State and County Exposure Levels
Alabama
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
State and County Exposure Levels
Per capita thyroid doses resulting from all exposure routes from all tests
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Alabama
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
-------------------------
AL AUTAUGA 1.3 1.7 1.7 1.6 18421
AL BALDWIN 1.3 1.9 1.7 1.7 44435
AL BARBOUR 1.2 1.7 1.5 1.6 27114
AL BIBB 1.4 1.7 1.8 1.6 16446
AL BLOUNT 1.2 1.7 1.5 1.6 27474
AL BULLOCK 1.0 1.7 1.3 1.6 14950
AL BUTLER 1.0 1.6 1.3 1.5 27248
AL CALHOUN 1.3 1.7 1.7 1.6 86484
AL CHAMBERS 1.3 1.9 1.7 1.7 38803
AL CHEROKEE 1.3 1.7 1.7 1.6 17072
AL CHILTON 1.5 1.7 1.8 1.6 26401
AL CHOCTAW 1.0 1.7 1.3 1.6 18607
AL CLARKE 1.3 1.9 1.7 1.7 26204
AL CLAY 1.4 1.7 1.7 1.6 13283
AL CLEBURNE 1.4 1.6 1.8 1.5 11483
AL COFFEE 1.1 1.7 1.3 1.6 30663
AL COLBERT 1.8 1.7 2.2 1.6 42512
AL CONECUH 1.4 2.4 1.8 2.2 20074
AL COOSA 1.2 1.7 1.5 1.6 11326
AL COVINGTON 1.2 1.9 1.5 1.7 38359
AL CRENSHAW 1.1 1.7 1.4 1.6 17250
AL CULLMAN 1.5 1.7 1.9 1.6 47565
AL DALE 1.2 1.9 1.5 1.7 25179
AL DALLAS 1.3 1.9 1.7 1.7 56437
AL DE KALB 1.7 1.6 2.1 1.5 43506
AL ELMORE 1.4 1.7 1.7 1.6 31170
AL ESCAMBIA 1.2 1.9 1.5 1.7 32327
AL ETOWAH 1.5 1.7 1.8 1.6 95207
AL FAYETTE 1.3 1.7 1.7 1.6 18011
AL FRANKLIN 1.5 1.6 1.9 1.5 24126
AL GENEVA 1.2 1.8 1.5 1.7 24379
AL GREENE 1.5 1.7 1.9 1.6 15258
AL HALE 1.6 1.8 2.0 1.7 20285
AL HENRY 1.0 1.7 1.2 1.6 17232
AL HOUSTON 1.1 1.7 1.4 1.6 48307
AL JACKSON 1.7 1.6 2.1 1.5 38015
AL JEFFERSON 1.5 1.7 1.9 1.6 591199
AL LAMAR 1.2 1.7 1.6 1.6 15521
AL LAUDERDALE 1.7 1.7 2.2 1.6 57343
AL LAWRENCE 1.3 1.7 1.7 1.6 26015
AL LEE 1.3 1.7 1.6 1.6 47070
AL LIMESTONE 1.6 1.7 2.0 1.6 36089
AL LOWNDES 1.2 1.8 1.5 1.7 16916
AL MACON 1.2 1.7 1.5 1.6 28928
AL MADISON 1.7 1.7 2.1 1.6 91789
AL MARENGO 1.7 2.4 2.2 2.2 28478
AL MARION 1.3 1.7 1.7 1.6 24962
AL MARSHALL 1.5 1.7 1.8 1.6 46335
AL MOBILE 1.4 2.2 1.8 2.0 266464
AL MONROE 1.3 2.4 1.7 2.2 24304
AL MONTGOMERY 1.2 1.6 1.5 1.5 151816
AL MORGAN 1.6 1.7 2.0 1.6 56126
AL PERRY 1.5 1.7 1.9 1.6 19133
AL PICKENS 1.5 1.7 1.9 1.6 23300
AL PIKE 1.3 1.8 1.6 1.7 28644
AL RANDOLPH 1.3 2.0 1.6 1.8 21222
AL RUSSELL 1.2 1.7 1.6 1.6 42909
AL ST CLAIR 1.2 1.7 1.5 1.6 26135
AL SHELBY 1.2 1.7 1.5 1.6 31110
AL SUMTER 1.3 1.9 1.6 1.7 22090
AL TALLADEGA 1.5 1.7 1.9 1.6 64427
AL TALLAPOOSA 1.4 1.7 1.7 1.6 35047
AL TUSCALOOSA 1.6 1.7 2.0 1.6 100446
AL WALKER 1.4 1.7 1.8 1.6 59709
AL WASHINGTON 1.1 2.0 1.4 1.8 15511
AL WILCOX 1.5 2.0 1.9 1.8 21461
AL WINSTON 1.3 1.7 1.7 1.6 16809
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Arizona
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
-------------------------
AZ APACHE 1.3 2.2 2.0 1.9 28902
AZ COCHISE 0.1 2.0 0.2 1.7 41498
AZ COCONINO1 2.8 2.6 3.7 2.3 611
AZ COCONINO2 2.9 2.4 3.6 2.3 10346
AZ COCONINO3 0.4 2.2 0.6 1.9 20586
AZ GILA 0.2 2.0 0.2 1.7 24837
AZ GRAHAM 0.2 2.0 0.2 1.7 13438
AZ GREENLEE 0.1 2.0 0.2 1.7 12256
AZ MARICOPA 0.1 2.0 0.2 1.8 472764
AZ MOHAVE1 2.6 2.2 3.3 2.0 227
AZ MOHAVE2 3.4 2.4 4.7 2.1 227
AZ MOHAVE3 0.4 2.3 0.6 1.9 6291
AZ MOHAVE4 0.5 2.1 0.7 1.9 1441
AZ NAVAJO 0.8 2.3 1.2 2.0 33084
AZ PIMA 0.2 2.3 0.3 1.9 194103
AZ PINAL 0.1 2.1 0.2 1.8 51473
AZ SANTA CRUZ 0.2 2.1 0.3 1.8 9968
AZ YAVAPAI 0.1 2.0 0.2 1.8 26658
AZ YUMA 0.1 2.5 0.2 2.1 35756
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Arkansas
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
-------------------------
AR ARKANSAS 4.5 2.2 5.3 2.1 23534
AR ASHLEY 2.3 1.9 2.8 1.8 25051
AR BAXTER 4.9 2.2 5.8 2.0 10946
AR BENTON 5.5 1.9 6.5 1.8 37309
AR BOONE 4.0 2.3 4.7 2.2 16196
AR BRADLEY 2.4 1.8 2.9 1.7 15155
AR CALHOUN 1.7 1.8 2.1 1.7 6651
AR CARROLL 3.9 1.8 4.7 1.7 12413
AR CHICOT 2.2 1.9 2.6 1.8 20894
AR CLARK 3.1 1.9 3.6 1.8 22129
AR CLAY 4.4 2.1 5.2 1.9 24373
AR CLEBURNE 4.9 2.2 5.8 2.0 10458
AR CLEVELAND 2.7 2.2 3.2 2.0 8102
AR COLUMBIA 2.5 1.9 2.9 1.7 27762
AR CONWAY 3.4 2.1 4.0 2.0 16985
AR CRAIGHEAD 5.4 2.0 6.4 1.9 49207
AR CRAWFORD 4.9 1.8 5.8 1.7 22126
AR CRITTENDEN 3.9 2.1 4.7 1.9 47349
AR CROSS 3.3 2.0 3.9 1.9 22549
AR DALLAS 2.7 1.8 3.2 1.7 11616
AR DESHA 3.5 2.1 4.2 1.9 23295
AR DREW 2.0 2.1 2.4 2.0 16793
AR FAULKNER 4.6 2.1 5.4 1.9 24875
AR FRANKLIN 4.5 1.8 5.3 1.7 11445
AR FULTON 5.9 2.2 6.9 2.0 8110
AR GARLAND 3.3 2.2 3.8 2.0 46929
AR GRANT 3.1 2.0 3.7 1.9 8716
AR GREENE 4.0 2.0 4.7 1.9 27476
AR HEMPSTEAD 2.7 1.9 3.2 1.8 22781
AR HOT SPRING 2.8 2.2 3.3 2.1 22060
AR HOWARD 3.7 1.7 4.4 1.6 12297
AR INDEPENDENCE 5.6 2.1 6.6 2.0 22030
AR IZARD 5.5 2.2 6.5 2.0 8601
AR JACKSON 5.7 2.1 6.7 1.9 24608
