Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 764 43 0 43 43 month | 764 6.608639 3.541179 1 12 ve_forms | 764 1.649215 .7094102 1 4 harm_ev | 764 14.19503 9.352563 1 43 man_coll | 764 1.442408 1.770023 0 6 -------------+--------------------------------------------------------- hit_run | 764 .1335079 .4915834 0 2 underide | 764 .4712042 2.006009 0 9 veh_no | 764 1.324607 .5579139 1 4 make | 764 40.15314 23.62061 1 99 model | 764 319.4463 304.772 1 999 -------------+--------------------------------------------------------- body_typ | 764 18.71466 29.68692 1 99 mod_year | 764 87.42277 6.799357 65 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 vin_11 | 0 vin_12 | 0 fldcd_tr | 0 -------------+--------------------------------------------------------- reg_stat | 764 46.37173 13.3297 43 99 rollover | 764 .0863874 .380209 0 2 j_knife | 764 0 0 0 0 trav_sp | 764 85.95288 26.26756 0 99 haz_carg | 764 .5065445 2.075561 0 9 -------------+--------------------------------------------------------- tow_veh | 764 .5065445 2.075561 0 9 spec_use | 764 .5065445 2.075561 0 9 emer_use | 764 0 0 0 0 impact1 | 764 9.223822 4.146834 0 13 impact2 | 764 9.278796 4.113019 0 13 -------------+--------------------------------------------------------- deformed | 764 3.651832 2.530907 0 6 impacts | 764 1.213351 .5372419 0 3 towaway | 764 1.768325 .5584962 1 3 fire_exp | 764 .0091623 .0953428 0 1 ocupants | 764 1.518325 .9839761 0 9 -------------+--------------------------------------------------------- deaths | 764 .5091623 .6132395 0 5 veh_cf1 | 764 2.160995 7.760268 0 31 veh_cf2 | 764 .0026178 .0723575 0 2 veh_man | 764 2.480366 3.76239 1 17 m_harm | 764 13.71335 9.444063 1 43 -------------+--------------------------------------------------------- wgtcd_tr | 211 5.407583 3.723125 1 9 vin_lngt | 764 16.1767 2.031581 8 17 dr_pres | 764 1.128272 .4876312 1 3 dr_drink | 764 .2460733 .4310039 0 1 l_state | 762 46.23622 13.97969 9 99 -------------+--------------------------------------------------------- l_status | 762 5.248031 2.431755 0 9 l_compl | 762 2.91601 1.987023 0 9 l_restri | 762 .7034121 2.285465 0 9 viol_chg | 762 2.326772 2.124766 0 9 prev_acc | 762 6.887139 25.20117 0 99 -------------+--------------------------------------------------------- prev_sus | 762 6.897638 25.19866 0 99 prev_dwi | 762 6.895013 25.19938 0 99 prev_spd | 762 7.001312 25.17385 0 99 prev_oth | 762 7.283465 25.11301 0 99 last_mo | 762 8.271654 25.00162 0 99 -------------+--------------------------------------------------------- last_yr | 762 27.65486 43.04779 0 99 first_mo | 762 8.133858 25.01401 0 99 first_yr | 762 27.56693 42.91306 0 99 dr_cf1 | 764 28.63482 20.5112 0 86 dr_cf2 | 764 23.58246 17.99307 0 87 -------------+--------------------------------------------------------- dr_cf3 | 764 24.71335 26.17299 0 90 st_case | 764 430271.1 157.7894 430001 430548 mak_mod | 764 40472.59 23750.99 1399 99999 vin_wgt | 616 4456.494 3416.95 137 9999 whlbs_sh | 702 2476.946 3299.644 799 9999 -------------+--------------------------------------------------------- whlbs_lg | 702 1755.533 3643.692 0 9999 mcycl_ds | 124 8030.96 3838.819 49 9999 dr_zip | 762 7396.55 24300.64 601 99999 vin | 0 ser_tr | 0 -------------+--------------------------------------------------------- vina_mod | 0 vin_bt | 0 owner | 764 2.157068 1.841402 1 9 v_config | 764 .8468586 2.491685 0 9 axles | 764 9.448953 28.9939 0 99 -------------+--------------------------------------------------------- cargo_bt | 764 9.967277 29.6587 0 99 avoid | 764 .0013089 .0361787 0 1 cdl_stat | 762 .6259843 2.291046 0 9 l_endors | 762 .6259843 2.291046 0 9 by Jean Roth , jroth@nber.org , 18 Apr 2016