Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 59,292 27.11012 16.09059 1 56 ve_forms | 59,292 1.827903 1.326953 1 38 harm_ev | 59,292 15.23426 10.43005 1 99 man_coll | 59,292 1.69608 1.790608 0 9 hit_run | 59,292 .0667038 .3442678 0 3 -------------+--------------------------------------------------------- veh_no | 59,292 1.413951 .8843307 1 38 make | 59,292 28.9891 23.0044 1 99 model | 59,292 48.63634 34.71566 0 99 body_typ | 59,292 23.80522 26.88082 1 99 mod_year | 59,292 83.29456 6.013083 23 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 | 59,292 31.28274 22.34579 0 99 rollover | 59,292 .2766478 .6439088 0 2 j_knife | 59,292 .0592491 .2775936 0 3 trav_sp | 59,292 74.93868 30.3322 0 99 -------------+--------------------------------------------------------- haz_carg | 59,292 .0716286 .7844648 0 9 tow_veh | 59,292 .1196957 .7338177 0 9 spec_use | 59,292 .0716454 .7485646 0 9 emer_use | 59,292 .0018552 .0430327 0 1 impact1 | 59,292 11.06033 14.74746 0 99 -------------+--------------------------------------------------------- impact2 | 59,292 11.07358 14.81178 0 99 deformed | 59,292 5.306584 1.663555 0 9 impacts | 59,292 1.174543 .5993235 0 9 towaway | 59,292 1.986609 1.007882 1 9 fire_exp | 59,292 .0275585 .1637055 0 1 -------------+--------------------------------------------------------- ocupants | 59,292 3.649126 13.63422 0 99 deaths | 59,292 .6262902 .6255502 0 10 veh_cf1 | 59,292 3.670512 16.60287 0 99 veh_cf2 | 59,292 2.628095 15.86188 0 99 veh_man | 59,292 5.112309 9.335594 1 99 -------------+--------------------------------------------------------- m_harm | 59,292 13.41732 10.10881 1 99 wgtcd_tr | 21,358 4.210366 3.500057 1 9 vin_lngt | 59,292 19.43659 18.00954 0 99 dr_pres | 59,292 1.017136 .1759038 1 9 dr_drink | 59,292 .2856203 .4517132 0 1 -------------+--------------------------------------------------------- l_state | 59,292 29.2627 19.90347 1 99 l_status | 59,292 4.935 1.652654 0 9 l_compl | 59,291 3.022347 1.328701 0 9 l_restri | 59,292 .9783782 2.017867 0 9 viol_chg | 59,292 .993844 2.448294 0 9 -------------+--------------------------------------------------------- prev_acc | 59,292 4.822843 20.80441 0 99 prev_sus | 59,292 4.770273 20.61695 0 99 prev_dwi | 59,292 4.568357 20.64038 0 99 prev_spd | 59,292 4.904321 20.58223 0 99 prev_oth | 59,292 4.794812 20.60249 0 99 -------------+--------------------------------------------------------- last_mo | 59,292 7.530105 20.41753 0 99 last_yr | 59,292 45.69772 44.9623 0 99 first_mo | 59,292 7.539145 20.42442 0 99 first_yr | 59,292 45.39164 44.66864 0 99 dr_cf1 | 59,292 24.82939 25.63791 0 99 -------------+--------------------------------------------------------- dr_cf2 | 59,292 15.51584 24.40388 0 99 dr_cf3 | 59,292 6.923936 20.77409 0 99 st_case | 59,292 271942.8 160678.2 10001 560107 mak_mod | 59,292 2947.547 2311.708 101 9999 vin_wgt | 39,657 3946.008 2622.883 999 9999 -------------+--------------------------------------------------------- whlbs_sh | 39,657 2120.984 2915.563 798 9999 whlbs_lg | 39,657 1273.498 3239.136 0 9999 mcycl_ds | 7,668 6442.533 4500.214 49 9999 dr_zip | 59,292 52827.77 28966.77 0 99999 vin | 0 -------------+--------------------------------------------------------- ser_tr | 0 vina_mod | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016