Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,121 43 0 43 43 county | 1,121 72 0 72 72 month | 1,121 6.421053 3.577118 1 12 day | 1,121 15.70027 9.078393 1 31 hour | 1,121 14.54683 10.36701 0 99 -------------+--------------------------------------------------------- minute | 1,121 24.04817 17.78069 0 99 ve_forms | 1,121 1.494202 .9220572 1 9 road_fnc | 1,121 4.859946 2.204098 2 8 harm_ev | 1,121 15.14987 11.31879 1 99 man_coll | 1,121 .9536128 1.661966 0 9 -------------+--------------------------------------------------------- sch_bus | 1,121 0 0 0 0 veh_no | 1,121 1.042819 .8215538 0 9 make | 876 32.40068 25.35648 1 99 body_typ | 876 17.3516 29.24903 1 99 mod_year | 876 77.17009 7.400977 61 99 -------------+--------------------------------------------------------- rollover | 876 .1609589 .5152584 0 2 tow_veh | 876 .5468037 2.146913 0 9 spec_use | 876 .5513699 2.152125 0 9 emer_use | 876 0 0 0 0 impact1 | 876 15.22831 23.50082 0 99 -------------+--------------------------------------------------------- impact2 | 876 15.20662 23.51188 0 99 impacts | 876 1.022831 .7199551 0 9 fire_exp | 876 .0011416 .0337869 0 1 wgtcd_tr | 574 8.439024 1.916843 1 9 per_no | 1,121 1.556646 1.144339 1 9 -------------+--------------------------------------------------------- n_mot_no | 1,121 .4834969 5.122773 0 99 age | 1,121 38.46209 23.99469 0 99 sex | 1,121 1.585192 1.715505 1 9 per_typ | 1,121 2.163247 1.627094 1 8 seat_pos | 1,121 24.58073 34.89537 0 99 -------------+--------------------------------------------------------- man_rest | 1,121 .5923283 1.9623 0 9 aut_rest | 1,121 .3371989 1.709882 0 9 location | 1,121 4.256913 14.52805 0 99 ejection | 1,121 .0597681 .5629923 0 9 extricat | 1,121 .0401427 .4810643 0 9 -------------+--------------------------------------------------------- drinking | 1,121 2.049955 3.465545 0 9 test_res | 1,121 73.27832 38.4877 0 99 inj_sev | 1,121 2.483497 1.692405 0 9 hospital | 1,121 .6387154 .7852887 0 9 death_mo | 1,121 2.717217 3.944182 0 12 -------------+--------------------------------------------------------- death_da | 1,121 6.683318 9.791331 0 31 death_yr | 1,121 35.11329 40.59513 0 83 death_hr | 1,121 8.234612 17.74098 0 99 death_mn | 1,121 11.8653 21.74558 0 99 lag_hrs | 480 92.32083 261.526 0 999 -------------+--------------------------------------------------------- lag_mins | 480 16.98333 27.03133 0 99 p_cf1 | 1,121 2.842997 14.96061 0 99 p_cf2 | 1,121 2.355932 14.90604 0 99 p_cf3 | 1,121 2.296164 14.90792 0 99 st_case | 1,121 430229.6 128.5329 430001 430454 -------------+--------------------------------------------------------- mak_mod | 876 3303.412 2525.805 106 9999 vin_wgt | 811 7372.522 3641.162 1610 9999 whlbs_sh | 811 6806.871 4316.217 866 9999 whlbs_lg | 811 6490.76 4746.486 0 9999 mcycl_ds | 539 9828.917 1074.856 970 9999 -------------+--------------------------------------------------------- death_tm | 1,121 835.3265 1791.434 0 9999 vina_mod | 0 ser_tr | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016