State and County Exposure Levels
Per capita thyroid doses resulting from all exposure routes from all tests
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 2.2 2.4 2.7 2.2 9076
LA ST JAMES 2.2 2.3 2.7 2.1 16624
LA ST JOHN THE 1.9 2.5 2.5 2.3 16382
LA ST LANDRY 1.8 2.4 2.2 2.2 79765
LA ST MARTIN 1.6 2.5 2.0 2.3 27508
LA ST MARY 1.6 2.5 2.0 2.3 41367
LA ST TAMMANY 1.9 2.3 2.3 2.1 31946
LA TANGIPAHOA 2.1 2.4 2.6 2.2 55857
LA TENSAS 2.2 2.4 2.7 2.2 12612
LA TERREBONNE 1.9 2.4 2.4 2.2 50746
LA UNION 1.6 2.0 1.9 1.9 18496
LA VERMILION 1.9 2.5 2.4 2.3 37750
LA VERNON 1.6 2.5 2.0 2.3 18689
LA WASHINGTON 1.9 2.4 2.3 2.2 40769
LA WEBSTER 1.5 1.7 1.9 1.6 37407
LA WEST BATON R 1.8 2.5 2.2 2.3 13039
LA WEST CARROLL 1.5 2.0 1.9 1.8 15947
LA WEST FELICIA 1.8 2.5 2.2 2.3 11119
LA WINN 1.5 2.0 1.9 1.8 16083
Maine
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
-------------------------
ME ANDROSCOGGIN 2.3 2.3 2.7 2.2 84755
ME AROOSTOOK 3.2 2.0 3.7 1.9 100296
ME CUMBERLAND 2.1 2.4 2.5 2.3 174958
ME FRANKLIN 2.5 2.0 2.9 1.9 20422
ME HANCOCK 2.7 2.0 3.1 1.9 32185
ME KENNEBEC 2.6 2.2 3.0 2.1 86118
ME KNOX 3.0 2.3 3.4 2.2 28312
ME LINCOLN 2.3 2.3 2.7 2.2 18214
ME OXFORD 2.5 2.3 2.9 2.2 44271
ME PENOBSCOT 3.3 1.9 3.8 1.8 115906
ME PISCATAQUIS 2.9 2.0 3.4 1.9 18094
ME SAGADAHOC 2.0 2.1 2.4 2.0 21711
ME SOMERSET 2.4 1.9 2.8 1.8 39771
ME WALDO 2.9 2.3 3.4 2.1 22089
ME WASHINGTON 2.7 1.8 3.2 1.7 34218
ME YORK 2.2 1.9 2.5 1.8 96035
Maryland
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
-------------------------
MD ALLEGANY 1.7 3.2 2.0 3.0 87266
MD ANNE ARUNDEL 2.1 1.8 2.5 1.7 155319
MD BALTIMORE 0.9 4.4 1.2 4.0 1309861
MD CALVERT 2.4 1.8 2.8 1.7 13683
MD CAROLINE 2.1 1.9 2.5 1.8 18755
MD CARROLL 1.7 1.8 2.0 1.7 48256
MD CECIL 1.9 1.8 2.2 1.7 39749
MD CHARLES 2.0 1.7 2.4 1.6 27309
MD DORCHESTER 2.2 1.9 2.5 1.8 28601
MD FREDERICK 2.3 1.9 2.7 1.8 66383
MD GARRETT 1.1 5.0 1.5 4.6 20903
MD HARFORD 1.8 3.1 2.2 2.9 62382
MD HOWARD 1.9 2.2 2.3 2.0 28659
MD KENT 2.0 1.8 2.4 1.7 14444
MD MONTGOMERY 2.4 2.0 2.8 1.9 239426
MD PRINCE GEORG 2.0 1.8 2.5 1.7 263546
MD QUEEN ANNES 1.9 1.8 2.2 1.7 15426
MD ST MARYS 2.2 1.8 2.6 1.7 33278
MD SOMERSET 2.4 2.0 2.8 1.8 20273
MD TALBOT 1.9 1.8 2.3 1.7 20342
MD WASHINGTON 2.1 2.1 2.5 1.9 84128
MD WICOMICO 2.0 1.9 2.3 1.8 43636
MD WORCESTER 2.2 2.0 2.6 1.8 23401
Massachusetts
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
-------------------------
MA BARNSTABLE 2.1 2.2 2.4 2.1 56782
MA BERKSHIRE 3.9 2.0 4.4 1.9 136865
MA BRISTOL 2.0 2.1 2.4 2.0 388757
MA DUKES 1.6 2.1 1.9 2.0 5715
MA ESSEX 1.5 2.4 1.8 2.3 542126
MA FRANKLIN 2.8 1.9 3.3 1.8 53645
MA HAMPDEN 2.6 2.1 3.0 2.0 394061
MA HAMPSHIRE 2.9 2.0 3.4 1.9 94239
MA MIDDLESEX 1.9 2.2 2.2 2.1 1138593
MA NANTUCKET 2.2 2.5 2.6 2.4 3516
MA NORFOLK 1.9 2.2 2.3 2.1 442438
MA PLYMOUTH 2.0 2.3 2.3 2.1 214538
MA SUFFOLK 2.1 2.3 2.4 2.1 851870
MA WORCESTER 2.0 2.0 2.3 1.9 562056
Michigan
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
-------------------------
MI ALCONA 2.5 2.1 2.8 2.0 6065
MI ALGER 2.0 2.3 2.3 2.1 9686
MI ALLEGAN 2.8 2.2 3.2 2.1 51850
MI ALPENA 1.5 2.0 1.7 1.9 24895
MI ANTRIM 2.2 2.0 2.5 1.9 10573
MI ARENAC 2.3 2.3 2.7 2.1 9736
MI BARAGA 2.1 2.1 2.4 2.0 7659
MI BARRY 3.4 2.4 3.8 2.3 28542
MI BAY 2.1 2.5 2.4 2.4 96359
MI BENZIE 1.7 2.0 2.0 1.9 8105
MI BERRIEN 3.0 2.2 3.4 2.1 130222
MI BRANCH 3.8 2.6 4.4 2.5 32201
MI CALHOUN 3.3 2.7 3.8 2.6 128481
MI CASS 2.7 1.9 3.1 1.8 31903
MI CHARLEVOIX 2.4 2.0 2.8 1.9 13454
MI CHEBOYGAN 1.9 1.9 2.2 1.8 14078
MI CHIPPEWA 2.4 2.0 2.7 1.9 30675
MI CLARE 2.0 2.3 2.3 2.1 10843
MI CLINTON 2.9 2.8 3.3 2.6 34071
MI CRAWFORD 1.9 2.0 2.2 1.9 4502
MI DELTA 2.0 2.2 2.3 2.1 33501
MI DICKINSON 2.0 2.1 2.3 2.0 24447
MI EATON 2.9 3.7 3.4 3.5 44129
MI EMMET 1.9 2.0 2.1 1.9 16264
MI GENESEE 2.4 3.3 2.8 3.1 314887
MI GLADWIN 2.0 2.3 2.3 2.2 10011
MI GOGEBIC 2.8 2.3 3.2 2.1 25916
MI GRAND TRAVER 2.0 2.0 2.3 1.9 30679
MI GRATIOT 2.8 2.6 3.2 2.4 34951
MI HILLSDALE 3.7 2.9 4.3 2.8 33118
MI HOUGHTON 2.5 2.1 2.9 2.0 38019
MI HURON 2.8 2.2 3.2 2.1 33515
MI INGHAM 3.1 3.7 3.7 3.5 189239
MI IONIA 1.7 2.1 2.0 2.0 40274
MI IOSCO 2.3 2.1 2.6 2.0 13291
MI IRON 2.4 2.0 2.7 1.9 17475
MI ISABELLA 2.3 2.3 2.7 2.2 31682
MI JACKSON 2.9 2.8 3.3 2.6 118158
MI KALAMAZOO 3.1 2.6 3.5 2.5 144984
MI KALKASKA 1.6 2.0 1.8 1.9 4503
MI KENT 1.2 5.0 1.5 4.7 320129
MI KEWEENAW 2.2 2.4 2.5 2.3 2703
MI LAKE 2.1 2.1 2.4 2.0 5289
MI LAPEER 2.6 3.0 3.0 2.8 38401
MI LEELANAU 1.8 2.1 2.0 2.0 8935
MI LENAWEE 1.3 3.8 1.6 3.6 70223
MI LIVINGSTON 2.9 3.0 3.4 2.8 31617
MI LUCE 2.3 2.7 2.7 2.6 8014
MI MACKINAC 2.1 2.0 2.4 1.9 9954
MI MACOMB 2.2 2.0 2.6 1.9 278821
MI MANISTEE 2.0 2.1 2.3 2.0 18748
MI MARQUETTE 2.2 2.1 2.5 2.0 51267
MI MASON 2.2 2.0 2.5 1.9 21092
MI MECOSTA 2.2 2.1 2.6 2.0 19853
MI MENOMINEE 2.3 2.2 2.6 2.1 25033
MI MIDLAND 2.2 2.6 2.5 2.4 42370
MI MISSAUKEE 2.1 2.1 2.3 2.0 7176
MI MONROE 1.1 5.2 1.4 4.9 86486
MI MONTCALM 2.1 2.4 2.4 2.3 33042
MI MONTMORENCY 1.5 1.9 1.7 1.8 4253
MI MUSKEGON 2.5 2.2 2.9 2.1 133617
MI NEWAYGO 2.3 2.1 2.6 2.0 22667
MI OAKLAND 2.0 3.7 2.4 3.5 521061
MI OCEANA 2.9 2.0 3.2 1.9 16298
MI OGEMAW 1.8 2.0 2.0 1.9 9488
MI ONTONAGON 2.6 2.3 2.9 2.1 10409
MI OSCEOLA 2.2 2.2 2.5 2.1 13711
MI OSCODA 1.5 1.8 1.8 1.7 3268
MI OTSEGO 1.7 1.9 1.9 1.8 6905
MI OTTAWA 3.0 2.1 3.4 2.0 84363
MI PRESQUE ISLE 1.7 1.9 1.9 1.8 12471
MI ROSCOMMON 2.0 2.2 2.3 2.1 6461
MI SAGINAW 2.4 2.6 2.8 2.5 169341
MI ST CLAIR 2.4 2.0 2.8 1.9 98232
MI ST JOSEPH 2.6 2.0 3.0 1.9 38159
MI SANILAC 2.2 2.8 2.5 2.6 31463
MI SCHOOLCRAFT 2.0 2.4 2.4 2.3 9067
MI SHIAWASSEE 2.7 3.0 3.1 2.9 49143
MI TUSCOLA 2.5 2.5 2.8 2.4 40410
MI VAN BUREN 3.6 2.4 4.2 2.3 43098
MI WASHTENAW 2.2 2.0 2.6 1.9 150689
MI WAYNE 2.1 2.0 2.5 1.9 2533436
MI WEXFORD 1.9 2.1 2.2 2.0 18565
Minnesota
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
-------------------------
MN AITKIN 3.0 2.3 3.4 2.2 13412
MN ANOKA 3.1 2.1 3.6 2.0 56974
MN BECKER 2.2 2.1 2.5 2.0 24468
MN BELTRAMI 2.7 2.0 3.1 1.9 24307
MN BENTON 2.9 1.9 3.3 1.8 16496
MN BIG STONE 3.0 1.9 3.4 1.8 9328
MN BLUE EARTH 4.4 2.8 5.0 2.7 40901
MN BROWN 4.3 2.8 4.9 2.6 26650
MN CARLTON 3.5 2.4 4.0 2.3 26001
MN CARVER 4.3 2.0 4.9 1.9 19514
MN CASS 2.6 2.2 3.0 2.1 18302
MN CHIPPEWA 3.4 2.0 3.8 1.9 16561
MN CHISAGO 3.7 2.3 4.1 2.2 12985
MN CLAY 1.8 1.8 2.1 1.7 34069
MN CLEARWATER 2.3 2.1 2.7 2.0 9634
MN COOK 2.5 2.4 2.9 2.3 3104
MN COTTONWOOD 2.5 4.2 3.0 4.0 15937
MN CROW WING 3.0 2.3 3.4 2.2 31410
MN DAKOTA 5.0 1.9 5.6 1.8 61465
MN DODGE 4.3 3.3 4.9 3.1 12890
MN DOUGLAS 2.5 1.8 2.9 1.8 21308
MN FARIBAULT 5.5 3.4 6.3 3.2 23793
MN FILLMORE 4.2 3.9 4.9 3.7 24170
MN FREEBORN 3.9 2.0 4.4 1.9 35950
MN GOODHUE 4.0 3.3 4.6 3.1 32511
MN GRANT 2.2 1.7 2.6 1.7 9258
MN HENNEPIN 3.5 2.1 3.9 2.0 747246
MN HOUSTON 7.4 2.6 8.4 2.5 15349
MN HUBBARD 2.3 2.2 2.6 2.1 10610
MN ISANTI 3.7 2.1 4.2 2.0 12720
MN ITASCA 2.7 2.3 3.1 2.2 35316
MN JACKSON 2.7 4.6 3.2 4.4 15962
MN KANABEC 3.3 2.1 3.7 2.0 9113
MN KANDIYOHI 3.1 2.0 3.6 1.9 29216
MN KITTSON 2.4 2.1 2.7 2.0 9092
MN KOOCHICHING 3.1 2.1 3.5 2.0 17453
MN LAC QUI PARL 3.5 1.9 3.9 1.8 14030
MN LAKE 2.8 2.4 3.1 2.3 10294
MN LAKE OF THE 2.3 2.0 2.6 1.9 4675
MN LE SUEUR 5.1 2.7 5.8 2.6 19436
MN LINCOLN 2.8 3.7 3.2 3.6 9940
MN LYON 2.7 4.1 3.2 3.9 22426
MN MCLEOD 3.9 2.0 4.4 1.9 23133
MN MAHNOMEN 2.1 1.9 2.4 1.8 6756
MN MARSHALL 2.2 1.9 2.5 1.8 15335
MN MARTIN 3.6 4.1 4.2 3.9 26220
MN MEEKER 3.7 1.9 4.2 1.8 18932
MN MILLE LACS 2.8 2.1 3.2 2.0 14905
MN MORRISON 2.7 2.0 3.1 1.9 26171
MN MOWER 5.7 3.1 6.5 3.0 44920
MN MURRAY 3.3 4.2 3.9 4.0 14778
MN NICOLLET 4.1 2.8 4.7 2.7 21891
MN NOBLES 3.7 4.5 4.3 4.2 22832
MN NORMAN 1.9 1.8 2.2 1.7 12202
MN OLMSTED 4.3 2.7 4.9 2.6 55581
MN OTTER TAIL 2.5 2.0 2.8 1.9 50316
MN PENNINGTON 2.9 1.9 3.3 1.8 12751
MN PINE 3.4 2.3 3.9 2.2 17701
MN PIPESTONE 3.3 4.1 3.9 3.9 13835
MN POLK 2.6 1.9 3.0 1.8 36020
MN POPE 3.1 1.9 3.5 1.8 12462
MN RAMSEY 4.3 2.1 4.8 2.0 383891
MN RED LAKE 2.3 1.8 2.6 1.7 6394
MN REDWOOD 2.8 3.7 3.2 3.6 21956
MN RENVILLE 3.3 2.1 3.7 2.0 23653
MN RICE 4.6 2.8 5.2 2.6 37402
MN ROCK 4.0 4.6 4.7 4.4 11528
MN ROSEAU 2.3 2.1 2.7 2.0 13502
MN ST LOUIS 3.8 2.2 4.3 2.1 216914
MN SCOTT 4.6 1.9 5.2 1.8 18789
MN SHERBURNE 3.1 2.0 3.6 1.9 11597
MN SIBLEY 3.5 3.4 4.0 3.3 15997
MN STEARNS 3.2 1.9 3.7 1.8 74793
MN STEELE 3.7 3.3 4.3 3.1 22803
MN STEVENS 2.6 1.9 3.0 1.8 11172
MN SWIFT 3.4 2.0 3.9 1.9 15455
MN TODD 3.0 2.0 3.4 1.9 24441
MN TRAVERSE 2.4 1.9 2.7 1.8 7820
MN WABASHA 5.4 2.7 6.1 2.6 16936
MN WADENA 2.6 2.2 3.0 2.1 12548
MN WASECA 4.3 2.8 5.0 2.6 15421
MN WASHINGTON 3.6 2.0 4.1 1.9 42149
MN WATONWAN 4.4 3.4 5.0 3.3 14130
MN WILKIN 2.0 1.9 2.3 1.8 10600
MN WINONA 4.0 3.3 4.6 3.1 40310
