State and County Exposure Levels to I-131 from the Nevada Test Site
Per capita thyroid doses resulting from all exposure routes from all tests at the Nevada Test Site (NTS).

Alabama
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
AUTAUGA | 1.3 | 1.7 | 1.7 | 1.6 | 18421 |
BALDWIN | 1.3 | 1.9 | 1.7 | 1.7 | 44435 |
BARBOUR | 1.2 | 1.7 | 1.5 | 1.6 | 27114 |
BIBB | 1.4 | 1.7 | 1.8 | 1.6 | 16446 |
BLOUNT | 1.2 | 1.7 | 1.5 | 1.6 | 27474 |
BULLOCK | 1.0 | 1.7 | 1.3 | 1.6 | 14950 |
BUTLER | 1.0 | 1.6 | 1.3 | 1.5 | 27248 |
CALHOUN | 1.3 | 1.7 | 1.7 | 1.6 | 86484 |
CHAMBERS | 1.3 | 1.9 | 1.7 | 1.7 | 38803 |
CHEROKEE | 1.3 | 1.7 | 1.7 | 1.6 | 17072 |
CHILTON | 1.5 | 1.7 | 1.8 | 1.6 | 26401 |
CHOCTAW | 1.0 | 1.7 | 1.3 | 1.6 | 18607 |
CLARKE | 1.3 | 1.9 | 1.7 | 1.7 | 26204 |
CLAY | 1.4 | 1.7 | 1.7 | 1.6 | 13283 |
CLEBURNE | 1.4 | 1.6 | 1.8 | 1.5 | 11483 |
COFFEE | 1.1 | 1.7 | 1.3 | 1.6 | 30663 |
COLBERT | 1.8 | 1.7 | 2.2 | 1.6 | 42512 |
CONECUH | 1.4 | 2.4 | 1.8 | 2.2 | 20074 |
COOSA | 1.2 | 1.7 | 1.5 | 1.6 | 11326 |
COVINGTON | 1.2 | 1.9 | 1.5 | 1.7 | 38359 |
CRENSHAW | 1.1 | 1.7 | 1.4 | 1.6 | 17250 |
CULLMAN | 1.5 | 1.7 | 1.9 | 1.6 | 47565 |
DALE | 1.2 | 1.9 | 1.5 | 1.7 | 25179 |
DALLAS | 1.3 | 1.9 | 1.7 | 1.7 | 56437 |
DE KALB | 1.7 | 1.6 | 2.1 | 1.5 | 43506 |
ELMORE | 1.4 | 1.7 | 1.7 | 1.6 | 31170 |
ESCAMBIA | 1.2 | 1.9 | 1.5 | 1.7 | 32327 |
ETOWAH | 1.5 | 1.7 | 1.8 | 1.6 | 95207 |
FAYETTE | 1.3 | 1.7 | 1.7 | 1.6 | 18011 |
FRANKLIN | 1.5 | 1.6 | 1.9 | 1.5 | 24126 |
GENEVA | 1.2 | 1.8 | 1.5 | 1.7 | 24379 |
GREENE | 1.5 | 1.7 | 1.9 | 1.6 | 15258 |
HALE | 1.6 | 1.8 | 2.0 | 1.7 | 20285 |
HENRY | 1.0 | 1.7 | 1.2 | 1.6 | 17232 |
HOUSTON | 1.1 | 1.7 | 1.4 | 1.6 | 48307 |
JACKSON | 1.7 | 1.6 | 2.1 | 1.5 | 38015 |
JEFFERSON | 1.5 | 1.7 | 1.9 | 1.6 | 591199 |
LAMAR | 1.2 | 1.7 | 1.6 | 1.6 | 15521 |
LAUDERDALE | 1.7 | 1.7 | 2.2 | 1.6 | 57343 |
LAWRENCE | 1.3 | 1.7 | 1.7 | 1.6 | 26015 |
LEE | 1.3 | 1.7 | 1.6 | 1.6 | 47070 |
LIMESTONE | 1.6 | 1.7 | 2.0 | 1.6 | 36089 |
LOWNDES | 1.2 | 1.8 | 1.5 | 1.7 | 16916 |
MACON | 1.2 | 1.7 | 1.5 | 1.6 | 28928 |
MADISON | 1.7 | 1.7 | 2.1 | 1.6 | 91789 |
MARENGO | 1.7 | 2.4 | 2.2 | 2.2 | 28478 |
MARION | 1.3 | 1.7 | 1.7 | 1.6 | 24962 |
MARSHALL | 1.5 | 1.7 | 1.8 | 1.6 | 46335 |
MOBILE | 1.4 | 2.2 | 1.8 | 2.0 | 266464 |
MONROE | 1.3 | 2.4 | 1.7 | 2.2 | 24304 |
MONTGOMERY | 1.2 | 1.6 | 1.5 | 1.5 | 151816 |
MORGAN | 1.6 | 1.7 | 2.0 | 1.6 | 56126 |
PERRY | 1.5 | 1.7 | 1.9 | 1.6 | 19133 |
PICKENS | 1.5 | 1.7 | 1.9 | 1.6 | 23300 |
PIKE | 1.3 | 1.8 | 1.6 | 1.7 | 28644 |
RANDOLPH | 1.3 | 2.0 | 1.6 | 1.8 | 21222 |
RUSSELL | 1.2 | 1.7 | 1.6 | 1.6 | 42909 |
ST CLAIR | 1.2 | 1.7 | 1.5 | 1.6 | 26135 |
SHELBY | 1.2 | 1.7 | 1.5 | 1.6 | 31110 |
SUMTER | 1.3 | 1.9 | 1.6 | 1.7 | 22090 |
TALLADEGA | 1.5 | 1.7 | 1.9 | 1.6 | 64427 |
TALLAPOOSA | 1.4 | 1.7 | 1.7 | 1.6 | 35047 |
TUSCALOOSA | 1.6 | 1.7 | 2.0 | 1.6 | 100446 |
WALKER | 1.4 | 1.7 | 1.8 | 1.6 | 59709 |
WASHINGTON | 1.1 | 2.0 | 1.4 | 1.8 | 15511 |
WILCOX | 1.5 | 2.0 | 1.9 | 1.8 | 21461 |
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.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
APACHE | 1.3 | 2.2 | 2.0 | 1.9 | 28902 |
COCHISE | 0.1 | 2.0 | 0.2 | 1.7 | 41498 |
COCONINO1 | 2.8 | 2.6 | 3.7 | 2.3 | 611 |
COCONINO2 | 2.9 | 2.4 | 3.6 | 2.3 | 10346 |
COCONINO3 | 0.4 | 2.2 | 0.6 | 1.9 | 20586 |
GILA | 0.2 | 2.0 | 0.2 | 1.7 | 24837 |
GRAHAM | 0.2 | 2.0 | 0.2 | 1.7 | 13438 |
GREENLEE | 0.1 | 2.0 | 0.2 | 1.7 | 12256 |
MARICOPA | 0.1 | 2.0 | 0.2 | 1.8 | 472764 |
MOHAVE1 | 2.6 | 2.2 | 3.3 | 2.0 | 227 |
MOHAVE2 | 3.4 | 2.4 | 4.7 | 2.1 | 227 |
MOHAVE3 | 0.4 | 2.3 | 0.6 | 1.9 | 6291 |
MOHAVE4 | 0.5 | 2.1 | 0.7 | 1.9 | 1441 |
NAVAJO | 0.8 | 2.3 | 1.2 | 2.0 | 33084 |
PIMA | 0.2 | 2.3 | 0.3 | 1.9 | 194103 |
PINAL | 0.1 | 2.1 | 0.2 | 1.8 | 51473 |
SANTA CRUZ | 0.2 | 2.1 | 0.3 | 1.8 | 9968 |
YAVAPAI | 0.1 | 2.0 | 0.2 | 1.8 | 26658 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ARKANSAS | 4.5 | 2.2 | 5.3 | 2.1 | 23534 |
ASHLEY | 2.3 | 1.9 | 2.8 | 1.8 | 25051 |
BAXTER | 4.9 | 2.2 | 5.8 | 2.0 | 10946 |
BENTON | 5.5 | 1.9 | 6.5 | 1.8 | 37309 |
BOONE | 4.0 | 2.3 | 4.7 | 2.2 | 16196 |
BRADLEY | 2.4 | 1.8 | 2.9 | 1.7 | 15155 |
CALHOUN | 1.7 | 1.8 | 2.1 | 1.7 | 6651 |
CARROLL | 3.9 | 1.8 | 4.7 | 1.7 | 12413 |
CHICOT | 2.2 | 1.9 | 2.6 | 1.8 | 20894 |
CLARK | 3.1 | 1.9 | 3.6 | 1.8 | 22129 |
CLAY | 4.4 | 2.1 | 5.2 | 1.9 | 24373 |
CLEBURNE | 4.9 | 2.2 | 5.8 | 2.0 | 10458 |
CLEVELAND | 2.7 | 2.2 | 3.2 | 2.0 | 8102 |
COLUMBIA | 2.5 | 1.9 | 2.9 | 1.7 | 27762 |
CONWAY | 3.4 | 2.1 | 4.0 | 2.0 | 16985 |
CRAIGHEAD | 5.4 | 2.0 | 6.4 | 1.9 | 49207 |
CRAWFORD | 4.9 | 1.8 | 5.8 | 1.7 | 22126 |
CRITTENDEN | 3.9 | 2.1 | 4.7 | 1.9 | 47349 |
CROSS | 3.3 | 2.0 | 3.9 | 1.9 | 22549 |
DALLAS | 2.7 | 1.8 | 3.2 | 1.7 | 11616 |
DESHA | 3.5 | 2.1 | 4.2 | 1.9 | 23295 |
DREW | 2.0 | 2.1 | 2.4 | 2.0 | 16793 |
FAULKNER | 4.6 | 2.1 | 5.4 | 1.9 | 24875 |
FRANKLIN | 4.5 | 1.8 | 5.3 | 1.7 | 11445 |
FULTON | 5.9 | 2.2 | 6.9 | 2.0 | 8110 |
GARLAND | 3.3 | 2.2 | 3.8 | 2.0 | 46929 |
GRANT | 3.1 | 2.0 | 3.7 | 1.9 | 8716 |
GREENE | 4.0 | 2.0 | 4.7 | 1.9 | 27476 |
HEMPSTEAD | 2.7 | 1.9 | 3.2 | 1.8 | 22781 |
HOT SPRING | 2.8 | 2.2 | 3.3 | 2.1 | 22060 |
HOWARD | 3.7 | 1.7 | 4.4 | 1.6 | 12297 |
INDEPENDENCE | 5.6 | 2.1 | 6.6 | 2.0 | 22030 |
IZARD | 5.5 | 2.2 | 6.5 | 2.0 | 8601 |
JACKSON | 5.7 | 2.1 | 6.7 | 1.9 | 24608 |
JEFFERSON | 4.8 | 2.2 | 5.6 | 2.0 | 78330 |
JOHNSON | 3.8 | 1.9 | 4.5 | 1.8 | 14554 |
LAFAYETTE | 2.6 | 1.9 | 3.1 | 1.7 | 12281 |
LAWRENCE | 5.3 | 2.1 | 6.3 | 1.9 | 19586 |
LEE | 3.7 | 2.2 | 4.3 | 2.0 | 22912 |
LINCOLN | 3.4 | 2.1 | 4.0 | 2.0 | 15961 |
LITTLE RIVER | 3.3 | 1.9 | 3.9 | 1.8 | 10639 |
LOGAN | 4.3 | 1.8 | 5.1 | 1.7 | 18432 |
LONOKE | 3.8 | 2.1 | 4.4 | 2.0 | 26119 |
MADISON | 5.3 | 1.9 | 6.2 | 1.8 | 10602 |
MARION | 4.6 | 2.2 | 5.5 | 2.1 | 7519 |
MILLER | 3.2 | 1.8 | 3.8 | 1.7 | 32222 |
MISSISSIPPI | 4.5 | 2.1 | 5.3 | 2.0 | 77192 |
MONROE | 3.8 | 2.1 | 4.5 | 2.0 | 18596 |
MONTGOMERY | 3.7 | 1.7 | 4.4 | 1.6 | 6122 |
NEVADA | 2.9 | 1.9 | 3.5 | 1.8 | 13045 |
NEWTON | 4.3 | 2.2 | 5.0 | 2.1 | 7530 |
OUACHITA | 2.4 | 1.8 | 2.9 | 1.7 | 32453 |
PERRY | 3.4 | 2.1 | 4.0 | 2.0 | 5531 |
PHILLIPS | 3.5 | 2.0 | 4.1 | 1.9 | 45298 |
PIKE | 3.4 | 1.7 | 4.0 | 1.6 | 9110 |
POINSETT | 4.0 | 2.1 | 4.7 | 2.0 | 35709 |
POLK | 4.4 | 1.9 | 5.2 | 1.8 | 13244 |
POPE | 3.5 | 2.2 | 4.1 | 2.0 | 22394 |
PRAIRIE | 4.9 | 2.1 | 5.7 | 2.0 | 12388 |
PULASKI | 3.7 | 2.1 | 4.4 | 1.9 | 216366 |
RANDOLPH | 4.9 | 2.1 | 5.7 | 2.0 | 14513 |
ST FRANCIS | 4.0 | 2.2 | 4.8 | 2.0 | 35339 |
SALINE | 3.5 | 2.1 | 4.2 | 1.9 | 25999 |
SCOTT | 3.9 | 1.7 | 4.6 | 1.6 | 8882 |
SEARCY | 3.8 | 2.3 | 4.5 | 2.2 | 9448 |
SEBASTIAN | 4.3 | 1.8 | 5.2 | 1.7 | 65257 |
SEVIER | 3.3 | 1.9 | 4.0 | 1.8 | 11383 |
SHARP | 5.4 | 2.1 | 6.4 | 2.0 | 7865 |
STONE | 4.9 | 2.1 | 5.7 | 2.0 | 7081 |
UNION | 2.4 | 2.0 | 2.9 | 1.9 | 49621 |
VAN BUREN | 4.4 | 2.2 | 5.1 | 2.0 | 8639 |
WASHINGTON | 5.3 | 1.8 | 6.3 | 1.7 | 52455 |
WHITE | 4.9 | 2.1 | 5.7 | 2.0 | 35792 |
WOODRUFF | 4.1 | 2.1 | 4.8 | 1.9 | 16833 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ALAMEDA | 0.3 | 2.1 | 0.4 | 2.0 | 811673 |
ALPINE | 0.8 | 2.2 | 1.0 | 2.0 | 306 |
AMADOR | 0.5 | 2.4 | 0.6 | 2.2 | 9508 |
BUTTE | 0.6 | 2.6 | 0.7 | 2.5 | 72198 |
CALAVERAS | 0.4 | 2.4 | 0.5 | 2.3 | 10067 |
COLUSA | 0.5 | 2.9 | 0.6 | 2.7 | 11834 |
CONTRA COSTA | 0.3 | 1.9 | 0.4 | 1.8 | 345753 |
DEL NORTE | 0.6 | 2.0 | 0.7 | 1.9 | 12200 |
EL DORADO | 0.5 | 2.2 | 0.5 | 2.0 | 21809 |
FRESNO | 0.3 | 1.8 | 0.3 | 1.7 | 314523 |
GLENN | 1.0 | 3.0 | 1.2 | 2.9 | 16213 |
HUMBOLDT | 0.7 | 1.8 | 0.8 | 1.7 | 84392 |
IMPERIAL | 0.1 | 2.7 | 0.1 | 2.3 | 66856 |
INYO1 | 0.3 | 2.2 | 0.4 | 1.9 | 8297 |
INYO2 | 0.3 | 2.2 | 0.4 | 2.0 | 2464 |
INYO3 | 1.1 | 3.0 | 1.8 | 2.7 | 910 |
KERN | 0.3 | 2.0 | 0.3 | 1.9 | 255370 |
KINGS | 0.3 | 1.9 | 0.3 | 1.7 | 48121 |
LAKE | 0.7 | 2.5 | 0.8 | 2.3 | 12462 |
LASSEN | 0.8 | 2.2 | 1.0 | 2.1 | 16400 |
LOS ANGELES | 0.1 | 2.9 | 0.1 | 2.5 | 4953697 |
MADERA | 0.3 | 1.8 | 0.4 | 1.7 | 38458 |
MARIN | 0.5 | 2.4 | 0.6 | 2.3 | 111629 |
MARIPOSA | 0.4 | 1.9 | 0.5 | 1.8 | 5115 |
MENDOCINO | 0.6 | 2.1 | 0.7 | 2.0 | 45195 |
MERCED | 0.3 | 1.9 | 0.3 | 1.7 | 78570 |
MODOC | 1.0 | 2.2 | 1.1 | 2.1 | 9094 |
MONO | 0.6 | 2.0 | 0.8 | 1.8 | 2160 |
MONTEREY | 0.4 | 2.0 | 0.4 | 1.8 | 159337 |
NAPA | 0.5 | 2.4 | 0.6 | 2.2 | 54797 |
NEVADA | 0.7 | 2.4 | 0.8 | 2.3 | 20322 |
ORANGE | 0.1 | 2.4 | 0.1 | 2.1 | 423494 |
PLACER | 0.5 | 2.6 | 0.6 | 2.4 | 48175 |
PLUMAS | 0.9 | 2.0 | 1.0 | 1.9 | 12713 |
RIVERSIDE | 0.1 | 2.0 | 0.1 | 1.8 | 227908 |
SACRAMENTO | 0.3 | 3.0 | 0.3 | 2.7 | 373035 |
SAN BENITO | 0.3 | 1.8 | 0.4 | 1.7 | 14806 |
SAN BERNADIN | 0.2 | 2.5 | 0.3 | 2.2 | 375968 |
SAN DIEGO | 0.1 | 2.2 | 0.1 | 1.9 | 759190 |
SAN FRANCISC | 0.5 | 2.4 | 0.6 | 2.3 | 760465 |
SAN JOAQUIN | 0.3 | 1.8 | 0.3 | 1.7 | 221677 |
SAN LUIS OBI | 0.3 | 1.9 | 0.4 | 1.7 | 64006 |
SAN MATEO | 0.3 | 2.1 | 0.4 | 1.9 | 324371 |
SANTA BARBAR | 0.1 | 2.0 | 0.2 | 1.8 | 128286 |
SANTA CLARA | 0.3 | 2.0 | 0.4 | 1.9 | 440051 |
SANTA CRUZ | 0.5 | 2.3 | 0.6 | 2.1 | 74049 |
SHASTA | 0.6 | 1.9 | 0.7 | 1.8 | 46213 |
SIERRA | 0.6 | 2.4 | 0.7 | 2.3 | 2342 |
SISKIYOU | 0.7 | 2.4 | 0.8 | 2.3 | 31647 |
SOLANO | 0.4 | 2.2 | 0.5 | 2.1 | 117487 |
SONOMA | 0.8 | 3.3 | 1.0 | 3.1 | 122095 |
STANISLAUS | 0.3 | 1.9 | 0.4 | 1.8 | 140011 |
SUTTER | 0.4 | 2.2 | 0.5 | 2.1 | 29274 |
TEHAMA | 0.8 | 3.4 | 1.0 | 3.2 | 21840 |
TRINITY | 0.7 | 1.9 | 0.8 | 1.8 | 7049 |
TULARE | 0.2 | 1.9 | 0.3 | 1.8 | 157398 |
TUOLUMNE | 0.5 | 2.0 | 0.6 | 1.8 | 13357 |
VENTURA | 0.1 | 2.4 | 0.1 | 2.1 | 150555 |
YOLO | 0.4 | 2.5 | 0.5 | 2.3 | 51306 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAMS | 2.5 | 2.1 | 3.4 | 1.9 | 74260 |
ALAMOSA | 3.1 | 2.5 | 4.0 | 2.3 | 10305 |
ARAPAHOE | 2.7 | 2.1 | 3.5 | 1.9 | 89616 |
ARCHULETA | 4.9 | 2.6 | 6.2 | 2.4 | 2861 |
BACA | 2.7 | 1.8 | 3.4 | 1.7 | 7258 |
BENT | 2.3 | 1.9 | 2.9 | 1.7 | 8200 |
BOULDER | 3.2 | 2.1 | 4.1 | 2.0 | 59327 |
CHAFFEE | 3.1 | 1.9 | 3.9 | 1.8 | 7649 |
CHEYENNE | 2.9 | 1.9 | 3.7 | 1.8 | 3176 |
CLEAR CREEK | 3.5 | 2.0 | 4.6 | 1.8 | 3079 |
CONEJOS | 5.9 | 3.2 | 7.3 | 3.0 | 9428 |
COSTILLA | 3.2 | 2.4 | 4.1 | 2.2 | 5278 |
CROWLEY | 2.3 | 1.9 | 3.0 | 1.8 | 4696 |
CUSTER | 3.3 | 1.9 | 4.1 | 1.8 | 1460 |
DELTA | 2.6 | 1.9 | 3.4 | 1.7 | 16617 |
DENVER | 2.5 | 1.6 | 3.3 | 1.5 | 457536 |
DOLORES | 2.3 | 2.1 | 2.9 | 1.9 | 2066 |
DOUGLAS | 3.5 | 2.0 | 4.5 | 1.8 | 4063 |
EAGLE | 4.4 | 2.4 | 5.6 | 2.2 | 4567 |
ELBERT | 3.2 | 1.8 | 3.9 | 1.7 | 4150 |
EL PASO | 3.4 | 1.7 | 4.3 | 1.6 | 103940 |
FREMONT | 3.1 | 1.9 | 3.9 | 1.7 | 19145 |
GARFIELD | 3.2 | 1.8 | 4.1 | 1.7 | 11791 |
GILPIN | 3.0 | 2.1 | 3.9 | 1.9 | 781 |
GRAND | 4.5 | 2.4 | 5.7 | 2.2 | 3789 |
GUNNISON | 7.1 | 4.0 | 9.1 | 3.7 | 5613 |
HINSDALE | 5.3 | 2.5 | 6.6 | 2.3 | 238 |
HUERFANO | 2.8 | 2.0 | 3.5 | 1.9 | 9411 |
JACKSON | 2.8 | 1.9 | 3.5 | 1.8 | 1884 |
JEFFERSON | 3.1 | 2.5 | 4.1 | 2.3 | 86219 |
KIOWA | 3.3 | 2.1 | 4.2 | 1.9 | 2757 |
KIT CARSON | 2.8 | 2.5 | 3.5 | 2.3 | 7907 |
LAKE | 3.8 | 2.6 | 5.0 | 2.4 | 6551 |
LA PLATA | 2.3 | 2.4 | 3.0 | 2.2 | 16728 |
LARIMER | 3.0 | 2.3 | 3.7 | 2.1 | 47718 |
LAS ANIMAS | 2.9 | 1.9 | 3.7 | 1.7 | 23392 |
LINCOLN | 3.1 | 2.0 | 3.9 | 1.9 | 5654 |
LOGAN | 3.2 | 2.4 | 3.9 | 2.2 | 18512 |
MESA | 3.5 | 2.0 | 4.6 | 1.8 | 43967 |
MINERAL | 4.8 | 2.6 | 6.1 | 2.4 | 580 |
MOFFAT | 2.1 | 1.7 | 2.7 | 1.6 | 6418 |
MONTEZUMA | 1.9 | 2.0 | 2.5 | 1.8 | 11705 |
MONTROSE | 2.9 | 2.0 | 3.7 | 1.8 | 16525 |
MORGAN | 3.1 | 2.2 | 4.0 | 2.0 | 19396 |
OTERO | 2.3 | 1.9 | 2.9 | 1.7 | 24787 |
OURAY | 2.2 | 2.1 | 2.8 | 2.0 | 1891 |
PARK | 3.0 | 1.8 | 3.8 | 1.6 | 1847 |
PHILLIPS | 3.0 | 2.6 | 3.8 | 2.4 | 4718 |
PITKIN | 4.5 | 3.3 | 5.8 | 3.1 | 1954 |
PROWERS | 2.4 | 1.8 | 3.1 | 1.7 | 14182 |
PUEBLO | 2.8 | 2.0 | 3.5 | 1.9 | 102311 |
RIO BLANCO | 2.3 | 1.7 | 3.0 | 1.6 | 4903 |
RIO GRANDE | 3.6 | 2.7 | 4.6 | 2.5 | 12121 |
ROUTT | 3.8 | 1.9 | 4.7 | 1.8 | 7650 |
SAGUACHE | 5.0 | 2.3 | 6.2 | 2.1 | 5157 |
SAN JUAN | 2.4 | 2.0 | 3.0 | 1.9 | 1211 |
SAN MIGUEL | 2.4 | 2.1 | 3.0 | 2.0 | 2800 |
SEDGWICK | 3.6 | 2.4 | 4.5 | 2.3 | 4728 |
SUMMIT | 3.8 | 2.4 | 4.9 | 2.2 | 1535 |
TELLER | 3.1 | 1.8 | 3.9 | 1.7 | 2644 |
WASHINGTON | 3.0 | 2.1 | 3.7 | 1.9 | 7139 |
WELD | 2.7 | 2.8 | 3.4 | 2.5 | 69565 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
FAIRFIELD | 2.8 | 1.9 | 3.3 | 1.8 | 567774 |
HARTFORD | 3.1 | 2.1 | 3.5 | 2.0 | 603367 |
LITCHFIELD | 3.0 | 2.1 | 3.5 | 2.0 | 107794 |
MIDDLESEX | 3.2 | 2.1 | 3.7 | 2.0 | 76485 |
NEW HAVEN | 3.2 | 2.0 | 3.7 | 1.9 | 594458 |
NEW LONDON | 2.9 | 2.0 | 3.4 | 1.9 | 162215 |
TOLLAND | 3.0 | 2.1 | 3.5 | 2.0 | 54921 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
KENT | 2.0 | 1.9 | 2.4 | 1.8 | 49679 |
CASTLE | 2.0 | 1.9 | 2.4 | 1.8 | 256525 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ALACHUA | 0.5 | 1.8 | 0.7 | 1.6 | 64273 |
BAKER | 0.4 | 1.9 | 0.6 | 1.7 | 6760 |
BAY | 0.4 | 1.8 | 0.6 | 1.6 | 53079 |
BRADFORD | 0.4 | 1.8 | 0.5 | 1.6 | 11878 |
BREVARD | 0.5 | 1.9 | 0.7 | 1.7 | 60960 |
BROWARD | 0.3 | 1.8 | 0.5 | 1.6 | 190191 |
CALHOUN | 0.4 | 1.8 | 0.6 | 1.6 | 7712 |
CHARLOTTE | 0.3 | 1.8 | 0.5 | 1.6 | 7817 |
CITRUS | 0.5 | 1.8 | 0.7 | 1.6 | 7453 |
CLAY | 0.4 | 1.8 | 0.6 | 1.6 | 16537 |
COLLIER | 0.5 | 1.8 | 0.7 | 1.6 | 10424 |
COLUMBIA | 0.4 | 1.9 | 0.6 | 1.7 | 19008 |
DADE | 0.3 | 1.8 | 0.5 | 1.6 | 682067 |
DE SOTO | 0.3 | 1.8 | 0.5 | 1.6 | 10281 |
DIXIE | 0.4 | 1.8 | 0.7 | 1.6 | 4160 |
DUVAL | 0.3 | 1.7 | 0.5 | 1.5 | 368369 |
ESCAMBIA | 0.4 | 2.0 | 0.7 | 1.8 | 138684 |
FLAGLER | 0.5 | 1.9 | 0.7 | 1.7 | 3878 |
FRANKLIN | 0.4 | 1.8 | 0.6 | 1.6 | 6140 |
GADSDEN | 0.4 | 1.7 | 0.7 | 1.5 | 38805 |
GILCHRIST | 0.5 | 1.8 | 0.7 | 1.6 | 3234 |
GLADES | 0.3 | 1.8 | 0.5 | 1.6 | 2519 |
GULF | 0.5 | 1.8 | 0.7 | 1.6 | 8515 |
HAMILTON | 0.4 | 1.8 | 0.6 | 1.6 | 8436 |
HARDEE | 0.3 | 1.8 | 0.4 | 1.6 | 11049 |
HENDRY | 0.4 | 1.8 | 0.6 | 1.6 | 6928 |
HERNANDO | 0.5 | 1.9 | 0.7 | 1.7 | 8614 |
HIGHLANDS | 0.4 | 1.8 | 0.5 | 1.6 | 16911 |
HILLSBOROUGH | 0.6 | 2.2 | 0.9 | 1.9 | 312748 |
HOLMES | 0.5 | 1.8 | 0.7 | 1.6 | 12655 |
INDIAN RIVER | 0.3 | 1.8 | 0.5 | 1.6 | 17585 |
JACKSON | 0.4 | 1.7 | 0.6 | 1.6 | 35312 |
JEFFERSON | 0.4 | 1.8 | 0.7 | 1.6 | 10045 |
LAFAYETTE | 0.4 | 1.7 | 0.6 | 1.6 | 3205 |
LAKE | 0.6 | 1.8 | 0.8 | 1.6 | 45284 |
LEE | 0.3 | 1.8 | 0.5 | 1.6 | 36636 |
LEON | 0.5 | 1.9 | 0.7 | 1.7 | 61208 |
LEVY | 0.3 | 1.8 | 0.5 | 1.6 | 10519 |
LIBERTY | 0.4 | 1.7 | 0.6 | 1.5 | 3162 |
MADISON | 0.5 | 1.9 | 0.7 | 1.7 | 14178 |
MANATEE | 0.3 | 1.8 | 0.5 | 1.6 | 49350 |
MARION | 0.5 | 1.8 | 0.7 | 1.6 | 43898 |
MARTIN | 0.3 | 1.8 | 0.5 | 1.6 | 11687 |
MONROE | 0.4 | 1.8 | 0.5 | 1.6 | 37590 |
NASSAU | 0.5 | 1.8 | 0.7 | 1.6 | 14676 |
OKALOOSA | 0.5 | 2.6 | 0.7 | 2.2 | 41833 |
OKEECHOBEE | 0.4 | 1.8 | 0.5 | 1.6 | 4715 |
ORANGE | 0.5 | 1.8 | 0.7 | 1.6 | 178105 |
OSCEOLA | 0.4 | 1.8 | 0.6 | 1.6 | 14647 |
PALM BEACH | 0.4 | 1.8 | 0.6 | 1.6 | 162889 |
PASCO | 0.4 | 1.8 | 0.6 | 1.6 | 27444 |
PINELLAS | 0.5 | 1.8 | 0.7 | 1.6 | 250803 |
POLK | 0.6 | 1.8 | 0.8 | 1.6 | 154234 |
PUTNAM | 0.4 | 1.8 | 0.7 | 1.6 | 27266 |
ST JOHNS | 0.5 | 2.0 | 0.7 | 1.7 | 27141 |
ST LUCIE | 0.4 | 1.9 | 0.5 | 1.7 | 28303 |
SANTA ROSA | 0.5 | 2.0 | 0.7 | 1.8 | 23227 |
SARASOTA | 0.4 | 1.8 | 0.6 | 1.6 | 49261 |
SEMINOLE | 0.5 | 1.9 | 0.7 | 1.7 | 38815 |
SUMTER | 0.5 | 1.8 | 0.7 | 1.6 | 11562 |
SUWANNEE | 0.5 | 1.8 | 0.7 | 1.6 | 16126 |
TAYLOR | 0.4 | 1.8 | 0.6 | 1.6 | 11589 |
UNION | 0.4 | 1.9 | 0.6 | 1.7 | 7688 |
VOLUSIA | 0.5 | 1.8 | 0.7 | 1.6 | 95942 |
WAKULLA | 0.4 | 1.8 | 0.6 | 1.6 | 5255 |
WALTON | 0.4 | 1.7 | 0.6 | 1.5 | 15089 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
APPLING | 1.3 | 1.7 | 1.7 | 1.6 | 13688 |
ATKINSON | 1.3 | 1.7 | 1.7 | 1.6 | 6864 |
BACON | 1.4 | 1.9 | 1.8 | 1.7 | 8693 |
BAKER | 1.3 | 1.7 | 1.7 | 1.6 | 5353 |
BALDWIN | 1.3 | 1.7 | 1.7 | 1.6 | 31556 |
BANKS | 1.5 | 1.7 | 1.9 | 1.6 | 6750 |
BARROW | 1.2 | 1.7 | 1.5 | 1.6 | 13701 |
BARTOW | 1.4 | 1.7 | 1.7 | 1.6 | 27750 |
BEN HILL | 1.2 | 1.7 | 1.5 | 1.6 | 14344 |
BERRIEN | 1.3 | 1.7 | 1.7 | 1.6 | 13147 |
BIBB | 1.2 | 1.8 | 1.5 | 1.7 | 125628 |
BLECKLEY | 1.3 | 1.7 | 1.6 | 1.5 | 9399 |
BRANTLEY | 1.3 | 1.8 | 1.6 | 1.7 | 6174 |
BROOKS | 1.0 | 1.7 | 1.3 | 1.6 | 16949 |
BRYAN | 1.5 | 1.7 | 1.9 | 1.6 | 6071 |
BULLOCH | 1.4 | 1.7 | 1.8 | 1.6 | 24533 |
BURKE | 1.4 | 1.8 | 1.7 | 1.7 | 22240 |
BUTTS | 1.2 | 1.7 | 1.5 | 1.6 | 9034 |
