Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 74,331 27.56904 16.35748 1 56 st_case | 74,331 276347.7 163535.3 10001 560075 ve_forms | 74,331 1.952254 3.858243 1 90 veh_no | 74,331 1.40504 2.274575 0 90 per_no | 74,331 1.629199 1.666706 1 46 -------------+--------------------------------------------------------- str_veh | 74,331 .0857112 .299534 0 20 county | 74,331 92.44949 97.53118 0 999 day | 74,331 15.69507 8.867015 1 31 month | 74,331 6.72726 3.364329 1 12 hour | 74,331 13.35872 8.663321 0 99 -------------+--------------------------------------------------------- minute | 74,331 29.00149 18.02632 0 99 road_fnc | 74,331 8.429431 6.082122 1 99 harm_ev | 74,331 16.06709 12.38424 1 99 man_coll | 74,331 2.280448 4.87197 0 99 sch_bus | 74,331 .0073993 .0857011 0 1 -------------+--------------------------------------------------------- make | 68,171 33.76704 25.21998 1 99 mak_mod | 68,171 34111.56 25352.89 1398 99999 body_typ | 68,171 24.23325 25.93356 1 99 mod_year | 68,171 2123.583 974.5005 1914 9999 tow_veh | 68,171 .0735503 .4255866 0 9 -------------+--------------------------------------------------------- spec_use | 68,171 .2021241 4.261388 0 99 emer_use | 68,171 .0241892 .4335415 0 9 rollover | 68,171 .2688093 .7699531 0 9 impact1 | 68,171 15.55373 21.52732 0 99 fire_exp | 68,171 .0305702 .1721513 0 1 -------------+--------------------------------------------------------- age | 74,331 57.53743 133.7213 0 999 sex | 74,331 1.445817 1.014443 1 9 per_typ | 74,331 1.679286 1.214478 1 10 inj_sev | 74,331 2.514173 1.78337 0 9 seat_pos | 74,331 13.67668 11.97319 0 99 -------------+--------------------------------------------------------- rest_use | 74,331 20.38682 34.49164 0 99 rest_mis | 74,331 .6664111 2.205275 0 8 air_bag | 74,331 19.84465 31.38598 0 99 ejection | 74,331 1.433682 2.939421 0 9 ej_path | 74,331 .7492567 2.416396 0 9 -------------+--------------------------------------------------------- extricat | 74,331 .1945218 .910988 0 9 drinking | 74,331 3.975111 4.02991 0 9 alc_det | 74,331 7.74701 2.637663 1 9 alc_status | 74,331 1.203011 1.837062 0 9 atst_typ | 74,331 5.198033 20.62388 0 99 -------------+--------------------------------------------------------- alc_res | 74,331 60.51861 44.42939 0 99 drugs | 74,331 4.970174 3.959425 0 9 drug_det | 74,331 7.394559 1.851977 1 8 dstatus | 74,331 .9999865 1.797022 0 9 drugtst1 | 74,331 .7067038 1.63837 0 9 -------------+--------------------------------------------------------- drugtst2 | 74,331 .0668496 .3497577 0 8 drugtst3 | 74,331 .0312386 .2421779 0 9 drugres1 | 74,331 109.5235 275.5356 0 999 drugres2 | 74,331 26.98446 129.1844 0 998 drugres3 | 74,331 14.73432 103.3938 0 998 -------------+--------------------------------------------------------- hospital | 74,331 2.161992 2.477659 0 9 doa | 74,331 1.778424 3.056957 0 9 death_da | 74,331 56.16496 36.39276 1 99 death_mo | 74,331 52.19323 40.42832 1 99 death_yr | 74,331 5845.994 3414.747 2013 9999 -------------+--------------------------------------------------------- death_hr | 74,331 57.24673 37.76441 0 99 death_mn | 74,331 63.82963 31.76736 0 99 death_tm | 74,331 5788.503 3805.893 0 9999 lag_hrs | 74,331 599.6929 482.6735 0 999 lag_mins | 74,331 65.64697 41.79144 0 99 -------------+--------------------------------------------------------- p_sf1 | 74,331 .3068572 4.848072 0 99 p_sf2 | 74,331 .1070347 3.236643 0 99 p_sf3 | 74,331 .103658 3.198871 0 99 cert_no | 0 work_inj | 74,331 4.722242 3.955972 0 9 -------------+--------------------------------------------------------- hispanic | 74,331 8.85804 23.98661 0 99 race | 74,331 5.449947 21.22432 0 99 location | 74,331 .9738467 4.729951 0 99 by Jean Roth , jroth@nber.org , 22 Oct 2016