Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 1,410 43 0 43 43 county | 1,410 71.79574 3.830805 0 72 month | 1,410 6.719858 3.426439 1 12 day | 1,410 15.37518 8.935322 1 31 hour | 1,410 12.92766 7.517409 0 24 -------------+--------------------------------------------------------- minute | 1,410 25.49078 16.6159 0 55 ve_forms | 1,410 1.552482 .6753367 1 4 road_fnc | 1,410 9.432624 5.211366 1 16 harm_ev | 1,410 13.90213 9.391587 1 43 man_coll | 1,410 1.206383 1.671568 0 6 -------------+--------------------------------------------------------- sch_bus | 1,410 0 0 0 0 veh_no | 1,410 1.091489 .7301661 0 4 make | 1,140 39.35351 21.75408 1 99 body_typ | 1,140 13.51667 25.20969 2 99 mod_year | 1,140 88.79737 6.947577 68 99 -------------+--------------------------------------------------------- rollover | 1,140 .1315789 .4798514 0 2 tow_veh | 1,140 .3631579 1.771804 0 9 spec_use | 1,140 .3631579 1.771804 0 9 emer_use | 1,140 .0008772 .0296174 0 1 impact1 | 1,140 9.222807 4.065682 0 13 -------------+--------------------------------------------------------- impact2 | 1,140 9.384211 4.065067 0 13 impacts | 1,140 1.201754 .561883 0 3 fire_exp | 1,140 .0184211 .1345273 0 1 wgtcd_tr | 206 5.5 3.773786 1 9 per_no | 1,410 1.612057 1.286716 1 13 -------------+--------------------------------------------------------- n_mot_no | 1,410 .1914894 .3936128 0 1 age | 1,410 38.74894 25.01433 0 99 sex | 1,410 1.524113 1.455193 1 9 per_typ | 1,410 2.070213 1.543329 1 8 seat_pos | 1,410 10.76028 6.767506 0 52 -------------+--------------------------------------------------------- location | 1,410 2.603546 5.413451 0 18 ejection | 1,410 .3177305 1.602353 0 9 extricat | 1,410 .293617 1.599424 0 9 alc_det | 1,410 7.393617 3.028202 1 9 drinking | 1,410 6.299291 3.205267 0 8 -------------+--------------------------------------------------------- inj_sev | 1,410 2.600709 1.518796 0 4 hospital | 1,410 .5390071 .498653 0 1 death_mo | 1,410 2.746809 3.943948 0 12 death_da | 1,410 6.292199 9.312934 0 31 death_yr | 1,410 40.72908 47.89329 0 98 -------------+--------------------------------------------------------- death_hr | 1,410 5.241844 7.820581 0 24 death_mn | 1,410 9.804965 16.00602 0 55 lag_hrs | 1,410 589.0532 484.7219 0 999 lag_mins | 1,410 60.96525 45.87279 0 99 p_cf1 | 1,410 .0212766 .2601546 0 4 -------------+--------------------------------------------------------- p_cf2 | 1,410 .0340426 .4043465 0 5 p_cf3 | 1,410 .0035461 .1331559 0 5 work_inj | 1,410 4.641844 3.948941 0 8 st_case | 1,410 430283 156.9379 430001 430553 mak_mod | 1,140 39555.18 21866.92 1007 99999 -------------+--------------------------------------------------------- vin_wgt | 982 4057.514 3160.042 172 9999 whlbs_sh | 1,069 2038.5 2860.349 799 9999 whlbs_lg | 1,069 1242.769 3167.094 0 9999 mcycl_ds | 119 8122.605 3751.672 80 9999 death_tm | 1,410 533.9894 791.6352 0 2400 -------------+--------------------------------------------------------- cert_no | 0 ser_tr | 0 vina_mod | 0 vin_bt | 0 rest_use | 1,410 4.166667 17.47641 0 99 -------------+--------------------------------------------------------- air_bag | 1,410 7.276596 3.542516 0 9 ej_path | 1,410 .3177305 1.602353 0 9 alc_res | 1,410 47.5 45.82678 0 97 drugs | 1,410 8 0 8 8 drug_det | 1,410 7.995035 .1864183 1 8 -------------+--------------------------------------------------------- drugtst1 | 1,410 .3276596 .4695265 0 1 drugres1 | 1,410 19.94113 99.84596 0 695 drugtst2 | 1,410 .0085106 .0918923 0 1 drugres2 | 1,410 3.229078 40.9559 0 695 drugtst3 | 1,410 .0007092 .0266312 0 1 -------------+--------------------------------------------------------- drugres3 | 1,410 .4929078 18.50867 0 695 by Jean Roth , jroth@nber.org , 18 Apr 2016