CALHOUN | 1.2 | 1.7 | 1.5 | 1.6 | 8052 |
CAMDEN | 1.3 | 1.8 | 1.7 | 1.6 | 8451 |
CANDLER | 1.2 | 1.7 | 1.5 | 1.6 | 7475 |
CARROLL | 1.4 | 1.7 | 1.8 | 1.6 | 35112 |
CATOOSA | 1.3 | 1.7 | 1.6 | 1.6 | 17678 |
CHARLTON | 1.3 | 1.8 | 1.6 | 1.7 | 5029 |
CHATHAM | 1.3 | 1.7 | 1.7 | 1.6 | 167129 |
CHATTAHOOCHE | 1.1 | 1.8 | 1.5 | 1.6 | 12563 |
CHATTOOGA | 1.2 | 1.7 | 1.5 | 1.5 | 20674 |
CHEROKEE | 1.3 | 1.7 | 1.6 | 1.5 | 21706 |
CLARKE | 1.3 | 1.7 | 1.6 | 1.6 | 40297 |
CLAY | 1.2 | 1.8 | 1.6 | 1.7 | 5297 |
CLAYTON | 1.2 | 1.7 | 1.5 | 1.6 | 32859 |
CLINCH | 1.2 | 1.8 | 1.6 | 1.7 | 6236 |
COBB | 1.2 | 1.7 | 1.5 | 1.6 | 84077 |
COFFEE | 1.1 | 1.9 | 1.5 | 1.8 | 23107 |
COLQUITT | 1.4 | 1.8 | 1.7 | 1.7 | 34025 |
COLUMBIA | 1.1 | 1.7 | 1.4 | 1.6 | 11182 |
COOK | 1.2 | 1.7 | 1.5 | 1.6 | 12040 |
COWETA | 1.2 | 1.7 | 1.5 | 1.6 | 28258 |
CRAWFORD | 1.2 | 1.7 | 1.5 | 1.6 | 5971 |
CRISP | 1.1 | 1.8 | 1.4 | 1.6 | 17709 |
DADE | 1.3 | 1.7 | 1.6 | 1.6 | 7918 |
DAWSON | 1.3 | 1.7 | 1.6 | 1.6 | 3659 |
DECATUR | 1.1 | 1.7 | 1.4 | 1.6 | 24297 |
DE KALB | 1.2 | 1.7 | 1.5 | 1.5 | 187559 |
DODGE | 1.1 | 1.7 | 1.4 | 1.6 | 17280 |
DOOLY | 1.1 | 1.8 | 1.4 | 1.6 | 13019 |
DOUGHERTY | 1.1 | 1.8 | 1.5 | 1.6 | 57245 |
DOUGLAS | 1.2 | 1.7 | 1.5 | 1.6 | 14116 |
EARLY | 1.2 | 1.7 | 1.5 | 1.6 | 15601 |
ECHOLS | 1.1 | 1.8 | 1.4 | 1.6 | 2234 |
EFFINGHAM | 1.6 | 1.7 | 2.0 | 1.6 | 9565 |
ELBERT | 1.1 | 1.7 | 1.5 | 1.6 | 18266 |
EMANUEL | 1.2 | 1.7 | 1.5 | 1.6 | 18949 |
EVANS | 1.6 | 1.7 | 2.0 | 1.6 | 6776 |
FANNIN | 1.6 | 1.7 | 2.0 | 1.6 | 14526 |
FAYETTE | 1.2 | 1.7 | 1.5 | 1.6 | 8070 |
FLOYD | 1.5 | 1.7 | 1.9 | 1.6 | 65551 |
FORSYTH | 1.3 | 1.7 | 1.6 | 1.6 | 11506 |
FRANKLIN | 1.3 | 1.8 | 1.7 | 1.6 | 13948 |
FULTON | 1.0 | 1.7 | 1.3 | 1.6 | 508744 |
GILMER | 1.5 | 1.7 | 1.9 | 1.6 | 9521 |
GLASCOCK | 1.3 | 1.8 | 1.6 | 1.7 | 3192 |
GLYNN | 1.3 | 1.7 | 1.7 | 1.6 | 34530 |
GORDON | 1.5 | 1.7 | 1.9 | 1.6 | 19051 |
GRADY | 1.2 | 1.7 | 1.5 | 1.6 | 18543 |
GREENE | 1.4 | 1.7 | 1.8 | 1.6 | 12141 |
GWINNETT | 1.2 | 1.7 | 1.5 | 1.6 | 37086 |
HABERSHAM | 1.3 | 1.9 | 1.6 | 1.7 | 17218 |
HALL | 1.3 | 1.7 | 1.6 | 1.6 | 44205 |
HANCOCK | 1.3 | 1.7 | 1.6 | 1.6 | 10597 |
HARALSON | 1.3 | 1.7 | 1.6 | 1.6 | 14609 |
HARRIS | 1.2 | 1.7 | 1.5 | 1.6 | 11225 |
HART | 1.3 | 1.7 | 1.6 | 1.6 | 14811 |
HEARD | 1.1 | 1.7 | 1.4 | 1.6 | 6279 |
HENRY | 1.3 | 1.7 | 1.6 | 1.6 | 16606 |
HOUSTON | 1.2 | 1.7 | 1.5 | 1.6 | 28697 |
IRWIN | 1.2 | 1.7 | 1.5 | 1.6 | 10801 |
JACKSON | 1.3 | 1.7 | 1.6 | 1.6 | 18783 |
JASPER | 1.1 | 1.7 | 1.4 | 1.6 | 6900 |
JEFF DAVIS | 1.4 | 1.9 | 1.8 | 1.7 | 9136 |
JEFFERSON | 1.5 | 2.0 | 1.9 | 1.8 | 18267 |
JENKINS | 1.5 | 1.8 | 1.9 | 1.7 | 9795 |
JOHNSON | 1.4 | 1.9 | 1.8 | 1.8 | 9107 |
JONES | 1.1 | 1.7 | 1.5 | 1.6 | 7933 |
LAMAR | 1.2 | 1.8 | 1.6 | 1.6 | 10245 |
LANIER | 1.3 | 1.9 | 1.6 | 1.7 | 5133 |
LAURENS | 1.1 | 1.7 | 1.3 | 1.6 | 32779 |
LEE | 1.2 | 1.7 | 1.5 | 1.6 | 6475 |
LIBERTY | 1.5 | 1.8 | 1.9 | 1.6 | 11017 |
LINCOLN | 1.2 | 1.7 | 1.5 | 1.6 | 6226 |
LONG | 1.3 | 1.8 | 1.7 | 1.6 | 3717 |
LOWNDES | 1.2 | 1.9 | 1.5 | 1.7 | 41185 |
LUMPKIN | 1.5 | 1.7 | 1.9 | 1.6 | 6857 |
MCDUFFIE | 1.2 | 1.8 | 1.6 | 1.6 | 11950 |
MCINTOSH | 1.3 | 1.8 | 1.6 | 1.7 | 6158 |
MACON | 0.9 | 1.7 | 1.1 | 1.6 | 13770 |
MADISON | 1.4 | 1.7 | 1.8 | 1.6 | 11815 |
MARION | 1.1 | 1.7 | 1.4 | 1.6 | 6078 |
MERIWETHER | 1.2 | 1.7 | 1.5 | 1.6 | 20507 |
MILLER | 1.1 | 1.7 | 1.4 | 1.6 | 8123 |
MITCHELL | 1.2 | 1.8 | 1.5 | 1.7 | 21308 |
MONROE | 1.3 | 1.7 | 1.6 | 1.6 | 10514 |
MONTGOMERY | 1.2 | 1.7 | 1.5 | 1.6 | 7214 |
MORGAN | 1.4 | 1.7 | 1.8 | 1.6 | 11210 |
MURRAY | 1.4 | 1.7 | 1.8 | 1.6 | 10580 |
NEWTON | 1.2 | 1.7 | 1.5 | 1.6 | 20536 |
OCONEE | 1.4 | 1.7 | 1.8 | 1.6 | 6711 |
OGLETHORPE | 1.3 | 1.7 | 1.6 | 1.6 | 9101 |
PAULDING | 1.4 | 1.7 | 1.8 | 1.6 | 12326 |
PEACH | 1.2 | 1.7 | 1.5 | 1.6 | 12613 |
PICKENS | 1.3 | 1.7 | 1.6 | 1.6 | 8877 |
PIERCE | 1.3 | 1.7 | 1.7 | 1.6 | 10503 |
PIKE | 1.2 | 1.7 | 1.5 | 1.6 | 7900 |
POLK | 1.1 | 1.6 | 1.4 | 1.5 | 29721 |
PULASKI | 1.2 | 1.7 | 1.5 | 1.6 | 8552 |
PUTNAM | 1.1 | 1.7 | 1.4 | 1.6 | 7763 |
QUITMAN | 1.2 | 1.7 | 1.5 | 1.6 | 2765 |
RABUN | 2.0 | 1.9 | 2.6 | 1.7 | 7439 |
RANDOLPH | 1.3 | 1.8 | 1.7 | 1.6 | 12647 |
RICHMOND | 1.3 | 1.8 | 1.6 | 1.7 | 120231 |
ROCKDALE | 1.1 | 1.7 | 1.4 | 1.5 | 9363 |
SCHLEY | 1.3 | 1.7 | 1.7 | 1.6 | 3703 |
SCREVEN | 1.5 | 1.8 | 1.9 | 1.6 | 16693 |
SEMINOLE | 1.0 | 1.7 | 1.2 | 1.6 | 7436 |
SPALDING | 1.2 | 1.8 | 1.6 | 1.6 | 32895 |
STEPHENS | 1.4 | 1.7 | 1.8 | 1.6 | 17389 |
STEWART | 1.1 | 1.7 | 1.4 | 1.6 | 8420 |
SUMTER | 1.2 | 1.7 | 1.5 | 1.6 | 24395 |
TALBOT | 1.1 | 1.7 | 1.4 | 1.6 | 7450 |
TALIAFERRO | 1.3 | 1.7 | 1.7 | 1.6 | 4029 |
TATTNALL | 1.6 | 1.7 | 2.0 | 1.6 | 15896 |
TAYLOR | 1.1 | 1.8 | 1.4 | 1.6 | 8770 |
TELFAIR | 1.2 | 1.7 | 1.5 | 1.6 | 12583 |
TERRELL | 1.3 | 1.7 | 1.7 | 1.6 | 13645 |
THOMAS | 1.2 | 1.8 | 1.6 | 1.6 | 34098 |
TIFT | 1.2 | 1.7 | 1.5 | 1.6 | 23005 |
TOOMBS | 1.3 | 1.8 | 1.7 | 1.6 | 17153 |
TOWNS | 1.8 | 1.9 | 2.2 | 1.7 | 4692 |
TREUTLEN | 1.0 | 1.7 | 1.3 | 1.5 | 6247 |
TROUP | 1.4 | 1.7 | 1.8 | 1.6 | 48719 |
TURNER | 1.2 | 1.7 | 1.5 | 1.6 | 9613 |
TWIGGS | 1.3 | 1.7 | 1.7 | 1.6 | 8152 |
UNION | 1.7 | 1.7 | 2.2 | 1.6 | 6976 |
UPSON | 1.1 | 1.7 | 1.4 | 1.6 | 24538 |
WALKER | 1.3 | 1.7 | 1.6 | 1.6 | 41196 |
WALTON | 1.2 | 1.7 | 1.5 | 1.6 | 20339 |
WARE | 1.2 | 1.8 | 1.5 | 1.7 | 31967 |
WARREN | 1.3 | 1.7 | 1.7 | 1.6 | 8178 |
WASHINGTON | 1.4 | 1.9 | 1.8 | 1.8 | 20117 |
WAYNE | 1.4 | 1.9 | 1.8 | 1.7 | 15812 |
WEBSTER | 1.3 | 1.7 | 1.7 | 1.6 | 3727 |
WHEELER | 1.3 | 1.8 | 1.7 | 1.6 | 6127 |
WHITE | 1.6 | 1.7 | 2.0 | 1.6 | 6372 |
WHITFIELD | 1.1 | 1.7 | 1.5 | 1.6 | 37693 |
WILCOX | 1.2 | 1.8 | 1.5 | 1.6 | 9206 |
WILKES | 1.2 | 1.7 | 1.5 | 1.6 | 11783 |
WILKINSON | 1.3 | 1.7 | 1.7 | 1.6 | 9558 |
WORTH | 1.3 | 2.0 | 1.6 | 1.8 | 18221 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADA | 3.3 | 2.1 | 3.8 | 2.0 | 80347 |
ADAMS | 5.0 | 2.0 | 5.7 | 1.9 | 3193 |
BANNOCK | 2.8 | 1.8 | 3.1 | 1.7 | 44973 |
BEAR LAKE | 3.1 | 1.9 | 3.7 | 1.8 | 6971 |
BENEWAH | 3.3 | 2.7 | 3.8 | 2.6 | 6116 |
BINGHAM | 1.5 | 1.8 | 1.7 | 1.7 | 25376 |
BLAINE | 11.5 | 4.0 | 13.4 | 3.8 | 5050 |
BOISE | 5.5 | 2.6 | 6.4 | 2.5 | 1721 |
BONNER | 2.9 | 2.1 | 3.3 | 2.0 | 15164 |
BONNEVILLE | 2.4 | 1.8 | 2.7 | 1.7 | 37306 |
BOUNDARY | 2.7 | 2.2 | 3.1 | 2.1 | 5868 |
BUTTE | 5.3 | 3.0 | 6.1 | 2.8 | 3053 |
CAMAS | 5.8 | 2.9 | 6.6 | 2.8 | 1013 |
CANYON | 1.7 | 1.9 | 2.0 | 1.8 | 55326 |
CARIBOU | 2.8 | 1.8 | 3.2 | 1.7 | 5748 |
CASSIA | 3.3 | 1.9 | 3.8 | 1.8 | 15261 |
CLARK | 5.4 | 1.9 | 6.2 | 1.8 | 921 |
CLEARWATER | 4.9 | 3.3 | 5.7 | 3.1 | 8357 |
CUSTER | 13.5 | 4.0 | 15.7 | 3.9 | 3182 |
ELMORE | 4.3 | 2.4 | 5.0 | 2.2 | 10950 |
FRANKLIN | 3.0 | 1.8 | 3.6 | 1.7 | 9264 |
FREMONT | 6.2 | 2.1 | 7.0 | 2.0 | 9067 |
GEM | 13.3 | 4.1 | 15.4 | 3.9 | 8899 |
GOODING | 4.6 | 2.3 | 5.3 | 2.1 | 10443 |
IDAHO | 8.2 | 3.6 | 9.4 | 3.5 | 12322 |
JEFFERSON | 5.5 | 3.3 | 6.3 | 3.1 | 10996 |
JEROME | 3.1 | 2.1 | 3.5 | 2.0 | 11925 |
KOOTENAI | 2.7 | 2.1 | 3.1 | 2.0 | 26905 |
LATAH | 3.9 | 2.8 | 4.4 | 2.7 | 21053 |
LEMHI | 11.3 | 3.6 | 13.0 | 3.5 | 6082 |
LEWIS | 4.1 | 3.3 | 4.7 | 3.1 | 4298 |
LINCOLN | 5.2 | 2.3 | 5.9 | 2.2 | 4013 |
MADISON | 4.6 | 2.8 | 5.3 | 2.6 | 9267 |
MINIDOKA | 2.6 | 2.0 | 3.0 | 1.9 | 11743 |
NEZ PERCE | 3.8 | 3.1 | 4.3 | 3.0 | 24534 |
ONEIDA | 2.8 | 1.8 | 3.3 | 1.7 | 4050 |
OWYHEE | 5.2 | 2.3 | 5.9 | 2.2 | 6338 |
PAYETTE | 5.3 | 2.4 | 6.0 | 2.3 | 12108 |
POWER | 2.1 | 1.7 | 2.5 | 1.7 | 4044 |
SHOSHONE | 3.6 | 2.8 | 4.2 | 2.7 | 21990 |
TETON | 5.3 | 2.3 | 6.1 | 2.1 | 2962 |
TWIN FALLS | 3.2 | 2.0 | 3.7 | 1.9 | 41346 |
VALLEY | 6.5 | 3.2 | 7.8 | 3.0 | 4017 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAMS | 5.6 | 3.0 | 6.5 | 2.8 | 66300 |
ALEXANDER | 3.3 | 1.9 | 3.8 | 1.8 | 18507 |
BOND | 2.6 | 2.8 | 3.1 | 2.7 | 14116 |
BOONE | 2.5 | 4.2 | 2.9 | 4.0 | 18453 |
BROWN | 3.9 | 3.3 | 4.5 | 3.2 | 6742 |
BUREAU | 3.7 | 2.0 | 4.2 | 1.9 | 37659 |
CALHOUN | 3.3 | 2.6 | 3.9 | 2.5 | 6487 |
CARROLL | 3.2 | 2.0 | 3.8 | 1.9 | 19201 |
CASS | 4.4 | 3.1 | 5.1 | 2.9 | 14860 |
CHAMPAIGN | 1.9 | 4.3 | 2.3 | 4.0 | 117294 |
CHRISTIAN | 5.3 | 2.9 | 6.1 | 2.8 | 38133 |
CLARK | 1.3 | 5.1 | 1.6 | 4.8 | 17018 |
CLAY | 3.5 | 3.1 | 4.1 | 3.0 | 16751 |
CLINTON | 3.5 | 1.9 | 4.1 | 1.8 | 23202 |
COLES | 3.1 | 3.3 | 3.6 | 3.2 | 41404 |
COOK | 1.9 | 2.6 | 2.2 | 2.4 | 4772685 |
CRAWFORD | 4.5 | 2.1 | 5.1 | 2.0 | 20972 |
CUMBERLAND | 1.8 | 3.9 | 2.1 | 3.7 | 10256 |
DE KALB | 3.7 | 2.5 | 4.3 | 2.4 | 45428 |
DE WITT | 2.7 | 4.1 | 3.2 | 3.9 | 17045 |
DOUGLAS | 3.0 | 3.3 | 3.5 | 3.1 | 17786 |
DU PAGE | 2.9 | 2.4 | 3.4 | 2.3 | 222116 |
EDGAR | 2.2 | 3.6 | 2.6 | 3.4 | 23044 |
EDWARDS | 3.8 | 1.9 | 4.4 | 1.8 | 8579 |
EFFINGHAM | 3.3 | 3.3 | 3.8 | 3.1 | 22285 |
FAYETTE | 2.2 | 3.0 | 2.6 | 2.8 | 23464 |
FORD | 3.1 | 2.8 | 3.6 | 2.6 | 16202 |
FRANKLIN | 2.8 | 1.9 | 3.2 | 1.8 | 44694 |
FULTON | 2.9 | 4.1 | 3.5 | 3.9 | 42963 |
GALLATIN | 3.1 | 2.3 | 3.6 | 2.2 | 8897 |
GREENE | 3.1 | 3.4 | 3.6 | 3.2 | 18260 |
GRUNDY | 3.6 | 2.3 | 4.1 | 2.2 | 20547 |
HAMILTON | 2.6 | 1.8 | 3.0 | 1.7 | 11306 |
HANCOCK | 6.5 | 3.0 | 7.5 | 2.9 | 25273 |
HARDIN | 2.5 | 1.7 | 3.0 | 1.7 | 6830 |
HENDERSON | 3.7 | 3.8 | 4.4 | 3.6 | 8343 |
HENRY | 3.2 | 3.9 | 3.8 | 3.7 | 47690 |
IROQUOIS | 3.0 | 2.5 | 3.5 | 2.4 | 32863 |
JACKSON | 3.5 | 2.3 | 4.1 | 2.1 | 39834 |
JASPER | 2.9 | 4.1 | 3.4 | 3.9 | 11878 |
JEFFERSON | 3.4 | 2.8 | 3.9 | 2.7 | 34377 |
JERSEY | 3.3 | 2.6 | 3.9 | 2.5 | 16013 |
JO DAVIESS | 4.6 | 2.4 | 5.3 | 2.3 | 21611 |
JOHNSON | 2.8 | 2.0 | 3.2 | 1.9 | 7964 |
KANE | 3.7 | 2.2 | 4.3 | 2.1 | 174978 |
KANKAKEE | 3.2 | 2.4 | 3.7 | 2.3 | 81402 |
KENDALL | 2.7 | 2.1 | 3.1 | 2.0 | 14420 |
KNOX | 2.8 | 4.5 | 3.3 | 4.3 | 57302 |
LAKE | 3.2 | 2.2 | 3.7 | 2.1 | 227787 |
LA SALLE | 4.6 | 2.0 | 5.4 | 1.9 | 104940 |
LAWRENCE | 3.2 | 2.4 | 3.7 | 2.3 | 19689 |
LEE | 4.6 | 2.1 | 5.2 | 2.0 | 37430 |
LIVINGSTON | 3.5 | 2.3 | 4.1 | 2.1 | 38887 |
LOGAN | 5.7 | 2.8 | 6.6 | 2.6 | 31939 |
MCDONOUGH | 3.5 | 4.0 | 4.1 | 3.8 | 28507 |
MCHENRY | 3.2 | 2.2 | 3.7 | 2.1 | 64912 |
MCLEAN | 2.5 | 4.1 | 3.0 | 3.9 | 79677 |
MACON | 4.8 | 2.9 | 5.5 | 2.7 | 107100 |
MACOUPIN | 2.8 | 3.6 | 3.3 | 3.4 | 43909 |
MADISON | 3.5 | 2.0 | 4.0 | 1.9 | 200321 |
MARION | 3.0 | 1.9 | 3.4 | 1.8 | 40698 |
MARSHALL | 1.7 | 5.5 | 2.2 | 5.2 | 13152 |
MASON | 2.9 | 4.0 | 3.4 | 3.8 | 15270 |
MASSAC | 2.9 | 1.9 | 3.3 | 1.8 | 13912 |
MENARD | 3.6 | 3.2 | 4.1 | 3.0 | 9478 |
MERCER | 2.7 | 4.2 | 3.2 | 4.0 | 17280 |
MONROE | 3.6 | 2.3 | 4.1 | 2.2 | 14227 |
MONTGOMERY | 3.4 | 3.4 | 3.9 | 3.2 | 31941 |
MORGAN | 4.3 | 3.0 | 5.0 | 2.9 | 35995 |
MOULTRIE | 3.4 | 3.4 | 3.9 | 3.2 | 13372 |
OGLE | 4.8 | 2.4 | 5.6 | 2.2 | 35416 |
PEORIA | 3.5 | 3.9 | 4.1 | 3.7 | 180596 |
PERRY | 2.9 | 2.3 | 3.3 | 2.2 | 20620 |
PIATT | 3.6 | 3.2 | 4.1 | 3.0 | 14394 |
PIKE | 6.6 | 2.8 | 7.6 | 2.7 | 21469 |
POPE | 3.0 | 2.0 | 3.5 | 1.9 | 5052 |
PULASKI | 3.2 | 1.9 | 3.7 | 1.8 | 12302 |
PUTNAM | 4.1 | 2.1 | 4.7 | 2.0 | 4672 |
RANDOLPH | 3.8 | 2.3 | 4.4 | 2.1 | 30958 |
RICHLAND | 3.1 | 2.7 | 3.6 | 2.5 | 16636 |
ROCK ISLAND | 2.9 | 4.0 | 3.5 | 3.7 | 140967 |
ST CLAIR | 3.4 | 1.9 | 3.9 | 1.8 | 230011 |
SALINE | 3.2 | 2.0 | 3.7 | 1.9 | 30366 |
SANGAMON | 3.9 | 3.4 | 4.6 | 3.2 | 137884 |
SCHUYLER | 2.8 | 3.6 | 3.2 | 3.5 | 9248 |
SCOTT | 4.3 | 3.0 | 5.0 | 2.9 | 6878 |
SHELBY | 3.6 | 3.4 | 4.2 | 3.2 | 24001 |
STARK | 3.2 | 3.9 | 3.8 | 3.7 | 8477 |
STEPHENSON | 4.9 | 2.2 | 5.6 | 2.1 | 43559 |
TAZEWELL | 2.2 | 4.5 | 2.6 | 4.3 | 86209 |
UNION | 3.1 | 1.9 | 3.6 | 1.8 | 19287 |
VERMILION | 2.1 | 4.1 | 2.5 | 3.9 | 90942 |
WABASH | 3.8 | 2.1 | 4.4 | 2.0 | 14398 |
WARREN | 3.8 | 3.9 | 4.4 | 3.7 | 21812 |
WASHINGTON | 3.0 | 2.0 | 3.5 | 1.9 | 14083 |
WAYNE | 3.5 | 2.3 | 4.1 | 2.1 | 20117 |
WHITE | 3.1 | 1.9 | 3.6 | 1.8 | 20269 |
WHITESIDE | 5.6 | 2.1 | 6.4 | 2.0 | 53821 |
WILL | 3.5 | 2.5 | 4.0 | 2.4 | 158684 |
WILLIAMSON | 3.0 | 1.9 | 3.4 | 1.8 | 47557 |
WINNEBAGO | 3.4 | 3.5 | 4.0 | 3.3 | 176778 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAMS | 1.7 | 4.7 | 2.0 | 4.4 | 23350 |
ALLEN | 1.6 | 5.5 | 2.0 | 5.1 | 204321 |
BARTHOLOMEW | 1.5 | 4.8 | 1.9 | 4.5 | 41249 |
BENTON | 2.8 | 2.7 | 3.3 | 2.5 | 11654 |
BLACKFORD | 1.9 | 1.8 | 2.2 | 1.7 | 14352 |
BOONE | 3.3 | 2.3 | 3.9 | 2.2 | 25504 |
BROWN | 3.5 | 2.2 | 4.0 | 2.1 | 6560 |
CARROLL | 3.1 | 3.6 | 3.6 | 3.4 | 16403 |
CASS | 2.5 | 4.8 | 3.1 | 4.5 | 39704 |
CLARK | 0.8 | 6.0 | 1.1 | 5.6 | 54483 |
CLAY | 3.6 | 1.9 | 4.2 | 1.8 | 24042 |
CLINTON | 1.0 | 5.8 | 1.3 | 5.4 | 30175 |
CRAWFORD | 2.3 | 2.8 | 2.7 | 2.6 | 8905 |
DAVIESS | 3.7 | 2.0 | 4.3 | 1.9 | 26706 |
DEARBORN | 2.3 | 2.3 | 2.6 | 2.1 | 26645 |
DECATUR | 1.9 | 3.2 | 2.2 | 3.0 | 18983 |
DE KALB | 1.9 | 2.1 | 2.2 | 2.0 | 26974 |
DELAWARE | 1.9 | 4.9 | 2.3 | 4.6 | 99043 |
DUBOIS | 2.6 | 2.8 | 3.1 | 2.7 | 25350 |
ELKHART | 2.9 | 2.0 | 3.3 | 1.9 | 93978 |
FAYETTE | 2.3 | 1.9 | 2.7 | 1.8 | 23845 |
FLOYD | 0.9 | 5.9 | 1.1 | 5.5 | 47123 |
FOUNTAIN | 3.7 | 2.4 | 4.2 | 2.3 | 18208 |
FRANKLIN | 1.9 | 4.5 | 2.2 | 4.2 | 16453 |
FULTON | 1.1 | 6.1 | 1.4 | 5.7 | 16726 |
GIBSON | 3.0 | 1.9 | 3.4 | 1.8 | 30396 |
GRANT | 1.8 | 4.7 | 2.2 | 4.4 | 67932 |
GREENE | 2.6 | 3.7 | 3.0 | 3.5 | 27222 |
HAMILTON | 1.8 | 4.7 | 2.2 | 4.4 | 33435 |
HANCOCK | 2.9 | 1.8 | 3.3 | 1.7 | 23020 |
HARRISON | 1.5 | 4.3 | 1.8 | 4.0 | 18430 |
HENDRICKS | 1.7 | 4.5 | 2.1 | 4.3 | 31524 |
HENRY | 2.2 | 4.2 | 2.7 | 4.0 | 46946 |
HOWARD | 1.8 | 4.5 | 2.2 | 4.3 | 60879 |
HUNTINGTON | 1.4 | 4.5 | 1.7 | 4.2 | 32426 |
JACKSON | 2.0 | 4.6 | 2.5 | 4.4 | 29224 |
JASPER | 4.1 | 2.6 | 4.7 | 2.5 | 17798 |
JAY | 2.1 | 1.9 | 2.5 | 1.8 | 22909 |
JEFFERSON | 1.8 | 3.0 | 2.2 | 2.8 | 22652 |
JENNINGS | 2.2 | 1.7 | 2.5 | 1.7 | 16111 |
JOHNSON | 2.5 | 1.9 | 2.9 | 1.8 | 33631 |
KNOX | 3.4 | 2.4 | 3.9 | 2.2 | 42628 |
KOSCIUSKO | 2.9 | 2.4 | 3.3 | 2.2 | 36134 |
LAGRANGE | 2.5 | 2.1 | 2.9 | 2.0 | 16210 |
LAKE | 3.1 | 2.7 | 3.6 | 2.5 | 429826 |
LA PORTE | 2.9 | 2.1 | 3.3 | 2.0 | 84588 |
LAWRENCE | 1.3 | 6.1 | 1.8 | 5.7 | 35290 |
MADISON | 1.6 | 4.8 | 1.9 | 4.5 | 113224 |
MARION | 1.9 | 4.3 | 2.3 | 4.0 | 613741 |
MARSHALL | 2.7 | 2.4 | 3.0 | 2.3 | 30733 |
MARTIN | 2.4 | 3.8 | 2.8 | 3.6 | 10648 |
MIAMI | 1.5 | 4.4 | 1.8 | 4.1 | 32369 |
MONROE | 1.1 | 6.6 | 1.3 | 6.2 | 53968 |
MONTGOMERY | 3.9 | 2.4 | 4.5 | 2.2 | 30383 |
MORGAN | 3.0 | 1.9 | 3.4 | 1.8 | 28039 |
NEWTON | 3.4 | 2.7 | 3.9 | 2.6 | 11215 |
NOBLE | 2.2 | 2.1 | 2.5 | 2.0 | 26388 |
OHIO | 1.7 | 2.4 | 1.9 | 2.2 | 4201 |
ORANGE | 2.4 | 3.7 | 2.8 | 3.5 | 16883 |
OWEN | 1.4 | 5.7 | 1.8 | 5.4 | 11616 |
PARKE | 3.5 | 2.0 | 4.0 | 1.9 | 15306 |
PERRY | 1.6 | 3.5 | 1.9 | 3.3 | 17310 |
PIKE | 3.1 | 1.9 | 3.6 | 1.8 | 14062 |
PORTER | 3.6 | 2.7 | 4.1 | 2.6 | 48666 |
POSEY | 2.0 | 3.2 | 2.4 | 3.0 | 19556 |
PULASKI | 4.4 | 2.7 | 5.0 | 2.6 | 12637 |
PUTNAM | 2.7 | 2.1 | 3.1 | 2.0 | 23790 |
RANDOLPH | 1.4 | 4.9 | 1.8 | 4.6 | 27693 |
RIPLEY | 2.3 | 2.3 | 2.7 | 2.1 | 19556 |
RUSH | 3.2 | 2.1 | 3.7 | 2.0 | 20050 |
ST JOSEPH | 1.0 | 5.8 | 1.3 | 5.4 | 219323 |
SCOTT | 1.3 | 5.0 | 1.5 | 4.7 | 12844 |
SHELBY | 1.3 | 5.0 | 1.6 | 4.7 | 30608 |
SPENCER | 1.7 | 3.5 | 2.0 | 3.3 | 16127 |
STARKE | 2.7 | 2.4 | 3.0 | 2.3 | 16398 |
STEUBEN | 2.9 | 2.0 | 3.3 | 1.9 | 17126 |
SULLIVAN | 3.6 | 2.1 | 4.2 | 2.0 | 22839 |
SWITZERLAND | 2.2 | 2.9 | 2.5 | 2.7 | 7386 |
TIPPECANOE | 4.1 | 2.3 | 4.7 | 2.2 | 80705 |
TIPTON | 1.4 | 5.0 | 1.8 | 4.6 | 15689 |
UNION | 1.7 | 4.7 | 2.1 | 4.4 | 6433 |
VANDERBURGH | 1.7 | 4.3 | 2.0 | 4.1 | 162709 |
VERMILLION | 2.2 | 3.8 | 2.6 | 3.6 | 18858 |
VIGO | 3.7 | 2.2 | 4.3 | 2.1 | 106559 |
WABASH | 1.5 | 4.4 | 1.8 | 4.1 | 30557 |
WARREN | 3.9 | 2.4 | 4.5 | 2.3 | 8540 |
WARRICK | 2.4 | 3.0 | 2.8 | 2.9 | 22399 |
WASHINGTON | 1.6 | 4.3 | 1.9 | 4.1 | 17069 |
WAYNE | 2.2 | 4.5 | 2.6 | 4.3 | 70893 |
WELLS | 1.6 | 5.0 | 1.9 | 4.7 | 20272 |
WHITE | 3.9 | 2.7 | 4.5 | 2.6 | 18754 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAIR | 5.9 | 3.0 | 6.9 | 2.9 | 11698 |
ADAMS | 5.5 | 3.2 | 6.3 | 3.0 | 8207 |
ALLAMAKEE | 4.3 | 2.6 | 4.9 | 2.4 | 16193 |
APPANOOSE | 5.0 | 3.3 | 5.8 | 3.2 | 18123 |
AUDUBON | 3.7 | 3.5 | 4.3 | 3.3 | 11296 |
BENTON | 4.0 | 3.9 | 4.8 | 3.7 | 22980 |
BLACK HAWK | 1.7 | 6.6 | 2.1 | 6.2 | 109811 |
BOONE | 4.1 | 4.0 | 4.8 | 3.8 | 28096 |
BREMER | 4.0 | 3.6 | 4.7 | 3.5 | 19829 |
BUCHANAN | 2.8 | 4.1 | 3.3 | 3.9 | 22083 |
BUENA VISTA | 3.5 | 4.0 | 4.2 | 3.8 | 21147 |
BUTLER | 3.8 | 3.9 | 4.4 | 3.7 | 17426 |
