Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 52,227 27.22848 16.04826 1 56 ve_forms | 52,227 1.832558 1.328546 1 38 harm_ev | 52,227 15.37015 10.4481 1 99 man_coll | 52,227 1.703582 1.77963 0 9 hit_run | 52,227 .0608689 .3281405 0 3 -------------+--------------------------------------------------------- veh_no | 52,227 1.416279 .8859295 1 38 make | 52,227 29.0206 23.23555 1 99 model | 52,227 297.2396 304.9548 1 999 body_typ | 52,227 20.21684 24.85586 1 99 mod_year | 52,227 84.80665 5.998263 26 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 | 52,227 31.8981 23.03937 0 99 rollover | 52,227 .2857143 .6555305 0 2 j_knife | 52,227 .0584755 .2770058 0 3 trav_sp | 52,227 72.83419 30.71261 0 99 -------------+--------------------------------------------------------- haz_carg | 52,227 .0794417 .8102826 0 9 tow_veh | 52,227 .1259693 .7669284 0 9 spec_use | 52,227 .0695043 .7194379 0 9 emer_use | 52,227 .0022785 .0476798 0 1 impact1 | 52,227 10.74408 13.40547 0 99 -------------+--------------------------------------------------------- impact2 | 52,227 10.89603 13.68881 0 99 deformed | 52,227 5.306604 1.586098 0 9 impacts | 52,227 1.19421 .6301615 0 9 towaway | 52,227 2.001762 1.028412 1 9 fire_exp | 52,227 .0274954 .1635233 0 1 -------------+--------------------------------------------------------- ocupants | 52,227 5.008272 17.50932 0 99 deaths | 52,227 .6295594 .6291726 0 8 veh_cf1 | 52,227 4.617229 19.1045 0 99 veh_cf2 | 52,227 3.633331 18.55793 0 99 veh_man | 52,227 5.459226 10.66335 1 99 -------------+--------------------------------------------------------- m_harm | 52,227 13.45775 10.27487 1 99 wgtcd_tr | 18,771 4.099355 3.479537 1 9 vin_lngt | 52,227 18.9555 15.96381 3 99 dr_pres | 52,227 1.014724 .1578731 1 9 dr_drink | 52,227 .259004 .438092 0 1 -------------+--------------------------------------------------------- l_state | 52,227 29.26308 19.73548 1 99 l_status | 52,227 4.90863 1.609744 0 9 l_compl | 52,227 3.000747 1.28124 0 9 l_restri | 52,227 .9786509 1.997889 0 9 viol_chg | 52,227 .9606525 2.395218 0 9 -------------+--------------------------------------------------------- prev_acc | 52,227 4.869589 20.93891 0 99 prev_sus | 52,227 4.143719 19.21569 0 99 prev_dwi | 52,227 3.942635 19.2256 0 99 prev_spd | 52,227 4.247228 19.17848 0 99 prev_oth | 52,227 4.131982 19.19632 0 99 -------------+--------------------------------------------------------- last_mo | 52,227 6.766558 19.08938 0 99 last_yr | 52,227 44.1527 45.77682 0 99 first_mo | 52,227 6.758152 19.09198 0 99 first_yr | 52,227 43.87826 45.49707 0 99 dr_cf1 | 52,227 24.61995 25.64799 0 99 -------------+--------------------------------------------------------- dr_cf2 | 52,227 15.54053 24.71429 0 99 dr_cf3 | 52,227 7.193387 21.4832 0 99 st_case | 52,227 272996.1 160337.2 10001 560099 mak_mod | 52,227 29317.84 23404.33 1001 99999 vin_wgt | 35,125 4075.742 2737.887 1444 9999 -------------+--------------------------------------------------------- whlbs_sh | 35,134 2084.77 2873.337 110 9999 whlbs_lg | 35,134 1214.53 3196.519 0 9999 mcycl_ds | 6,188 6695.261 4423.526 49 9999 dr_zip | 52,227 52945.27 28599.98 0 99999 vin | 0 -------------+--------------------------------------------------------- ser_tr | 0 vina_mod | 0 vin_bt | 0 owner | 52,227 1.729106 1.418022 0 9 v_config | 52,227 .3882666 1.407881 0 9 -------------+--------------------------------------------------------- axles | 52,227 2.938518 16.10096 0 99 cargo_bt | 52,227 1.508664 11.09065 0 99 avoid | 52,227 3.536523 3.642213 0 8 cdl_stat | 52,227 .6437283 1.880022 0 9 l_endors | 52,227 .3618243 1.676468 0 9 by Jean Roth , jroth@nber.org , 18 Apr 2016