Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 58,271 27.53886 16.03258 1 56 ve_forms | 58,271 1.82717 1.470541 1 36 harm_ev | 58,271 15.06353 10.1766 1 99 man_coll | 58,271 1.650512 1.736206 0 9 hit_run | 58,271 .0620892 .331084 0 3 -------------+--------------------------------------------------------- veh_no | 58,271 1.413636 .9569337 1 36 make | 58,271 29.65065 24.18399 1 99 model | 58,271 38.93055 33.22988 0 99 body_typ | 58,271 22.98776 27.31656 1 99 mod_year | 58,271 78.85473 6.140975 9 99 -------------+--------------------------------------------------------- reg_stat | 58,271 32.13617 22.50259 0 99 rollover | 58,271 .2526643 .6213277 0 2 j_knife | 58,271 .0755607 .3174007 0 3 trav_sp | 58,271 75.9145 30.42716 0 99 haz_carg | 58,271 .1319181 1.071215 0 9 -------------+--------------------------------------------------------- tow_veh | 58,271 .1274734 .7162236 0 9 spec_use | 58,271 .0598411 .6833268 0 9 emer_use | 58,271 .0018191 .0426123 0 1 impact1 | 58,271 10.13877 12.2442 0 99 impact2 | 58,271 10.35311 12.62337 0 99 -------------+--------------------------------------------------------- deformed | 58,271 5.182938 1.703497 0 9 impacts | 58,271 1.144617 .5831615 0 9 towaway | 58,271 1.956634 .978606 1 9 fire_exp | 58,271 .0254501 .157489 0 1 ocupants | 58,271 5.127233 17.925 0 99 -------------+--------------------------------------------------------- deaths | 58,271 .618541 .6298306 0 7 veh_cf1 | 58,271 5.540612 21.14485 0 99 veh_cf2 | 58,271 4.564672 20.70446 0 99 veh_man | 58,270 5.620628 11.37758 1 99 m_harm | 58,271 13.54509 10.02247 1 99 -------------+--------------------------------------------------------- wgtcd_tr | 21,133 5.263048 3.63171 0 9 vin_lngt | 58,271 19.35985 21.23159 3 99 dr_pres | 58,271 1.013043 .1481009 1 9 dr_drink | 58,271 .287021 .4523753 0 1 l_state | 58,271 29.67761 19.72783 1 99 -------------+--------------------------------------------------------- l_cl_veh | 58,271 2.687598 1.574907 0 9 l_status | 58,271 2.309588 1.432486 0 9 l_restri | 58,271 .9654888 2.034943 0 9 dr_train | 58,271 5.755299 4.099554 0 9 viol_chg | 58,271 .9761459 2.368052 0 9 -------------+--------------------------------------------------------- prev_acc | 58,271 4.846871 20.82878 0 99 prev_sus | 58,271 4.787201 20.84346 0 99 prev_dwi | 58,271 4.673577 20.86242 0 99 prev_spd | 58,271 5.038681 20.79723 0 99 prev_oth | 58,271 4.931716 20.81725 0 99 -------------+--------------------------------------------------------- last_mo | 58,271 7.664104 20.57802 0 99 last_yr | 58,271 44.14163 42.73363 0 99 first_mo | 58,271 7.669939 20.57719 0 99 first_yr | 58,271 43.82358 42.43965 0 99 dr_cf1 | 58,271 24.74303 25.49667 0 99 -------------+--------------------------------------------------------- dr_cf2 | 58,271 15.15505 23.25679 0 99 dr_cf3 | 58,271 6.334197 18.99568 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 | 58,271 276224.8 160148.2 10002 560136 mak_mod | 58,271 3003.996 2434.076 101 9999 -------------+--------------------------------------------------------- vin_wgt | 41,423 4437.808 2935.922 0 9999 whlbs_sh | 41,423 2809.909 3555.821 0 9999 whlbs_lg | 41,423 2094.803 3923.313 0 9999 mcycl_ds | 11,955 7037.857 4333.224 49 9999 vin | 0 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016