CALHOUN | 3.5 | 4.0 | 4.2 | 3.8 | 16497 |
CARROLL | 4.6 | 3.7 | 5.4 | 3.5 | 23219 |
CASS | 5.0 | 3.3 | 5.8 | 3.1 | 18276 |
CEDAR | 3.8 | 3.2 | 4.5 | 3.0 | 17285 |
CERRO GORDO | 2.8 | 4.7 | 3.3 | 4.5 | 47686 |
CHEROKEE | 3.8 | 4.0 | 4.5 | 3.8 | 18856 |
CHICKASAW | 5.0 | 2.1 | 5.7 | 2.0 | 15143 |
CLARKE | 4.7 | 3.3 | 5.5 | 3.1 | 8882 |
CLAY | 2.9 | 4.3 | 3.6 | 4.0 | 18277 |
CLAYTON | 4.4 | 3.2 | 5.1 | 3.0 | 22281 |
CLINTON | 2.4 | 4.5 | 2.9 | 4.2 | 51956 |
CRAWFORD | 2.8 | 4.5 | 3.4 | 4.2 | 19244 |
DALLAS | 4.9 | 3.1 | 5.7 | 3.0 | 23863 |
DAVIS | 5.2 | 3.2 | 6.1 | 3.0 | 9639 |
DECATUR | 5.5 | 3.2 | 6.4 | 3.0 | 11730 |
DELAWARE | 3.4 | 3.6 | 4.0 | 3.5 | 18056 |
DES MOINES | 2.9 | 4.2 | 3.4 | 4.0 | 43137 |
DICKINSON | 2.9 | 4.3 | 3.5 | 4.0 | 12677 |
DUBUQUE | 2.3 | 4.5 | 2.9 | 4.3 | 75041 |
EMMET | 2.4 | 4.5 | 3.0 | 4.3 | 14431 |
FAYETTE | 4.0 | 3.8 | 4.7 | 3.6 | 28416 |
FLOYD | 3.2 | 4.1 | 3.9 | 3.9 | 21338 |
FRANKLIN | 3.5 | 3.9 | 4.1 | 3.7 | 15928 |
FREMONT | 5.7 | 3.1 | 6.6 | 3.0 | 11456 |
GREENE | 3.8 | 4.0 | 4.5 | 3.7 | 15048 |
GRUNDY | 4.7 | 2.3 | 5.4 | 2.1 | 13898 |
GUTHRIE | 3.1 | 3.6 | 3.7 | 3.4 | 14517 |
HAMILTON | 3.5 | 4.0 | 4.2 | 3.8 | 19815 |
HANCOCK | 2.7 | 4.4 | 3.3 | 4.1 | 14877 |
HARDIN | 3.2 | 3.9 | 3.8 | 3.7 | 22355 |
HARRISON | 4.9 | 3.2 | 5.7 | 3.0 | 18726 |
HENRY | 2.5 | 4.0 | 3.0 | 3.7 | 18488 |
HOWARD | 5.0 | 3.3 | 5.8 | 3.2 | 12945 |
HUMBOLDT | 2.8 | 4.4 | 3.4 | 4.1 | 13137 |
IDA | 4.1 | 4.0 | 4.8 | 3.8 | 10514 |
IOWA | 2.9 | 4.4 | 3.6 | 4.1 | 16075 |
JACKSON | 1.9 | 4.9 | 2.4 | 4.6 | 19527 |
JASPER | 4.8 | 3.6 | 5.7 | 3.4 | 33572 |
JEFFERSON | 3.6 | 3.3 | 4.2 | 3.1 | 15748 |
JOHNSON | 2.6 | 3.9 | 3.1 | 3.7 | 49113 |
JONES | 2.8 | 3.6 | 3.3 | 3.4 | 19951 |
KEOKUK | 3.1 | 3.6 | 3.7 | 3.4 | 16242 |
KOSSUTH | 3.2 | 4.1 | 3.9 | 3.9 | 25845 |
LEE | 5.0 | 2.9 | 5.9 | 2.7 | 43571 |
LINN | 3.8 | 3.2 | 4.6 | 3.0 | 118144 |
LOUISA | 2.6 | 4.0 | 3.0 | 3.7 | 10759 |
LUCAS | 4.6 | 2.1 | 5.3 | 2.0 | 11583 |
LYON | 3.5 | 4.2 | 4.2 | 4.0 | 14597 |
MADISON | 4.9 | 3.2 | 5.8 | 3.0 | 12774 |
MAHASKA | 4.4 | 3.3 | 5.2 | 3.1 | 24215 |
MARION | 5.7 | 3.0 | 6.6 | 2.9 | 25916 |
MARSHALL | 4.3 | 3.9 | 5.1 | 3.7 | 36616 |
MILLS | 2.0 | 4.7 | 2.5 | 4.4 | 13634 |
MITCHELL | 4.0 | 3.6 | 4.7 | 3.4 | 13986 |
MONONA | 4.3 | 3.8 | 5.1 | 3.6 | 15288 |
MONROE | 5.0 | 3.3 | 5.8 | 3.1 | 11239 |
MONTGOMERY | 3.8 | 4.0 | 4.5 | 3.7 | 15167 |
MUSCATINE | 2.6 | 3.6 | 3.1 | 3.4 | 32868 |
O BRIEN | 4.0 | 3.8 | 4.8 | 3.6 | 18916 |
OSCEOLA | 3.2 | 4.2 | 3.8 | 4.0 | 10131 |
PAGE | 3.5 | 3.0 | 4.0 | 2.8 | 22689 |
PALO ALTO | 2.9 | 4.3 | 3.5 | 4.0 | 15400 |
PLYMOUTH | 3.5 | 4.1 | 4.2 | 3.9 | 23534 |
POCAHONTAS | 3.2 | 4.2 | 3.9 | 4.0 | 14961 |
POLK | 3.6 | 3.3 | 4.2 | 3.2 | 243139 |
POTTAWATTAMI | 3.9 | 3.3 | 4.5 | 3.1 | 75386 |
POWESHIEK | 4.8 | 3.6 | 5.6 | 3.4 | 19328 |
RINGGOLD | 5.0 | 3.3 | 5.8 | 3.1 | 8839 |
SAC | 3.8 | 4.0 | 4.5 | 3.7 | 17303 |
SCOTT | 2.4 | 3.8 | 2.9 | 3.6 | 108502 |
SHELBY | 5.2 | 3.2 | 6.0 | 3.0 | 15895 |
SIOUX | 4.1 | 4.0 | 4.8 | 3.8 | 26377 |
STORY | 4.0 | 3.6 | 4.8 | 3.4 | 46439 |
TAMA | 5.8 | 3.3 | 6.8 | 3.2 | 21565 |
TAYLOR | 5.2 | 2.7 | 6.0 | 2.6 | 11512 |
UNION | 5.0 | 3.3 | 5.8 | 3.1 | 14823 |
VAN BUREN | 5.5 | 2.8 | 6.4 | 2.7 | 10484 |
WAPELLO | 4.7 | 3.3 | 5.6 | 3.1 | 46855 |
WARREN | 3.6 | 3.3 | 4.2 | 3.2 | 19064 |
WASHINGTON | 3.6 | 3.2 | 4.2 | 3.0 | 19495 |
WAYNE | 4.9 | 3.2 | 5.7 | 3.0 | 10920 |
WEBSTER | 3.2 | 4.0 | 3.8 | 3.8 | 45758 |
WINNEBAGO | 2.8 | 4.4 | 3.3 | 4.1 | 13302 |
WINNESHIEK | 3.8 | 4.0 | 4.5 | 3.8 | 21647 |
WOODBURY | 5.2 | 3.7 | 6.1 | 3.5 | 105589 |
WORTH | 4.0 | 3.6 | 4.7 | 3.4 | 10724 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ALLEN | 4.6 | 2.0 | 5.4 | 1.9 | 17415 |
ANDERSON | 4.7 | 2.1 | 5.5 | 2.0 | 9743 |
ATCHISON | 4.1 | 1.8 | 4.8 | 1.7 | 21236 |
BARBER | 5.1 | 1.8 | 6.1 | 1.7 | 8605 |
BARTON | 5.6 | 1.8 | 6.6 | 1.7 | 30956 |
BOURBON | 4.2 | 2.1 | 4.9 | 2.0 | 17850 |
BROWN | 4.1 | 1.7 | 4.8 | 1.6 | 14045 |
BUTLER | 5.8 | 1.8 | 6.8 | 1.7 | 34144 |
CHASE | 5.6 | 1.9 | 6.6 | 1.8 | 4446 |
CHAUTAUQUA | 5.4 | 2.0 | 6.3 | 1.8 | 6777 |
CHEROKEE | 4.2 | 2.2 | 5.0 | 2.0 | 23926 |
CHEYENNE | 4.9 | 2.0 | 5.8 | 1.9 | 5262 |
CLARK | 4.8 | 1.9 | 5.7 | 1.8 | 3710 |
CLAY | 4.2 | 2.1 | 4.9 | 2.0 | 11261 |
CLOUD | 4.4 | 1.9 | 5.2 | 1.8 | 15385 |
COFFEY | 5.2 | 1.9 | 6.1 | 1.8 | 9558 |
COMANCHE | 4.4 | 1.8 | 5.2 | 1.7 | 3627 |
COWLEY | 5.2 | 1.9 | 6.1 | 1.8 | 37311 |
CRAWFORD | 4.4 | 2.0 | 5.2 | 1.9 | 38869 |
DECATUR | 5.1 | 1.9 | 6.0 | 1.8 | 6012 |
DICKINSON | 5.6 | 1.9 | 6.6 | 1.8 | 21352 |
DONIPHAN | 3.9 | 1.7 | 4.6 | 1.6 | 10108 |
DOUGLAS | 4.7 | 1.9 | 5.5 | 1.8 | 38184 |
EDWARDS | 4.2 | 1.8 | 5.0 | 1.7 | 5587 |
ELK | 5.5 | 1.9 | 6.4 | 1.8 | 5985 |
ELLIS | 5.4 | 1.8 | 6.4 | 1.7 | 19988 |
ELLSWORTH | 5.9 | 2.0 | 7.0 | 1.8 | 8130 |
FINNEY | 4.3 | 1.9 | 5.2 | 1.7 | 15518 |
FORD | 5.5 | 1.9 | 6.6 | 1.7 | 20211 |
FRANKLIN | 4.1 | 1.8 | 4.8 | 1.7 | 19763 |
GEARY | 4.8 | 1.9 | 5.7 | 1.8 | 24691 |
GOVE | 5.1 | 1.9 | 6.0 | 1.8 | 4302 |
GRAHAM | 5.8 | 1.8 | 6.8 | 1.7 | 5259 |
GRANT | 4.5 | 1.9 | 5.4 | 1.7 | 4907 |
GRAY | 4.4 | 1.8 | 5.3 | 1.7 | 4681 |
GREELEY | 4.6 | 1.8 | 5.4 | 1.7 | 2038 |
GREENWOOD | 5.3 | 1.9 | 6.2 | 1.8 | 12591 |
HAMILTON | 4.5 | 2.0 | 5.4 | 1.8 | 3464 |
HARPER | 5.5 | 1.8 | 6.4 | 1.7 | 9961 |
HARVEY | 5.6 | 1.8 | 6.6 | 1.7 | 23473 |
HASKELL | 4.5 | 1.9 | 5.3 | 1.8 | 2773 |
HODGEMAN | 4.6 | 1.8 | 5.5 | 1.7 | 3224 |
JACKSON | 5.0 | 1.8 | 5.8 | 1.7 | 10763 |
JEFFERSON | 4.1 | 1.8 | 4.9 | 1.7 | 11155 |
JEWELL | 4.6 | 1.9 | 5.4 | 1.8 | 8646 |
JOHNSON | 4.2 | 1.9 | 5.0 | 1.8 | 97215 |
KEARNY | 5.2 | 1.8 | 6.2 | 1.7 | 3327 |
KINGMAN | 5.4 | 1.8 | 6.4 | 1.7 | 10169 |
KIOWA | 4.4 | 2.0 | 5.2 | 1.9 | 4693 |
LABETTE | 5.6 | 1.9 | 6.6 | 1.8 | 28230 |
LANE | 4.8 | 1.9 | 5.8 | 1.8 | 2918 |
LEAVENWORTH | 4.7 | 1.8 | 5.6 | 1.7 | 44980 |
LINCOLN | 6.2 | 1.9 | 7.3 | 1.8 | 6183 |
LINN | 4.5 | 1.8 | 5.2 | 1.7 | 9301 |
LOGAN | 4.8 | 2.0 | 5.8 | 1.8 | 4138 |
LYON | 5.5 | 1.9 | 6.5 | 1.8 | 26723 |
MCPHERSON | 6.0 | 1.9 | 7.0 | 1.8 | 23932 |
MARION | 6.7 | 1.9 | 7.8 | 1.8 | 15809 |
MARSHALL | 4.6 | 1.7 | 5.4 | 1.6 | 16942 |
MEADE | 4.7 | 1.8 | 5.6 | 1.7 | 5622 |
MIAMI | 4.1 | 1.9 | 4.9 | 1.8 | 19776 |
MITCHELL | 5.7 | 1.9 | 6.7 | 1.8 | 9701 |
MONTGOMERY | 4.8 | 1.9 | 5.6 | 1.8 | 45860 |
MORRIS | 5.6 | 1.9 | 6.6 | 1.8 | 8022 |
MORTON | 4.5 | 1.9 | 5.3 | 1.8 | 2927 |
NEMAHA | 4.4 | 1.7 | 5.2 | 1.6 | 13728 |
NEOSHO | 5.0 | 2.1 | 5.9 | 1.9 | 19973 |
NESS | 5.9 | 1.9 | 7.0 | 1.8 | 5962 |
NORTON | 5.8 | 1.9 | 6.9 | 1.8 | 8479 |
OSAGE | 5.0 | 2.0 | 5.9 | 1.8 | 12847 |
OSBORNE | 6.3 | 1.9 | 7.4 | 1.8 | 8114 |
OTTAWA | 5.9 | 2.0 | 6.9 | 1.8 | 7063 |
PAWNEE | 4.6 | 1.8 | 5.4 | 1.7 | 10705 |
PHILLIPS | 5.1 | 1.8 | 6.0 | 1.7 | 9036 |
POTTAWATOMIE | 5.3 | 1.8 | 6.2 | 1.7 | 12176 |
PRATT | 5.0 | 1.8 | 5.9 | 1.7 | 12139 |
RAWLINS | 5.1 | 2.1 | 6.0 | 2.0 | 5537 |
RENO | 5.4 | 2.3 | 6.4 | 2.1 | 56184 |
REPUBLIC | 5.7 | 2.0 | 6.7 | 1.8 | 10751 |
RICE | 5.2 | 2.2 | 6.1 | 2.0 | 14901 |
RILEY | 4.8 | 2.0 | 5.8 | 1.8 | 37022 |
ROOKS | 5.6 | 1.8 | 6.6 | 1.7 | 9339 |
RUSH | 4.9 | 1.8 | 5.8 | 1.7 | 6774 |
RUSSELL | 6.9 | 1.9 | 8.1 | 1.8 | 12533 |
SALINE | 6.0 | 1.9 | 7.2 | 1.8 | 42468 |
SCOTT | 4.8 | 1.9 | 5.7 | 1.8 | 5058 |
SEDGWICK | 4.6 | 1.7 | 5.4 | 1.6 | 273691 |
SEWARD | 4.3 | 1.8 | 5.2 | 1.7 | 12504 |
SHAWNEE | 5.2 | 1.8 | 6.2 | 1.7 | 120661 |
SHERIDAN | 4.8 | 1.9 | 5.6 | 1.8 | 4464 |
SHERMAN | 3.6 | 2.1 | 4.3 | 2.0 | 7077 |
SMITH | 5.8 | 1.8 | 6.8 | 1.7 | 8393 |
STAFFORD | 4.6 | 1.9 | 5.4 | 1.8 | 8235 |
STANTON | 4.8 | 1.9 | 5.8 | 1.8 | 2194 |
STEVENS | 5.1 | 2.0 | 6.2 | 1.9 | 4469 |
SUMNER | 5.1 | 1.8 | 6.1 | 1.7 | 24359 |
THOMAS | 4.3 | 2.0 | 5.1 | 1.8 | 7481 |
TREGO | 5.5 | 1.9 | 6.5 | 1.8 | 5704 |
WABAUNSEE | 6.0 | 1.9 | 7.1 | 1.8 | 6974 |
WALLACE | 5.7 | 1.9 | 6.7 | 1.8 | 2319 |
WASHINGTON | 4.8 | 1.9 | 5.7 | 1.8 | 12027 |
WICHITA | 5.1 | 1.9 | 6.1 | 1.8 | 2695 |
WILSON | 4.8 | 1.9 | 5.6 | 1.8 | 14082 |
WOODSON | 5.2 | 1.9 | 6.1 | 1.8 | 6171 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAIR | 1.5 | 2.2 | 1.8 | 2.0 | 16367 |
ALLEN | 1.7 | 1.9 | 2.0 | 1.8 | 13138 |
ANDERSON | 1.8 | 2.7 | 2.1 | 2.5 | 8826 |
BALLARD | 2.3 | 1.9 | 2.7 | 1.8 | 8441 |
BARREN | 1.5 | 2.5 | 1.8 | 2.3 | 28396 |
BATH | 1.1 | 4.8 | 1.4 | 4.5 | 9859 |
BELL | 1.0 | 4.5 | 1.2 | 4.2 | 42391 |
BOONE | 1.2 | 4.3 | 1.5 | 4.0 | 16811 |
BOURBON | 1.1 | 3.5 | 1.3 | 3.2 | 17930 |
BOYD | 1.1 | 4.8 | 1.4 | 4.5 | 50892 |
BOYLE | 1.0 | 4.1 | 1.2 | 3.8 | 20840 |
BRACKEN | 1.1 | 4.6 | 1.4 | 4.3 | 8001 |
BREATHITT | 2.9 | 2.5 | 3.5 | 2.3 | 18065 |
BRECKINRIDGE | 1.7 | 2.0 | 2.0 | 1.8 | 15188 |
BULLITT | 1.1 | 3.4 | 1.3 | 3.1 | 13212 |
BUTLER | 1.5 | 2.6 | 1.8 | 2.4 | 10578 |
CALDWELL | 2.4 | 1.8 | 2.8 | 1.7 | 13146 |
CALLOWAY | 1.8 | 1.7 | 2.2 | 1.6 | 20497 |
CAMPBELL | 1.4 | 4.4 | 1.8 | 4.1 | 80709 |
CARLISLE | 2.1 | 2.2 | 2.6 | 2.0 | 5953 |
CARROLL | 1.3 | 4.6 | 1.7 | 4.2 | 8287 |
CARTER | 0.9 | 5.1 | 1.2 | 4.7 | 21825 |
CASEY | 1.8 | 2.4 | 2.2 | 2.3 | 16122 |
CHRISTIAN | 2.1 | 2.1 | 2.5 | 1.9 | 48538 |
CLARK | 1.1 | 4.3 | 1.4 | 4.0 | 19824 |
CLAY | 1.3 | 3.1 | 1.5 | 2.9 | 22111 |
CLINTON | 1.7 | 1.8 | 2.0 | 1.7 | 9876 |
CRITTENDEN | 1.8 | 1.7 | 2.1 | 1.6 | 9896 |
CUMBERLAND | 1.6 | 2.7 | 1.9 | 2.5 | 8686 |
DAVIESS | 1.8 | 2.6 | 2.2 | 2.4 | 62916 |
EDMONSON | 1.6 | 2.4 | 1.9 | 2.3 | 8830 |
ELLIOTT | 0.9 | 5.1 | 1.2 | 4.7 | 6763 |
ESTILL | 1.1 | 3.8 | 1.4 | 3.5 | 13741 |
FAYETTE | 1.2 | 3.3 | 1.4 | 3.1 | 113993 |
FLEMING | 0.9 | 5.1 | 1.2 | 4.7 | 11511 |
FLOYD | 2.1 | 3.6 | 2.5 | 3.4 | 48464 |
FRANKLIN | 1.2 | 4.3 | 1.5 | 4.0 | 27415 |
FULTON | 2.7 | 2.2 | 3.3 | 2.0 | 12647 |
GALLATIN | 1.1 | 4.8 | 1.4 | 4.5 | 3925 |
GARRARD | 1.2 | 3.5 | 1.4 | 3.2 | 10484 |
GRANT | 1.2 | 4.6 | 1.5 | 4.3 | 9673 |
GRAVES | 2.3 | 2.3 | 2.7 | 2.2 | 30789 |
GRAYSON | 1.6 | 1.7 | 1.9 | 1.6 | 16546 |
GREEN | 1.8 | 2.0 | 2.1 | 1.9 | 11254 |
GREENUP | 1.5 | 3.8 | 1.9 | 3.6 | 26732 |
HANCOCK | 1.5 | 2.9 | 1.9 | 2.7 | 5722 |
HARDIN | 1.7 | 1.9 | 2.1 | 1.7 | 57739 |
HARLAN | 1.6 | 2.7 | 2.0 | 2.5 | 62978 |
HARRISON | 1.2 | 4.6 | 1.6 | 4.2 | 13725 |
HART | 1.6 | 1.7 | 1.9 | 1.6 | 14810 |
HENDERSON | 2.1 | 1.8 | 2.5 | 1.7 | 31906 |
HENRY | 1.1 | 4.9 | 1.4 | 4.6 | 11220 |
HICKMAN | 3.3 | 2.1 | 3.9 | 2.0 | 7341 |
HOPKINS | 1.8 | 1.8 | 2.2 | 1.7 | 38664 |
JACKSON | 1.6 | 2.9 | 1.9 | 2.7 | 12071 |
JEFFERSON | 0.9 | 3.3 | 1.1 | 3.1 | 538310 |
JESSAMINE | 1.4 | 3.2 | 1.7 | 2.9 | 12956 |
JOHNSON | 1.4 | 4.0 | 1.7 | 3.7 | 22105 |
KENTON | 1.4 | 4.5 | 1.8 | 4.2 | 111246 |
KNOTT | 1.5 | 3.7 | 1.8 | 3.5 | 19064 |
KNOX | 1.2 | 3.3 | 1.4 | 3.1 | 28222 |
LARUE | 1.7 | 1.9 | 2.0 | 1.8 | 10120 |
LAUREL | 1.6 | 1.7 | 2.0 | 1.6 | 25418 |
LAWRENCE | 1.7 | 3.8 | 2.0 | 3.5 | 13452 |
LEE | 1.7 | 1.9 | 2.0 | 1.8 | 8180 |
LESLIE | 1.0 | 4.7 | 1.3 | 4.4 | 13585 |
LETCHER | 1.4 | 3.9 | 1.6 | 3.7 | 35516 |
LEWIS | 1.5 | 3.9 | 1.8 | 3.7 | 13352 |
LINCOLN | 1.1 | 3.6 | 1.3 | 3.4 | 17750 |
LIVINGSTON | 2.3 | 1.9 | 2.7 | 1.7 | 7122 |
LOGAN | 2.0 | 1.9 | 2.3 | 1.8 | 21721 |
LYON | 1.8 | 2.1 | 2.1 | 2.0 | 6456 |
MCCRACKEN | 2.5 | 1.9 | 3.0 | 1.8 | 52610 |
MCCREARY | 1.1 | 2.9 | 1.4 | 2.7 | 14875 |
MCLEAN | 1.9 | 2.1 | 2.3 | 1.9 | 9740 |
MADISON | 1.5 | 3.5 | 1.8 | 3.2 | 32158 |
MAGOFFIN | 1.7 | 3.9 | 2.0 | 3.7 | 12702 |
MARION | 1.7 | 1.9 | 2.0 | 1.8 | 17074 |
MARSHALL | 1.6 | 2.5 | 1.9 | 2.3 | 14810 |
MARTIN | 1.1 | 4.4 | 1.4 | 4.1 | 11051 |
MASON | 1.0 | 4.9 | 1.2 | 4.5 | 18474 |
MEADE | 1.8 | 1.7 | 2.2 | 1.6 | 13465 |
MENIFEE | 2.0 | 3.7 | 2.4 | 3.5 | 4577 |
MERCER | 1.5 | 3.2 | 1.8 | 3.0 | 14624 |
METCALFE | 2.2 | 2.0 | 2.6 | 1.9 | 9223 |
MONROE | 1.8 | 2.4 | 2.1 | 2.3 | 12934 |
MONTGOMERY | 1.5 | 2.7 | 1.8 | 2.6 | 13210 |
MORGAN | 1.1 | 4.4 | 1.4 | 4.1 | 12535 |
MUHLENBERG | 1.8 | 2.0 | 2.1 | 1.9 | 30501 |
NELSON | 1.5 | 1.7 | 1.8 | 1.6 | 20649 |
NICHOLAS | 1.2 | 4.6 | 1.5 | 4.3 | 7171 |
OHIO | 2.0 | 2.3 | 2.4 | 2.1 | 19518 |
OLDHAM | 1.3 | 2.9 | 1.6 | 2.7 | 12031 |
OWEN | 1.4 | 4.5 | 1.8 | 4.2 | 9109 |
OWSLEY | 2.0 | 2.8 | 2.3 | 2.6 | 6500 |
PENDLETON | 1.2 | 4.5 | 1.5 | 4.2 | 9766 |
PERRY | 1.6 | 3.8 | 1.9 | 3.5 | 41638 |
PIKE | 1.8 | 3.6 | 2.3 | 3.4 | 75673 |
POWELL | 2.0 | 3.4 | 2.4 | 3.2 | 6754 |
PULASKI | 1.4 | 2.7 | 1.6 | 2.5 | 36731 |
ROBERTSON | 1.1 | 4.8 | 1.4 | 4.5 | 2698 |
ROCKCASTLE | 1.2 | 3.7 | 1.5 | 3.4 | 13253 |
ROWAN | 1.5 | 4.5 | 1.9 | 4.2 | 12754 |
RUSSELL | 1.4 | 2.7 | 1.7 | 2.5 | 12594 |
SCOTT | 1.2 | 4.3 | 1.5 | 4.0 | 15243 |
SHELBY | 1.3 | 4.2 | 1.6 | 3.9 | 18159 |
SIMPSON | 1.6 | 2.1 | 1.9 | 2.0 | 11625 |
SPENCER | 1.2 | 3.8 | 1.5 | 3.5 | 5956 |
TAYLOR | 1.7 | 1.8 | 2.0 | 1.7 | 15202 |
TODD | 1.7 | 2.8 | 2.1 | 2.6 | 12240 |
TRIGG | 2.4 | 1.8 | 2.8 | 1.7 | 9338 |
TRIMBLE | 1.7 | 3.8 | 2.0 | 3.5 | 5131 |
UNION | 1.9 | 2.5 | 2.3 | 2.3 | 14741 |
WARREN | 2.8 | 1.9 | 3.3 | 1.8 | 43920 |
WASHINGTON | 0.9 | 3.8 | 1.1 | 3.5 | 12088 |
WAYNE | 1.4 | 2.5 | 1.7 | 2.4 | 15717 |
WEBSTER | 2.1 | 1.8 | 2.5 | 1.7 | 15000 |
WHITLEY | 0.7 | 4.7 | 0.9 | 4.5 | 29337 |
WOLFE | 2.0 | 3.7 | 2.4 | 3.5 | 7158 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ACADIA | 2.0 | 2.5 | 2.5 | 2.3 | 48277 |
ALLEN | 2.1 | 2.5 | 2.6 | 2.3 | 19272 |
ASCENSION | 2.1 | 2.4 | 2.5 | 2.2 | 24743 |
ASSUMPTION | 1.6 | 2.6 | 2.0 | 2.4 | 17586 |
AVOYELLES | 1.8 | 2.5 | 2.2 | 2.3 | 37853 |
BEAUREGARD | 2.3 | 2.5 | 2.8 | 2.3 | 18376 |
BIENVILLE | 1.8 | 1.8 | 2.2 | 1.7 | 18093 |
BOSSIER | 1.4 | 1.7 | 1.7 | 1.6 | 47567 |
CADDO | 1.8 | 1.7 | 2.2 | 1.6 | 196653 |
CALCASIEU | 1.9 | 2.7 | 2.3 | 2.5 | 113367 |
CALDWELL | 1.3 | 2.2 | 1.6 | 2.0 | 9748 |
CAMERON | 1.9 | 2.5 | 2.4 | 2.3 | 6528 |
CATAHOULA | 1.8 | 2.4 | 2.2 | 2.2 | 11660 |
CLAIBORNE | 1.4 | 1.7 | 1.7 | 1.6 | 22661 |
CONCORDIA | 1.7 | 2.4 | 2.2 | 2.2 | 16978 |
DE SOTO | 1.5 | 1.7 | 1.8 | 1.6 | 24334 |
EAST BATON R | 1.8 | 2.5 | 2.2 | 2.3 | 188763 |
EAST CARROLL | 1.5 | 2.0 | 1.9 | 1.8 | 15511 |
EAST FELICIA | 2.4 | 2.2 | 3.0 | 2.0 | 19586 |
EVANGELINE | 2.1 | 2.5 | 2.6 | 2.3 | 31636 |
FRANKLIN | 1.5 | 2.0 | 1.9 | 1.8 | 27980 |
GRANT | 2.6 | 2.4 | 3.2 | 2.2 | 13868 |
IBERIA | 1.9 | 2.4 | 2.4 | 2.2 | 44992 |
IBERVILLE | 1.8 | 2.5 | 2.2 | 2.3 | 28105 |
JACKSON | 1.5 | 2.0 | 1.9 | 1.8 | 15606 |
JEFFERSON | 1.9 | 2.0 | 2.3 | 1.9 | 148455 |
JEFFERSON DA | 1.9 | 2.5 | 2.5 | 2.3 | 27796 |
LAFAYETTE | 2.1 | 2.5 | 2.6 | 2.3 | 69180 |
LAFOURCHE | 1.9 | 2.5 | 2.5 | 2.3 | 47809 |
LA SALLE | 1.8 | 2.5 | 2.2 | 2.3 | 12842 |
LINCOLN | 1.6 | 1.8 | 1.9 | 1.7 | 26952 |
LIVINGSTON | 2.1 | 2.2 | 2.7 | 2.1 | 22995 |
MADISON | 1.7 | 2.0 | 2.1 | 1.9 | 17027 |
MOREHOUSE | 1.5 | 1.9 | 1.9 | 1.8 | 32749 |
NATCHITOCHES | 1.3 | 2.0 | 1.6 | 1.8 | 37086 |
ORLEANS | 1.4 | 1.7 | 1.8 | 1.6 | 594710 |
OUACHITA | 1.7 | 2.2 | 2.1 | 2.0 | 86168 |
PLAQUEMINES | 1.8 | 2.4 | 2.2 | 2.2 | 17769 |
POINTE COUPE | 1.8 | 2.5 | 2.2 | 2.3 | 22116 |
RAPIDES | 2.3 | 2.5 | 2.8 | 2.3 | 99443 |
RED RIVER | 1.4 | 1.8 | 1.8 | 1.7 | 11208 |
RICHLAND | 2.1 | 2.1 | 2.5 | 2.0 | 25465 |
SABINE | 1.7 | 2.4 | 2.2 | 2.2 | 19895 |
ST BERNARD | 1.5 | 2.4 | 1.9 | 2.2 | 20053 |
ST CHARLES | 2.2 | 2.4 | 2.8 | 2.2 | 16705 |
ST HELENA | 2.2 | 2.4 | 2.7 | 2.2 | 9076 |
ST JAMES | 2.2 | 2.3 | 2.7 | 2.1 | 16624 |
ST JOHN THE | 1.9 | 2.5 | 2.5 | 2.3 | 16382 |
ST LANDRY | 1.8 | 2.4 | 2.2 | 2.2 | 79765 |
ST MARTIN | 1.6 | 2.5 | 2.0 | 2.3 | 27508 |
ST MARY | 1.6 | 2.5 | 2.0 | 2.3 | 41367 |
ST TAMMANY | 1.9 | 2.3 | 2.3 | 2.1 | 31946 |
TANGIPAHOA | 2.1 | 2.4 | 2.6 | 2.2 | 55857 |
TENSAS | 2.2 | 2.4 | 2.7 | 2.2 | 12612 |
TERREBONNE | 1.9 | 2.4 | 2.4 | 2.2 | 50746 |
UNION | 1.6 | 2.0 | 1.9 | 1.9 | 18496 |
VERMILION | 1.9 | 2.5 | 2.4 | 2.3 | 37750 |
VERNON | 1.6 | 2.5 | 2.0 | 2.3 | 18689 |
WASHINGTON | 1.9 | 2.4 | 2.3 | 2.2 | 40769 |
WEBSTER | 1.5 | 1.7 | 1.9 | 1.6 | 37407 |
WEST BATON R | 1.8 | 2.5 | 2.2 | 2.3 | 13039 |
WEST CARROLL | 1.5 | 2.0 | 1.9 | 1.8 | 15947 |
WEST FELICIA | 1.8 | 2.5 | 2.2 | 2.3 | 11119 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ANDROSCOGGIN | 2.3 | 2.3 | 2.7 | 2.2 | 84755 |
AROOSTOOK | 3.2 | 2.0 | 3.7 | 1.9 | 100296 |
CUMBERLAND | 2.1 | 2.4 | 2.5 | 2.3 | 174958 |
FRANKLIN | 2.5 | 2.0 | 2.9 | 1.9 | 20422 |
HANCOCK | 2.7 | 2.0 | 3.1 | 1.9 | 32185 |
KENNEBEC | 2.6 | 2.2 | 3.0 | 2.1 | 86118 |
KNOX | 3.0 | 2.3 | 3.4 | 2.2 | 28312 |
LINCOLN | 2.3 | 2.3 | 2.7 | 2.2 | 18214 |
OXFORD | 2.5 | 2.3 | 2.9 | 2.2 | 44271 |
PENOBSCOT | 3.3 | 1.9 | 3.8 | 1.8 | 115906 |
PISCATAQUIS | 2.9 | 2.0 | 3.4 | 1.9 | 18094 |
SAGADAHOC | 2.0 | 2.1 | 2.4 | 2.0 | 21711 |
