Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 73,888 27.65575 16.33841 1 56 st_case | 73,888 277206.7 163353.8 10001 560075 ve_forms | 73,888 1.95167 3.868566 1 90 veh_no | 73,888 1.405492 2.280106 0 90 per_no | 73,888 1.619329 1.597296 1 46 -------------+--------------------------------------------------------- str_veh | 73,888 .0855078 .299321 0 20 county | 73,888 92.75111 97.79807 0 999 day | 73,888 15.69726 8.867803 1 31 month | 73,888 6.727764 3.363209 1 12 hour | 73,888 13.36695 8.693866 0 99 -------------+--------------------------------------------------------- minute | 73,888 29.00276 18.04626 0 99 road_fnc | 73,888 8.416888 6.106269 1 99 harm_ev | 73,888 16.0944 12.40338 1 99 man_coll | 73,888 2.296936 5.035722 0 99 sch_bus | 73,888 .0074166 .0858005 0 1 -------------+--------------------------------------------------------- make | 67,780 33.73892 25.20657 1 99 mak_mod | 67,780 34083.53 25339.4 1398 99999 body_typ | 67,780 24.25359 25.94988 1 99 mod_year | 67,780 2124.164 976.7955 1914 9999 tow_veh | 67,780 .0739894 .4292377 0 9 -------------+--------------------------------------------------------- spec_use | 67,780 .2058424 4.307001 0 99 emer_use | 67,780 .0242107 .4350643 0 9 rollover | 67,780 .269401 .7740569 0 9 impact1 | 67,780 15.58641 21.62064 0 99 fire_exp | 67,780 .030599 .1722299 0 1 -------------+--------------------------------------------------------- age | 73,888 57.74157 134.4617 0 999 sex | 73,888 1.446757 1.018476 1 9 per_typ | 73,888 1.678337 1.214266 1 10 inj_sev | 73,888 2.514143 1.782126 0 9 seat_pos | 73,888 13.66528 11.97113 0 99 -------------+--------------------------------------------------------- rest_use | 73,888 20.36454 34.52896 0 99 rest_mis | 73,888 .6647494 2.202771 0 8 air_bag | 73,888 19.84991 31.39302 0 99 ejection | 73,888 1.41724 2.927679 0 9 ej_path | 73,888 .7333667 2.391404 0 9 -------------+--------------------------------------------------------- extricat | 73,888 .2356134 1.086232 0 9 drinking | 73,888 4.000636 4.032685 0 9 alc_det | 73,888 7.767188 2.614574 1 9 alc_status | 73,888 1.318225 2.053274 0 9 atst_typ | 73,888 6.976329 23.948 0 99 -------------+--------------------------------------------------------- alc_res | 73,888 62.06797 44.0185 0 99 drugs | 73,888 5.006943 3.953024 0 9 drug_det | 73,888 7.415399 1.818913 1 8 dstatus | 73,888 1.115215 2.027936 0 9 drugtst1 | 73,888 .7945269 1.762552 0 9 -------------+--------------------------------------------------------- drugtst2 | 73,888 .0636504 .3427419 0 8 drugtst3 | 73,888 .0300049 .2370662 0 9 drugres1 | 73,888 102.6111 264.0347 0 999 drugres2 | 73,888 25.51949 126.3007 0 998 drugres3 | 73,888 14.03367 101.5836 0 998 -------------+--------------------------------------------------------- hospital | 73,888 2.159065 2.472843 0 9 doa | 73,888 1.78102 3.058448 0 9 death_da | 73,888 56.32689 36.39928 1 99 death_mo | 73,888 52.36701 40.43981 1 99 death_yr | 73,888 5868.156 3416.047 2013 9999 -------------+--------------------------------------------------------- death_hr | 73,888 57.88535 37.7289 0 99 death_mn | 73,888 64.33913 31.74188 0 99 death_tm | 73,888 5852.874 3802.354 0 9999 lag_hrs | 73,888 606.6957 481.3593 0 999 lag_mins | 73,888 66.32211 41.56047 0 99 -------------+--------------------------------------------------------- p_sf1 | 73,888 .2978156 4.800323 0 99 p_sf2 | 73,888 .1063366 3.22587 0 99 p_sf3 | 73,888 .1029396 3.187741 0 99 cert_no | 0 work_inj | 73,888 4.962118 3.936393 0 9 -------------+--------------------------------------------------------- hispanic | 73,888 11.09573 27.6353 0 99 race | 73,888 7.38963 24.93336 0 99 location | 73,888 .9729591 4.735241 0 99 by Jean Roth , jroth@nber.org , 22 Oct 2016