Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 638 43 0 43 43 ve_forms | 638 1.532915 .6471878 1 3 harm_ev | 638 14.21787 9.975694 1 44 man_coll | 638 1.205329 1.718905 0 6 hit_run | 638 .1959248 .5856867 0 3 -------------+--------------------------------------------------------- veh_no | 638 1.266458 .5022746 1 3 make | 638 35.52508 27.00134 1 99 model | 638 57.91693 39.08821 0 99 body_typ | 638 20.1395 31.33895 2 99 mod_year | 638 77.87618 8.278627 61 99 -------------+--------------------------------------------------------- reg_stat | 638 43.23511 4.37431 1 99 rollover | 638 .1551724 .5129989 0 2 j_knife | 638 .0203762 .1804195 0 3 trav_sp | 638 98.68966 5.538583 0 99 haz_carg | 638 .5940439 2.233559 0 9 -------------+--------------------------------------------------------- tow_veh | 638 .6222571 2.257367 0 9 spec_use | 638 .4984326 2.017778 0 9 emer_use | 638 .0031348 .0559453 0 1 impact1 | 638 16.95455 25.80684 0 99 impact2 | 638 16.81348 25.60014 0 99 -------------+--------------------------------------------------------- deformed | 638 5.105016 2.009383 0 9 impacts | 638 1.076803 .9028445 0 9 towaway | 638 1.76489 1.328786 1 9 fire_exp | 638 .007837 .0882484 0 1 ocupants | 638 11.69122 29.67274 0 99 -------------+--------------------------------------------------------- deaths | 638 .4278997 .5771464 0 4 veh_cf1 | 638 3.862069 12.01529 0 99 veh_cf2 | 638 .6426332 7.825663 0 99 veh_man | 638 6.269592 17.41233 1 99 m_harm | 638 12.65987 9.254571 1 43 -------------+--------------------------------------------------------- wgtcd_tr | 433 8.34642 2.115877 1 9 vin_lngt | 638 65.17555 41.79032 9 99 dr_pres | 638 1.007837 .0882484 1 2 dr_drink | 638 .2695925 .4440963 0 1 l_state | 638 43.34169 5.066824 25 99 -------------+--------------------------------------------------------- l_cl_veh | 638 3.269592 2.225734 0 9 l_status | 638 2.644201 2.212507 0 9 l_restri | 638 1.009404 2.709928 0 9 dr_train | 638 8.985893 .3563134 0 9 viol_chg | 638 3.10815 2.658932 0 9 -------------+--------------------------------------------------------- prev_acc | 638 10.08621 29.97016 0 99 prev_sus | 638 10.09404 29.96765 0 99 prev_dwi | 638 10.09718 29.96665 0 99 prev_spd | 638 10.09091 29.96871 0 99 prev_oth | 638 10.73511 29.7801 0 99 -------------+--------------------------------------------------------- last_mo | 638 11.99373 29.51789 0 99 last_yr | 638 35.48589 42.67576 0 99 first_mo | 638 11.89185 29.54282 0 99 first_yr | 638 35.26646 42.43793 0 99 dr_cf1 | 638 31.92947 24.98193 0 99 -------------+--------------------------------------------------------- dr_cf2 | 638 14.96082 28.1946 0 99 dr_cf3 | 638 4.525078 19.18861 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 | 638 430240.5 142.4818 430001 430494 mak_mod | 638 3610.425 2689.238 101 9900 -------------+--------------------------------------------------------- vin_wgt | 591 7596.596 3492.102 1610 9999 whlbs_sh | 591 7000.629 4244.291 866 9999 whlbs_lg | 591 6704.973 4666.537 0 9999 mcycl_ds | 400 9828.015 1282.89 72 9999 vin | 0 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016