SOMERSET | 2.4 | 1.9 | 2.8 | 1.8 | 39771 |
WALDO | 2.9 | 2.3 | 3.4 | 2.1 | 22089 |
WASHINGTON | 2.7 | 1.8 | 3.2 | 1.7 | 34218 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ALLEGANY | 1.7 | 3.2 | 2.0 | 3.0 | 87266 |
ARUNDEL | 2.1 | 1.8 | 2.5 | 1.7 | 155319 |
BALTIMORE | 0.9 | 4.4 | 1.2 | 4.0 | 1309861 |
CALVERT | 2.4 | 1.8 | 2.8 | 1.7 | 13683 |
CAROLINE | 2.1 | 1.9 | 2.5 | 1.8 | 18755 |
CARROLL | 1.7 | 1.8 | 2.0 | 1.7 | 48256 |
CECIL | 1.9 | 1.8 | 2.2 | 1.7 | 39749 |
CHARLES | 2.0 | 1.7 | 2.4 | 1.6 | 27309 |
DORCHESTER | 2.2 | 1.9 | 2.5 | 1.8 | 28601 |
FREDERICK | 2.3 | 1.9 | 2.7 | 1.8 | 66383 |
GARRETT | 1.1 | 5.0 | 1.5 | 4.6 | 20903 |
HARFORD | 1.8 | 3.1 | 2.2 | 2.9 | 62382 |
HOWARD | 1.9 | 2.2 | 2.3 | 2.0 | 28659 |
KENT | 2.0 | 1.8 | 2.4 | 1.7 | 14444 |
MONTGOMERY | 2.4 | 2.0 | 2.8 | 1.9 | 239426 |
PRINCE GEORG | 2.0 | 1.8 | 2.5 | 1.7 | 263546 |
QUEEN ANNES | 1.9 | 1.8 | 2.2 | 1.7 | 15426 |
ST MARYS | 2.2 | 1.8 | 2.6 | 1.7 | 33278 |
SOMERSET | 2.4 | 2.0 | 2.8 | 1.8 | 20273 |
TALBOT | 1.9 | 1.8 | 2.3 | 1.7 | 20342 |
WASHINGTON | 2.1 | 2.1 | 2.5 | 1.9 | 84128 |
WICOMICO | 2.0 | 1.9 | 2.3 | 1.8 | 43636 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
BARNSTABLE | 2.1 | 2.2 | 2.4 | 2.1 | 56782 |
BERKSHIRE | 3.9 | 2.0 | 4.4 | 1.9 | 136865 |
BRISTOL | 2.0 | 2.1 | 2.4 | 2.0 | 388757 |
DUKES | 1.6 | 2.1 | 1.9 | 2.0 | 5715 |
ESSEX | 1.5 | 2.4 | 1.8 | 2.3 | 542126 |
FRANKLIN | 2.8 | 1.9 | 3.3 | 1.8 | 53645 |
HAMPDEN | 2.6 | 2.1 | 3.0 | 2.0 | 394061 |
HAMPSHIRE | 2.9 | 2.0 | 3.4 | 1.9 | 94239 |
MIDDLESEX | 1.9 | 2.2 | 2.2 | 2.1 | 1138593 |
NANTUCKET | 2.2 | 2.5 | 2.6 | 2.4 | 3516 |
NORFOLK | 1.9 | 2.2 | 2.3 | 2.1 | 442438 |
PLYMOUTH | 2.0 | 2.3 | 2.3 | 2.1 | 214538 |
SUFFOLK | 2.1 | 2.3 | 2.4 | 2.1 | 851870 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ALCONA | 2.5 | 2.1 | 2.8 | 2.0 | 6065 |
ALGER | 2.0 | 2.3 | 2.3 | 2.1 | 9686 |
ALLEGAN | 2.8 | 2.2 | 3.2 | 2.1 | 51850 |
ALPENA | 1.5 | 2.0 | 1.7 | 1.9 | 24895 |
ANTRIM | 2.2 | 2.0 | 2.5 | 1.9 | 10573 |
ARENAC | 2.3 | 2.3 | 2.7 | 2.1 | 9736 |
BARAGA | 2.1 | 2.1 | 2.4 | 2.0 | 7659 |
BARRY | 3.4 | 2.4 | 3.8 | 2.3 | 28542 |
BAY | 2.1 | 2.5 | 2.4 | 2.4 | 96359 |
BENZIE | 1.7 | 2.0 | 2.0 | 1.9 | 8105 |
BERRIEN | 3.0 | 2.2 | 3.4 | 2.1 | 130222 |
BRANCH | 3.8 | 2.6 | 4.4 | 2.5 | 32201 |
CALHOUN | 3.3 | 2.7 | 3.8 | 2.6 | 128481 |
CASS | 2.7 | 1.9 | 3.1 | 1.8 | 31903 |
CHARLEVOIX | 2.4 | 2.0 | 2.8 | 1.9 | 13454 |
CHEBOYGAN | 1.9 | 1.9 | 2.2 | 1.8 | 14078 |
CHIPPEWA | 2.4 | 2.0 | 2.7 | 1.9 | 30675 |
CLARE | 2.0 | 2.3 | 2.3 | 2.1 | 10843 |
CLINTON | 2.9 | 2.8 | 3.3 | 2.6 | 34071 |
CRAWFORD | 1.9 | 2.0 | 2.2 | 1.9 | 4502 |
DELTA | 2.0 | 2.2 | 2.3 | 2.1 | 33501 |
DICKINSON | 2.0 | 2.1 | 2.3 | 2.0 | 24447 |
EATON | 2.9 | 3.7 | 3.4 | 3.5 | 44129 |
EMMET | 1.9 | 2.0 | 2.1 | 1.9 | 16264 |
GENESEE | 2.4 | 3.3 | 2.8 | 3.1 | 314887 |
GLADWIN | 2.0 | 2.3 | 2.3 | 2.2 | 10011 |
GOGEBIC | 2.8 | 2.3 | 3.2 | 2.1 | 25916 |
GRAND TRAVER | 2.0 | 2.0 | 2.3 | 1.9 | 30679 |
GRATIOT | 2.8 | 2.6 | 3.2 | 2.4 | 34951 |
HILLSDALE | 3.7 | 2.9 | 4.3 | 2.8 | 33118 |
HOUGHTON | 2.5 | 2.1 | 2.9 | 2.0 | 38019 |
HURON | 2.8 | 2.2 | 3.2 | 2.1 | 33515 |
INGHAM | 3.1 | 3.7 | 3.7 | 3.5 | 189239 |
IONIA | 1.7 | 2.1 | 2.0 | 2.0 | 40274 |
IOSCO | 2.3 | 2.1 | 2.6 | 2.0 | 13291 |
IRON | 2.4 | 2.0 | 2.7 | 1.9 | 17475 |
ISABELLA | 2.3 | 2.3 | 2.7 | 2.2 | 31682 |
JACKSON | 2.9 | 2.8 | 3.3 | 2.6 | 118158 |
KALAMAZOO | 3.1 | 2.6 | 3.5 | 2.5 | 144984 |
KALKASKA | 1.6 | 2.0 | 1.8 | 1.9 | 4503 |
KENT | 1.2 | 5.0 | 1.5 | 4.7 | 320129 |
KEWEENAW | 2.2 | 2.4 | 2.5 | 2.3 | 2703 |
LAKE | 2.1 | 2.1 | 2.4 | 2.0 | 5289 |
LAPEER | 2.6 | 3.0 | 3.0 | 2.8 | 38401 |
LEELANAU | 1.8 | 2.1 | 2.0 | 2.0 | 8935 |
LENAWEE | 1.3 | 3.8 | 1.6 | 3.6 | 70223 |
LIVINGSTON | 2.9 | 3.0 | 3.4 | 2.8 | 31617 |
LUCE | 2.3 | 2.7 | 2.7 | 2.6 | 8014 |
MACKINAC | 2.1 | 2.0 | 2.4 | 1.9 | 9954 |
MACOMB | 2.2 | 2.0 | 2.6 | 1.9 | 278821 |
MANISTEE | 2.0 | 2.1 | 2.3 | 2.0 | 18748 |
MARQUETTE | 2.2 | 2.1 | 2.5 | 2.0 | 51267 |
MASON | 2.2 | 2.0 | 2.5 | 1.9 | 21092 |
MECOSTA | 2.2 | 2.1 | 2.6 | 2.0 | 19853 |
MENOMINEE | 2.3 | 2.2 | 2.6 | 2.1 | 25033 |
MIDLAND | 2.2 | 2.6 | 2.5 | 2.4 | 42370 |
MISSAUKEE | 2.1 | 2.1 | 2.3 | 2.0 | 7176 |
MONROE | 1.1 | 5.2 | 1.4 | 4.9 | 86486 |
MONTCALM | 2.1 | 2.4 | 2.4 | 2.3 | 33042 |
MONTMORENCY | 1.5 | 1.9 | 1.7 | 1.8 | 4253 |
MUSKEGON | 2.5 | 2.2 | 2.9 | 2.1 | 133617 |
NEWAYGO | 2.3 | 2.1 | 2.6 | 2.0 | 22667 |
OAKLAND | 2.0 | 3.7 | 2.4 | 3.5 | 521061 |
OCEANA | 2.9 | 2.0 | 3.2 | 1.9 | 16298 |
OGEMAW | 1.8 | 2.0 | 2.0 | 1.9 | 9488 |
ONTONAGON | 2.6 | 2.3 | 2.9 | 2.1 | 10409 |
OSCEOLA | 2.2 | 2.2 | 2.5 | 2.1 | 13711 |
OSCODA | 1.5 | 1.8 | 1.8 | 1.7 | 3268 |
OTSEGO | 1.7 | 1.9 | 1.9 | 1.8 | 6905 |
OTTAWA | 3.0 | 2.1 | 3.4 | 2.0 | 84363 |
PRESQUE ISLE | 1.7 | 1.9 | 1.9 | 1.8 | 12471 |
ROSCOMMON | 2.0 | 2.2 | 2.3 | 2.1 | 6461 |
SAGINAW | 2.4 | 2.6 | 2.8 | 2.5 | 169341 |
ST CLAIR | 2.4 | 2.0 | 2.8 | 1.9 | 98232 |
ST JOSEPH | 2.6 | 2.0 | 3.0 | 1.9 | 38159 |
SANILAC | 2.2 | 2.8 | 2.5 | 2.6 | 31463 |
SCHOOLCRAFT | 2.0 | 2.4 | 2.4 | 2.3 | 9067 |
SHIAWASSEE | 2.7 | 3.0 | 3.1 | 2.9 | 49143 |
TUSCOLA | 2.5 | 2.5 | 2.8 | 2.4 | 40410 |
VAN BUREN | 3.6 | 2.4 | 4.2 | 2.3 | 43098 |
WASHTENAW | 2.2 | 2.0 | 2.6 | 1.9 | 150689 |
WAYNE | 2.1 | 2.0 | 2.5 | 1.9 | 2533436 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
AITKIN | 3.0 | 2.3 | 3.4 | 2.2 | 13412 |
ANOKA | 3.1 | 2.1 | 3.6 | 2.0 | 56974 |
BECKER | 2.2 | 2.1 | 2.5 | 2.0 | 24468 |
BELTRAMI | 2.7 | 2.0 | 3.1 | 1.9 | 24307 |
BENTON | 2.9 | 1.9 | 3.3 | 1.8 | 16496 |
BIG STONE | 3.0 | 1.9 | 3.4 | 1.8 | 9328 |
BLUE EARTH | 4.4 | 2.8 | 5.0 | 2.7 | 40901 |
BROWN | 4.3 | 2.8 | 4.9 | 2.6 | 26650 |
CARLTON | 3.5 | 2.4 | 4.0 | 2.3 | 26001 |
CARVER | 4.3 | 2.0 | 4.9 | 1.9 | 19514 |
CASS | 2.6 | 2.2 | 3.0 | 2.1 | 18302 |
CHIPPEWA | 3.4 | 2.0 | 3.8 | 1.9 | 16561 |
CHISAGO | 3.7 | 2.3 | 4.1 | 2.2 | 12985 |
CLAY | 1.8 | 1.8 | 2.1 | 1.7 | 34069 |
CLEARWATER | 2.3 | 2.1 | 2.7 | 2.0 | 9634 |
COOK | 2.5 | 2.4 | 2.9 | 2.3 | 3104 |
COTTONWOOD | 2.5 | 4.2 | 3.0 | 4.0 | 15937 |
CROW WING | 3.0 | 2.3 | 3.4 | 2.2 | 31410 |
DAKOTA | 5.0 | 1.9 | 5.6 | 1.8 | 61465 |
DODGE | 4.3 | 3.3 | 4.9 | 3.1 | 12890 |
DOUGLAS | 2.5 | 1.8 | 2.9 | 1.8 | 21308 |
FARIBAULT | 5.5 | 3.4 | 6.3 | 3.2 | 23793 |
FILLMORE | 4.2 | 3.9 | 4.9 | 3.7 | 24170 |
FREEBORN | 3.9 | 2.0 | 4.4 | 1.9 | 35950 |
GOODHUE | 4.0 | 3.3 | 4.6 | 3.1 | 32511 |
GRANT | 2.2 | 1.7 | 2.6 | 1.7 | 9258 |
HENNEPIN | 3.5 | 2.1 | 3.9 | 2.0 | 747246 |
HOUSTON | 7.4 | 2.6 | 8.4 | 2.5 | 15349 |
HUBBARD | 2.3 | 2.2 | 2.6 | 2.1 | 10610 |
ISANTI | 3.7 | 2.1 | 4.2 | 2.0 | 12720 |
ITASCA | 2.7 | 2.3 | 3.1 | 2.2 | 35316 |
JACKSON | 2.7 | 4.6 | 3.2 | 4.4 | 15962 |
KANABEC | 3.3 | 2.1 | 3.7 | 2.0 | 9113 |
KANDIYOHI | 3.1 | 2.0 | 3.6 | 1.9 | 29216 |
KITTSON | 2.4 | 2.1 | 2.7 | 2.0 | 9092 |
KOOCHICHING | 3.1 | 2.1 | 3.5 | 2.0 | 17453 |
LAC QUI PARL | 3.5 | 1.9 | 3.9 | 1.8 | 14030 |
LAKE | 2.8 | 2.4 | 3.1 | 2.3 | 10294 |
LAKE OF THE | 2.3 | 2.0 | 2.6 | 1.9 | 4675 |
LE SUEUR | 5.1 | 2.7 | 5.8 | 2.6 | 19436 |
LINCOLN | 2.8 | 3.7 | 3.2 | 3.6 | 9940 |
LYON | 2.7 | 4.1 | 3.2 | 3.9 | 22426 |
MCLEOD | 3.9 | 2.0 | 4.4 | 1.9 | 23133 |
MAHNOMEN | 2.1 | 1.9 | 2.4 | 1.8 | 6756 |
MARSHALL | 2.2 | 1.9 | 2.5 | 1.8 | 15335 |
MARTIN | 3.6 | 4.1 | 4.2 | 3.9 | 26220 |
MEEKER | 3.7 | 1.9 | 4.2 | 1.8 | 18932 |
MILLE LACS | 2.8 | 2.1 | 3.2 | 2.0 | 14905 |
MORRISON | 2.7 | 2.0 | 3.1 | 1.9 | 26171 |
MOWER | 5.7 | 3.1 | 6.5 | 3.0 | 44920 |
MURRAY | 3.3 | 4.2 | 3.9 | 4.0 | 14778 |
NICOLLET | 4.1 | 2.8 | 4.7 | 2.7 | 21891 |
NOBLES | 3.7 | 4.5 | 4.3 | 4.2 | 22832 |
NORMAN | 1.9 | 1.8 | 2.2 | 1.7 | 12202 |
OLMSTED | 4.3 | 2.7 | 4.9 | 2.6 | 55581 |
OTTER TAIL | 2.5 | 2.0 | 2.8 | 1.9 | 50316 |
PENNINGTON | 2.9 | 1.9 | 3.3 | 1.8 | 12751 |
PINE | 3.4 | 2.3 | 3.9 | 2.2 | 17701 |
PIPESTONE | 3.3 | 4.1 | 3.9 | 3.9 | 13835 |
POLK | 2.6 | 1.9 | 3.0 | 1.8 | 36020 |
POPE | 3.1 | 1.9 | 3.5 | 1.8 | 12462 |
RAMSEY | 4.3 | 2.1 | 4.8 | 2.0 | 383891 |
RED LAKE | 2.3 | 1.8 | 2.6 | 1.7 | 6394 |
REDWOOD | 2.8 | 3.7 | 3.2 | 3.6 | 21956 |
RENVILLE | 3.3 | 2.1 | 3.7 | 2.0 | 23653 |
RICE | 4.6 | 2.8 | 5.2 | 2.6 | 37402 |
ROCK | 4.0 | 4.6 | 4.7 | 4.4 | 11528 |
ROSEAU | 2.3 | 2.1 | 2.7 | 2.0 | 13502 |
ST LOUIS | 3.8 | 2.2 | 4.3 | 2.1 | 216914 |
SCOTT | 4.6 | 1.9 | 5.2 | 1.8 | 18789 |
SHERBURNE | 3.1 | 2.0 | 3.6 | 1.9 | 11597 |
SIBLEY | 3.5 | 3.4 | 4.0 | 3.3 | 15997 |
STEARNS | 3.2 | 1.9 | 3.7 | 1.8 | 74793 |
STEELE | 3.7 | 3.3 | 4.3 | 3.1 | 22803 |
STEVENS | 2.6 | 1.9 | 3.0 | 1.8 | 11172 |
SWIFT | 3.4 | 2.0 | 3.9 | 1.9 | 15455 |
TODD | 3.0 | 2.0 | 3.4 | 1.9 | 24441 |
TRAVERSE | 2.4 | 1.9 | 2.7 | 1.8 | 7820 |
WABASHA | 5.4 | 2.7 | 6.1 | 2.6 | 16936 |
WADENA | 2.6 | 2.2 | 3.0 | 2.1 | 12548 |
WASECA | 4.3 | 2.8 | 5.0 | 2.6 | 15421 |
WASHINGTON | 3.6 | 2.0 | 4.1 | 1.9 | 42149 |
WATONWAN | 4.4 | 3.4 | 5.0 | 3.3 | 14130 |
WILKIN | 2.0 | 1.9 | 2.3 | 1.8 | 10600 |
WINONA | 4.0 | 3.3 | 4.6 | 3.1 | 40310 |
WRIGHT | 3.7 | 1.9 | 4.2 | 1.8 | 28656 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAMS | 1.1 | 2.5 | 1.4 | 2.2 | 34585 |
ALCORN | 1.8 | 2.4 | 2.2 | 2.2 | 26359 |
AMITE | 1.3 | 2.0 | 1.6 | 1.8 | 17694 |
ATTALA | 1.1 | 1.7 | 1.4 | 1.6 | 24391 |
BENTON | 1.9 | 2.2 | 2.3 | 2.0 | 8340 |
BOLIVAR | 1.8 | 2.1 | 2.2 | 1.9 | 59372 |
CALHOUN | 1.6 | 1.9 | 1.9 | 1.8 | 17334 |
CARROLL | 1.4 | 1.9 | 1.8 | 1.7 | 13662 |
CHICKASAW | 2.1 | 2.3 | 2.6 | 2.2 | 18080 |
CHOCTAW | 1.1 | 1.7 | 1.4 | 1.6 | 9915 |
CLAIBORNE | 1.3 | 2.3 | 1.6 | 2.1 | 11479 |
CLARKE | 1.1 | 2.3 | 1.4 | 2.1 | 18147 |
CLAY | 1.2 | 1.7 | 1.5 | 1.6 | 18259 |
COAHOMA | 1.8 | 1.9 | 2.3 | 1.8 | 48023 |
COPIAH | 1.1 | 2.3 | 1.4 | 2.1 | 29029 |
COVINGTON | 0.9 | 1.8 | 1.2 | 1.7 | 15018 |
DE SOTO | 2.1 | 2.1 | 2.6 | 1.9 | 24299 |
FORREST | 1.2 | 2.4 | 1.5 | 2.2 | 48316 |
FRANKLIN | 1.3 | 2.5 | 1.7 | 2.3 | 10231 |
GEORGE | 1.0 | 2.4 | 1.3 | 2.2 | 10474 |
GREENE | 1.0 | 2.5 | 1.2 | 2.3 | 8280 |
GRENADA | 1.9 | 2.2 | 2.3 | 2.1 | 18651 |
HANCOCK | 1.1 | 2.3 | 1.4 | 2.1 | 12806 |
HARRISON | 1.0 | 2.3 | 1.3 | 2.1 | 99127 |
HINDS | 1.5 | 2.1 | 1.9 | 1.9 | 161236 |
HOLMES | 1.0 | 1.7 | 1.2 | 1.6 | 30665 |
HUMPHREYS | 1.3 | 1.9 | 1.6 | 1.8 | 21407 |
ISSAQUENA | 1.1 | 2.1 | 1.4 | 1.9 | 4374 |
ITAWAMBA | 1.3 | 1.8 | 1.6 | 1.6 | 16315 |
JACKSON | 1.0 | 2.4 | 1.3 | 2.2 | 41653 |
JASPER | 1.1 | 1.9 | 1.3 | 1.8 | 18060 |
JEFFERSON | 1.3 | 2.3 | 1.6 | 2.1 | 10811 |
JEFFERSON DA | 0.8 | 1.8 | 1.1 | 1.6 | 14668 |
JONES | 0.8 | 1.8 | 1.1 | 1.6 | 58217 |
KEMPER | 1.0 | 1.9 | 1.2 | 1.7 | 14356 |
LAFAYETTE | 1.7 | 2.4 | 2.1 | 2.2 | 22187 |
LAMAR | 1.1 | 2.3 | 1.4 | 2.1 | 13419 |
LAUDERDALE | 1.1 | 2.3 | 1.4 | 2.1 | 65426 |
LAWRENCE | 0.9 | 1.8 | 1.2 | 1.6 | 11612 |
LEAKE | 1.2 | 1.7 | 1.5 | 1.6 | 20357 |
LEE | 1.7 | 2.0 | 2.1 | 1.8 | 39235 |
LEFLORE | 1.3 | 1.9 | 1.6 | 1.7 | 49829 |
LINCOLN | 1.2 | 2.0 | 1.5 | 1.8 | 27418 |
LOWNDES | 0.9 | 1.7 | 1.2 | 1.6 | 41589 |
MADISON | 1.1 | 1.9 | 1.3 | 1.8 | 33450 |
MARION | 1.2 | 2.2 | 1.5 | 2.0 | 23684 |
MARSHALL | 2.1 | 2.3 | 2.6 | 2.2 | 24850 |
MONROE | 1.3 | 1.8 | 1.6 | 1.6 | 35444 |
MONTGOMERY | 1.4 | 1.9 | 1.7 | 1.8 | 13985 |
NESHOBA | 1.1 | 1.7 | 1.4 | 1.6 | 23690 |
NEWTON | 1.2 | 1.9 | 1.5 | 1.8 | 21340 |
NOXUBEE | 1.0 | 1.7 | 1.3 | 1.6 | 18669 |
OKTIBBEHA | 1.1 | 1.9 | 1.3 | 1.8 | 25252 |
PANOLA | 2.3 | 2.3 | 2.8 | 2.2 | 30216 |
PEARL RIVER | 1.3 | 2.3 | 1.6 | 2.1 | 21393 |
PERRY | 1.0 | 2.2 | 1.3 | 2.0 | 8952 |
PIKE | 1.1 | 2.3 | 1.4 | 2.1 | 35101 |
PONTOTOC | 2.2 | 2.5 | 2.6 | 2.3 | 18821 |
PRENTISS | 1.7 | 2.4 | 2.1 | 2.2 | 19023 |
QUITMAN | 2.1 | 2.3 | 2.6 | 2.1 | 23820 |
RANKIN | 1.0 | 1.7 | 1.3 | 1.6 | 31194 |
SCOTT | 1.1 | 1.9 | 1.4 | 1.8 | 21470 |
SHARKEY | 1.2 | 2.0 | 1.5 | 1.8 | 11984 |
SIMPSON | 0.9 | 1.7 | 1.2 | 1.6 | 21238 |
SMITH | 1.0 | 1.9 | 1.2 | 1.7 | 15702 |
STONE | 1.1 | 2.5 | 1.4 | 2.2 | 6579 |
SUNFLOWER | 1.2 | 1.9 | 1.5 | 1.8 | 51657 |
TALLAHATCHIE | 2.2 | 2.2 | 2.7 | 2.1 | 27767 |
TATE | 2.2 | 2.5 | 2.7 | 2.3 | 18067 |
TIPPAH | 2.1 | 2.3 | 2.6 | 2.2 | 16492 |
TISHOMINGO | 1.6 | 2.3 | 2.0 | 2.1 | 14844 |
TUNICA | 1.8 | 2.3 | 2.2 | 2.1 | 19613 |
UNION | 1.9 | 2.6 | 2.3 | 2.4 | 19686 |
WALTHALL | 1.2 | 2.2 | 1.5 | 2.0 | 14691 |
WARREN | 1.2 | 2.3 | 1.6 | 2.1 | 40716 |
WASHINGTON | 1.2 | 1.9 | 1.5 | 1.8 | 73964 |
WAYNE | 1.0 | 2.3 | 1.2 | 2.1 | 16693 |
WEBSTER | 1.2 | 1.7 | 1.5 | 1.6 | 11174 |
WILKINSON | 1.2 | 2.3 | 1.5 | 2.1 | 13740 |
WINSTON | 1.1 | 1.7 | 1.3 | 1.6 | 20966 |
YALOBUSHA | 2.3 | 2.4 | 2.9 | 2.2 | 14045 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAIR | 6.6 | 2.4 | 7.8 | 2.3 | 19863 |
ANDREW | 4.0 | 1.7 | 4.7 | 1.6 | 11442 |
ATCHISON | 2.3 | 3.9 | 2.8 | 3.7 | 10311 |
AUDRAIN | 5.6 | 3.1 | 6.7 | 2.9 | 24790 |
BARRY | 4.8 | 1.8 | 5.7 | 1.7 | 20550 |
BARTON | 4.7 | 2.0 | 5.5 | 1.9 | 12014 |
BATES | 4.2 | 1.8 | 5.0 | 1.7 | 16842 |
BENTON | 4.9 | 2.1 | 5.7 | 2.0 | 8934 |
BOLLINGER | 2.9 | 1.8 | 3.4 | 1.7 | 10236 |
BOONE | 4.8 | 1.9 | 5.7 | 1.8 | 51310 |
BUCHANAN | 4.1 | 1.9 | 4.8 | 1.8 | 94171 |
BUTLER | 3.3 | 1.9 | 4.0 | 1.8 | 36411 |
CALDWELL | 4.0 | 2.3 | 4.7 | 2.1 | 9465 |
CALLAWAY | 4.9 | 2.0 | 5.8 | 1.9 | 23548 |
CAMDEN | 5.4 | 2.0 | 6.3 | 1.9 | 8391 |
CAPE GIRARDE | 3.4 | 1.9 | 4.1 | 1.7 | 39938 |
CARROLL | 3.5 | 2.2 | 4.2 | 2.1 | 14852 |
CARTER | 4.3 | 2.0 | 5.1 | 1.9 | 4435 |
CASS | 4.6 | 1.9 | 5.4 | 1.8 | 23733 |
CEDAR | 5.5 | 2.0 | 6.5 | 1.9 | 10035 |
CHARITON | 4.1 | 2.2 | 4.8 | 2.1 | 14004 |
CHRISTIAN | 4.3 | 1.9 | 5.0 | 1.8 | 12392 |
CLARK | 7.2 | 2.4 | 8.4 | 2.3 | 8886 |
CLAY | 3.7 | 1.8 | 4.4 | 1.7 | 63182 |
CLINTON | 3.7 | 2.4 | 4.4 | 2.2 | 11672 |
COLE | 4.9 | 2.0 | 5.8 | 1.9 | 37715 |
COOPER | 4.8 | 2.1 | 5.7 | 1.9 | 16119 |
CRAWFORD | 4.1 | 1.9 | 4.9 | 1.7 | 12052 |
DADE | 4.0 | 2.0 | 4.7 | 1.9 | 8582 |
DALLAS | 4.4 | 2.2 | 5.2 | 2.0 | 9935 |
DAVIESS | 3.3 | 3.1 | 3.9 | 2.9 | 10469 |
DE KALB | 4.9 | 2.1 | 5.7 | 2.0 | 7702 |
DENT | 4.1 | 2.1 | 4.8 | 1.9 | 10729 |
DOUGLAS | 4.5 | 2.1 | 5.3 | 2.0 | 11368 |
DUNKLIN | 3.1 | 2.0 | 3.8 | 1.9 | 42699 |
FRANKLIN | 4.9 | 2.6 | 5.8 | 2.4 | 39666 |
GASCONADE | 3.7 | 1.9 | 4.4 | 1.8 | 12281 |
GENTRY | 4.3 | 1.9 | 5.1 | 1.8 | 10080 |
GREENE | 4.5 | 2.1 | 5.3 | 2.0 | 113942 |
GRUNDY | 4.0 | 2.6 | 4.8 | 2.4 | 12799 |
HARRISON | 3.9 | 2.7 | 4.6 | 2.5 | 13044 |
HENRY | 4.9 | 2.0 | 5.7 | 1.9 | 19693 |
HICKORY | 3.9 | 1.9 | 4.6 | 1.8 | 5018 |
HOLT | 3.6 | 1.8 | 4.3 | 1.7 | 9008 |
HOWARD | 4.5 | 1.8 | 5.3 | 1.7 | 11436 |
HOWELL | 4.7 | 2.1 | 5.5 | 2.0 | 22431 |
IRON | 4.0 | 1.8 | 4.7 | 1.7 | 8856 |
JACKSON | 3.0 | 1.8 | 3.7 | 1.7 | 575755 |
JASPER | 5.3 | 2.2 | 6.3 | 2.0 | 79002 |
JEFFERSON | 3.6 | 2.6 | 4.4 | 2.4 | 50062 |
JOHNSON | 4.2 | 1.9 | 5.0 | 1.8 | 24229 |
KNOX | 7.0 | 2.7 | 8.3 | 2.6 | 7171 |
LACLEDE | 4.5 | 2.1 | 5.3 | 2.0 | 19003 |
LAFAYETTE | 5.4 | 1.9 | 6.4 | 1.8 | 25276 |
LAWRENCE | 5.5 | 2.1 | 6.4 | 1.9 | 23354 |
LEWIS | 6.9 | 2.8 | 8.1 | 2.6 | 10838 |
LINCOLN | 4.8 | 2.7 | 5.6 | 2.6 | 14037 |
LINN | 5.2 | 3.1 | 6.1 | 2.9 | 17999 |
LIVINGSTON | 4.7 | 2.1 | 5.5 | 2.0 | 16206 |
MCDONALD | 4.5 | 2.0 | 5.3 | 1.9 | 13145 |
MACON | 5.8 | 2.7 | 6.8 | 2.6 | 17540 |
MADISON | 3.0 | 1.8 | 3.5 | 1.7 | 9948 |
MARIES | 4.7 | 1.8 | 5.5 | 1.7 | 7363 |
MARION | 6.3 | 2.7 | 7.5 | 2.5 | 29663 |
MERCER | 4.5 | 1.9 | 5.3 | 1.8 | 6605 |
MILLER | 5.3 | 2.1 | 6.3 | 1.9 | 13763 |
MISSISSIPPI | 3.0 | 2.1 | 3.6 | 1.9 | 21765 |
MONITEAU | 4.9 | 1.9 | 5.8 | 1.8 | 10697 |
MONROE | 5.4 | 2.2 | 6.3 | 2.1 | 11046 |
MONTGOMERY | 3.9 | 1.8 | 4.7 | 1.7 | 11365 |
MORGAN | 5.8 | 1.9 | 6.8 | 1.8 | 9895 |
NEW MADRID | 3.3 | 1.9 | 4.0 | 1.8 | 36006 |
NEWTON | 4.9 | 1.9 | 5.8 | 1.8 | 29033 |
NODAWAY | 4.9 | 2.1 | 5.7 | 2.0 | 23265 |
OREGON | 4.3 | 1.9 | 5.2 | 1.8 | 11075 |
OSAGE | 5.2 | 2.0 | 6.1 | 1.9 | 11120 |
OZARK | 4.2 | 2.0 | 4.9 | 1.9 | 7959 |
PEMISCOT | 2.9 | 1.9 | 3.5 | 1.7 | 42425 |
PERRY | 2.7 | 2.1 | 3.2 | 1.9 | 14791 |
PETTIS | 5.1 | 1.9 | 6.1 | 1.8 | 33081 |
PHELPS | 4.1 | 2.1 | 4.9 | 2.0 | 23162 |
PIKE | 5.6 | 2.7 | 6.6 | 2.6 | 16786 |
PLATTE | 3.9 | 1.9 | 4.6 | 1.8 | 18533 |
POLK | 5.0 | 2.0 | 5.9 | 1.9 | 15083 |
PULASKI | 4.8 | 2.1 | 5.7 | 1.9 | 25766 |
PUTNAM | 6.1 | 2.8 | 7.2 | 2.6 | 8249 |
RALLS | 6.3 | 2.9 | 7.5 | 2.7 | 8429 |
RANDOLPH | 4.1 | 2.2 | 4.8 | 2.1 | 22538 |
RAY | 5.3 | 1.9 | 6.2 | 1.8 | 15993 |
REYNOLDS | 4.0 | 2.0 | 4.7 | 1.9 | 6169 |
RIPLEY | 3.5 | 2.0 | 4.1 | 1.9 | 10428 |
ST CHARLES | 3.7 | 1.9 | 4.5 | 1.8 | 39668 |
ST CLAIR | 3.6 | 1.8 | 4.3 | 1.7 | 9611 |
ST FRANCOIS | 3.7 | 1.9 | 4.4 | 1.8 | 35800 |
