Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,174 43 0 43 43 county | 1,174 72 0 72 72 month | 1,174 6.384157 3.502008 1 12 day | 1,174 15.80835 9.062437 1 31 hour | 1,174 13.96848 7.200918 0 24 -------------+--------------------------------------------------------- minute | 1,174 23.64906 16.97743 0 55 ve_forms | 1,174 1.582624 .6918633 1 4 road_fnc | 1,174 8.747871 5.521821 1 16 harm_ev | 1,174 13.36968 8.896562 1 43 man_coll | 1,174 1.293015 1.682162 0 6 -------------+--------------------------------------------------------- sch_bus | 1,174 0 0 0 0 veh_no | 1,174 1.149063 .7585343 0 4 make | 958 36.08038 22.93339 1 99 body_typ | 958 16.45511 27.30178 2 99 mod_year | 958 82.85491 6.650778 63 99 -------------+--------------------------------------------------------- rollover | 958 .0929019 .3994925 0 2 tow_veh | 958 0 0 0 0 spec_use | 958 0 0 0 0 emer_use | 958 0 0 0 0 impact1 | 958 8.811065 4.186209 0 14 -------------+--------------------------------------------------------- impact2 | 958 8.893528 4.300268 0 14 impacts | 958 1.025052 .3502481 0 3 fire_exp | 958 0 0 0 0 wgtcd_tr | 372 6.053763 3.688302 1 9 per_no | 1,174 1.663543 1.434593 1 16 -------------+--------------------------------------------------------- n_mot_no | 1,174 .1839864 .3876382 0 1 age | 1,174 37.90375 23.9994 0 99 sex | 1,174 1.57155 1.637031 1 9 per_typ | 1,174 2.054514 1.517309 1 6 seat_pos | 1,174 11.57922 8.600944 0 52 -------------+--------------------------------------------------------- man_rest | 1,174 1.132027 2.134149 0 9 aut_rest | 1,174 .4293015 1.918997 0 9 location | 1,174 2.481261 5.278201 0 18 ejection | 1,174 .0204429 .1415701 0 1 extricat | 1,174 0 0 0 0 -------------+--------------------------------------------------------- alc_det | 1,174 7.531516 3.057886 1 9 drinking | 1,174 6.570698 2.968954 0 8 test_res | 1,174 62.02555 43.80314 0 99 toxclgy | 1,174 0 0 0 0 inj_sev | 1,174 2.494889 1.552016 0 4 -------------+--------------------------------------------------------- hospital | 1,174 .5672913 .4956623 0 1 death_mo | 1,174 2.516184 3.784609 0 12 death_da | 1,174 6.283646 9.459139 0 31 death_yr | 1,174 36.2632 44.16517 0 91 death_hr | 1,174 5.189097 7.920966 0 23 -------------+--------------------------------------------------------- death_mn | 1,174 9.25724 15.96705 0 59 lag_hrs | 473 27.80761 88.29092 0 721 lag_mins | 473 12.73784 17.36787 0 59 p_cf1 | 1,174 .0962521 .611152 0 5 p_cf2 | 1,174 .0042589 .1459271 0 5 -------------+--------------------------------------------------------- p_cf3 | 1,174 0 0 0 0 work_inj | 1,174 4.777683 3.924585 0 8 st_case | 1,174 430233.2 131.4876 430001 430453 mak_mod | 958 3690.497 2298.021 102 9999 vin_wgt | 775 5407.226 3693.751 1444 9999 -------------+--------------------------------------------------------- whlbs_sh | 774 3866.442 4201.686 799 9999 whlbs_lg | 774 3248.101 4631.091 0 9999 mcycl_ds | 247 8906.162 3004.806 49 9999 death_tm | 1,174 528.167 801.5553 0 2350 ser_tr | 0 -------------+--------------------------------------------------------- vina_mod | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016