Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 685 43 0 43 43 ve_forms | 685 1.621898 .7714492 1 5 harm_ev | 685 14.55328 10.01806 1 44 man_coll | 685 1.113869 1.502979 0 6 hit_run | 685 .2379562 .6285288 0 2 -------------+--------------------------------------------------------- veh_no | 685 1.310949 .5783217 1 5 make | 685 35.9927 27.23181 1 99 model | 685 50.5927 38.48823 0 99 body_typ | 685 20.80584 32.03167 2 99 mod_year | 685 78.74307 8.142264 57 99 -------------+--------------------------------------------------------- reg_stat | 685 43.31095 4.066474 43 99 rollover | 685 .1386861 .4893976 0 2 j_knife | 685 .0233577 .1693912 0 2 trav_sp | 685 98.69197 4.837718 0 99 haz_carg | 685 .8029197 2.565058 0 9 -------------+--------------------------------------------------------- tow_veh | 685 .8087591 2.543754 0 9 spec_use | 685 .8189781 2.560254 0 9 emer_use | 685 0 0 0 0 impact1 | 685 15.83212 24.21787 0 99 impact2 | 685 15.91971 24.19821 0 99 -------------+--------------------------------------------------------- deformed | 685 5.129927 2.153277 0 9 impacts | 685 1.00292 .3198916 0 3 towaway | 685 1.594161 .4914126 1 2 fire_exp | 685 .0087591 .0932475 0 1 ocupants | 685 12.48467 30.55316 0 99 -------------+--------------------------------------------------------- deaths | 685 .4554745 .6234829 0 6 veh_cf1 | 685 3.865693 10.01604 0 31 veh_cf2 | 685 .0481752 1.1868 0 31 veh_man | 685 3.976642 6.732963 1 99 m_harm | 685 13.15912 9.912015 1 43 -------------+--------------------------------------------------------- wgtcd_tr | 403 8.272953 2.154467 1 9 vin_lngt | 685 56.26131 42.74784 5 99 dr_pres | 685 1.00438 .0660814 1 2 dr_drink | 685 .270073 .4443217 0 1 l_state | 685 43.29489 4.338464 29 99 -------------+--------------------------------------------------------- l_cl_veh | 685 3.176642 2.230709 1 9 l_status | 685 2.748905 2.289313 1 9 l_restri | 685 1.048175 2.731506 0 9 dr_train | 685 8.956204 .6053926 0 9 viol_chg | 685 2.865693 2.569969 0 9 -------------+--------------------------------------------------------- prev_acc | 685 10.26131 30.19779 0 99 prev_sus | 685 10.28175 30.19122 0 99 prev_dwi | 685 10.27591 30.19311 0 99 prev_spd | 685 10.26423 30.1969 0 99 prev_oth | 685 10.96204 29.99476 0 99 -------------+--------------------------------------------------------- last_mo | 685 12.13285 29.74371 0 99 last_yr | 685 36.51679 43.14495 0 99 first_mo | 685 12.1562 29.74222 0 99 first_yr | 685 36.30657 42.91934 0 99 dr_cf1 | 685 28.92555 20.76868 0 91 -------------+--------------------------------------------------------- dr_cf2 | 685 24.50365 36.8026 0 91 dr_cf3 | 685 6.189781 22.4863 0 91 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 fldcd_tr | 0 st_case | 685 430251.7 146.3001 430001 430508 mak_mod | 685 3649.863 2716.249 107 9999 -------------+--------------------------------------------------------- vin_wgt | 625 7126.146 3638.255 0 9999 whlbs_sh | 625 6200.355 4445.996 866 9999 whlbs_lg | 625 5830.403 4884.103 0 9999 mcycl_ds | 367 9690.005 1683.845 171 9999 vin | 0 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016