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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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