Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 48,923 27.62124 16.27786 1 56 st_case | 48,923 276902.8 162716.8 10001 560130 veh_no | 48,923 1.503996 1.528479 1 58 ve_forms | 48,923 1.999285 2.47531 1 58 numoccs | 48,923 1.752693 4.987042 0 99 -------------+--------------------------------------------------------- day | 48,923 15.50152 8.744497 1 31 month | 48,923 6.774728 3.353681 1 12 hour | 48,923 13.40112 9.146175 0 99 minute | 48,923 28.87858 18.06677 0 99 harm_ev | 48,923 16.19181 12.14002 1 99 -------------+--------------------------------------------------------- man_coll | 48,923 2.606627 6.131593 0 99 unittype | 48,923 1 0 1 1 hit_run | 48,923 .0434969 .319291 0 9 reg_stat | 48,923 30.48703 21.17936 0 99 owner | 48,923 1.745662 1.456707 0 9 -------------+--------------------------------------------------------- make | 48,923 36.33326 26.22931 1 99 model | 48,923 360.1985 304.521 1 999 mak_mod | 48,923 36693.46 26380.81 1007 99999 body_typ | 48,923 26.89823 28.08042 1 99 mod_year | 48,923 2192.644 1211.204 1923 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 | 48,923 .1008932 .5550146 0 9 j_knife | 48,923 .0800646 .3203758 0 3 -------------+--------------------------------------------------------- mcarr_i1 | 48,923 5.632136 18.55447 0 99 mcarr_i2 | 0 mcarr_id | 0 gvwr | 48,923 .288024 .9684366 0 9 v_config | 48,923 .8048771 5.578052 0 99 -------------+--------------------------------------------------------- cargo_bt | 48,923 1.933344 12.56482 0 99 haz_inv | 48,923 1.002759 .0524584 1 2 haz_plac | 48,923 .0062138 .1350384 0 8 haz_id | 48,923 7.553564 210.7226 0 9999 haz_cno | 48,923 .0437831 1.78803 0 88 -------------+--------------------------------------------------------- haz_rel | 48,923 .005294 .1466152 0 8 bus_use | 48,923 .3483024 5.691472 0 99 spec_use | 48,923 .3755902 5.866895 0 99 emer_use | 48,923 .0328271 .513568 0 9 trav_sp | 48,923 621.4706 466.7054 0 999 -------------+--------------------------------------------------------- underide | 48,923 .0435378 .5230328 0 9 rollover | 48,923 .23584 .8358959 0 9 rolinloc | 48,923 .6712589 1.673993 0 9 impact1 | 48,923 17.49623 23.47329 0 99 deformed | 48,923 5.608793 1.566454 0 9 -------------+--------------------------------------------------------- towed | 48,923 2.555812 1.230118 2 9 m_harm | 48,923 14.46011 12.05648 1 99 veh_sc1 | 48,923 1.008278 8.67831 0 99 veh_sc2 | 48,923 .636306 7.908301 0 99 fire_exp | 48,923 .0323774 .1770021 0 1 -------------+--------------------------------------------------------- dr_pres | 48,923 .9956258 .1148284 0 9 l_state | 48,923 29.37894 19.70967 0 99 dr_zip | 48,923 53830.62 27875.23 0 99999 l_status | 48,923 5.485906 1.780554 0 9 l_type | 48,923 1.270466 1.483038 0 9 -------------+--------------------------------------------------------- cdl_stat | 48,923 4.255299 18.11778 0 99 l_endors | 48,923 .341087 1.60414 0 9 l_compl | 48,923 2.969524 1.272936 0 9 l_restri | 48,923 1.092615 1.971722 0 9 dr_hgt | 48,923 205.24 329.288 37 999 -------------+--------------------------------------------------------- dr_wgt | 48,923 477.5123 392.87 40 999 prev_acc | 48,923 17.47178 79.44328 0 998 prev_sus | 48,923 9.420293 75.63146 0 998 prev_dwi | 48,923 9.035076 75.65472 0 998 prev_spd | 48,923 9.298694 75.62674 0 998 -------------+--------------------------------------------------------- prev_oth | 48,923 9.349263 75.62353 0 998 first_mo | 48,923 6.958036 19.43949 0 99 first_yr | 48,923 1306.235 2051.779 0 9999 last_mo | 48,923 6.959324 19.43888 0 99 last_yr | 48,923 1306.718 2051.945 0 9999 -------------+--------------------------------------------------------- speedrel | 48,923 1.113076 2.300849 0 9 dr_sf1 | 48,923 20.06103 29.34316 0 99 dr_sf2 | 48,923 8.725896 25.17403 0 99 dr_sf3 | 48,923 5.679169 22.43085 0 99 dr_sf4 | 48,923 5.104368 21.7853 0 99 -------------+--------------------------------------------------------- vtrafway | 48,923 1.864195 1.320062 0 9 vnum_lan | 48,923 2.6221 1.206267 0 9 vspd_lim | 48,923 51.74529 16.3964 0 99 valign | 48,923 1.506326 1.292341 0 9 vprofile | 48,923 2.099442 2.13674 0 9 -------------+--------------------------------------------------------- vpavetyp | 48,923 3.256423 2.55392 0 9 vsurcond | 48,923 2.371441 10.48098 0 99 vtrafcon | 48,923 3.296772 11.24251 0 99 vtcont_f | 48,923 .626045 1.307661 0 9 p_crash1 | 48,923 5.844756 11.7037 0 99 -------------+--------------------------------------------------------- p_crash2 | 48,923 41.92903 29.27881 1 99 p_crash3 | 48,923 48.48672 48.18455 0 99 pcrash4 | 48,923 2.061566 2.464732 0 9 pcrash5 | 48,923 2.154038 1.643129 0 9 acc_type | 48,923 45.21141 35.72218 0 99 -------------+--------------------------------------------------------- deaths | 48,923 .5860434 .5977581 0 10 dr_drink | 48,923 .1861292 .3892149 0 1 by Jean Roth , jroth@nber.org , 22 Oct 2016