Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 581 43 0 43 43 ve_forms | 581 1.609294 1.146441 1 9 harm_ev | 581 15.0241 11.18879 1 99 man_coll | 581 1.048193 1.670562 0 9 hit_run | 581 .2168675 .6140239 0 2 -------------+--------------------------------------------------------- veh_no | 581 1.304647 .7555284 1 9 make | 581 35.16351 27.99407 1 99 model | 581 60.72806 38.56461 0 99 body_typ | 581 20.99484 32.83693 1 99 mod_year | 581 77.95525 8.220122 61 99 -------------+--------------------------------------------------------- reg_stat | 581 46.48021 13.51213 43 99 rollover | 581 .1101549 .4294144 0 2 j_knife | 581 .0034423 .0586209 0 1 trav_sp | 581 99 0 99 99 haz_carg | 581 .6815835 2.383164 0 9 -------------+--------------------------------------------------------- tow_veh | 581 .8244406 2.593125 0 9 spec_use | 581 .8313253 2.598896 0 9 emer_use | 581 0 0 0 0 impact1 | 581 17.46299 26.96947 0 99 impact2 | 581 17.46988 26.97019 0 99 -------------+--------------------------------------------------------- deformed | 581 4.490534 2.62258 0 9 impacts | 581 1.067126 .8634155 0 9 towaway | 581 1.979346 1.843793 1 9 fire_exp | 581 .0017212 .041487 0 1 ocupants | 581 11.98623 30.12205 0 99 -------------+--------------------------------------------------------- deaths | 581 .4457831 .6124318 0 4 veh_cf1 | 581 4.333907 13.09009 0 99 veh_cf2 | 581 .8519793 9.152282 0 99 veh_man | 581 8.679862 22.72316 1 99 m_harm | 581 13.06713 10.42943 1 99 -------------+--------------------------------------------------------- wgtcd_tr | 389 8.529563 1.781137 1 9 vin_lngt | 581 64.6833 42.15828 7 99 dr_pres | 581 1.005164 .0717336 1 2 dr_drink | 581 .2168675 .4124667 0 1 l_state | 581 44.3167 9.581027 6 99 -------------+--------------------------------------------------------- l_cl_veh | 581 3.063683 2.284371 1 9 l_status | 581 2.657487 2.276128 1 9 l_restri | 581 1.018933 2.748288 0 9 dr_train | 581 8.802065 1.311907 0 9 viol_chg | 581 2.967298 2.714069 0 9 -------------+--------------------------------------------------------- prev_acc | 581 10.39587 30.37328 0 99 prev_sus | 581 10.40792 30.36969 0 99 prev_dwi | 581 10.4062 30.37002 0 99 prev_spd | 581 10.39587 30.37328 0 99 prev_oth | 581 11.0809 30.16613 0 99 -------------+--------------------------------------------------------- last_mo | 581 12.43373 29.87106 0 99 last_yr | 581 36.67298 42.54883 0 99 first_mo | 581 12.34251 29.89507 0 99 first_yr | 581 36.40964 42.2766 0 99 dr_cf1 | 581 30.99828 25.66928 0 99 -------------+--------------------------------------------------------- dr_cf2 | 581 10.31325 24.20398 0 99 dr_cf3 | 581 1.483649 11.86629 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 | 581 430230.1 129.4777 430001 430454 mak_mod | 581 3577.079 2787.345 106 9999 -------------+--------------------------------------------------------- vin_wgt | 540 7484.941 3595.005 1610 9999 whlbs_sh | 540 6993.835 4254.189 866 9999 whlbs_lg | 540 6702.946 4669.424 0 9999 mcycl_ds | 372 9798.495 1187.168 970 9999 vin | 0 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016