Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- 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 state | 58,094 26.87147 16.28059 1 56 veh_no | 58,094 1.429115 .7641007 1 22 -------------+--------------------------------------------------------- ocupants | 58,094 1.803491 4.78586 0 99 make | 58,094 33.0723 25.51303 1 99 model | 58,094 344.7523 302.6883 1 999 body_typ | 58,094 25.14955 26.95351 1 99 reg_stat | 58,094 30.48702 22.21308 0 99 -------------+--------------------------------------------------------- owner | 58,094 1.693686 1.370411 0 9 rollover | 58,094 .3305333 .6970123 0 2 j_knife | 58,094 .0726581 .293208 0 3 trav_sp | 58,094 77.30545 29.21183 0 99 haz_carg | 58,094 .0435673 .601651 0 9 -------------+--------------------------------------------------------- tow_veh | 58,094 .1008538 .5904364 0 9 v_config | 58,094 .8808311 6.235217 0 99 axles | 58,094 1.823338 12.11311 0 99 cargo_bt | 58,094 1.76767 12.04048 0 99 spec_use | 58,094 .0380934 .5302983 0 9 -------------+--------------------------------------------------------- emer_use | 58,094 .0012049 .0346917 0 1 impact1 | 58,094 11.30986 13.84665 0 99 impact2 | 58,094 11.78476 15.02513 0 99 underide | 58,094 .0292285 .4368504 0 9 deformed | 58,094 5.399163 1.475246 0 9 -------------+--------------------------------------------------------- impacts | 58,094 1.32549 .7377237 0 9 towaway | 58,094 1.99246 .8564007 1 9 fire_exp | 58,094 .0302785 .1713541 0 1 veh_cf1 | 58,094 2.573932 13.14759 0 99 veh_cf2 | 58,094 1.489517 12.00916 0 99 -------------+--------------------------------------------------------- veh_man | 58,094 5.392089 10.52884 1 99 avoid | 58,094 3.313871 3.575241 0 8 m_harm | 58,094 14.05001 11.98219 1 99 deaths | 58,094 .6361414 .6091295 0 10 seq1 | 58,094 31.12091 25.47124 1 99 -------------+--------------------------------------------------------- seq2 | 58,094 20.60893 25.64716 0 99 seq3 | 58,094 10.82819 20.23553 0 99 seq4 | 58,094 5.100991 14.66603 0 99 seq5 | 58,094 2.056736 9.606166 0 99 seq6 | 58,094 .8031638 6.239622 0 99 -------------+--------------------------------------------------------- vin_lngt | 58,094 16.91249 .7500892 5 17 bus_use | 58,094 .0446862 .5697218 0 9 gvwr | 58,094 .2934382 1.00739 0 9 unittype | 58,094 1 0 1 1 st_case | 58,094 269503.2 162647.8 10001 560169 -------------+--------------------------------------------------------- mak_mod | 58,094 33417.05 25671.48 1009 99999 mod_year | 58,094 2150.621 1093.897 1927 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 -------------+--------------------------------------------------------- mcarr_id | 0 fldcd_tr | 0 whlbs_sh | 53,321 2202.003 2882.621 799 9999 whlbs_lg | 53,321 1453.217 3213.076 0 9999 mcycl_ds | 7,550 4394.159 4369.862 49 9999 -------------+--------------------------------------------------------- vin_wgt | 35,129 3996.935 2170.961 1085 9999 wgtcd_tr | 21,042 3.938647 3.214669 1 9 dr_pres | 58,094 1.01909 .1989692 1 9 dr_drink | 58,094 .2103143 .4075354 0 1 l_state | 57,903 28.80783 19.46629 1 99 -------------+--------------------------------------------------------- l_type | 57,903 1.231922 1.410058 0 9 l_status | 57,903 5.451894 1.818772 0 9 cdl_stat | 57,903 1.033107 2.424372 0 9 l_endors | 57,903 .2380878 1.33829 0 9 l_compl | 57,903 2.940349 1.256684 0 9 -------------+--------------------------------------------------------- l_restri | 57,903 1.019066 1.87623 0 9 violchg1 | 57,903 4.26123 17.14781 0 99 violchg2 | 57,903 2.694403 14.55914 0 99 violchg3 | 57,903 2.077112 13.42311 0 99 prev_acc | 57,903 10.13279 29.6633 0 99 -------------+--------------------------------------------------------- prev_sus | 57,903 4.233908 19.38013 0 99 prev_dwi | 57,903 3.994474 19.40237 0 99 prev_spd | 57,903 4.234686 19.36374 0 99 prev_oth | 57,903 4.204152 19.3704 0 99 last_mo | 57,903 6.51341 19.26888 0 99 -------------+--------------------------------------------------------- first_mo | 57,903 6.502478 19.26879 0 99 dr_cf1 | 58,094 22.49286 26.44417 0 99 dr_cf2 | 58,094 15.25324 24.25432 0 99 dr_cf3 | 58,094 7.928237 21.25369 0 99 dr_cf4 | 58,094 3.598685 16.41819 0 99 -------------+--------------------------------------------------------- dr_wgt | 57,903 403.3643 368.7758 44 999 dr_hgt | 57,903 124.9957 222.2231 34 999 last_yr | 57,903 1184.381 2042.84 0 9999 first_yr | 57,903 1184.148 2042.747 0 9999 dr_zip | 57,903 53083.31 28081.64 0 99999 -------------+--------------------------------------------------------- month | 58,094 6.642734 3.374547 1 12 harm_ev | 58,094 16.15857 11.78434 1 99 man_coll | 58,094 2.269598 4.966581 0 99 hit_run | 58,094 .0734499 .3877789 0 5 ve_forms | 58,094 1.85341 1.061431 1 22 by Jean Roth , jroth@nber.org , 18 Apr 2016