Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 608 43 0 43 43 ve_forms | 608 1.605263 .6974455 1 4 harm_ev | 608 13.99507 9.439217 1 43 man_coll | 608 1.282895 1.66925 0 6 hit_run | 608 .1973684 .5628765 0 2 -------------+--------------------------------------------------------- veh_no | 608 1.302632 .5420016 1 4 make | 608 38.27632 25.47918 1 99 model | 608 81.55428 27.75048 0 99 body_typ | 608 19.52632 30.68594 2 99 mod_year | 608 83.25822 7.136058 63 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 reg_stat | 608 50.09211 18.63951 43 99 rollover | 608 .0805921 .3786976 0 2 j_knife | 608 0 0 0 0 trav_sp | 608 79.27796 28.48197 0 99 -------------+--------------------------------------------------------- haz_carg | 608 0 0 0 0 tow_veh | 608 0 0 0 0 spec_use | 608 0 0 0 0 emer_use | 608 0 0 0 0 impact1 | 608 9.129934 4.11225 0 14 -------------+--------------------------------------------------------- impact2 | 608 9.208882 4.1762 0 14 deformed | 608 3.286184 2.647371 0 6 impacts | 608 1.009868 .2981016 0 3 towaway | 608 1.771382 .6659797 1 9 fire_exp | 608 0 0 0 0 -------------+--------------------------------------------------------- ocupants | 608 1.575658 1.248736 0 16 deaths | 608 .4555921 .5976354 0 6 veh_cf1 | 608 2.870066 8.883906 0 31 veh_cf2 | 608 0 0 0 0 veh_man | 608 3.516447 6.096402 1 98 -------------+--------------------------------------------------------- m_harm | 608 13.3898 9.489838 1 43 wgtcd_tr | 249 6.393574 3.588416 1 9 vin_lngt | 608 28.61678 31.36162 4 99 dr_pres | 608 1.009868 .1279723 1 3 dr_drink | 608 .2467105 .4314517 0 1 -------------+--------------------------------------------------------- l_state | 608 47.77467 16.67828 1 99 l_status | 608 4.646382 2.569935 0 9 l_compl | 608 3.055921 2.308247 0 9 l_restri | 608 1.03125 2.727735 0 9 viol_chg | 608 2.199013 2.157291 0 9 -------------+--------------------------------------------------------- prev_acc | 608 10.26151 30.1955 0 99 prev_sus | 608 10.29276 30.1858 0 99 prev_dwi | 608 10.28783 30.18708 0 99 prev_spd | 608 10.43092 30.14258 0 99 prev_oth | 608 10.96217 29.98281 0 99 -------------+--------------------------------------------------------- last_mo | 608 12.46546 29.66116 0 99 last_yr | 608 42.21875 45.52744 0 99 first_mo | 608 12.35197 29.68152 0 99 first_yr | 608 41.96382 45.26709 0 99 dr_cf1 | 608 31.43914 22.98864 0 87 -------------+--------------------------------------------------------- dr_cf2 | 608 25.34211 22.26347 0 90 dr_cf3 | 608 20.99013 24.54052 0 90 st_case | 608 430227.9 130.4679 430001 430453 mak_mod | 608 3909.186 2552.928 102 9999 vin_wgt | 490 5572.404 3695.166 1444 9999 -------------+--------------------------------------------------------- whlbs_sh | 489 4108.851 4285.402 799 9999 whlbs_lg | 489 3508.172 4727.664 0 9999 mcycl_ds | 179 8747.19 3192.908 49 9999 dr_zip | 608 9885.531 28648.99 601 99999 vin | 0 -------------+--------------------------------------------------------- ser_tr | 0 vina_mod | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016