Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 448 43 0 43 43 st_case | 448 430168.4 95.47424 430001 430333 veh_no | 448 1.314732 .5804857 1 4 ve_forms | 448 1.629464 .7721249 1 4 numoccs | 448 1.345982 .8238242 0 7 -------------+--------------------------------------------------------- day | 448 16.33259 8.510744 1 31 month | 448 6.587054 3.358053 1 12 hour | 448 12.17857 7.21323 0 23 minute | 448 26.77679 17.38443 0 59 harm_ev | 448 16.02902 10.57377 1 43 -------------+--------------------------------------------------------- man_coll | 448 2.035714 2.77147 0 8 unittype | 448 1 0 1 1 hit_run | 448 .0714286 .4770207 0 9 reg_stat | 448 45.875 12.37239 43 99 owner | 448 2.051339 1.749285 1 9 -------------+--------------------------------------------------------- make | 448 46.40179 25.13417 2 99 model | 448 321.5982 312.9817 1 999 mak_mod | 448 46723.38 25266.78 2403 99999 body_typ | 448 24.50446 31.58568 2 99 mod_year | 448 2535.4 2001.743 1978 9999 -------------+--------------------------------------------------------- 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 tow_veh | 448 .421875 1.904466 0 9 vintype | 0 -------------+--------------------------------------------------------- vinmake | 0 vina_mod | 0 vin_bt | 0 vinmodyr | 444 25.72748 35.64352 0 99 vin_lngt | 446 17 0 17 17 -------------+--------------------------------------------------------- vin_wgt | 162 2567.099 1228.279 0 4916 wgtcd_tr | 37 2.648649 2.551864 1 8 whlbs_lg | 197 96.53807 391.8402 0 2400 whlbs_sh | 197 1010.437 246.2731 0 1562 ser_tr | 0 -------------+--------------------------------------------------------- fuelcode | 0 mcycl_ds | 15 994.6 206.0495 599 1352 j_knife | 448 0 0 0 0 mcarr_i1 | 448 9.28125 28.88884 0 99 mcarr_i2 | 0 -------------+--------------------------------------------------------- mcarr_id | 0 gvwr | 448 .5401786 1.979355 0 9 v_config | 448 5.665179 21.57717 0 99 cargo_bt | 448 8.549107 27.48613 0 99 haz_inv | 448 1 0 1 1 -------------+--------------------------------------------------------- haz_plac | 448 0 0 0 0 haz_id | 448 0 0 0 0 haz_cno | 448 0 0 0 0 haz_rel | 448 0 0 0 0 bus_use | 448 4.46875 20.46427 0 99 -------------+--------------------------------------------------------- spec_use | 448 4.419643 20.46818 0 99 emer_use | 448 .3816964 1.815746 0 9 trav_sp | 448 954.8884 204.3183 0 999 underide | 448 .2209821 1.394398 0 9 rollover | 448 .1450893 .832195 0 9 -------------+--------------------------------------------------------- rolinloc | 448 .2254464 1.13144 0 9 impact1 | 448 9.475446 3.870883 0 12 impact2 | 448 9.866071 5.70293 0 99 deformed | 448 3.917411 2.632589 0 9 towed | 448 1.888393 .7544345 1 4 -------------+--------------------------------------------------------- m_harm | 448 15.19866 11.5419 1 99 veh_sc1 | 448 .7075893 6.263544 0 99 veh_sc2 | 448 .2209821 4.67731 0 99 fire_exp | 448 .0066964 .0816484 0 1 dr_pres | 448 .9977679 .0472456 0 1 -------------+--------------------------------------------------------- l_state | 447 45.85682 13.21289 12 99 dr_zip | 447 6618.515 22919.29 601 99999 l_status | 447 7.040268 2.313576 0 9 l_type | 447 4.818792 4.038026 0 9 cdl_stat | 447 46.57718 49.40573 0 99 -------------+--------------------------------------------------------- l_endors | 447 4.228188 4.496816 0 9 l_compl | 447 5.61745 3.263325 0 9 l_restri | 447 4.248322 4.480009 0 9 dr_hgt | 448 630.8996 455.9882 59 999 dr_wgt | 447 675.6331 404.2295 96 999 -------------+--------------------------------------------------------- prev_acc | 447 46.51007 49.46498 0 99 prev_sus | 447 46.51007 49.46498 0 99 prev_dwi | 447 46.5123 49.46289 0 99 prev_spd | 447 46.6689 49.31879 0 99 prev_oth | 447 46.9821 49.03417 0 99 -------------+--------------------------------------------------------- first_mo | 447 47.54139 48.55312 0 99 first_yr | 447 5065.957 4700.635 0 9999 last_mo | 447 47.74497 48.37843 0 99 last_yr | 447 5066.013 4700.599 0 9999 speedrel | 447 .2997763 .4586732 0 1 -------------+--------------------------------------------------------- dr_sf1 | 448 20.625 16.51594 0 92 dr_sf2 | 448 22.07589 17.81093 0 51 dr_sf3 | 448 11.06696 20.76878 0 87 dr_sf4 | 448 2.294643 9.406446 0 51 vtrafway | 448 2.212054 .5998786 1 4 -------------+--------------------------------------------------------- vnum_lan | 448 2.712054 1.192684 1 6 vspd_lim | 448 43.41964 15.34751 15 99 valign | 448 1.006696 .0816484 1 2 vprofile | 448 1.316964 .639825 1 3 vpavetyp | 448 1.926339 .26151 1 2 -------------+--------------------------------------------------------- vsurcond | 448 1.189732 .3925274 1 2 vtrafcon | 448 1.256696 4.846983 0 20 vtcont_f | 448 .1941964 .7389831 0 3 p_crash1 | 448 1.636161 5.040705 0 99 p_crash2 | 448 25.19196 29.56794 2 87 -------------+--------------------------------------------------------- p_crash3 | 448 1.216518 4.630412 0 99 pcrash4 | 448 2.029018 1.309595 0 4 pcrash5 | 448 2.323661 1.255029 0 7 acc_type | 448 50.03348 36.15986 0 98 deaths | 448 .4888393 .5265739 0 2 -------------+--------------------------------------------------------- dr_drink | 448 .2098214 .4076362 0 1 by Jean Roth , jroth@nber.org , 18 Apr 2016