Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,322 43 0 43 43 county | 1,322 72 0 72 72 month | 1,322 6.578669 3.618265 1 12 day | 1,322 15.5711 8.437947 1 31 hour | 1,322 13.34796 7.007833 0 23 -------------+--------------------------------------------------------- minute | 1,322 20.51513 17.28915 0 55 ve_forms | 1,322 1.483359 .7655202 0 5 road_fnc | 0 harm_ev | 1,322 11.45764 6.418424 1 31 man_coll | 1,322 1.189107 1.667411 0 6 -------------+--------------------------------------------------------- sch_bus | 1,322 .0680787 .2519762 0 1 veh_no | 1,322 1.086989 .7559986 0 5 make | 1,066 23.36398 19.33167 1 99 body_typ | 1,066 15.43809 20.34497 2 99 mod_year | 1,066 71.30113 5.442343 12 99 -------------+--------------------------------------------------------- rollover | 1,066 .3180113 .6392441 0 2 tow_veh | 1,066 .0028143 .0529998 0 1 spec_use | 1,066 .3536585 .9242029 0 5 emer_use | 1,066 .0121951 .1098076 0 1 impact1 | 1,066 7.825516 5.035792 0 14 -------------+--------------------------------------------------------- impact2 | 1,066 8.443715 5.045067 0 15 impacts | 1,066 .8958724 .4641534 0 3 fire_exp | 1,066 .0159475 .1253311 0 1 wgtcd_tr | 1,196 8.72408 1.397232 0 9 per_no | 1,322 3.523449 8.344575 1 66 -------------+--------------------------------------------------------- age | 1,322 33.38048 20.67311 0 99 sex | 1,322 1.22239 .4160093 1 2 per_typ | 1,322 1.785174 .8313453 1 8 seat_pos | 1,322 19.23222 36.8006 0 99 man_rest | 1,322 .091528 .5951642 0 5 -------------+--------------------------------------------------------- aut_rest | 1,322 .0022693 .0825098 0 3 location | 1,322 1.884266 5.820901 0 99 ejection | 1,322 .03177 .1919375 0 2 extricat | 1,322 .0922844 .2895366 0 1 drinking | 1,322 .1354009 .3422808 0 1 -------------+--------------------------------------------------------- test_res | 1,322 82.50908 31.31719 0 97 inj_sev | 1,322 2.514372 1.520545 0 4 hospital | 1,322 .7027231 .4572324 0 1 death_mo | 1,322 2.698941 3.991681 0 12 death_da | 1,322 6.114221 9.228767 0 31 -------------+--------------------------------------------------------- death_yr | 1,322 31.62708 38.31357 0 79 death_hr | 1,322 5.363843 8.336325 0 99 death_mn | 1,322 7.832073 14.6242 0 99 lag_hrs | 536 30.72948 98.14292 0 999 lag_mins | 536 14.48134 17.41596 0 99 -------------+--------------------------------------------------------- p_cf1 | 1,322 1.74584 11.50396 0 99 p_cf2 | 1,322 1.57413 11.49094 0 99 p_cf3 | 1,322 1.366112 11.47999 0 99 st_case | 1,322 431628.2 1511.198 430001 433251 mak_mod | 1,066 2406.886 1942.041 101 9999 -------------+--------------------------------------------------------- vin_wgt | 1,024 9347.357 2037.687 1610 9999 whlbs_sh | 1,024 9161.551 2605.162 866 9999 whlbs_lg | 1,024 9090.107 2831.411 0 9999 mcycl_ds | 932 9957.48 632.9246 123 9999 death_tm | 1,322 544.2163 841.5825 0 9999 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016