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State and County Exposure Levels to I-131

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Indiana

Estimates of per capita average (geometric means: GM) individual thyroid doses, associated uncertainties (geometric standard deviations: GSD), and populations in each county of the contiguous U.S. resulting from all tests.
  State-County          Avg doses (rad)              Population
                        resulting from
  -------------------------------------------------------------
                        Milk            All
                        Consumption     Exposure
                        GM    GSD       GM    GSD
                        -------------------------     
  IN ADAMS              1.7   4.7       2.0   4.4       23350
  IN ALLEN              1.6   5.5       2.0   5.1      204321
  IN BARTHOLOMEW        1.5   4.8       1.9   4.5       41249
  IN BENTON             2.8   2.7       3.3   2.5       11654
  IN BLACKFORD          1.9   1.8       2.2   1.7       14352
  IN BOONE              3.3   2.3       3.9   2.2       25504
  IN BROWN              3.5   2.2       4.0   2.1        6560
  IN CARROLL            3.1   3.6       3.6   3.4       16403
  IN CASS               2.5   4.8       3.1   4.5       39704
  IN CLARK              0.8   6.0       1.1   5.6       54483
  IN CLAY               3.6   1.9       4.2   1.8       24042
  IN CLINTON            1.0   5.8       1.3   5.4       30175
  IN CRAWFORD           2.3   2.8       2.7   2.6        8905
  IN DAVIESS            3.7   2.0       4.3   1.9       26706
  IN DEARBORN           2.3   2.3       2.6   2.1       26645
  IN DECATUR            1.9   3.2       2.2   3.0       18983
  IN DE KALB            1.9   2.1       2.2   2.0       26974
  IN DELAWARE           1.9   4.9       2.3   4.6       99043
  IN DUBOIS             2.6   2.8       3.1   2.7       25350
  IN ELKHART            2.9   2.0       3.3   1.9       93978
  IN FAYETTE            2.3   1.9       2.7   1.8       23845
  IN FLOYD              0.9   5.9       1.1   5.5       47123
  IN FOUNTAIN           3.7   2.4       4.2   2.3       18208
  IN FRANKLIN           1.9   4.5       2.2   4.2       16453
  IN FULTON             1.1   6.1       1.4   5.7       16726
  IN GIBSON             3.0   1.9       3.4   1.8       30396
  IN GRANT              1.8   4.7       2.2   4.4       67932
  IN GREENE             2.6   3.7       3.0   3.5       27222
  IN HAMILTON           1.8   4.7       2.2   4.4       33435
  IN HANCOCK            2.9   1.8       3.3   1.7       23020
  IN HARRISON           1.5   4.3       1.8   4.0       18430
  IN HENDRICKS          1.7   4.5       2.1   4.3       31524
  IN HENRY              2.2   4.2       2.7   4.0       46946
  IN HOWARD             1.8   4.5       2.2   4.3       60879
  IN HUNTINGTON         1.4   4.5       1.7   4.2       32426
  IN JACKSON            2.0   4.6       2.5   4.4       29224
  IN JASPER             4.1   2.6       4.7   2.5       17798
  IN JAY                2.1   1.9       2.5   1.8       22909
  IN JEFFERSON          1.8   3.0       2.2   2.8       22652
  IN JENNINGS           2.2   1.7       2.5   1.7       16111
  IN JOHNSON            2.5   1.9       2.9   1.8       33631
  IN KNOX               3.4   2.4       3.9   2.2       42628
  IN KOSCIUSKO          2.9   2.4       3.3   2.2       36134
  IN LAGRANGE           2.5   2.1       2.9   2.0       16210
  IN LAKE               3.1   2.7       3.6   2.5      429826
  IN LA PORTE           2.9   2.1       3.3   2.0       84588
  IN LAWRENCE           1.3   6.1       1.8   5.7       35290
  IN MADISON            1.6   4.8       1.9   4.5      113224
  IN MARION             1.9   4.3       2.3   4.0      613741
  IN MARSHALL           2.7   2.4       3.0   2.3       30733
  IN MARTIN             2.4   3.8       2.8   3.6       10648
  IN MIAMI              1.5   4.4       1.8   4.1       32369
  IN MONROE             1.1   6.6       1.3   6.2       53968
  IN MONTGOMERY         3.9   2.4       4.5   2.2       30383
  IN MORGAN             3.0   1.9       3.4   1.8       28039
  IN NEWTON             3.4   2.7       3.9   2.6       11215
  IN NOBLE              2.2   2.1       2.5   2.0       26388
  IN OHIO               1.7   2.4       1.9   2.2        4201
  IN ORANGE             2.4   3.7       2.8   3.5       16883
  IN OWEN               1.4   5.7       1.8   5.4       11616
  IN PARKE              3.5   2.0       4.0   1.9       15306
  IN PERRY              1.6   3.5       1.9   3.3       17310
  IN PIKE               3.1   1.9       3.6   1.8       14062
  IN PORTER             3.6   2.7       4.1   2.6       48666
  IN POSEY              2.0   3.2       2.4   3.0       19556
  IN PULASKI            4.4   2.7       5.0   2.6       12637
  IN PUTNAM             2.7   2.1       3.1   2.0       23790
  IN RANDOLPH           1.4   4.9       1.8   4.6       27693
  IN RIPLEY             2.3   2.3       2.7   2.1       19556
  IN RUSH               3.2   2.1       3.7   2.0       20050
  IN ST JOSEPH          1.0   5.8       1.3   5.4      219323
  IN SCOTT              1.3   5.0       1.5   4.7       12844
  IN SHELBY             1.3   5.0       1.6   4.7       30608
  IN SPENCER            1.7   3.5       2.0   3.3       16127
  IN STARKE             2.7   2.4       3.0   2.3       16398
  IN STEUBEN            2.9   2.0       3.3   1.9       17126
  IN SULLIVAN           3.6   2.1       4.2   2.0       22839
  IN SWITZERLAND        2.2   2.9       2.5   2.7        7386
  IN TIPPECANOE         4.1   2.3       4.7   2.2       80705
  IN TIPTON             1.4   5.0       1.8   4.6       15689
  IN UNION              1.7   4.7       2.1   4.4        6433
  IN VANDERBURGH        1.7   4.3       2.0   4.1      162709
  IN VERMILLION         2.2   3.8       2.6   3.6       18858
  IN VIGO               3.7   2.2       4.3   2.1      106559
  IN WABASH             1.5   4.4       1.8   4.1       30557
  IN WARREN             3.9   2.4       4.5   2.3        8540
  IN WARRICK            2.4   3.0       2.8   2.9       22399
  IN WASHINGTON         1.6   4.3       1.9   4.1       17069
  IN WAYNE              2.2   4.5       2.6   4.3       70893
  IN WELLS              1.6   5.0       1.9   4.7       20272
  IN WHITE              3.9   2.7       4.5   2.6       18754
  IN WHITLEY            1.5   2.6       1.7   2.5       19730