Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 60,792 27.34041 16.05704 1 56 ve_forms | 60,792 1.781748 .9466552 1 24 harm_ev | 60,792 15.24184 10.40276 1 99 man_coll | 60,792 1.65933 1.759582 0 9 hit_run | 60,792 .0647618 .3377328 0 3 -------------+--------------------------------------------------------- veh_no | 60,792 1.390874 .6927773 1 24 make | 60,792 29.06019 23.58668 1 99 model | 60,792 38.3156 32.74246 0 99 body_typ | 60,792 22.54742 26.91225 1 99 mod_year | 60,792 79.58597 6.15801 0 99 -------------+--------------------------------------------------------- reg_stat | 60,792 31.75808 22.32921 0 99 rollover | 60,792 .2704632 .6401163 0 2 j_knife | 60,792 .067953 .30003 0 3 trav_sp | 60,792 75.46485 30.32356 0 99 haz_carg | 60,792 .1338992 1.080605 0 9 -------------+--------------------------------------------------------- tow_veh | 60,792 .1205257 .7044312 0 9 spec_use | 60,792 .0601724 .6875555 0 9 emer_use | 60,792 .0014805 .0384485 0 1 impact1 | 60,792 10.35806 13.2042 0 99 impact2 | 60,792 10.45082 13.22002 0 99 -------------+--------------------------------------------------------- deformed | 60,792 5.270266 1.675917 0 9 impacts | 60,792 1.139673 .608146 0 9 towaway | 60,792 1.952872 .9256194 1 9 fire_exp | 60,792 .0288689 .1674395 0 1 ocupants | 60,792 4.482399 16.21902 0 99 -------------+--------------------------------------------------------- deaths | 60,792 .6289314 .637185 0 21 veh_cf1 | 60,792 5.525431 21.02471 0 99 veh_cf2 | 60,792 4.502648 20.56028 0 99 veh_man | 60,792 5.739949 11.54087 1 99 m_harm | 60,792 13.48274 10.15008 1 99 -------------+--------------------------------------------------------- wgtcd_tr | 22,670 4.704367 3.614067 0 9 vin_lngt | 60,792 19.0201 19.91451 3 99 dr_pres | 60,792 1.016351 .1708151 1 9 dr_drink | 60,792 .3048098 .4603306 0 1 l_state | 60,792 29.59115 19.85927 1 99 -------------+--------------------------------------------------------- l_cl_veh | 60,792 2.665811 1.60005 0 9 l_status | 60,792 2.330915 1.464982 0 9 l_restri | 60,792 .9589913 2.072182 0 9 dr_train | 60,792 5.997812 4.033811 0 9 viol_chg | 60,792 1.013373 2.409174 0 9 -------------+--------------------------------------------------------- prev_acc | 60,792 5.064449 21.29274 0 99 prev_sus | 60,792 5.032142 21.31055 0 99 prev_dwi | 60,792 4.895397 21.326 0 99 prev_spd | 60,792 5.251382 21.26151 0 99 prev_oth | 60,792 5.148556 21.28157 0 99 -------------+--------------------------------------------------------- last_mo | 60,792 7.868881 21.02042 0 99 last_yr | 60,792 44.53561 43.21269 0 99 first_mo | 60,792 7.878027 21.02115 0 99 first_yr | 60,792 44.22199 42.92027 0 99 dr_cf1 | 60,792 25.23316 25.53987 0 99 -------------+--------------------------------------------------------- dr_cf2 | 60,792 15.44966 23.31678 0 99 dr_cf3 | 60,792 6.320914 18.91435 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 | 60,792 274273.2 160366.2 10001 560150 mak_mod | 60,792 2944.334 2374.006 101 9999 -------------+--------------------------------------------------------- vin_wgt | 41,263 4226.842 2801.359 0 9999 whlbs_sh | 41,263 2592.356 3375.91 0 9999 whlbs_lg | 41,263 1841.138 3732.581 0 9999 mcycl_ds | 11,001 6680.672 4458.673 49 9999 vin | 0 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016