Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 64,144 27.88665 15.8676 1 56 ve_forms | 64,144 1.770454 1.396331 1 45 harm_ev | 64,144 13.17397 6.75852 1 99 man_coll | 64,144 1.772699 1.865335 0 9 hit_run | 64,144 .0245541 .2079717 0 3 -------------+--------------------------------------------------------- veh_no | 64,144 1.385227 .9098306 1 45 make | 64,144 27.52948 24.14924 1 99 model | 64,144 36.90574 38.13778 0 99 body_typ | 64,144 18.44991 22.5509 1 99 mod_year | 64,144 72.8482 5.647905 0 99 -------------+--------------------------------------------------------- reg_stat | 64,144 28.26676 17.65311 0 99 rollover | 64,144 .2530712 .6166254 0 2 j_knife | 0 trav_sp | 64,144 77.08885 30.0182 0 99 tow_veh | 64,144 .0078417 .0882063 0 1 -------------+--------------------------------------------------------- spec_use | 64,144 .0197524 .3404821 0 9 emer_use | 64,144 .0017305 .0415634 0 1 impact1 | 64,144 10.61658 12.59136 0 99 impact2 | 64,144 11.09858 13.40272 0 99 deformed | 64,144 5.161215 1.698305 0 9 -------------+--------------------------------------------------------- impacts | 64,144 1.189511 .6504302 0 9 towaway | 64,144 2.151191 1.507599 1 9 fire_exp | 64,144 .0246321 .1550023 0 1 ocupants | 64,144 2.411278 8.184338 0 99 deaths | 64,144 .6268708 .6369301 0 7 -------------+--------------------------------------------------------- veh_cf1 | 64,144 4.206364 19.75167 0 99 veh_cf2 | 64,144 4.128975 19.7557 0 99 m_harm | 0 chas_tr | 18,664 99 0 99 99 wgtcd_tr | 29,809 6.550035 3.470776 0 9 -------------+--------------------------------------------------------- vin_lngt | 64,144 30.91627 36.03785 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 | 64,144 1.024975 .3769051 1 9 dr_drink | 64,144 .2053505 .76867 0 9 -------------+--------------------------------------------------------- l_state | 64,144 28.83668 17.68004 1 99 l_status | 64,144 3.133543 1.128771 0 9 l_restri | 64,144 .7601958 1.868881 0 9 dr_train | 64,144 6.924638 3.610345 0 9 viol_chg | 64,144 .4503773 1.47794 0 9 -------------+--------------------------------------------------------- prev_acc | 64,144 4.243265 19.38418 0 99 prev_sus | 64,144 4.091217 19.41146 0 99 prev_dwi | 64,144 4.024383 19.42124 0 99 prev_spd | 64,144 4.4959 19.3513 0 99 prev_oth | 64,144 4.338083 19.3743 0 99 -------------+--------------------------------------------------------- last_mo | 64,144 7.144363 19.20531 0 99 last_yr | 64,144 41.56397 39.48359 0 99 first_mo | 64,144 7.079992 19.21797 0 99 first_yr | 64,144 41.19211 39.15169 0 99 dr_cf1 | 64,144 21.34136 21.47583 0 99 -------------+--------------------------------------------------------- dr_cf2 | 64,144 10.68487 19.93222 0 99 dr_cf3 | 64,144 3.616659 14.85929 0 99 st_case | 64,144 280749.1 158596.6 10001 563162 mak_mod | 64,144 2789.854 2428.945 100 9999 vin_wgt | 50,266 5792.594 3300.841 0 9999 -------------+--------------------------------------------------------- whlbs_sh | 50,266 4408.555 4297.498 0 9999 whlbs_lg | 50,266 3875.497 4721.33 0 9999 mcycl_ds | 21,397 9313.91 2042.362 0 9999 vina_mod | 0 ser_tr | 0 -------------+--------------------------------------------------------- vin | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016