+--------------------------------------------------------- deformed | 56,455 5.118271 1.747766 0 9 impacts | 56,455 1.136817 .6785775 0 9 towaway | 56,455 1.967868 1.044784 0 9 fire_exp | 56,455 .0269595 .1619666 0 1 ocupants | 56,455 4.227951 15.49623 0 99 -------------+--------------------------------------------------------- deaths | 56,455 .6317421 .645791 0 20 veh_cf1 | 56,455 4.910407 19.59355 0 99 veh_cf2 | 56,455 3.836684 19.04068 0 99 veh_man | 56,455 6.01061 13.2819 0 99 m_harm | 56,455 16.7489 19.9162 0 99 -------------+--------------------------------------------------------- wgtcd_tr | 22,593 5.638738 3.661076 0 9 vin_lngt | 56,454 21.19568 26.07617 3 99 dr_pres | 56,455 1.014295 .1798205 1 9 dr_drink | 56,455 .3052697 .4605256 0 1 l_state | 56,455 30.29677 20.02996 1 99 -------------+--------------------------------------------------------- l_cl_veh | 56,455 2.824391 1.758928 0 9 l_status | 56,455 2.383952 1.592995 0 9 l_restri | 56,455 .9613852 2.165717 0 9 dr_train | 56,455 6.299832 3.947327 0 9 viol_chg | 56,455 1.362111 2.828923 0 9 -------------+--------------------------------------------------------- prev_acc | 56,455 6.065167 23.24503 0 99 prev_sus | 56,455 5.952369 23.2755 0 99 prev_dwi | 56,455 5.877088 23.29039 0 99 prev_spd | 56,455 6.327748 23.19535 0 99 prev_oth | 56,455 6.159738 23.22816 0 99 -------------+--------------------------------------------------------- last_mo | 56,455 8.927854 22.87007 0 99 last_yr | 56,455 44.42552 41.55747 0 99 first_mo | 56,455 8.92208 22.87452 0 99 first_yr | 56,455 44.07838 41.25368 0 99 dr_cf1 | 56,455 23.97175 24.32054 0 99 -------------+--------------------------------------------------------- dr_cf2 | 56,455 12.94335 21.66434 0 99 dr_cf3 | 56,455 4.886228 16.41022 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 | 56,455 280879.6 159454.3 10001 560174 mak_mod | 56,455 2979.855 2520.272 101 9999 -------------+--------------------------------------------------------- vin_wgt | 41,299 4923.809 3108.852 0 9999 whlbs_sh | 41,300 3406.449 3920.808 0 9999 whlbs_lg | 41,300 2764.343 4317.367 0 9999 mcycl_ds | 14,132 8768.636 2613.152 0 9999 vin | 0 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016