Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 80,587 27.4906 16.30938 1 56 st_case | 80,587 275606.8 163031.5 10001 560130 ve_forms | 80,587 1.927395 2.249022 1 58 veh_no | 80,587 1.389393 1.449199 0 58 per_no | 80,587 1.629097 1.835387 1 51 -------------+--------------------------------------------------------- str_veh | 80,587 .0883393 .2977866 0 10 county | 80,587 91.716 95.01016 1 999 day | 80,587 15.52262 8.783118 1 31 month | 80,587 6.798901 3.361863 1 12 hour | 80,587 13.518 8.828619 0 99 -------------+--------------------------------------------------------- minute | 80,587 28.75149 17.96443 0 99 rur_urb | 80,587 1.971919 1.741665 1 9 func_sys | 80,587 10.82161 25.08529 1 99 harm_ev | 80,587 15.61699 11.93416 1 99 man_coll | 80,587 2.435306 5.910375 0 99 -------------+--------------------------------------------------------- sch_bus | 80,587 .0070855 .0838772 0 1 make | 73,676 34.1146 25.15964 1 99 mak_mod | 73,676 34456.35 25289.1 1007 99999 body_typ | 73,676 23.91813 25.67556 1 99 mod_year | 73,676 2148.456 1062.014 1923 9999 -------------+--------------------------------------------------------- tow_veh | 73,676 .0802025 .4845644 0 9 spec_use | 73,676 .2952929 4.953174 0 99 emer_use | 73,676 .0255443 .4407466 0 9 rollover | 73,676 .2758429 .9041851 0 9 impact1 | 73,676 17.41517 23.59572 0 99 -------------+--------------------------------------------------------- fire_exp | 73,676 .0314621 .1745641 0 1 age | 80,587 58.97528 138.0822 0 999 sex | 80,587 1.460446 1.060446 1 9 per_typ | 80,587 1.686984 1.228913 1 19 inj_sev | 80,587 2.469654 1.786318 0 9 -------------+--------------------------------------------------------- seat_pos | 80,587 13.50119 11.6815 0 99 rest_use | 80,587 20.74415 34.78297 0 99 rest_mis | 80,587 .6888332 2.239836 0 8 air_bag | 80,587 20.33294 31.47087 0 99 ejection | 80,587 1.421731 2.945473 0 9 -------------+--------------------------------------------------------- ej_path | 80,587 .6343083 2.234778 0 9 extricat | 80,587 .3013265 1.35357 0 9 drinking | 80,587 4.113889 4.049395 0 9 alc_det | 80,587 7.98053 2.472464 1 9 alc_status | 80,587 1.413677 2.208225 0 9 -------------+--------------------------------------------------------- atst_typ | 80,587 9.030327 27.11431 0 99 alc_res | 80,587 653.9289 455.4296 0 999 drugs | 80,587 4.59254 4.047439 0 9 drug_det | 80,587 7.46608 1.770176 1 8 dstatus | 80,587 1.380744 2.3962 0 9 -------------+--------------------------------------------------------- drugtst1 | 80,587 1.010796 1.966155 0 9 drugtst2 | 80,587 .0704456 .3485308 0 8 drugtst3 | 80,587 .0319282 .2324112 0 8 drugres1 | 80,587 89.31061 230.5435 0 999 drugres2 | 80,587 28.34056 131.0482 0 998 -------------+--------------------------------------------------------- drugres3 | 80,587 14.31807 99.81923 0 998 hospital | 80,587 2.160609 2.49422 0 9 doa | 80,587 1.777793 3.054136 0 9 death_da | 80,587 56.80535 36.36062 1 99 death_mo | 80,587 52.9833 40.32412 1 99 -------------+--------------------------------------------------------- death_yr | 80,587 5920.78 3408.512 2015 9999 death_hr | 80,587 57.41829 37.60698 0 99 death_mn | 80,587 63.99761 31.51992 0 99 death_tm | 80,587 5805.827 3789.965 0 9999 lag_hrs | 80,587 601.7075 482.0953 0 999 -------------+--------------------------------------------------------- lag_mins | 80,587 65.526 42.04344 0 99 p_sf1 | 80,587 .3212305 4.917008 0 99 p_sf2 | 80,587 .0977205 3.100764 0 99 p_sf3 | 80,587 .0958219 3.078523 0 99 work_inj | 80,587 5.023751 3.921367 0 9 -------------+--------------------------------------------------------- hispanic | 80,587 9.560624 25.30183 0 99 race | 80,587 6.800551 23.91096 0 99 location | 80,587 1.073424 5.280188 0 99 by Jean Roth , jroth@nber.org , 22 Oct 2016