Summary statistics for person dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 105,609 28.21234 15.58911 1 56 county | 105,609 86.73782 90.95173 1 999 month | 105,609 6.777434 3.287535 1 12 day | 105,609 15.7675 8.840049 1 31 hour | 105,609 13.63292 9.238239 0 99 -------------+--------------------------------------------------------- minute | 105,609 26.94302 18.04803 0 99 ve_forms | 105,609 1.63309 .8122658 0 16 road_fnc | 0 harm_ev | 105,609 12.86779 6.838513 1 99 man_coll | 105,609 1.591048 1.90357 0 9 -------------+--------------------------------------------------------- sch_bus | 0 veh_no | 105,609 1.228958 .6945127 0 16 make | 96,229 26.91014 25.74508 1 99 body_typ | 96,229 17.44476 22.65551 1 99 mod_year | 96,229 70.6914 5.602466 0 99 -------------+--------------------------------------------------------- rollover | 0 tow_veh | 96,229 .0118363 .1081498 0 1 spec_use | 96,229 .023309 .378045 0 9 emer_use | 0 impact1 | 96,229 9.9003 11.42571 0 99 -------------+--------------------------------------------------------- impact2 | 96,229 10.59207 14.24137 0 99 impacts | 96,229 1.181806 .7078435 0 9 fire_exp | 96,229 .0242235 .1537431 0 1 wgtcd_tr | 52,337 7.31236 3.164608 0 9 per_no | 105,609 1.786344 1.876386 1 52 -------------+--------------------------------------------------------- age | 105,609 31.91291 20.05919 0 99 sex | 105,609 1.308335 .5584762 1 9 per_typ | 105,609 1.588283 .7664388 1 9 seat_pos | 105,609 6.816322 21.11134 0 99 man_rest | 105,609 2.597714 3.984528 0 9 -------------+--------------------------------------------------------- aut_rest | 105,609 2.050687 3.774889 0 9 location | 105,609 .7811077 3.377905 0 99 ejection | 105,609 2.180184 3.708613 0 9 extricat | 105,609 2.11142 3.734638 0 9 drinking | 0 -------------+--------------------------------------------------------- test_res | 105,609 81.63461 33.21479 0 99 inj_sev | 105,609 2.636593 1.551058 0 9 hospital | 0 death_mo | 105,609 3.038122 5.235564 0 99 death_da | 105,609 7.08094 10.98178 0 99 -------------+--------------------------------------------------------- death_yr | 105,609 32.7656 37.64596 0 99 death_hr | 105,609 10.53101 23.5757 0 99 death_mn | 105,609 15.48953 26.53846 0 99 lag_hrs | 45,522 117.0754 291.246 0 999 lag_mins | 45,522 26.20478 29.03056 0 99 -------------+--------------------------------------------------------- p_cf1 | 105,609 1.078696 8.93365 0 99 p_cf2 | 105,609 .8332244 8.80155 0 99 p_cf3 | 105,609 .7779924 8.727399 0 99 st_case | 105,609 282855.9 155772.2 10001 560208 mak_mod | 96,229 2727.323 2589.631 100 9999 -------------+--------------------------------------------------------- vin_wgt | 84,579 6208.503 3364.942 0 9999 whlbs_sh | 84,579 4951.476 4401.297 0 9999 whlbs_lg | 84,579 4473.039 4831.473 0 9999 mcycl_ds | 37,161 9909.776 736.7438 720 9999 death_tm | 105,609 1068.59 2380.646 0 9999 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 by Jean Roth , jroth@nber.org , 22 Apr 2016