Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 637 43 0 43 43 st_case | 637 430141.2 83.55551 430001 430288 ve_forms | 637 1.519623 .7428958 1 4 veh_no | 637 1.083203 .7382095 0 4 per_no | 637 1.373626 .8384218 1 7 -------------+--------------------------------------------------------- str_veh | 637 .1868132 .3900678 0 1 county | 637 72 0 72 72 day | 637 14.53846 8.754002 1 31 month | 637 6.631083 3.481376 1 12 hour | 637 12.3752 7.71376 0 23 -------------+--------------------------------------------------------- minute | 637 27.49294 17.90986 0 59 road_fnc | 637 6.78179 5.01549 1 16 harm_ev | 637 15.69545 11.13686 1 43 man_coll | 637 1.607535 2.575857 0 8 sch_bus | 637 0 0 0 0 -------------+--------------------------------------------------------- make | 518 47.64286 22.88111 2 99 mak_mod | 518 47928.43 23001.61 2001 99999 body_typ | 518 22.46911 30.99844 2 99 mod_year | 518 2449.797 1840.216 1977 9999 tow_veh | 518 .2953668 1.605002 0 9 -------------+--------------------------------------------------------- spec_use | 518 3.440154 18.14873 0 99 emer_use | 518 .2953668 1.605002 0 9 rollover | 518 .1332046 .4813924 0 2 impact1 | 518 9.401544 3.878842 0 13 fire_exp | 518 .011583 .1071027 0 1 -------------+--------------------------------------------------------- age | 637 94.54317 225.3436 0 998 sex | 637 1.464678 1.252956 1 8 per_typ | 637 1.982732 1.572569 1 8 inj_sev | 637 2.604396 1.615719 0 4 seat_pos | 637 10.20879 5.846467 0 29 -------------+--------------------------------------------------------- rest_use | 637 25.43485 37.71939 2 99 rest_mis | 637 1.494505 3.120542 0 8 air_bag | 637 31.25903 35.92607 0 99 ejection | 637 2.527473 3.739297 0 9 ej_path | 637 .3045526 1.573621 0 9 -------------+--------------------------------------------------------- extricat | 637 .2825746 1.570731 0 9 drinking | 637 5.860283 3.485948 0 8 alc_det | 637 7.012559 3.239375 1 9 alc_status | 637 1.488226 .873403 0 2 atst_typ | 637 .9529042 .6805787 0 2 -------------+--------------------------------------------------------- alc_res | 637 29.281 40.72003 0 97 drugs | 637 8 0 8 8 drug_det | 637 8 0 8 8 dstatus | 637 .9419152 .9990962 0 2 drugtst1 | 637 .4709576 .4995481 0 1 -------------+--------------------------------------------------------- drugtst2 | 637 .0094192 .0966701 0 1 drugtst3 | 637 0 0 0 0 drugres1 | 637 33.48195 115.3074 0 695 drugres2 | 637 2.872841 34.93058 0 695 drugres3 | 637 0 0 0 0 -------------+--------------------------------------------------------- hospital | 637 1.808477 1.992373 0 4 doa | 637 2.175824 3.242385 0 7 death_da | 637 52.85557 37.31964 1 88 death_mo | 637 49.16327 40.75099 1 88 death_yr | 637 5607.473 3436.135 2014 8888 -------------+--------------------------------------------------------- death_hr | 637 51.79906 38.3195 0 88 death_mn | 637 57.25589 34.61884 0 88 death_tm | 637 5237.162 3863.818 0 8888 lag_hrs | 637 524.6688 497.0811 0 999 lag_mins | 637 56.27159 46.17873 0 99 -------------+--------------------------------------------------------- p_sf1 | 637 0 0 0 0 p_sf2 | 637 0 0 0 0 p_sf3 | 637 0 0 0 0 cert_no | 0 work_inj | 637 4.183673 3.997544 0 8 -------------+--------------------------------------------------------- hispanic | 637 .9544741 .9997482 0 2 race | 637 .4803768 .5062576 0 2 location | 637 2.598116 5.59328 0 24 by Jean Roth , jroth@nber.org , 22 Oct 2016