Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 55,534 28.33745 15.60294 1 56 ve_forms | 55,534 1.717128 .9515042 1 23 harm_ev | 55,534 13.11256 6.723322 1 99 man_coll | 55,534 1.729751 1.931405 0 9 hit_run | 55,534 .0222566 .1916866 0 2 -------------+--------------------------------------------------------- veh_no | 55,534 1.358609 .6813339 1 23 make | 55,534 29.05226 27.56441 1 99 model | 55,534 36.91794 39.92133 0 99 body_typ | 55,534 17.35094 23.06472 1 99 mod_year | 55,534 70.05724 5.492012 1 99 -------------+--------------------------------------------------------- reg_stat | 55,534 28.34676 16.72897 0 99 rollover | 0 j_knife | 0 trav_sp | 55,534 76.95147 29.75892 0 99 tow_veh | 55,534 .0136853 .116182 0 1 -------------+--------------------------------------------------------- spec_use | 55,534 .0565599 .6531596 0 9 emer_use | 0 impact1 | 55,534 10.55856 14.05686 0 99 impact2 | 55,534 11.31134 16.68543 0 99 deformed | 55,534 5.211348 1.82934 0 9 -------------+--------------------------------------------------------- impacts | 55,534 1.163756 .7332645 0 9 towaway | 55,534 2.711672 1.661629 2 9 fire_exp | 55,534 .0225447 .1484482 0 1 ocupants | 55,534 4.7219 16.67186 0 99 deaths | 55,534 .6254727 .6448337 0 8 -------------+--------------------------------------------------------- veh_cf1 | 55,534 5.28361 22.03295 0 99 veh_cf2 | 55,534 5.192801 22.04211 0 99 m_harm | 0 chas_tr | 23,568 99 0 99 99 wgtcd_tr | 29,030 7.662935 2.888806 0 9 -------------+--------------------------------------------------------- vin_lngt | 55,534 44.5005 42.11564 4 99 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 mcycl_ty | 0 dr_pres | 55,534 1.034411 .491903 1 9 dr_drink | 55,534 .1294702 .6706762 0 9 -------------+--------------------------------------------------------- l_state | 55,534 29.2983 17.5931 1 99 l_status | 55,534 3.161613 1.207785 0 9 l_restri | 55,534 1.393111 3.125745 0 9 dr_train | 55,534 6.811125 3.768674 0 9 viol_chg | 55,534 .4994778 1.537071 0 9 -------------+--------------------------------------------------------- prev_acc | 55,534 7.262668 25.00685 0 99 prev_sus | 55,534 6.645172 24.36403 0 99 prev_dwi | 55,534 6.506753 24.35921 0 99 prev_spd | 55,534 7.126967 24.23961 0 99 prev_oth | 55,534 7.184896 24.25579 0 99 -------------+--------------------------------------------------------- last_mo | 55,534 10.02307 23.7778 0 99 last_yr | 55,534 46.76893 37.52733 0 99 first_mo | 55,534 10.03068 23.7812 0 99 first_yr | 55,534 45.49588 36.70827 0 99 dr_cf1 | 55,534 22.60176 23.64423 0 99 -------------+--------------------------------------------------------- dr_cf2 | 55,534 10.51959 22.03134 0 99 dr_cf3 | 55,534 3.830716 17.58347 0 99 st_case | 55,534 284104.8 155946 10001 560172 mak_mod | 55,534 2942.144 2773.115 100 9999 vin_wgt | 49,619 6473.669 3411.867 0 9999 -------------+--------------------------------------------------------- whlbs_sh | 49,619 5333.614 4438.911 0 9999 whlbs_lg | 49,619 4884.753 4876.979 0 9999 mcycl_ds | 24,021 9899.546 777.7803 0 9999 vina_mod | 0 ser_tr | 0 -------------+--------------------------------------------------------- vin | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016