Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 55,106 27.53056 16.03681 1 56 ve_forms | 55,106 1.743186 .9914027 1 22 harm_ev | 55,106 15.12774 10.36834 1 99 man_coll | 55,106 1.582314 1.733717 0 9 hit_run | 55,106 .0623526 .3337952 0 3 -------------+--------------------------------------------------------- veh_no | 55,106 1.371593 .7053516 1 22 make | 55,106 29.30283 24.5491 1 99 model | 55,106 37.39805 33.58533 0 99 body_typ | 55,106 22.0578 26.73588 1 99 mod_year | 55,106 76.87001 6.025647 9 99 -------------+--------------------------------------------------------- reg_stat | 55,106 31.2381 21.95577 0 99 rollover | 55,106 .2622582 .6301249 0 9 j_knife | 55,106 .0740754 .3148799 0 3 trav_sp | 55,106 75.86442 30.45968 0 99 haz_carg | 55,106 .1507277 1.147201 0 9 -------------+--------------------------------------------------------- tow_veh | 55,106 .4894748 1.886443 0 9 spec_use | 55,106 .4659928 1.974167 0 9 emer_use | 55,106 .0018147 .0425608 0 1 impact1 | 55,106 10.10957 12.30079 0 99 impact2 | 55,106 13.91812 21.55865 0 99 -------------+--------------------------------------------------------- deformed | 55,106 5.134087 1.737309 0 9 impacts | 55,106 1.125086 .6313755 0 9 towaway | 55,106 2.020796 1.193456 1 9 fire_exp | 55,106 .0258411 .1588911 0 2 ocupants | 55,106 5.464868 18.7131 0 99 -------------+--------------------------------------------------------- deaths | 55,106 .6326534 .6382651 0 11 veh_cf1 | 55,106 4.850978 19.58394 0 99 veh_cf2 | 55,106 3.846205 19.06374 0 99 veh_man | 55,106 5.614543 11.25241 0 99 m_harm | 55,106 16.73126 19.76332 1 99 -------------+--------------------------------------------------------- wgtcd_tr | 21,705 5.493941 3.652965 0 9 vin_lngt | 55,104 20.35259 24.35887 3 99 dr_pres | 55,106 1.014753 .179374 1 9 dr_drink | 55,106 .2995681 .458073 0 1 l_state | 55,106 29.76135 19.89187 1 99 -------------+--------------------------------------------------------- l_cl_veh | 55,106 2.847712 1.715475 0 9 l_status | 55,106 2.346677 1.516297 0 9 l_restri | 55,106 .9626538 2.113455 0 9 dr_train | 55,106 6.213516 3.965082 0 9 viol_chg | 55,106 1.319112 2.797783 0 9 -------------+--------------------------------------------------------- prev_acc | 55,106 5.348129 21.88644 0 99 prev_sus | 55,106 5.26919 21.90764 0 99 prev_dwi | 55,106 5.176315 21.92123 0 99 prev_spd | 55,106 5.581915 21.8454 0 99 prev_oth | 55,106 5.450278 21.87123 0 99 -------------+--------------------------------------------------------- last_mo | 55,106 8.136464 21.58631 0 99 last_yr | 55,106 43.20602 41.95843 0 99 first_mo | 55,106 8.142634 21.58714 0 99 first_yr | 55,106 42.87809 41.65667 0 99 dr_cf1 | 55,106 24.26295 25.34954 0 99 -------------+--------------------------------------------------------- dr_cf2 | 55,106 14.15525 22.95369 0 99 dr_cf3 | 55,106 5.98521 18.59821 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 | 55,106 276098.5 160232.6 10001 560152 mak_mod | 55,106 2967.682 2469.635 101 9999 -------------+--------------------------------------------------------- vin_wgt | 39,728 4783.498 3074.978 0 9999 whlbs_sh | 39,729 3234.797 3828.682 0 9999 whlbs_lg | 39,729 2572.283 4218.224 0 9999 mcycl_ds | 12,931 7637.17 4051.299 49 9999 vin | 0 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016