Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,345 42.99851 .0385471 42 43 county | 1,345 72.06394 1.657527 72 115 month | 1,345 6.350186 3.645168 1 12 day | 1,345 15.7316 8.846244 1 31 hour | 1,345 13.7026 7.641865 0 99 -------------+--------------------------------------------------------- minute | 1,345 24.07807 16.53011 0 99 ve_forms | 1,345 1.609665 .9137159 1 7 road_fnc | 1,345 9.015613 5.688116 1 16 harm_ev | 1,345 14.10409 10.39851 1 43 man_coll | 1,345 1.202974 1.660462 0 6 -------------+--------------------------------------------------------- sch_bus | 1,345 .002974 .0544733 0 1 veh_no | 1,345 1.113755 .7809085 0 7 make | 1,100 36.70636 22.31881 1 99 body_typ | 1,100 14.52909 25.97679 2 99 mod_year | 1,100 81.44455 6.831497 63 99 -------------+--------------------------------------------------------- rollover | 1,100 .1054545 .3953406 0 2 tow_veh | 1,100 0 0 0 0 spec_use | 1,100 0 0 0 0 emer_use | 1,100 0 0 0 0 impact1 | 1,100 8.463636 4.565323 0 14 -------------+--------------------------------------------------------- impact2 | 1,100 8.600909 4.564152 0 13 impacts | 1,100 .9472727 .2354826 0 2 fire_exp | 1,100 0 0 0 0 wgtcd_tr | 420 6.816667 3.443677 1 9 per_no | 1,345 1.6171 1.348447 1 15 -------------+--------------------------------------------------------- n_mot_no | 1,345 .1821561 .3861167 0 1 age | 1,345 37.69145 22.51046 0 99 sex | 1,345 1.510037 1.471989 1 9 per_typ | 1,345 2.050558 1.543169 1 9 seat_pos | 1,345 11.13234 7.688138 0 99 -------------+--------------------------------------------------------- man_rest | 1,345 .9211896 1.958203 0 9 aut_rest | 1,345 .327881 1.686873 0 9 location | 1,345 2.473606 5.283152 0 18 ejection | 1,345 .0133829 .1149505 0 1 extricat | 1,345 0 0 0 0 -------------+--------------------------------------------------------- alc_det | 1,345 7.8 2.828322 1 9 drinking | 1,345 6.840892 2.72799 0 9 test_res | 1,345 60.1145 44.00582 0 99 toxclgy | 1,345 .0066914 .2454038 0 9 inj_sev | 1,345 2.460967 1.57836 0 4 -------------+--------------------------------------------------------- hospital | 1,345 .5717472 .5464485 0 9 death_mo | 1,345 2.549442 3.85594 0 12 death_da | 1,345 6.425279 9.597663 0 31 death_yr | 1,345 35.93234 43.68521 0 90 death_hr | 1,345 5.262454 8.293372 0 99 -------------+--------------------------------------------------------- death_mn | 1,345 9.733086 16.27249 0 99 lag_hrs | 543 26.95764 91.50694 0 999 lag_mins | 543 13.55064 17.92607 0 99 p_cf1 | 1,345 0 0 0 0 p_cf2 | 1,345 0 0 0 0 -------------+--------------------------------------------------------- p_cf3 | 1,345 0 0 0 0 work_inj | 1,345 4.77026 3.926597 0 8 st_case | 1,345 430262.6 365.9263 421734 430547 mak_mod | 1,100 3754.475 2232.862 101 9999 vin_wgt | 947 5394.318 3661.152 1444 9999 -------------+--------------------------------------------------------- whlbs_sh | 948 4022.778 4249.06 799 9999 whlbs_lg | 948 3432.986 4675.763 0 9999 mcycl_ds | 318 9251.742 2563.672 49 9999 death_tm | 1,345 535.9784 838.5776 0 9999 ser_tr | 0 -------------+--------------------------------------------------------- vina_mod | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016