Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 44,858 27.91188 16.29375 1 56 st_case | 44,858 279777.3 162912.2 10001 560131 veh_no | 44,858 1.443444 1.003672 1 40 ve_forms | 44,858 1.882161 1.540031 1 40 numoccs | 44,858 1.738129 4.917902 0 99 -------------+--------------------------------------------------------- day | 44,858 15.74199 8.825594 1 31 month | 44,858 6.800615 3.368168 1 12 hour | 44,858 13.33925 9.059598 0 99 minute | 44,858 28.79266 18.16533 0 99 harm_ev | 44,858 16.61935 12.55956 1 99 -------------+--------------------------------------------------------- man_coll | 44,858 2.621673 6.412065 0 99 unittype | 44,858 1 0 1 1 hit_run | 44,858 .0407731 .2954057 0 9 reg_stat | 44,858 30.56037 20.97716 0 99 owner | 44,858 1.714098 1.37481 0 9 -------------+--------------------------------------------------------- make | 44,858 36.08059 26.25798 1 99 model | 44,858 360.391 304.8266 1 999 mak_mod | 44,858 36440.98 26411.86 1001 99999 body_typ | 44,858 26.91542 28.09495 1 99 mod_year | 44,858 2173.133 1151.156 1927 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 | 44,858 .0946765 .5237926 0 9 j_knife | 44,858 .0780909 .3163598 0 3 -------------+--------------------------------------------------------- mcarr_i1 | 44,858 5.587677 18.47828 0 99 mcarr_i2 | 0 mcarr_id | 0 gvwr | 44,858 .2790361 .9289865 0 9 v_config | 44,858 .735142 5.054101 0 99 -------------+--------------------------------------------------------- cargo_bt | 44,858 1.839516 12.20105 0 99 haz_inv | 44,858 1.002519 .0501275 1 2 haz_plac | 44,858 .0055063 .1232714 0 8 haz_id | 44,858 6.999197 197.9626 0 9276 haz_cno | 44,858 .0446297 1.819696 0 88 -------------+--------------------------------------------------------- haz_rel | 44,858 .0048598 .1374078 0 8 bus_use | 44,858 .2599313 4.879371 0 99 spec_use | 44,858 .3073922 5.248877 0 99 emer_use | 44,858 .0295599 .4794366 0 9 trav_sp | 44,858 632.2847 464.1372 0 999 -------------+--------------------------------------------------------- underide | 44,858 .0488876 .5583781 0 9 rollover | 44,858 .2369923 .8026298 0 9 rolinloc | 44,858 .6959071 1.701155 0 9 impact1 | 44,858 16.76274 22.76854 0 99 deformed | 44,858 5.442886 1.592838 0 9 -------------+--------------------------------------------------------- towed | 44,858 2.60103 1.231852 2 9 m_harm | 44,858 14.73175 12.46406 1 99 veh_sc1 | 44,858 .7760489 7.334258 0 99 veh_sc2 | 44,858 .4296669 6.491654 0 99 fire_exp | 44,858 .0327701 .1780362 0 1 -------------+--------------------------------------------------------- dr_pres | 44,858 .9952517 .0890847 0 9 l_state | 44,858 29.43495 19.51157 0 99 dr_zip | 44,858 54050.56 27962.01 0 99999 l_status | 44,858 5.450555 1.798055 0 9 l_type | 44,858 1.236123 1.402762 0 9 -------------+--------------------------------------------------------- cdl_stat | 44,858 3.913304 17.19221 0 99 l_endors | 44,858 .3089527 1.52385 0 9 l_compl | 44,858 2.938517 1.229531 0 9 l_restri | 44,858 1.057805 1.913302 0 9 dr_hgt | 44,858 205.4249 329.5589 34 999 -------------+--------------------------------------------------------- dr_wgt | 44,858 476.4231 393.1217 58 999 prev_acc | 44,858 16.30206 77.11997 0 998 prev_sus | 44,858 8.732801 73.32402 0 998 prev_dwi | 44,858 8.414018 73.3469 0 998 prev_spd | 44,858 8.587253 73.32748 0 998 -------------+--------------------------------------------------------- prev_oth | 44,858 8.622542 73.32614 0 998 first_mo | 44,858 6.218846 18.92275 0 99 first_yr | 44,858 1131.055 2018.62 0 9999 last_mo | 44,858 6.218958 18.92214 0 99 last_yr | 44,858 1131.183 2018.72 0 9999 -------------+--------------------------------------------------------- speedrel | 44,858 1.164497 2.347885 0 9 dr_sf1 | 44,858 20.12914 28.99565 0 99 dr_sf2 | 44,858 8.44487 24.64461 0 99 dr_sf3 | 44,858 5.178184 21.45251 0 99 dr_sf4 | 44,858 4.577712 20.7003 0 99 -------------+--------------------------------------------------------- vtrafway | 44,858 1.850484 1.334323 0 9 vnum_lan | 44,858 2.654265 1.247107 0 9 vspd_lim | 44,858 51.27469 16.26962 0 99 valign | 44,858 1.478265 1.203425 0 9 vprofile | 44,858 2.10482 2.14253 0 9 -------------+--------------------------------------------------------- vpavetyp | 44,858 3.200901 2.512219 0 9 vsurcond | 44,858 2.211356 9.663559 0 99 vtrafcon | 44,858 3.483637 11.70023 0 99 vtcont_f | 44,858 .6517678 1.345661 0 9 p_crash1 | 44,858 5.979758 11.96555 0 99 -------------+--------------------------------------------------------- p_crash2 | 44,858 40.98876 29.37088 1 99 p_crash3 | 44,858 38.02742 46.62256 0 99 pcrash4 | 44,858 1.832293 2.121346 0 9 pcrash5 | 44,858 2.178006 1.612572 0 9 acc_type | 44,858 44.1941 35.70469 0 99 -------------+--------------------------------------------------------- deaths | 44,858 .598823 .5967568 0 9 dr_drink | 44,858 .1991395 .3993576 0 1 by Jean Roth , jroth@nber.org , 22 Oct 2016