ST LOUIS | 3.6 | 1.9 | 4.3 | 1.7 | 1343947 |
STE GENEVIEV | 2.9 | 1.9 | 3.5 | 1.8 | 11614 |
SALINE | 4.2 | 1.8 | 5.0 | 1.7 | 26040 |
SCHUYLER | 5.4 | 2.8 | 6.4 | 2.6 | 5459 |
SCOTLAND | 5.9 | 2.8 | 6.9 | 2.6 | 6972 |
SCOTT | 2.7 | 1.9 | 3.3 | 1.8 | 32801 |
SHANNON | 4.2 | 2.1 | 5.0 | 1.9 | 7829 |
SHELBY | 7.0 | 2.5 | 8.2 | 2.4 | 9448 |
STODDARD | 3.2 | 1.9 | 3.9 | 1.8 | 31776 |
STONE | 3.3 | 1.8 | 3.9 | 1.7 | 9081 |
SULLIVAN | 5.4 | 2.8 | 6.4 | 2.6 | 10232 |
TANEY | 3.1 | 1.9 | 3.7 | 1.7 | 10024 |
TEXAS | 4.9 | 2.1 | 5.9 | 1.9 | 18468 |
VERNON | 4.2 | 2.0 | 4.9 | 1.9 | 21779 |
WARREN | 3.6 | 1.8 | 4.3 | 1.7 | 8127 |
WASHINGTON | 3.8 | 1.8 | 4.6 | 1.7 | 14543 |
WAYNE | 4.0 | 2.2 | 4.8 | 2.0 | 9717 |
WEBSTER | 4.2 | 2.1 | 5.0 | 1.9 | 14514 |
WORTH | 6.2 | 2.7 | 7.3 | 2.6 | 4616 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
BEAVERHEAD | 10.1 | 3.3 | 11.4 | 3.1 | 6891 |
HORN | 6.4 | 2.2 | 7.1 | 2.1 | 9904 |
BLAINE | 8.2 | 2.3 | 9.1 | 2.2 | 8334 |
BROADWATER | 10.3 | 3.1 | 11.5 | 3.0 | 2875 |
CARBON | 6.0 | 2.5 | 6.7 | 2.4 | 9421 |
CARTER | 6.8 | 2.1 | 7.6 | 2.1 | 2671 |
CASCADE | 7.9 | 2.3 | 8.8 | 2.2 | 61695 |
CHOUTEAU | 8.1 | 3.1 | 9.0 | 3.0 | 7135 |
CUSTER | 6.5 | 2.1 | 7.3 | 2.1 | 12899 |
DANIELS | 5.6 | 1.9 | 6.3 | 1.9 | 3862 |
DAWSON | 6.7 | 2.1 | 7.5 | 2.0 | 10460 |
DEER LODGE | 7.9 | 3.4 | 9.0 | 3.2 | 17438 |
FALLON | 6.9 | 2.2 | 7.8 | 2.1 | 3803 |
FERGUS | 9.0 | 2.3 | 10.1 | 2.2 | 14018 |
FLATHEAD | 6.2 | 3.1 | 6.9 | 2.9 | 32123 |
GALLATIN | 8.7 | 2.9 | 9.8 | 2.7 | 23661 |
GARFIELD | 7.8 | 2.0 | 8.7 | 2.0 | 2091 |
GLACIER | 6.0 | 2.0 | 6.7 | 2.0 | 10462 |
GOLDEN VALLE | 6.3 | 2.0 | 7.0 | 2.0 | 1282 |
GRANITE | 5.7 | 2.5 | 6.4 | 2.4 | 2877 |
HILL | 6.5 | 3.1 | 7.3 | 2.9 | 16144 |
JEFFERSON | 10.0 | 3.2 | 11.3 | 3.1 | 4133 |
JUDITH BASIN | 9.8 | 2.8 | 10.9 | 2.7 | 3148 |
LAKE | 6.7 | 2.4 | 7.4 | 2.3 | 13525 |
LEWIS AND CL | 8.3 | 2.7 | 9.2 | 2.6 | 26013 |
LIBERTY | 6.1 | 2.4 | 6.8 | 2.3 | 2373 |
LINCOLN | 3.9 | 2.8 | 4.3 | 2.7 | 10327 |
MCCONE | 6.9 | 2.0 | 7.8 | 1.9 | 3282 |
MADISON | 9.6 | 3.1 | 10.7 | 2.9 | 5666 |
MEAGHER | 14.1 | 3.0 | 15.8 | 2.9 | 2300 |
MINERAL | 5.4 | 3.4 | 6.1 | 3.3 | 2486 |
MISSOULA | 6.1 | 3.5 | 7.0 | 3.4 | 39388 |
MUSSELSHELL | 6.1 | 2.2 | 6.8 | 2.1 | 5188 |
PARK | 7.9 | 2.6 | 8.8 | 2.5 | 12550 |
PETROLEUM | 8.3 | 2.0 | 9.3 | 2.0 | 970 |
PHILLIPS | 7.4 | 2.0 | 8.3 | 1.9 | 6200 |
PONDERA | 6.0 | 2.1 | 6.7 | 2.1 | 6930 |
POWDER RIVER | 6.2 | 2.1 | 6.9 | 2.0 | 2598 |
POWELL | 9.9 | 3.4 | 11.1 | 3.3 | 6597 |
PRAIRIE | 5.7 | 2.1 | 6.5 | 2.1 | 2347 |
RAVALLI | 4.4 | 2.6 | 4.9 | 2.5 | 12779 |
RICHLAND | 6.2 | 2.1 | 7.0 | 2.0 | 10426 |
ROOSEVELT | 6.3 | 1.9 | 7.2 | 1.9 | 10497 |
ROSEBUD | 6.8 | 1.9 | 7.6 | 1.9 | 6404 |
SANDERS | 4.1 | 3.2 | 4.6 | 3.1 | 6942 |
SHERIDAN | 6.2 | 2.0 | 7.0 | 1.9 | 6585 |
SILVER BOW | 8.0 | 3.5 | 9.1 | 3.4 | 47589 |
STILLWATER | 5.2 | 2.6 | 5.8 | 2.5 | 5466 |
SWEET GRASS | 6.2 | 2.3 | 7.0 | 2.2 | 3478 |
TETON | 6.9 | 2.6 | 7.7 | 2.5 | 7260 |
TOOLE | 6.7 | 2.4 | 7.4 | 2.3 | 7310 |
TREASURE | 5.3 | 1.9 | 6.0 | 1.9 | 1379 |
VALLEY | 5.8 | 1.9 | 6.5 | 1.9 | 13790 |
WHEATLAND | 8.0 | 2.5 | 9.0 | 2.4 | 3119 |
WIBAUX | 6.3 | 2.0 | 7.1 | 2.0 | 1820 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAMS | 4.2 | 2.8 | 4.9 | 2.7 | 28895 |
ANTELOPE | 4.3 | 3.9 | 5.1 | 3.7 | 11012 |
ARTHUR | 5.3 | 2.2 | 6.1 | 2.1 | 751 |
BANNER | 3.1 | 3.1 | 3.6 | 2.9 | 1304 |
BLAINE | 5.2 | 2.1 | 6.1 | 2.0 | 1123 |
BOONE | 5.4 | 1.9 | 6.2 | 1.8 | 10045 |
BOX BUTTE | 4.3 | 1.8 | 5.0 | 1.7 | 12026 |
BOYD | 5.4 | 2.3 | 6.2 | 2.2 | 4739 |
BROWN | 5.4 | 2.0 | 6.2 | 1.9 | 4855 |
BUFFALO | 3.9 | 3.3 | 4.6 | 3.2 | 25600 |
BURT | 5.0 | 1.8 | 5.8 | 1.7 | 10964 |
BUTLER | 3.8 | 3.7 | 4.4 | 3.5 | 10958 |
CASS | 3.0 | 3.8 | 3.5 | 3.6 | 16983 |
CEDAR | 6.4 | 2.8 | 7.3 | 2.6 | 13641 |
CHASE | 4.9 | 2.3 | 5.8 | 2.2 | 4812 |
CHERRY | 7.2 | 2.5 | 8.4 | 2.4 | 8320 |
CHEYENNE | 5.6 | 2.2 | 6.5 | 2.1 | 13248 |
CLAY | 3.0 | 3.9 | 3.5 | 3.7 | 8706 |
COLFAX | 2.0 | 5.2 | 2.5 | 4.9 | 9832 |
CUMING | 5.2 | 3.9 | 6.0 | 3.7 | 12757 |
CUSTER | 3.0 | 4.3 | 3.6 | 4.0 | 18048 |
DAKOTA | 3.8 | 3.9 | 4.6 | 3.6 | 11152 |
DAWES | 4.2 | 1.8 | 4.9 | 1.7 | 9636 |
DAWSON | 5.9 | 2.0 | 6.9 | 1.9 | 19402 |
DEUEL | 4.3 | 2.4 | 5.0 | 2.2 | 3246 |
DIXON | 5.2 | 4.0 | 6.1 | 3.7 | 8695 |
DODGE | 4.9 | 1.9 | 5.6 | 1.8 | 28907 |
DOUGLAS | 2.7 | 3.9 | 3.3 | 3.6 | 307573 |
DUNDY | 5.0 | 2.2 | 5.8 | 2.1 | 4021 |
FILLMORE | 3.6 | 3.0 | 4.2 | 2.9 | 9532 |
FRANKLIN | 4.9 | 2.0 | 5.8 | 1.9 | 6400 |
FRONTIER | 5.9 | 2.2 | 6.8 | 2.1 | 4871 |
FURNAS | 5.4 | 2.2 | 6.4 | 2.1 | 8673 |
GAGE | 3.7 | 2.9 | 4.4 | 2.7 | 27529 |
GARDEN | 5.3 | 2.2 | 6.1 | 2.1 | 3840 |
GARFIELD | 3.8 | 4.1 | 4.6 | 3.9 | 2826 |
GOSPER | 5.5 | 2.0 | 6.4 | 1.9 | 2631 |
GRANT | 4.7 | 1.9 | 5.4 | 1.8 | 1037 |
GREELEY | 2.0 | 5.2 | 2.5 | 4.9 | 5163 |
HALL | 5.1 | 2.1 | 5.9 | 2.0 | 33708 |
HAMILTON | 3.7 | 2.9 | 4.4 | 2.7 | 8749 |
HARLAN | 5.3 | 2.0 | 6.1 | 1.9 | 6294 |
HAYES | 4.6 | 2.1 | 5.4 | 2.0 | 2195 |
HITCHCOCK | 4.7 | 1.9 | 5.5 | 1.8 | 5423 |
HOLT | 3.4 | 5.0 | 4.2 | 4.7 | 14374 |
HOOKER | 5.4 | 2.0 | 6.2 | 1.9 | 1090 |
HOWARD | 4.5 | 3.6 | 5.3 | 3.4 | 6936 |
JEFFERSON | 4.6 | 2.2 | 5.3 | 2.1 | 12774 |
JOHNSON | 3.3 | 3.0 | 3.8 | 2.9 | 6836 |
KEARNEY | 4.6 | 2.0 | 5.4 | 1.9 | 6483 |
KEITH | 4.7 | 2.5 | 5.5 | 2.3 | 7670 |
KEYA PAHA | 4.7 | 2.1 | 5.4 | 2.0 | 1952 |
KIMBALL | 3.5 | 2.5 | 4.1 | 2.3 | 5848 |
KNOX | 5.6 | 1.9 | 6.4 | 1.8 | 14172 |
LANCASTER | 3.6 | 3.1 | 4.2 | 2.9 | 134839 |
LINCOLN | 6.4 | 2.1 | 7.5 | 2.0 | 27852 |
LOGAN | 5.6 | 2.2 | 6.6 | 2.1 | 1253 |
LOUP | 3.8 | 4.1 | 4.5 | 3.9 | 1242 |
MCPHERSON | 3.8 | 2.3 | 4.5 | 2.2 | 790 |
MADISON | 4.3 | 3.9 | 5.2 | 3.6 | 24681 |
MERRICK | 4.2 | 3.5 | 5.0 | 3.3 | 8622 |
MORRILL | 5.0 | 1.9 | 5.8 | 1.8 | 7751 |
NANCE | 5.2 | 3.3 | 6.0 | 3.1 | 6141 |
NEMAHA | 3.0 | 3.0 | 3.6 | 2.9 | 10178 |
NUCKOLLS | 5.1 | 2.3 | 6.0 | 2.2 | 9023 |
OTOE | 3.0 | 3.0 | 3.6 | 2.9 | 16823 |
PAWNEE | 4.2 | 1.8 | 4.9 | 1.7 | 6154 |
PERKINS | 4.3 | 2.4 | 5.1 | 2.2 | 4547 |
PHELPS | 5.6 | 2.3 | 6.5 | 2.2 | 9367 |
PIERCE | 5.6 | 1.9 | 6.4 | 1.8 | 9117 |
PLATTE | 3.7 | 3.6 | 4.4 | 3.4 | 21643 |
POLK | 4.2 | 3.5 | 5.0 | 3.3 | 7693 |
RED WILLOW | 4.5 | 2.0 | 5.3 | 1.9 | 12962 |
RICHARDSON | 4.1 | 1.9 | 4.8 | 1.8 | 15620 |
ROCK | 4.0 | 1.9 | 4.6 | 1.8 | 2824 |
SALINE | 4.6 | 2.8 | 5.4 | 2.6 | 13405 |
SARPY | 4.7 | 1.9 | 5.4 | 1.8 | 22318 |
SAUNDERS | 3.0 | 3.9 | 3.5 | 3.7 | 17070 |
SCOTTS BLUFF | 3.8 | 1.7 | 4.4 | 1.6 | 33886 |
SEWARD | 4.4 | 2.8 | 5.2 | 2.7 | 13339 |
SHERIDAN | 5.0 | 1.9 | 5.7 | 1.8 | 9327 |
SHERMAN | 3.8 | 3.7 | 4.5 | 3.5 | 5981 |
SIOUX | 7.0 | 2.5 | 8.0 | 2.4 | 2888 |
STANTON | 3.9 | 4.4 | 4.6 | 4.1 | 6133 |
THAYER | 4.7 | 2.3 | 5.5 | 2.2 | 9951 |
THOMAS | 5.2 | 1.9 | 6.0 | 1.8 | 1155 |
THURSTON | 4.4 | 4.1 | 5.2 | 3.9 | 8017 |
VALLEY | 4.0 | 3.6 | 4.7 | 3.4 | 6973 |
WASHINGTON | 2.5 | 4.3 | 3.0 | 4.0 | 11762 |
WAYNE | 4.1 | 4.0 | 4.8 | 3.8 | 10059 |
WEBSTER | 5.0 | 2.2 | 5.8 | 2.1 | 6899 |
WHEELER | 5.6 | 2.0 | 6.4 | 1.9 | 1428 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
CHURCHILL | 0.9 | 2.1 | 1.3 | 1.9 | 7135 |
CLARK1 | 1.8 | 2.6 | 3.0 | 2.3 | 2593 |
CLARK2 | 0.6 | 2.0 | 0.8 | 2.0 | 74220 |
CLARK3 | 2.0 | 1.8 | 2.0 | 1.8 | 4933 |
DOUGLAS | 0.7 | 2.2 | 1.0 | 2.0 | 2647 |
ELKO | 1.2 | 1.9 | 1.7 | 1.7 | 11811 |
ESMERALDA1 | 0.4 | 2.6 | 0.5 | 2.3 | 267 |
ESMERALDA2 | 0.6 | 2.4 | 0.9 | 2.2 | 347 |
EUREKA | 1.5 | 2.0 | 2.1 | 1.8 | 840 |
HUMBOLDT | 1.0 | 2.1 | 1.3 | 1.9 | 5209 |
LANDER1 | 0.7 | 2.2 | 0.9 | 2.0 | 406 |
LANDER2 | 1.0 | 2.1 | 1.4 | 1.9 | 1325 |
LINCOLN1 | 3.7 | 2.0 | 5.0 | 1.8 | 2887 |
LINCOLN2 | 1.9 | 2.0 | 2.7 | 1.8 | 355 |
LYON | 0.7 | 2.1 | 1.0 | 1.9 | 4728 |
MINERAL | 0.9 | 2.2 | 1.2 | 2.0 | 5885 |
NYE1 | 0.6 | 2.8 | 0.9 | 2.5 | 816 |
NYE2 | 3.3 | 1.9 | 5.0 | 1.7 | 2065 |
NYE3 | 0.1 | 2.1 | 0.1 | 1.9 | 760 |
PERSHING | 0.6 | 2.0 | 0.9 | 1.8 | 3141 |
STOREY | 0.7 | 2.1 | 1.0 | 1.9 | 626 |
WASHOE | 0.8 | 2.1 | 1.1 | 1.9 | 64879 |
WHITE PINE1 | 1.9 | 1.9 | 2.6 | 1.7 | 8936 |
WHITE PINE2 | 2.4 | 1.9 | 3.4 | 1.7 | 296 |
WHITE PINE3 | 2.1 | 2.0 | 3.0 | 1.8 | 358 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
BELKNAP | 2.6 | 2.1 | 3.0 | 2.0 | 27605 |
CARROLL | 2.2 | 2.3 | 2.5 | 2.2 | 15849 |
CHESHIRE | 2.9 | 2.0 | 3.4 | 1.9 | 40739 |
COOS | 2.9 | 2.2 | 3.3 | 2.1 | 36442 |
GRAFTON | 2.9 | 2.2 | 3.3 | 2.1 | 48321 |
HILLSBOROUGH | 2.8 | 2.1 | 3.2 | 2.0 | 165985 |
MERRIMACK | 2.4 | 2.4 | 2.8 | 2.2 | 65046 |
ROCKINGHAM | 2.3 | 2.1 | 2.7 | 2.0 | 82375 |
STRAFFORD | 1.8 | 2.0 | 2.1 | 1.9 | 55068 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ATLANTIC | 1.4 | 2.1 | 1.7 | 1.9 | 144503 |
BERGEN | 1.7 | 1.8 | 2.0 | 1.7 | 641614 |
BURLINGTON | 1.1 | 3.5 | 1.4 | 3.3 | 173558 |
CAMDEN | 1.3 | 2.0 | 1.6 | 1.8 | 339544 |
CAPE MAY | 1.6 | 2.0 | 1.9 | 1.9 | 41983 |
CUMBERLAND | 1.5 | 1.9 | 1.9 | 1.8 | 96357 |
ESSEX | 1.8 | 1.9 | 2.2 | 1.7 | 913427 |
GLOUCESTER | 1.4 | 2.0 | 1.8 | 1.8 | 110048 |
HUDSON | 1.7 | 1.9 | 2.0 | 1.7 | 631840 |
HUNTERDON | 1.4 | 2.0 | 1.7 | 1.8 | 47570 |
MERCER | 1.5 | 2.0 | 1.8 | 1.8 | 245338 |
MIDDLESEX | 1.6 | 1.9 | 1.9 | 1.7 | 336692 |
MONMOUTH | 1.5 | 2.3 | 1.9 | 2.2 | 271681 |
MORRIS | 1.5 | 1.7 | 1.9 | 1.6 | 205703 |
OCEAN | 1.7 | 2.4 | 2.0 | 2.2 | 78560 |
PASSAIC | 1.7 | 1.9 | 2.1 | 1.7 | 366643 |
SALEM | 1.4 | 2.0 | 1.7 | 1.8 | 53419 |
SOMERSET | 1.5 | 1.9 | 1.9 | 1.7 | 118117 |
SUSSEX | 1.6 | 1.9 | 1.9 | 1.7 | 40724 |
UNION | 1.7 | 1.9 | 2.1 | 1.7 | 443241 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
BERNALILLO | 1.7 | 1.8 | 2.3 | 1.7 | 195195 |
CATRON | 0.7 | 1.8 | 0.9 | 1.6 | 3212 |
CHAVES | 1.2 | 2.1 | 1.7 | 1.9 | 47845 |
COLFAX | 1.3 | 1.8 | 1.7 | 1.6 | 15503 |
CURRY | 1.1 | 1.9 | 1.5 | 1.7 | 27320 |
DE BACA | 1.2 | 1.9 | 1.6 | 1.8 | 3264 |
DONA ANA | 0.3 | 1.8 | 0.4 | 1.7 | 48225 |
EDDY | 0.6 | 1.8 | 0.8 | 1.7 | 44953 |
GRANT | 0.3 | 1.8 | 0.4 | 1.6 | 20394 |
GUADALUPE | 1.4 | 1.9 | 1.8 | 1.7 | 6277 |
HARDING | 1.3 | 1.7 | 1.7 | 1.6 | 2531 |
HIDALGO | 0.3 | 1.8 | 0.3 | 1.7 | 5038 |
LEA | 0.5 | 1.8 | 0.7 | 1.7 | 40370 |
LINCOLN | 1.3 | 2.1 | 1.7 | 1.9 | 7552 |
LOS ALAMOS | 2.5 | 1.8 | 3.0 | 1.7 | 11565 |
LUNA | 0.3 | 1.8 | 0.4 | 1.7 | 9212 |
MCKINLEY | 2.3 | 1.9 | 3.1 | 1.7 | 31598 |
MORA | 1.3 | 1.7 | 1.7 | 1.6 | 7579 |
OTERO | 0.3 | 1.8 | 0.5 | 1.6 | 24288 |
QUAY | 1.3 | 1.8 | 1.8 | 1.7 | 13251 |
RIO ARRIBA | 1.1 | 1.9 | 1.5 | 1.7 | 24658 |
ROOSEVELT | 1.1 | 2.0 | 1.5 | 1.8 | 16319 |
SANDOVAL | 2.0 | 1.9 | 2.7 | 1.7 | 13190 |
SAN JUAN | 1.2 | 1.9 | 1.7 | 1.7 | 33173 |
SAN MIGUEL | 1.3 | 1.8 | 1.8 | 1.6 | 25222 |
SANTA FE | 1.7 | 1.9 | 2.3 | 1.7 | 41052 |
SIERRA | 0.4 | 1.8 | 0.6 | 1.6 | 6854 |
SOCORRO | 0.8 | 1.8 | 1.1 | 1.6 | 9884 |
TAOS | 1.0 | 1.8 | 1.4 | 1.6 | 16634 |
TORRANCE | 1.8 | 1.9 | 2.5 | 1.7 | 7367 |
UNION | 1.3 | 1.8 | 1.8 | 1.6 | 6819 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ALBANY | 2.9 | 2.3 | 3.5 | 2.1 | 253645 |
ALLEGANY | 2.3 | 2.1 | 2.8 | 2.0 | 43864 |
BRONX | 2.0 | 2.0 | 2.4 | 1.9 | 1440030 |
BROOME | 1.2 | 2.1 | 1.5 | 2.0 | 196583 |
CATTARAUGUS | 2.5 | 2.0 | 2.9 | 1.9 | 78878 |
CAYUGA | 1.7 | 1.9 | 2.0 | 1.8 | 71753 |
CHAUTAUQUA | 2.5 | 2.0 | 2.9 | 1.9 | 139521 |
CHEMUNG | 1.4 | 2.1 | 1.6 | 2.0 | 91873 |
CHENANGO | 1.6 | 2.1 | 1.9 | 2.0 | 40882 |
CLINTON | 3.3 | 2.5 | 3.8 | 2.4 | 61742 |
COLUMBIA | 3.2 | 2.3 | 3.7 | 2.1 | 44941 |
CORTLAND | 1.8 | 2.1 | 2.1 | 2.0 | 38839 |
DELAWARE | 2.1 | 2.0 | 2.5 | 1.9 | 44048 |
DUTCHESS | 2.5 | 2.0 | 2.9 | 1.9 | 153453 |
ERIE | 2.5 | 2.0 | 3.0 | 1.8 | 969556 |
ESSEX | 3.6 | 2.3 | 4.2 | 2.1 | 35172 |
FRANKLIN | 2.8 | 2.4 | 3.2 | 2.3 | 44792 |
FULTON | 2.9 | 2.7 | 3.4 | 2.5 | 51140 |
GENESEE | 2.7 | 2.0 | 3.2 | 1.9 | 50312 |
GREENE | 2.8 | 2.1 | 3.2 | 2.0 | 29865 |
HAMILTON | 2.9 | 2.3 | 3.4 | 2.1 | 4172 |
HERKIMER | 2.9 | 2.2 | 3.4 | 2.1 | 63523 |
JEFFERSON | 2.8 | 1.9 | 3.3 | 1.8 | 86505 |
KINGS | 2.0 | 2.0 | 2.4 | 1.9 | 2691063 |
LEWIS | 2.5 | 2.0 | 2.9 | 1.9 | 22830 |
LIVINGSTON | 2.6 | 2.1 | 3.1 | 2.0 | 41872 |
MADISON | 2.2 | 2.1 | 2.6 | 2.0 | 49795 |
MONROE | 1.5 | 1.9 | 1.7 | 1.8 | 529604 |
MONTGOMERY | 2.1 | 2.3 | 2.5 | 2.2 | 58598 |
NASSAU | 2.5 | 1.8 | 3.0 | 1.7 | 939411 |
NEW YORK | 2.0 | 2.0 | 2.3 | 1.9 | 1848830 |
NIAGARA | 2.4 | 1.9 | 2.8 | 1.8 | 212214 |
ONEIDA | 2.1 | 1.9 | 2.5 | 1.8 | 240513 |
ONONDAGA | 1.5 | 1.8 | 1.8 | 1.7 | 376277 |
ONTARIO | 2.8 | 2.1 | 3.3 | 2.0 | 63531 |
ORANGE | 2.1 | 2.0 | 2.4 | 1.9 | 165637 |
ORLEANS | 1.7 | 1.9 | 2.0 | 1.8 | 31671 |
OSWEGO | 2.4 | 1.9 | 2.8 | 1.8 | 80974 |
OTSEGO | 2.1 | 2.0 | 2.5 | 1.9 | 51263 |
PUTNAM | 2.1 | 1.9 | 2.4 | 1.8 | 25163 |
QUEENS | 1.8 | 1.9 | 2.2 | 1.8 | 1660811 |
RENSSELAER | 3.2 | 2.7 | 3.8 | 2.5 | 136849 |
RICHMOND | 2.1 | 1.9 | 2.4 | 1.8 | 204492 |
ROCKLAND | 1.9 | 2.1 | 2.2 | 2.0 | 109476 |
ST LAWRENCE | 3.8 | 3.5 | 4.4 | 3.3 | 104146 |
SARATOGA | 3.0 | 2.8 | 3.5 | 2.6 | 80914 |
SCHENECTADY | 2.4 | 2.6 | 2.8 | 2.5 | 146919 |
SCHOHARIE | 2.7 | 2.0 | 3.2 | 1.9 | 22663 |
SCHUYLER | 1.5 | 2.1 | 1.8 | 2.0 | 14546 |
SENECA | 2.2 | 2.3 | 2.6 | 2.1 | 30411 |
STEUBEN | 2.2 | 2.1 | 2.6 | 2.0 | 94099 |
SUFFOLK | 2.7 | 2.0 | 3.2 | 1.9 | 442158 |
SULLIVAN | 2.1 | 2.0 | 2.5 | 1.9 | 42658 |
TIOGA | 1.4 | 2.0 | 1.7 | 1.9 | 33413 |
TOMPKINS | 1.6 | 2.1 | 1.9 | 2.0 | 62119 |
ULSTER | 2.5 | 2.0 | 2.9 | 1.9 | 103752 |
WARREN | 2.7 | 3.0 | 3.3 | 2.8 | 41242 |
WASHINGTON | 3.3 | 3.0 | 3.9 | 2.8 | 47709 |
WAYNE | 2.8 | 2.1 | 3.3 | 2.0 | 61856 |
WESTCHESTER | 2.5 | 1.8 | 3.0 | 1.7 | 703626 |
WYOMING | 2.8 | 2.1 | 3.4 | 2.0 | 33657 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ALAMANCE | 1.1 | 1.8 | 1.4 | 1.7 | 77369 |
ALEXANDER | 1.6 | 1.8 | 2.1 | 1.7 | 15010 |
ALLEGHANY | 1.2 | 2.0 | 1.5 | 1.9 | 7979 |
ANSON | 1.0 | 1.7 | 1.3 | 1.6 | 26010 |
ASHE | 1.8 | 2.0 | 2.3 | 1.9 | 20977 |
AVERY | 1.7 | 1.7 | 2.2 | 1.6 | 12783 |
BEAUFORT | 1.3 | 2.9 | 1.6 | 2.6 | 36657 |
BERTIE | 1.2 | 1.8 | 1.5 | 1.7 | 25557 |
BLADEN | 1.1 | 1.9 | 1.4 | 1.8 | 29349 |
BRUNSWICK | 1.1 | 1.8 | 1.3 | 1.7 | 19684 |
BUNCOMBE | 1.7 | 1.7 | 2.1 | 1.6 | 126811 |
BURKE | 1.7 | 1.8 | 2.1 | 1.7 | 48576 |
CABARRUS | 1.0 | 1.7 | 1.3 | 1.6 | 65635 |
CALDWELL | 1.5 | 1.7 | 1.9 | 1.6 | 45992 |
CAMDEN | 1.1 | 3.4 | 1.5 | 3.1 | 5384 |
CARTERET | 1.2 | 1.8 | 1.6 | 1.7 | 26404 |
CASWELL | 1.0 | 1.8 | 1.3 | 1.7 | 20460 |
CATAWBA | 1.4 | 1.8 | 1.8 | 1.7 | 66636 |
CHATHAM | 1.2 | 2.3 | 1.5 | 2.1 | 25982 |
CHEROKEE | 1.7 | 1.8 | 2.1 | 1.7 | 17461 |
CHOWAN | 0.9 | 3.7 | 1.2 | 3.4 | 12197 |
CLAY | 1.5 | 1.8 | 1.9 | 1.7 | 5802 |
CLEVELAND | 1.5 | 1.8 | 1.9 | 1.7 | 65075 |
COLUMBUS | 1.2 | 1.8 | 1.5 | 1.7 | 49922 |
CRAVEN | 1.1 | 2.0 | 1.4 | 1.8 | 53051 |
CUMBERLAND | 1.1 | 1.9 | 1.4 | 1.8 | 118286 |
CURRITUCK | 1.2 | 3.3 | 1.5 | 3.0 | 6367 |
DARE | 1.2 | 1.7 | 1.5 | 1.6 | 5631 |
DAVIDSON | 1.2 | 1.7 | 1.5 | 1.6 | 69576 |
DAVIE | 1.0 | 1.9 | 1.3 | 1.7 | 15977 |
DUPLIN | 1.1 | 1.8 | 1.3 | 1.7 | 40732 |
DURHAM | 0.6 | 4.0 | 0.7 | 3.7 | 106041 |
EDGECOMBE | 1.1 | 1.8 | 1.3 | 1.7 | 52739 |
FORSYTH | 1.1 | 1.7 | 1.4 | 1.6 | 164530 |
FRANKLIN | 0.9 | 1.7 | 1.1 | 1.6 | 30242 |
GASTON | 1.2 | 2.1 | 1.5 | 1.9 | 117736 |
GATES | 1.2 | 1.8 | 1.5 | 1.7 | 9423 |
GRAHAM | 1.4 | 1.7 | 1.8 | 1.6 | 6695 |
GRANVILLE | 0.8 | 3.3 | 1.1 | 3.0 | 32355 |
GREENE | 1.1 | 1.8 | 1.4 | 1.7 | 17475 |
GUILFORD | 1.2 | 1.9 | 1.5 | 1.8 | 214630 |
HALIFAX | 1.1 | 1.8 | 1.4 | 1.7 | 58623 |
HARNETT | 1.0 | 1.9 | 1.2 | 1.8 | 47871 |
HAYWOOD | 1.9 | 1.9 | 2.3 | 1.7 | 38518 |
HENDERSON | 1.7 | 1.7 | 2.2 | 1.6 | 33149 |
HERTFORD | 1.2 | 1.8 | 1.5 | 1.7 | 21988 |
HOKE | 1.0 | 1.9 | 1.3 | 1.8 | 16015 |
HYDE | 1.3 | 2.0 | 1.7 | 1.8 | 6180 |
IREDELL | 1.4 | 1.8 | 1.8 | 1.7 | 58947 |
JACKSON | 2.0 | 1.9 | 2.5 | 1.7 | 18637 |
JOHNSTON | 1.0 | 1.9 | 1.2 | 1.7 | 64643 |
JONES | 1.1 | 2.6 | 1.4 | 2.4 | 11008 |
LEE | 1.1 | 1.8 | 1.3 | 1.7 | 24819 |
LENOIR | 1.1 | 1.9 | 1.4 | 1.7 | 49915 |
LINCOLN | 1.1 | 1.9 | 1.4 | 1.8 | 28039 |
MCDOWELL | 1.6 | 1.7 | 2.0 | 1.6 | 26156 |
MACON | 1.9 | 1.8 | 2.4 | 1.7 | 15646 |
MADISON | 1.4 | 1.7 | 1.8 | 1.6 | 19116 |
MARTIN | 0.9 | 3.2 | 1.1 | 3.0 | 27599 |
MECKLENBURG | 1.0 | 1.9 | 1.3 | 1.7 | 228952 |
MITCHELL | 1.7 | 1.7 | 2.2 | 1.6 | 14615 |
MONTGOMERY | 1.2 | 1.7 | 1.6 | 1.6 | 17749 |
MOORE | 1.1 | 1.8 | 1.5 | 1.7 | 34663 |
NASH | 1.2 | 1.8 | 1.5 | 1.7 | 60382 |
NEW HANOVER | 1.3 | 2.1 | 1.6 | 2.0 | 66873 |
NORTHAMPTON | 1.0 | 3.2 | 1.3 | 2.9 | 27743 |
ONSLOW | 1.3 | 2.0 | 1.6 | 1.9 | 59332 |
ORANGE | 0.8 | 2.4 | 1.0 | 2.2 | 38060 |