AR JEFFERSON 4.8 2.2 5.6 2.0 78330
AR JOHNSON 3.8 1.9 4.5 1.8 14554
AR LAFAYETTE 2.6 1.9 3.1 1.7 12281
AR LAWRENCE 5.3 2.1 6.3 1.9 19586
AR LEE 3.7 2.2 4.3 2.0 22912
AR LINCOLN 3.4 2.1 4.0 2.0 15961
AR LITTLE RIVER 3.3 1.9 3.9 1.8 10639
AR LOGAN 4.3 1.8 5.1 1.7 18432
AR LONOKE 3.8 2.1 4.4 2.0 26119
AR MADISON 5.3 1.9 6.2 1.8 10602
AR MARION 4.6 2.2 5.5 2.1 7519
AR MILLER 3.2 1.8 3.8 1.7 32222
AR MISSISSIPPI 4.5 2.1 5.3 2.0 77192
AR MONROE 3.8 2.1 4.5 2.0 18596
AR MONTGOMERY 3.7 1.7 4.4 1.6 6122
AR NEVADA 2.9 1.9 3.5 1.8 13045
AR NEWTON 4.3 2.2 5.0 2.1 7530
AR OUACHITA 2.4 1.8 2.9 1.7 32453
AR PERRY 3.4 2.1 4.0 2.0 5531
AR PHILLIPS 3.5 2.0 4.1 1.9 45298
AR PIKE 3.4 1.7 4.0 1.6 9110
AR POINSETT 4.0 2.1 4.7 2.0 35709
AR POLK 4.4 1.9 5.2 1.8 13244
AR POPE 3.5 2.2 4.1 2.0 22394
AR PRAIRIE 4.9 2.1 5.7 2.0 12388
AR PULASKI 3.7 2.1 4.4 1.9 216366
AR RANDOLPH 4.9 2.1 5.7 2.0 14513
AR ST FRANCIS 4.0 2.2 4.8 2.0 35339
AR SALINE 3.5 2.1 4.2 1.9 25999
AR SCOTT 3.9 1.7 4.6 1.6 8882
AR SEARCY 3.8 2.3 4.5 2.2 9448
AR SEBASTIAN 4.3 1.8 5.2 1.7 65257
AR SEVIER 3.3 1.9 4.0 1.8 11383
AR SHARP 5.4 2.1 6.4 2.0 7865
AR STONE 4.9 2.1 5.7 2.0 7081
AR UNION 2.4 2.0 2.9 1.9 49621
AR VAN BUREN 4.4 2.2 5.1 2.0 8639
AR WASHINGTON 5.3 1.8 6.3 1.7 52455
AR WHITE 4.9 2.1 5.7 2.0 35792
AR WOODRUFF 4.1 2.1 4.8 1.9 16833
AR YELL 3.9 1.9 4.6 1.8 13160
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California
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
-------------------------
CA ALAMEDA 0.3 2.1 0.4 2.0 811673
CA ALPINE 0.8 2.2 1.0 2.0 306
CA AMADOR 0.5 2.4 0.6 2.2 9508
CA BUTTE 0.6 2.6 0.7 2.5 72198
CA CALAVERAS 0.4 2.4 0.5 2.3 10067
CA COLUSA 0.5 2.9 0.6 2.7 11834
CA CONTRA COSTA 0.3 1.9 0.4 1.8 345753
CA DEL NORTE 0.6 2.0 0.7 1.9 12200
CA EL DORADO 0.5 2.2 0.5 2.0 21809
CA FRESNO 0.3 1.8 0.3 1.7 314523
CA GLENN 1.0 3.0 1.2 2.9 16213
CA HUMBOLDT 0.7 1.8 0.8 1.7 84392
CA IMPERIAL 0.1 2.7 0.1 2.3 66856
CA INYO1 0.3 2.2 0.4 1.9 8297
CA INYO2 0.3 2.2 0.4 2.0 2464
CA INYO3 1.1 3.0 1.8 2.7 910
CA KERN 0.3 2.0 0.3 1.9 255370
CA KINGS 0.3 1.9 0.3 1.7 48121
CA LAKE 0.7 2.5 0.8 2.3 12462
CA LASSEN 0.8 2.2 1.0 2.1 16400
CA LOS ANGELES 0.1 2.9 0.1 2.5 4953697
CA MADERA 0.3 1.8 0.4 1.7 38458
CA MARIN 0.5 2.4 0.6 2.3 111629
CA MARIPOSA 0.4 1.9 0.5 1.8 5115
CA MENDOCINO 0.6 2.1 0.7 2.0 45195
CA MERCED 0.3 1.9 0.3 1.7 78570
CA MODOC 1.0 2.2 1.1 2.1 9094
CA MONO 0.6 2.0 0.8 1.8 2160
CA MONTEREY 0.4 2.0 0.4 1.8 159337
CA NAPA 0.5 2.4 0.6 2.2 54797
CA NEVADA 0.7 2.4 0.8 2.3 20322
CA ORANGE 0.1 2.4 0.1 2.1 423494
CA PLACER 0.5 2.6 0.6 2.4 48175
CA PLUMAS 0.9 2.0 1.0 1.9 12713
CA RIVERSIDE 0.1 2.0 0.1 1.8 227908
CA SACRAMENTO 0.3 3.0 0.3 2.7 373035
CA SAN BENITO 0.3 1.8 0.4 1.7 14806
CA SAN BERNADIN 0.2 2.5 0.3 2.2 375968
CA SAN DIEGO 0.1 2.2 0.1 1.9 759190
CA SAN FRANCISC 0.5 2.4 0.6 2.3 760465
CA SAN JOAQUIN 0.3 1.8 0.3 1.7 221677
CA SAN LUIS OBI 0.3 1.9 0.4 1.7 64006
CA SAN MATEO 0.3 2.1 0.4 1.9 324371
CA SANTA BARBAR 0.1 2.0 0.2 1.8 128286
CA SANTA CLARA 0.3 2.0 0.4 1.9 440051
CA SANTA CRUZ 0.5 2.3 0.6 2.1 74049
CA SHASTA 0.6 1.9 0.7 1.8 46213
CA SIERRA 0.6 2.4 0.7 2.3 2342
CA SISKIYOU 0.7 2.4 0.8 2.3 31647
CA SOLANO 0.4 2.2 0.5 2.1 117487
CA SONOMA 0.8 3.3 1.0 3.1 122095
CA STANISLAUS 0.3 1.9 0.4 1.8 140011
CA SUTTER 0.4 2.2 0.5 2.1 29274
CA TEHAMA 0.8 3.4 1.0 3.2 21840
CA TRINITY 0.7 1.9 0.8 1.8 7049
CA TULARE 0.2 1.9 0.3 1.8 157398
CA TUOLUMNE 0.5 2.0 0.6 1.8 13357
CA VENTURA 0.1 2.4 0.1 2.1 150555
CA YOLO 0.4 2.5 0.5 2.3 51306
CA YUBA 0.4 2.5 0.5 2.4 28434
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Colorado
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
-------------------------
CO ADAMS 2.5 2.1 3.4 1.9 74260
CO ALAMOSA 3.1 2.5 4.0 2.3 10305
CO ARAPAHOE 2.7 2.1 3.5 1.9 89616
CO ARCHULETA 4.9 2.6 6.2 2.4 2861
CO BACA 2.7 1.8 3.4 1.7 7258
CO BENT 2.3 1.9 2.9 1.7 8200
CO BOULDER 3.2 2.1 4.1 2.0 59327
CO CHAFFEE 3.1 1.9 3.9 1.8 7649
CO CHEYENNE 2.9 1.9 3.7 1.8 3176
CO CLEAR CREEK 3.5 2.0 4.6 1.8 3079
CO CONEJOS 5.9 3.2 7.3 3.0 9428
CO COSTILLA 3.2 2.4 4.1 2.2 5278
CO CROWLEY 2.3 1.9 3.0 1.8 4696
CO CUSTER 3.3 1.9 4.1 1.8 1460
CO DELTA 2.6 1.9 3.4 1.7 16617
CO DENVER 2.5 1.6 3.3 1.5 457536
CO DOLORES 2.3 2.1 2.9 1.9 2066
CO DOUGLAS 3.5 2.0 4.5 1.8 4063
CO EAGLE 4.4 2.4 5.6 2.2 4567
CO ELBERT 3.2 1.8 3.9 1.7 4150
CO EL PASO 3.4 1.7 4.3 1.6 103940
CO FREMONT 3.1 1.9 3.9 1.7 19145
CO GARFIELD 3.2 1.8 4.1 1.7 11791
CO GILPIN 3.0 2.1 3.9 1.9 781
CO GRAND 4.5 2.4 5.7 2.2 3789
CO GUNNISON 7.1 4.0 9.1 3.7 5613
CO HINSDALE 5.3 2.5 6.6 2.3 238
CO HUERFANO 2.8 2.0 3.5 1.9 9411
CO JACKSON 2.8 1.9 3.5 1.8 1884
