Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 44,713 27.92906 16.1108 1 56 st_case | 44,713 279886.9 161077.1 10001 560139 veh_no | 44,713 1.410954 .7363251 1 15 ve_forms | 44,713 1.817659 1.01954 1 15 numoccs | 44,713 1.746718 4.527704 0 99 -------------+--------------------------------------------------------- day | 44,713 15.64833 8.844821 1 31 month | 44,713 6.749804 3.320184 1 12 hour | 44,713 13.17621 9.107802 0 99 minute | 44,713 28.89741 18.13884 0 99 harm_ev | 44,713 16.75016 12.60014 1 99 -------------+--------------------------------------------------------- man_coll | 44,713 2.494577 4.514937 0 99 unittype | 44,713 1 0 1 1 hit_run | 44,713 .0354036 .2698115 0 9 reg_stat | 44,713 30.72777 20.98271 0 99 owner | 44,713 1.679825 1.347552 0 9 -------------+--------------------------------------------------------- make | 44,713 34.40865 25.93367 1 99 model | 44,713 357.5198 302.2984 1 999 mak_mod | 44,713 34766.17 26087.62 1007 99999 body_typ | 44,713 26.62948 27.87892 1 99 mod_year | 44,713 2156.333 1104.156 1929 9999 -------------+--------------------------------------------------------- vin | 0 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 vin_11 | 0 vin_12 | 0 tow_veh | 44,713 .1048912 .6149066 0 9 vintype | 0 -------------+--------------------------------------------------------- vinmake | 0 vina_mod | 0 vin_bt | 0 vinmodyr | 44,042 35.31672 42.8698 0 99 vin_lngt | 44,298 16.99986 .0242266 12 17 -------------+--------------------------------------------------------- vin_wgt | 24,135 3313.369 892.3015 0 7190 wgtcd_tr | 14,095 3.052004 2.619079 1 8 whlbs_lg | 38,116 255.5247 616.2447 0 9600 whlbs_sh | 38,116 1074.025 320.8458 0 2370 ser_tr | 0 -------------+--------------------------------------------------------- fuelcode | 0 mcycl_ds | 4,258 1071.424 425.9801 49 2294 j_knife | 44,713 .0759063 .3148518 0 3 mcarr_i1 | 44,713 5.593966 18.89265 0 99 mcarr_i2 | 0 -------------+--------------------------------------------------------- mcarr_id | 0 gvwr | 44,713 .2804106 .9834265 0 9 v_config | 44,713 .9087737 6.562629 0 99 cargo_bt | 44,713 1.806387 12.05753 0 99 haz_inv | 44,713 1.002393 .0488607 1 2 -------------+--------------------------------------------------------- haz_plac | 44,713 .0053676 .126431 0 8 haz_id | 44,713 7.5941 220.1137 0 8888 haz_cno | 44,713 .0568962 2.126666 0 88 haz_rel | 44,713 .0053899 .1565431 0 8 bus_use | 44,713 .4522175 6.527599 0 99 -------------+--------------------------------------------------------- spec_use | 44,713 .4245969 6.342766 0 99 emer_use | 44,713 .0365442 .5612886 0 9 trav_sp | 44,713 577.598 471.2435 0 999 underide | 44,713 .0569186 .6112967 0 9 rollover | 44,713 .2539977 .7957205 0 9 -------------+--------------------------------------------------------- rolinloc | 44,713 .7662425 1.801217 0 9 impact1 | 44,713 13.44752 17.8413 0 99 impact2 | 44,713 17.62566 24.67054 0 99 deformed | 44,713 5.415204 1.531858 0 9 towed | 44,713 2.14441 1.036273 1 9 -------------+--------------------------------------------------------- m_harm | 44,713 14.50332 12.69281 1 99 veh_sc1 | 44,713 .8204102 8.001878 0 99 veh_sc2 | 44,713 .5673741 7.4626 0 99 fire_exp | 44,713 .0281574 .1654241 0 1 dr_pres | 44,713 .9966229 .1274685 0 9 -------------+--------------------------------------------------------- l_state | 44,538 29.52358 19.05182 -1 99 dr_zip | 44,538 52039.28 27522.37 -1 99999 l_status | 44,538 5.495779 1.729292 -1 9 l_type | 44,538 1.200346 1.319133 -1 9 cdl_stat | 44,538 3.206588 15.31142 -1 99 -------------+--------------------------------------------------------- l_endors | 44,538 .2416364 1.343354 -1 9 l_compl | 44,538 2.935336 1.164702 -1 9 l_restri | 44,538 .9982487 1.807158 -1 9 dr_hgt | 44,713 191.9699 315.6253 36 999 dr_wgt | 44,538 466.8184 391.7493 -1 999 -------------+--------------------------------------------------------- prev_acc | 44,538 9.855966 29.30892 -1 99 prev_sus | 44,538 3.455768 17.24738 -1 99 prev_dwi | 44,538 3.13759 17.24579 -1 99 prev_spd | 44,538 3.358772 17.21673 -1 99 prev_oth | 44,538 3.37889 17.21844 -1 99 -------------+--------------------------------------------------------- first_mo | 44,538 5.756208 17.40956 -1 99 first_yr | 44,538 1116.724 1887.554 -1 9999 last_mo | 44,538 5.754883 17.41071 -1 99 last_yr | 44,538 1116.97 1887.67 -1 9999 speedrel | 44,538 .3940455 1.29847 -1 9 -------------+--------------------------------------------------------- dr_sf1 | 44,713 22.60468 27.63589 0 99 dr_sf2 | 44,713 8.23879 23.10292 0 99 dr_sf3 | 44,713 3.452732 17.36163 0 99 dr_sf4 | 44,713 2.603672 15.72152 0 99 vtrafway | 44,713 1.767338 1.26812 0 9 -------------+--------------------------------------------------------- vnum_lan | 44,713 2.556192 1.141484 0 9 vspd_lim | 44,713 51.20005 15.54531 0 99 valign | 44,713 1.439045 1.027425 0 9 vprofile | 44,713 1.771923 1.667794 0 9 vpavetyp | 44,713 2.645763 1.992798 0 9 -------------+--------------------------------------------------------- vsurcond | 44,713 1.934381 8.167526 0 99 vtrafcon | 44,713 5.129247 13.94206 0 99 vtcont_f | 44,713 .7964574 1.458502 0 9 p_crash1 | 44,713 5.785879 10.3783 0 99 p_crash2 | 44,713 37.63711 28.81506 1 99 -------------+--------------------------------------------------------- p_crash3 | 44,713 11.72757 29.08838 0 99 pcrash4 | 44,713 1.477311 1.46684 0 9 pcrash5 | 44,713 2.243263 1.583168 0 9 acc_type | 44,713 43.53197 35.58441 0 99 deaths | 44,713 .6218549 .5947586 0 10 -------------+--------------------------------------------------------- dr_drink | 44,713 .2112137 .4081743 0 1 by Jean Roth , jroth@nber.org , 18 Apr 2016