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 | 59,495 26.96423 16.15593 1 56 veh_no | 59,495 1.435785 .7600739 1 20 -------------+--------------------------------------------------------- ocupants | 59,495 1.888781 5.484894 0 99 make | 59,495 32.47967 25.37564 1 99 model | 59,495 341.4423 303.2287 1 999 body_typ | 59,495 24.76904 26.66897 1 99 reg_stat | 59,495 30.85799 22.39747 0 99 -------------+--------------------------------------------------------- owner | 59,495 1.692344 1.359089 0 9 rollover | 59,495 .3249685 .6928196 0 2 j_knife | 59,495 .0771325 .3108573 0 3 trav_sp | 59,495 76.84068 29.35324 0 99 haz_carg | 59,495 .0603412 .7140656 0 9 -------------+--------------------------------------------------------- tow_veh | 59,495 .1157744 .6759902 0 9 v_config | 59,495 1.010253 7.167225 0 99 axles | 59,495 2.122262 13.24918 0 99 cargo_bt | 59,495 1.841936 12.36712 0 99 spec_use | 59,495 .0491302 .6114817 0 9 -------------+--------------------------------------------------------- emer_use | 59,495 .001748 .0417734 0 1 impact1 | 59,495 11.20454 13.53857 0 99 impact2 | 59,495 11.68759 14.73382 0 99 underide | 59,495 .0380872 .5111737 0 9 deformed | 59,495 5.363577 1.520893 0 9 -------------+--------------------------------------------------------- impacts | 59,495 1.328683 .7435201 0 9 towaway | 59,495 2.018842 .9672928 1 9 fire_exp | 59,495 .0298176 .1700854 0 1 veh_cf1 | 59,495 2.561476 13.14325 0 99 veh_cf2 | 59,495 1.492344 12.01734 0 99 -------------+--------------------------------------------------------- veh_man | 59,495 5.669418 12.10121 1 99 avoid | 59,495 3.209547 3.54962 0 8 m_harm | 59,495 13.86607 11.65514 1 99 deaths | 59,495 .6327591 .6184753 0 23 seq1 | 59,495 30.67957 25.31437 1 99 -------------+--------------------------------------------------------- seq2 | 59,495 20.5522 26.07165 0 99 seq3 | 59,495 11.28895 21.5725 0 99 seq4 | 59,495 5.790335 16.91782 0 99 seq5 | 59,495 2.973443 13.52955 0 99 seq6 | 59,495 1.772821 11.6673 0 99 -------------+--------------------------------------------------------- vin_lngt | 59,495 16.98612 2.652852 0 99 bus_use | 59,495 .0462392 .5850497 0 9 gvwr | 59,495 .3055383 1.053259 0 9 unittype | 59,495 1 0 1 1 st_case | 59,495 270436.5 161400.8 10001 560147 -------------+--------------------------------------------------------- mak_mod | 59,495 32821.11 25533.57 1007 99999 mod_year | 59,495 2169.49 1161.462 1927 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 -------------+--------------------------------------------------------- mcarr_id | 0 fldcd_tr | 0 whlbs_sh | 54,904 2148.835 2820.824 90 9999 whlbs_lg | 54,904 1407.042 3145.099 0 9999 mcycl_ds | 7,220 4457.202 4391.231 49 9999 -------------+--------------------------------------------------------- vin_wgt | 36,424 3931.302 2209.567 125 9999 wgtcd_tr | 21,737 3.871969 3.19191 1 9 dr_pres | 59,495 1.018993 .20062 1 9 dr_drink | 59,495 .204639 .403441 0 1 l_state | 59,259 28.90199 19.30521 1 99 -------------+--------------------------------------------------------- l_type | 59,259 1.221857 1.373598 0 9 l_status | 59,259 5.494524 1.749534 0 9 cdl_stat | 59,259 1.026207 2.411659 0 9 l_endors | 59,259 .3391721 1.577019 0 9 l_compl | 59,259 2.950404 1.219569 0 9 -------------+--------------------------------------------------------- l_restri | 59,259 1.034425 1.862542 0 9 violchg1 | 59,259 5.19273 19.39712 0 99 violchg2 | 59,259 3.730606 17.46558 0 99 violchg3 | 59,259 3.031708 16.42214 0 99 prev_acc | 59,259 9.624614 28.96634 0 99 -------------+--------------------------------------------------------- prev_sus | 59,259 3.866434 18.51006 0 99 prev_dwi | 59,259 3.63457 18.52739 0 99 prev_spd | 59,259 3.875074 18.49167 0 99 prev_oth | 59,259 3.843838 18.49845 0 99 last_mo | 59,265 6.196693 18.44531 0 99 -------------+--------------------------------------------------------- first_mo | 59,265 6.187058 18.44588 0 99 dr_cf1 | 59,495 22.59346 26.3729 0 99 dr_cf2 | 59,495 15.23444 24.67801 0 99 dr_cf3 | 59,495 8.089503 21.84401 0 99 dr_cf4 | 59,495 3.827011 17.23723 0 99 -------------+--------------------------------------------------------- dr_wgt | 59,259 400.0415 367.2677 50 999 dr_hgt | 59,259 120.7566 214.1617 48 999 last_yr | 59,265 1163.827 1972.666 0 9999 first_yr | 59,265 1163.595 1972.567 0 9999 dr_zip | 59,259 53014.3 27857.32 0 99999 -------------+--------------------------------------------------------- month | 59,495 6.728061 3.359719 1 12 harm_ev | 59,495 15.97649 11.59555 1 99 man_coll | 59,495 2.346399 5.220566 0 99 hit_run | 59,495 .0717035 .3767389 0 5 ve_forms | 59,495 1.866359 1.047839 1 20 by Jean Roth , jroth@nber.org , 18 Apr 2016