PAMLICO | 1.5 | 2.0 | 1.9 | 1.9 | 9933 |
PASQUOTANK | 1.1 | 3.4 | 1.5 | 3.1 | 24894 |
PENDER | 1.2 | 1.7 | 1.5 | 1.6 | 18460 |
PERQUIMANS | 1.2 | 3.3 | 1.5 | 3.0 | 9420 |
PERSON | 0.4 | 5.2 | 0.6 | 4.7 | 25231 |
PITT | 1.2 | 1.8 | 1.5 | 1.7 | 66405 |
POLK | 1.3 | 1.7 | 1.7 | 1.6 | 11531 |
RANDOLPH | 1.4 | 1.9 | 1.8 | 1.7 | 55349 |
RICHMOND | 1.1 | 1.8 | 1.3 | 1.7 | 39428 |
ROBESON | 1.3 | 1.7 | 1.7 | 1.6 | 88337 |
ROCKINGHAM | 1.0 | 1.7 | 1.2 | 1.6 | 66867 |
ROWAN | 1.2 | 1.7 | 1.5 | 1.6 | 78560 |
RUTHERFORD | 1.3 | 1.9 | 1.7 | 1.7 | 45816 |
SAMPSON | 1.2 | 1.8 | 1.6 | 1.7 | 49029 |
SCOTLAND | 1.1 | 1.7 | 1.4 | 1.6 | 25848 |
STANLY | 1.1 | 1.9 | 1.4 | 1.7 | 38717 |
STOKES | 1.1 | 1.9 | 1.4 | 1.7 | 21861 |
SURRY | 1.4 | 1.9 | 1.7 | 1.8 | 46705 |
SWAIN | 1.8 | 1.8 | 2.2 | 1.7 | 9266 |
TRANSYLVANIA | 1.8 | 1.8 | 2.2 | 1.7 | 15698 |
TYRRELL | 1.0 | 1.8 | 1.3 | 1.7 | 4826 |
UNION | 1.2 | 1.8 | 1.5 | 1.7 | 43158 |
VANCE | 0.3 | 5.3 | 0.5 | 4.7 | 32060 |
WAKE | 0.8 | 3.4 | 1.0 | 3.1 | 150322 |
WARREN | 1.1 | 1.9 | 1.4 | 1.7 | 21890 |
WASHINGTON | 1.0 | 3.0 | 1.3 | 2.7 | 13311 |
WATAUGA | 1.3 | 2.0 | 1.6 | 1.8 | 17998 |
WAYNE | 1.1 | 1.9 | 1.4 | 1.7 | 71829 |
WILKES | 1.4 | 2.1 | 1.8 | 2.0 | 45256 |
WILSON | 1.3 | 1.8 | 1.6 | 1.7 | 55872 |
YADKIN | 1.6 | 1.9 | 2.0 | 1.8 | 22423 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAMS | 5.6 | 2.1 | 6.4 | 2.0 | 4715 |
BARNES | 4.4 | 2.1 | 4.9 | 2.0 | 16810 |
BENSON | 4.6 | 2.3 | 5.1 | 2.2 | 10148 |
BILLINGS | 7.3 | 2.5 | 8.2 | 2.3 | 1663 |
BOTTINEAU | 4.4 | 2.1 | 5.1 | 2.0 | 11792 |
BOWMAN | 5.3 | 2.0 | 6.0 | 1.9 | 4064 |
BURKE | 4.6 | 2.3 | 5.3 | 2.2 | 6309 |
BURLEIGH | 5.1 | 2.3 | 5.8 | 2.2 | 29218 |
CASS | 4.4 | 2.4 | 5.0 | 2.3 | 62309 |
CAVALIER | 3.8 | 2.0 | 4.3 | 1.9 | 11087 |
DICKEY | 5.5 | 2.1 | 6.2 | 2.1 | 8707 |
DIVIDE | 5.2 | 2.9 | 5.8 | 2.8 | 5793 |
DUNN | 6.0 | 2.0 | 6.8 | 2.0 | 6849 |
EDDY | 4.5 | 2.0 | 5.0 | 1.9 | 5188 |
EMMONS | 5.8 | 2.2 | 6.6 | 2.1 | 9184 |
FOSTER | 5.5 | 2.4 | 6.2 | 2.3 | 5351 |
GOLDEN VALLE | 6.7 | 2.1 | 7.6 | 2.0 | 3333 |
GRAND FORKS | 3.9 | 2.1 | 4.5 | 2.0 | 43368 |
GRANT | 5.7 | 2.0 | 6.4 | 1.9 | 6744 |
GRIGGS | 4.4 | 2.1 | 4.9 | 2.0 | 5275 |
HETTINGER | 5.1 | 2.1 | 5.9 | 2.0 | 6767 |
KIDDER | 4.4 | 2.1 | 4.9 | 2.0 | 5838 |
LA MOURE | 5.4 | 2.1 | 6.0 | 2.0 | 9160 |
LOGAN | 5.0 | 2.4 | 5.6 | 2.3 | 5936 |
MCHENRY | 5.0 | 2.4 | 5.7 | 2.3 | 11933 |
MCINTOSH | 5.9 | 2.3 | 6.7 | 2.2 | 7212 |
MCKENZIE | 5.4 | 2.3 | 6.1 | 2.2 | 7038 |
MCLEAN | 5.9 | 2.3 | 6.7 | 2.2 | 16785 |
MERCER | 5.5 | 2.1 | 6.2 | 2.0 | 7891 |
MORTON | 5.4 | 2.3 | 6.1 | 2.2 | 20016 |
MOUNTRAIL | 4.9 | 2.1 | 5.5 | 2.0 | 9699 |
NELSON | 4.5 | 2.0 | 5.1 | 1.9 | 7643 |
OLIVER | 5.1 | 2.3 | 5.8 | 2.2 | 2889 |
PEMBINA | 4.2 | 2.1 | 4.7 | 2.1 | 13547 |
PIERCE | 4.1 | 2.1 | 4.6 | 2.0 | 7932 |
RAMSEY | 4.1 | 2.1 | 4.7 | 2.0 | 13978 |
RANSOM | 5.7 | 2.8 | 6.4 | 2.7 | 8539 |
RENVILLE | 4.6 | 2.3 | 5.3 | 2.2 | 5106 |
RICHLAND | 5.7 | 2.3 | 6.5 | 2.2 | 19423 |
ROLETTE | 3.5 | 2.0 | 4.0 | 1.9 | 10906 |
SARGENT | 5.3 | 2.2 | 6.0 | 2.1 | 7296 |
SHERIDAN | 4.9 | 2.1 | 5.5 | 2.0 | 4867 |
SIOUX | 4.8 | 2.0 | 5.5 | 1.9 | 3683 |
SLOPE | 6.4 | 2.1 | 7.2 | 2.0 | 2137 |
STARK | 6.9 | 2.1 | 7.9 | 2.0 | 17122 |
STEELE | 3.8 | 2.1 | 4.4 | 2.0 | 4963 |
STUTSMAN | 4.8 | 2.3 | 5.5 | 2.2 | 24575 |
TOWNER | 3.6 | 2.1 | 4.1 | 2.0 | 6045 |
TRAILL | 4.3 | 2.5 | 4.8 | 2.4 | 11027 |
WALSH | 5.0 | 2.4 | 5.6 | 2.3 | 18493 |
WARD | 5.2 | 2.3 | 5.9 | 2.2 | 40005 |
WELLS | 4.7 | 2.1 | 5.3 | 2.1 | 9915 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAMS | 2.1 | 4.4 | 2.6 | 4.1 | 20282 |
ALLEN | 2.0 | 4.2 | 2.4 | 3.9 | 94777 |
ASHLAND | 0.9 | 6.2 | 1.2 | 5.8 | 35474 |
ASHTABULA | 2.7 | 2.0 | 3.1 | 1.9 | 84806 |
ATHENS | 1.8 | 4.4 | 2.2 | 4.2 | 46332 |
AUGLAIZE | 2.6 | 3.9 | 3.1 | 3.7 | 32976 |
BELMONT | 1.4 | 4.6 | 1.8 | 4.3 | 86091 |
BROWN | 2.2 | 4.3 | 2.7 | 4.0 | 23479 |
BUTLER | 3.6 | 3.9 | 4.2 | 3.7 | 169255 |
CARROLL | 2.3 | 2.0 | 2.7 | 1.9 | 19815 |
CHAMPAIGN | 2.5 | 4.1 | 3.0 | 3.9 | 28032 |
CLARK | 2.6 | 3.8 | 3.1 | 3.6 | 120066 |
CLERMONT | 2.6 | 4.0 | 3.1 | 3.7 | 58480 |
CLINTON | 2.6 | 4.0 | 3.1 | 3.8 | 27455 |
COLUMBIANA | 1.7 | 4.4 | 2.0 | 4.2 | 102354 |
COSHOCTON | 2.2 | 4.1 | 2.6 | 3.9 | 31602 |
CRAWFORD | 1.6 | 4.4 | 1.9 | 4.2 | 42155 |
CUYAHOGA | 3.1 | 2.0 | 3.7 | 1.9 | 1499339 |
DARKE | 2.5 | 4.2 | 2.9 | 4.0 | 43422 |
DEFIANCE | 2.4 | 2.2 | 2.8 | 2.1 | 28295 |
DELAWARE | 1.6 | 4.4 | 2.0 | 4.2 | 32753 |
ERIE | 2.4 | 3.6 | 2.8 | 3.4 | 59130 |
FAIRFIELD | 1.4 | 4.6 | 1.7 | 4.3 | 57137 |
FAYETTE | 1.7 | 4.4 | 2.0 | 4.2 | 23501 |
FRANKLIN | 2.7 | 2.8 | 3.1 | 2.6 | 579723 |
FULTON | 2.1 | 4.4 | 2.5 | 4.2 | 27165 |
GALLIA | 2.6 | 4.0 | 3.1 | 3.7 | 25425 |
GEAUGA | 3.7 | 2.1 | 4.2 | 2.0 | 35540 |
GREENE | 2.5 | 3.0 | 2.9 | 2.9 | 74085 |
GUERNSEY | 0.9 | 6.3 | 1.1 | 5.8 | 38506 |
HAMILTON | 2.1 | 3.9 | 2.5 | 3.7 | 783525 |
HANCOCK | 4.6 | 3.0 | 5.3 | 2.8 | 48279 |
HARDIN | 2.2 | 2.9 | 2.6 | 2.7 | 29081 |
HARRISON | 1.7 | 4.5 | 2.0 | 4.3 | 18608 |
HENRY | 2.9 | 2.2 | 3.3 | 2.1 | 23680 |
HIGHLAND | 2.2 | 4.4 | 2.6 | 4.1 | 28838 |
HOCKING | 2.0 | 4.3 | 2.4 | 4.0 | 19794 |
HOLMES | 2.5 | 2.0 | 2.8 | 1.9 | 19961 |
HURON | 2.3 | 3.0 | 2.7 | 2.8 | 42742 |
JACKSON | 1.9 | 4.5 | 2.2 | 4.3 | 28448 |
JEFFERSON | 2.2 | 2.5 | 2.5 | 2.4 | 97645 |
KNOX | 1.6 | 4.7 | 2.0 | 4.4 | 36786 |
LAKE | 2.0 | 3.9 | 2.4 | 3.6 | 106890 |
LAWRENCE | 2.6 | 4.0 | 3.1 | 3.8 | 51799 |
LICKING | 1.8 | 4.6 | 2.1 | 4.3 | 78976 |
LOGAN | 2.2 | 4.3 | 2.6 | 4.0 | 32804 |
LORAIN | 1.7 | 4.0 | 2.0 | 3.7 | 177629 |
LUCAS | 1.6 | 4.6 | 2.0 | 4.3 | 421637 |
MADISON | 1.5 | 5.5 | 1.8 | 5.2 | 24067 |
MAHONING | 0.9 | 6.3 | 1.2 | 5.9 | 275841 |
MARION | 1.5 | 4.7 | 1.8 | 4.4 | 54320 |
MEDINA | 2.5 | 4.1 | 3.0 | 3.9 | 51004 |
MEIGS | 2.5 | 3.9 | 2.9 | 3.7 | 22771 |
MERCER | 2.3 | 3.0 | 2.7 | 2.9 | 30118 |
MIAMI | 2.3 | 4.4 | 2.7 | 4.1 | 66236 |
MONROE | 1.0 | 6.2 | 1.3 | 5.8 | 15324 |
MONTGOMERY | 4.1 | 3.7 | 4.8 | 3.5 | 453116 |
MORGAN | 1.5 | 4.9 | 1.9 | 4.6 | 12799 |
MORROW | 1.2 | 5.1 | 1.4 | 4.8 | 18121 |
MUSKINGUM | 1.6 | 4.7 | 2.0 | 4.4 | 76503 |
NOBLE | 1.5 | 4.8 | 1.8 | 4.5 | 11426 |
OTTAWA | 1.9 | 3.6 | 2.2 | 3.5 | 31960 |
PAULDING | 2.5 | 4.0 | 2.9 | 3.8 | 15790 |
PERRY | 1.8 | 4.6 | 2.1 | 4.3 | 28518 |
PICKAWAY | 2.3 | 2.4 | 2.7 | 2.3 | 32120 |
PIKE | 2.0 | 4.4 | 2.4 | 4.2 | 16635 |
PORTAGE | 2.5 | 4.0 | 3.0 | 3.7 | 75790 |
PREBLE | 2.7 | 4.0 | 3.2 | 3.8 | 29384 |
PUTNAM | 4.5 | 3.2 | 5.1 | 3.0 | 26557 |
RICHLAND | 1.2 | 5.9 | 1.5 | 5.5 | 102551 |
ROSS | 1.8 | 4.4 | 2.1 | 4.1 | 57312 |
SANDUSKY | 2.0 | 4.1 | 2.4 | 3.9 | 50523 |
SCIOTO | 2.4 | 3.4 | 2.9 | 3.2 | 83468 |
SENECA | 2.5 | 4.2 | 3.0 | 4.0 | 55674 |
SHELBY | 3.3 | 1.8 | 3.8 | 1.7 | 30655 |
STARK | 1.5 | 4.4 | 1.9 | 4.1 | 307483 |
SUMMIT | 2.1 | 2.9 | 2.5 | 2.7 | 454038 |
TRUMBULL | 1.9 | 4.3 | 2.2 | 4.0 | 180002 |
TUSCARAWAS | 0.9 | 6.2 | 1.1 | 5.8 | 73068 |
UNION | 2.5 | 4.0 | 3.0 | 3.8 | 21611 |
VAN WERT | 2.2 | 3.1 | 2.6 | 2.9 | 27766 |
VINTON | 2.0 | 4.4 | 2.3 | 4.1 | 10553 |
WARREN | 2.8 | 4.0 | 3.3 | 3.7 | 50068 |
WASHINGTON | 1.9 | 4.2 | 2.2 | 4.0 | 47500 |
WAYNE | 2.5 | 2.0 | 2.9 | 1.9 | 65848 |
WILLIAMS | 2.9 | 1.8 | 3.3 | 1.7 | 27800 |
WOOD | 2.0 | 4.2 | 2.4 | 4.0 | 65127 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAIR | 3.8 | 1.9 | 4.5 | 1.7 | 14152 |
ALFALFA | 3.5 | 2.3 | 4.2 | 2.2 | 9744 |
ATOKA | 4.0 | 2.0 | 4.7 | 1.9 | 12599 |
BEAVER | 3.6 | 1.9 | 4.3 | 1.8 | 7223 |
BECKHAM | 3.5 | 2.0 | 4.2 | 1.9 | 19988 |
BLAINE | 2.9 | 1.7 | 3.5 | 1.6 | 13790 |
BRYAN | 2.9 | 2.1 | 3.5 | 2.0 | 26978 |
CADDO | 2.6 | 1.9 | 3.1 | 1.8 | 32240 |
CANADIAN | 2.7 | 1.9 | 3.3 | 1.8 | 25257 |
CARTER | 3.1 | 2.1 | 3.7 | 2.0 | 37559 |
CHEROKEE | 4.3 | 1.9 | 5.1 | 1.7 | 18470 |
CHOCTAW | 3.5 | 1.9 | 4.2 | 1.8 | 18382 |
CIMARRON | 4.1 | 2.1 | 4.9 | 2.0 | 4555 |
CLEVELAND | 2.6 | 1.7 | 3.2 | 1.6 | 44057 |
COAL | 2.7 | 1.8 | 3.2 | 1.7 | 6993 |
COMANCHE | 2.6 | 1.9 | 3.1 | 1.8 | 70308 |
COTTON | 2.5 | 1.8 | 3.0 | 1.7 | 9267 |
CRAIG | 4.3 | 2.0 | 5.2 | 1.9 | 17433 |
CREEK | 3.6 | 2.0 | 4.5 | 1.9 | 42019 |
CUSTER | 2.6 | 1.9 | 3.2 | 1.7 | 21068 |
DELAWARE | 4.3 | 1.9 | 5.1 | 1.8 | 14079 |
DEWEY | 2.9 | 2.1 | 3.5 | 2.0 | 7626 |
ELLIS | 4.4 | 1.9 | 5.3 | 1.8 | 6531 |
GARFIELD | 3.0 | 1.9 | 3.7 | 1.8 | 52888 |
GARVIN | 2.5 | 1.7 | 3.0 | 1.6 | 28984 |
GRADY | 2.5 | 1.8 | 3.0 | 1.7 | 32628 |
GRANT | 3.1 | 1.7 | 3.7 | 1.6 | 9479 |
GREER | 3.3 | 2.0 | 3.9 | 1.9 | 10530 |
HARMON | 2.8 | 2.1 | 3.4 | 1.9 | 7132 |
HARPER | 2.7 | 1.8 | 3.2 | 1.7 | 5963 |
HASKELL | 3.2 | 1.7 | 3.9 | 1.6 | 11531 |
HUGHES | 3.9 | 2.1 | 4.7 | 1.9 | 18320 |
JACKSON | 2.5 | 1.9 | 2.9 | 1.7 | 24186 |
JEFFERSON | 2.6 | 1.9 | 3.2 | 1.7 | 9878 |
JOHNSTON | 3.1 | 1.8 | 3.8 | 1.7 | 9716 |
KAY | 3.4 | 1.9 | 4.2 | 1.7 | 49807 |
KINGFISHER | 3.2 | 1.9 | 3.9 | 1.8 | 11916 |
KIOWA | 2.4 | 1.9 | 2.9 | 1.8 | 17183 |
LATIMER | 3.5 | 1.9 | 4.2 | 1.8 | 8860 |
LE FLORE | 3.2 | 1.7 | 3.8 | 1.6 | 32652 |
LINCOLN | 3.4 | 1.8 | 4.1 | 1.7 | 20692 |
LOGAN | 2.8 | 1.8 | 3.4 | 1.7 | 20677 |
LOVE | 3.5 | 1.9 | 4.2 | 1.8 | 6929 |
MCCLAIN | 2.6 | 1.7 | 3.1 | 1.6 | 13859 |
MCCURTAIN | 3.3 | 1.9 | 3.9 | 1.7 | 29153 |
MCINTOSH | 3.8 | 1.8 | 4.5 | 1.7 | 15512 |
MAJOR | 2.8 | 1.9 | 3.3 | 1.7 | 9225 |
MARSHALL | 2.8 | 1.8 | 3.4 | 1.7 | 7791 |
MAYES | 4.1 | 1.9 | 4.9 | 1.7 | 19884 |
MURRAY | 2.5 | 1.8 | 3.0 | 1.7 | 10710 |
MUSKOGEE | 3.7 | 1.8 | 4.5 | 1.7 | 63999 |
NOBLE | 3.5 | 2.1 | 4.2 | 1.9 | 11401 |
NOWATA | 3.4 | 1.9 | 4.1 | 1.7 | 11928 |
OKFUSKEE | 3.5 | 1.8 | 4.2 | 1.7 | 14721 |
OKLAHOMA | 2.7 | 1.8 | 3.2 | 1.7 | 373868 |
OKMULGEE | 3.5 | 1.8 | 4.2 | 1.7 | 41326 |
OSAGE | 3.9 | 2.1 | 4.7 | 1.9 | 32805 |
OTTAWA | 4.4 | 2.2 | 5.3 | 2.0 | 30552 |
PAWNEE | 3.6 | 1.9 | 4.3 | 1.7 | 12451 |
PAYNE | 3.0 | 1.8 | 3.6 | 1.7 | 45496 |
PITTSBURG | 4.1 | 1.9 | 4.9 | 1.8 | 38196 |
PONTOTOC | 3.1 | 2.0 | 3.7 | 1.9 | 29692 |
POTTAWATOMIE | 2.8 | 1.8 | 3.4 | 1.7 | 42651 |
PUSHMATAHA | 3.2 | 1.8 | 3.8 | 1.7 | 10760 |
ROGER MILLS | 4.6 | 1.9 | 5.5 | 1.8 | 6417 |
ROGERS | 3.4 | 1.8 | 4.1 | 1.7 | 19991 |
SEMINOLE | 3.8 | 1.9 | 4.6 | 1.8 | 35314 |
SEQUOYAH | 3.5 | 1.8 | 4.2 | 1.7 | 19024 |
STEPHENS | 2.6 | 2.0 | 3.1 | 1.9 | 35737 |
TEXAS | 4.4 | 2.6 | 5.4 | 2.4 | 14203 |
TILLMAN | 2.2 | 1.8 | 2.6 | 1.7 | 16343 |
TULSA | 4.3 | 1.9 | 5.3 | 1.8 | 291784 |
WAGONER | 3.7 | 1.8 | 4.4 | 1.7 | 16289 |
WASHINGTON | 3.7 | 2.2 | 4.4 | 2.0 | 36905 |
WASHITA | 3.3 | 2.0 | 3.9 | 1.9 | 17852 |
WOODS | 2.9 | 1.9 | 3.6 | 1.7 | 13424 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
BAKER | 3.9 | 2.9 | 4.6 | 2.7 | 16646 |
BENTON | 0.5 | 1.9 | 0.6 | 1.8 | 34797 |
CLACKAMAS | 0.7 | 2.1 | 0.9 | 2.0 | 97903 |
CLATSOP | 0.7 | 1.9 | 0.8 | 1.8 | 29336 |
COLUMBIA | 0.5 | 2.0 | 0.6 | 1.9 | 22721 |
COOS | 0.5 | 1.9 | 0.6 | 1.8 | 47660 |
CROOK | 0.6 | 2.0 | 0.7 | 1.9 | 9178 |
CURRY | 0.6 | 1.9 | 0.7 | 1.8 | 9419 |
DESCHUTES | 0.5 | 2.2 | 0.6 | 2.0 | 22361 |
DOUGLAS | 0.6 | 2.0 | 0.7 | 1.9 | 60460 |
GILLIAM | 0.6 | 2.0 | 0.7 | 1.9 | 2921 |
GRANT | 3.1 | 2.1 | 3.6 | 2.0 | 8072 |
HARNEY | 0.8 | 1.9 | 0.9 | 1.8 | 6385 |
HOOD RIVER | 0.4 | 1.9 | 0.5 | 1.8 | 13017 |
JACKSON | 0.6 | 2.2 | 0.7 | 2.1 | 65079 |
JEFFERSON | 0.5 | 2.1 | 0.6 | 1.9 | 6211 |
JOSEPHINE | 0.6 | 2.1 | 0.7 | 2.0 | 27978 |
KLAMATH | 0.8 | 2.1 | 0.9 | 2.0 | 44411 |
LAKE | 0.7 | 2.2 | 0.9 | 2.1 | 6865 |
LANE | 0.6 | 1.9 | 0.7 | 1.8 | 141552 |
LINCOLN | 0.6 | 1.9 | 0.8 | 1.8 | 22725 |
LINN | 0.6 | 1.9 | 0.7 | 1.8 | 56255 |
MALHEUR | 0.9 | 1.8 | 1.0 | 1.7 | 23030 |
MARION | 0.7 | 1.9 | 0.8 | 1.8 | 109683 |
MORROW | 0.7 | 2.2 | 0.8 | 2.0 | 4824 |
MULTNOMAH | 0.5 | 1.8 | 0.6 | 1.7 | 493327 |
POLK | 0.5 | 1.9 | 0.6 | 1.8 | 26406 |
SHERMAN | 0.6 | 2.0 | 0.7 | 1.9 | 2345 |
TILLAMOOK | 0.7 | 2.3 | 0.8 | 2.2 | 18754 |
UMATILLA | 2.3 | 2.3 | 2.6 | 2.2 | 42830 |
UNION | 2.6 | 2.5 | 3.1 | 2.4 | 18053 |
WALLOWA | 2.8 | 2.9 | 3.3 | 2.8 | 7196 |
WASCO | 0.6 | 2.2 | 0.6 | 2.1 | 17530 |
WASHINGTON | 0.5 | 1.9 | 0.6 | 1.8 | 74432 |
WHEELER | 0.6 | 2.1 | 0.6 | 2.0 | 3061 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAMS | 0.6 | 4.5 | 0.8 | 4.1 | 47470 |
ALLEGHENY | 0.7 | 4.7 | 0.8 | 4.4 | 1563413 |
ARMSTRONG | 1.2 | 3.4 | 1.5 | 3.2 | 80283 |
BEAVER | 0.7 | 4.7 | 1.0 | 4.3 | 188693 |
BEDFORD | 1.6 | 2.7 | 1.9 | 2.6 | 41483 |
BERKS | 1.5 | 2.1 | 1.8 | 1.9 | 264102 |
BLAIR | 1.7 | 1.9 | 2.0 | 1.8 | 138554 |
BRADFORD | 1.3 | 1.9 | 1.6 | 1.8 | 53083 |
BUCKS | 1.3 | 2.0 | 1.6 | 1.9 | 214294 |
BUTLER | 1.2 | 3.5 | 1.5 | 3.2 | 104684 |
CAMBRIA | 1.2 | 3.2 | 1.5 | 3.0 | 206887 |
CAMERON | 1.3 | 2.5 | 1.5 | 2.3 | 7260 |
CARBON | 1.5 | 2.0 | 1.8 | 1.8 | 55573 |
CENTRE | 0.9 | 3.3 | 1.2 | 3.1 | 71301 |
CHESTER | 0.9 | 4.0 | 1.2 | 3.7 | 181018 |
CLARION | 1.4 | 3.2 | 1.8 | 3.0 | 37950 |
CLEARFIELD | 0.9 | 4.5 | 1.1 | 4.1 | 84077 |
CLINTON | 0.9 | 4.0 | 1.1 | 3.7 | 36991 |
COLUMBIA | 1.2 | 1.9 | 1.5 | 1.8 | 53470 |
CRAWFORD | 1.6 | 3.2 | 1.9 | 2.9 | 78524 |
CUMBERLAND | 1.3 | 1.8 | 1.5 | 1.7 | 107359 |
DAUPHIN | 1.2 | 1.8 | 1.5 | 1.7 | 207334 |
DELAWARE | 1.3 | 2.7 | 1.5 | 2.5 | 473280 |
ELK | 1.2 | 3.9 | 1.5 | 3.5 | 35702 |
ERIE | 2.4 | 2.1 | 2.9 | 1.9 | 232690 |
FAYETTE | 1.5 | 3.3 | 1.8 | 3.1 | 181164 |
FOREST | 1.4 | 3.3 | 1.8 | 3.1 | 4752 |
FRANKLIN | 1.5 | 1.8 | 1.8 | 1.7 | 81130 |
FULTON | 1.3 | 3.2 | 1.6 | 3.0 | 10476 |
GREENE | 1.1 | 3.5 | 1.4 | 3.3 | 42859 |
HUNTINGDON | 1.1 | 3.0 | 1.4 | 2.8 | 40273 |
INDIANA | 1.3 | 3.3 | 1.6 | 3.1 | 76368 |
JEFFERSON | 1.3 | 3.4 | 1.5 | 3.2 | 48147 |
JUNIATA | 1.2 | 1.9 | 1.4 | 1.8 | 15512 |
LACKAWANNA | 1.2 | 2.6 | 1.4 | 2.4 | 247685 |
LANCASTER | 1.0 | 3.1 | 1.2 | 2.9 | 253269 |
LAWRENCE | 0.8 | 4.7 | 1.0 | 4.3 | 108455 |
LEBANON | 1.1 | 1.8 | 1.3 | 1.7 | 85580 |
LEHIGH | 1.5 | 2.1 | 1.7 | 1.9 | 210674 |
LUZERNE | 1.4 | 2.2 | 1.7 | 2.0 | 373001 |
LYCOMING | 1.1 | 2.1 | 1.4 | 2.0 | 104701 |
MCKEAN | 1.8 | 1.9 | 2.2 | 1.8 | 55721 |
MERCER | 1.5 | 3.2 | 1.8 | 3.0 | 118571 |
MIFFLIN | 1.2 | 2.0 | 1.4 | 1.8 | 43970 |
MONROE | 1.7 | 2.2 | 2.0 | 2.0 | 36232 |
MONTGOMERY | 1.4 | 2.1 | 1.7 | 1.9 | 422606 |
MONTOUR | 1.1 | 2.0 | 1.3 | 1.9 | 16309 |
NORTHAMPTON | 1.6 | 2.0 | 1.9 | 1.9 | 192122 |
NORTHUMBERLA | 0.6 | 4.4 | 0.8 | 4.1 | 111600 |
PERRY | 1.2 | 1.8 | 1.5 | 1.7 | 25549 |
PHILADELPHIA | 1.2 | 1.8 | 1.4 | 1.7 | 2042244 |
PIKE | 1.6 | 2.1 | 1.9 | 2.0 | 8738 |
POTTER | 1.8 | 2.2 | 2.1 | 2.1 | 16672 |
SCHUYLKILL | 1.5 | 1.9 | 1.8 | 1.8 | 188868 |
SNYDER | 0.9 | 3.5 | 1.2 | 3.3 | 24189 |
SOMERSET | 1.4 | 3.2 | 1.7 | 3.0 | 79966 |
SULLIVAN | 1.2 | 2.0 | 1.4 | 1.8 | 6531 |
SUSQUEHANNA | 1.2 | 1.9 | 1.5 | 1.8 | 32467 |
TIOGA | 1.3 | 1.9 | 1.6 | 1.7 | 35958 |
UNION | 0.9 | 2.3 | 1.1 | 2.1 | 24209 |
VENANGO | 1.3 | 3.5 | 1.6 | 3.3 | 65314 |
WARREN | 2.0 | 2.2 | 2.4 | 2.0 | 43924 |
WASHINGTON | 1.4 | 3.3 | 1.7 | 3.1 | 212879 |
WAYNE | 1.6 | 2.2 | 1.9 | 2.0 | 28375 |
WESTMORELAND | 1.4 | 3.2 | 1.8 | 3.0 | 329946 |
WYOMING | 1.2 | 2.4 | 1.4 | 2.2 | 16783 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
BRISTOL | 2.6 | 1.9 | 3.1 | 1.8 | 32505 |
KENT | 2.8 | 2.1 | 3.2 | 2.0 | 92579 |
NEWPORT | 1.9 | 1.9 | 2.2 | 1.8 | 70188 |
PROVIDENCE | 2.6 | 1.9 | 3.0 | 1.8 | 572343 |
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.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ABBEVILLE | 1.4 | 1.7 | 1.8 | 1.6 | 22016 |
AIKEN | 1.2 | 1.7 | 1.5 | 1.6 | 64999 |
ALLENDALE | 1.5 | 1.7 | 1.8 | 1.6 | 11598 |
ANDERSON | 1.7 | 1.7 | 2.1 | 1.6 | 93983 |
BAMBERG | 1.5 | 1.7 | 1.9 | 1.6 | 16997 |
BARNWELL | 1.5 | 1.7 | 1.8 | 1.6 | 17433 |
BEAUFORT | 1.5 | 1.8 | 1.9 | 1.7 | 34305 |
BERKELEY | 1.7 | 1.9 | 2.1 | 1.8 | 33627 |
CALHOUN | 1.9 | 1.8 | 2.4 | 1.7 | 13694 |
CHARLESTON | 1.5 | 1.8 | 1.9 | 1.7 | 186752 |
CHEROKEE | 1.5 | 1.7 | 1.9 | 1.6 | 35082 |
CHESTER | 1.3 | 1.7 | 1.6 | 1.6 | 31875 |
CHESTERFIELD | 1.3 | 1.7 | 1.6 | 1.6 | 35164 |
CLARENDON | 1.8 | 1.8 | 2.2 | 1.7 | 31061 |
COLLETON | 1.5 | 1.8 | 1.9 | 1.7 | 28062 |
DARLINGTON | 1.4 | 1.7 | 1.8 | 1.6 | 51252 |
DILLON | 1.4 | 1.8 | 1.7 | 1.7 | 30786 |
DORCHESTER | 1.5 | 1.7 | 1.8 | 1.6 | 23362 |
EDGEFIELD | 1.3 | 1.7 | 1.7 | 1.6 | 16225 |
FAIRFIELD | 1.5 | 1.7 | 1.8 | 1.6 | 21330 |
FLORENCE | 2.0 | 1.8 | 2.4 | 1.7 | 81719 |
GEORGETOWN | 1.4 | 1.8 | 1.7 | 1.7 | 33050 |
GREENVILLE | 1.8 | 1.7 | 2.2 | 1.6 | 185842 |
GREENWOOD | 1.3 | 1.7 | 1.7 | 1.6 | 42784 |
HAMPTON | 1.3 | 1.7 | 1.7 | 1.6 | 17772 |
HORRY | 1.6 | 1.8 | 2.0 | 1.7 | 63408 |
JASPER | 1.5 | 1.8 | 1.9 | 1.7 | 11524 |
