Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 60,870 27.12839 16.04429 1 56 ve_forms | 60,870 1.831871 1.415824 1 43 harm_ev | 60,870 15.11819 10.30557 1 99 man_coll | 60,870 1.696977 1.778783 0 9 hit_run | 60,870 .0634795 .3363628 0 3 -------------+--------------------------------------------------------- veh_no | 60,870 1.415936 .9297857 1 43 make | 60,870 28.85366 23.1522 1 99 model | 60,870 49.17813 35.42638 0 99 body_typ | 60,870 23.7172 27.07937 1 99 mod_year | 60,870 82.49341 6.08851 22 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 | 60,870 31.19849 22.15803 0 99 rollover | 60,870 .2732873 .6398578 0 2 j_knife | 60,870 .0636767 .2901729 0 3 trav_sp | 60,870 74.8302 30.3852 0 99 -------------+--------------------------------------------------------- haz_carg | 60,870 .0737966 .7975766 0 9 tow_veh | 60,870 .1261377 .7548766 0 9 spec_use | 60,870 .066371 .729626 0 9 emer_use | 60,870 .0016757 .0409014 0 1 impact1 | 60,870 11.06253 14.56387 0 99 -------------+--------------------------------------------------------- impact2 | 60,870 11.02502 14.55518 0 99 deformed | 60,870 5.30966 1.677581 0 9 impacts | 60,870 1.175209 .6122184 0 9 towaway | 60,870 1.981814 .9829818 1 9 fire_exp | 60,870 .0260391 .1592529 0 1 -------------+--------------------------------------------------------- ocupants | 60,870 3.692936 13.80641 0 99 deaths | 60,870 .6257105 .6258223 0 21 veh_cf1 | 60,870 3.696189 16.74813 0 99 veh_cf2 | 60,870 2.691129 16.05004 0 99 veh_man | 60,870 5.387334 10.52986 1 99 -------------+--------------------------------------------------------- m_harm | 60,870 13.46609 10.08576 1 99 wgtcd_tr | 21,770 4.336656 3.531628 1 9 vin_lngt | 60,870 19.45821 18.58517 0 99 dr_pres | 60,870 1.018088 .1770984 1 9 dr_drink | 60,870 .2787252 .4483757 0 1 -------------+--------------------------------------------------------- l_state | 60,870 29.32896 19.96378 1 99 l_status | 60,870 4.971907 1.605368 0 9 l_compl | 60,870 3.040069 1.316904 0 9 l_restri | 60,870 .974618 2.014005 0 9 viol_chg | 60,870 .8962872 2.309933 0 9 -------------+--------------------------------------------------------- prev_acc | 60,870 4.765385 20.66491 0 99 prev_sus | 60,870 4.78091 20.67744 0 99 prev_dwi | 60,870 4.592969 20.69741 0 99 prev_spd | 60,870 4.929111 20.63824 0 99 prev_oth | 60,870 4.809808 20.66075 0 99 -------------+--------------------------------------------------------- last_mo | 60,870 7.530984 20.43625 0 99 last_yr | 60,870 44.83202 44.51591 0 99 first_mo | 60,870 7.527764 20.4377 0 99 first_yr | 60,870 44.53391 44.22802 0 99 dr_cf1 | 60,870 25.27853 25.76971 0 99 -------------+--------------------------------------------------------- dr_cf2 | 60,870 15.58359 24.23909 0 99 dr_cf3 | 60,870 7.003581 20.7608 0 99 st_case | 60,870 272161.1 160198.7 10001 560114 mak_mod | 60,870 2934.544 2326.629 101 9999 vin_wgt | 41,435 3965.99 2636.404 1444 9999 -------------+--------------------------------------------------------- whlbs_sh | 41,442 2178.1 2978.582 798 9999 whlbs_lg | 41,442 1347.277 3306.363 0 9999 mcycl_ds | 8,013 6754.594 4417.849 49 9999 dr_zip | 60,870 52874.34 29200.85 0 99999 vin | 0 -------------+--------------------------------------------------------- ser_tr | 0 vina_mod | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016