CO JEFFERSON 3.1 2.5 4.1 2.3 86219
CO KIOWA 3.3 2.1 4.2 1.9 2757
CO KIT CARSON 2.8 2.5 3.5 2.3 7907
CO LAKE 3.8 2.6 5.0 2.4 6551
CO LA PLATA 2.3 2.4 3.0 2.2 16728
CO LARIMER 3.0 2.3 3.7 2.1 47718
CO LAS ANIMAS 2.9 1.9 3.7 1.7 23392
CO LINCOLN 3.1 2.0 3.9 1.9 5654
CO LOGAN 3.2 2.4 3.9 2.2 18512
CO MESA 3.5 2.0 4.6 1.8 43967
CO MINERAL 4.8 2.6 6.1 2.4 580
CO MOFFAT 2.1 1.7 2.7 1.6 6418
CO MONTEZUMA 1.9 2.0 2.5 1.8 11705
CO MONTROSE 2.9 2.0 3.7 1.8 16525
CO MORGAN 3.1 2.2 4.0 2.0 19396
CO OTERO 2.3 1.9 2.9 1.7 24787
CO OURAY 2.2 2.1 2.8 2.0 1891
CO PARK 3.0 1.8 3.8 1.6 1847
CO PHILLIPS 3.0 2.6 3.8 2.4 4718
CO PITKIN 4.5 3.3 5.8 3.1 1954
CO PROWERS 2.4 1.8 3.1 1.7 14182
CO PUEBLO 2.8 2.0 3.5 1.9 102311
CO RIO BLANCO 2.3 1.7 3.0 1.6 4903
CO RIO GRANDE 3.6 2.7 4.6 2.5 12121
CO ROUTT 3.8 1.9 4.7 1.8 7650
CO SAGUACHE 5.0 2.3 6.2 2.1 5157
CO SAN JUAN 2.4 2.0 3.0 1.9 1211
CO SAN MIGUEL 2.4 2.1 3.0 2.0 2800
CO SEDGWICK 3.6 2.4 4.5 2.3 4728
CO SUMMIT 3.8 2.4 4.9 2.2 1535
CO TELLER 3.1 1.8 3.9 1.7 2644
CO WASHINGTON 3.0 2.1 3.7 1.9 7139
CO WELD 2.7 2.8 3.4 2.5 69565
CO YUMA 3.3 2.4 4.0 2.3 10011
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Connecticut
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
-------------------------
CT FAIRFIELD 2.8 1.9 3.3 1.8 567774
CT HARTFORD 3.1 2.1 3.5 2.0 603367
CT LITCHFIELD 3.0 2.1 3.5 2.0 107794
CT MIDDLESEX 3.2 2.1 3.7 2.0 76485
CT NEW HAVEN 3.2 2.0 3.7 1.9 594458
CT NEW LONDON 2.9 2.0 3.4 1.9 162215
CT TOLLAND 3.0 2.1 3.5 2.0 54921
CT WINDHAM 2.6 2.1 3.0 2.0 64655
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Delaware
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
-------------------------
DE KENT 2.0 1.9 2.4 1.8 49679
DE NEW CASTLE 2.0 1.9 2.4 1.8 256525
DE SUSSEX 2.1 1.9 2.5 1.8 66374
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District of Columbia
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
-------------------------
DC WASHINGTON 1.4 1.9 1.8 1.8 785942
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Florida
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
-------------------------
FL ALACHUA 0.5 1.8 0.7 1.6 64273
FL BAKER 0.4 1.9 0.6 1.7 6760
FL BAY 0.4 1.8 0.6 1.6 53079
FL BRADFORD 0.4 1.8 0.5 1.6 11878
FL BREVARD 0.5 1.9 0.7 1.7 60960
FL BROWARD 0.3 1.8 0.5 1.6 190191
FL CALHOUN 0.4 1.8 0.6 1.6 7712
FL CHARLOTTE 0.3 1.8 0.5 1.6 7817
FL CITRUS 0.5 1.8 0.7 1.6 7453
FL CLAY 0.4 1.8 0.6 1.6 16537
FL COLLIER 0.5 1.8 0.7 1.6 10424
FL COLUMBIA 0.4 1.9 0.6 1.7 19008
FL DADE 0.3 1.8 0.5 1.6 682067
FL DE SOTO 0.3 1.8 0.5 1.6 10281
FL DIXIE 0.4 1.8 0.7 1.6 4160
FL DUVAL 0.3 1.7 0.5 1.5 368369
FL ESCAMBIA 0.4 2.0 0.7 1.8 138684
FL FLAGLER 0.5 1.9 0.7 1.7 3878
FL FRANKLIN 0.4 1.8 0.6 1.6 6140
FL GADSDEN 0.4 1.7 0.7 1.5 38805
FL GILCHRIST 0.5 1.8 0.7 1.6 3234
FL GLADES 0.3 1.8 0.5 1.6 2519
FL GULF 0.5 1.8 0.7 1.6 8515
FL HAMILTON 0.4 1.8 0.6 1.6 8436
FL HARDEE 0.3 1.8 0.4 1.6 11049
FL HENDRY 0.4 1.8 0.6 1.6 6928
FL HERNANDO 0.5 1.9 0.7 1.7 8614
FL HIGHLANDS 0.4 1.8 0.5 1.6 16911
FL HILLSBOROUGH 0.6 2.2 0.9 1.9 312748
FL HOLMES 0.5 1.8 0.7 1.6 12655
FL INDIAN RIVER 0.3 1.8 0.5 1.6 17585
FL JACKSON 0.4 1.7 0.6 1.6 35312
FL JEFFERSON 0.4 1.8 0.7 1.6 10045
FL LAFAYETTE 0.4 1.7 0.6 1.6 3205
FL LAKE 0.6 1.8 0.8 1.6 45284
FL LEE 0.3 1.8 0.5 1.6 36636
FL LEON 0.5 1.9 0.7 1.7 61208
FL LEVY 0.3 1.8 0.5 1.6 10519
FL LIBERTY 0.4 1.7 0.6 1.5 3162
FL MADISON 0.5 1.9 0.7 1.7 14178
FL MANATEE 0.3 1.8 0.5 1.6 49350
FL MARION 0.5 1.8 0.7 1.6 43898
FL MARTIN 0.3 1.8 0.5 1.6 11687
FL MONROE 0.4 1.8 0.5 1.6 37590
FL NASSAU 0.5 1.8 0.7 1.6 14676
FL OKALOOSA 0.5 2.6 0.7 2.2 41833
FL OKEECHOBEE 0.4 1.8 0.5 1.6 4715
FL ORANGE 0.5 1.8 0.7 1.6 178105
FL OSCEOLA 0.4 1.8 0.6 1.6 14647
FL PALM BEACH 0.4 1.8 0.6 1.6 162889
FL PASCO 0.4 1.8 0.6 1.6 27444
FL PINELLAS 0.5 1.8 0.7 1.6 250803
FL POLK 0.6 1.8 0.8 1.6 154234
FL PUTNAM 0.4 1.8 0.7 1.6 27266
FL ST JOHNS 0.5 2.0 0.7 1.7 27141
FL ST LUCIE 0.4 1.9 0.5 1.7 28303
FL SANTA ROSA 0.5 2.0 0.7 1.8 23227
FL SARASOTA 0.4 1.8 0.6 1.6 49261
FL SEMINOLE 0.5 1.9 0.7 1.7 38815
FL SUMTER 0.5 1.8 0.7 1.6 11562
FL SUWANNEE 0.5 1.8 0.7 1.6 16126
FL TAYLOR 0.4 1.8 0.6 1.6 11589
FL UNION 0.4 1.9 0.6 1.7 7688
FL VOLUSIA 0.5 1.8 0.7 1.6 95942
FL WAKULLA 0.4 1.8 0.6 1.6 5255
FL WALTON 0.4 1.7 0.6 1.5 15089
FL WASHINGTON 0.4 1.8 0.6 1.6 11622
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Georgia
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
-------------------------
GA APPLING 1.3 1.7 1.7 1.6 13688
GA ATKINSON 1.3 1.7 1.7 1.6 6864
GA BACON 1.4 1.9 1.8 1.7 8693
