Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 708 42.99859 .0375823 42 43 ve_forms | 708 1.683616 .9463172 1 7 harm_ev | 708 14.00565 9.961878 1 43 man_coll | 708 1.350282 1.719811 0 6 hit_run | 708 .1355932 .4946432 0 2 -------------+--------------------------------------------------------- veh_no | 708 1.341808 .6720133 1 7 make | 708 39.0113 24.32035 1 99 model | 708 84.7613 27.04673 0 99 body_typ | 708 16.94209 28.98072 2 99 mod_year | 708 82.36299 7.181986 63 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 reg_stat | 708 50.78672 19.48549 13 99 rollover | 708 .079096 .355937 0 2 j_knife | 708 0 0 0 0 trav_sp | 708 80.32768 27.40688 0 99 -------------+--------------------------------------------------------- haz_carg | 708 0 0 0 0 tow_veh | 708 0 0 0 0 spec_use | 708 0 0 0 0 emer_use | 708 0 0 0 0 impact1 | 708 8.724576 4.47234 0 14 -------------+--------------------------------------------------------- impact2 | 708 8.819209 4.460872 0 13 deformed | 708 3.227401 2.55142 0 9 impacts | 708 .9675141 .1999039 0 2 towaway | 708 1.721751 .6384487 1 9 fire_exp | 708 0 0 0 0 -------------+--------------------------------------------------------- ocupants | 708 1.553672 1.179121 1 15 deaths | 708 .450565 .5913925 0 5 veh_cf1 | 708 2.125706 7.765828 0 31 veh_cf2 | 708 0 0 0 0 veh_man | 708 3.125706 4.778223 1 17 -------------+--------------------------------------------------------- m_harm | 708 13.45621 9.719521 1 43 wgtcd_tr | 281 6.761566 3.448097 1 9 vin_lngt | 708 26.6935 29.81913 0 99 dr_pres | 708 1.007062 .1126051 1 3 dr_drink | 708 .2415254 .4283106 0 1 -------------+--------------------------------------------------------- l_state | 708 46.60028 14.27503 6 99 l_status | 708 4.644068 2.417026 0 9 l_compl | 708 2.933616 2.062626 0 9 l_restri | 708 .8121469 2.398731 0 9 viol_chg | 708 2.213277 2.0478 0 9 -------------+--------------------------------------------------------- prev_acc | 708 7.69209 26.51798 0 99 prev_sus | 708 7.714689 26.51194 0 99 prev_dwi | 708 7.701977 26.51535 0 99 prev_spd | 708 7.75565 26.50144 0 99 prev_oth | 708 8.44774 26.32844 0 99 -------------+--------------------------------------------------------- last_mo | 708 10.27542 26.05964 0 99 last_yr | 708 41.11158 44.75857 0 99 first_mo | 708 10.29096 26.05158 0 99 first_yr | 708 40.84605 44.48225 0 99 dr_cf1 | 708 29.75565 21.24601 0 91 -------------+--------------------------------------------------------- dr_cf2 | 708 23.33475 24.17509 0 91 dr_cf3 | 708 8.586158 18.59217 0 90 st_case | 708 430262.8 359.0741 421734 430547 mak_mod | 708 3985.891 2433.043 101 9999 vin_wgt | 598 5432.849 3688.677 1444 9999 -------------+--------------------------------------------------------- whlbs_sh | 599 4110.018 4283.65 799 9999 whlbs_lg | 599 3522.674 4717.455 0 9999 mcycl_ds | 212 9102.203 2786.726 49 9999 dr_zip | 708 7346.528 24742.82 602 99999 vin | 0 -------------+--------------------------------------------------------- ser_tr | 0 vina_mod | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016