Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 44,950 27.88374 16.29408 1 56 st_case | 44,950 279497.4 162913.2 10001 560131 veh_no | 44,950 1.443137 1.002901 1 40 ve_forms | 44,950 1.881557 1.538716 1 40 numoccs | 44,950 1.737486 4.91302 0 99 -------------+--------------------------------------------------------- day | 44,950 15.74263 8.825725 1 31 month | 44,950 6.803048 3.369314 1 12 hour | 44,950 13.33673 9.048018 0 99 minute | 44,950 28.8087 18.15854 0 99 harm_ev | 44,950 16.60683 12.56533 1 99 -------------+--------------------------------------------------------- man_coll | 44,950 2.628765 6.470579 0 99 unittype | 44,950 1 0 1 1 hit_run | 44,950 .0409566 .2955241 0 9 reg_stat | 44,950 30.49135 20.93748 0 99 owner | 44,950 1.710945 1.366346 0 9 -------------+--------------------------------------------------------- make | 44,950 36.0834 26.25436 1 99 model | 44,950 360.2758 304.8644 1 999 mak_mod | 44,950 36443.68 26408.17 1001 99999 body_typ | 44,950 26.91152 28.09768 1 99 mod_year | 44,950 2172.255 1148.225 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 | 44,950 .0943938 .5217145 0 9 j_knife | 44,950 .0780423 .3162041 0 3 -------------+--------------------------------------------------------- mcarr_i1 | 44,950 5.580067 18.44169 0 99 mcarr_i2 | 0 mcarr_id | 0 gvwr | 44,950 .2785984 .9262813 0 9 v_config | 44,950 .7337264 5.047969 0 99 -------------+--------------------------------------------------------- cargo_bt | 44,950 1.849611 12.2379 0 99 haz_inv | 44,950 1.002514 .0500763 1 2 haz_plac | 44,950 .005495 .1231455 0 8 haz_id | 44,950 6.984872 197.7602 0 9276 haz_cno | 44,950 .0297219 1.389763 0 88 -------------+--------------------------------------------------------- haz_rel | 44,950 .0048721 .1375094 0 8 bus_use | 44,950 .2615795 4.896141 0 99 spec_use | 44,950 .30703 5.243659 0 99 emer_use | 44,950 .0297664 .4810168 0 9 trav_sp | 44,950 625.1482 465.7698 0 999 -------------+--------------------------------------------------------- underide | 44,950 .0484093 .5541424 0 9 rollover | 44,950 .2377308 .8072566 0 9 rolinloc | 44,950 .69604 1.701592 0 9 impact1 | 44,950 16.72169 22.68877 0 99 deformed | 44,950 5.457286 1.599375 0 9 -------------+--------------------------------------------------------- towed | 44,950 2.595818 1.21966 2 9 m_harm | 44,950 14.72461 12.46032 1 99 veh_sc1 | 44,950 .7802225 7.35083 0 99 veh_sc2 | 44,950 .43099 6.501681 0 99 fire_exp | 44,950 .0327697 .1780354 0 1 -------------+--------------------------------------------------------- dr_pres | 44,950 .9951947 .0893643 0 9 l_state | 44,950 29.39526 19.49552 0 99 dr_zip | 44,950 54025.9 27995.92 0 99999 l_status | 44,950 5.447764 1.797527 0 9 l_type | 44,950 1.231123 1.389775 0 9 -------------+--------------------------------------------------------- cdl_stat | 44,950 3.856352 17.03962 0 99 l_endors | 44,950 .3043159 1.510634 0 9 l_compl | 44,950 2.934616 1.221538 0 9 l_restri | 44,950 1.069366 1.909774 0 9 dr_hgt | 44,950 204.668 328.8038 34 999 -------------+--------------------------------------------------------- dr_wgt | 44,950 476.352 393.0982 58 999 prev_acc | 44,950 16.22549 77.41316 0 998 prev_sus | 44,950 8.706941 73.653 0 998 prev_dwi | 44,950 8.388543 73.67566 0 998 prev_spd | 44,950 8.564138 73.65759 0 998 -------------+--------------------------------------------------------- prev_oth | 44,950 8.597709 73.65499 0 998 first_mo | 44,950 6.146986 18.75237 0 99 first_yr | 44,950 1124.305 2004.212 0 9999 last_mo | 44,950 6.147475 18.75164 0 99 last_yr | 44,950 1124.434 2004.314 0 9999 -------------+--------------------------------------------------------- speedrel | 44,950 1.157375 2.337498 0 9 dr_sf1 | 44,950 20.0834 28.95233 0 99 dr_sf2 | 44,950 8.397864 24.5829 0 99 dr_sf3 | 44,950 5.163337 21.42972 0 99 dr_sf4 | 44,950 4.563115 20.67133 0 99 -------------+--------------------------------------------------------- vtrafway | 44,950 1.839333 1.320864 0 9 vnum_lan | 44,950 2.650701 1.239489 0 9 vspd_lim | 44,950 51.23998 16.25124 0 99 valign | 44,950 1.47337 1.191059 0 9 vprofile | 44,950 2.099088 2.131449 0 9 -------------+--------------------------------------------------------- vpavetyp | 44,950 3.201802 2.510998 0 9 vsurcond | 44,950 2.174505 9.47909 0 99 vtrafcon | 44,950 3.467297 11.63613 0 99 vtcont_f | 44,950 .6500334 1.341222 0 9 p_crash1 | 44,950 5.971702 11.94038 0 99 -------------+--------------------------------------------------------- p_crash2 | 44,950 41.03539 29.37959 1 99 p_crash3 | 44,950 40.04994 47.09825 0 99 pcrash4 | 44,950 1.834082 2.12547 0 9 pcrash5 | 44,950 2.170167 1.608265 0 9 acc_type | 44,950 44.14672 35.68892 0 99 -------------+--------------------------------------------------------- deaths | 44,950 .598465 .5966918 0 9 dr_drink | 44,950 .202069 .4015479 0 1 by Jean Roth , jroth@nber.org , 22 Oct 2016