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 | 472 43 0 43 43 veh_no | 472 1.347458 .6500318 1 5 -------------+--------------------------------------------------------- numoccs | 472 1.427966 1.325522 1 22 make | 472 48.31356 26.30822 2 99 model | 472 336.2945 325.0239 1 999 body_typ | 472 27.05932 33.80763 2 99 reg_stat | 472 46.55932 13.67661 43 99 -------------+--------------------------------------------------------- owner | 472 2.169492 1.88211 1 9 rollover | 472 .0720339 .37306 0 2 j_knife | 472 0 0 0 0 trav_sp | 472 951.1356 211.7743 0 999 haz_inv | 472 1 0 1 1 -------------+--------------------------------------------------------- haz_plac | 472 0 0 0 0 haz_cno | 472 0 0 0 0 haz_rel | 472 0 0 0 0 tow_veh | 472 .5529661 2.163525 0 9 v_config | 472 6.936441 23.90978 0 99 -------------+--------------------------------------------------------- cargo_bt | 472 10.12076 29.83771 0 99 hit_run | 472 .0720339 .2588183 0 1 rolinloc | 472 .125 .7922461 0 6 spec_use | 472 .3050847 1.630435 0 9 emer_use | 472 .3050847 1.630435 0 9 -------------+--------------------------------------------------------- impact1 | 472 9.082627 4.092294 0 12 impact2 | 472 9.201271 4.105788 0 13 underide | 472 .0190678 .4142586 0 9 deformed | 472 3.875 2.652413 0 9 impacts | 472 1.28178 .5856082 0 3 -------------+--------------------------------------------------------- towed | 472 1.866525 .7800472 1 9 fire_exp | 472 .0063559 .0795547 0 1 veh_cf1 | 472 .1525424 1.651749 0 18 veh_cf2 | 472 0 0 0 0 veh_man | 472 2.309322 3.621954 1 16 -------------+--------------------------------------------------------- avoid | 472 .0169492 .3682298 0 8 m_harm | 472 15.08263 10.78213 1 43 deaths | 472 .4957627 .5717918 0 3 seq1 | 472 15.71398 10.53982 1 43 seq2 | 472 3.389831 9.459745 0 43 -------------+--------------------------------------------------------- seq3 | 472 .6504237 4.319835 0 42 seq4 | 472 .0254237 .5523448 0 12 seq5 | 472 .0254237 .5523448 0 12 seq6 | 472 0 0 0 0 vin_lngt | 472 16.87288 .9625392 6 17 -------------+--------------------------------------------------------- bus_use | 472 .3199153 1.643809 0 9 gvwr | 472 .6419492 2.180053 0 9 unittype | 472 1 0 1 1 mcarr_i1 | 472 10.48729 30.49966 0 99 st_case | 472 430168.6 98.95098 430001 430347 -------------+--------------------------------------------------------- haz_id | 472 0 0 0 0 mak_mod | 472 48649.85 26482.28 2001 99999 mod_year | 472 2609.042 2125.754 1962 9999 vina_mod | 0 ser_tr | 0 -------------+--------------------------------------------------------- vin_bt | 0 mcarr_i2 | 0 fldcd_tr | 0 mcarr_id | 0 whlbs_sh | 443 2674.352 3502.77 0 9999 -------------+--------------------------------------------------------- whlbs_lg | 443 1950.388 3862.363 0 9999 mcycl_ds | 110 7700.355 3954.15 599 9999 vin_wgt | 364 4148.423 3331.212 0 9999 wgtcd_tr | 160 5.8375 3.709392 1 9 dr_pres | 472 1 0 1 1 -------------+--------------------------------------------------------- dr_drink | 472 .2309322 .4218763 0 1 l_state | 472 45.98305 14.42367 6 99 l_type | 472 1.709746 2.411594 0 9 l_status | 472 5.618644 2.088974 0 9 cdl_stat | 472 .7627119 2.493909 0 9 -------------+--------------------------------------------------------- l_endors | 472 .7436441 2.480489 0 9 l_compl | 472 3.15678 1.979941 0 9 l_restri | 472 .7436441 2.480489 0 9 violchg1 | 472 3.052966 3.480512 0 22 violchg2 | 472 18.85805 19.76644 0 69 -------------+--------------------------------------------------------- violchg3 | 472 8.313559 18.96547 0 69 speedrel | 472 .2944915 .4562975 0 1 prev_acc | 472 8.180085 27.28538 0 99 prev_sus | 472 8.180085 27.28538 0 99 prev_dwi | 472 8.180085 27.28538 0 99 -------------+--------------------------------------------------------- prev_spd | 472 8.404661 27.23008 0 99 prev_oth | 472 8.790254 27.13622 0 99 last_mo | 472 9.728814 27.01487 0 99 first_mo | 472 9.480932 27.05408 0 99 dr_cf1 | 472 19.59746 17.9864 0 87 -------------+--------------------------------------------------------- dr_cf2 | 472 22.86441 19.48811 0 90 dr_cf3 | 472 15.31992 25.59826 0 90 dr_cf4 | 472 3.627119 13.12154 0 90 dr_wgt | 472 883.5911 289.417 105 999 dr_hgt | 472 868.697 323.5263 57 999 -------------+--------------------------------------------------------- d_vision1 | 472 .4449153 6.356127 0 98 d_vision2 | 472 0 0 0 0 d_vision3 | 472 0 0 0 0 last_yr | 472 1319.5 2743.38 0 9999 first_yr | 472 1319.432 2743.363 0 9999 -------------+--------------------------------------------------------- dr_zip | 472 7502.896 24337.53 0 99999 month | 472 6.012712 3.472037 1 12 day | 472 16.39619 9.087556 1 31 hour | 472 12.61441 8.384322 0 99 minute | 472 25.57839 17.25499 0 99 -------------+--------------------------------------------------------- harm_ev | 472 15.88347 10.58106 1 43 man_coll | 472 1.728814 2.413377 0 9 ve_forms | 472 1.694915 .8935577 1 5 by Jean Roth , jroth@nber.org , 18 Apr 2016