MN WRIGHT 3.7 1.9 4.2 1.8 28656
MN YELLOW MEDIC 3.1 2.2 3.6 2.1 15962
Mississippi
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
-------------------------
MS ADAMS 1.1 2.5 1.4 2.2 34585
MS ALCORN 1.8 2.4 2.2 2.2 26359
MS AMITE 1.3 2.0 1.6 1.8 17694
MS ATTALA 1.1 1.7 1.4 1.6 24391
MS BENTON 1.9 2.2 2.3 2.0 8340
MS BOLIVAR 1.8 2.1 2.2 1.9 59372
MS CALHOUN 1.6 1.9 1.9 1.8 17334
MS CARROLL 1.4 1.9 1.8 1.7 13662
MS CHICKASAW 2.1 2.3 2.6 2.2 18080
MS CHOCTAW 1.1 1.7 1.4 1.6 9915
MS CLAIBORNE 1.3 2.3 1.6 2.1 11479
MS CLARKE 1.1 2.3 1.4 2.1 18147
MS CLAY 1.2 1.7 1.5 1.6 18259
MS COAHOMA 1.8 1.9 2.3 1.8 48023
MS COPIAH 1.1 2.3 1.4 2.1 29029
MS COVINGTON 0.9 1.8 1.2 1.7 15018
MS DE SOTO 2.1 2.1 2.6 1.9 24299
MS FORREST 1.2 2.4 1.5 2.2 48316
MS FRANKLIN 1.3 2.5 1.7 2.3 10231
MS GEORGE 1.0 2.4 1.3 2.2 10474
MS GREENE 1.0 2.5 1.2 2.3 8280
MS GRENADA 1.9 2.2 2.3 2.1 18651
MS HANCOCK 1.1 2.3 1.4 2.1 12806
MS HARRISON 1.0 2.3 1.3 2.1 99127
MS HINDS 1.5 2.1 1.9 1.9 161236
MS HOLMES 1.0 1.7 1.2 1.6 30665
MS HUMPHREYS 1.3 1.9 1.6 1.8 21407
MS ISSAQUENA 1.1 2.1 1.4 1.9 4374
MS ITAWAMBA 1.3 1.8 1.6 1.6 16315
MS JACKSON 1.0 2.4 1.3 2.2 41653
MS JASPER 1.1 1.9 1.3 1.8 18060
MS JEFFERSON 1.3 2.3 1.6 2.1 10811
MS JEFFERSON DA 0.8 1.8 1.1 1.6 14668
MS JONES 0.8 1.8 1.1 1.6 58217
MS KEMPER 1.0 1.9 1.2 1.7 14356
MS LAFAYETTE 1.7 2.4 2.1 2.2 22187
MS LAMAR 1.1 2.3 1.4 2.1 13419
MS LAUDERDALE 1.1 2.3 1.4 2.1 65426
MS LAWRENCE 0.9 1.8 1.2 1.6 11612
MS LEAKE 1.2 1.7 1.5 1.6 20357
MS LEE 1.7 2.0 2.1 1.8 39235
MS LEFLORE 1.3 1.9 1.6 1.7 49829
MS LINCOLN 1.2 2.0 1.5 1.8 27418
MS LOWNDES 0.9 1.7 1.2 1.6 41589
MS MADISON 1.1 1.9 1.3 1.8 33450
MS MARION 1.2 2.2 1.5 2.0 23684
MS MARSHALL 2.1 2.3 2.6 2.2 24850
MS MONROE 1.3 1.8 1.6 1.6 35444
MS MONTGOMERY 1.4 1.9 1.7 1.8 13985
MS NESHOBA 1.1 1.7 1.4 1.6 23690
MS NEWTON 1.2 1.9 1.5 1.8 21340
MS NOXUBEE 1.0 1.7 1.3 1.6 18669
MS OKTIBBEHA 1.1 1.9 1.3 1.8 25252
MS PANOLA 2.3 2.3 2.8 2.2 30216
MS PEARL RIVER 1.3 2.3 1.6 2.1 21393
MS PERRY 1.0 2.2 1.3 2.0 8952
MS PIKE 1.1 2.3 1.4 2.1 35101
MS PONTOTOC 2.2 2.5 2.6 2.3 18821
MS PRENTISS 1.7 2.4 2.1 2.2 19023
MS QUITMAN 2.1 2.3 2.6 2.1 23820
MS RANKIN 1.0 1.7 1.3 1.6 31194
MS SCOTT 1.1 1.9 1.4 1.8 21470
MS SHARKEY 1.2 2.0 1.5 1.8 11984
MS SIMPSON 0.9 1.7 1.2 1.6 21238
MS SMITH 1.0 1.9 1.2 1.7 15702
MS STONE 1.1 2.5 1.4 2.2 6579
MS SUNFLOWER 1.2 1.9 1.5 1.8 51657
MS TALLAHATCHIE 2.2 2.2 2.7 2.1 27767
MS TATE 2.2 2.5 2.7 2.3 18067
MS TIPPAH 2.1 2.3 2.6 2.2 16492
MS TISHOMINGO 1.6 2.3 2.0 2.1 14844
MS TUNICA 1.8 2.3 2.2 2.1 19613
MS UNION 1.9 2.6 2.3 2.4 19686
MS WALTHALL 1.2 2.2 1.5 2.0 14691
MS WARREN 1.2 2.3 1.6 2.1 40716
MS WASHINGTON 1.2 1.9 1.5 1.8 73964
MS WAYNE 1.0 2.3 1.2 2.1 16693
MS WEBSTER 1.2 1.7 1.5 1.6 11174
MS WILKINSON 1.2 2.3 1.5 2.1 13740
MS WINSTON 1.1 1.7 1.3 1.6 20966
MS YALOBUSHA 2.3 2.4 2.9 2.2 14045
MS YAZOO 1.3 1.8 1.7 1.7 33987
Missouri
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
-------------------------
MO ADAIR 6.6 2.4 7.8 2.3 19863
MO ANDREW 4.0 1.7 4.7 1.6 11442
MO ATCHISON 2.3 3.9 2.8 3.7 10311
MO AUDRAIN 5.6 3.1 6.7 2.9 24790
MO BARRY 4.8 1.8 5.7 1.7 20550
MO BARTON 4.7 2.0 5.5 1.9 12014
MO BATES 4.2 1.8 5.0 1.7 16842
MO BENTON 4.9 2.1 5.7 2.0 8934
MO BOLLINGER 2.9 1.8 3.4 1.7 10236
MO BOONE 4.8 1.9 5.7 1.8 51310
MO BUCHANAN 4.1 1.9 4.8 1.8 94171
MO BUTLER 3.3 1.9 4.0 1.8 36411
MO CALDWELL 4.0 2.3 4.7 2.1 9465
MO CALLAWAY 4.9 2.0 5.8 1.9 23548
MO CAMDEN 5.4 2.0 6.3 1.9 8391
MO CAPE GIRARDE 3.4 1.9 4.1 1.7 39938
MO CARROLL 3.5 2.2 4.2 2.1 14852
MO CARTER 4.3 2.0 5.1 1.9 4435
MO CASS 4.6 1.9 5.4 1.8 23733
MO CEDAR 5.5 2.0 6.5 1.9 10035
MO CHARITON 4.1 2.2 4.8 2.1 14004
MO CHRISTIAN 4.3 1.9 5.0 1.8 12392
MO CLARK 7.2 2.4 8.4 2.3 8886
MO CLAY 3.7 1.8 4.4 1.7 63182
MO CLINTON 3.7 2.4 4.4 2.2 11672
MO COLE 4.9 2.0 5.8 1.9 37715
MO COOPER 4.8 2.1 5.7 1.9 16119
MO CRAWFORD 4.1 1.9 4.9 1.7 12052
MO DADE 4.0 2.0 4.7 1.9 8582
MO DALLAS 4.4 2.2 5.2 2.0 9935
MO DAVIESS 3.3 3.1 3.9 2.9 10469
MO DE KALB 4.9 2.1 5.7 2.0 7702
MO DENT 4.1 2.1 4.8 1.9 10729
MO DOUGLAS 4.5 2.1 5.3 2.0 11368
MO DUNKLIN 3.1 2.0 3.8 1.9 42699
MO FRANKLIN 4.9 2.6 5.8 2.4 39666
MO GASCONADE 3.7 1.9 4.4 1.8 12281
MO GENTRY 4.3 1.9 5.1 1.8 10080
MO GREENE 4.5 2.1 5.3 2.0 113942
MO GRUNDY 4.0 2.6 4.8 2.4 12799
MO HARRISON 3.9 2.7 4.6 2.5 13044
MO HENRY 4.9 2.0 5.7 1.9 19693
MO HICKORY 3.9 1.9 4.6 1.8 5018
MO HOLT 3.6 1.8 4.3 1.7 9008
MO HOWARD 4.5 1.8 5.3 1.7 11436
MO HOWELL 4.7 2.1 5.5 2.0 22431
MO IRON 4.0 1.8 4.7 1.7 8856
MO JACKSON 3.0 1.8 3.7 1.7 575755
MO JASPER 5.3 2.2 6.3 2.0 79002
MO JEFFERSON 3.6 2.6 4.4 2.4 50062
MO JOHNSON 4.2 1.9 5.0 1.8 24229
MO KNOX 7.0 2.7 8.3 2.6 7171
MO LACLEDE 4.5 2.1 5.3 2.0 19003
MO LAFAYETTE 5.4 1.9 6.4 1.8 25276
MO LAWRENCE 5.5 2.1 6.4 1.9 23354
MO LEWIS 6.9 2.8 8.1 2.6 10838
MO LINCOLN 4.8 2.7 5.6 2.6 14037
MO LINN 5.2 3.1 6.1 2.9 17999
MO LIVINGSTON 4.7 2.1 5.5 2.0 16206
MO MCDONALD 4.5 2.0 5.3 1.9 13145
MO MACON 5.8 2.7 6.8 2.6 17540
MO MADISON 3.0 1.8 3.5 1.7 9948
MO MARIES 4.7 1.8 5.5 1.7 7363
MO MARION 6.3 2.7 7.5 2.5 29663
MO MERCER 4.5 1.9 5.3 1.8 6605
MO MILLER 5.3 2.1 6.3 1.9 13763
MO MISSISSIPPI 3.0 2.1 3.6 1.9 21765
MO MONITEAU 4.9 1.9 5.8 1.8 10697
MO MONROE 5.4 2.2 6.3 2.1 11046
MO MONTGOMERY 3.9 1.8 4.7 1.7 11365
MO MORGAN 5.8 1.9 6.8 1.8 9895
MO NEW MADRID 3.3 1.9 4.0 1.8 36006
MO NEWTON 4.9 1.9 5.8 1.8 29033
MO NODAWAY 4.9 2.1 5.7 2.0 23265
MO OREGON 4.3 1.9 5.2 1.8 11075
MO OSAGE 5.2 2.0 6.1 1.9 11120
MO OZARK 4.2 2.0 4.9 1.9 7959
MO PEMISCOT 2.9 1.9 3.5 1.7 42425
MO PERRY 2.7 2.1 3.2 1.9 14791
MO PETTIS 5.1 1.9 6.1 1.8 33081
MO PHELPS 4.1 2.1 4.9 2.0 23162
MO PIKE 5.6 2.7 6.6 2.6 16786
MO PLATTE 3.9 1.9 4.6 1.8 18533
MO POLK 5.0 2.0 5.9 1.9 15083
MO PULASKI 4.8 2.1 5.7 1.9 25766
MO PUTNAM 6.1 2.8 7.2 2.6 8249
MO RALLS 6.3 2.9 7.5 2.7 8429
MO RANDOLPH 4.1 2.2 4.8 2.1 22538
MO RAY 5.3 1.9 6.2 1.8 15993
MO REYNOLDS 4.0 2.0 4.7 1.9 6169
MO RIPLEY 3.5 2.0 4.1 1.9 10428
MO ST CHARLES 3.7 1.9 4.5 1.8 39668
MO ST CLAIR 3.6 1.8 4.3 1.7 9611
MO ST FRANCOIS 3.7 1.9 4.4 1.8 35800
MO ST LOUIS 3.6 1.9 4.3 1.7 1343947
MO STE GENEVIEV 2.9 1.9 3.5 1.8 11614
MO SALINE 4.2 1.8 5.0 1.7 26040
MO SCHUYLER 5.4 2.8 6.4 2.6 5459
MO SCOTLAND 5.9 2.8 6.9 2.6 6972
MO SCOTT 2.7 1.9 3.3 1.8 32801
MO SHANNON 4.2 2.1 5.0 1.9 7829
MO SHELBY 7.0 2.5 8.2 2.4 9448
MO STODDARD 3.2 1.9 3.9 1.8 31776
MO STONE 3.3 1.8 3.9 1.7 9081
MO SULLIVAN 5.4 2.8 6.4 2.6 10232
MO TANEY 3.1 1.9 3.7 1.7 10024
MO TEXAS 4.9 2.1 5.9 1.9 18468
MO VERNON 4.2 2.0 4.9 1.9 21779
MO WARREN 3.6 1.8 4.3 1.7 8127
MO WASHINGTON 3.8 1.8 4.6 1.7 14543
MO WAYNE 4.0 2.2 4.8 2.0 9717
MO WEBSTER 4.2 2.1 5.0 1.9 14514
MO WORTH 6.2 2.7 7.3 2.6 4616
MO WRIGHT 5.1 2.1 6.0 1.9 15132
Montana
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
-------------------------
MT BEAVERHEAD 10.1 3.3 11.4 3.1 6891
MT BIG HORN 6.4 2.2 7.1 2.1 9904
MT BLAINE 8.2 2.3 9.1 2.2 8334
MT BROADWATER 10.3 3.1 11.5 3.0 2875
MT CARBON 6.0 2.5 6.7 2.4 9421
MT CARTER 6.8 2.1 7.6 2.1 2671
MT CASCADE 7.9 2.3 8.8 2.2 61695
MT CHOUTEAU 8.1 3.1 9.0 3.0 7135
MT CUSTER 6.5 2.1 7.3 2.1 12899
MT DANIELS 5.6 1.9 6.3 1.9 3862
MT DAWSON 6.7 2.1 7.5 2.0 10460
MT DEER LODGE 7.9 3.4 9.0 3.2 17438
MT FALLON 6.9 2.2 7.8 2.1 3803
MT FERGUS 9.0 2.3 10.1 2.2 14018
MT FLATHEAD 6.2 3.1 6.9 2.9 32123
MT GALLATIN 8.7 2.9 9.8 2.7 23661
MT GARFIELD 7.8 2.0 8.7 2.0 2091
MT GLACIER 6.0 2.0 6.7 2.0 10462
MT GOLDEN VALLE 6.3 2.0 7.0 2.0 1282
MT GRANITE 5.7 2.5 6.4 2.4 2877
MT HILL 6.5 3.1 7.3 2.9 16144
MT JEFFERSON 10.0 3.2 11.3 3.1 4133
MT JUDITH BASIN 9.8 2.8 10.9 2.7 3148
MT LAKE 6.7 2.4 7.4 2.3 13525
MT LEWIS AND CL 8.3 2.7 9.2 2.6 26013
MT LIBERTY 6.1 2.4 6.8 2.3 2373
MT LINCOLN 3.9 2.8 4.3 2.7 10327
MT MCCONE 6.9 2.0 7.8 1.9 3282
MT MADISON 9.6 3.1 10.7 2.9 5666
MT MEAGHER 14.1 3.0 15.8 2.9 2300
MT MINERAL 5.4 3.4 6.1 3.3 2486
MT MISSOULA 6.1 3.5 7.0 3.4 39388
MT MUSSELSHELL 6.1 2.2 6.8 2.1 5188
MT PARK 7.9 2.6 8.8 2.5 12550
MT PETROLEUM 8.3 2.0 9.3 2.0 970
MT PHILLIPS 7.4 2.0 8.3 1.9 6200
MT PONDERA 6.0 2.1 6.7 2.1 6930
MT POWDER RIVER 6.2 2.1 6.9 2.0 2598
MT POWELL 9.9 3.4 11.1 3.3 6597
MT PRAIRIE 5.7 2.1 6.5 2.1 2347
MT RAVALLI 4.4 2.6 4.9 2.5 12779
MT RICHLAND 6.2 2.1 7.0 2.0 10426
MT ROOSEVELT 6.3 1.9 7.2 1.9 10497
MT ROSEBUD 6.8 1.9 7.6 1.9 6404
MT SANDERS 4.1 3.2 4.6 3.1 6942
MT SHERIDAN 6.2 2.0 7.0 1.9 6585
MT SILVER BOW 8.0 3.5 9.1 3.4 47589
MT STILLWATER 5.2 2.6 5.8 2.5 5466
MT SWEET GRASS 6.2 2.3 7.0 2.2 3478
MT TETON 6.9 2.6 7.7 2.5 7260
MT TOOLE 6.7 2.4 7.4 2.3 7310
MT TREASURE 5.3 1.9 6.0 1.9 1379
MT VALLEY 5.8 1.9 6.5 1.9 13790
MT WHEATLAND 8.0 2.5 9.0 2.4 3119
MT WIBAUX 6.3 2.0 7.1 2.0 1820