GA BAKER 1.3 1.7 1.7 1.6 5353
GA BALDWIN 1.3 1.7 1.7 1.6 31556
GA BANKS 1.5 1.7 1.9 1.6 6750
GA BARROW 1.2 1.7 1.5 1.6 13701
GA BARTOW 1.4 1.7 1.7 1.6 27750
GA BEN HILL 1.2 1.7 1.5 1.6 14344
GA BERRIEN 1.3 1.7 1.7 1.6 13147
GA BIBB 1.2 1.8 1.5 1.7 125628
GA BLECKLEY 1.3 1.7 1.6 1.5 9399
GA BRANTLEY 1.3 1.8 1.6 1.7 6174
GA BROOKS 1.0 1.7 1.3 1.6 16949
GA BRYAN 1.5 1.7 1.9 1.6 6071
GA BULLOCH 1.4 1.7 1.8 1.6 24533
GA BURKE 1.4 1.8 1.7 1.7 22240
GA BUTTS 1.2 1.7 1.5 1.6 9034
GA CALHOUN 1.2 1.7 1.5 1.6 8052
GA CAMDEN 1.3 1.8 1.7 1.6 8451
GA CANDLER 1.2 1.7 1.5 1.6 7475
GA CARROLL 1.4 1.7 1.8 1.6 35112
GA CATOOSA 1.3 1.7 1.6 1.6 17678
GA CHARLTON 1.3 1.8 1.6 1.7 5029
GA CHATHAM 1.3 1.7 1.7 1.6 167129
GA CHATTAHOOCHE 1.1 1.8 1.5 1.6 12563
GA CHATTOOGA 1.2 1.7 1.5 1.5 20674
GA CHEROKEE 1.3 1.7 1.6 1.5 21706
GA CLARKE 1.3 1.7 1.6 1.6 40297
GA CLAY 1.2 1.8 1.6 1.7 5297
GA CLAYTON 1.2 1.7 1.5 1.6 32859
GA CLINCH 1.2 1.8 1.6 1.7 6236
GA COBB 1.2 1.7 1.5 1.6 84077
GA COFFEE 1.1 1.9 1.5 1.8 23107
GA COLQUITT 1.4 1.8 1.7 1.7 34025
GA COLUMBIA 1.1 1.7 1.4 1.6 11182
GA COOK 1.2 1.7 1.5 1.6 12040
GA COWETA 1.2 1.7 1.5 1.6 28258
GA CRAWFORD 1.2 1.7 1.5 1.6 5971
GA CRISP 1.1 1.8 1.4 1.6 17709
GA DADE 1.3 1.7 1.6 1.6 7918
GA DAWSON 1.3 1.7 1.6 1.6 3659
GA DECATUR 1.1 1.7 1.4 1.6 24297
GA DE KALB 1.2 1.7 1.5 1.5 187559
GA DODGE 1.1 1.7 1.4 1.6 17280
GA DOOLY 1.1 1.8 1.4 1.6 13019
GA DOUGHERTY 1.1 1.8 1.5 1.6 57245
GA DOUGLAS 1.2 1.7 1.5 1.6 14116
GA EARLY 1.2 1.7 1.5 1.6 15601
GA ECHOLS 1.1 1.8 1.4 1.6 2234
GA EFFINGHAM 1.6 1.7 2.0 1.6 9565
GA ELBERT 1.1 1.7 1.5 1.6 18266
GA EMANUEL 1.2 1.7 1.5 1.6 18949
GA EVANS 1.6 1.7 2.0 1.6 6776
GA FANNIN 1.6 1.7 2.0 1.6 14526
GA FAYETTE 1.2 1.7 1.5 1.6 8070
GA FLOYD 1.5 1.7 1.9 1.6 65551
GA FORSYTH 1.3 1.7 1.6 1.6 11506
GA FRANKLIN 1.3 1.8 1.7 1.6 13948
GA FULTON 1.0 1.7 1.3 1.6 508744
GA GILMER 1.5 1.7 1.9 1.6 9521
GA GLASCOCK 1.3 1.8 1.6 1.7 3192
GA GLYNN 1.3 1.7 1.7 1.6 34530
GA GORDON 1.5 1.7 1.9 1.6 19051
GA GRADY 1.2 1.7 1.5 1.6 18543
GA GREENE 1.4 1.7 1.8 1.6 12141
GA GWINNETT 1.2 1.7 1.5 1.6 37086
GA HABERSHAM 1.3 1.9 1.6 1.7 17218
GA HALL 1.3 1.7 1.6 1.6 44205
GA HANCOCK 1.3 1.7 1.6 1.6 10597
GA HARALSON 1.3 1.7 1.6 1.6 14609
GA HARRIS 1.2 1.7 1.5 1.6 11225
GA HART 1.3 1.7 1.6 1.6 14811
GA HEARD 1.1 1.7 1.4 1.6 6279
GA HENRY 1.3 1.7 1.6 1.6 16606
GA HOUSTON 1.2 1.7 1.5 1.6 28697
GA IRWIN 1.2 1.7 1.5 1.6 10801
GA JACKSON 1.3 1.7 1.6 1.6 18783
GA JASPER 1.1 1.7 1.4 1.6 6900
GA JEFF DAVIS 1.4 1.9 1.8 1.7 9136
GA JEFFERSON 1.5 2.0 1.9 1.8 18267
GA JENKINS 1.5 1.8 1.9 1.7 9795
GA JOHNSON 1.4 1.9 1.8 1.8 9107
GA JONES 1.1 1.7 1.5 1.6 7933
GA LAMAR 1.2 1.8 1.6 1.6 10245
GA LANIER 1.3 1.9 1.6 1.7 5133
GA LAURENS 1.1 1.7 1.3 1.6 32779
GA LEE 1.2 1.7 1.5 1.6 6475
GA LIBERTY 1.5 1.8 1.9 1.6 11017
GA LINCOLN 1.2 1.7 1.5 1.6 6226
GA LONG 1.3 1.8 1.7 1.6 3717
GA LOWNDES 1.2 1.9 1.5 1.7 41185
GA LUMPKIN 1.5 1.7 1.9 1.6 6857
GA MCDUFFIE 1.2 1.8 1.6 1.6 11950
GA MCINTOSH 1.3 1.8 1.6 1.7 6158
GA MACON 0.9 1.7 1.1 1.6 13770
GA MADISON 1.4 1.7 1.8 1.6 11815
GA MARION 1.1 1.7 1.4 1.6 6078
GA MERIWETHER 1.2 1.7 1.5 1.6 20507
GA MILLER 1.1 1.7 1.4 1.6 8123
GA MITCHELL 1.2 1.8 1.5 1.7 21308
GA MONROE 1.3 1.7 1.6 1.6 10514
GA MONTGOMERY 1.2 1.7 1.5 1.6 7214
GA MORGAN 1.4 1.7 1.8 1.6 11210
GA MURRAY 1.4 1.7 1.8 1.6 10580
GA NEWTON 1.2 1.7 1.5 1.6 20536
GA OCONEE 1.4 1.7 1.8 1.6 6711
GA OGLETHORPE 1.3 1.7 1.6 1.6 9101
GA PAULDING 1.4 1.7 1.8 1.6 12326
GA PEACH 1.2 1.7 1.5 1.6 12613
GA PICKENS 1.3 1.7 1.6 1.6 8877
GA PIERCE 1.3 1.7 1.7 1.6 10503
GA PIKE 1.2 1.7 1.5 1.6 7900
GA POLK 1.1 1.6 1.4 1.5 29721
GA PULASKI 1.2 1.7 1.5 1.6 8552
GA PUTNAM 1.1 1.7 1.4 1.6 7763
GA QUITMAN 1.2 1.7 1.5 1.6 2765
GA RABUN 2.0 1.9 2.6 1.7 7439
GA RANDOLPH 1.3 1.8 1.7 1.6 12647
GA RICHMOND 1.3 1.8 1.6 1.7 120231
GA ROCKDALE 1.1 1.7 1.4 1.5 9363
GA SCHLEY 1.3 1.7 1.7 1.6 3703
GA SCREVEN 1.5 1.8 1.9 1.6 16693
GA SEMINOLE 1.0 1.7 1.2 1.6 7436
GA SPALDING 1.2 1.8 1.6 1.6 32895
GA STEPHENS 1.4 1.7 1.8 1.6 17389
GA STEWART 1.1 1.7 1.4 1.6 8420
GA SUMTER 1.2 1.7 1.5 1.6 24395
GA TALBOT 1.1 1.7 1.4 1.6 7450
GA TALIAFERRO 1.3 1.7 1.7 1.6 4029
GA TATTNALL 1.6 1.7 2.0 1.6 15896
GA TAYLOR 1.1 1.8 1.4 1.6 8770
GA TELFAIR 1.2 1.7 1.5 1.6 12583
GA TERRELL 1.3 1.7 1.7 1.6 13645
GA THOMAS 1.2 1.8 1.6 1.6 34098
GA TIFT 1.2 1.7 1.5 1.6 23005
GA TOOMBS 1.3 1.8 1.7 1.6 17153
GA TOWNS 1.8 1.9 2.2 1.7 4692
GA TREUTLEN 1.0 1.7 1.3 1.5 6247
GA TROUP 1.4 1.7 1.8 1.6 48719
GA TURNER 1.2 1.7 1.5 1.6 9613
GA TWIGGS 1.3 1.7 1.7 1.6 8152
GA UNION 1.7 1.7 2.2 1.6 6976
GA UPSON 1.1 1.7 1.4 1.6 24538
GA WALKER 1.3 1.7 1.6 1.6 41196
