Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 816 43 0 43 43 veh_no | 816 1.164216 .8154904 0 5 per_no | 816 1.697304 2.162206 1 22 n_mot_no | 816 .1715686 .3772363 0 1 age | 816 94.82843 231.8435 0 999 -------------+--------------------------------------------------------- sex | 816 1.555147 1.496629 1 9 per_typ | 816 1.985294 1.582816 1 8 seat_pos | 816 11.48775 8.547226 0 52 rest_use | 816 4.817402 18.15637 0 99 air_bag | 816 14.21078 18.98814 0 99 -------------+--------------------------------------------------------- ejection | 816 2.344363 3.664158 0 9 ej_path | 816 .3431373 1.669621 0 9 extricat | 816 .3198529 1.667266 0 9 location | 816 2.262255 5.018478 0 18 drinking | 816 6.137255 3.321731 0 8 -------------+--------------------------------------------------------- alc_det | 816 7.218137 3.180302 1 9 atst_typ | 816 .7708333 .6720957 0 2 alc_res | 816 39.87377 44.95956 0 97 alc_status | 816 1.267157 .9642441 0 2 drugs | 816 8 0 8 8 -------------+--------------------------------------------------------- dstatus | 816 .7843137 .9770616 0 2 drug_det | 816 8 0 8 8 drugtst1 | 816 .3921569 .4885308 0 1 drugres1 | 816 27.08088 101.269 0 695 drugtst2 | 816 .0110294 .1045043 0 1 -------------+--------------------------------------------------------- drugres2 | 816 3.868873 44.70043 0 695 drugtst3 | 816 .0012255 .035007 0 1 drugres3 | 816 .1433824 4.095819 0 117 inj_sev | 816 2.563725 1.58702 0 4 hospital | 816 .5171569 .500012 0 1 -------------+--------------------------------------------------------- death_mo | 816 51.45098 40.71894 1 88 death_da | 816 55.99387 36.1097 1 88 death_hr | 816 54.13235 38.02146 0 88 death_mn | 816 59.0527 34.22909 0 88 lag_hrs | 816 569.2316 483.5697 0 999 -------------+--------------------------------------------------------- lag_mins | 816 59.87132 45.11395 0 99 race | 816 .4571078 .5177805 0 2 hispanic | 816 .8946078 .9950406 0 2 p_cf1 | 816 .127451 .6134936 0 4 p_cf2 | 816 .1568627 .9173993 0 15 -------------+--------------------------------------------------------- p_cf3 | 816 0 0 0 0 work_inj | 816 4.421569 3.980163 0 8 doa | 816 1.778186 3.052275 0 8 st_case | 816 430172.4 98.65033 430001 430347 death_yr | 816 5810.996 3422.442 2009 8888 -------------+--------------------------------------------------------- death_tm | 816 5472.288 3834.042 3 8888 cert_no | 0 make | 676 45.92604 25.17842 2 99 body_typ | 676 23.06065 30.67064 2 99 rollover | 674 .1186944 .4728976 0 2 -------------+--------------------------------------------------------- tow_veh | 676 .3860947 1.825023 0 9 spec_use | 676 .2130178 1.369144 0 9 emer_use | 676 .2130178 1.369144 0 9 impact1 | 676 9.227811 3.944601 0 12 impact2 | 676 9.319527 4.023078 0 13 -------------+--------------------------------------------------------- impacts | 676 1.338757 .6005239 0 3 fire_exp | 676 .0044379 .0665186 0 1 mak_mod | 676 46236.17 25324.15 2001 99999 mod_year | 676 2436.318 1821.175 1962 9999 vina_mod | 0 -------------+--------------------------------------------------------- ser_tr | 0 vin_bt | 0 whlbs_sh | 645 2442.657 3267.553 0 9999 whlbs_lg | 645 1735.501 3605.919 0 9999 mcycl_ds | 131 7931.901 3809.522 599 9999 -------------+--------------------------------------------------------- vin_wgt | 516 3924.291 3165.797 0 9999 wgtcd_tr | 221 5.538462 3.598562 1 9 county | 816 72 0 72 72 month | 816 6.129902 3.452434 1 12 day | 816 16.51103 9.113995 1 31 -------------+--------------------------------------------------------- hour | 816 12.11152 8.818612 0 99 minute | 816 24.83333 17.30397 0 99 road_fnc | 816 7.872549 5.224617 1 16 harm_ev | 816 15.72181 10.66523 1 43 man_coll | 816 1.686275 2.483241 0 9 -------------+--------------------------------------------------------- sch_bus | 816 .0110294 .1045043 0 1 ve_forms | 816 1.620098 .8510047 1 5 by Jean Roth , jroth@nber.org , 18 Apr 2016