MT YELLOWSTONE 3.0 2.9 3.4 2.7 65710
Nebraska
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
-------------------------
NE ADAMS 4.2 2.8 4.9 2.7 28895
NE ANTELOPE 4.3 3.9 5.1 3.7 11012
NE ARTHUR 5.3 2.2 6.1 2.1 751
NE BANNER 3.1 3.1 3.6 2.9 1304
NE BLAINE 5.2 2.1 6.1 2.0 1123
NE BOONE 5.4 1.9 6.2 1.8 10045
NE BOX BUTTE 4.3 1.8 5.0 1.7 12026
NE BOYD 5.4 2.3 6.2 2.2 4739
NE BROWN 5.4 2.0 6.2 1.9 4855
NE BUFFALO 3.9 3.3 4.6 3.2 25600
NE BURT 5.0 1.8 5.8 1.7 10964
NE BUTLER 3.8 3.7 4.4 3.5 10958
NE CASS 3.0 3.8 3.5 3.6 16983
NE CEDAR 6.4 2.8 7.3 2.6 13641
NE CHASE 4.9 2.3 5.8 2.2 4812
NE CHERRY 7.2 2.5 8.4 2.4 8320
NE CHEYENNE 5.6 2.2 6.5 2.1 13248
NE CLAY 3.0 3.9 3.5 3.7 8706
NE COLFAX 2.0 5.2 2.5 4.9 9832
NE CUMING 5.2 3.9 6.0 3.7 12757
NE CUSTER 3.0 4.3 3.6 4.0 18048
NE DAKOTA 3.8 3.9 4.6 3.6 11152
NE DAWES 4.2 1.8 4.9 1.7 9636
NE DAWSON 5.9 2.0 6.9 1.9 19402
NE DEUEL 4.3 2.4 5.0 2.2 3246
NE DIXON 5.2 4.0 6.1 3.7 8695
NE DODGE 4.9 1.9 5.6 1.8 28907
NE DOUGLAS 2.7 3.9 3.3 3.6 307573
NE DUNDY 5.0 2.2 5.8 2.1 4021
NE FILLMORE 3.6 3.0 4.2 2.9 9532
NE FRANKLIN 4.9 2.0 5.8 1.9 6400
NE FRONTIER 5.9 2.2 6.8 2.1 4871
NE FURNAS 5.4 2.2 6.4 2.1 8673
NE GAGE 3.7 2.9 4.4 2.7 27529
NE GARDEN 5.3 2.2 6.1 2.1 3840
NE GARFIELD 3.8 4.1 4.6 3.9 2826
NE GOSPER 5.5 2.0 6.4 1.9 2631
NE GRANT 4.7 1.9 5.4 1.8 1037
NE GREELEY 2.0 5.2 2.5 4.9 5163
NE HALL 5.1 2.1 5.9 2.0 33708
NE HAMILTON 3.7 2.9 4.4 2.7 8749
NE HARLAN 5.3 2.0 6.1 1.9 6294
NE HAYES 4.6 2.1 5.4 2.0 2195
NE HITCHCOCK 4.7 1.9 5.5 1.8 5423
NE HOLT 3.4 5.0 4.2 4.7 14374
NE HOOKER 5.4 2.0 6.2 1.9 1090
NE HOWARD 4.5 3.6 5.3 3.4 6936
NE JEFFERSON 4.6 2.2 5.3 2.1 12774
NE JOHNSON 3.3 3.0 3.8 2.9 6836
NE KEARNEY 4.6 2.0 5.4 1.9 6483
NE KEITH 4.7 2.5 5.5 2.3 7670
NE KEYA PAHA 4.7 2.1 5.4 2.0 1952
NE KIMBALL 3.5 2.5 4.1 2.3 5848
NE KNOX 5.6 1.9 6.4 1.8 14172
NE LANCASTER 3.6 3.1 4.2 2.9 134839
NE LINCOLN 6.4 2.1 7.5 2.0 27852
NE LOGAN 5.6 2.2 6.6 2.1 1253
NE LOUP 3.8 4.1 4.5 3.9 1242
NE MCPHERSON 3.8 2.3 4.5 2.2 790
NE MADISON 4.3 3.9 5.2 3.6 24681
NE MERRICK 4.2 3.5 5.0 3.3 8622
NE MORRILL 5.0 1.9 5.8 1.8 7751
NE NANCE 5.2 3.3 6.0 3.1 6141
NE NEMAHA 3.0 3.0 3.6 2.9 10178
NE NUCKOLLS 5.1 2.3 6.0 2.2 9023
NE OTOE 3.0 3.0 3.6 2.9 16823
NE PAWNEE 4.2 1.8 4.9 1.7 6154
NE PERKINS 4.3 2.4 5.1 2.2 4547
NE PHELPS 5.6 2.3 6.5 2.2 9367
NE PIERCE 5.6 1.9 6.4 1.8 9117
NE PLATTE 3.7 3.6 4.4 3.4 21643
NE POLK 4.2 3.5 5.0 3.3 7693
NE RED WILLOW 4.5 2.0 5.3 1.9 12962
NE RICHARDSON 4.1 1.9 4.8 1.8 15620
NE ROCK 4.0 1.9 4.6 1.8 2824
NE SALINE 4.6 2.8 5.4 2.6 13405
NE SARPY 4.7 1.9 5.4 1.8 22318
NE SAUNDERS 3.0 3.9 3.5 3.7 17070
NE SCOTTS BLUFF 3.8 1.7 4.4 1.6 33886
NE SEWARD 4.4 2.8 5.2 2.7 13339
NE SHERIDAN 5.0 1.9 5.7 1.8 9327
NE SHERMAN 3.8 3.7 4.5 3.5 5981
NE SIOUX 7.0 2.5 8.0 2.4 2888
NE STANTON 3.9 4.4 4.6 4.1 6133
NE THAYER 4.7 2.3 5.5 2.2 9951
NE THOMAS 5.2 1.9 6.0 1.8 1155
NE THURSTON 4.4 4.1 5.2 3.9 8017
NE VALLEY 4.0 3.6 4.7 3.4 6973
NE WASHINGTON 2.5 4.3 3.0 4.0 11762
NE WAYNE 4.1 4.0 4.8 3.8 10059
NE WEBSTER 5.0 2.2 5.8 2.1 6899
NE WHEELER 5.6 2.0 6.4 1.9 1428
NE YORK 4.4 2.8 5.2 2.7 14084
Nevada
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
-------------------------
NV CHURCHILL 0.9 2.1 1.3 1.9 7135
NV CLARK1 1.8 2.6 3.0 2.3 2593
NV CLARK2 0.6 2.0 0.8 2.0 74220
NV CLARK3 2.0 1.8 2.0 1.8 4933
NV DOUGLAS 0.7 2.2 1.0 2.0 2647
NV ELKO 1.2 1.9 1.7 1.7 11811
NV ESMERALDA1 0.4 2.6 0.5 2.3 267
NV ESMERALDA2 0.6 2.4 0.9 2.2 347
NV EUREKA 1.5 2.0 2.1 1.8 840
NV HUMBOLDT 1.0 2.1 1.3 1.9 5209
NV LANDER1 0.7 2.2 0.9 2.0 406
NV LANDER2 1.0 2.1 1.4 1.9 1325
NV LINCOLN1 3.7 2.0 5.0 1.8 2887
NV LINCOLN2 1.9 2.0 2.7 1.8 355
NV LYON 0.7 2.1 1.0 1.9 4728
NV MINERAL 0.9 2.2 1.2 2.0 5885
NV NYE1 0.6 2.8 0.9 2.5 816
NV NYE2 3.3 1.9 5.0 1.7 2065
NV NYE3 0.1 2.1 0.1 1.9 760
NV PERSHING 0.6 2.0 0.9 1.8 3141
NV STOREY 0.7 2.1 1.0 1.9 626
NV WASHOE 0.8 2.1 1.1 1.9 64879
NV WHITE PINE1 1.9 1.9 2.6 1.7 8936
NV WHITE PINE2 2.4 1.9 3.4 1.7 296
NV WHITE PINE3 2.1 2.0 3.0 1.8 358
NV CARSON CITY 0.8 2.3 1.0 2.0 5824
New Hampshire
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
-------------------------
NH BELKNAP 2.6 2.1 3.0 2.0 27605
NH CARROLL 2.2 2.3 2.5 2.2 15849
NH CHESHIRE 2.9 2.0 3.4 1.9 40739
NH COOS 2.9 2.2 3.3 2.1 36442
NH GRAFTON 2.9 2.2 3.3 2.1 48321
NH HILLSBOROUGH 2.8 2.1 3.2 2.0 165985
NH MERRIMACK 2.4 2.4 2.8 2.2 65046
NH ROCKINGHAM 2.3 2.1 2.7 2.0 82375
NH STRAFFORD 1.8 2.0 2.1 1.9 55068
NH SULLIVAN 2.4 2.4 2.8 2.3 27132
New Jersey
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
-------------------------
NJ ATLANTIC 1.4 2.1 1.7 1.9 144503
NJ BERGEN 1.7 1.8 2.0 1.7 641614
NJ BURLINGTON 1.1 3.5 1.4 3.3 173558
NJ CAMDEN 1.3 2.0 1.6 1.8 339544
NJ CAPE MAY 1.6 2.0 1.9 1.9 41983
NJ CUMBERLAND 1.5 1.9 1.9 1.8 96357
NJ ESSEX 1.8 1.9 2.2 1.7 913427
NJ GLOUCESTER 1.4 2.0 1.8 1.8 110048
NJ HUDSON 1.7 1.9 2.0 1.7 631840
NJ HUNTERDON 1.4 2.0 1.7 1.8 47570
NJ MERCER 1.5 2.0 1.8 1.8 245338
NJ MIDDLESEX 1.6 1.9 1.9 1.7 336692
NJ MONMOUTH 1.5 2.3 1.9 2.2 271681
NJ MORRIS 1.5 1.7 1.9 1.6 205703
NJ OCEAN 1.7 2.4 2.0 2.2 78560
NJ PASSAIC 1.7 1.9 2.1 1.7 366643
NJ SALEM 1.4 2.0 1.7 1.8 53419
NJ SOMERSET 1.5 1.9 1.9 1.7 118117
NJ SUSSEX 1.6 1.9 1.9 1.7 40724
NJ UNION 1.7 1.9 2.1 1.7 443241
NJ WARREN 1.4 1.9 1.8 1.8 58136
New Mexico
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
-------------------------
NM BERNALILLO 1.7 1.8 2.3 1.7 195195
NM CATRON 0.7 1.8 0.9 1.6 3212
NM CHAVES 1.2 2.1 1.7 1.9 47845
NM COLFAX 1.3 1.8 1.7 1.6 15503
NM CURRY 1.1 1.9 1.5 1.7 27320
NM DE BACA 1.2 1.9 1.6 1.8 3264
NM DONA ANA 0.3 1.8 0.4 1.7 48225
NM EDDY 0.6 1.8 0.8 1.7 44953
NM GRANT 0.3 1.8 0.4 1.6 20394
NM GUADALUPE 1.4 1.9 1.8 1.7 6277
NM HARDING 1.3 1.7 1.7 1.6 2531
NM HIDALGO 0.3 1.8 0.3 1.7 5038
NM LEA 0.5 1.8 0.7 1.7 40370
NM LINCOLN 1.3 2.1 1.7 1.9 7552
NM LOS ALAMOS 2.5 1.8 3.0 1.7 11565
NM LUNA 0.3 1.8 0.4 1.7 9212
NM MCKINLEY 2.3 1.9 3.1 1.7 31598
NM MORA 1.3 1.7 1.7 1.6 7579
NM OTERO 0.3 1.8 0.5 1.6 24288
NM QUAY 1.3 1.8 1.8 1.7 13251
NM RIO ARRIBA 1.1 1.9 1.5 1.7 24658
NM ROOSEVELT 1.1 2.0 1.5 1.8 16319
NM SANDOVAL 2.0 1.9 2.7 1.7 13190
NM SAN JUAN 1.2 1.9 1.7 1.7 33173
NM SAN MIGUEL 1.3 1.8 1.8 1.6 25222
NM SANTA FE 1.7 1.9 2.3 1.7 41052
NM SIERRA 0.4 1.8 0.6 1.6 6854
NM SOCORRO 0.8 1.8 1.1 1.6 9884
NM TAOS 1.0 1.8 1.4 1.6 16634
NM TORRANCE 1.8 1.9 2.5 1.7 7367
NM UNION 1.3 1.8 1.8 1.6 6819
NM VALENCIA 1.7 1.8 2.3 1.7 29536
New York
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
-------------------------
NY ALBANY 2.9 2.3 3.5 2.1 253645
NY ALLEGANY 2.3 2.1 2.8 2.0 43864
NY BRONX 2.0 2.0 2.4 1.9 1440030
NY BROOME 1.2 2.1 1.5 2.0 196583
NY CATTARAUGUS 2.5 2.0 2.9 1.9 78878
NY CAYUGA 1.7 1.9 2.0 1.8 71753
NY CHAUTAUQUA 2.5 2.0 2.9 1.9 139521
NY CHEMUNG 1.4 2.1 1.6 2.0 91873
NY CHENANGO 1.6 2.1 1.9 2.0 40882
NY CLINTON 3.3 2.5 3.8 2.4 61742
NY COLUMBIA 3.2 2.3 3.7 2.1 44941
NY CORTLAND 1.8 2.1 2.1 2.0 38839
NY DELAWARE 2.1 2.0 2.5 1.9 44048
NY DUTCHESS 2.5 2.0 2.9 1.9 153453
NY ERIE 2.5 2.0 3.0 1.8 969556
NY ESSEX 3.6 2.3 4.2 2.1 35172
NY FRANKLIN 2.8 2.4 3.2 2.3 44792
NY FULTON 2.9 2.7 3.4 2.5 51140
NY GENESEE 2.7 2.0 3.2 1.9 50312
NY GREENE 2.8 2.1 3.2 2.0 29865
NY HAMILTON 2.9 2.3 3.4 2.1 4172
NY HERKIMER 2.9 2.2 3.4 2.1 63523
NY JEFFERSON 2.8 1.9 3.3 1.8 86505
NY KINGS 2.0 2.0 2.4 1.9 2691063
NY LEWIS 2.5 2.0 2.9 1.9 22830
NY LIVINGSTON 2.6 2.1 3.1 2.0 41872
NY MADISON 2.2 2.1 2.6 2.0 49795
NY MONROE 1.5 1.9 1.7 1.8 529604
NY MONTGOMERY 2.1 2.3 2.5 2.2 58598
NY NASSAU 2.5 1.8 3.0 1.7 939411
NY NEW YORK 2.0 2.0 2.3 1.9 1848830
NY NIAGARA 2.4 1.9 2.8 1.8 212214
NY ONEIDA 2.1 1.9 2.5 1.8 240513
NY ONONDAGA 1.5 1.8 1.8 1.7 376277
NY ONTARIO 2.8 2.1 3.3 2.0 63531
NY ORANGE 2.1 2.0 2.4 1.9 165637
NY ORLEANS 1.7 1.9 2.0 1.8 31671
NY OSWEGO 2.4 1.9 2.8 1.8 80974
NY OTSEGO 2.1 2.0 2.5 1.9 51263
NY PUTNAM 2.1 1.9 2.4 1.8 25163
NY QUEENS 1.8 1.9 2.2 1.8 1660811
NY RENSSELAER 3.2 2.7 3.8 2.5 136849
NY RICHMOND 2.1 1.9 2.4 1.8 204492
NY ROCKLAND 1.9 2.1 2.2 2.0 109476
NY ST LAWRENCE 3.8 3.5 4.4 3.3 104146
NY SARATOGA 3.0 2.8 3.5 2.6 80914
NY SCHENECTADY 2.4 2.6 2.8 2.5 146919
NY SCHOHARIE 2.7 2.0 3.2 1.9 22663
NY SCHUYLER 1.5 2.1 1.8 2.0 14546
NY SENECA 2.2 2.3 2.6 2.1 30411
NY STEUBEN 2.2 2.1 2.6 2.0 94099
NY SUFFOLK 2.7 2.0 3.2 1.9 442158
NY SULLIVAN 2.1 2.0 2.5 1.9 42658
NY TIOGA 1.4 2.0 1.7 1.9 33413
NY TOMPKINS 1.6 2.1 1.9 2.0 62119
NY ULSTER 2.5 2.0 2.9 1.9 103752
NY WARREN 2.7 3.0 3.3 2.8 41242
NY WASHINGTON 3.3 3.0 3.9 2.8 47709
NY WAYNE 2.8 2.1 3.3 2.0 61856
NY WESTCHESTER 2.5 1.8 3.0 1.7 703626
NY WYOMING 2.8 2.1 3.4 2.0 33657
NY YATES 1.6 2.3 1.9 2.1 18037
North Carolina
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.
