Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 62,703 27.07193 15.95499 1 56 ve_forms | 62,703 1.799579 .9336571 1 17 harm_ev | 62,703 15.07379 10.33339 1 99 man_coll | 62,703 1.679792 1.771953 0 9 hit_run | 62,703 .0636333 .3365051 0 3 -------------+--------------------------------------------------------- veh_no | 62,703 1.399789 .6907353 1 17 make | 62,703 28.79639 23.02585 1 99 model | 62,703 50.11202 35.99231 0 99 body_typ | 62,703 23.06957 26.78391 1 99 mod_year | 62,703 81.56359 6.040104 0 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 reg_stat | 62,703 31.38826 22.27524 0 99 rollover | 62,703 .2748353 .6376035 0 2 j_knife | 62,703 .0668868 .2927978 0 3 trav_sp | 62,703 74.95169 30.2287 0 99 -------------+--------------------------------------------------------- haz_carg | 62,703 .0595984 .7162864 0 9 tow_veh | 62,703 .1144602 .6641976 0 9 spec_use | 62,703 .0545747 .6474882 0 9 emer_use | 62,703 .0017862 .042226 0 1 impact1 | 62,703 10.74913 13.76545 0 99 -------------+--------------------------------------------------------- impact2 | 62,703 10.74682 13.7423 0 99 deformed | 62,703 5.29072 1.6836 0 9 impacts | 62,703 1.162656 .6005228 0 9 towaway | 62,703 1.968327 .9570961 1 9 fire_exp | 62,703 .0287706 .1671624 0 1 -------------+--------------------------------------------------------- ocupants | 62,703 3.724016 13.91575 0 99 deaths | 62,703 .624691 .6303091 0 27 veh_cf1 | 62,703 4.03019 17.60187 0 99 veh_cf2 | 62,703 3.018516 16.95295 0 99 veh_man | 62,703 5.773743 11.92754 1 99 -------------+--------------------------------------------------------- m_harm | 62,703 13.47486 10.20662 1 99 wgtcd_tr | 22,848 4.523678 3.586882 0 9 vin_lngt | 62,703 19.2253 18.76612 0 99 dr_pres | 62,703 1.017687 .1773148 1 9 dr_drink | 62,703 .2857917 .4517943 0 1 -------------+--------------------------------------------------------- l_state | 62,703 29.25482 19.71873 1 99 l_status | 62,703 4.967753 1.610678 0 9 l_compl | 62,703 3.028563 1.316285 0 9 l_restri | 62,703 .9545476 2.007031 0 9 viol_chg | 62,703 .8967035 2.303293 0 9 -------------+--------------------------------------------------------- prev_acc | 62,703 4.612204 20.34128 0 99 prev_sus | 62,703 4.628853 20.35329 0 99 prev_dwi | 62,703 4.448288 20.37149 0 99 prev_spd | 62,703 4.806038 20.31089 0 99 prev_oth | 62,703 4.690573 20.33247 0 99 -------------+--------------------------------------------------------- last_mo | 62,703 7.393187 20.12127 0 99 last_yr | 62,703 44.59327 44.06229 0 99 first_mo | 62,703 7.399805 20.12214 0 99 first_yr | 62,703 44.28735 43.76894 0 99 dr_cf1 | 62,703 25.17082 25.71292 0 99 -------------+--------------------------------------------------------- dr_cf2 | 62,703 15.8035 23.9362 0 99 dr_cf3 | 62,703 7.18055 20.65397 0 99 st_case | 62,703 271613.7 159307.1 10001 560131 mak_mod | 62,703 2929.751 2314.022 101 9999 vin_wgt | 42,875 4061.46 2708.136 0 9999 -------------+--------------------------------------------------------- whlbs_sh | 42,875 2359.898 3168.159 0 9999 whlbs_lg | 42,875 1558.203 3512.472 0 9999 mcycl_ds | 9,535 6836.274 4396.374 49 9999 dr_zip | 62,703 52427.63 29257.71 0 99999 vin | 0 -------------+--------------------------------------------------------- ser_tr | 0 vina_mod | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016