GA WALTON 1.2 1.7 1.5 1.6 20339
GA WARE 1.2 1.8 1.5 1.7 31967
GA WARREN 1.3 1.7 1.7 1.6 8178
GA WASHINGTON 1.4 1.9 1.8 1.8 20117
GA WAYNE 1.4 1.9 1.8 1.7 15812
GA WEBSTER 1.3 1.7 1.7 1.6 3727
GA WHEELER 1.3 1.8 1.7 1.6 6127
GA WHITE 1.6 1.7 2.0 1.6 6372
GA WHITFIELD 1.1 1.7 1.5 1.6 37693
GA WILCOX 1.2 1.8 1.5 1.6 9206
GA WILKES 1.2 1.7 1.5 1.6 11783
GA WILKINSON 1.3 1.7 1.7 1.6 9558
GA WORTH 1.3 2.0 1.6 1.8 18221
GA COLUMBUS 1.1 1.7 1.5 1.6 135231
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Idaho
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
-------------------------
ID ADA 3.3 2.1 3.8 2.0 80347
ID ADAMS 5.0 2.0 5.7 1.9 3193
ID BANNOCK 2.8 1.8 3.1 1.7 44973
ID BEAR LAKE 3.1 1.9 3.7 1.8 6971
ID BENEWAH 3.3 2.7 3.8 2.6 6116
ID BINGHAM 1.5 1.8 1.7 1.7 25376
ID BLAINE 11.5 4.0 13.4 3.8 5050
ID BOISE 5.5 2.6 6.4 2.5 1721
ID BONNER 2.9 2.1 3.3 2.0 15164
ID BONNEVILLE 2.4 1.8 2.7 1.7 37306
ID BOUNDARY 2.7 2.2 3.1 2.1 5868
ID BUTTE 5.3 3.0 6.1 2.8 3053
ID CAMAS 5.8 2.9 6.6 2.8 1013
ID CANYON 1.7 1.9 2.0 1.8 55326
ID CARIBOU 2.8 1.8 3.2 1.7 5748
ID CASSIA 3.3 1.9 3.8 1.8 15261
ID CLARK 5.4 1.9 6.2 1.8 921
ID CLEARWATER 4.9 3.3 5.7 3.1 8357
ID CUSTER 13.5 4.0 15.7 3.9 3182
ID ELMORE 4.3 2.4 5.0 2.2 10950
ID FRANKLIN 3.0 1.8 3.6 1.7 9264
ID FREMONT 6.2 2.1 7.0 2.0 9067
ID GEM 13.3 4.1 15.4 3.9 8899
ID GOODING 4.6 2.3 5.3 2.1 10443
ID IDAHO 8.2 3.6 9.4 3.5 12322
ID JEFFERSON 5.5 3.3 6.3 3.1 10996
ID JEROME 3.1 2.1 3.5 2.0 11925
ID KOOTENAI 2.7 2.1 3.1 2.0 26905
ID LATAH 3.9 2.8 4.4 2.7 21053
ID LEMHI 11.3 3.6 13.0 3.5 6082
ID LEWIS 4.1 3.3 4.7 3.1 4298
ID LINCOLN 5.2 2.3 5.9 2.2 4013
ID MADISON 4.6 2.8 5.3 2.6 9267
ID MINIDOKA 2.6 2.0 3.0 1.9 11743
ID NEZ PERCE 3.8 3.1 4.3 3.0 24534
ID ONEIDA 2.8 1.8 3.3 1.7 4050
ID OWYHEE 5.2 2.3 5.9 2.2 6338
ID PAYETTE 5.3 2.4 6.0 2.3 12108
ID POWER 2.1 1.7 2.5 1.7 4044
ID SHOSHONE 3.6 2.8 4.2 2.7 21990
ID TETON 5.3 2.3 6.1 2.1 2962
ID TWIN FALLS 3.2 2.0 3.7 1.9 41346
ID VALLEY 6.5 3.2 7.8 3.0 4017
ID WASHINGTON 6.2 3.0 7.0 2.9 8486
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Illinois
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
-------------------------
IL ADAMS 5.6 3.0 6.5 2.8 66300
IL ALEXANDER 3.3 1.9 3.8 1.8 18507
IL BOND 2.6 2.8 3.1 2.7 14116
IL BOONE 2.5 4.2 2.9 4.0 18453
IL BROWN 3.9 3.3 4.5 3.2 6742
IL BUREAU 3.7 2.0 4.2 1.9 37659
IL CALHOUN 3.3 2.6 3.9 2.5 6487
IL CARROLL 3.2 2.0 3.8 1.9 19201
IL CASS 4.4 3.1 5.1 2.9 14860
IL CHAMPAIGN 1.9 4.3 2.3 4.0 117294
IL CHRISTIAN 5.3 2.9 6.1 2.8 38133
IL CLARK 1.3 5.1 1.6 4.8 17018
IL CLAY 3.5 3.1 4.1 3.0 16751
IL CLINTON 3.5 1.9 4.1 1.8 23202
IL COLES 3.1 3.3 3.6 3.2 41404
IL COOK 1.9 2.6 2.2 2.4 4772685
IL CRAWFORD 4.5 2.1 5.1 2.0 20972
IL CUMBERLAND 1.8 3.9 2.1 3.7 10256
IL DE KALB 3.7 2.5 4.3 2.4 45428
IL DE WITT 2.7 4.1 3.2 3.9 17045
IL DOUGLAS 3.0 3.3 3.5 3.1 17786
IL DU PAGE 2.9 2.4 3.4 2.3 222116
IL EDGAR 2.2 3.6 2.6 3.4 23044
IL EDWARDS 3.8 1.9 4.4 1.8 8579
IL EFFINGHAM 3.3 3.3 3.8 3.1 22285
IL FAYETTE 2.2 3.0 2.6 2.8 23464
IL FORD 3.1 2.8 3.6 2.6 16202
IL FRANKLIN 2.8 1.9 3.2 1.8 44694
IL FULTON 2.9 4.1 3.5 3.9 42963
IL GALLATIN 3.1 2.3 3.6 2.2 8897
IL GREENE 3.1 3.4 3.6 3.2 18260
IL GRUNDY 3.6 2.3 4.1 2.2 20547
IL HAMILTON 2.6 1.8 3.0 1.7 11306
IL HANCOCK 6.5 3.0 7.5 2.9 25273
IL HARDIN 2.5 1.7 3.0 1.7 6830
IL HENDERSON 3.7 3.8 4.4 3.6 8343
IL HENRY 3.2 3.9 3.8 3.7 47690
IL IROQUOIS 3.0 2.5 3.5 2.4 32863
IL JACKSON 3.5 2.3 4.1 2.1 39834
IL JASPER 2.9 4.1 3.4 3.9 11878
IL JEFFERSON 3.4 2.8 3.9 2.7 34377
IL JERSEY 3.3 2.6 3.9 2.5 16013
IL JO DAVIESS 4.6 2.4 5.3 2.3 21611
IL JOHNSON 2.8 2.0 3.2 1.9 7964
IL KANE 3.7 2.2 4.3 2.1 174978
IL KANKAKEE 3.2 2.4 3.7 2.3 81402
IL KENDALL 2.7 2.1 3.1 2.0 14420
IL KNOX 2.8 4.5 3.3 4.3 57302
IL LAKE 3.2 2.2 3.7 2.1 227787
IL LA SALLE 4.6 2.0 5.4 1.9 104940
IL LAWRENCE 3.2 2.4 3.7 2.3 19689
IL LEE 4.6 2.1 5.2 2.0 37430
IL LIVINGSTON 3.5 2.3 4.1 2.1 38887
IL LOGAN 5.7 2.8 6.6 2.6 31939
IL MCDONOUGH 3.5 4.0 4.1 3.8 28507
IL MCHENRY 3.2 2.2 3.7 2.1 64912
IL MCLEAN 2.5 4.1 3.0 3.9 79677
IL MACON 4.8 2.9 5.5 2.7 107100
IL MACOUPIN 2.8 3.6 3.3 3.4 43909
IL MADISON 3.5 2.0 4.0 1.9 200321
IL MARION 3.0 1.9 3.4 1.8 40698
IL MARSHALL 1.7 5.5 2.2 5.2 13152
IL MASON 2.9 4.0 3.4 3.8 15270
IL MASSAC 2.9 1.9 3.3 1.8 13912
IL MENARD 3.6 3.2 4.1 3.0 9478
IL MERCER 2.7 4.2 3.2 4.0 17280
IL MONROE 3.6 2.3 4.1 2.2 14227
IL MONTGOMERY 3.4 3.4 3.9 3.2 31941
IL MORGAN 4.3 3.0 5.0 2.9 35995
IL MOULTRIE 3.4 3.4 3.9 3.2 13372
IL OGLE 4.8 2.4 5.6 2.2 35416
IL PEORIA 3.5 3.9 4.1 3.7 180596
IL PERRY 2.9 2.3 3.3 2.2 20620
IL PIATT 3.6 3.2 4.1 3.0 14394