KERSHAW | 1.4 | 1.8 | 1.7 | 1.7 | 32838 |
LANCASTER | 1.3 | 1.7 | 1.6 | 1.6 | 38039 |
LAURENS | 1.4 | 1.6 | 1.8 | 1.5 | 47246 |
LEE | 1.5 | 1.8 | 1.9 | 1.7 | 22606 |
LEXINGTON | 1.3 | 1.7 | 1.6 | 1.6 | 51270 |
MCCORMICK | 1.3 | 1.7 | 1.6 | 1.6 | 9175 |
MARION | 1.5 | 1.8 | 1.9 | 1.7 | 32642 |
MARLBORO | 1.5 | 1.7 | 1.8 | 1.6 | 30393 |
NEWBERRY | 1.5 | 1.7 | 1.9 | 1.6 | 30773 |
OCONEE | 2.0 | 1.8 | 2.5 | 1.7 | 39539 |
ORANGEBURG | 1.7 | 1.7 | 2.2 | 1.6 | 68654 |
PICKENS | 1.8 | 1.7 | 2.3 | 1.6 | 42601 |
RICHLAND | 1.3 | 1.7 | 1.6 | 1.6 | 167017 |
SALUDA | 1.3 | 1.7 | 1.7 | 1.6 | 15343 |
SPARTANBURG | 1.7 | 1.7 | 2.1 | 1.6 | 153108 |
SUMTER | 1.5 | 1.8 | 1.9 | 1.7 | 64986 |
UNION | 1.4 | 1.7 | 1.8 | 1.6 | 30775 |
WILLIAMSBURG | 1.6 | 1.7 | 2.0 | 1.6 | 42582 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
AURORA | 7.4 | 2.2 | 8.3 | 2.1 | 4906 |
BEADLE | 5.9 | 2.1 | 6.7 | 2.0 | 21341 |
BENNETT | 5.7 | 2.3 | 6.4 | 2.2 | 3249 |
BON HOMME | 4.4 | 2.1 | 4.9 | 2.0 | 9349 |
BROOKINGS | 6.2 | 3.1 | 7.0 | 2.9 | 18784 |
BROWN | 4.8 | 2.3 | 5.5 | 2.2 | 33249 |
BRULE | 7.4 | 2.1 | 8.4 | 2.0 | 6181 |
BUFFALO | 5.8 | 2.2 | 6.6 | 2.1 | 1588 |
BUTTE | 5.4 | 2.0 | 6.1 | 1.9 | 8347 |
CAMPBELL | 5.8 | 2.2 | 6.6 | 2.1 | 3828 |
CHARLES MIX | 6.8 | 2.1 | 7.6 | 2.1 | 13952 |
CLARK | 6.3 | 2.3 | 7.1 | 2.2 | 7843 |
CLAY | 3.2 | 4.6 | 3.8 | 4.3 | 10913 |
CODINGTON | 5.3 | 2.2 | 6.0 | 2.1 | 19488 |
CORSON | 6.6 | 2.2 | 7.5 | 2.1 | 6013 |
CUSTER | 5.8 | 4.7 | 6.8 | 4.5 | 5256 |
DAVISON | 3.4 | 4.3 | 4.0 | 4.1 | 16589 |
DAY | 5.2 | 2.1 | 5.9 | 2.1 | 11537 |
DEUEL | 2.6 | 2.4 | 2.9 | 2.3 | 7302 |
DEWEY | 6.4 | 2.1 | 7.3 | 2.0 | 5093 |
DOUGLAS | 6.1 | 2.2 | 6.9 | 2.1 | 5417 |
EDMUNDS | 5.8 | 2.0 | 6.6 | 1.9 | 6765 |
FALL RIVER | 2.7 | 4.8 | 3.3 | 4.5 | 10548 |
FAULK | 7.0 | 2.3 | 7.9 | 2.2 | 4599 |
GRANT | 2.5 | 2.0 | 2.8 | 1.9 | 10097 |
GREGORY | 6.4 | 2.2 | 7.2 | 2.1 | 8061 |
HAAKON | 8.7 | 2.2 | 9.9 | 2.1 | 3224 |
HAMLIN | 4.9 | 3.8 | 5.6 | 3.7 | 6738 |
HAND | 5.9 | 2.3 | 6.7 | 2.2 | 6964 |
HANSON | 3.7 | 4.3 | 4.3 | 4.1 | 4766 |
HARDING | 6.7 | 2.1 | 7.6 | 2.0 | 2320 |
HUGHES | 4.6 | 2.3 | 5.3 | 2.2 | 10078 |
HUTCHINSON | 4.7 | 4.2 | 5.4 | 4.0 | 11280 |
HYDE | 5.9 | 2.3 | 6.7 | 2.2 | 2724 |
JACKSON | 6.9 | 2.2 | 7.8 | 2.1 | 1596 |
JERAULD | 5.8 | 3.0 | 6.6 | 2.9 | 4293 |
JONES | 6.4 | 2.2 | 7.2 | 2.1 | 2194 |
KINGSBURY | 6.0 | 3.2 | 6.8 | 3.1 | 9653 |
LAKE | 4.6 | 3.7 | 5.2 | 3.5 | 11782 |
LAWRENCE | 4.5 | 2.0 | 5.1 | 1.9 | 16828 |
LINCOLN | 3.4 | 4.5 | 4.0 | 4.3 | 12599 |
LYMAN | 7.6 | 2.1 | 8.6 | 2.1 | 4514 |
MCCOOK | 4.7 | 4.3 | 5.4 | 4.1 | 8587 |
MCPHERSON | 5.1 | 2.1 | 5.8 | 2.0 | 6541 |
MARSHALL | 4.7 | 2.4 | 5.4 | 2.3 | 7338 |
MEADE | 6.2 | 2.1 | 7.0 | 2.0 | 11737 |
MELLETTE | 5.6 | 2.1 | 6.5 | 2.0 | 2881 |
MINER | 4.3 | 4.1 | 5.0 | 3.9 | 5900 |
MINNEHAHA | 4.0 | 4.0 | 4.5 | 3.8 | 77568 |
MOODY | 2.3 | 4.2 | 2.7 | 4.0 | 9066 |
PENNINGTON | 5.8 | 2.0 | 6.6 | 1.9 | 44316 |
PERKINS | 5.4 | 2.0 | 6.2 | 1.9 | 6432 |
POTTER | 6.4 | 2.1 | 7.3 | 2.0 | 4787 |
ROBERTS | 5.2 | 2.3 | 5.9 | 2.2 | 14188 |
SANBORN | 6.0 | 2.1 | 6.8 | 2.1 | 4931 |
SHANNON | 2.0 | 5.4 | 2.4 | 5.1 | 5812 |
SPINK | 5.6 | 2.2 | 6.3 | 2.1 | 11994 |
STANLEY | 5.3 | 4.2 | 6.2 | 4.0 | 2921 |
SULLY | 6.1 | 2.2 | 6.9 | 2.1 | 2669 |
TODD | 5.5 | 2.1 | 6.2 | 2.0 | 4720 |
TRIPP | 6.6 | 2.3 | 7.4 | 2.2 | 8979 |
TURNER | 4.0 | 4.5 | 4.8 | 4.3 | 11698 |
UNION | 3.4 | 4.5 | 4.0 | 4.3 | 10539 |
WALWORTH | 5.9 | 2.1 | 6.7 | 2.0 | 7841 |
WASHABAUGH | 3.1 | 5.1 | 3.7 | 4.8 | 1599 |
YANKTON | 1.8 | 6.3 | 2.3 | 5.9 | 17123 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ANDERSON | 1.7 | 1.7 | 2.1 | 1.6 | 59673 |
BEDFORD | 1.5 | 1.7 | 1.9 | 1.6 | 23423 |
BENTON | 1.8 | 1.7 | 2.1 | 1.6 | 11139 |
BLEDSOE | 1.5 | 1.8 | 1.9 | 1.7 | 8245 |
BLOUNT | 1.5 | 1.7 | 1.9 | 1.6 | 55897 |
BRADLEY | 1.4 | 1.8 | 1.8 | 1.7 | 34878 |
CAMPBELL | 1.2 | 2.5 | 1.5 | 2.3 | 31635 |
CANNON | 1.3 | 1.7 | 1.6 | 1.6 | 8899 |
CARROLL | 1.9 | 1.8 | 2.3 | 1.7 | 25249 |
CARTER | 1.5 | 2.2 | 1.8 | 2.0 | 42073 |
CHEATHAM | 1.7 | 2.0 | 2.1 | 1.9 | 9281 |
CHESTER | 1.8 | 2.2 | 2.2 | 2.1 | 10482 |
CLAIBORNE | 1.6 | 2.4 | 1.9 | 2.2 | 22357 |
CLAY | 1.1 | 2.7 | 1.4 | 2.5 | 8102 |
COCKE | 1.7 | 1.8 | 2.1 | 1.7 | 23160 |
COFFEE | 1.5 | 1.7 | 1.9 | 1.6 | 25413 |
CROCKETT | 2.2 | 2.2 | 2.7 | 2.1 | 15763 |
CUMBERLAND | 1.6 | 1.8 | 1.9 | 1.7 | 18985 |
DAVIDSON | 1.7 | 2.0 | 2.1 | 1.9 | 354905 |
DECATUR | 1.8 | 1.7 | 2.2 | 1.6 | 8968 |
DE KALB | 1.6 | 1.8 | 1.9 | 1.7 | 11295 |
DICKSON | 1.8 | 1.7 | 2.2 | 1.6 | 18818 |
DYER | 2.5 | 2.1 | 3.0 | 1.9 | 31799 |
FAYETTE | 2.3 | 2.0 | 2.7 | 1.9 | 26281 |
FENTRESS | 1.7 | 1.7 | 2.1 | 1.6 | 14225 |
FRANKLIN | 1.4 | 1.7 | 1.7 | 1.6 | 25469 |
GIBSON | 2.6 | 2.0 | 3.2 | 1.9 | 46671 |
GILES | 1.5 | 1.7 | 1.9 | 1.6 | 25027 |
GRAINGER | 1.4 | 1.8 | 1.7 | 1.7 | 12844 |
GREENE | 1.8 | 1.8 | 2.1 | 1.7 | 41520 |
GRUNDY | 1.5 | 1.8 | 1.9 | 1.7 | 12115 |
HAMBLEN | 1.4 | 1.7 | 1.8 | 1.6 | 27851 |
HAMILTON | 1.5 | 1.7 | 1.8 | 1.6 | 220852 |
HANCOCK | 1.4 | 2.5 | 1.7 | 2.3 | 8542 |
HARDEMAN | 2.2 | 1.8 | 2.7 | 1.7 | 22550 |
HARDIN | 2.0 | 1.8 | 2.5 | 1.7 | 17121 |
HAWKINS | 1.3 | 2.3 | 1.6 | 2.2 | 30485 |
HAYWOOD | 2.3 | 2.1 | 2.8 | 2.0 | 25014 |
HENDERSON | 2.0 | 1.7 | 2.4 | 1.6 | 16724 |
HENRY | 2.0 | 1.9 | 2.4 | 1.7 | 23167 |
HICKMAN | 1.8 | 1.7 | 2.2 | 1.6 | 12720 |
HOUSTON | 1.7 | 1.7 | 2.0 | 1.6 | 5095 |
HUMPHREYS | 1.7 | 1.8 | 2.1 | 1.7 | 11231 |
JACKSON | 1.3 | 1.8 | 1.6 | 1.7 | 11025 |
JEFFERSON | 1.5 | 1.7 | 1.9 | 1.6 | 20446 |
JOHNSON | 1.2 | 2.5 | 1.4 | 2.3 | 11639 |
KNOX | 1.2 | 1.6 | 1.5 | 1.5 | 234700 |
LAKE | 2.8 | 2.0 | 3.4 | 1.9 | 10773 |
LAUDERDALE | 2.9 | 2.1 | 3.5 | 2.0 | 23685 |
LAWRENCE | 1.6 | 1.6 | 2.0 | 1.6 | 28490 |
LEWIS | 1.3 | 1.7 | 1.6 | 1.6 | 6159 |
LINCOLN | 1.8 | 1.7 | 2.2 | 1.6 | 24861 |
LOUDON | 1.3 | 1.7 | 1.7 | 1.6 | 23426 |
MCMINN | 1.4 | 1.8 | 1.8 | 1.7 | 32721 |
MCNAIRY | 2.5 | 2.3 | 3.0 | 2.2 | 19415 |
MACON | 1.3 | 1.8 | 1.6 | 1.7 | 13006 |
MADISON | 2.8 | 2.1 | 3.5 | 1.9 | 60352 |
MARION | 1.3 | 1.7 | 1.6 | 1.6 | 20742 |
MARSHALL | 1.5 | 1.7 | 1.9 | 1.6 | 17382 |
MAURY | 2.0 | 1.7 | 2.4 | 1.6 | 40934 |
MEIGS | 1.3 | 1.7 | 1.6 | 1.6 | 5686 |
MONROE | 1.8 | 1.7 | 2.3 | 1.6 | 24008 |
MONTGOMERY | 1.8 | 1.9 | 2.2 | 1.8 | 49060 |
MOORE | 1.5 | 1.7 | 1.8 | 1.6 | 3741 |
MORGAN | 1.5 | 1.7 | 1.8 | 1.6 | 15119 |
OBION | 2.9 | 2.2 | 3.5 | 2.0 | 28168 |
OVERTON | 1.3 | 1.8 | 1.6 | 1.7 | 16332 |
PERRY | 1.7 | 1.7 | 2.0 | 1.6 | 5956 |
PICKETT | 1.6 | 2.2 | 2.0 | 2.1 | 4814 |
POLK | 1.6 | 1.8 | 1.9 | 1.7 | 13260 |
PUTNAM | 1.3 | 1.8 | 1.7 | 1.7 | 29602 |
RHEA | 1.5 | 1.8 | 1.9 | 1.7 | 15964 |
ROANE | 1.5 | 1.7 | 1.9 | 1.6 | 34836 |
ROBERTSON | 1.7 | 1.9 | 2.0 | 1.8 | 27154 |
RUTHERFORD | 1.3 | 1.7 | 1.6 | 1.6 | 45658 |
SCOTT | 0.9 | 2.9 | 1.1 | 2.6 | 16535 |
SEQUATCHIE | 1.3 | 1.8 | 1.6 | 1.7 | 5787 |
SEVIER | 2.0 | 1.8 | 2.5 | 1.7 | 23750 |
SHELBY | 2.1 | 1.7 | 2.6 | 1.6 | 543860 |
SMITH | 1.3 | 2.1 | 1.6 | 1.9 | 13231 |
STEWART | 1.8 | 1.7 | 2.2 | 1.6 | 8613 |
SULLIVAN | 1.8 | 2.3 | 2.2 | 2.1 | 103171 |
SUMNER | 1.7 | 1.9 | 2.0 | 1.8 | 34674 |
TIPTON | 2.8 | 2.1 | 3.4 | 1.9 | 29263 |
TROUSDALE | 1.3 | 1.8 | 1.6 | 1.7 | 5261 |
UNICOI | 1.4 | 1.7 | 1.7 | 1.6 | 15546 |
UNION | 1.4 | 1.7 | 1.7 | 1.6 | 8597 |
VAN BUREN | 1.4 | 1.8 | 1.7 | 1.7 | 3852 |
WARREN | 1.5 | 1.8 | 1.8 | 1.7 | 22621 |
WASHINGTON | 1.6 | 2.1 | 2.0 | 2.0 | 62035 |
WAYNE | 1.7 | 1.7 | 2.1 | 1.6 | 13037 |
WEAKLEY | 3.4 | 2.1 | 4.1 | 1.9 | 26379 |
WHITE | 1.4 | 1.8 | 1.7 | 1.7 | 15936 |
WILLIAMSON | 1.5 | 1.8 | 1.8 | 1.7 | 24714 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ANDERSON | 2.1 | 1.8 | 2.5 | 1.7 | 30296 |
ANDREWS | 1.0 | 1.9 | 1.3 | 1.8 | 8594 |
ANGELINA | 2.0 | 2.6 | 2.5 | 2.4 | 37636 |
ARANSAS | 0.8 | 1.9 | 1.0 | 1.8 | 5423 |
ARCHER | 2.5 | 1.7 | 3.0 | 1.6 | 6514 |
ARMSTRONG | 1.3 | 1.9 | 1.8 | 1.7 | 2107 |
ATASCOSA | 0.8 | 1.8 | 1.0 | 1.6 | 19531 |
AUSTIN | 1.7 | 2.9 | 2.0 | 2.7 | 14285 |
BAILEY | 1.5 | 2.0 | 2.0 | 1.8 | 8233 |
BANDERA | 0.4 | 1.9 | 0.5 | 1.7 | 4189 |
BASTROP | 1.0 | 1.9 | 1.2 | 1.8 | 18475 |
BAYLOR | 0.7 | 1.7 | 1.0 | 1.6 | 6461 |
BEE | 0.8 | 1.9 | 1.0 | 1.8 | 20548 |
BELL | 1.5 | 1.7 | 1.8 | 1.6 | 82438 |
BEXAR | 1.1 | 1.9 | 1.3 | 1.8 | 579801 |
BLANCO | 0.5 | 1.8 | 0.6 | 1.6 | 3726 |
BORDEN | 0.7 | 2.0 | 0.9 | 1.8 | 1098 |
BOSQUE | 2.0 | 1.8 | 2.4 | 1.7 | 11400 |
BOWIE | 2.8 | 1.9 | 3.4 | 1.8 | 61121 |
BRAZORIA | 1.8 | 2.8 | 2.2 | 2.6 | 59156 |
BRAZOS | 1.4 | 1.8 | 1.7 | 1.6 | 41150 |
BREWSTER | 0.5 | 1.7 | 0.6 | 1.6 | 6940 |
BRISCOE | 1.7 | 2.0 | 2.3 | 1.8 | 3549 |
BROOKS | 0.7 | 2.0 | 0.9 | 1.9 | 8951 |
BROWN | 1.8 | 1.7 | 2.2 | 1.6 | 26959 |
BURLESON | 1.4 | 1.8 | 1.7 | 1.7 | 12227 |
BURNET | 0.4 | 1.7 | 0.6 | 1.6 | 9895 |
CALDWELL | 0.9 | 1.8 | 1.1 | 1.7 | 18445 |
CALHOUN | 0.9 | 1.9 | 1.0 | 1.8 | 12360 |
CALLAHAN | 1.8 | 2.1 | 2.2 | 2.0 | 8596 |
CAMERON | 0.8 | 2.0 | 1.0 | 1.8 | 136190 |
CAMP | 2.5 | 1.8 | 3.0 | 1.7 | 8362 |
CARSON | 1.3 | 1.8 | 1.8 | 1.7 | 7245 |
CASS | 2.6 | 1.8 | 3.1 | 1.7 | 25361 |
CASTRO | 1.5 | 1.9 | 2.1 | 1.7 | 6909 |
CHAMBERS | 1.8 | 2.8 | 2.1 | 2.6 | 8942 |
CHEROKEE | 2.6 | 1.9 | 3.1 | 1.8 | 36327 |
CHILDRESS | 1.1 | 2.0 | 1.5 | 1.8 | 10553 |
CLAY | 3.3 | 1.8 | 3.9 | 1.7 | 9240 |
COCHRAN | 1.2 | 2.1 | 1.7 | 1.9 | 6132 |
COKE | 0.5 | 1.7 | 0.6 | 1.6 | 3851 |
COLEMAN | 0.6 | 1.8 | 0.8 | 1.6 | 14207 |
COLLIN | 3.9 | 1.8 | 4.7 | 1.7 | 41500 |
COLLINGSWORT | 1.3 | 1.9 | 1.7 | 1.8 | 7925 |
COLORADO | 1.0 | 1.9 | 1.2 | 1.8 | 17951 |
COMAL | 1.0 | 1.8 | 1.2 | 1.7 | 17843 |
COMANCHE | 1.7 | 1.8 | 2.0 | 1.7 | 13963 |
CONCHO | 0.6 | 1.7 | 0.8 | 1.6 | 4483 |
COOKE | 4.2 | 1.9 | 5.0 | 1.8 | 22319 |
CORYELL | 1.4 | 1.8 | 1.7 | 1.7 | 19549 |
COTTLE | 0.7 | 1.8 | 0.9 | 1.7 | 5297 |
CRANE | 1.3 | 1.9 | 1.4 | 1.8 | 4276 |
CROCKETT | 0.3 | 1.8 | 0.4 | 1.6 | 4081 |
CROSBY | 1.0 | 2.1 | 1.4 | 1.9 | 9905 |
CULBERSON | 0.9 | 2.0 | 1.2 | 1.8 | 2239 |
DALLAM | 1.8 | 2.6 | 2.4 | 2.3 | 7069 |
DALLAS | 3.7 | 1.8 | 4.4 | 1.7 | 757907 |
DAWSON | 0.6 | 2.2 | 0.8 | 2.0 | 19141 |
DEAF SMITH | 1.5 | 1.9 | 2.1 | 1.7 | 10843 |
DELTA | 2.8 | 1.8 | 3.4 | 1.7 | 7642 |
DENTON | 4.0 | 1.9 | 4.8 | 1.8 | 43943 |
DE WITT | 0.9 | 1.9 | 1.1 | 1.8 | 22002 |
DICKENS | 0.7 | 1.9 | 1.0 | 1.8 | 6235 |
DIMMIT | 0.9 | 1.8 | 1.1 | 1.7 | 10416 |
DONLEY | 1.5 | 2.0 | 2.0 | 1.8 | 5465 |
DUVAL | 0.7 | 2.0 | 0.8 | 1.8 | 14689 |
EASTLAND | 2.1 | 1.7 | 2.5 | 1.6 | 22065 |
ECTOR | 1.6 | 1.8 | 1.8 | 1.8 | 62884 |
EDWARDS | 0.3 | 1.7 | 0.4 | 1.6 | 2656 |
ELLIS | 2.9 | 1.8 | 3.4 | 1.7 | 44691 |
EL PASO | 1.0 | 2.3 | 1.3 | 2.0 | 245587 |
ERATH | 1.8 | 1.8 | 2.2 | 1.7 | 17499 |
FALLS | 1.7 | 1.8 | 2.1 | 1.7 | 24405 |
FANNIN | 4.7 | 2.0 | 5.6 | 1.9 | 28123 |
FAYETTE | 1.3 | 1.8 | 1.5 | 1.7 | 22566 |
FISHER | 0.8 | 1.8 | 1.1 | 1.6 | 9683 |
FLOYD | 1.3 | 2.0 | 1.8 | 1.8 | 11314 |
FOARD | 0.7 | 1.8 | 1.0 | 1.7 | 3753 |
FORT BEND | 1.6 | 2.8 | 2.0 | 2.6 | 35082 |
FRANKLIN | 2.7 | 1.8 | 3.3 | 1.7 | 5767 |
FREESTONE | 1.7 | 1.8 | 2.1 | 1.7 | 14349 |
FRIO | 0.9 | 1.9 | 1.1 | 1.8 | 10251 |
GAINES | 1.0 | 2.0 | 1.4 | 1.8 | 10337 |
GALVESTON | 1.5 | 3.1 | 1.8 | 2.9 | 124670 |
GARZA | 0.6 | 2.0 | 0.8 | 1.8 | 6423 |
GILLESPIE | 0.4 | 1.8 | 0.6 | 1.7 | 10320 |
GLASSCOCK | 0.4 | 1.8 | 0.5 | 1.6 | 1102 |
GOLIAD | 0.8 | 2.0 | 1.0 | 1.9 | 5882 |
GONZALES | 0.9 | 1.8 | 1.2 | 1.7 | 19754 |
GRAY | 1.3 | 1.9 | 1.7 | 1.7 | 27622 |
GRAYSON | 4.6 | 1.9 | 5.5 | 1.8 | 71565 |
GREGG | 2.1 | 1.8 | 2.6 | 1.7 | 64732 |
GRIMES | 2.0 | 2.7 | 2.5 | 2.5 | 14104 |
GUADALUPE | 0.8 | 1.8 | 1.0 | 1.6 | 26931 |
HALE | 1.5 | 1.9 | 2.0 | 1.7 | 31861 |
HALL | 1.3 | 1.9 | 1.7 | 1.7 | 9397 |
HAMILTON | 1.8 | 1.8 | 2.2 | 1.7 | 9741 |
HANSFORD | 1.6 | 2.6 | 2.2 | 2.3 | 5054 |
HARDEMAN | 0.8 | 1.8 | 1.1 | 1.7 | 9388 |
HARDIN | 1.8 | 2.8 | 2.2 | 2.6 | 21701 |
HARRIS | 1.9 | 2.8 | 2.3 | 2.6 | 992194 |
HARRISON | 2.3 | 1.7 | 2.8 | 1.6 | 46832 |
HARTLEY | 1.8 | 1.9 | 2.5 | 1.7 | 2026 |
HASKELL | 0.7 | 1.8 | 0.9 | 1.6 | 12650 |
HAYS | 1.0 | 1.8 | 1.2 | 1.7 | 18729 |
HEMPHILL | 1.2 | 1.9 | 1.6 | 1.7 | 3724 |
HENDERSON | 2.5 | 1.8 | 3.0 | 1.7 | 22715 |
HIDALGO | 0.8 | 2.0 | 1.0 | 1.8 | 169142 |
HILL | 2.0 | 1.8 | 2.4 | 1.7 | 28040 |
HOCKLEY | 1.3 | 2.0 | 1.8 | 1.8 | 21231 |
HOOD | 2.1 | 1.8 | 2.6 | 1.7 | 5352 |
HOPKINS | 2.7 | 1.8 | 3.3 | 1.7 | 21414 |
HOUSTON | 1.8 | 1.7 | 2.1 | 1.6 | 21362 |
HOWARD | 0.6 | 1.9 | 0.8 | 1.8 | 32424 |
HUDSPETH | 1.0 | 2.3 | 1.3 | 2.0 | 3897 |
HUNT | 2.9 | 1.8 | 3.6 | 1.7 | 41315 |
HUTCHINSON | 1.3 | 2.3 | 1.9 | 2.0 | 32790 |
IRION | 0.5 | 1.8 | 0.7 | 1.6 | 1419 |
JACK | 2.7 | 1.8 | 3.2 | 1.7 | 7612 |
JACKSON | 0.9 | 1.9 | 1.1 | 1.8 | 13400 |
JASPER | 2.4 | 2.6 | 2.8 | 2.4 | 20916 |
JEFF DAVIS | 0.9 | 2.0 | 1.2 | 1.8 | 1884 |
JEFFERSON | 1.7 | 1.7 | 2.0 | 1.6 | 216578 |
JIM HOGG | 0.8 | 2.0 | 1.0 | 1.8 | 5235 |
JIM WELLS | 0.9 | 1.9 | 1.0 | 1.8 | 30779 |
JOHNSON | 2.4 | 1.8 | 2.9 | 1.7 | 32804 |
JONES | 0.6 | 1.7 | 0.8 | 1.6 | 20936 |
KARNES | 0.9 | 1.9 | 1.1 | 1.8 | 16224 |
KAUFMAN | 2.6 | 1.8 | 3.1 | 1.7 | 30647 |
KENDALL | 0.4 | 1.9 | 0.5 | 1.8 | 5627 |
KENEDY | 0.7 | 1.9 | 0.9 | 1.8 | 739 |
KENT | 0.7 | 1.9 | 0.9 | 1.7 | 2028 |
KERR | 0.4 | 1.9 | 0.6 | 1.7 | 15207 |
KIMBLE | 0.4 | 1.9 | 0.5 | 1.7 | 4329 |
KING | 0.6 | 1.9 | 0.8 | 1.7 | 774 |
KINNEY | 0.2 | 1.7 | 0.3 | 1.6 | 2577 |
KLEBERG | 0.8 | 1.9 | 0.9 | 1.8 | 25418 |
KNOX | 0.8 | 1.8 | 1.0 | 1.6 | 9138 |
LAMAR | 3.9 | 2.0 | 4.6 | 1.9 | 39298 |
LAMB | 1.5 | 1.9 | 2.1 | 1.7 | 20812 |
LAMPASAS | 0.5 | 1.7 | 0.7 | 1.6 | 9708 |
LA SALLE | 0.7 | 1.8 | 0.9 | 1.7 | 6845 |
LAVACA | 1.0 | 1.8 | 1.2 | 1.7 | 21321 |
LEE | 1.5 | 1.8 | 1.8 | 1.7 | 9636 |
LEON | 1.9 | 1.8 | 2.2 | 1.7 | 11141 |
LIBERTY | 1.8 | 2.8 | 2.2 | 2.6 | 28795 |
LIMESTONE | 2.1 | 1.9 | 2.5 | 1.8 | 23194 |
LIPSCOMB | 2.1 | 1.9 | 2.8 | 1.8 | 3549 |
LIVE OAK | 0.9 | 1.8 | 1.1 | 1.7 | 8540 |
LLANO | 0.4 | 1.7 | 0.6 | 1.6 | 5320 |
LOVING | 0.9 | 2.0 | 1.2 | 1.8 | 228 |
LUBBOCK | 1.3 | 2.0 | 1.8 | 1.8 | 124517 |
LYNN | 1.3 | 2.0 | 1.7 | 1.8 | 10981 |
MCCULLOCH | 0.6 | 1.8 | 0.8 | 1.6 | 10471 |
MCLENNAN | 1.9 | 1.8 | 2.3 | 1.7 | 138653 |
MCMULLEN | 0.7 | 1.8 | 0.8 | 1.7 | 1159 |
MADISON | 2.0 | 2.0 | 2.4 | 1.9 | 7463 |
MARION | 2.4 | 1.9 | 2.9 | 1.8 | 9270 |
MARTIN | 0.6 | 2.0 | 0.8 | 1.8 | 5343 |
MASON | 0.5 | 1.7 | 0.6 | 1.6 | 4450 |
MATAGORDA | 1.0 | 1.8 | 1.2 | 1.7 | 23340 |
MAVERICK | 0.8 | 1.9 | 0.9 | 1.8 | 13236 |
MEDINA | 1.0 | 1.8 | 1.2 | 1.7 | 17820 |
MENARD | 0.5 | 1.7 | 0.6 | 1.6 | 3661 |
MIDLAND | 0.7 | 1.9 | 0.9 | 1.8 | 43606 |
MILAM | 1.5 | 1.8 | 1.9 | 1.7 | 23018 |
MILLS | 1.3 | 1.7 | 1.6 | 1.6 | 5348 |
MITCHELL | 0.5 | 1.8 | 0.7 | 1.6 | 13036 |
MONTAGUE | 4.0 | 1.9 | 4.8 | 1.8 | 16146 |
MONTGOMERY | 1.8 | 2.8 | 2.2 | 2.6 | 25496 |
MOORE | 1.4 | 1.9 | 1.9 | 1.7 | 13958 |
MORRIS | 2.5 | 1.8 | 3.0 | 1.7 | 10771 |
MOTLEY | 1.3 | 2.0 | 1.7 | 1.8 | 3496 |
NACOGDOCHES | 1.7 | 1.8 | 2.1 | 1.7 | 29363 |
NAVARRO | 2.1 | 1.8 | 2.6 | 1.7 | 37581 |
NEWTON | 2.4 | 2.6 | 2.8 | 2.4 | 10636 |
NOLAN | 0.6 | 1.7 | 0.7 | 1.6 | 19452 |
NUECES | 0.7 | 1.6 | 0.9 | 1.6 | 189312 |
OCHILTREE | 1.7 | 2.6 | 2.3 | 2.3 | 7447 |
OLDHAM | 1.9 | 2.3 | 2.5 | 2.1 | 1779 |
ORANGE | 2.3 | 2.8 | 2.8 | 2.6 | 48977 |
PALO PINTO | 2.2 | 1.7 | 2.7 | 1.6 | 18589 |
PANOLA | 2.1 | 1.9 | 2.5 | 1.8 | 18239 |
PARKER | 2.4 | 1.8 | 2.9 | 1.7 | 22107 |
PARMER | 1.7 | 1.9 | 2.2 | 1.8 | 7401 |
PECOS | 0.4 | 1.9 | 0.6 | 1.7 | 10799 |
POLK | 2.0 | 2.7 | 2.5 | 2.5 | 15210 |
POTTER | 1.3 | 2.1 | 1.9 | 1.8 | 91308 |
PRESIDIO | 0.4 | 1.8 | 0.6 | 1.6 | 6553 |
RAINS | 2.7 | 1.8 | 3.2 | 1.7 | 3728 |
RANDALL | 1.3 | 1.7 | 1.8 | 1.6 | 22332 |
REAGAN | 0.5 | 1.8 | 0.6 | 1.6 | 3403 |
REAL | 0.3 | 1.7 | 0.4 | 1.6 | 2310 |
RED RIVER | 3.0 | 1.8 | 3.6 | 1.7 | 19231 |
REEVES | 0.9 | 1.8 | 1.2 | 1.7 | 14253 |
REFUGIO | 0.0 | 25.0 | 0.1 | 19.3 | 10477 |
ROBERTS | 1.4 | 1.9 | 1.9 | 1.7 | 1047 |
ROBERTSON | 1.5 | 1.8 | 1.9 | 1.7 | 18313 |
ROCKWALL | 3.2 | 1.8 | 3.8 | 1.7 | 6042 |
RUNNELS | 0.6 | 1.7 | 0.8 | 1.6 | 16022 |
RUSK | 2.2 | 1.8 | 2.6 | 1.7 | 39828 |
SABINE | 2.2 | 2.7 | 2.7 | 2.5 | 8031 |
SAN AUGUSTIN | 2.0 | 2.7 | 2.5 | 2.5 | 8365 |
SAN JACINTO | 1.7 | 2.8 | 2.0 | 2.6 | 6736 |
SAN PATRICIO | 0.8 | 1.9 | 1.0 | 1.8 | 39740 |
SAN SABA | 0.6 | 1.8 | 0.7 | 1.6 | 7700 |
SCHLEICHER | 0.4 | 1.7 | 0.6 | 1.6 | 2827 |
SCURRY | 0.6 | 1.9 | 0.8 | 1.7 | 21752 |
SHACKELFORD | 1.8 | 1.8 | 2.2 | 1.7 | 4571 |
SHELBY | 1.5 | 1.8 | 1.9 | 1.7 | 22203 |
SHERMAN | 1.3 | 1.9 | 1.8 | 1.7 | 2511 |
SMITH | 2.5 | 2.0 | 3.0 | 1.9 | 79650 |
