Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 114,885 27.76402 15.8624 1 56 county | 114,885 86.03116 93.08535 0 999 month | 114,885 6.839091 3.342667 1 12 day | 114,885 15.67319 8.80239 1 31 hour | 114,885 13.21528 8.618119 0 99 -------------+--------------------------------------------------------- minute | 114,885 25.80056 18.20196 0 99 ve_forms | 114,885 1.662819 .8236099 0 18 road_fnc | 0 harm_ev | 114,885 13.36384 7.561899 1 99 man_coll | 114,885 1.618218 1.846881 0 9 -------------+--------------------------------------------------------- sch_bus | 114,885 .0065544 .0806937 0 1 veh_no | 114,885 1.242599 .7052549 0 18 make | 104,715 25.94237 22.48695 1 99 body_typ | 104,715 17.67319 22.12237 1 99 mod_year | 104,715 73.42989 5.869953 0 99 -------------+--------------------------------------------------------- rollover | 104,715 .3091343 .67378 0 2 tow_veh | 104,715 .0082032 .0901998 0 1 spec_use | 104,715 .020828 .3140181 0 9 emer_use | 104,715 .0016999 .0411944 0 1 impact1 | 104,715 10.26643 12.29584 0 99 -------------+--------------------------------------------------------- impact2 | 104,715 10.87583 13.28421 0 99 impacts | 104,715 1.17624 .6467067 0 9 fire_exp | 104,715 .0281049 .1652732 0 1 wgtcd_tr | 47,915 5.518689 3.802059 0 9 per_no | 114,885 1.669757 1.570147 1 43 -------------+--------------------------------------------------------- age | 114,885 31.70638 19.16318 0 99 sex | 114,885 1.28801 .4950077 1 9 per_typ | 114,885 1.55667 .7700202 1 9 seat_pos | 114,885 5.303556 17.88523 0 99 man_rest | 114,885 1.985568 3.636786 0 9 -------------+--------------------------------------------------------- aut_rest | 114,885 .0883492 .8851831 0 9 location | 114,885 .7756539 3.411897 0 99 ejection | 114,885 .21169 .9203494 0 9 extricat | 114,885 .1660095 .9727757 0 9 drinking | 114,885 .212865 .4093348 0 1 -------------+--------------------------------------------------------- test_res | 114,885 79.04458 34.98351 0 99 inj_sev | 114,885 2.668817 1.530942 0 9 hospital | 114,885 1.290699 2.219647 0 9 death_mo | 114,885 3.18065 5.395028 0 99 death_da | 114,885 7.100527 10.40259 0 99 -------------+--------------------------------------------------------- death_yr | 114,885 35.14026 39.26668 0 99 death_hr | 114,885 9.067433 20.31683 0 99 death_mn | 114,885 14.71564 24.39861 0 99 lag_hrs | 51,093 118.8821 299.6861 0 999 lag_mins | 51,093 25.57873 29.99618 0 99 -------------+--------------------------------------------------------- p_cf1 | 114,885 .9343866 8.022137 0 99 p_cf2 | 114,885 .6875484 7.83982 0 99 p_cf3 | 114,885 .6110458 7.722229 0 99 st_case | 114,885 278542.1 158452.7 10001 560199 mak_mod | 104,715 2628.93 2261.808 100 9999 -------------+--------------------------------------------------------- vin_wgt | 79,000 5146.088 3100.667 0 9999 whlbs_sh | 79,000 3579.847 3992.762 0 9999 whlbs_lg | 79,000 2965.716 4391.27 0 9999 mcycl_ds | 26,129 9132.365 2322.273 0 9999 death_tm | 114,885 921.4589 2051.814 0 9999 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016