IL PIKE 6.6 2.8 7.6 2.7 21469
IL POPE 3.0 2.0 3.5 1.9 5052
IL PULASKI 3.2 1.9 3.7 1.8 12302
IL PUTNAM 4.1 2.1 4.7 2.0 4672
IL RANDOLPH 3.8 2.3 4.4 2.1 30958
IL RICHLAND 3.1 2.7 3.6 2.5 16636
IL ROCK ISLAND 2.9 4.0 3.5 3.7 140967
IL ST CLAIR 3.4 1.9 3.9 1.8 230011
IL SALINE 3.2 2.0 3.7 1.9 30366
IL SANGAMON 3.9 3.4 4.6 3.2 137884
IL SCHUYLER 2.8 3.6 3.2 3.5 9248
IL SCOTT 4.3 3.0 5.0 2.9 6878
IL SHELBY 3.6 3.4 4.2 3.2 24001
IL STARK 3.2 3.9 3.8 3.7 8477
IL STEPHENSON 4.9 2.2 5.6 2.1 43559
IL TAZEWELL 2.2 4.5 2.6 4.3 86209
IL UNION 3.1 1.9 3.6 1.8 19287
IL VERMILION 2.1 4.1 2.5 3.9 90942
IL WABASH 3.8 2.1 4.4 2.0 14398
IL WARREN 3.8 3.9 4.4 3.7 21812
IL WASHINGTON 3.0 2.0 3.5 1.9 14083
IL WAYNE 3.5 2.3 4.1 2.1 20117
IL WHITE 3.1 1.9 3.6 1.8 20269
IL WHITESIDE 5.6 2.1 6.4 2.0 53821
IL WILL 3.5 2.5 4.0 2.4 158684
IL WILLIAMSON 3.0 1.9 3.4 1.8 47557
IL WINNEBAGO 3.4 3.5 4.0 3.3 176778
IL WOODFORD 1.6 5.6 2.1 5.3 22712
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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
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Iowa
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
-------------------------
IA ADAIR 5.9 3.0 6.9 2.9 11698
IA ADAMS 5.5 3.2 6.3 3.0 8207
IA ALLAMAKEE 4.3 2.6 4.9 2.4 16193
IA APPANOOSE 5.0 3.3 5.8 3.2 18123
IA AUDUBON 3.7 3.5 4.3 3.3 11296
IA BENTON 4.0 3.9 4.8 3.7 22980
IA BLACK HAWK 1.7 6.6 2.1 6.2 109811
IA BOONE 4.1 4.0 4.8 3.8 28096
IA BREMER 4.0 3.6 4.7 3.5 19829
IA BUCHANAN 2.8 4.1 3.3 3.9 22083
IA BUENA VISTA 3.5 4.0 4.2 3.8 21147
IA BUTLER 3.8 3.9 4.4 3.7 17426
IA CALHOUN 3.5 4.0 4.2 3.8 16497
IA CARROLL 4.6 3.7 5.4 3.5 23219
IA CASS 5.0 3.3 5.8 3.1 18276
IA CEDAR 3.8 3.2 4.5 3.0 17285
IA CERRO GORDO 2.8 4.7 3.3 4.5 47686
IA CHEROKEE 3.8 4.0 4.5 3.8 18856
IA CHICKASAW 5.0 2.1 5.7 2.0 15143
IA CLARKE 4.7 3.3 5.5 3.1 8882
IA CLAY 2.9 4.3 3.6 4.0 18277
IA CLAYTON 4.4 3.2 5.1 3.0 22281
IA CLINTON 2.4 4.5 2.9 4.2 51956
IA CRAWFORD 2.8 4.5 3.4 4.2 19244
IA DALLAS 4.9 3.1 5.7 3.0 23863
IA DAVIS 5.2 3.2 6.1 3.0 9639
IA DECATUR 5.5 3.2 6.4 3.0 11730
IA DELAWARE 3.4 3.6 4.0 3.5 18056
IA DES MOINES 2.9 4.2 3.4 4.0 43137
IA DICKINSON 2.9 4.3 3.5 4.0 12677
IA DUBUQUE 2.3 4.5 2.9 4.3 75041
IA EMMET 2.4 4.5 3.0 4.3 14431
IA FAYETTE 4.0 3.8 4.7 3.6 28416
IA FLOYD 3.2 4.1 3.9 3.9 21338
IA FRANKLIN 3.5 3.9 4.1 3.7 15928
IA FREMONT 5.7 3.1 6.6 3.0 11456
IA GREENE 3.8 4.0 4.5 3.7 15048
IA GRUNDY 4.7 2.3 5.4 2.1 13898
IA GUTHRIE 3.1 3.6 3.7 3.4 14517
IA HAMILTON 3.5 4.0 4.2 3.8 19815
IA HANCOCK 2.7 4.4 3.3 4.1 14877
IA HARDIN 3.2 3.9 3.8 3.7 22355
IA HARRISON 4.9 3.2 5.7 3.0 18726
IA HENRY 2.5 4.0 3.0 3.7 18488
IA HOWARD 5.0 3.3 5.8 3.2 12945
IA HUMBOLDT 2.8 4.4 3.4 4.1 13137
IA IDA 4.1 4.0 4.8 3.8 10514
IA IOWA 2.9 4.4 3.6 4.1 16075
IA JACKSON 1.9 4.9 2.4 4.6 19527
IA JASPER 4.8 3.6 5.7 3.4 33572
IA JEFFERSON 3.6 3.3 4.2 3.1 15748
IA JOHNSON 2.6 3.9 3.1 3.7 49113
IA JONES 2.8 3.6 3.3 3.4 19951
IA KEOKUK 3.1 3.6 3.7 3.4 16242
IA KOSSUTH 3.2 4.1 3.9 3.9 25845
IA LEE 5.0 2.9 5.9 2.7 43571
IA LINN 3.8 3.2 4.6 3.0 118144
IA LOUISA 2.6 4.0 3.0 3.7 10759
IA LUCAS 4.6 2.1 5.3 2.0 11583
IA LYON 3.5 4.2 4.2 4.0 14597
IA MADISON 4.9 3.2 5.8 3.0 12774
IA MAHASKA 4.4 3.3 5.2 3.1 24215
IA MARION 5.7 3.0 6.6 2.9 25916
IA MARSHALL 4.3 3.9 5.1 3.7 36616
IA MILLS 2.0 4.7 2.5 4.4 13634
IA MITCHELL 4.0 3.6 4.7 3.4 13986
IA MONONA 4.3 3.8 5.1 3.6 15288
IA MONROE 5.0 3.3 5.8 3.1 11239
IA MONTGOMERY 3.8 4.0 4.5 3.7 15167
IA MUSCATINE 2.6 3.6 3.1 3.4 32868
IA O BRIEN 4.0 3.8 4.8 3.6 18916
IA OSCEOLA 3.2 4.2 3.8 4.0 10131
IA PAGE 3.5 3.0 4.0 2.8 22689
IA PALO ALTO 2.9 4.3 3.5 4.0 15400
IA PLYMOUTH 3.5 4.1 4.2 3.9 23534
IA POCAHONTAS 3.2 4.2 3.9 4.0 14961
IA POLK 3.6 3.3 4.2 3.2 243139
IA POTTAWATTAMI 3.9 3.3 4.5 3.1 75386
IA POWESHIEK 4.8 3.6 5.6 3.4 19328
IA RINGGOLD 5.0 3.3 5.8 3.1 8839
IA SAC 3.8 4.0 4.5 3.7 17303
IA SCOTT 2.4 3.8 2.9 3.6 108502
IA SHELBY 5.2 3.2 6.0 3.0 15895
IA SIOUX 4.1 4.0 4.8 3.8 26377
IA STORY 4.0 3.6 4.8 3.4 46439
IA TAMA 5.8 3.3 6.8 3.2 21565
IA TAYLOR 5.2 2.7 6.0 2.6 11512
IA UNION 5.0 3.3 5.8 3.1 14823
IA VAN BUREN 5.5 2.8 6.4 2.7 10484
IA WAPELLO 4.7 3.3 5.6 3.1 46855
IA WARREN 3.6 3.3 4.2 3.2 19064
IA WASHINGTON 3.6 3.2 4.2 3.0 19495
IA WAYNE 4.9 3.2 5.7 3.0 10920
IA WEBSTER 3.2 4.0 3.8 3.8 45758
IA WINNEBAGO 2.8 4.4 3.3 4.1 13302
IA WINNESHIEK 3.8 4.0 4.5 3.8 21647
IA WOODBURY 5.2 3.7 6.1 3.5 105589
IA WORTH 4.0 3.6 4.7 3.4 10724
IA WRIGHT 2.0 4.5 2.5 4.3 19563
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Kansas
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
-------------------------
