Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 385 43 0 43 43 st_case | 385 430141.6 83.13036 430001 430288 veh_no | 385 1.314286 .5884554 1 4 ve_forms | 385 1.628571 .7903812 1 4 numoccs | 385 1.345455 .8463379 0 7 -------------+--------------------------------------------------------- day | 385 14.82338 8.821728 1 31 month | 385 6.65974 3.478515 1 12 hour | 385 12.34286 7.763889 0 23 minute | 385 27.63636 17.57892 0 59 harm_ev | 385 16.13766 11.06464 1 43 -------------+--------------------------------------------------------- man_coll | 385 1.911688 2.729563 0 8 unittype | 385 1 0 1 1 hit_run | 385 .0597403 .2373134 0 1 reg_stat | 385 46.18182 12.94613 43 99 owner | 385 2.067532 1.78845 0 9 -------------+--------------------------------------------------------- make | 385 48.27273 24.20434 2 99 model | 385 318.5792 318.8459 1 999 mak_mod | 385 48591.31 24342.59 2001 99999 body_typ | 385 26.27792 33.12159 2 99 mod_year | 385 2563.179 2044.734 1977 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 | 385 .3974026 1.851377 0 9 j_knife | 385 0 0 0 0 -------------+--------------------------------------------------------- mcarr_i1 | 385 7.971429 26.54863 0 99 mcarr_i2 | 0 mcarr_id | 0 gvwr | 385 .5168831 1.947314 0 9 v_config | 385 5.324675 21.07998 0 99 -------------+--------------------------------------------------------- cargo_bt | 385 7.994805 26.86511 0 99 haz_inv | 385 1 0 1 1 haz_plac | 385 0 0 0 0 haz_id | 385 0 0 0 0 haz_cno | 385 0 0 0 0 -------------+--------------------------------------------------------- haz_rel | 385 0 0 0 0 bus_use | 385 4.883117 21.45985 0 99 spec_use | 385 4.628571 20.92707 0 99 emer_use | 385 .3974026 1.851377 0 9 trav_sp | 385 986.0519 113.0263 0 999 -------------+--------------------------------------------------------- underide | 385 0 0 0 0 rollover | 385 .0987013 .4337619 0 2 rolinloc | 385 .2597403 1.196812 0 6 impact1 | 385 9.633766 3.749084 0 13 deformed | 385 4.27013 1.960486 0 6 -------------+--------------------------------------------------------- towed | 385 3.181818 1.398728 2 5 m_harm | 385 14.75844 10.76919 1 43 veh_sc1 | 385 0 0 0 0 veh_sc2 | 385 0 0 0 0 fire_exp | 385 .0077922 .0880433 0 1 -------------+--------------------------------------------------------- dr_pres | 385 .9974026 .0509647 0 1 l_state | 385 45.56623 13.50275 0 99 dr_zip | 385 7037.434 23862.79 601 99999 l_status | 385 5.636364 1.884069 0 9 l_type | 385 1.664935 2.249871 0 9 -------------+--------------------------------------------------------- cdl_stat | 385 5.94026 23.46971 0 99 l_endors | 385 .5324675 2.117538 0 9 l_compl | 385 3.049351 1.703292 0 9 l_restri | 385 .6441558 2.112863 0 9 dr_hgt | 385 222.1688 347.3271 54 999 -------------+--------------------------------------------------------- dr_wgt | 385 315.6545 311.0377 95 999 prev_acc | 385 8.758442 55.93198 0 998 prev_sus | 385 8.249351 55.5612 0 998 prev_dwi | 385 8.257143 55.56011 0 998 prev_spd | 385 8.477922 55.53223 0 998 -------------+--------------------------------------------------------- prev_oth | 385 9.161039 55.45015 0 998 first_mo | 385 7.6 23.25641 0 99 first_yr | 385 1255.979 2394.934 0 9999 last_mo | 385 7.703896 23.25192 0 99 last_yr | 385 1256.158 2394.991 0 9999 -------------+--------------------------------------------------------- speedrel | 385 1.132468 1.827342 0 8 dr_sf1 | 385 19.67532 16.50776 0 87 dr_sf2 | 385 22.44156 17.64397 0 51 dr_sf3 | 385 7.864935 16.72736 0 51 dr_sf4 | 385 2.018182 8.972306 0 51 -------------+--------------------------------------------------------- vtrafway | 385 2.064935 .6834666 1 4 vnum_lan | 385 2.771429 1.179121 1 6 vspd_lim | 385 44.90909 13.32407 15 65 valign | 385 1 0 1 1 vprofile | 385 1.303896 .5939016 1 3 -------------+--------------------------------------------------------- vpavetyp | 385 1.94026 .2373134 1 2 vsurcond | 385 1.135065 .3422377 1 2 vtrafcon | 385 .6441558 3.500093 0 20 vtcont_f | 385 .1012987 .5425858 0 3 p_crash1 | 385 .9974026 .0509647 0 1 -------------+--------------------------------------------------------- p_crash2 | 385 28.57922 32.57059 6 98 p_crash3 | 385 1 .0721688 0 2 pcrash4 | 385 2.275325 1.157871 0 4 pcrash5 | 385 2.374026 1.154859 0 5 acc_type | 385 38.93766 31.13079 0 98 -------------+--------------------------------------------------------- deaths | 385 .5090909 .5867863 0 4 dr_drink | 385 .2883117 .4535663 0 1 by Jean Roth , jroth@nber.org , 22 Oct 2016