Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 73,548 27.71129 16.38858 1 56 st_case | 73,548 277787 163856.8 10001 560131 ve_forms | 73,548 1.814026 1.453305 1 40 veh_no | 73,548 1.328901 1.015455 0 40 per_no | 73,548 1.642546 1.98592 1 51 -------------+--------------------------------------------------------- str_veh | 73,548 .0889895 .2971615 0 5 county | 73,548 93.56898 97.41699 0 820 day | 73,548 15.75741 8.851084 1 31 month | 73,548 6.807976 3.373099 1 12 hour | 73,548 13.41506 8.675494 0 99 -------------+--------------------------------------------------------- minute | 73,548 28.64847 18.03081 0 99 road_fnc | 73,548 9.854925 12.15964 1 99 harm_ev | 73,548 15.91257 12.31433 1 99 man_coll | 73,548 2.41804 6.12671 0 99 sch_bus | 73,548 .0061864 .0784108 0 1 -------------+--------------------------------------------------------- make | 67,227 34.00882 25.35972 1 99 mak_mod | 67,227 34350.93 25494.14 1001 99999 body_typ | 67,227 24.06243 25.87183 1 99 mod_year | 67,227 2131.819 1003.388 1927 9999 tow_veh | 67,227 .0768888 .4659526 0 9 -------------+--------------------------------------------------------- spec_use | 67,227 .2720336 4.672898 0 99 emer_use | 67,227 .0239041 .4193251 0 9 rollover | 67,227 .2862987 .8905422 0 9 impact1 | 67,227 16.55643 22.85197 0 99 fire_exp | 67,227 .0314606 .1745602 0 1 -------------+--------------------------------------------------------- age | 73,548 58.25644 135.4811 0 999 sex | 73,548 1.440841 1.008116 1 9 per_typ | 73,548 1.686069 1.235137 1 10 inj_sev | 73,548 2.494167 1.784875 0 9 seat_pos | 73,548 13.45631 11.63758 0 99 -------------+--------------------------------------------------------- rest_use | 73,548 20.53791 34.55413 0 99 rest_mis | 73,548 .6910453 2.241969 0 8 air_bag | 73,548 20.04487 31.29431 0 99 ejection | 73,548 1.450658 2.962146 0 9 ej_path | 73,548 .7457443 2.416786 0 9 -------------+--------------------------------------------------------- extricat | 73,548 .2888182 1.294153 0 9 drinking | 73,548 3.977158 4.040331 0 9 alc_det | 73,548 7.838255 2.576402 1 9 alc_status | 73,548 1.330968 2.067108 0 9 atst_typ | 73,548 7.266166 24.38179 0 99 -------------+--------------------------------------------------------- alc_res | 73,548 62.25014 43.96228 0 99 drugs | 73,548 4.860336 3.983796 0 9 drug_det | 73,548 7.411541 1.834178 1 8 dstatus | 73,548 1.104381 1.977251 0 9 drugtst1 | 73,548 .7941208 1.713669 0 9 -------------+--------------------------------------------------------- drugtst2 | 73,548 .0705526 .3697485 0 9 drugtst3 | 73,548 .0333796 .2628418 0 9 drugres1 | 73,548 100.4196 257.6158 0 999 drugres2 | 73,548 27.91566 132.0738 0 998 drugres3 | 73,548 14.235 101.0146 0 998 -------------+--------------------------------------------------------- hospital | 73,548 2.116985 2.470838 0 9 doa | 73,548 1.799056 3.06579 0 9 death_da | 73,548 56.25972 36.37418 1 99 death_mo | 73,548 52.24456 40.41798 1 99 death_yr | 73,548 5854.733 3416.583 2014 9999 -------------+--------------------------------------------------------- death_hr | 73,548 57.28406 37.75011 0 99 death_mn | 73,548 63.89491 31.74456 0 99 death_tm | 73,548 5792.301 3804.424 0 9999 lag_hrs | 73,548 599.9868 482.4811 0 999 lag_mins | 73,548 65.55501 41.91974 0 99 -------------+--------------------------------------------------------- p_sf1 | 73,548 .3532795 5.314092 0 99 p_sf2 | 73,548 .1601675 3.957226 0 99 p_sf3 | 73,548 .1543482 3.90221 0 99 cert_no | 0 work_inj | 73,548 4.809444 3.951382 0 9 -------------+--------------------------------------------------------- hispanic | 73,548 8.770286 23.8527 0 99 race | 73,548 5.761475 21.83049 0 99 location | 73,548 1.090771 5.587954 0 99 by Jean Roth , jroth@nber.org , 22 Oct 2016