Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 45,101 27.87508 16.27867 1 56 st_case | 45,101 279391.4 162750.3 10001 560075 veh_no | 45,101 1.524667 2.442509 1 90 ve_forms | 45,101 2.044766 4.134079 1 90 numoccs | 45,101 1.592049 3.019328 0 99 -------------+--------------------------------------------------------- day | 45,101 15.71748 8.833925 1 31 month | 45,101 6.728476 3.362032 1 12 hour | 45,101 13.26762 9.04381 0 99 minute | 45,101 29.05581 18.15932 0 99 harm_ev | 45,101 16.6818 12.56008 1 99 -------------+--------------------------------------------------------- man_coll | 45,101 2.50112 5.288143 0 99 unittype | 45,101 1 0 1 1 hit_run | 45,101 .0432363 .3292701 0 9 reg_stat | 45,101 30.42378 20.82081 0 99 owner | 45,101 1.70402 1.352078 0 9 -------------+--------------------------------------------------------- make | 45,101 36.04616 26.279 1 99 model | 45,101 362.5702 307.124 1 999 mak_mod | 45,101 36408.73 26434.08 1398 99999 body_typ | 45,101 27.18343 28.27522 1 99 mod_year | 45,101 2170.733 1145.863 1914 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 | 45,101 .0913505 .4787649 0 9 j_knife | 45,101 .0789118 .3135574 0 3 -------------+--------------------------------------------------------- mcarr_i1 | 45,101 5.841378 18.90725 0 99 mcarr_i2 | 0 mcarr_id | 0 gvwr | 45,101 .284783 .9220175 0 9 v_config | 45,101 .7352165 4.842934 0 99 -------------+--------------------------------------------------------- cargo_bt | 45,101 2.033192 12.85091 0 99 haz_inv | 45,101 1.003392 .058146 1 2 haz_plac | 45,101 .0070065 .1266826 0 8 haz_id | 45,101 9.585996 235.7439 0 9999 haz_cno | 45,101 .0422829 1.672845 0 88 -------------+--------------------------------------------------------- haz_rel | 45,101 .0064078 .1565388 0 8 bus_use | 45,101 .2955367 5.206051 0 99 spec_use | 45,101 .2842731 5.147936 0 99 emer_use | 45,101 .0301989 .4944676 0 9 trav_sp | 45,101 634.9918 463.394 0 999 -------------+--------------------------------------------------------- underide | 45,101 .0570719 .6159934 0 9 rollover | 45,101 .2209929 .6896827 0 9 rolinloc | 45,101 .7104721 1.731688 0 9 impact1 | 45,101 15.63371 21.30158 0 99 deformed | 45,101 5.454181 1.602344 0 9 -------------+--------------------------------------------------------- towed | 45,101 2.591517 1.219206 2 9 m_harm | 45,101 14.84222 13.07957 1 99 veh_sc1 | 45,101 .8663666 7.552888 0 99 veh_sc2 | 45,101 .4356666 6.537707 0 99 fire_exp | 45,101 .0314184 .1744475 0 1 -------------+--------------------------------------------------------- dr_pres | 45,101 .9959868 .1294945 0 9 l_state | 45,101 29.48726 19.45466 0 99 dr_zip | 45,101 53452.21 28034.26 0 99999 l_status | 45,101 5.487705 1.752669 0 9 l_type | 45,101 1.23066 1.386628 0 9 -------------+--------------------------------------------------------- cdl_stat | 45,101 3.899027 17.13681 0 99 l_endors | 45,101 .2913017 1.464789 0 9 l_compl | 45,101 2.947163 1.211668 0 9 l_restri | 45,101 1.062704 1.889396 0 9 dr_hgt | 45,101 201.7323 325.8147 37 999 -------------+--------------------------------------------------------- dr_wgt | 45,101 472.2305 392.4258 58 999 prev_acc | 45,101 16.65622 79.89705 0 998 prev_sus | 45,101 9.133212 76.30125 0 998 prev_dwi | 45,101 8.815658 76.32446 0 998 prev_spd | 45,101 8.999113 76.30526 0 998 -------------+--------------------------------------------------------- prev_oth | 45,101 9.034345 76.30239 0 998 first_mo | 45,101 6.171216 18.76285 0 99 first_yr | 45,101 1133.76 2004.896 0 9999 last_mo | 45,101 6.163322 18.76169 0 99 last_yr | 45,101 1133.936 2004.995 0 9999 -------------+--------------------------------------------------------- speedrel | 45,101 1.186093 2.328552 0 9 dr_sf1 | 45,101 19.59617 28.38072 0 99 dr_sf2 | 45,101 7.824217 23.46494 0 99 dr_sf3 | 45,101 4.42988 19.89723 0 99 dr_sf4 | 45,101 3.8465 19.04519 0 99 -------------+--------------------------------------------------------- vtrafway | 45,101 1.810536 1.266068 0 9 vnum_lan | 45,101 2.503337 1.034534 0 9 vspd_lim | 45,101 51.17849 16.18625 0 99 valign | 45,101 1.427973 1.016224 0 9 vprofile | 45,101 1.964502 1.957532 0 9 -------------+--------------------------------------------------------- vpavetyp | 45,101 3.143234 2.465193 0 9 vsurcond | 45,101 1.813618 7.34545 0 99 vtrafcon | 45,101 3.506485 11.90004 0 99 vtcont_f | 45,101 .6536219 1.373562 0 9 p_crash1 | 45,101 5.894969 11.2582 0 99 -------------+--------------------------------------------------------- p_crash2 | 45,101 40.8204 29.61704 1 99 p_crash3 | 45,101 21.81098 38.9661 0 99 pcrash4 | 45,101 1.772289 2.024919 0 9 pcrash5 | 45,101 2.18055 1.596981 0 9 acc_type | 45,101 44.05308 35.87871 0 99 -------------+--------------------------------------------------------- deaths | 45,101 .6025365 .5975016 0 7 dr_drink | 45,101 .2101727 .4074357 0 1 by Jean Roth , jroth@nber.org , 22 Oct 2016