SOMERVELL | 1.8 | 1.7 | 2.2 | 1.6 | 2558 |
STARR | 0.8 | 1.9 | 1.0 | 1.8 | 15302 |
STEPHENS | 1.8 | 1.8 | 2.2 | 1.7 | 9870 |
STERLING | 0.5 | 1.8 | 0.7 | 1.6 | 1240 |
STONEWALL | 0.7 | 1.8 | 1.0 | 1.6 | 3401 |
SUTTON | 0.3 | 1.7 | 0.4 | 1.6 | 3741 |
SWISHER | 1.4 | 1.9 | 1.9 | 1.7 | 9251 |
TARRANT | 3.2 | 1.8 | 3.9 | 1.7 | 436582 |
TAYLOR | 0.5 | 1.8 | 0.6 | 1.6 | 79398 |
TERRELL | 0.3 | 1.7 | 0.4 | 1.6 | 2943 |
TERRY | 1.3 | 2.0 | 1.7 | 1.8 | 14455 |
THROCKMORTON | 1.7 | 1.7 | 2.0 | 1.6 | 3251 |
TITUS | 2.7 | 1.8 | 3.3 | 1.7 | 17081 |
TOM GREEN | 0.5 | 1.8 | 0.6 | 1.6 | 61352 |
TRAVIS | 1.1 | 1.8 | 1.3 | 1.7 | 182724 |
TRINITY | 2.0 | 2.7 | 2.5 | 2.5 | 8979 |
TYLER | 2.0 | 2.7 | 2.4 | 2.5 | 11023 |
UPSHUR | 2.4 | 1.9 | 2.9 | 1.8 | 20384 |
UPTON | 0.4 | 1.8 | 0.6 | 1.7 | 5704 |
UVALDE | 0.4 | 1.9 | 0.5 | 1.7 | 16360 |
VAL VERDE | 0.3 | 1.8 | 0.4 | 1.7 | 19964 |
VAN ZANDT | 3.1 | 1.9 | 3.7 | 1.8 | 21104 |
VICTORIA | 0.8 | 1.7 | 0.9 | 1.6 | 37712 |
WALKER | 2.0 | 2.7 | 2.5 | 2.5 | 20721 |
WALLER | 1.8 | 2.8 | 2.1 | 2.6 | 12005 |
WARD | 0.7 | 1.9 | 1.0 | 1.7 | 14013 |
WASHINGTON | 1.7 | 2.8 | 2.1 | 2.6 | 19949 |
WEBB | 0.7 | 1.8 | 0.9 | 1.7 | 59822 |
WHARTON | 1.1 | 1.9 | 1.3 | 1.8 | 36964 |
WHEELER | 1.5 | 2.1 | 2.0 | 1.9 | 9312 |
WICHITA | 1.0 | 1.8 | 1.3 | 1.6 | 109133 |
WILBARGER | 0.7 | 1.8 | 1.0 | 1.6 | 19364 |
WILLACY | 0.7 | 1.9 | 0.9 | 1.8 | 20564 |
WILLIAMSON | 1.7 | 1.8 | 2.0 | 1.7 | 37235 |
WILSON | 0.8 | 1.9 | 1.0 | 1.8 | 14067 |
WINKLER | 1.0 | 1.9 | 1.2 | 1.7 | 11587 |
WISE | 3.8 | 1.9 | 4.5 | 1.8 | 16514 |
WOOD | 3.2 | 1.8 | 3.8 | 1.7 | 19755 |
YOAKUM | 1.0 | 2.2 | 1.4 | 2.0 | 5906 |
YOUNG | 2.1 | 1.7 | 2.5 | 1.6 | 17001 |
ZAPATA | 0.8 | 1.8 | 0.9 | 1.7 | 4401 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
BEAVER | 2.4 | 1.8 | 3.1 | 1.7 | 4633 |
ELDER1 | 2.2 | 1.8 | 2.8 | 1.6 | 438 |
BOX ELDER2 | 3.1 | 1.9 | 4.1 | 1.8 | 21561 |
CACHE | 2.8 | 1.9 | 3.7 | 1.8 | 34494 |
CARBON | 3.6 | 2.1 | 4.5 | 1.9 | 23300 |
DAGGETT | 3.1 | 1.8 | 3.9 | 1.7 | 703 |
DAVIS | 3.1 | 1.9 | 4.2 | 1.7 | 45270 |
DUCHESNE | 2.7 | 1.8 | 3.5 | 1.6 | 7725 |
EMERY | 3.8 | 1.9 | 4.7 | 1.8 | 5980 |
GARFIELD | 7.2 | 2.0 | 8.9 | 1.8 | 3904 |
GRAND | 2.4 | 1.8 | 3.2 | 1.7 | 3791 |
IRON1 | 1.1 | 2.2 | 1.7 | 1.9 | 605 |
IRON2 | 1.0 | 2.2 | 1.6 | 1.9 | 2034 |
IRON3 | 1.1 | 2.2 | 1.6 | 1.9 | 7496 |
JUAB | 4.4 | 2.0 | 5.5 | 1.9 | 5391 |
KANE1 | 6.2 | 2.4 | 7.8 | 2.2 | 1516 |
KANE2 | 8.1 | 2.4 | 10.0 | 2.2 | 941 |
MILLARD | 7.2 | 2.2 | 8.7 | 2.1 | 8739 |
MORGAN | 3.3 | 1.9 | 4.4 | 1.8 | 2654 |
PIUTE | 4.0 | 2.1 | 5.0 | 2.0 | 1711 |
RICH | 2.5 | 1.9 | 3.4 | 1.7 | 1678 |
SALT LAKE | 3.0 | 1.8 | 4.0 | 1.7 | 320858 |
SAN JUAN | 2.0 | 2.0 | 2.5 | 1.9 | 6897 |
SANPETE | 4.1 | 2.0 | 5.0 | 1.9 | 12688 |
SEVIER | 3.9 | 2.1 | 4.8 | 2.0 | 11433 |
SUMMIT | 3.5 | 1.8 | 4.5 | 1.7 | 6288 |
TOOELE1 | 3.5 | 2.1 | 4.5 | 1.9 | 3278 |
TOOELE2 | 3.0 | 1.9 | 4.0 | 1.8 | 12733 |
UINTAH | 2.8 | 1.8 | 3.6 | 1.7 | 10845 |
UTAH | 4.8 | 1.8 | 6.2 | 1.7 | 92569 |
WASATCH | 4.5 | 1.8 | 5.7 | 1.7 | 5462 |
WASHINGTON1 | 4.8 | 2.3 | 6.3 | 2.1 | 887 |
WASHINGTON2 | 8.3 | 2.3 | 11.3 | 2.1 | 5702 |
WASHINGTON3 | 6.9 | 2.3 | 9.2 | 2.1 | 3430 |
WAYNE | 2.1 | 1.8 | 2.6 | 1.7 | 2001 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADDISON | 4.7 | 2.3 | 5.4 | 2.2 | 19712 |
BENNINGTON | 4.4 | 2.3 | 5.1 | 2.2 | 24526 |
CALEDONIA | 2.9 | 2.2 | 3.3 | 2.1 | 23516 |
CHITTENDEN | 4.4 | 2.3 | 5.1 | 2.2 | 67607 |
ESSEX | 3.1 | 2.2 | 3.6 | 2.1 | 6183 |
FRANKLIN | 3.7 | 3.1 | 4.2 | 3.0 | 29716 |
GRAND ISLE | 4.5 | 3.1 | 5.1 | 3.0 | 3204 |
LAMOILLE | 4.1 | 2.3 | 4.7 | 2.1 | 11236 |
ORANGE | 3.5 | 2.4 | 4.1 | 2.3 | 16598 |
ORLEANS | 3.5 | 2.8 | 4.0 | 2.7 | 20747 |
RUTLAND | 3.6 | 2.3 | 4.2 | 2.1 | 46251 |
WASHINGTON | 3.6 | 2.2 | 4.1 | 2.1 | 42865 |
WINDHAM | 3.9 | 2.3 | 4.5 | 2.1 | 29186 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ACCOMACK | 1.6 | 2.5 | 2.0 | 2.3 | 32478 |
ALBEMARLE | 1.4 | 1.8 | 1.7 | 1.7 | 55929 |
ALLEGHANY | 0.9 | 4.4 | 1.1 | 4.0 | 28736 |
AMELIA | 1.3 | 3.6 | 1.6 | 3.3 | 7873 |
AMHERST | 0.6 | 4.9 | 0.8 | 4.5 | 21448 |
APPOMATTOX | 1.0 | 3.4 | 1.3 | 3.2 | 8928 |
ARLINGTON | 1.5 | 1.8 | 1.9 | 1.7 | 155994 |
AUGUSTA | 1.2 | 3.3 | 1.4 | 3.0 | 70203 |
BATH | 1.1 | 4.2 | 1.4 | 3.9 | 5892 |
BEDFORD | 1.5 | 3.1 | 1.9 | 2.9 | 30123 |
BLAND | 1.7 | 1.8 | 2.0 | 1.7 | 6244 |
BOTETOURT | 0.9 | 4.4 | 1.1 | 4.1 | 16171 |
BRUNSWICK | 1.6 | 1.8 | 1.9 | 1.7 | 19133 |
BUCHANAN | 1.9 | 3.1 | 2.3 | 2.9 | 36165 |
BUCKINGHAM | 1.8 | 1.9 | 2.1 | 1.8 | 11692 |
CAMPBELL | 1.2 | 3.3 | 1.5 | 3.0 | 81444 |
CAROLINE | 1.1 | 3.5 | 1.3 | 3.2 | 12577 |
CARROLL | 1.7 | 2.8 | 2.0 | 2.6 | 26431 |
CHARLES CITY | 1.3 | 3.3 | 1.6 | 3.0 | 5027 |
CHARLOTTE | 1.2 | 1.8 | 1.5 | 1.7 | 13767 |
CHESTERFIELD | 0.9 | 3.7 | 1.2 | 3.3 | 286971 |
CLARKE | 1.5 | 1.8 | 1.9 | 1.7 | 7444 |
CRAIG | 0.9 | 4.2 | 1.1 | 3.9 | 3412 |
CULPEPER | 1.7 | 1.8 | 2.1 | 1.7 | 14027 |
CUMBERLAND | 1.9 | 1.9 | 2.3 | 1.8 | 6871 |
DICKENSON | 1.7 | 2.7 | 2.1 | 2.5 | 22047 |
DINWIDDIE | 1.7 | 1.8 | 2.1 | 1.7 | 89445 |
ESSEX | 1.7 | 1.8 | 2.0 | 1.7 | 6598 |
FAIRFAX | 1.4 | 3.1 | 1.7 | 2.8 | 247759 |
FAUQUIER | 1.3 | 3.3 | 1.6 | 3.0 | 22449 |
FLOYD | 1.7 | 2.9 | 2.1 | 2.7 | 10971 |
FLUVANNA | 1.6 | 1.9 | 2.0 | 1.8 | 7166 |
FRANKLIN | 1.0 | 3.9 | 1.2 | 3.6 | 25138 |
FREDERICK | 1.0 | 3.5 | 1.2 | 3.2 | 33787 |
GILES | 1.1 | 3.4 | 1.4 | 3.2 | 18216 |
GLOUCESTER | 1.6 | 1.9 | 1.9 | 1.8 | 11015 |
GOOCHLAND | 1.4 | 3.4 | 1.7 | 3.2 | 9052 |
GRAYSON | 2.1 | 2.1 | 2.5 | 2.0 | 20684 |
GREENE | 1.0 | 3.6 | 1.2 | 3.3 | 4734 |
GREENSVILLE | 1.7 | 1.8 | 2.0 | 1.7 | 16248 |
HALIFAX | 1.5 | 1.7 | 1.8 | 1.6 | 40669 |
HANOVER | 1.3 | 3.4 | 1.6 | 3.2 | 24350 |
HENRICO | 1.8 | 1.8 | 2.3 | 1.7 | 82841 |
HENRY | 1.6 | 1.8 | 1.9 | 1.7 | 53009 |
HIGHLAND | 0.9 | 4.3 | 1.1 | 4.0 | 3711 |
ISLE OF WIGH | 1.8 | 1.9 | 2.1 | 1.8 | 15869 |
JAMES CITY | 1.5 | 1.8 | 1.9 | 1.7 | 15180 |
KING AND QUE | 1.8 | 2.9 | 2.2 | 2.7 | 6126 |
KING GEORGE | 1.5 | 1.8 | 1.9 | 1.7 | 6936 |
KING WILLIAM | 1.9 | 2.8 | 2.4 | 2.6 | 7575 |
LANCASTER | 1.8 | 1.8 | 2.2 | 1.7 | 8865 |
LEE | 1.7 | 2.2 | 2.1 | 2.0 | 31732 |
LOUDOUN | 1.5 | 3.1 | 1.8 | 2.8 | 22590 |
LOUISA | 1.6 | 2.0 | 1.9 | 1.9 | 12883 |
LUNENBURG | 1.1 | 3.5 | 1.3 | 3.3 | 13438 |
MADISON | 1.3 | 3.3 | 1.5 | 3.1 | 8237 |
MATHEWS | 1.8 | 1.9 | 2.1 | 1.8 | 7136 |
MECKLENBURG | 1.3 | 3.3 | 1.6 | 3.0 | 32615 |
MIDDLESEX | 1.8 | 1.8 | 2.2 | 1.7 | 6542 |
MONTGOMERY | 1.3 | 3.1 | 1.6 | 2.9 | 40287 |
NELSON | 1.3 | 3.3 | 1.6 | 3.1 | 13497 |
NEW KENT | 1.5 | 3.1 | 1.8 | 2.8 | 4199 |
NORTHAMPTON | 1.9 | 1.8 | 2.2 | 1.8 | 17160 |
NORTHUMBERLA | 1.8 | 1.8 | 2.2 | 1.7 | 10088 |
NOTTOWAY | 1.7 | 1.8 | 2.0 | 1.7 | 15332 |
ORANGE | 1.4 | 3.1 | 1.7 | 2.9 | 12817 |
PAGE | 1.5 | 1.8 | 1.9 | 1.7 | 15329 |
PATRICK | 1.9 | 2.5 | 2.3 | 2.3 | 15493 |
PITTSYLVANIA | 1.5 | 3.1 | 1.8 | 2.8 | 102742 |
POWHATAN | 1.4 | 3.4 | 1.7 | 3.2 | 6063 |
PRINCE EDWAR | 1.1 | 3.4 | 1.4 | 3.2 | 14854 |
PRINCE GEORG | 2.0 | 1.8 | 2.4 | 1.7 | 19915 |
PRINCE WILLI | 1.7 | 1.8 | 2.1 | 1.7 | 34323 |
PULASKI | 1.4 | 3.1 | 1.7 | 2.9 | 27547 |
RAPPAHANNOCK | 1.4 | 3.3 | 1.7 | 3.1 | 5797 |
RICHMOND | 1.7 | 1.8 | 2.0 | 1.7 | 6268 |
ROANOKE | 1.5 | 3.0 | 1.9 | 2.8 | 144202 |
ROCKBRIDGE | 1.2 | 3.4 | 1.5 | 3.2 | 29326 |
ROCKINGHAM | 1.0 | 3.7 | 1.3 | 3.5 | 48661 |
RUSSELL | 2.1 | 2.1 | 2.5 | 2.0 | 26594 |
SCOTT | 1.7 | 2.2 | 2.1 | 2.0 | 26860 |
SHENANDOAH | 1.0 | 3.6 | 1.2 | 3.3 | 21447 |
SMYTH | 2.1 | 1.9 | 2.5 | 1.8 | 30563 |
SOUTHAMPTON | 1.5 | 1.8 | 1.9 | 1.7 | 26813 |
SPOTSYLVANIA | 1.2 | 3.3 | 1.4 | 3.0 | 25519 |
STAFFORD | 1.7 | 1.8 | 2.0 | 1.7 | 14019 |
SURRY | 1.6 | 1.8 | 1.9 | 1.7 | 6219 |
SUSSEX | 1.5 | 1.8 | 1.9 | 1.7 | 12625 |
TAZEWELL | 2.2 | 2.7 | 2.6 | 2.5 | 46354 |
WARREN | 0.8 | 4.5 | 1.1 | 4.2 | 14738 |
WASHINGTON | 2.6 | 1.9 | 3.1 | 1.8 | 54224 |
WESTMORELAND | 1.8 | 1.8 | 2.2 | 1.7 | 10526 |
WISE | 2.0 | 2.2 | 2.4 | 2.0 | 53037 |
WYTHE | 1.8 | 1.7 | 2.1 | 1.6 | 22752 |
YORK | 1.7 | 1.8 | 2.1 | 1.7 | 15689 |
NORFOLK/CHES | 1.7 | 1.8 | 2.1 | 1.7 | 424997 |
HAMPTON | 1.6 | 1.8 | 1.9 | 1.7 | 72300 |
NEWPORT NEWS | 1.6 | 1.8 | 1.9 | 1.7 | 94805 |
SUFFOLK/NANS | 1.6 | 2.8 | 1.9 | 2.6 | 40137 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAMS | 0.6 | 1.9 | 0.7 | 1.8 | 8005 |
ASOTIN | 2.4 | 2.8 | 2.8 | 2.6 | 11741 |
BENTON | 0.7 | 2.0 | 0.8 | 1.9 | 55924 |
CHELAN | 0.6 | 2.5 | 0.6 | 2.4 | 39914 |
CLALLAM | 0.7 | 1.9 | 0.8 | 1.8 | 27936 |
CLARK | 0.6 | 2.0 | 0.6 | 1.9 | 88920 |
COLUMBIA | 1.9 | 2.4 | 2.2 | 2.3 | 4736 |
COWLITZ | 0.6 | 2.0 | 0.7 | 1.9 | 55253 |
DOUGLAS | 0.5 | 2.8 | 0.6 | 2.7 | 12549 |
FERRY | 0.9 | 2.6 | 1.0 | 2.4 | 4008 |
FRANKLIN | 0.6 | 1.9 | 0.7 | 1.8 | 17721 |
GARFIELD | 2.3 | 2.4 | 2.7 | 2.3 | 3106 |
GRANT | 0.5 | 2.0 | 0.6 | 1.9 | 33751 |
GRAYS HARBOR | 0.6 | 2.0 | 0.7 | 1.9 | 53994 |
ISLAND | 0.4 | 1.8 | 0.5 | 1.7 | 14716 |
JEFFERSON | 0.7 | 2.3 | 0.8 | 2.2 | 10777 |
KING | 0.7 | 2.2 | 0.8 | 2.1 | 818856 |
KITSAP | 0.6 | 2.1 | 0.7 | 2.0 | 79318 |
KITTITAS | 0.7 | 2.1 | 0.8 | 2.0 | 21482 |
KLICKITAT | 0.5 | 2.0 | 0.5 | 1.9 | 12646 |
LEWIS | 0.6 | 1.9 | 0.7 | 1.8 | 42953 |
LINCOLN | 0.7 | 1.9 | 0.8 | 1.8 | 10946 |
MASON | 0.6 | 2.0 | 0.6 | 1.9 | 15544 |
OKANOGAN | 0.7 | 2.4 | 0.8 | 2.3 | 27598 |
PACIFIC | 0.5 | 2.0 | 0.6 | 1.9 | 15753 |
PEND OREILLE | 2.6 | 2.1 | 3.0 | 2.0 | 7201 |
PIERCE | 0.7 | 2.2 | 0.8 | 2.1 | 295305 |
SAN JUAN | 0.4 | 2.0 | 0.5 | 1.9 | 3086 |
SKAGIT | 0.6 | 2.0 | 0.7 | 1.9 | 46704 |
SKAMANIA | 0.7 | 1.9 | 0.8 | 1.8 | 4966 |
SNOHOMISH | 0.8 | 2.2 | 0.9 | 2.1 | 137345 |
SPOKANE | 1.9 | 2.2 | 2.2 | 2.1 | 245691 |
STEVENS | 1.2 | 2.5 | 1.3 | 2.4 | 18287 |
THURSTON | 0.5 | 2.0 | 0.5 | 1.9 | 49204 |
WAHKIAKUM | 0.4 | 2.1 | 0.5 | 2.0 | 3659 |
WALLA WALLA | 1.8 | 2.1 | 2.1 | 2.0 | 41010 |
WHATCOM | 0.7 | 2.2 | 0.8 | 2.1 | 68259 |
WHITMAN | 2.1 | 2.1 | 2.4 | 2.0 | 31956 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
BARBOUR | 1.7 | 1.8 | 2.0 | 1.7 | 17934 |
BERKELEY | 1.2 | 1.9 | 1.5 | 1.8 | 31816 |
BOONE | 1.3 | 2.9 | 1.7 | 2.6 | 31301 |
BRAXTON | 1.3 | 3.5 | 1.7 | 3.2 | 16837 |
BROOKE | 0.9 | 3.5 | 1.2 | 3.2 | 27774 |
CABELL | 1.7 | 1.8 | 2.1 | 1.7 | 108110 |
CALHOUN | 0.6 | 5.2 | 0.9 | 4.7 | 9279 |
CLAY | 1.1 | 3.7 | 1.4 | 3.4 | 13679 |
DODDRIDGE | 1.5 | 1.9 | 1.8 | 1.8 | 8151 |
FAYETTE | 1.0 | 3.7 | 1.3 | 3.4 | 73639 |
GILMER | 0.6 | 5.2 | 0.9 | 4.7 | 9028 |
GRANT | 1.2 | 3.6 | 1.5 | 3.3 | 8561 |
GREENBRIER | 0.8 | 4.8 | 1.1 | 4.4 | 37235 |
HAMPSHIRE | 1.4 | 1.8 | 1.7 | 1.7 | 12208 |
HANCOCK | 1.4 | 2.1 | 1.7 | 2.0 | 36608 |
HARDY | 1.1 | 3.2 | 1.4 | 3.0 | 9726 |
HARRISON | 0.7 | 4.9 | 1.0 | 4.4 | 82137 |
JACKSON | 1.7 | 1.9 | 2.1 | 1.8 | 16678 |
JEFFERSON | 1.2 | 1.9 | 1.5 | 1.8 | 17813 |
KANAWHA | 1.2 | 3.8 | 1.5 | 3.5 | 245281 |
LEWIS | 1.3 | 3.5 | 1.7 | 3.3 | 20497 |
LINCOLN | 1.5 | 3.5 | 2.0 | 3.2 | 21531 |
LOGAN | 1.5 | 2.6 | 2.0 | 2.4 | 70671 |
MCDOWELL | 1.5 | 3.0 | 2.0 | 2.8 | 87191 |
MARION | 1.1 | 3.5 | 1.4 | 3.3 | 68206 |
MARSHALL | 0.6 | 5.2 | 0.8 | 4.7 | 37380 |
MASON | 1.5 | 3.5 | 1.9 | 3.3 | 23930 |
MERCER | 1.5 | 3.2 | 1.9 | 2.9 | 72119 |
MINERAL | 1.3 | 1.9 | 1.6 | 1.7 | 22341 |
MINGO | 1.5 | 3.0 | 1.9 | 2.8 | 44148 |
MONONGALIA | 0.9 | 3.9 | 1.2 | 3.6 | 58597 |
MONROE | 0.9 | 4.1 | 1.2 | 3.7 | 12470 |
MORGAN | 1.4 | 1.8 | 1.7 | 1.7 | 8320 |
NICHOLAS | 1.2 | 3.6 | 1.5 | 3.3 | 26730 |
OHIO | 1.4 | 2.0 | 1.7 | 1.9 | 70300 |
PENDLETON | 1.0 | 4.1 | 1.3 | 3.8 | 8794 |
PLEASANTS | 1.6 | 1.9 | 1.9 | 1.8 | 6691 |
POCAHONTAS | 0.9 | 3.9 | 1.1 | 3.6 | 11485 |
PRESTON | 1.7 | 1.8 | 2.0 | 1.7 | 29633 |
PUTNAM | 1.1 | 3.8 | 1.4 | 3.5 | 22100 |
RALEIGH | 1.0 | 3.9 | 1.3 | 3.5 | 88436 |
RANDOLPH | 1.2 | 3.7 | 1.5 | 3.4 | 28770 |
RITCHIE | 1.4 | 1.9 | 1.7 | 1.8 | 11830 |
ROANE | 1.4 | 1.9 | 1.7 | 1.8 | 17262 |
SUMMERS | 1.3 | 3.7 | 1.7 | 3.4 | 17678 |
TAYLOR | 1.4 | 1.9 | 1.7 | 1.8 | 16975 |
TUCKER | 1.3 | 3.5 | 1.7 | 3.3 | 9393 |
TYLER | 1.1 | 3.6 | 1.4 | 3.3 | 10317 |
UPSHUR | 0.8 | 4.7 | 1.2 | 4.3 | 18838 |
WAYNE | 1.2 | 3.8 | 1.5 | 3.5 | 38816 |
WEBSTER | 0.8 | 4.0 | 1.1 | 3.7 | 16114 |
WETZEL | 1.1 | 3.8 | 1.4 | 3.5 | 19811 |
WIRT | 1.4 | 3.5 | 1.8 | 3.2 | 4813 |
WOOD | 0.9 | 3.9 | 1.2 | 3.6 | 71550 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ADAMS | 3.8 | 2.1 | 4.3 | 2.0 | 7761 |
ASHLAND | 2.9 | 2.3 | 3.3 | 2.2 | 18575 |
BARRON | 3.0 | 2.2 | 3.4 | 2.1 | 34517 |
BAYFIELD | 2.8 | 2.3 | 3.2 | 2.1 | 12978 |
BROWN | 2.2 | 2.0 | 2.5 | 1.9 | 109694 |
BUFFALO | 4.3 | 3.0 | 5.0 | 2.9 | 14499 |
BURNETT | 3.7 | 2.2 | 4.2 | 2.1 | 9802 |
CALUMET | 3.0 | 2.0 | 3.5 | 1.9 | 20298 |
CHIPPEWA | 3.0 | 2.1 | 3.4 | 2.0 | 43798 |
CLARK | 3.4 | 2.1 | 3.9 | 2.0 | 32062 |
COLUMBIA | 4.4 | 2.0 | 5.0 | 1.9 | 35165 |
CRAWFORD | 4.3 | 3.0 | 4.9 | 2.8 | 17101 |
DANE | 2.8 | 4.0 | 3.3 | 3.8 | 191774 |
DODGE | 3.3 | 2.0 | 3.8 | 1.9 | 59975 |
DOOR | 1.9 | 1.9 | 2.2 | 1.8 | 20792 |
DOUGLAS | 3.3 | 2.3 | 3.8 | 2.1 | 45989 |
DUNN | 3.6 | 2.1 | 4.1 | 2.0 | 26839 |
EAU CLAIRE | 3.9 | 2.1 | 4.4 | 2.0 | 55937 |
FLORENCE | 2.2 | 2.1 | 2.5 | 2.0 | 3621 |
FOND DU LAC | 3.1 | 2.0 | 3.5 | 1.9 | 70916 |
FOREST | 2.2 | 2.0 | 2.5 | 1.9 | 8633 |
GRANT | 2.4 | 5.5 | 3.0 | 5.2 | 42717 |
GREEN | 2.9 | 4.0 | 3.5 | 3.8 | 24884 |
GREEN LAKE | 3.5 | 2.0 | 4.0 | 1.9 | 15033 |
IOWA | 2.9 | 4.7 | 3.5 | 4.5 | 19617 |
IRON | 2.6 | 2.3 | 3.0 | 2.1 | 8338 |
JACKSON | 4.3 | 2.1 | 4.9 | 2.0 | 15683 |
JEFFERSON | 2.0 | 4.5 | 2.3 | 4.2 | 46055 |
JUNEAU | 4.2 | 2.0 | 4.8 | 1.9 | 18317 |
KENOSHA | 3.1 | 2.3 | 3.5 | 2.1 | 86022 |
KEWAUNEE | 2.2 | 2.1 | 2.5 | 2.0 | 17754 |
LA CROSSE | 4.8 | 2.1 | 5.5 | 2.0 | 69664 |
LAFAYETTE | 2.5 | 4.5 | 3.1 | 4.3 | 18141 |
LANGLADE | 2.6 | 2.0 | 3.0 | 1.9 | 21099 |
LINCOLN | 3.3 | 2.0 | 3.8 | 1.9 | 22278 |
MANITOWOC | 2.4 | 2.0 | 2.7 | 1.9 | 70580 |
MARATHON | 3.3 | 2.0 | 3.8 | 1.9 | 83966 |
MARINETTE | 2.8 | 2.0 | 3.2 | 1.9 | 35284 |
MARQUETTE | 3.5 | 2.0 | 4.0 | 1.9 | 8700 |
MENOMINEE | 2.4 | 2.0 | 2.8 | 1.9 | 3031 |
MILWAUKEE | 2.1 | 1.9 | 2.4 | 1.8 | 941174 |
MONROE | 4.7 | 2.3 | 5.4 | 2.1 | 31322 |
OCONTO | 2.4 | 2.0 | 2.8 | 1.9 | 24478 |
ONEIDA | 2.9 | 2.1 | 3.3 | 2.0 | 21264 |
OUTAGAMIE | 2.6 | 2.0 | 3.0 | 1.9 | 90257 |
OZAUKEE | 3.0 | 1.9 | 3.4 | 1.8 | 29766 |
PEPIN | 4.4 | 2.2 | 5.0 | 2.1 | 7406 |
PIERCE | 3.7 | 2.0 | 4.3 | 1.9 | 21893 |
POLK | 3.5 | 2.0 | 4.0 | 1.9 | 24954 |
PORTAGE | 3.5 | 2.2 | 4.0 | 2.1 | 35752 |
PRICE | 2.9 | 2.3 | 3.3 | 2.2 | 15505 |
RACINE | 2.7 | 2.4 | 3.0 | 2.3 | 123273 |
RICHLAND | 4.3 | 3.0 | 4.9 | 2.8 | 18583 |
ROCK | 2.2 | 4.8 | 2.7 | 4.5 | 101761 |
RUSK | 2.9 | 2.4 | 3.3 | 2.3 | 15939 |
ST CROIX | 3.5 | 2.0 | 3.9 | 1.9 | 27286 |
SAUK | 5.0 | 2.9 | 5.8 | 2.8 | 37294 |
SAWYER | 3.3 | 2.3 | 3.8 | 2.1 | 9965 |
SHAWANO | 2.8 | 2.0 | 3.2 | 1.9 | 33119 |
SHEBOYGAN | 2.8 | 2.0 | 3.2 | 1.9 | 83122 |
TAYLOR | 3.2 | 2.4 | 3.6 | 2.3 | 18193 |
TREMPEALEAU | 3.6 | 2.1 | 4.1 | 2.0 | 23578 |
VERNON | 4.4 | 3.1 | 5.0 | 3.0 | 26954 |
VILAS | 3.1 | 2.0 | 3.5 | 1.9 | 9349 |
WALWORTH | 1.4 | 6.3 | 1.9 | 5.9 | 46167 |
WASHBURN | 2.9 | 2.4 | 3.3 | 2.3 | 11086 |
WASHINGTON | 3.0 | 2.0 | 3.5 | 1.9 | 39097 |
WAUKESHA | 3.6 | 1.9 | 4.1 | 1.8 | 116651 |
WAUPACA | 3.1 | 2.1 | 3.6 | 2.0 | 35176 |
WAUSHARA | 3.3 | 2.0 | 3.8 | 1.9 | 13737 |
WINNEBAGO | 3.1 | 2.0 | 3.5 | 1.9 | 98257 |
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 NTS tests.
County | Avg doses (rad) resulting from | Population | |||
---|---|---|---|---|---|
Milk Consumption | All Exposure | ||||
GM | GSD | GM | GSD | ||
ALBANY | 1.8 | 4.2 | 2.2 | 3.9 | 20007 |
HORN | 2.9 | 1.9 | 3.4 | 1.8 | 12636 |
CAMPBELL | 3.9 | 2.0 | 4.6 | 1.9 | 5268 |
CARBON | 3.6 | 1.7 | 4.4 | 1.6 | 15403 |
CONVERSE | 4.5 | 2.6 | 5.3 | 2.4 | 6117 |
CROOK | 4.4 | 2.1 | 5.1 | 2.0 | 4720 |
FREMONT | 4.4 | 1.9 | 5.5 | 1.8 | 22378 |
GOSHEN | 2.6 | 2.9 | 3.2 | 2.7 | 12344 |
HOT SPRINGS | 2.9 | 1.9 | 3.4 | 1.8 | 5722 |
JOHNSON | 2.7 | 2.6 | 3.3 | 2.4 | 5032 |
LARAMIE | 1.4 | 3.6 | 1.7 | 3.4 | 52970 |
LINCOLN | 2.4 | 2.1 | 3.1 | 1.9 | 9022 |
NATRONA | 4.3 | 2.3 | 5.0 | 2.2 | 39168 |
NIOBRARA | 5.2 | 3.3 | 6.1 | 3.1 | 4293 |
PARK | 2.9 | 2.4 | 3.4 | 2.3 | 13084 |
PLATTE | 2.6 | 2.8 | 3.2 | 2.6 | 7619 |
SHERIDAN | 3.6 | 1.9 | 4.2 | 1.8 | 19676 |
SUBLETTE | 3.0 | 2.0 | 3.8 | 1.9 | 3033 |
SWEETWATER | 3.7 | 1.9 | 4.6 | 1.7 | 20278 |
TETON | 2.2 | 3.1 | 2.7 | 2.9 | 2775 |
UINTA | 2.6 | 1.8 | 3.3 | 1.7 | 7392 |
WASHAKIE | 2.7 | 2.1 | 3.1 | 2.0 | 7947 |
WESTON | 2.7 | 2.5 | 3.2 | 2.3 | 7446 |