Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 62,699 27.90119 15.97086 1 56 ve_forms | 62,699 1.759374 1.210794 1 32 harm_ev | 62,699 13.59261 7.432689 1 99 man_coll | 62,699 1.672004 1.841557 0 9 hit_run | 62,699 .0383579 .263545 0 3 -------------+--------------------------------------------------------- veh_no | 62,699 1.379687 .8144283 1 32 make | 62,699 28.30921 24.07505 1 99 model | 62,699 34.04093 35.94635 0 99 body_typ | 62,699 18.75465 22.88201 1 99 mod_year | 62,699 75.14369 6.331407 0 99 -------------+--------------------------------------------------------- reg_stat | 62,698 28.86327 18.5585 0 99 rollover | 62,698 .2737248 .6405685 0 2 j_knife | 62,698 .0676258 .2723719 0 2 trav_sp | 0 tow_veh | 62,698 .013254 .1143615 0 1 -------------+--------------------------------------------------------- spec_use | 62,698 .0575138 .6769146 0 9 emer_use | 62,698 .0017066 .041276 0 1 impact1 | 62,698 9.951163 11.31354 0 99 impact2 | 62,698 13.67366 20.91092 0 99 deformed | 62,698 5.143147 1.685196 0 9 -------------+--------------------------------------------------------- impacts | 62,698 1.179766 .7909247 0 9 towaway | 62,698 2.040591 1.20779 1 9 fire_exp | 62,698 .0288526 .1673935 0 1 ocupants | 62,698 2.806405 10.34826 0 99 deaths | 62,698 .6454432 .631691 0 11 -------------+--------------------------------------------------------- veh_cf1 | 62,698 4.151121 19.63314 0 99 veh_cf2 | 62,698 4.072283 19.63584 0 99 m_harm | 62,698 15.55952 18.77162 1 99 chas_tr | 10,214 99 0 99 99 wgtcd_tr | 24,424 5.011423 3.820448 0 9 -------------+--------------------------------------------------------- vin_lngt | 62,698 20.43145 25.63314 2 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 | 62,699 1.021197 .328523 1 9 dr_drink | 62,699 .2359368 .7771866 0 9 -------------+--------------------------------------------------------- l_state | 62,699 29.22798 18.33006 1 99 l_status | 62,699 3.259956 1.365546 0 9 l_restri | 62,699 .8765531 2.061584 0 9 dr_train | 62,699 6.583757 3.820778 0 9 viol_chg | 62,699 .4724477 1.523667 0 9 -------------+--------------------------------------------------------- prev_acc | 62,699 5.784574 22.67036 0 99 prev_sus | 62,699 5.652993 22.70024 0 99 prev_dwi | 62,699 5.580041 22.71711 0 99 prev_spd | 62,699 6.069315 22.62832 0 99 prev_oth | 62,699 5.867909 22.6609 0 99 -------------+--------------------------------------------------------- last_mo | 62,699 8.721941 22.3188 0 99 last_yr | 62,699 44.70003 40.9926 0 99 first_mo | 62,699 8.718688 22.31144 0 99 first_yr | 62,699 44.33337 40.67826 0 99 dr_cf1 | 62,699 22.1797 21.66861 0 99 -------------+--------------------------------------------------------- dr_cf2 | 62,699 12.3126 20.83642 0 99 dr_cf3 | 62,699 4.583199 16.2089 0 99 st_case | 62,699 279935.6 159586.6 10001 560232 mak_mod | 62,699 2864.962 2421.161 101 9999 vin_wgt | 44,816 4823.615 3015.457 0 9999 -------------+--------------------------------------------------------- whlbs_sh | 44,816 3112.072 3744.24 0 9999 whlbs_lg | 44,816 2448.938 4121.351 0 9999 mcycl_ds | 13,862 8547.279 2864.33 0 9999 vina_mod | 0 ser_tr | 0 -------------+--------------------------------------------------------- vin | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016