Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 622 43 0 43 43 ve_forms | 622 1.659164 .8299378 1 6 harm_ev | 622 12.33119 5.596148 1 33 man_coll | 622 1.20418 1.524396 0 6 hit_run | 622 .0610932 .3490924 0 3 -------------+--------------------------------------------------------- veh_no | 622 1.329582 .6131092 1 6 make | 622 27.37138 20.07583 1 99 model | 622 68.45659 39.50479 0 99 body_typ | 622 12.62862 19.41451 1 99 mod_year | 622 73.81672 4.552628 57 99 -------------+--------------------------------------------------------- reg_stat | 622 42.65273 4.739424 0 96 rollover | 622 .1864952 .5623257 0 2 j_knife | 622 .0160772 .1380753 0 2 trav_sp | 0 tow_veh | 622 .0032154 .0566591 0 1 -------------+--------------------------------------------------------- spec_use | 622 .0578778 .4394338 0 6 emer_use | 622 .0032154 .0566591 0 1 impact1 | 622 9.61254 5.402275 0 99 impact2 | 622 9.752412 5.463666 0 99 deformed | 622 4.427653 1.938775 0 9 -------------+--------------------------------------------------------- impacts | 622 .9758842 .382041 0 9 towaway | 622 1.70418 .9199604 1 9 fire_exp | 622 .0080386 .0893689 0 1 ocupants | 622 4.575563 16.70074 0 99 deaths | 622 .4678457 .5854611 0 5 -------------+--------------------------------------------------------- veh_cf1 | 622 1.059486 9.719645 0 99 veh_cf2 | 622 .9549839 9.68412 0 99 m_harm | 622 10.91961 5.985487 1 33 chas_tr | 476 99 0 99 99 wgtcd_tr | 506 8.65415 1.510672 0 9 -------------+--------------------------------------------------------- vin_lngt | 622 75.38264 38.86736 5 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 | 622 1.062701 .6477443 1 9 dr_drink | 622 .1881029 .3911088 0 1 -------------+--------------------------------------------------------- l_state | 622 43.95016 7.860853 17 99 l_status | 622 2.932476 1.20062 0 9 l_restri | 622 .1945338 1.207506 0 9 dr_train | 622 8.9791 .3779943 1 9 viol_chg | 622 .8456592 1.233708 0 9 -------------+--------------------------------------------------------- prev_acc | 622 3.344051 17.89513 0 99 prev_sus | 622 3.355305 17.89334 0 99 prev_dwi | 622 3.366559 17.89153 0 99 prev_spd | 622 3.467846 17.87589 0 99 prev_oth | 622 3.921222 17.81734 0 99 -------------+--------------------------------------------------------- last_mo | 622 5.850482 17.8438 0 99 last_yr | 622 33.12379 39.80022 0 99 first_mo | 622 5.745981 17.82966 0 99 first_yr | 622 32.93569 39.58398 0 99 dr_cf1 | 622 27.07235 18.82198 0 54 -------------+--------------------------------------------------------- dr_cf2 | 622 8.046624 16.97083 0 51 dr_cf3 | 622 .7138264 5.604958 0 51 st_case | 622 430241.7 141.815 430002 430495 mak_mod | 622 2805.595 2008.172 101 9999 vin_wgt | 580 8702.019 2813.966 1610 9999 -------------+--------------------------------------------------------- whlbs_sh | 580 8388.86 3447.973 866 9999 whlbs_lg | 580 8225.884 3799.099 0 9999 mcycl_ds | 488 9765.285 1474.505 123 9999 vina_mod | 0 ser_tr | 0 -------------+--------------------------------------------------------- vin | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016