Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 63,485 27.88161 15.90762 1 56 ve_forms | 63,485 1.696669 .8977719 1 24 harm_ev | 63,485 13.74585 7.574996 1 99 man_coll | 63,485 1.577034 1.755351 0 9 hit_run | 63,485 .0327321 .2416778 0 3 -------------+--------------------------------------------------------- veh_no | 63,485 1.348334 .6520922 1 24 make | 63,485 27.54166 23.13581 1 99 model | 63,485 35.26148 36.57399 0 99 body_typ | 63,485 18.76481 22.66316 1 99 mod_year | 63,485 74.31176 6.080027 0 99 -------------+--------------------------------------------------------- reg_stat | 63,485 28.54499 18.4772 0 99 rollover | 63,485 .2787903 .6452901 0 2 j_knife | 63,485 .0647712 .268352 0 2 trav_sp | 0 tow_veh | 63,485 .0104907 .1018861 0 1 -------------+--------------------------------------------------------- spec_use | 63,485 .0171694 .2891917 0 9 emer_use | 63,485 .0016224 .040247 0 1 impact1 | 63,485 10.45001 12.68948 0 99 impact2 | 63,485 10.68255 12.81392 0 99 deformed | 63,485 5.132346 1.676475 0 9 -------------+--------------------------------------------------------- impacts | 63,485 1.147783 .6056346 0 9 towaway | 63,485 2.007293 1.119095 1 9 fire_exp | 63,485 .027093 .1623558 0 1 ocupants | 63,485 2.732204 9.957675 0 99 deaths | 63,485 .6611326 .6385943 0 20 -------------+--------------------------------------------------------- veh_cf1 | 63,485 3.678192 18.48295 0 99 veh_cf2 | 63,485 3.593006 18.48412 0 99 m_harm | 63,485 12.88755 11.0463 1 99 chas_tr | 11,344 99 0 99 99 wgtcd_tr | 25,561 5.137514 3.832454 0 9 -------------+--------------------------------------------------------- vin_lngt | 63,485 23.77694 29.95934 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 mcycl_ty | 0 dr_pres | 63,485 1.019894 .3148168 1 9 dr_drink | 63,485 .305836 .4607643 0 1 -------------+--------------------------------------------------------- l_state | 63,485 28.77993 17.67616 1 99 l_status | 63,485 3.153706 1.148976 0 9 l_restri | 63,485 .7334016 1.800703 0 9 dr_train | 63,485 6.746869 3.692679 0 9 viol_chg | 63,485 .4425297 1.410497 0 9 -------------+--------------------------------------------------------- prev_acc | 63,485 3.714358 18.06908 0 99 prev_sus | 63,485 3.565236 18.09382 0 99 prev_dwi | 63,485 3.488462 18.10719 0 99 prev_spd | 63,485 3.979034 18.03856 0 99 prev_oth | 63,485 3.801733 18.06237 0 99 -------------+--------------------------------------------------------- last_mo | 63,485 6.699031 17.94261 0 99 last_yr | 63,485 43.17492 40.16496 0 99 first_mo | 63,485 6.712515 17.9457 0 99 first_yr | 63,485 42.79205 39.82486 0 99 dr_cf1 | 63,485 22.33378 21.25852 0 99 -------------+--------------------------------------------------------- dr_cf2 | 63,485 11.69673 20.14692 0 99 dr_cf3 | 63,485 4.112751 15.17559 0 99 st_case | 63,485 279735 158911.4 10001 560206 mak_mod | 63,485 2789.427 2328.021 101 9999 vin_wgt | 45,620 4909.368 3024.26 0 9999 -------------+--------------------------------------------------------- whlbs_sh | 45,620 3303.383 3853.816 0 9999 whlbs_lg | 45,620 2659.518 4240.853 0 9999 mcycl_ds | 14,977 8665.837 2772.041 0 9999 vina_mod | 0 ser_tr | 0 -------------+--------------------------------------------------------- vin | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016