KS ALLEN 4.6 2.0 5.4 1.9 17415
KS ANDERSON 4.7 2.1 5.5 2.0 9743
KS ATCHISON 4.1 1.8 4.8 1.7 21236
KS BARBER 5.1 1.8 6.1 1.7 8605
KS BARTON 5.6 1.8 6.6 1.7 30956
KS BOURBON 4.2 2.1 4.9 2.0 17850
KS BROWN 4.1 1.7 4.8 1.6 14045
KS BUTLER 5.8 1.8 6.8 1.7 34144
KS CHASE 5.6 1.9 6.6 1.8 4446
KS CHAUTAUQUA 5.4 2.0 6.3 1.8 6777
KS CHEROKEE 4.2 2.2 5.0 2.0 23926
KS CHEYENNE 4.9 2.0 5.8 1.9 5262
KS CLARK 4.8 1.9 5.7 1.8 3710
KS CLAY 4.2 2.1 4.9 2.0 11261
KS CLOUD 4.4 1.9 5.2 1.8 15385
KS COFFEY 5.2 1.9 6.1 1.8 9558
KS COMANCHE 4.4 1.8 5.2 1.7 3627
KS COWLEY 5.2 1.9 6.1 1.8 37311
KS CRAWFORD 4.4 2.0 5.2 1.9 38869
KS DECATUR 5.1 1.9 6.0 1.8 6012
KS DICKINSON 5.6 1.9 6.6 1.8 21352
KS DONIPHAN 3.9 1.7 4.6 1.6 10108
KS DOUGLAS 4.7 1.9 5.5 1.8 38184
KS EDWARDS 4.2 1.8 5.0 1.7 5587
KS ELK 5.5 1.9 6.4 1.8 5985
KS ELLIS 5.4 1.8 6.4 1.7 19988
KS ELLSWORTH 5.9 2.0 7.0 1.8 8130
KS FINNEY 4.3 1.9 5.2 1.7 15518
KS FORD 5.5 1.9 6.6 1.7 20211
KS FRANKLIN 4.1 1.8 4.8 1.7 19763
KS GEARY 4.8 1.9 5.7 1.8 24691
KS GOVE 5.1 1.9 6.0 1.8 4302
KS GRAHAM 5.8 1.8 6.8 1.7 5259
KS GRANT 4.5 1.9 5.4 1.7 4907
KS GRAY 4.4 1.8 5.3 1.7 4681
KS GREELEY 4.6 1.8 5.4 1.7 2038
KS GREENWOOD 5.3 1.9 6.2 1.8 12591
KS HAMILTON 4.5 2.0 5.4 1.8 3464
KS HARPER 5.5 1.8 6.4 1.7 9961
KS HARVEY 5.6 1.8 6.6 1.7 23473
KS HASKELL 4.5 1.9 5.3 1.8 2773
KS HODGEMAN 4.6 1.8 5.5 1.7 3224
KS JACKSON 5.0 1.8 5.8 1.7 10763
KS JEFFERSON 4.1 1.8 4.9 1.7 11155
KS JEWELL 4.6 1.9 5.4 1.8 8646
KS JOHNSON 4.2 1.9 5.0 1.8 97215
KS KEARNY 5.2 1.8 6.2 1.7 3327
KS KINGMAN 5.4 1.8 6.4 1.7 10169
KS KIOWA 4.4 2.0 5.2 1.9 4693
KS LABETTE 5.6 1.9 6.6 1.8 28230
KS LANE 4.8 1.9 5.8 1.8 2918
KS LEAVENWORTH 4.7 1.8 5.6 1.7 44980
KS LINCOLN 6.2 1.9 7.3 1.8 6183
KS LINN 4.5 1.8 5.2 1.7 9301
KS LOGAN 4.8 2.0 5.8 1.8 4138
KS LYON 5.5 1.9 6.5 1.8 26723
KS MCPHERSON 6.0 1.9 7.0 1.8 23932
KS MARION 6.7 1.9 7.8 1.8 15809
KS MARSHALL 4.6 1.7 5.4 1.6 16942
KS MEADE 4.7 1.8 5.6 1.7 5622
KS MIAMI 4.1 1.9 4.9 1.8 19776
KS MITCHELL 5.7 1.9 6.7 1.8 9701
KS MONTGOMERY 4.8 1.9 5.6 1.8 45860
KS MORRIS 5.6 1.9 6.6 1.8 8022
KS MORTON 4.5 1.9 5.3 1.8 2927
KS NEMAHA 4.4 1.7 5.2 1.6 13728
KS NEOSHO 5.0 2.1 5.9 1.9 19973
KS NESS 5.9 1.9 7.0 1.8 5962
KS NORTON 5.8 1.9 6.9 1.8 8479
KS OSAGE 5.0 2.0 5.9 1.8 12847
KS OSBORNE 6.3 1.9 7.4 1.8 8114
KS OTTAWA 5.9 2.0 6.9 1.8 7063
KS PAWNEE 4.6 1.8 5.4 1.7 10705
KS PHILLIPS 5.1 1.8 6.0 1.7 9036
KS POTTAWATOMIE 5.3 1.8 6.2 1.7 12176
KS PRATT 5.0 1.8 5.9 1.7 12139
KS RAWLINS 5.1 2.1 6.0 2.0 5537
KS RENO 5.4 2.3 6.4 2.1 56184
KS REPUBLIC 5.7 2.0 6.7 1.8 10751
KS RICE 5.2 2.2 6.1 2.0 14901
KS RILEY 4.8 2.0 5.8 1.8 37022
KS ROOKS 5.6 1.8 6.6 1.7 9339
KS RUSH 4.9 1.8 5.8 1.7 6774
KS RUSSELL 6.9 1.9 8.1 1.8 12533
KS SALINE 6.0 1.9 7.2 1.8 42468
KS SCOTT 4.8 1.9 5.7 1.8 5058
KS SEDGWICK 4.6 1.7 5.4 1.6 273691
KS SEWARD 4.3 1.8 5.2 1.7 12504
KS SHAWNEE 5.2 1.8 6.2 1.7 120661
KS SHERIDAN 4.8 1.9 5.6 1.8 4464
KS SHERMAN 3.6 2.1 4.3 2.0 7077
KS SMITH 5.8 1.8 6.8 1.7 8393
KS STAFFORD 4.6 1.9 5.4 1.8 8235
KS STANTON 4.8 1.9 5.8 1.8 2194
KS STEVENS 5.1 2.0 6.2 1.9 4469
KS SUMNER 5.1 1.8 6.1 1.7 24359
KS THOMAS 4.3 2.0 5.1 1.8 7481
KS TREGO 5.5 1.9 6.5 1.8 5704
KS WABAUNSEE 6.0 1.9 7.1 1.8 6974
KS WALLACE 5.7 1.9 6.7 1.8 2319
KS WASHINGTON 4.8 1.9 5.7 1.8 12027
KS WICHITA 5.1 1.9 6.1 1.8 2695
KS WILSON 4.8 1.9 5.6 1.8 14082
KS WOODSON 5.2 1.9 6.1 1.8 6171
KS WYANDOTTE 4.2 1.9 5.0 1.8 173891
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Kentucky
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
-------------------------
KY ADAIR 1.5 2.2 1.8 2.0 16367
KY ALLEN 1.7 1.9 2.0 1.8 13138
KY ANDERSON 1.8 2.7 2.1 2.5 8826
KY BALLARD 2.3 1.9 2.7 1.8 8441
KY BARREN 1.5 2.5 1.8 2.3 28396
KY BATH 1.1 4.8 1.4 4.5 9859
KY BELL 1.0 4.5 1.2 4.2 42391
KY BOONE 1.2 4.3 1.5 4.0 16811
KY BOURBON 1.1 3.5 1.3 3.2 17930
KY BOYD 1.1 4.8 1.4 4.5 50892
KY BOYLE 1.0 4.1 1.2 3.8 20840
KY BRACKEN 1.1 4.6 1.4 4.3 8001
KY BREATHITT 2.9 2.5 3.5 2.3 18065
KY BRECKINRIDGE 1.7 2.0 2.0 1.8 15188
KY BULLITT 1.1 3.4 1.3 3.1 13212
KY BUTLER 1.5 2.6 1.8 2.4 10578
KY CALDWELL 2.4 1.8 2.8 1.7 13146
KY CALLOWAY 1.8 1.7 2.2 1.6 20497
KY CAMPBELL 1.4 4.4 1.8 4.1 80709
KY CARLISLE 2.1 2.2 2.6 2.0 5953
KY CARROLL 1.3 4.6 1.7 4.2 8287
KY CARTER 0.9 5.1 1.2 4.7 21825
KY CASEY 1.8 2.4 2.2 2.3 16122
KY CHRISTIAN 2.1 2.1 2.5 1.9 48538
KY CLARK 1.1 4.3 1.4 4.0 19824
KY CLAY 1.3 3.1 1.5 2.9 22111
KY CLINTON 1.7 1.8 2.0 1.7 9876
KY CRITTENDEN 1.8 1.7 2.1 1.6 9896
KY CUMBERLAND 1.6 2.7 1.9 2.5 8686
KY DAVIESS 1.8 2.6 2.2 2.4 62916
KY EDMONSON 1.6 2.4 1.9 2.3 8830
KY ELLIOTT 0.9 5.1 1.2 4.7 6763