NC ALAMANCE 1.1 1.8 1.4 1.7 77369
NC ALEXANDER 1.6 1.8 2.1 1.7 15010
NC ALLEGHANY 1.2 2.0 1.5 1.9 7979
NC ANSON 1.0 1.7 1.3 1.6 26010
NC ASHE 1.8 2.0 2.3 1.9 20977
NC AVERY 1.7 1.7 2.2 1.6 12783
NC BEAUFORT 1.3 2.9 1.6 2.6 36657
NC BERTIE 1.2 1.8 1.5 1.7 25557
NC BLADEN 1.1 1.9 1.4 1.8 29349
NC BRUNSWICK 1.1 1.8 1.3 1.7 19684
NC BUNCOMBE 1.7 1.7 2.1 1.6 126811
NC BURKE 1.7 1.8 2.1 1.7 48576
NC CABARRUS 1.0 1.7 1.3 1.6 65635
NC CALDWELL 1.5 1.7 1.9 1.6 45992
NC CAMDEN 1.1 3.4 1.5 3.1 5384
NC CARTERET 1.2 1.8 1.6 1.7 26404
NC CASWELL 1.0 1.8 1.3 1.7 20460
NC CATAWBA 1.4 1.8 1.8 1.7 66636
NC CHATHAM 1.2 2.3 1.5 2.1 25982
NC CHEROKEE 1.7 1.8 2.1 1.7 17461
NC CHOWAN 0.9 3.7 1.2 3.4 12197
NC CLAY 1.5 1.8 1.9 1.7 5802
NC CLEVELAND 1.5 1.8 1.9 1.7 65075
NC COLUMBUS 1.2 1.8 1.5 1.7 49922
NC CRAVEN 1.1 2.0 1.4 1.8 53051
NC CUMBERLAND 1.1 1.9 1.4 1.8 118286
NC CURRITUCK 1.2 3.3 1.5 3.0 6367
NC DARE 1.2 1.7 1.5 1.6 5631
NC DAVIDSON 1.2 1.7 1.5 1.6 69576
NC DAVIE 1.0 1.9 1.3 1.7 15977
NC DUPLIN 1.1 1.8 1.3 1.7 40732
NC DURHAM 0.6 4.0 0.7 3.7 106041
NC EDGECOMBE 1.1 1.8 1.3 1.7 52739
NC FORSYTH 1.1 1.7 1.4 1.6 164530
NC FRANKLIN 0.9 1.7 1.1 1.6 30242
NC GASTON 1.2 2.1 1.5 1.9 117736
NC GATES 1.2 1.8 1.5 1.7 9423
NC GRAHAM 1.4 1.7 1.8 1.6 6695
NC GRANVILLE 0.8 3.3 1.1 3.0 32355
NC GREENE 1.1 1.8 1.4 1.7 17475
NC GUILFORD 1.2 1.9 1.5 1.8 214630
NC HALIFAX 1.1 1.8 1.4 1.7 58623
NC HARNETT 1.0 1.9 1.2 1.8 47871
NC HAYWOOD 1.9 1.9 2.3 1.7 38518
NC HENDERSON 1.7 1.7 2.2 1.6 33149
NC HERTFORD 1.2 1.8 1.5 1.7 21988
NC HOKE 1.0 1.9 1.3 1.8 16015
NC HYDE 1.3 2.0 1.7 1.8 6180
NC IREDELL 1.4 1.8 1.8 1.7 58947
NC JACKSON 2.0 1.9 2.5 1.7 18637
NC JOHNSTON 1.0 1.9 1.2 1.7 64643
NC JONES 1.1 2.6 1.4 2.4 11008
NC LEE 1.1 1.8 1.3 1.7 24819
NC LENOIR 1.1 1.9 1.4 1.7 49915
NC LINCOLN 1.1 1.9 1.4 1.8 28039
NC MCDOWELL 1.6 1.7 2.0 1.6 26156
NC MACON 1.9 1.8 2.4 1.7 15646
NC MADISON 1.4 1.7 1.8 1.6 19116
NC MARTIN 0.9 3.2 1.1 3.0 27599
NC MECKLENBURG 1.0 1.9 1.3 1.7 228952
NC MITCHELL 1.7 1.7 2.2 1.6 14615
NC MONTGOMERY 1.2 1.7 1.6 1.6 17749
NC MOORE 1.1 1.8 1.5 1.7 34663
NC NASH 1.2 1.8 1.5 1.7 60382
NC NEW HANOVER 1.3 2.1 1.6 2.0 66873
NC NORTHAMPTON 1.0 3.2 1.3 2.9 27743
NC ONSLOW 1.3 2.0 1.6 1.9 59332
NC ORANGE 0.8 2.4 1.0 2.2 38060
NC PAMLICO 1.5 2.0 1.9 1.9 9933
NC PASQUOTANK 1.1 3.4 1.5 3.1 24894
NC PENDER 1.2 1.7 1.5 1.6 18460
NC PERQUIMANS 1.2 3.3 1.5 3.0 9420
NC PERSON 0.4 5.2 0.6 4.7 25231
NC PITT 1.2 1.8 1.5 1.7 66405
NC POLK 1.3 1.7 1.7 1.6 11531
NC RANDOLPH 1.4 1.9 1.8 1.7 55349
NC RICHMOND 1.1 1.8 1.3 1.7 39428
NC ROBESON 1.3 1.7 1.7 1.6 88337
NC ROCKINGHAM 1.0 1.7 1.2 1.6 66867
NC ROWAN 1.2 1.7 1.5 1.6 78560
NC RUTHERFORD 1.3 1.9 1.7 1.7 45816
NC SAMPSON 1.2 1.8 1.6 1.7 49029
NC SCOTLAND 1.1 1.7 1.4 1.6 25848
NC STANLY 1.1 1.9 1.4 1.7 38717
NC STOKES 1.1 1.9 1.4 1.7 21861
NC SURRY 1.4 1.9 1.7 1.8 46705
NC SWAIN 1.8 1.8 2.2 1.7 9266
NC TRANSYLVANIA 1.8 1.8 2.2 1.7 15698
NC TYRRELL 1.0 1.8 1.3 1.7 4826
NC UNION 1.2 1.8 1.5 1.7 43158
NC VANCE 0.3 5.3 0.5 4.7 32060
NC WAKE 0.8 3.4 1.0 3.1 150322
NC WARREN 1.1 1.9 1.4 1.7 21890
NC WASHINGTON 1.0 3.0 1.3 2.7 13311
NC WATAUGA 1.3 2.0 1.6 1.8 17998
NC WAYNE 1.1 1.9 1.4 1.7 71829
NC WILKES 1.4 2.1 1.8 2.0 45256
NC WILSON 1.3 1.8 1.6 1.7 55872
NC YADKIN 1.6 1.9 2.0 1.8 22423
NC YANCEY 1.5 1.8 1.9 1.7 15330
North Dakota
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.
ND ADAMS 5.6 2.1 6.4 2.0 4715
ND BARNES 4.4 2.1 4.9 2.0 16810
ND BENSON 4.6 2.3 5.1 2.2 10148
ND BILLINGS 7.3 2.5 8.2 2.3 1663
ND BOTTINEAU 4.4 2.1 5.1 2.0 11792
ND BOWMAN 5.3 2.0 6.0 1.9 4064
ND BURKE 4.6 2.3 5.3 2.2 6309
ND BURLEIGH 5.1 2.3 5.8 2.2 29218
ND CASS 4.4 2.4 5.0 2.3 62309
ND CAVALIER 3.8 2.0 4.3 1.9 11087
ND DICKEY 5.5 2.1 6.2 2.1 8707
ND DIVIDE 5.2 2.9 5.8 2.8 5793
ND DUNN 6.0 2.0 6.8 2.0 6849
ND EDDY 4.5 2.0 5.0 1.9 5188
ND EMMONS 5.8 2.2 6.6 2.1 9184
ND FOSTER 5.5 2.4 6.2 2.3 5351
ND GOLDEN VALLE 6.7 2.1 7.6 2.0 3333
ND GRAND FORKS 3.9 2.1 4.5 2.0 43368
ND GRANT 5.7 2.0 6.4 1.9 6744
ND GRIGGS 4.4 2.1 4.9 2.0 5275
ND HETTINGER 5.1 2.1 5.9 2.0 6767
ND KIDDER 4.4 2.1 4.9 2.0 5838
ND LA MOURE 5.4 2.1 6.0 2.0 9160
ND LOGAN 5.0 2.4 5.6 2.3 5936
ND MCHENRY 5.0 2.4 5.7 2.3 11933
ND MCINTOSH 5.9 2.3 6.7 2.2 7212
ND MCKENZIE 5.4 2.3 6.1 2.2 7038
ND MCLEAN 5.9 2.3 6.7 2.2 16785
ND MERCER 5.5 2.1 6.2 2.0 7891
ND MORTON 5.4 2.3 6.1 2.2 20016
ND MOUNTRAIL 4.9 2.1 5.5 2.0 9699
ND NELSON 4.5 2.0 5.1 1.9 7643
ND OLIVER 5.1 2.3 5.8 2.2 2889
ND PEMBINA 4.2 2.1 4.7 2.1 13547
ND PIERCE 4.1 2.1 4.6 2.0 7932
ND RAMSEY 4.1 2.1 4.7 2.0 13978
ND RANSOM 5.7 2.8 6.4 2.7 8539
ND RENVILLE 4.6 2.3 5.3 2.2 5106
ND RICHLAND 5.7 2.3 6.5 2.2 19423
ND ROLETTE 3.5 2.0 4.0 1.9 10906
ND SARGENT 5.3 2.2 6.0 2.1 7296
ND SHERIDAN 4.9 2.1 5.5 2.0 4867
ND SIOUX 4.8 2.0 5.5 1.9 3683
ND SLOPE 6.4 2.1 7.2 2.0 2137
ND STARK 6.9 2.1 7.9 2.0 17122
ND STEELE 3.8 2.1 4.4 2.0 4963
ND STUTSMAN 4.8 2.3 5.5 2.2 24575
ND TOWNER 3.6 2.1 4.1 2.0 6045
ND TRAILL 4.3 2.5 4.8 2.4 11027
ND WALSH 5.0 2.4 5.6 2.3 18493
ND WARD 5.2 2.3 5.9 2.2 40005
ND WELLS 4.7 2.1 5.3 2.1 9915
ND WILLIAMS 4.9 2.1 5.5 2.0 18823
Ohio
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
-------------------------
OH ADAMS 2.1 4.4 2.6 4.1 20282
OH ALLEN 2.0 4.2 2.4 3.9 94777
OH ASHLAND 0.9 6.2 1.2 5.8 35474
OH ASHTABULA 2.7 2.0 3.1 1.9 84806
OH ATHENS 1.8 4.4 2.2 4.2 46332
OH AUGLAIZE 2.6 3.9 3.1 3.7 32976
OH BELMONT 1.4 4.6 1.8 4.3 86091
OH BROWN 2.2 4.3 2.7 4.0 23479
OH BUTLER 3.6 3.9 4.2 3.7 169255
OH CARROLL 2.3 2.0 2.7 1.9 19815
OH CHAMPAIGN 2.5 4.1 3.0 3.9 28032
OH CLARK 2.6 3.8 3.1 3.6 120066
OH CLERMONT 2.6 4.0 3.1 3.7 58480
OH CLINTON 2.6 4.0 3.1 3.8 27455
OH COLUMBIANA 1.7 4.4 2.0 4.2 102354
OH COSHOCTON 2.2 4.1 2.6 3.9 31602
OH CRAWFORD 1.6 4.4 1.9 4.2 42155
OH CUYAHOGA 3.1 2.0 3.7 1.9 1499339
OH DARKE 2.5 4.2 2.9 4.0 43422
OH DEFIANCE 2.4 2.2 2.8 2.1 28295
OH DELAWARE 1.6 4.4 2.0 4.2 32753
OH ERIE 2.4 3.6 2.8 3.4 59130
OH FAIRFIELD 1.4 4.6 1.7 4.3 57137
OH FAYETTE 1.7 4.4 2.0 4.2 23501
OH FRANKLIN 2.7 2.8 3.1 2.6 579723
OH FULTON 2.1 4.4 2.5 4.2 27165
OH GALLIA 2.6 4.0 3.1 3.7 25425
OH GEAUGA 3.7 2.1 4.2 2.0 35540
OH GREENE 2.5 3.0 2.9 2.9 74085
OH GUERNSEY 0.9 6.3 1.1 5.8 38506
OH HAMILTON 2.1 3.9 2.5 3.7 783525
OH HANCOCK 4.6 3.0 5.3 2.8 48279
OH HARDIN 2.2 2.9 2.6 2.7 29081
OH HARRISON 1.7 4.5 2.0 4.3 18608
OH HENRY 2.9 2.2 3.3 2.1 23680
OH HIGHLAND 2.2 4.4 2.6 4.1 28838
OH HOCKING 2.0 4.3 2.4 4.0 19794
OH HOLMES 2.5 2.0 2.8 1.9 19961
OH HURON 2.3 3.0 2.7 2.8 42742
OH JACKSON 1.9 4.5 2.2 4.3 28448
OH JEFFERSON 2.2 2.5 2.5 2.4 97645
OH KNOX 1.6 4.7 2.0 4.4 36786
OH LAKE 2.0 3.9 2.4 3.6 106890
OH LAWRENCE 2.6 4.0 3.1 3.8 51799
OH LICKING 1.8 4.6 2.1 4.3 78976
OH LOGAN 2.2 4.3 2.6 4.0 32804
OH LORAIN 1.7 4.0 2.0 3.7 177629
OH LUCAS 1.6 4.6 2.0 4.3 421637
OH MADISON 1.5 5.5 1.8 5.2 24067
OH MAHONING 0.9 6.3 1.2 5.9 275841
OH MARION 1.5 4.7 1.8 4.4 54320
OH MEDINA 2.5 4.1 3.0 3.9 51004
OH MEIGS 2.5 3.9 2.9 3.7 22771
OH MERCER 2.3 3.0 2.7 2.9 30118
OH MIAMI 2.3 4.4 2.7 4.1 66236
OH MONROE 1.0 6.2 1.3 5.8 15324
OH MONTGOMERY 4.1 3.7 4.8 3.5 453116
OH MORGAN 1.5 4.9 1.9 4.6 12799
OH MORROW 1.2 5.1 1.4 4.8 18121
OH MUSKINGUM 1.6 4.7 2.0 4.4 76503
OH NOBLE 1.5 4.8 1.8 4.5 11426
OH OTTAWA 1.9 3.6 2.2 3.5 31960
OH PAULDING 2.5 4.0 2.9 3.8 15790
OH PERRY 1.8 4.6 2.1 4.3 28518
OH PICKAWAY 2.3 2.4 2.7 2.3 32120
OH PIKE 2.0 4.4 2.4 4.2 16635
OH PORTAGE 2.5 4.0 3.0 3.7 75790
OH PREBLE 2.7 4.0 3.2 3.8 29384
OH PUTNAM 4.5 3.2 5.1 3.0 26557
OH RICHLAND 1.2 5.9 1.5 5.5 102551
OH ROSS 1.8 4.4 2.1 4.1 57312
OH SANDUSKY 2.0 4.1 2.4 3.9 50523
OH SCIOTO 2.4 3.4 2.9 3.2 83468
OH SENECA 2.5 4.2 3.0 4.0 55674
OH SHELBY 3.3 1.8 3.8 1.7 30655
OH STARK 1.5 4.4 1.9 4.1 307483
OH SUMMIT 2.1 2.9 2.5 2.7 454038
OH TRUMBULL 1.9 4.3 2.2 4.0 180002
OH TUSCARAWAS 0.9 6.2 1.1 5.8 73068
OH UNION 2.5 4.0 3.0 3.8 21611
OH VAN WERT 2.2 3.1 2.6 2.9 27766
OH VINTON 2.0 4.4 2.3 4.1 10553
OH WARREN 2.8 4.0 3.3 3.7 50068
OH WASHINGTON 1.9 4.2 2.2 4.0 47500
OH WAYNE 2.5 2.0 2.9 1.9 65848
OH WILLIAMS 2.9 1.8 3.3 1.7 27800
OH WOOD 2.0 4.2 2.4 4.0 65127
OH WYANDOT 1.3 5.0 1.6 4.7 20578
Oklahoma
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
-------------------------
OK ADAIR 3.8 1.9 4.5 1.7 14152
OK ALFALFA 3.5 2.3 4.2 2.2 9744
OK ATOKA 4.0 2.0 4.7 1.9 12599
OK BEAVER 3.6 1.9 4.3 1.8 7223
OK BECKHAM 3.5 2.0 4.2 1.9 19988
OK BLAINE 2.9 1.7 3.5 1.6 13790
OK BRYAN 2.9 2.1 3.5 2.0 26978
