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