KY ESTILL 1.1 3.8 1.4 3.5 13741
KY FAYETTE 1.2 3.3 1.4 3.1 113993
KY FLEMING 0.9 5.1 1.2 4.7 11511
KY FLOYD 2.1 3.6 2.5 3.4 48464
KY FRANKLIN 1.2 4.3 1.5 4.0 27415
KY FULTON 2.7 2.2 3.3 2.0 12647
KY GALLATIN 1.1 4.8 1.4 4.5 3925
KY GARRARD 1.2 3.5 1.4 3.2 10484
KY GRANT 1.2 4.6 1.5 4.3 9673
KY GRAVES 2.3 2.3 2.7 2.2 30789
KY GRAYSON 1.6 1.7 1.9 1.6 16546
KY GREEN 1.8 2.0 2.1 1.9 11254
KY GREENUP 1.5 3.8 1.9 3.6 26732
KY HANCOCK 1.5 2.9 1.9 2.7 5722
KY HARDIN 1.7 1.9 2.1 1.7 57739
KY HARLAN 1.6 2.7 2.0 2.5 62978
KY HARRISON 1.2 4.6 1.6 4.2 13725
KY HART 1.6 1.7 1.9 1.6 14810
KY HENDERSON 2.1 1.8 2.5 1.7 31906
KY HENRY 1.1 4.9 1.4 4.6 11220
KY HICKMAN 3.3 2.1 3.9 2.0 7341
KY HOPKINS 1.8 1.8 2.2 1.7 38664
KY JACKSON 1.6 2.9 1.9 2.7 12071
KY JEFFERSON 0.9 3.3 1.1 3.1 538310
KY JESSAMINE 1.4 3.2 1.7 2.9 12956
KY JOHNSON 1.4 4.0 1.7 3.7 22105
KY KENTON 1.4 4.5 1.8 4.2 111246
KY KNOTT 1.5 3.7 1.8 3.5 19064
KY KNOX 1.2 3.3 1.4 3.1 28222
KY LARUE 1.7 1.9 2.0 1.8 10120
KY LAUREL 1.6 1.7 2.0 1.6 25418
KY LAWRENCE 1.7 3.8 2.0 3.5 13452
KY LEE 1.7 1.9 2.0 1.8 8180
KY LESLIE 1.0 4.7 1.3 4.4 13585
KY LETCHER 1.4 3.9 1.6 3.7 35516
KY LEWIS 1.5 3.9 1.8 3.7 13352
KY LINCOLN 1.1 3.6 1.3 3.4 17750
KY LIVINGSTON 2.3 1.9 2.7 1.7 7122
KY LOGAN 2.0 1.9 2.3 1.8 21721
KY LYON 1.8 2.1 2.1 2.0 6456
KY MCCRACKEN 2.5 1.9 3.0 1.8 52610
KY MCCREARY 1.1 2.9 1.4 2.7 14875
KY MCLEAN 1.9 2.1 2.3 1.9 9740
KY MADISON 1.5 3.5 1.8 3.2 32158
KY MAGOFFIN 1.7 3.9 2.0 3.7 12702
KY MARION 1.7 1.9 2.0 1.8 17074
KY MARSHALL 1.6 2.5 1.9 2.3 14810
KY MARTIN 1.1 4.4 1.4 4.1 11051
KY MASON 1.0 4.9 1.2 4.5 18474
KY MEADE 1.8 1.7 2.2 1.6 13465
KY MENIFEE 2.0 3.7 2.4 3.5 4577
KY MERCER 1.5 3.2 1.8 3.0 14624
KY METCALFE 2.2 2.0 2.6 1.9 9223
KY MONROE 1.8 2.4 2.1 2.3 12934
KY MONTGOMERY 1.5 2.7 1.8 2.6 13210
KY MORGAN 1.1 4.4 1.4 4.1 12535
KY MUHLENBERG 1.8 2.0 2.1 1.9 30501
KY NELSON 1.5 1.7 1.8 1.6 20649
KY NICHOLAS 1.2 4.6 1.5 4.3 7171
KY OHIO 2.0 2.3 2.4 2.1 19518
KY OLDHAM 1.3 2.9 1.6 2.7 12031
KY OWEN 1.4 4.5 1.8 4.2 9109
KY OWSLEY 2.0 2.8 2.3 2.6 6500
KY PENDLETON 1.2 4.5 1.5 4.2 9766
KY PERRY 1.6 3.8 1.9 3.5 41638
KY PIKE 1.8 3.6 2.3 3.4 75673
KY POWELL 2.0 3.4 2.4 3.2 6754
KY PULASKI 1.4 2.7 1.6 2.5 36731
KY ROBERTSON 1.1 4.8 1.4 4.5 2698
KY ROCKCASTLE 1.2 3.7 1.5 3.4 13253
KY ROWAN 1.5 4.5 1.9 4.2 12754
KY RUSSELL 1.4 2.7 1.7 2.5 12594
KY SCOTT 1.2 4.3 1.5 4.0 15243
KY SHELBY 1.3 4.2 1.6 3.9 18159
KY SIMPSON 1.6 2.1 1.9 2.0 11625
KY SPENCER 1.2 3.8 1.5 3.5 5956
KY TAYLOR 1.7 1.8 2.0 1.7 15202
KY TODD 1.7 2.8 2.1 2.6 12240
KY TRIGG 2.4 1.8 2.8 1.7 9338
KY TRIMBLE 1.7 3.8 2.0 3.5 5131
KY UNION 1.9 2.5 2.3 2.3 14741
KY WARREN 2.8 1.9 3.3 1.8 43920
KY WASHINGTON 0.9 3.8 1.1 3.5 12088
KY WAYNE 1.4 2.5 1.7 2.4 15717
KY WEBSTER 2.1 1.8 2.5 1.7 15000
KY WHITLEY 0.7 4.7 0.9 4.5 29337
KY WOLFE 2.0 3.7 2.4 3.5 7158
KY WOODFORD 1.2 4.2 1.5 3.9 11515
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Louisiana
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
-------------------------
LA ACADIA 2.0 2.5 2.5 2.3 48277
LA ALLEN 2.1 2.5 2.6 2.3 19272
LA ASCENSION 2.1 2.4 2.5 2.2 24743
LA ASSUMPTION 1.6 2.6 2.0 2.4 17586
LA AVOYELLES 1.8 2.5 2.2 2.3 37853
LA BEAUREGARD 2.3 2.5 2.8 2.3 18376
LA BIENVILLE 1.8 1.8 2.2 1.7 18093
LA BOSSIER 1.4 1.7 1.7 1.6 47567
LA CADDO 1.8 1.7 2.2 1.6 196653
LA CALCASIEU 1.9 2.7 2.3 2.5 113367
LA CALDWELL 1.3 2.2 1.6 2.0 9748
LA CAMERON 1.9 2.5 2.4 2.3 6528
LA CATAHOULA 1.8 2.4 2.2 2.2 11660
LA CLAIBORNE 1.4 1.7 1.7 1.6 22661
LA CONCORDIA 1.7 2.4 2.2 2.2 16978
LA DE SOTO 1.5 1.7 1.8 1.6 24334
LA EAST BATON R 1.8 2.5 2.2 2.3 188763
LA EAST CARROLL 1.5 2.0 1.9 1.8 15511
LA EAST FELICIA 2.4 2.2 3.0 2.0 19586
LA EVANGELINE 2.1 2.5 2.6 2.3 31636
LA FRANKLIN 1.5 2.0 1.9 1.8 27980
LA GRANT 2.6 2.4 3.2 2.2 13868
LA IBERIA 1.9 2.4 2.4 2.2 44992
LA IBERVILLE 1.8 2.5 2.2 2.3 28105
LA JACKSON 1.5 2.0 1.9 1.8 15606
LA JEFFERSON 1.9 2.0 2.3 1.9 148455
LA JEFFERSON DA 1.9 2.5 2.5 2.3 27796
LA LAFAYETTE 2.1 2.5 2.6 2.3 69180
LA LAFOURCHE 1.9 2.5 2.5 2.3 47809
LA LA SALLE 1.8 2.5 2.2 2.3 12842
LA LINCOLN 1.6 1.8 1.9 1.7 26952
LA LIVINGSTON 2.1 2.2 2.7 2.1 22995
LA MADISON 1.7 2.0 2.1 1.9 17027
LA MOREHOUSE 1.5 1.9 1.9 1.8 32749
LA NATCHITOCHES 1.3 2.0 1.6 1.8 37086
LA ORLEANS 1.4 1.7 1.8 1.6 594710
LA OUACHITA 1.7 2.2 2.1 2.0 86168
LA PLAQUEMINES 1.8 2.4 2.2 2.2 17769
LA POINTE COUPE 1.8 2.5 2.2 2.3 22116
LA RAPIDES 2.3 2.5 2.8 2.3 99443
LA RED RIVER 1.4 1.8 1.8 1.7 11208
LA RICHLAND 2.1 2.1 2.5 2.0 25465
LA SABINE 1.7 2.4 2.2 2.2 19895
LA ST BERNARD 1.5 2.4 1.9 2.2 20053
LA ST CHARLES 2.2 2.4 2.8 2.2 16705
LA ST HELENA | 