OK CADDO 2.6 1.9 3.1 1.8 32240
OK CANADIAN 2.7 1.9 3.3 1.8 25257
OK CARTER 3.1 2.1 3.7 2.0 37559
OK CHEROKEE 4.3 1.9 5.1 1.7 18470
OK CHOCTAW 3.5 1.9 4.2 1.8 18382
OK CIMARRON 4.1 2.1 4.9 2.0 4555
OK CLEVELAND 2.6 1.7 3.2 1.6 44057
OK COAL 2.7 1.8 3.2 1.7 6993
OK COMANCHE 2.6 1.9 3.1 1.8 70308
OK COTTON 2.5 1.8 3.0 1.7 9267
OK CRAIG 4.3 2.0 5.2 1.9 17433
OK CREEK 3.6 2.0 4.5 1.9 42019
OK CUSTER 2.6 1.9 3.2 1.7 21068
OK DELAWARE 4.3 1.9 5.1 1.8 14079
OK DEWEY 2.9 2.1 3.5 2.0 7626
OK ELLIS 4.4 1.9 5.3 1.8 6531
OK GARFIELD 3.0 1.9 3.7 1.8 52888
OK GARVIN 2.5 1.7 3.0 1.6 28984
OK GRADY 2.5 1.8 3.0 1.7 32628
OK GRANT 3.1 1.7 3.7 1.6 9479
OK GREER 3.3 2.0 3.9 1.9 10530
OK HARMON 2.8 2.1 3.4 1.9 7132
OK HARPER 2.7 1.8 3.2 1.7 5963
OK HASKELL 3.2 1.7 3.9 1.6 11531
OK HUGHES 3.9 2.1 4.7 1.9 18320
OK JACKSON 2.5 1.9 2.9 1.7 24186
OK JEFFERSON 2.6 1.9 3.2 1.7 9878
OK JOHNSTON 3.1 1.8 3.8 1.7 9716
OK KAY 3.4 1.9 4.2 1.7 49807
OK KINGFISHER 3.2 1.9 3.9 1.8 11916
OK KIOWA 2.4 1.9 2.9 1.8 17183
OK LATIMER 3.5 1.9 4.2 1.8 8860
OK LE FLORE 3.2 1.7 3.8 1.6 32652
OK LINCOLN 3.4 1.8 4.1 1.7 20692
OK LOGAN 2.8 1.8 3.4 1.7 20677
OK LOVE 3.5 1.9 4.2 1.8 6929
OK MCCLAIN 2.6 1.7 3.1 1.6 13859
OK MCCURTAIN 3.3 1.9 3.9 1.7 29153
OK MCINTOSH 3.8 1.8 4.5 1.7 15512
OK MAJOR 2.8 1.9 3.3 1.7 9225
OK MARSHALL 2.8 1.8 3.4 1.7 7791
OK MAYES 4.1 1.9 4.9 1.7 19884
OK MURRAY 2.5 1.8 3.0 1.7 10710
OK MUSKOGEE 3.7 1.8 4.5 1.7 63999
OK NOBLE 3.5 2.1 4.2 1.9 11401
OK NOWATA 3.4 1.9 4.1 1.7 11928
OK OKFUSKEE 3.5 1.8 4.2 1.7 14721
OK OKLAHOMA 2.7 1.8 3.2 1.7 373868
OK OKMULGEE 3.5 1.8 4.2 1.7 41326
OK OSAGE 3.9 2.1 4.7 1.9 32805
OK OTTAWA 4.4 2.2 5.3 2.0 30552
OK PAWNEE 3.6 1.9 4.3 1.7 12451
OK PAYNE 3.0 1.8 3.6 1.7 45496
OK PITTSBURG 4.1 1.9 4.9 1.8 38196
OK PONTOTOC 3.1 2.0 3.7 1.9 29692
OK POTTAWATOMIE 2.8 1.8 3.4 1.7 42651
OK PUSHMATAHA 3.2 1.8 3.8 1.7 10760
OK ROGER MILLS 4.6 1.9 5.5 1.8 6417
OK ROGERS 3.4 1.8 4.1 1.7 19991
OK SEMINOLE 3.8 1.9 4.6 1.8 35314
OK SEQUOYAH 3.5 1.8 4.2 1.7 19024
OK STEPHENS 2.6 2.0 3.1 1.9 35737
OK TEXAS 4.4 2.6 5.4 2.4 14203
OK TILLMAN 2.2 1.8 2.6 1.7 16343
OK TULSA 4.3 1.9 5.3 1.8 291784
OK WAGONER 3.7 1.8 4.4 1.7 16289
OK WASHINGTON 3.7 2.2 4.4 2.0 36905
OK WASHITA 3.3 2.0 3.9 1.9 17852
OK WOODS 2.9 1.9 3.6 1.7 13424
OK WOODWARD 2.6 1.7 3.1 1.6 14180
Oregon
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
-------------------------
OR BAKER 3.9 2.9 4.6 2.7 16646
OR BENTON 0.5 1.9 0.6 1.8 34797
OR CLACKAMAS 0.7 2.1 0.9 2.0 97903
OR CLATSOP 0.7 1.9 0.8 1.8 29336
OR COLUMBIA 0.5 2.0 0.6 1.9 22721
OR COOS 0.5 1.9 0.6 1.8 47660
OR CROOK 0.6 2.0 0.7 1.9 9178
OR CURRY 0.6 1.9 0.7 1.8 9419
OR DESCHUTES 0.5 2.2 0.6 2.0 22361
OR DOUGLAS 0.6 2.0 0.7 1.9 60460
OR GILLIAM 0.6 2.0 0.7 1.9 2921
OR GRANT 3.1 2.1 3.6 2.0 8072
OR HARNEY 0.8 1.9 0.9 1.8 6385
OR HOOD RIVER 0.4 1.9 0.5 1.8 13017
OR JACKSON 0.6 2.2 0.7 2.1 65079
OR JEFFERSON 0.5 2.1 0.6 1.9 6211
OR JOSEPHINE 0.6 2.1 0.7 2.0 27978
OR KLAMATH 0.8 2.1 0.9 2.0 44411
OR LAKE 0.7 2.2 0.9 2.1 6865
OR LANE 0.6 1.9 0.7 1.8 141552
OR LINCOLN 0.6 1.9 0.8 1.8 22725
OR LINN 0.6 1.9 0.7 1.8 56255
OR MALHEUR 0.9 1.8 1.0 1.7 23030
OR MARION 0.7 1.9 0.8 1.8 109683
OR MORROW 0.7 2.2 0.8 2.0 4824
OR MULTNOMAH 0.5 1.8 0.6 1.7 493327
OR POLK 0.5 1.9 0.6 1.8 26406
OR SHERMAN 0.6 2.0 0.7 1.9 2345
OR TILLAMOOK 0.7 2.3 0.8 2.2 18754
OR UMATILLA 2.3 2.3 2.6 2.2 42830
OR UNION 2.6 2.5 3.1 2.4 18053
OR WALLOWA 2.8 2.9 3.3 2.8 7196
OR WASCO 0.6 2.2 0.6 2.1 17530
OR WASHINGTON 0.5 1.9 0.6 1.8 74432
OR WHEELER 0.6 2.1 0.6 2.0 3061
OR YAMHILL 0.4 2.0 0.5 1.9 33054
Pennsylvania
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
-------------------------
PA ADAMS 0.6 4.5 0.8 4.1 47470
PA ALLEGHENY 0.7 4.7 0.8 4.4 1563413
PA ARMSTRONG 1.2 3.4 1.5 3.2 80283
PA BEAVER 0.7 4.7 1.0 4.3 188693
PA BEDFORD 1.6 2.7 1.9 2.6 41483
PA BERKS 1.5 2.1 1.8 1.9 264102
PA BLAIR 1.7 1.9 2.0 1.8 138554
PA BRADFORD 1.3 1.9 1.6 1.8 53083
PA BUCKS 1.3 2.0 1.6 1.9 214294
PA BUTLER 1.2 3.5 1.5 3.2 104684
PA CAMBRIA 1.2 3.2 1.5 3.0 206887
PA CAMERON 1.3 2.5 1.5 2.3 7260
PA CARBON 1.5 2.0 1.8 1.8 55573
PA CENTRE 0.9 3.3 1.2 3.1 71301
PA CHESTER 0.9 4.0 1.2 3.7 181018
PA CLARION 1.4 3.2 1.8 3.0 37950
PA CLEARFIELD 0.9 4.5 1.1 4.1 84077
PA CLINTON 0.9 4.0 1.1 3.7 36991
PA COLUMBIA 1.2 1.9 1.5 1.8 53470
PA CRAWFORD 1.6 3.2 1.9 2.9 78524
PA CUMBERLAND 1.3 1.8 1.5 1.7 107359
PA DAUPHIN 1.2 1.8 1.5 1.7 207334
PA DELAWARE 1.3 2.7 1.5 2.5 473280
PA ELK 1.2 3.9 1.5 3.5 35702
PA ERIE 2.4 2.1 2.9 1.9 232690
PA FAYETTE 1.5 3.3 1.8 3.1 181164
PA FOREST 1.4 3.3 1.8 3.1 4752
PA FRANKLIN 1.5 1.8 1.8 1.7 81130
PA FULTON 1.3 3.2 1.6 3.0 10476
PA GREENE 1.1 3.5 1.4 3.3 42859
PA HUNTINGDON 1.1 3.0 1.4 2.8 40273
PA INDIANA 1.3 3.3 1.6 3.1 76368
PA JEFFERSON 1.3 3.4 1.5 3.2 48147
PA JUNIATA 1.2 1.9 1.4 1.8 15512
PA LACKAWANNA 1.2 2.6 1.4 2.4 247685
PA LANCASTER 1.0 3.1 1.2 2.9 253269
PA LAWRENCE 0.8 4.7 1.0 4.3 108455
PA LEBANON 1.1 1.8 1.3 1.7 85580
PA LEHIGH 1.5 2.1 1.7 1.9 210674
PA LUZERNE 1.4 2.2 1.7 2.0 373001
PA LYCOMING 1.1 2.1 1.4 2.0 104701
PA MCKEAN 1.8 1.9 2.2 1.8 55721
PA MERCER 1.5 3.2 1.8 3.0 118571
PA MIFFLIN 1.2 2.0 1.4 1.8 43970
PA MONROE 1.7 2.2 2.0 2.0 36232
PA MONTGOMERY 1.4 2.1 1.7 1.9 422606
PA MONTOUR 1.1 2.0 1.3 1.9 16309
PA NORTHAMPTON 1.6 2.0 1.9 1.9 192122
PA NORTHUMBERLA 0.6 4.4 0.8 4.1 111600
PA PERRY 1.2 1.8 1.5 1.7 25549
PA PHILADELPHIA 1.2 1.8 1.4 1.7 2042244
PA PIKE 1.6 2.1 1.9 2.0 8738
PA POTTER 1.8 2.2 2.1 2.1 16672
PA SCHUYLKILL 1.5 1.9 1.8 1.8 188868
PA SNYDER 0.9 3.5 1.2 3.3 24189
PA SOMERSET 1.4 3.2 1.7 3.0 79966
PA SULLIVAN 1.2 2.0 1.4 1.8 6531
PA SUSQUEHANNA 1.2 1.9 1.5 1.8 32467
PA TIOGA 1.3 1.9 1.6 1.7 35958
PA UNION 0.9 2.3 1.1 2.1 24209
PA VENANGO 1.3 3.5 1.6 3.3 65314
PA WARREN 2.0 2.2 2.4 2.0 43924
PA WASHINGTON 1.4 3.3 1.7 3.1 212879
PA WAYNE 1.6 2.2 1.9 2.0 28375
PA WESTMORELAND 1.4 3.2 1.8 3.0 329946
PA WYOMING 1.2 2.4 1.4 2.2 16783
PA YORK 0.7 4.3 0.9 4.0 217865
Rhode Island
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
-------------------------
RI BRISTOL 2.6 1.9 3.1 1.8 32505
RI KENT 2.8 2.1 3.2 2.0 92579
RI NEWPORT 1.9 1.9 2.2 1.8 70188
RI PROVIDENCE 2.6 1.9 3.0 1.8 572343
RI WASHINGTON 2.8 2.1 3.2 2.0 53009
South Carolina
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
-------------------------
SC ABBEVILLE 1.4 1.7 1.8 1.6 22016
SC AIKEN 1.2 1.7 1.5 1.6 64999
SC ALLENDALE 1.5 1.7 1.8 1.6 11598
SC ANDERSON 1.7 1.7 2.1 1.6 93983
SC BAMBERG 1.5 1.7 1.9 1.6 16997
SC BARNWELL 1.5 1.7 1.8 1.6 17433
SC BEAUFORT 1.5 1.8 1.9 1.7 34305
SC BERKELEY 1.7 1.9 2.1 1.8 33627
SC CALHOUN 1.9 1.8 2.4 1.7 13694
SC CHARLESTON 1.5 1.8 1.9 1.7 186752
SC CHEROKEE 1.5 1.7 1.9 1.6 35082
SC CHESTER 1.3 1.7 1.6 1.6 31875
SC CHESTERFIELD 1.3 1.7 1.6 1.6 35164
SC CLARENDON 1.8 1.8 2.2 1.7 31061
SC COLLETON 1.5 1.8 1.9 1.7 28062
SC DARLINGTON 1.4 1.7 1.8 1.6 51252
SC DILLON 1.4 1.8 1.7 1.7 30786
SC DORCHESTER 1.5 1.7 1.8 1.6 23362
SC EDGEFIELD 1.3 1.7 1.7 1.6 16225
SC FAIRFIELD 1.5 1.7 1.8 1.6 21330
SC FLORENCE 2.0 1.8 2.4 1.7 81719
SC GEORGETOWN 1.4 1.8 1.7 1.7 33050
SC GREENVILLE 1.8 1.7 2.2 1.6 185842
SC GREENWOOD 1.3 1.7 1.7 1.6 42784
SC HAMPTON 1.3 1.7 1.7 1.6 17772
SC HORRY 1.6 1.8 2.0 1.7 63408
SC JASPER 1.5 1.8 1.9 1.7 11524
SC KERSHAW 1.4 1.8 1.7 1.7 32838
SC LANCASTER 1.3 1.7 1.6 1.6 38039
SC LAURENS 1.4 1.6 1.8 1.5 47246
SC LEE 1.5 1.8 1.9 1.7 22606
SC LEXINGTON 1.3 1.7 1.6 1.6 51270
SC MCCORMICK 1.3 1.7 1.6 1.6 9175
SC MARION 1.5 1.8 1.9 1.7 32642
SC MARLBORO 1.5 1.7 1.8 1.6 30393
SC NEWBERRY 1.5 1.7 1.9 1.6 30773
SC OCONEE 2.0 1.8 2.5 1.7 39539
SC ORANGEBURG 1.7 1.7 2.2 1.6 68654
SC PICKENS 1.8 1.7 2.3 1.6 42601
SC RICHLAND 1.3 1.7 1.6 1.6 167017
SC SALUDA 1.3 1.7 1.7 1.6 15343
SC SPARTANBURG 1.7 1.7 2.1 1.6 153108
SC SUMTER 1.5 1.8 1.9 1.7 64986
SC UNION 1.4 1.7 1.8 1.6 30775
SC WILLIAMSBURG 1.6 1.7 2.0 1.6 42582
SC YORK 1.3 1.7 1.7 1.6 74640
South Dakota
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
-------------------------
SD AURORA 7.4 2.2 8.3 2.1 4906
SD BEADLE 5.9 2.1 6.7 2.0 21341
SD BENNETT 5.7 2.3 6.4 2.2 3249
SD BON HOMME 4.4 2.1 4.9 2.0 9349
SD BROOKINGS 6.2 3.1 7.0 2.9 18784
SD BROWN 4.8 2.3 5.5 2.2 33249
SD BRULE 7.4 2.1 8.4 2.0 6181
SD BUFFALO 5.8 2.2 6.6 2.1 1588
SD BUTTE 5.4 2.0 6.1 1.9 8347
SD CAMPBELL 5.8 2.2 6.6 2.1 3828
SD CHARLES MIX 6.8 2.1 7.6 2.1 13952
SD CLARK 6.3 2.3 7.1 2.2 7843
SD CLAY 3.2 4.6 3.8 4.3 10913
SD CODINGTON 5.3 2.2 6.0 2.1 19488
