Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 558 43 0 43 43 ve_forms | 558 1.584229 .669335 1 3 harm_ev | 558 13.39964 6.536444 1 33 man_coll | 558 1.24552 1.771186 0 9 hit_run | 558 .0394265 .2438935 0 2 -------------+--------------------------------------------------------- veh_no | 558 1.292115 .5247643 1 3 make | 558 26.7043 20.02782 1 99 model | 558 54.90502 45.07293 0 99 body_typ | 558 13.40502 20.16122 2 99 mod_year | 558 74.39068 4.596234 48 99 -------------+--------------------------------------------------------- reg_stat | 558 43 0 43 43 rollover | 558 .1415771 .4974178 0 2 j_knife | 558 .0125448 .1264924 0 2 trav_sp | 0 tow_veh | 558 .0035842 .0598147 0 1 -------------+--------------------------------------------------------- spec_use | 558 .0215054 .4013933 0 9 emer_use | 558 0 0 0 0 impact1 | 558 9.037634 8.898208 0 99 impact2 | 558 9.096774 8.854172 0 99 deformed | 558 4.007168 2.105806 0 9 -------------+--------------------------------------------------------- impacts | 558 .9802867 .4378484 0 9 towaway | 558 1.679211 1.424068 1 9 fire_exp | 558 .0125448 .1113987 0 1 ocupants | 558 3.150538 12.22598 0 99 deaths | 558 .5286738 .6468279 0 5 -------------+--------------------------------------------------------- veh_cf1 | 558 1.039427 9.387445 0 99 veh_cf2 | 558 .8870968 9.33766 0 99 m_harm | 558 12.30824 7.685583 1 99 chas_tr | 383 99 0 99 99 wgtcd_tr | 413 8.523002 1.791994 1 9 -------------+--------------------------------------------------------- vin_lngt | 558 70.41935 40.8065 7 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 mcycl_ty | 0 dr_pres | 558 1.035842 .4854862 1 9 dr_drink | 558 .2007168 .400896 0 1 -------------+--------------------------------------------------------- l_state | 558 43.44265 5.975363 25 99 l_status | 558 2.937276 1.183978 1 9 l_restri | 558 .2992832 1.387958 0 9 dr_train | 558 8.935484 .7599459 0 9 viol_chg | 558 .7903226 1.15299 0 9 -------------+--------------------------------------------------------- prev_acc | 558 1.951613 13.77465 0 99 prev_sus | 558 1.962366 13.77351 0 99 prev_dwi | 558 1.976703 13.7725 0 99 prev_spd | 558 1.958781 13.77389 0 99 prev_oth | 558 2.860215 13.75139 0 99 -------------+--------------------------------------------------------- last_mo | 558 4.340502 13.89324 0 99 last_yr | 558 34.56452 40.06012 0 99 first_mo | 558 4.349462 13.90755 0 99 first_yr | 558 34.25627 39.7114 0 99 dr_cf1 | 558 25.40681 19.45398 0 99 -------------+--------------------------------------------------------- dr_cf2 | 558 7.417563 17.14934 0 99 dr_cf3 | 558 1.31362 9.237356 0 99 st_case | 558 430228.4 131.9215 430001 430462 mak_mod | 558 2725.335 2004.137 101 9900 vin_wgt | 516 8085.093 3304.11 1610 9999 -------------+--------------------------------------------------------- whlbs_sh | 516 7677.647 3943.39 866 9999 whlbs_lg | 516 7449.056 4334.513 0 9999 mcycl_ds | 395 9706.251 1656.8 75 9999 vina_mod | 0 ser_tr | 0 -------------+--------------------------------------------------------- vin | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016