Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 64,762 27.84644 15.9215 1 56 ve_forms | 64,762 1.735122 .841643 1 18 harm_ev | 64,762 13.60922 7.417309 1 99 man_coll | 64,762 1.747892 1.858113 0 9 hit_run | 64,762 .0296007 .2280582 0 3 -------------+--------------------------------------------------------- veh_no | 64,762 1.367561 .6353564 1 18 make | 64,762 27.82073 24.03262 1 99 model | 64,762 36.60597 37.4556 0 99 body_typ | 64,762 18.90156 22.68422 1 99 mod_year | 64,762 73.53735 6.036035 0 99 -------------+--------------------------------------------------------- reg_stat | 64,762 28.33151 18.00367 0 99 rollover | 64,762 .2642908 .63443 0 2 j_knife | 0 trav_sp | 64,762 77.34452 29.96506 0 99 tow_veh | 64,762 .0071029 .0839797 0 1 -------------+--------------------------------------------------------- spec_use | 64,762 .0185294 .3245099 0 9 emer_use | 64,762 .0016985 .0411785 0 1 impact1 | 64,762 10.45167 12.31387 0 99 impact2 | 64,762 10.9901 13.2786 0 99 deformed | 64,762 5.139727 1.691328 0 9 -------------+--------------------------------------------------------- impacts | 64,762 1.179426 .6309237 0 9 towaway | 64,762 2.055727 1.279888 1 9 fire_exp | 64,762 .0273926 .1632258 0 1 ocupants | 64,762 2.363392 8.082317 0 99 deaths | 64,762 .6481424 .63941 0 10 -------------+--------------------------------------------------------- veh_cf1 | 64,762 4.365245 20.10647 0 99 veh_cf2 | 64,762 4.285059 20.1114 0 99 m_harm | 64,762 13.08371 11.4382 1 99 chas_tr | 13,651 99 0 99 99 wgtcd_tr | 27,924 5.477689 3.819135 0 9 -------------+--------------------------------------------------------- vin_lngt | 64,762 26.80065 32.85343 3 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 | 64,762 1.023563 .3596356 1 9 dr_drink | 64,762 .2868812 .4523091 0 1 -------------+--------------------------------------------------------- l_state | 64,762 28.71503 17.70645 1 99 l_status | 64,762 3.136253 1.130235 0 9 l_restri | 64,762 .6992526 1.74479 0 9 dr_train | 64,762 6.894691 3.594323 0 9 viol_chg | 64,762 .4445817 1.438483 0 9 -------------+--------------------------------------------------------- prev_acc | 64,762 4.089528 19.00504 0 99 prev_sus | 64,762 3.936846 19.02813 0 99 prev_dwi | 64,762 3.865013 19.03787 0 99 prev_spd | 64,762 4.350344 18.97143 0 99 prev_oth | 64,762 4.181789 18.99671 0 99 -------------+--------------------------------------------------------- last_mo | 64,762 7.056762 18.83093 0 99 last_yr | 64,762 42.50581 39.84049 0 99 first_mo | 64,762 7.020938 18.83578 0 99 first_yr | 64,762 42.12673 39.50421 0 99 dr_cf1 | 64,762 21.86172 21.40635 0 99 -------------+--------------------------------------------------------- dr_cf2 | 64,762 11.35867 20.17961 0 99 dr_cf3 | 64,762 4.075924 15.34548 0 99 st_case | 64,762 279371.8 159041.4 10001 560199 mak_mod | 64,762 2818.679 2417.942 100 9999 vin_wgt | 47,206 5210.121 3136.079 0 9999 -------------+--------------------------------------------------------- whlbs_sh | 47,206 3671.014 4037.744 0 9999 whlbs_lg | 47,206 3065.041 4440.276 0 9999 mcycl_ds | 16,924 8930.133 2530.581 0 9999 vina_mod | 0 ser_tr | 0 -------------+--------------------------------------------------------- vin | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016