SD CORSON 6.6 2.2 7.5 2.1 6013
SD CUSTER 5.8 4.7 6.8 4.5 5256
SD DAVISON 3.4 4.3 4.0 4.1 16589
SD DAY 5.2 2.1 5.9 2.1 11537
SD DEUEL 2.6 2.4 2.9 2.3 7302
SD DEWEY 6.4 2.1 7.3 2.0 5093
SD DOUGLAS 6.1 2.2 6.9 2.1 5417
SD EDMUNDS 5.8 2.0 6.6 1.9 6765
SD FALL RIVER 2.7 4.8 3.3 4.5 10548
SD FAULK 7.0 2.3 7.9 2.2 4599
SD GRANT 2.5 2.0 2.8 1.9 10097
SD GREGORY 6.4 2.2 7.2 2.1 8061
SD HAAKON 8.7 2.2 9.9 2.1 3224
SD HAMLIN 4.9 3.8 5.6 3.7 6738
SD HAND 5.9 2.3 6.7 2.2 6964
SD HANSON 3.7 4.3 4.3 4.1 4766
SD HARDING 6.7 2.1 7.6 2.0 2320
SD HUGHES 4.6 2.3 5.3 2.2 10078
SD HUTCHINSON 4.7 4.2 5.4 4.0 11280
SD HYDE 5.9 2.3 6.7 2.2 2724
SD JACKSON 6.9 2.2 7.8 2.1 1596
SD JERAULD 5.8 3.0 6.6 2.9 4293
SD JONES 6.4 2.2 7.2 2.1 2194
SD KINGSBURY 6.0 3.2 6.8 3.1 9653
SD LAKE 4.6 3.7 5.2 3.5 11782
SD LAWRENCE 4.5 2.0 5.1 1.9 16828
SD LINCOLN 3.4 4.5 4.0 4.3 12599
SD LYMAN 7.6 2.1 8.6 2.1 4514
SD MCCOOK 4.7 4.3 5.4 4.1 8587
SD MCPHERSON 5.1 2.1 5.8 2.0 6541
SD MARSHALL 4.7 2.4 5.4 2.3 7338
SD MEADE 6.2 2.1 7.0 2.0 11737
SD MELLETTE 5.6 2.1 6.5 2.0 2881
SD MINER 4.3 4.1 5.0 3.9 5900
SD MINNEHAHA 4.0 4.0 4.5 3.8 77568
SD MOODY 2.3 4.2 2.7 4.0 9066
SD PENNINGTON 5.8 2.0 6.6 1.9 44316
SD PERKINS 5.4 2.0 6.2 1.9 6432
SD POTTER 6.4 2.1 7.3 2.0 4787
SD ROBERTS 5.2 2.3 5.9 2.2 14188
SD SANBORN 6.0 2.1 6.8 2.1 4931
SD SHANNON 2.0 5.4 2.4 5.1 5812
SD SPINK 5.6 2.2 6.3 2.1 11994
SD STANLEY 5.3 4.2 6.2 4.0 2921
SD SULLY 6.1 2.2 6.9 2.1 2669
SD TODD 5.5 2.1 6.2 2.0 4720
SD TRIPP 6.6 2.3 7.4 2.2 8979
SD TURNER 4.0 4.5 4.8 4.3 11698
SD UNION 3.4 4.5 4.0 4.3 10539
SD WALWORTH 5.9 2.1 6.7 2.0 7841
SD WASHABAUGH 3.1 5.1 3.7 4.8 1599
SD YANKTON 1.8 6.3 2.3 5.9 17123
SD ZIEBACH 6.2 2.1 7.0 2.0 2555
Tennessee
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
-------------------------
TN ANDERSON 1.7 1.7 2.1 1.6 59673
TN BEDFORD 1.5 1.7 1.9 1.6 23423
TN BENTON 1.8 1.7 2.1 1.6 11139
TN BLEDSOE 1.5 1.8 1.9 1.7 8245
TN BLOUNT 1.5 1.7 1.9 1.6 55897
TN BRADLEY 1.4 1.8 1.8 1.7 34878
TN CAMPBELL 1.2 2.5 1.5 2.3 31635
TN CANNON 1.3 1.7 1.6 1.6 8899
TN CARROLL 1.9 1.8 2.3 1.7 25249
TN CARTER 1.5 2.2 1.8 2.0 42073
TN CHEATHAM 1.7 2.0 2.1 1.9 9281
TN CHESTER 1.8 2.2 2.2 2.1 10482
TN CLAIBORNE 1.6 2.4 1.9 2.2 22357
TN CLAY 1.1 2.7 1.4 2.5 8102
TN COCKE 1.7 1.8 2.1 1.7 23160
TN COFFEE 1.5 1.7 1.9 1.6 25413
TN CROCKETT 2.2 2.2 2.7 2.1 15763
TN CUMBERLAND 1.6 1.8 1.9 1.7 18985
TN DAVIDSON 1.7 2.0 2.1 1.9 354905
TN DECATUR 1.8 1.7 2.2 1.6 8968
TN DE KALB 1.6 1.8 1.9 1.7 11295
TN DICKSON 1.8 1.7 2.2 1.6 18818
TN DYER 2.5 2.1 3.0 1.9 31799
TN FAYETTE 2.3 2.0 2.7 1.9 26281
TN FENTRESS 1.7 1.7 2.1 1.6 14225
TN FRANKLIN 1.4 1.7 1.7 1.6 25469
TN GIBSON 2.6 2.0 3.2 1.9 46671
TN GILES 1.5 1.7 1.9 1.6 25027
TN GRAINGER 1.4 1.8 1.7 1.7 12844
TN GREENE 1.8 1.8 2.1 1.7 41520
TN GRUNDY 1.5 1.8 1.9 1.7 12115
TN HAMBLEN 1.4 1.7 1.8 1.6 27851
TN HAMILTON 1.5 1.7 1.8 1.6 220852
TN HANCOCK 1.4 2.5 1.7 2.3 8542
TN HARDEMAN 2.2 1.8 2.7 1.7 22550
TN HARDIN 2.0 1.8 2.5 1.7 17121
TN HAWKINS 1.3 2.3 1.6 2.2 30485
TN HAYWOOD 2.3 2.1 2.8 2.0 25014
TN HENDERSON 2.0 1.7 2.4 1.6 16724
TN HENRY 2.0 1.9 2.4 1.7 23167
TN HICKMAN 1.8 1.7 2.2 1.6 12720
TN HOUSTON 1.7 1.7 2.0 1.6 5095
TN HUMPHREYS 1.7 1.8 2.1 1.7 11231
TN JACKSON 1.3 1.8 1.6 1.7 11025
TN JEFFERSON 1.5 1.7 1.9 1.6 20446
TN JOHNSON 1.2 2.5 1.4 2.3 11639
TN KNOX 1.2 1.6 1.5 1.5 234700
TN LAKE 2.8 2.0 3.4 1.9 10773
TN LAUDERDALE 2.9 2.1 3.5 2.0 23685
TN LAWRENCE 1.6 1.6 2.0 1.6 28490
TN LEWIS 1.3 1.7 1.6 1.6 6159
TN LINCOLN 1.8 1.7 2.2 1.6 24861
TN LOUDON 1.3 1.7 1.7 1.6 23426
TN MCMINN 1.4 1.8 1.8 1.7 32721
TN MCNAIRY 2.5 2.3 3.0 2.2 19415
TN MACON 1.3 1.8 1.6 1.7 13006
TN MADISON 2.8 2.1 3.5 1.9 60352
TN MARION 1.3 1.7 1.6 1.6 20742
TN MARSHALL 1.5 1.7 1.9 1.6 17382
TN MAURY 2.0 1.7 2.4 1.6 40934
TN MEIGS 1.3 1.7 1.6 1.6 5686
TN MONROE 1.8 1.7 2.3 1.6 24008
TN MONTGOMERY 1.8 1.9 2.2 1.8 49060
TN MOORE 1.5 1.7 1.8 1.6 3741
TN MORGAN 1.5 1.7 1.8 1.6 15119
TN OBION 2.9 2.2 3.5 2.0 28168
TN OVERTON 1.3 1.8 1.6 1.7 16332
TN PERRY 1.7 1.7 2.0 1.6 5956
TN PICKETT 1.6 2.2 2.0 2.1 4814
TN POLK 1.6 1.8 1.9 1.7 13260
TN PUTNAM 1.3 1.8 1.7 1.7 29602
TN RHEA 1.5 1.8 1.9 1.7 15964
TN ROANE 1.5 1.7 1.9 1.6 34836
TN ROBERTSON 1.7 1.9 2.0 1.8 27154
TN RUTHERFORD 1.3 1.7 1.6 1.6 45658
TN SCOTT 0.9 2.9 1.1 2.6 16535
TN SEQUATCHIE 1.3 1.8 1.6 1.7 5787
TN SEVIER 2.0 1.8 2.5 1.7 23750
TN SHELBY 2.1 1.7 2.6 1.6 543860
TN SMITH 1.3 2.1 1.6 1.9 13231
TN STEWART 1.8 1.7 2.2 1.6 8613
TN SULLIVAN 1.8 2.3 2.2 2.1 103171
TN SUMNER 1.7 1.9 2.0 1.8 34674
TN TIPTON 2.8 2.1 3.4 1.9 29263
TN TROUSDALE 1.3 1.8 1.6 1.7 5261
TN UNICOI 1.4 1.7 1.7 1.6 15546
TN UNION 1.4 1.7 1.7 1.6 8597
TN VAN BUREN 1.4 1.8 1.7 1.7 3852
TN WARREN 1.5 1.8 1.8 1.7 22621
TN WASHINGTON 1.6 2.1 2.0 2.0 62035
TN WAYNE 1.7 1.7 2.1 1.6 13037
TN WEAKLEY 3.4 2.1 4.1 1.9 26379
TN WHITE 1.4 1.8 1.7 1.7 15936
TN WILLIAMSON 1.5 1.8 1.8 1.7 24714
TN WILSON 1.5 2.1 1.8 1.9 26896
Texas
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
-------------------------
TX ANDERSON 2.1 1.8 2.5 1.7 30296
TX ANDREWS 1.0 1.9 1.3 1.8 8594
TX ANGELINA 2.0 2.6 2.5 2.4 37636
TX ARANSAS 0.8 1.9 1.0 1.8 5423
TX ARCHER 2.5 1.7 3.0 1.6 6514
TX ARMSTRONG 1.3 1.9 1.8 1.7 2107
TX ATASCOSA 0.8 1.8 1.0 1.6 19531
TX AUSTIN 1.7 2.9 2.0 2.7 14285
TX BAILEY 1.5 2.0 2.0 1.8 8233
TX BANDERA 0.4 1.9 0.5 1.7 4189
TX BASTROP 1.0 1.9 1.2 1.8 18475
TX BAYLOR 0.7 1.7 1.0 1.6 6461
TX BEE 0.8 1.9 1.0 1.8 20548
TX BELL 1.5 1.7 1.8 1.6 82438
TX BEXAR 1.1 1.9 1.3 1.8 579801
TX BLANCO 0.5 1.8 0.6 1.6 3726
TX BORDEN 0.7 2.0 0.9 1.8 1098
TX BOSQUE 2.0 1.8 2.4 1.7 11400
TX BOWIE 2.8 1.9 3.4 1.8 61121
TX BRAZORIA 1.8 2.8 2.2 2.6 59156
TX BRAZOS 1.4 1.8 1.7 1.6 41150
TX BREWSTER 0.5 1.7 0.6 1.6 6940
TX BRISCOE 1.7 2.0 2.3 1.8 3549
TX BROOKS 0.7 2.0 0.9 1.9 8951
TX BROWN 1.8 1.7 2.2 1.6 26959
TX BURLESON 1.4 1.8 1.7 1.7 12227
TX BURNET 0.4 1.7 0.6 1.6 9895
TX CALDWELL 0.9 1.8 1.1 1.7 18445
TX CALHOUN 0.9 1.9 1.0 1.8 12360
TX CALLAHAN 1.8 2.1 2.2 2.0 8596
TX CAMERON 0.8 2.0 1.0 1.8 136190
TX CAMP 2.5 1.8 3.0 1.7 8362
TX CARSON 1.3 1.8 1.8 1.7 7245
TX CASS 2.6 1.8 3.1 1.7 25361
TX CASTRO 1.5 1.9 2.1 1.7 6909
TX CHAMBERS 1.8 2.8 2.1 2.6 8942
TX CHEROKEE 2.6 1.9 3.1 1.8 36327
TX CHILDRESS 1.1 2.0 1.5 1.8 10553
TX CLAY 3.3 1.8 3.9 1.7 9240
TX COCHRAN 1.2 2.1 1.7 1.9 6132
TX COKE 0.5 1.7 0.6 1.6 3851
TX COLEMAN 0.6 1.8 0.8 1.6 14207
TX COLLIN 3.9 1.8 4.7 1.7 41500
TX COLLINGSWORT 1.3 1.9 1.7 1.8 7925
TX COLORADO 1.0 1.9 1.2 1.8 17951
TX COMAL 1.0 1.8 1.2 1.7 17843
TX COMANCHE 1.7 1.8 2.0 1.7 13963
TX CONCHO 0.6 1.7 0.8 1.6 4483
TX COOKE 4.2 1.9 5.0 1.8 22319
TX CORYELL 1.4 1.8 1.7 1.7 19549
TX COTTLE 0.7 1.8 0.9 1.7 5297
TX CRANE 1.3 1.9 1.4 1.8 4276
TX CROCKETT 0.3 1.8 0.4 1.6 4081
TX CROSBY 1.0 2.1 1.4 1.9 9905
TX CULBERSON 0.9 2.0 1.2 1.8 2239
TX DALLAM 1.8 2.6 2.4 2.3 7069
TX DALLAS 3.7 1.8 4.4 1.7 757907
TX DAWSON 0.6 2.2 0.8 2.0 19141
TX DEAF SMITH 1.5 1.9 2.1 1.7 10843
TX DELTA 2.8 1.8 3.4 1.7 7642
TX DENTON 4.0 1.9 4.8 1.8 43943
TX DE WITT 0.9 1.9 1.1 1.8 22002
TX DICKENS 0.7 1.9 1.0 1.8 6235
TX DIMMIT 0.9 1.8 1.1 1.7 10416
TX DONLEY 1.5 2.0 2.0 1.8 5465
TX DUVAL 0.7 2.0 0.8 1.8 14689
TX EASTLAND 2.1 1.7 2.5 1.6 22065
TX ECTOR 1.6 1.8 1.8 1.8 62884
TX EDWARDS 0.3 1.7 0.4 1.6 2656
TX ELLIS 2.9 1.8 3.4 1.7 44691
TX EL PASO 1.0 2.3 1.3 2.0 245587
TX ERATH 1.8 1.8 2.2 1.7 17499
TX FALLS 1.7 1.8 2.1 1.7 24405
TX FANNIN 4.7 2.0 5.6 1.9 28123
TX FAYETTE 1.3 1.8 1.5 1.7 22566
TX FISHER 0.8 1.8 1.1 1.6 9683
TX FLOYD 1.3 2.0 1.8 1.8 11314
TX FOARD 0.7 1.8 1.0 1.7 3753
TX FORT BEND 1.6 2.8 2.0 2.6 35082
TX FRANKLIN 2.7 1.8 3.3 1.7 5767
TX FREESTONE 1.7 1.8 2.1 1.7 14349
TX FRIO 0.9 1.9 1.1 1.8 10251
TX GAINES 1.0 2.0 1.4 1.8 10337
TX GALVESTON 1.5 3.1 1.8 2.9 124670
TX GARZA 0.6 2.0 0.8 1.8 6423
TX GILLESPIE 0.4 1.8 0.6 1.7 10320
TX GLASSCOCK 0.4 1.8 0.5 1.6 1102
TX GOLIAD 0.8 2.0 1.0 1.9 5882
TX GONZALES 0.9 1.8 1.2 1.7 19754
TX GRAY 1.3 1.9 1.7 1.7 27622
TX GRAYSON 4.6 1.9 5.5 1.8 71565
TX GREGG 2.1 1.8 2.6 1.7 64732
TX GRIMES 2.0 2.7 2.5 2.5 14104
TX GUADALUPE 0.8 1.8 1.0 1.6 26931
TX HALE 1.5 1.9 2.0 1.7 31861
TX HALL 1.3 1.9 1.7 1.7 9397
TX HAMILTON 1.8 1.8 2.2 1.7 9741
TX HANSFORD 1.6 2.6 2.2 2.3 5054
TX HARDEMAN 0.8 1.8 1.1 1.7 9388
TX HARDIN 1.8 2.8 2.2 2.6 21701
TX HARRIS 1.9 2.8 2.3 2.6 992194
TX HARRISON 2.3 1.7 2.8 1.6 46832
TX HARTLEY 1.8 1.9 2.5 1.7 2026
TX HASKELL 0.7 1.8 0.9 1.6 12650
TX HAYS 1.0 1.8 1.2 1.7 18729
