Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 44,868 27.95531 16.26179 1 56 st_case | 44,868 280187.2 162589.5 10001 560075 veh_no | 44,868 1.524472 2.447916 1 90 ve_forms | 44,868 2.044308 4.143712 1 90 numoccs | 44,868 1.591602 3.02064 0 99 -------------+--------------------------------------------------------- day | 44,868 15.71441 8.834862 1 31 month | 44,868 6.726308 3.362475 1 12 hour | 44,868 13.28192 9.087668 0 99 minute | 44,868 29.06885 18.17558 0 99 harm_ev | 44,868 16.712 12.57772 1 99 -------------+--------------------------------------------------------- man_coll | 44,868 2.507177 5.356913 0 99 unittype | 44,868 1 0 1 1 hit_run | 44,868 .0431711 .3297081 0 9 reg_stat | 44,868 30.51417 20.82559 0 99 owner | 44,868 1.706093 1.358042 0 9 -------------+--------------------------------------------------------- make | 44,868 36.04567 26.2988 1 99 model | 44,868 363.0239 307.2077 1 999 mak_mod | 44,868 36408.69 26454.14 1398 99999 body_typ | 44,868 27.22062 28.29037 1 99 mod_year | 44,868 2171.424 1148.177 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 | 44,868 .0919363 .483341 0 9 j_knife | 44,868 .0790095 .3136877 0 3 -------------+--------------------------------------------------------- mcarr_i1 | 44,868 5.858117 18.93956 0 99 mcarr_i2 | 0 mcarr_id | 0 gvwr | 44,868 .2853258 .9237695 0 9 v_config | 44,868 .7388339 4.874866 0 99 -------------+--------------------------------------------------------- cargo_bt | 44,868 2.031782 12.84435 0 99 haz_inv | 44,868 1.00341 .0582962 1 2 haz_plac | 44,868 .0070429 .1270101 0 8 haz_id | 44,868 9.635776 236.3542 0 9999 haz_cno | 44,868 .0425025 1.677181 0 88 -------------+--------------------------------------------------------- haz_rel | 44,868 .0064411 .156944 0 8 bus_use | 44,868 .3013952 5.260951 0 99 spec_use | 44,868 .2897165 5.202964 0 99 emer_use | 44,868 .0302888 .4966699 0 9 trav_sp | 44,868 634.1397 463.6028 0 999 -------------+--------------------------------------------------------- underide | 44,868 .0561647 .6118142 0 9 rollover | 44,868 .2219176 .6922926 0 9 rolinloc | 44,868 .713114 1.735009 0 9 impact1 | 44,868 15.66125 21.37662 0 99 deformed | 44,868 5.435232 1.59412 0 9 -------------+--------------------------------------------------------- towed | 44,868 2.592003 1.222529 2 9 m_harm | 44,868 14.85179 13.0957 1 99 veh_sc1 | 44,868 .8618169 7.533581 0 99 veh_sc2 | 44,868 .4335161 6.521467 0 99 fire_exp | 44,868 .0314255 .1744667 0 1 -------------+--------------------------------------------------------- dr_pres | 44,868 .9960774 .1294035 0 9 l_state | 44,868 29.57324 19.45184 0 99 dr_zip | 44,868 53381.35 27963.99 0 99999 l_status | 44,868 5.489815 1.753341 0 9 l_type | 44,868 1.233752 1.395512 0 9 -------------+--------------------------------------------------------- cdl_stat | 44,868 3.93599 17.23295 0 99 l_endors | 44,868 .2951101 1.474846 0 9 l_compl | 44,868 2.949964 1.218379 0 9 l_restri | 44,868 1.066194 1.897239 0 9 dr_hgt | 44,868 202.7363 326.8328 37 999 -------------+--------------------------------------------------------- dr_wgt | 44,868 472.8221 392.6066 58 999 prev_acc | 44,868 16.64893 79.43055 0 998 prev_sus | 44,868 9.108095 75.80198 0 998 prev_dwi | 44,868 8.789806 75.82527 0 998 prev_spd | 44,868 8.973901 75.80594 0 998 -------------+--------------------------------------------------------- prev_oth | 44,868 9.00887 75.80309 0 998 first_mo | 44,868 6.22116 18.87375 0 99 first_yr | 44,868 1139.227 2014.206 0 9999 last_mo | 44,868 6.214117 18.8727 0 99 last_yr | 44,868 1139.403 2014.305 0 9999 -------------+--------------------------------------------------------- speedrel | 44,868 1.188375 2.334355 0 9 dr_sf1 | 44,868 19.57067 28.39606 0 99 dr_sf2 | 44,868 7.79803 23.43434 0 99 dr_sf3 | 44,868 4.427097 19.89419 0 99 dr_sf4 | 44,868 3.861282 19.07842 0 99 -------------+--------------------------------------------------------- vtrafway | 44,868 1.807346 1.260211 0 9 vnum_lan | 44,868 2.500357 1.030645 0 9 vspd_lim | 44,868 51.22022 16.18844 0 99 valign | 44,868 1.42654 1.008941 0 9 vprofile | 44,868 1.957966 1.947907 0 9 -------------+--------------------------------------------------------- vpavetyp | 44,868 3.145649 2.466587 0 9 vsurcond | 44,868 1.832999 7.464154 0 99 vtrafcon | 44,868 3.514019 11.91624 0 99 vtcont_f | 44,868 .6546314 1.381093 0 9 p_crash1 | 44,868 5.909713 11.29033 0 99 -------------+--------------------------------------------------------- p_crash2 | 44,868 40.77414 29.60093 1 99 p_crash3 | 44,868 21.28016 38.57458 0 99 pcrash4 | 44,868 1.771307 2.022796 0 9 pcrash5 | 44,868 2.184073 1.5998 0 9 acc_type | 44,868 44.01734 35.87987 0 99 -------------+--------------------------------------------------------- deaths | 44,868 .6029018 .596008 0 7 dr_drink | 44,868 .2061603 .4045514 0 1 by Jean Roth , jroth@nber.org , 22 Oct 2016