Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- 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 state | 56,253 27.18763 16.24329 1 56 veh_no | 56,253 1.575863 2.905757 1 92 -------------+--------------------------------------------------------- ocupants | 56,253 1.718451 4.015571 0 99 make | 56,253 33.4689 25.64366 1 99 body_typ | 56,253 25.89172 27.36589 1 99 reg_stat | 56,253 30.28628 21.74959 0 99 owner | 56,253 1.670951 1.332411 0 9 -------------+--------------------------------------------------------- rollover | 56,253 .3251738 .6942681 0 2 j_knife | 56,253 .0749116 .2999894 0 3 trav_sp | 56,253 78.05649 28.91165 0 99 haz_inv | 56,253 1.003218 .0566331 1 2 haz_plac | 56,253 .0071818 .1424271 0 8 -------------+--------------------------------------------------------- haz_cno | 56,253 .0443887 1.752895 0 88 haz_rel | 56,253 .0069685 .1734978 0 8 tow_veh | 56,253 .0934528 .5165903 0 9 v_config | 56,253 .7728477 5.304541 0 99 axles | 56,253 1.755746 11.84568 0 99 -------------+--------------------------------------------------------- cargo_bt | 56,253 1.794944 12.15633 0 99 spec_use | 56,253 .0305406 .4489816 0 9 emer_use | 56,253 .0018843 .0433685 0 1 impact1 | 56,253 11.35977 13.99427 0 99 impact2 | 56,253 11.79551 15.09723 0 99 -------------+--------------------------------------------------------- underide | 56,253 .0307361 .4289416 0 9 deformed | 56,253 5.381189 1.481253 0 9 impacts | 56,253 1.320356 .7172395 0 9 towaway | 56,253 1.982312 .8278275 1 9 fire_exp | 56,253 .0295984 .1694782 0 1 -------------+--------------------------------------------------------- veh_cf1 | 56,253 2.554584 13.01719 0 99 veh_cf2 | 56,253 1.441328 11.8251 0 99 veh_man | 56,253 5.421755 10.58943 1 99 avoid | 56,253 3.535776 3.608551 0 8 m_harm | 56,253 14.01833 11.75214 1 99 -------------+--------------------------------------------------------- deaths | 56,253 .6346506 .60526 0 8 seq1 | 56,253 31.26919 25.48174 1 99 seq2 | 56,253 20.84125 25.6079 0 99 seq3 | 56,253 11.16577 20.45793 0 99 seq4 | 56,253 5.249036 14.63326 0 99 -------------+--------------------------------------------------------- seq5 | 56,253 2.129042 9.552856 0 99 seq6 | 56,253 .7549108 5.764969 0 99 vin_lngt | 56,253 16.92859 .6848093 3 17 bus_use | 56,253 .0316605 .4565415 0 9 gvwr | 56,253 .2808028 .9488485 0 9 -------------+--------------------------------------------------------- unittype | 56,253 1 0 1 1 mcarr_i1 | 56,253 5.569801 18.75384 0 99 st_case | 56,253 272644.5 162300.2 10001 560137 haz_id | 56,253 9.560379 239.8715 0 8888 mak_mod | 56,253 33820.51 25802.27 1009 99999 -------------+--------------------------------------------------------- mod_year | 56,253 2142.027 1059.72 1924 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 mcarr_i2 | 0 -------------+--------------------------------------------------------- fldcd_tr | 0 mcarr_id | 0 model | 56,253 351.6085 302.6173 1 999 whlbs_sh | 51,117 1711.198 2300.562 0 9999 whlbs_lg | 51,117 955.0819 2563.354 0 9999 -------------+--------------------------------------------------------- mcycl_ds | 7,785 4121.89 4287.694 49 9999 vin_wgt | 33,021 3845.809 2080.082 0 9999 wgtcd_tr | 20,791 3.847963 3.187053 1 9 dr_pres | 56,253 1.020443 .2126823 1 9 dr_drink | 56,253 .2189928 .4135674 0 1 -------------+--------------------------------------------------------- l_state | 56,080 28.87867 19.23628 1 99 l_type | 56,080 1.215531 1.368184 0 9 l_status | 56,080 5.447575 1.808815 0 9 cdl_stat | 56,080 1.015977 2.398293 0 9 l_endors | 56,080 .248734 1.360889 0 9 -------------+--------------------------------------------------------- l_compl | 56,080 2.927817 1.22051 0 9 l_restri | 56,080 1.010859 1.845831 0 9 violchg1 | 56,080 4.219775 16.9909 0 99 violchg2 | 56,080 2.795346 14.82958 0 99 violchg3 | 56,080 2.106651 13.54814 0 99 -------------+--------------------------------------------------------- prev_acc | 56,080 9.847664 29.29555 0 99 prev_sus | 56,080 4.133096 19.04913 0 99 prev_dwi | 56,080 3.856063 19.0717 0 99 prev_spd | 56,080 4.10189 19.03389 0 99 prev_oth | 56,080 4.071131 19.04111 0 99 -------------+--------------------------------------------------------- last_mo | 56,080 6.400178 18.96812 0 99 first_mo | 56,080 6.403138 18.96925 0 99 dr_cf1 | 56,253 22.40083 26.26991 0 99 dr_cf2 | 56,253 15.61883 24.75437 0 99 dr_cf3 | 56,253 7.979326 21.41055 0 99 -------------+--------------------------------------------------------- dr_cf4 | 56,253 3.491903 16.23566 0 99 dr_wgt | 56,080 403.8232 367.9592 40 999 dr_hgt | 56,080 121.0928 214.7774 36 999 last_yr | 56,080 1175.046 2017.174 0 9999 first_yr | 56,080 1174.804 2017.074 0 9999 -------------+--------------------------------------------------------- dr_zip | 56,080 52725.25 27866.78 0 99999 month | 56,253 6.62114 3.359066 1 12 harm_ev | 56,253 16.1636 11.66393 1 99 man_coll | 56,253 2.27227 5.45411 0 99 hit_run | 56,253 .075676 .3876894 0 5 -------------+--------------------------------------------------------- ve_forms | 56,253 2.14721 4.941412 1 92 by Jean Roth , jroth@nber.org , 18 Apr 2016