TX HEMPHILL 1.2 1.9 1.6 1.7 3724
TX HENDERSON 2.5 1.8 3.0 1.7 22715
TX HIDALGO 0.8 2.0 1.0 1.8 169142
TX HILL 2.0 1.8 2.4 1.7 28040
TX HOCKLEY 1.3 2.0 1.8 1.8 21231
TX HOOD 2.1 1.8 2.6 1.7 5352
TX HOPKINS 2.7 1.8 3.3 1.7 21414
TX HOUSTON 1.8 1.7 2.1 1.6 21362
TX HOWARD 0.6 1.9 0.8 1.8 32424
TX HUDSPETH 1.0 2.3 1.3 2.0 3897
TX HUNT 2.9 1.8 3.6 1.7 41315
TX HUTCHINSON 1.3 2.3 1.9 2.0 32790
TX IRION 0.5 1.8 0.7 1.6 1419
TX JACK 2.7 1.8 3.2 1.7 7612
TX JACKSON 0.9 1.9 1.1 1.8 13400
TX JASPER 2.4 2.6 2.8 2.4 20916
TX JEFF DAVIS 0.9 2.0 1.2 1.8 1884
TX JEFFERSON 1.7 1.7 2.0 1.6 216578
TX JIM HOGG 0.8 2.0 1.0 1.8 5235
TX JIM WELLS 0.9 1.9 1.0 1.8 30779
TX JOHNSON 2.4 1.8 2.9 1.7 32804
TX JONES 0.6 1.7 0.8 1.6 20936
TX KARNES 0.9 1.9 1.1 1.8 16224
TX KAUFMAN 2.6 1.8 3.1 1.7 30647
TX KENDALL 0.4 1.9 0.5 1.8 5627
TX KENEDY 0.7 1.9 0.9 1.8 739
TX KENT 0.7 1.9 0.9 1.7 2028
TX KERR 0.4 1.9 0.6 1.7 15207
TX KIMBLE 0.4 1.9 0.5 1.7 4329
TX KING 0.6 1.9 0.8 1.7 774
TX KINNEY 0.2 1.7 0.3 1.6 2577
TX KLEBERG 0.8 1.9 0.9 1.8 25418
TX KNOX 0.8 1.8 1.0 1.6 9138
TX LAMAR 3.9 2.0 4.6 1.9 39298
TX LAMB 1.5 1.9 2.1 1.7 20812
TX LAMPASAS 0.5 1.7 0.7 1.6 9708
TX LA SALLE 0.7 1.8 0.9 1.7 6845
TX LAVACA 1.0 1.8 1.2 1.7 21321
TX LEE 1.5 1.8 1.8 1.7 9636
TX LEON 1.9 1.8 2.2 1.7 11141
TX LIBERTY 1.8 2.8 2.2 2.6 28795
TX LIMESTONE 2.1 1.9 2.5 1.8 23194
TX LIPSCOMB 2.1 1.9 2.8 1.8 3549
TX LIVE OAK 0.9 1.8 1.1 1.7 8540
TX LLANO 0.4 1.7 0.6 1.6 5320
TX LOVING 0.9 2.0 1.2 1.8 228
TX LUBBOCK 1.3 2.0 1.8 1.8 124517
TX LYNN 1.3 2.0 1.7 1.8 10981
TX MCCULLOCH 0.6 1.8 0.8 1.6 10471
TX MCLENNAN 1.9 1.8 2.3 1.7 138653
TX MCMULLEN 0.7 1.8 0.8 1.7 1159
TX MADISON 2.0 2.0 2.4 1.9 7463
TX MARION 2.4 1.9 2.9 1.8 9270
TX MARTIN 0.6 2.0 0.8 1.8 5343
TX MASON 0.5 1.7 0.6 1.6 4450
TX MATAGORDA 1.0 1.8 1.2 1.7 23340
TX MAVERICK 0.8 1.9 0.9 1.8 13236
TX MEDINA 1.0 1.8 1.2 1.7 17820
TX MENARD 0.5 1.7 0.6 1.6 3661
TX MIDLAND 0.7 1.9 0.9 1.8 43606
TX MILAM 1.5 1.8 1.9 1.7 23018
TX MILLS 1.3 1.7 1.6 1.6 5348
TX MITCHELL 0.5 1.8 0.7 1.6 13036
TX MONTAGUE 4.0 1.9 4.8 1.8 16146
TX MONTGOMERY 1.8 2.8 2.2 2.6 25496
TX MOORE 1.4 1.9 1.9 1.7 13958
TX MORRIS 2.5 1.8 3.0 1.7 10771
TX MOTLEY 1.3 2.0 1.7 1.8 3496
TX NACOGDOCHES 1.7 1.8 2.1 1.7 29363
TX NAVARRO 2.1 1.8 2.6 1.7 37581
TX NEWTON 2.4 2.6 2.8 2.4 10636
TX NOLAN 0.6 1.7 0.7 1.6 19452
TX NUECES 0.7 1.6 0.9 1.6 189312
TX OCHILTREE 1.7 2.6 2.3 2.3 7447
TX OLDHAM 1.9 2.3 2.5 2.1 1779
TX ORANGE 2.3 2.8 2.8 2.6 48977
TX PALO PINTO 2.2 1.7 2.7 1.6 18589
TX PANOLA 2.1 1.9 2.5 1.8 18239
TX PARKER 2.4 1.8 2.9 1.7 22107
TX PARMER 1.7 1.9 2.2 1.8 7401
TX PECOS 0.4 1.9 0.6 1.7 10799
TX POLK 2.0 2.7 2.5 2.5 15210
TX POTTER 1.3 2.1 1.9 1.8 91308
TX PRESIDIO 0.4 1.8 0.6 1.6 6553
TX RAINS 2.7 1.8 3.2 1.7 3728
TX RANDALL 1.3 1.7 1.8 1.6 22332
TX REAGAN 0.5 1.8 0.6 1.6 3403
TX REAL 0.3 1.7 0.4 1.6 2310
TX RED RIVER 3.0 1.8 3.6 1.7 19231
TX REEVES 0.9 1.8 1.2 1.7 14253
TX REFUGIO 0.0 25.0 0.1 19.3 10477
TX ROBERTS 1.4 1.9 1.9 1.7 1047
TX ROBERTSON 1.5 1.8 1.9 1.7 18313
TX ROCKWALL 3.2 1.8 3.8 1.7 6042
TX RUNNELS 0.6 1.7 0.8 1.6 16022
TX RUSK 2.2 1.8 2.6 1.7 39828
TX SABINE 2.2 2.7 2.7 2.5 8031
TX SAN AUGUSTIN 2.0 2.7 2.5 2.5 8365
TX SAN JACINTO 1.7 2.8 2.0 2.6 6736
TX SAN PATRICIO 0.8 1.9 1.0 1.8 39740
TX SAN SABA 0.6 1.8 0.7 1.6 7700
TX SCHLEICHER 0.4 1.7 0.6 1.6 2827
TX SCURRY 0.6 1.9 0.8 1.7 21752
TX SHACKELFORD 1.8 1.8 2.2 1.7 4571
TX SHELBY 1.5 1.8 1.9 1.7 22203
TX SHERMAN 1.3 1.9 1.8 1.7 2511
TX SMITH 2.5 2.0 3.0 1.9 79650
TX SOMERVELL 1.8 1.7 2.2 1.6 2558
TX STARR 0.8 1.9 1.0 1.8 15302
TX STEPHENS 1.8 1.8 2.2 1.7 9870
TX STERLING 0.5 1.8 0.7 1.6 1240
TX STONEWALL 0.7 1.8 1.0 1.6 3401
TX SUTTON 0.3 1.7 0.4 1.6 3741
TX SWISHER 1.4 1.9 1.9 1.7 9251
TX TARRANT 3.2 1.8 3.9 1.7 436582
TX TAYLOR 0.5 1.8 0.6 1.6 79398
TX TERRELL 0.3 1.7 0.4 1.6 2943
TX TERRY 1.3 2.0 1.7 1.8 14455
TX THROCKMORTON 1.7 1.7 2.0 1.6 3251
TX TITUS 2.7 1.8 3.3 1.7 17081
TX TOM GREEN 0.5 1.8 0.6 1.6 61352
TX TRAVIS 1.1 1.8 1.3 1.7 182724
TX TRINITY 2.0 2.7 2.5 2.5 8979
TX TYLER 2.0 2.7 2.4 2.5 11023
TX UPSHUR 2.4 1.9 2.9 1.8 20384
TX UPTON 0.4 1.8 0.6 1.7 5704
TX UVALDE 0.4 1.9 0.5 1.7 16360
TX VAL VERDE 0.3 1.8 0.4 1.7 19964
TX VAN ZANDT 3.1 1.9 3.7 1.8 21104
TX VICTORIA 0.8 1.7 0.9 1.6 37712
TX WALKER 2.0 2.7 2.5 2.5 20721
TX WALLER 1.8 2.8 2.1 2.6 12005
TX WARD 0.7 1.9 1.0 1.7 14013
TX WASHINGTON 1.7 2.8 2.1 2.6 19949
TX WEBB 0.7 1.8 0.9 1.7 59822
TX WHARTON 1.1 1.9 1.3 1.8 36964
TX WHEELER 1.5 2.1 2.0 1.9 9312
TX WICHITA 1.0 1.8 1.3 1.6 109133
TX WILBARGER 0.7 1.8 1.0 1.6 19364
TX WILLACY 0.7 1.9 0.9 1.8 20564
TX WILLIAMSON 1.7 1.8 2.0 1.7 37235
TX WILSON 0.8 1.9 1.0 1.8 14067
TX WINKLER 1.0 1.9 1.2 1.7 11587
TX WISE 3.8 1.9 4.5 1.8 16514
TX WOOD 3.2 1.8 3.8 1.7 19755
TX YOAKUM 1.0 2.2 1.4 2.0 5906
TX YOUNG 2.1 1.7 2.5 1.6 17001
TX ZAPATA 0.8 1.8 0.9 1.7 4401
TX ZAVALA 0.9 1.8 1.1 1.6 11840
Utah
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
-------------------------
UT BEAVER 2.4 1.8 3.1 1.7 4633
UT BOX ELDER1 2.2 1.8 2.8 1.6 438
UT BOX ELDER2 3.1 1.9 4.1 1.8 21561
UT CACHE 2.8 1.9 3.7 1.8 34494
UT CARBON 3.6 2.1 4.5 1.9 23300
UT DAGGETT 3.1 1.8 3.9 1.7 703
UT DAVIS 3.1 1.9 4.2 1.7 45270
UT DUCHESNE 2.7 1.8 3.5 1.6 7725
UT EMERY 3.8 1.9 4.7 1.8 5980
UT GARFIELD 7.2 2.0 8.9 1.8 3904
UT GRAND 2.4 1.8 3.2 1.7 3791
UT IRON1 1.1 2.2 1.7 1.9 605
UT IRON2 1.0 2.2 1.6 1.9 2034
UT IRON3 1.1 2.2 1.6 1.9 7496
UT JUAB 4.4 2.0 5.5 1.9 5391
UT KANE1 6.2 2.4 7.8 2.2 1516
UT KANE2 8.1 2.4 10.0 2.2 941
UT MILLARD 7.2 2.2 8.7 2.1 8739
UT MORGAN 3.3 1.9 4.4 1.8 2654
UT PIUTE 4.0 2.1 5.0 2.0 1711
UT RICH 2.5 1.9 3.4 1.7 1678
UT SALT LAKE 3.0 1.8 4.0 1.7 320858
UT SAN JUAN 2.0 2.0 2.5 1.9 6897
UT SANPETE 4.1 2.0 5.0 1.9 12688
UT SEVIER 3.9 2.1 4.8 2.0 11433
UT SUMMIT 3.5 1.8 4.5 1.7 6288
UT TOOELE1 3.5 2.1 4.5 1.9 3278
UT TOOELE2 3.0 1.9 4.0 1.8 12733
UT UINTAH 2.8 1.8 3.6 1.7 10845
UT UTAH 4.8 1.8 6.2 1.7 92569
UT WASATCH 4.5 1.8 5.7 1.7 5462
UT WASHINGTON1 4.8 2.3 6.3 2.1 887
UT WASHINGTON2 8.3 2.3 11.3 2.1 5702
UT WASHINGTON3 6.9 2.3 9.2 2.1 3430
UT WAYNE 2.1 1.8 2.6 1.7 2001
UT WEBER 3.1 1.9 4.2 1.8 94981
Vermont
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
-------------------------
VT ADDISON 4.7 2.3 5.4 2.2 19712
VT BENNINGTON 4.4 2.3 5.1 2.2 24526
VT CALEDONIA 2.9 2.2 3.3 2.1 23516
VT CHITTENDEN 4.4 2.3 5.1 2.2 67607
VT ESSEX 3.1 2.2 3.6 2.1 6183
VT FRANKLIN 3.7 3.1 4.2 3.0 29716
VT GRAND ISLE 4.5 3.1 5.1 3.0 3204
VT LAMOILLE 4.1 2.3 4.7 2.1 11236
VT ORANGE 3.5 2.4 4.1 2.3 16598
VT ORLEANS 3.5 2.8 4.0 2.7 20747
VT RUTLAND 3.6 2.3 4.2 2.1 46251
VT WASHINGTON 3.6 2.2 4.1 2.1 42865
VT WINDHAM 3.9 2.3 4.5 2.1 29186
VT WINDSOR 2.8 2.1 3.2 2.0 41568
Virginia
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
-------------------------
VA ACCOMACK 1.6 2.5 2.0 2.3 32478
VA ALBEMARLE 1.4 1.8 1.7 1.7 55929
VA ALLEGHANY 0.9 4.4 1.1 4.0 28736
VA AMELIA 1.3 3.6 1.6 3.3 7873
VA AMHERST 0.6 4.9 0.8 4.5 21448
VA APPOMATTOX 1.0 3.4 1.3 3.2 8928
VA ARLINGTON 1.5 1.8 1.9 1.7 155994
VA AUGUSTA 1.2 3.3 1.4 3.0 70203
VA BATH 1.1 4.2 1.4 3.9 5892
VA BEDFORD 1.5 3.1 1.9 2.9 30123
VA BLAND 1.7 1.8 2.0 1.7 6244
VA BOTETOURT 0.9 4.4 1.1 4.1 16171
VA BRUNSWICK 1.6 1.8 1.9 1.7 19133
VA BUCHANAN 1.9 3.1 2.3 2.9 36165
VA BUCKINGHAM 1.8 1.9 2.1 1.8 11692
VA CAMPBELL 1.2 3.3 1.5 3.0 81444
VA CAROLINE 1.1 3.5 1.3 3.2 12577
VA CARROLL 1.7 2.8 2.0 2.6 26431
VA CHARLES CITY 1.3 3.3 1.6 3.0 5027
VA CHARLOTTE 1.2 1.8 1.5 1.7 13767
VA CHESTERFIELD 0.9 3.7 1.2 3.3 286971
VA CLARKE 1.5 1.8 1.9 1.7 7444
VA CRAIG 0.9 4.2 1.1 3.9 3412
VA CULPEPER 1.7 1.8 2.1 1.7 14027
VA CUMBERLAND 1.9 1.9 2.3 1.8 6871
VA DICKENSON 1.7 2.7 2.1 2.5 22047
VA DINWIDDIE 1.7 1.8 2.1 1.7 89445
VA ESSEX 1.7 1.8 2.0 1.7 6598
VA FAIRFAX 1.4 3.1 1.7 2.8 247759
VA FAUQUIER 1.3 3.3 1.6 3.0 22449
VA FLOYD 1.7 2.9 2.1 2.7 10971
VA FLUVANNA 1.6 1.9 2.0 1.8 7166
VA FRANKLIN 1.0 3.9 1.2 3.6 25138
VA FREDERICK 1.0 3.5 1.2 3.2 33787
VA GILES 1.1 3.4 1.4 3.2 18216
VA GLOUCESTER 1.6 1.9 1.9 1.8 11015
VA GOOCHLAND 1.4 3.4 1.7 3.2 9052
VA GRAYSON 2.1 2.1 2.5 2.0 20684
VA GREENE 1.0 3.6 1.2 3.3 4734
VA GREENSVILLE 1.7 1.8 2.0 1.7 16248
VA HALIFAX 1.5 1.7 1.8 1.6 40669
VA HANOVER 1.3 3.4 1.6 3.2 24350
VA HENRICO 1.8 1.8 2.3 1.7 82841
VA HENRY 1.6 1.8 1.9 1.7 53009
VA HIGHLAND 0.9 4.3 1.1 4.0 3711
VA ISLE OF WIGH 1.8 1.9 2.1 1.8 15869
VA JAMES CITY 1.5 1.8 1.9 1.7 15180
VA KING AND QUE 1.8 2.9 2.2 2.7 6126
