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 | 45,540 27.63766 16.13244 1 56 veh_no | 45,540 1.431467 .9889829 1 30 -------------+--------------------------------------------------------- numoccs | 45,540 1.623101 2.706213 0 99 make | 45,540 33.55984 25.49682 1 99 model | 45,540 349.2589 297.835 1 999 body_typ | 45,540 25.85011 27.40418 1 99 reg_stat | 45,540 30.55516 21.20918 0 99 -------------+--------------------------------------------------------- owner | 45,540 1.626856 1.274749 0 9 rollover | 45,540 .3347167 1.096528 0 9 j_knife | 45,540 .0652394 .2844705 0 3 trav_sp | 45,540 585.3777 469.7434 0 999 haz_inv | 45,540 1.002415 .0490885 1 2 -------------+--------------------------------------------------------- haz_plac | 45,540 .0063022 .158441 0 8 haz_cno | 45,540 .0634607 2.262727 0 88 haz_rel | 45,540 .0054458 .1590951 0 8 tow_veh | 45,540 .0728371 .4021124 0 9 v_config | 45,540 .5985727 4.175876 0 99 -------------+--------------------------------------------------------- cargo_bt | 45,540 1.515744 11.07437 0 99 hit_run | 45,540 .0277778 .1736919 0 9 rolinloc | 45,540 .7621651 1.792596 0 9 spec_use | 45,540 .0291831 .4424354 0 9 emer_use | 45,540 .0115064 .3007114 0 9 -------------+--------------------------------------------------------- impact1 | 45,540 11.64436 14.6506 0 99 impact2 | 45,540 12.15529 15.96368 0 99 underide | 45,540 .0379447 .4795479 0 9 deformed | 45,540 5.417721 1.517277 0 9 impacts | 45,540 1.320356 .7217046 0 9 -------------+--------------------------------------------------------- towed | 45,540 2.12321 .9866994 1 9 fire_exp | 45,540 .029271 .1685669 0 1 veh_cf1 | 45,540 1.302218 10.25228 0 99 veh_cf2 | 45,540 .9950812 9.823403 0 99 veh_man | 45,540 5.516425 11.29415 1 99 -------------+--------------------------------------------------------- avoid | 45,540 3.561353 3.629349 0 8 m_harm | 45,540 14.31735 12.20184 1 99 deaths | 45,540 .636693 .6049941 0 11 seq1 | 45,540 31.68623 25.60733 1 99 seq2 | 45,540 21.4117 25.73047 0 99 -------------+--------------------------------------------------------- seq3 | 45,540 11.75852 20.90999 0 99 seq4 | 45,540 5.702877 15.23048 0 99 seq5 | 45,540 2.403513 10.17613 0 99 seq6 | 45,540 .9406895 6.416307 0 99 vin_lngt | 45,540 16.93208 .6837629 5 17 -------------+--------------------------------------------------------- bus_use | 45,540 .0295345 .4325742 0 9 gvwr | 45,540 .2331796 .84618 0 9 unittype | 45,540 1 0 1 1 mcarr_i1 | 45,540 4.666645 17.19465 0 99 st_case | 45,540 276999.6 161263.9 10001 560116 -------------+--------------------------------------------------------- haz_id | 45,540 8.583619 236.7607 0 9188 mak_mod | 45,540 33909.1 25645.51 1006 99999 mod_year | 45,540 2145.112 1066.176 1929 9999 vina_mod | 0 ser_tr | 0 -------------+--------------------------------------------------------- vin_bt | 0 mcarr_i2 | 0 fldcd_tr | 0 mcarr_id | 0 whlbs_sh | 41,191 1539.163 1993.435 0 9999 -------------+--------------------------------------------------------- whlbs_lg | 41,191 760.0568 2233.084 0 9999 mcycl_ds | 6,424 4008.959 4221.79 49 9999 vin_wgt | 26,909 3823.991 2001.974 0 9999 wgtcd_tr | 16,420 3.68581 3.116709 1 9 dr_pres | 45,540 .9979139 .11467 0 9 -------------+--------------------------------------------------------- dr_drink | 45,540 .2284805 .4198583 0 1 l_state | 45,382 29.10169 18.77253 1 99 l_type | 45,382 1.189414 1.295312 0 9 l_status | 45,382 5.482218 1.746394 0 9 cdl_stat | 45,382 .9502446 2.322957 0 9 -------------+--------------------------------------------------------- l_endors | 45,382 .2202635 1.286628 0 9 l_compl | 45,382 2.920916 1.158978 0 9 l_restri | 45,382 .9754969 1.779193 0 9 violchg1 | 45,382 3.833877 16.20843 0 99 violchg2 | 45,382 2.443259 13.70756 0 99 -------------+--------------------------------------------------------- violchg3 | 45,382 1.856683 12.63949 0 99 speedrel | 45,540 .4226834 1.383911 0 9 prev_acc | 45,382 9.617778 28.97937 0 99 prev_sus | 45,382 3.549623 17.58037 0 99 prev_dwi | 45,382 3.263475 17.58547 0 99 -------------+--------------------------------------------------------- prev_spd | 45,382 3.494491 17.5541 0 99 prev_oth | 45,382 3.50097 17.55678 0 99 last_mo | 45,382 5.802631 17.5479 0 99 first_mo | 45,382 5.803006 17.54304 0 99 dr_cf1 | 45,540 19.42701 27.12948 0 99 -------------+--------------------------------------------------------- dr_cf2 | 45,540 11.15788 24.44028 0 99 dr_cf3 | 45,540 5.221739 19.73304 0 99 dr_cf4 | 45,540 2.81065 15.88827 0 99 dr_wgt | 45,382 450.7367 386.9187 60 999 dr_hgt | 45,382 177.6988 299.4109 36 999 -------------+--------------------------------------------------------- d_vision1 | 45,540 2.177097 14.26 0 99 d_vision2 | 45,540 1.864251 13.43754 0 99 d_vision3 | 45,540 1.85 13.4064 0 99 last_yr | 45,382 1118.017 1898.965 0 9999 first_yr | 45,382 1117.555 1898.401 0 9999 -------------+--------------------------------------------------------- dr_zip | 45,382 52765.13 27736.82 0 99999 month | 45,540 6.586869 3.360596 1 12 day | 45,540 15.58968 8.844282 1 31 hour | 45,540 13.34398 9.602921 0 99 minute | 45,540 28.93138 18.28348 0 99 -------------+--------------------------------------------------------- harm_ev | 45,540 16.4859 11.9433 1 99 man_coll | 45,540 2.211594 5.187575 0 99 ve_forms | 45,540 1.857751 1.501096 1 29 by Jean Roth , jroth@nber.org , 18 Apr 2016