VA KING GEORGE 1.5 1.8 1.9 1.7 6936
VA KING WILLIAM 1.9 2.8 2.4 2.6 7575
VA LANCASTER 1.8 1.8 2.2 1.7 8865
VA LEE 1.7 2.2 2.1 2.0 31732
VA LOUDOUN 1.5 3.1 1.8 2.8 22590
VA LOUISA 1.6 2.0 1.9 1.9 12883
VA LUNENBURG 1.1 3.5 1.3 3.3 13438
VA MADISON 1.3 3.3 1.5 3.1 8237
VA MATHEWS 1.8 1.9 2.1 1.8 7136
VA MECKLENBURG 1.3 3.3 1.6 3.0 32615
VA MIDDLESEX 1.8 1.8 2.2 1.7 6542
VA MONTGOMERY 1.3 3.1 1.6 2.9 40287
VA NELSON 1.3 3.3 1.6 3.1 13497
VA NEW KENT 1.5 3.1 1.8 2.8 4199
VA NORTHAMPTON 1.9 1.8 2.2 1.8 17160
VA NORTHUMBERLA 1.8 1.8 2.2 1.7 10088
VA NOTTOWAY 1.7 1.8 2.0 1.7 15332
VA ORANGE 1.4 3.1 1.7 2.9 12817
VA PAGE 1.5 1.8 1.9 1.7 15329
VA PATRICK 1.9 2.5 2.3 2.3 15493
VA PITTSYLVANIA 1.5 3.1 1.8 2.8 102742
VA POWHATAN 1.4 3.4 1.7 3.2 6063
VA PRINCE EDWAR 1.1 3.4 1.4 3.2 14854
VA PRINCE GEORG 2.0 1.8 2.4 1.7 19915
VA PRINCE WILLI 1.7 1.8 2.1 1.7 34323
VA PULASKI 1.4 3.1 1.7 2.9 27547
VA RAPPAHANNOCK 1.4 3.3 1.7 3.1 5797
VA RICHMOND 1.7 1.8 2.0 1.7 6268
VA ROANOKE 1.5 3.0 1.9 2.8 144202
VA ROCKBRIDGE 1.2 3.4 1.5 3.2 29326
VA ROCKINGHAM 1.0 3.7 1.3 3.5 48661
VA RUSSELL 2.1 2.1 2.5 2.0 26594
VA SCOTT 1.7 2.2 2.1 2.0 26860
VA SHENANDOAH 1.0 3.6 1.2 3.3 21447
VA SMYTH 2.1 1.9 2.5 1.8 30563
VA SOUTHAMPTON 1.5 1.8 1.9 1.7 26813
VA SPOTSYLVANIA 1.2 3.3 1.4 3.0 25519
VA STAFFORD 1.7 1.8 2.0 1.7 14019
VA SURRY 1.6 1.8 1.9 1.7 6219
VA SUSSEX 1.5 1.8 1.9 1.7 12625
VA TAZEWELL 2.2 2.7 2.6 2.5 46354
VA WARREN 0.8 4.5 1.1 4.2 14738
VA WASHINGTON 2.6 1.9 3.1 1.8 54224
VA WESTMORELAND 1.8 1.8 2.2 1.7 10526
VA WISE 2.0 2.2 2.4 2.0 53037
VA WYTHE 1.8 1.7 2.1 1.6 22752
VA YORK 1.7 1.8 2.1 1.7 15689
VA NORFOLK/CHES 1.7 1.8 2.1 1.7 424997
VA HAMPTON 1.6 1.8 1.9 1.7 72300
VA NEWPORT NEWS 1.6 1.8 1.9 1.7 94805
VA SUFFOLK/NANS 1.6 2.8 1.9 2.6 40137
VA VIRGINIA BEA 1.2 3.1 1.4 2.9 59052
Washington
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
-------------------------
WA ADAMS 0.6 1.9 0.7 1.8 8005
WA ASOTIN 2.4 2.8 2.8 2.6 11741
WA BENTON 0.7 2.0 0.8 1.9 55924
WA CHELAN 0.6 2.5 0.6 2.4 39914
WA CLALLAM 0.7 1.9 0.8 1.8 27936
WA CLARK 0.6 2.0 0.6 1.9 88920
WA COLUMBIA 1.9 2.4 2.2 2.3 4736
WA COWLITZ 0.6 2.0 0.7 1.9 55253
WA DOUGLAS 0.5 2.8 0.6 2.7 12549
WA FERRY 0.9 2.6 1.0 2.4 4008
WA FRANKLIN 0.6 1.9 0.7 1.8 17721
WA GARFIELD 2.3 2.4 2.7 2.3 3106
WA GRANT 0.5 2.0 0.6 1.9 33751
WA GRAYS HARBOR 0.6 2.0 0.7 1.9 53994
WA ISLAND 0.4 1.8 0.5 1.7 14716
WA JEFFERSON 0.7 2.3 0.8 2.2 10777
WA KING 0.7 2.2 0.8 2.1 818856
WA KITSAP 0.6 2.1 0.7 2.0 79318
WA KITTITAS 0.7 2.1 0.8 2.0 21482
WA KLICKITAT 0.5 2.0 0.5 1.9 12646
WA LEWIS 0.6 1.9 0.7 1.8 42953
WA LINCOLN 0.7 1.9 0.8 1.8 10946
WA MASON 0.6 2.0 0.6 1.9 15544
WA OKANOGAN 0.7 2.4 0.8 2.3 27598
WA PACIFIC 0.5 2.0 0.6 1.9 15753
WA PEND OREILLE 2.6 2.1 3.0 2.0 7201
WA PIERCE 0.7 2.2 0.8 2.1 295305
WA SAN JUAN 0.4 2.0 0.5 1.9 3086
WA SKAGIT 0.6 2.0 0.7 1.9 46704
WA SKAMANIA 0.7 1.9 0.8 1.8 4966
WA SNOHOMISH 0.8 2.2 0.9 2.1 137345
WA SPOKANE 1.9 2.2 2.2 2.1 245691
WA STEVENS 1.2 2.5 1.3 2.4 18287
WA THURSTON 0.5 2.0 0.5 1.9 49204
WA WAHKIAKUM 0.4 2.1 0.5 2.0 3659
WA WALLA WALLA 1.8 2.1 2.1 2.0 41010
WA WHATCOM 0.7 2.2 0.8 2.1 68259
WA WHITMAN 2.1 2.1 2.4 2.0 31956
WA YAKIMA 0.6 2.1 0.7 2.0 139720
West Virginia
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
-------------------------
WV BARBOUR 1.7 1.8 2.0 1.7 17934
WV BERKELEY 1.2 1.9 1.5 1.8 31816
WV BOONE 1.3 2.9 1.7 2.6 31301
WV BRAXTON 1.3 3.5 1.7 3.2 16837
WV BROOKE 0.9 3.5 1.2 3.2 27774
WV CABELL 1.7 1.8 2.1 1.7 108110
WV CALHOUN 0.6 5.2 0.9 4.7 9279
WV CLAY 1.1 3.7 1.4 3.4 13679
WV DODDRIDGE 1.5 1.9 1.8 1.8 8151
WV FAYETTE 1.0 3.7 1.3 3.4 73639
WV GILMER 0.6 5.2 0.9 4.7 9028
WV GRANT 1.2 3.6 1.5 3.3 8561
WV GREENBRIER 0.8 4.8 1.1 4.4 37235
WV HAMPSHIRE 1.4 1.8 1.7 1.7 12208
WV HANCOCK 1.4 2.1 1.7 2.0 36608
WV HARDY 1.1 3.2 1.4 3.0 9726
WV HARRISON 0.7 4.9 1.0 4.4 82137
WV JACKSON 1.7 1.9 2.1 1.8 16678
WV JEFFERSON 1.2 1.9 1.5 1.8 17813
WV KANAWHA 1.2 3.8 1.5 3.5 245281
WV LEWIS 1.3 3.5 1.7 3.3 20497
WV LINCOLN 1.5 3.5 2.0 3.2 21531
WV LOGAN 1.5 2.6 2.0 2.4 70671
WV MCDOWELL 1.5 3.0 2.0 2.8 87191
WV MARION 1.1 3.5 1.4 3.3 68206
WV MARSHALL 0.6 5.2 0.8 4.7 37380
WV MASON 1.5 3.5 1.9 3.3 23930
WV MERCER 1.5 3.2 1.9 2.9 72119
WV MINERAL 1.3 1.9 1.6 1.7 22341
WV MINGO 1.5 3.0 1.9 2.8 44148
WV MONONGALIA 0.9 3.9 1.2 3.6 58597
WV MONROE 0.9 4.1 1.2 3.7 12470
WV MORGAN 1.4 1.8 1.7 1.7 8320
WV NICHOLAS 1.2 3.6 1.5 3.3 26730
WV OHIO 1.4 2.0 1.7 1.9 70300
WV PENDLETON 1.0 4.1 1.3 3.8 8794
WV PLEASANTS 1.6 1.9 1.9 1.8 6691
WV POCAHONTAS 0.9 3.9 1.1 3.6 11485
WV PRESTON 1.7 1.8 2.0 1.7 29633
WV PUTNAM 1.1 3.8 1.4 3.5 22100
WV RALEIGH 1.0 3.9 1.3 3.5 88436
WV RANDOLPH 1.2 3.7 1.5 3.4 28770
WV RITCHIE 1.4 1.9 1.7 1.8 11830
WV ROANE 1.4 1.9 1.7 1.8 17262
WV SUMMERS 1.3 3.7 1.7 3.4 17678
WV TAYLOR 1.4 1.9 1.7 1.8 16975
WV TUCKER 1.3 3.5 1.7 3.3 9393
WV TYLER 1.1 3.6 1.4 3.3 10317
WV UPSHUR 0.8 4.7 1.2 4.3 18838
WV WAYNE 1.2 3.8 1.5 3.5 38816
WV WEBSTER 0.8 4.0 1.1 3.7 16114
WV WETZEL 1.1 3.8 1.4 3.5 19811
WV WIRT 1.4 3.5 1.8 3.2 4813
WV WOOD 0.9 3.9 1.2 3.6 71550
WV WYOMING 1.1 3.4 1.4 3.1 36391
Wisconsin
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
-------------------------
WI ADAMS 3.8 2.1 4.3 2.0 7761
WI ASHLAND 2.9 2.3 3.3 2.2 18575
WI BARRON 3.0 2.2 3.4 2.1 34517
WI BAYFIELD 2.8 2.3 3.2 2.1 12978
WI BROWN 2.2 2.0 2.5 1.9 109694
WI BUFFALO 4.3 3.0 5.0 2.9 14499
WI BURNETT 3.7 2.2 4.2 2.1 9802
WI CALUMET 3.0 2.0 3.5 1.9 20298
WI CHIPPEWA 3.0 2.1 3.4 2.0 43798
WI CLARK 3.4 2.1 3.9 2.0 32062
WI COLUMBIA 4.4 2.0 5.0 1.9 35165
WI CRAWFORD 4.3 3.0 4.9 2.8 17101
WI DANE 2.8 4.0 3.3 3.8 191774
WI DODGE 3.3 2.0 3.8 1.9 59975
WI DOOR 1.9 1.9 2.2 1.8 20792
WI DOUGLAS 3.3 2.3 3.8 2.1 45989
WI DUNN 3.6 2.1 4.1 2.0 26839
WI EAU CLAIRE 3.9 2.1 4.4 2.0 55937
WI FLORENCE 2.2 2.1 2.5 2.0 3621
WI FOND DU LAC 3.1 2.0 3.5 1.9 70916
WI FOREST 2.2 2.0 2.5 1.9 8633
WI GRANT 2.4 5.5 3.0 5.2 42717
WI GREEN 2.9 4.0 3.5 3.8 24884
WI GREEN LAKE 3.5 2.0 4.0 1.9 15033
WI IOWA 2.9 4.7 3.5 4.5 19617
WI IRON 2.6 2.3 3.0 2.1 8338
WI JACKSON 4.3 2.1 4.9 2.0 15683
WI JEFFERSON 2.0 4.5 2.3 4.2 46055
WI JUNEAU 4.2 2.0 4.8 1.9 18317
WI KENOSHA 3.1 2.3 3.5 2.1 86022
WI KEWAUNEE 2.2 2.1 2.5 2.0 17754
WI LA CROSSE 4.8 2.1 5.5 2.0 69664
WI LAFAYETTE 2.5 4.5 3.1 4.3 18141
WI LANGLADE 2.6 2.0 3.0 1.9 21099
WI LINCOLN 3.3 2.0 3.8 1.9 22278
WI MANITOWOC 2.4 2.0 2.7 1.9 70580
WI MARATHON 3.3 2.0 3.8 1.9 83966
WI MARINETTE 2.8 2.0 3.2 1.9 35284
WI MARQUETTE 3.5 2.0 4.0 1.9 8700
WI MENOMINEE 2.4 2.0 2.8 1.9 3031
WI MILWAUKEE 2.1 1.9 2.4 1.8 941174
WI MONROE 4.7 2.3 5.4 2.1 31322
WI OCONTO 2.4 2.0 2.8 1.9 24478
WI ONEIDA 2.9 2.1 3.3 2.0 21264
WI OUTAGAMIE 2.6 2.0 3.0 1.9 90257
WI OZAUKEE 3.0 1.9 3.4 1.8 29766
WI PEPIN 4.4 2.2 5.0 2.1 7406
WI PIERCE 3.7 2.0 4.3 1.9 21893
WI POLK 3.5 2.0 4.0 1.9 24954
WI PORTAGE 3.5 2.2 4.0 2.1 35752
WI PRICE 2.9 2.3 3.3 2.2 15505
WI RACINE 2.7 2.4 3.0 2.3 123273
WI RICHLAND 4.3 3.0 4.9 2.8 18583
WI ROCK 2.2 4.8 2.7 4.5 101761
WI RUSK 2.9 2.4 3.3 2.3 15939
WI ST CROIX 3.5 2.0 3.9 1.9 27286
WI SAUK 5.0 2.9 5.8 2.8 37294
WI SAWYER 3.3 2.3 3.8 2.1 9965
WI SHAWANO 2.8 2.0 3.2 1.9 33119
WI SHEBOYGAN 2.8 2.0 3.2 1.9 83122
WI TAYLOR 3.2 2.4 3.6 2.3 18193
WI TREMPEALEAU 3.6 2.1 4.1 2.0 23578
WI VERNON 4.4 3.1 5.0 3.0 26954
WI VILAS 3.1 2.0 3.5 1.9 9349
WI WALWORTH 1.4 6.3 1.9 5.9 46167
WI WASHBURN 2.9 2.4 3.3 2.3 11086
WI WASHINGTON 3.0 2.0 3.5 1.9 39097
WI WAUKESHA 3.6 1.9 4.1 1.8 116651
WI WAUPACA 3.1 2.1 3.6 2.0 35176
WI WAUSHARA 3.3 2.0 3.8 1.9 13737
WI WINNEBAGO 3.1 2.0 3.5 1.9 98257
WI WOOD 4.0 2.1 4.6 2.0 54157
Wyoming
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
-------------------------
WY ALBANY 1.8 4.2 2.2 3.9 20007
WY BIG HORN 2.9 1.9 3.4 1.8 12636
WY CAMPBELL 3.9 2.0 4.6 1.9 5268
WY CARBON 3.6 1.7 4.4 1.6 15403
WY CONVERSE 4.5 2.6 5.3 2.4 6117
WY CROOK 4.4 2.1 5.1 2.0 4720
WY FREMONT 4.4 1.9 5.5 1.8 22378
WY GOSHEN 2.6 2.9 3.2 2.7 12344
WY HOT SPRINGS 2.9 1.9 3.4 1.8 5722
WY JOHNSON 2.7 2.6 3.3 2.4 5032
WY LARAMIE 1.4 3.6 1.7 3.4 52970
WY LINCOLN 2.4 2.1 3.1 1.9 9022
WY NATRONA 4.3 2.3 5.0 2.2 39168
WY NIOBRARA 5.2 3.3 6.1 3.1 4293
WY PARK 2.9 2.4 3.4 2.3 13084
WY PLATTE 2.6 2.8 3.2 2.6 7619
WY SHERIDAN 3.6 1.9 4.2 1.8 19676
WY SUBLETTE 3.0 2.0 3.8 1.9 3033
WY SWEETWATER 3.7 1.9 4.6 1.7 20278
WY TETON 2.2 3.1 2.7 2.9 2775
WY UINTA 2.6 1.8 3.3 1.7 7392
WY WASHAKIE 2.7 2.1 3.1 2.0 7947
WY WESTON 2.7 2.5 3.2 2.3 7446
