40 CFR 81.328 - Nebraska.

Code of Federal Regulations, 2012 CFR

2012-07-01

... County Frontier County Furnas County Gage County Garden County Garfield County Gosper County Grant County... Gage County Garden County Garfield County Gosper County Grant County Greeley County Hall County.../Attainment. Gage County Unclassifiable/Attainment. Garden County Unclassifiable/Attainment. Garfield County...

40 CFR 81.311 - Georgia.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Lamar County X Lanier County X Laurens County X Lee County X Liberty County X Lincoln County X Long... Lamar County X Lanier County X Laurens County X Lee County X Liberty County X Lincoln County X Long... County Jenkins County Johnson County Jones County Lamar County Lanier County Laurens County Lee County...

40 CFR 81.311 - Georgia.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Lamar County X Lanier County X Laurens County X Lee County X Liberty County X Lincoln County X Long... Lamar County X Lanier County X Laurens County X Lee County X Liberty County X Lincoln County X Long... County Jenkins County Johnson County Jones County Lamar County Lanier County Laurens County Lee County...

40 CFR 81.311 - Georgia.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Jasper County X Jeff Davis County X Jefferson County X Jenkins County X Johnson County X Jones County X... Jasper County X Jeff Davis County X Jefferson County X Jenkins County X Johnson County X Jones County X... County Jenkins County Johnson County Jones County Lamar County Lanier County Laurens County Lee County...

40 CFR 81.311 - Georgia.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Jasper County X Jeff Davis County X Jefferson County X Jenkins County X Johnson County X Jones County X... Jasper County X Jeff Davis County X Jefferson County X Jenkins County X Johnson County X Jones County X... County Jenkins County Johnson County Jones County Lamar County Lanier County Laurens County Lee County...

40 CFR 81.323 - Michigan.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Unclassifiable/Attainment Alcona County Alger County Alpena County Antrim County Baraga County Benzie County.../Attainment Alcona County Alger County Alpena County Antrim County Baraga County Benzie County Charlevoix.../Attainment Alcona County Alger County Alpena County Antrim County Baraga County Charlevoix County Cheboygan...

40 CFR 81.325 - Mississippi.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Benton County X Bolivar County X Calhoun County X Carroll County X Chickasaw County X Choctaw County X... Benton County X Bolivar County X Calhoun County X Carroll County X Chickasaw County X Choctaw County X... Calhoun County Carroll County Chickasaw County Choctaw County Claiborne County Clarke County Clay County...

40 CFR 81.325 - Mississippi.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Benton County X Bolivar County X Calhoun County X Carroll County X Chickasaw County X Choctaw County X... Benton County X Bolivar County X Calhoun County X Carroll County X Chickasaw County X Choctaw County X... Calhoun County Carroll County Chickasaw County Choctaw County Claiborne County Clarke County Clay County...

40 CFR 81.325 - Mississippi.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Lee County X Leflore County X Lincoln County X Lowndes County X Madison County X Marion County X... Lee County X Leflore County X Lincoln County X Lowndes County X Madison County X Marion County X... County Kemper County Lafayette County Lamar County Lauderdale County Lawrence County Leake County Lee...

40 CFR 81.325 - Mississippi.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Lee County X Leflore County X Lincoln County X Lowndes County X Madison County X Marion County X... Lee County X Leflore County X Lincoln County X Lowndes County X Madison County X Marion County X... County Kemper County Lafayette County Lamar County Lauderdale County Lawrence County Leake County Lee...

40 CFR 81.301 - Alabama.

Code of Federal Regulations, 2013 CFR

2013-07-01

... County Blount County Bullock County Butler County Calhoun County Chambers County Cherokee County Chilton... County Barbour County Bibb County Blount County Bullock County Butler County Calhoun County Chambers.... Butler County Unclassifiable/Attainment. Calhoun County Unclassifiable/Attainment. Chambers County...

40 CFR 81.301 - Alabama.

Code of Federal Regulations, 2012 CFR

2012-07-01

... County Blount County Bullock County Butler County Calhoun County Chambers County Cherokee County Chilton... County Barbour County Bibb County Blount County Bullock County Butler County Calhoun County Chambers.... Butler County Unclassifiable/Attainment. Calhoun County Unclassifiable/Attainment. Chambers County...

40 CFR 81.325 - Mississippi.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Benton County X Bolivar County X Calhoun County X Carroll County X Chickasaw County X Choctaw County X... Alcorn County X Amite County X Attala County X Benton County X Bolivar County X Calhoun County X Carroll... County Attala County Benton County Bolivar County Calhoun County Carroll County Chickasaw County Choctaw...

40 CFR 81.341 - South Carolina.

Code of Federal Regulations, 2011 CFR

2011-07-01

... County X Laurens County X Lee County X Lexington County X McCormick County X Marion County X Marlboro... X Jasper County X Kershaw County X Lancaster County X Laurens County X Lee County X Lexington County... County Kershaw County Lancaster County Laurens County Lee County Lexington County Marion County Marlboro...

40 CFR 81.341 - South Carolina.

Code of Federal Regulations, 2010 CFR

2010-07-01

... County X Laurens County X Lee County X Lexington County X McCormick County X Marion County X Marlboro... X Jasper County X Kershaw County X Lancaster County X Laurens County X Lee County X Lexington County... County Kershaw County Lancaster County Laurens County Lee County Lexington County Marion County Marlboro...

40 CFR 81.311 - Georgia.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Jasper County X Jeff Davis County X Jefferson County X Jenkins County X Johnson County X Jones County X... Jenkins County X Johnson County X Jones County X Lamar County X Lanier County X Laurens County X Lee... County Jasper County Jeff Davis County Jefferson County Jenkins County Johnson County Jones County Lamar...

40 CFR 81.328 - Nebraska.

Code of Federal Regulations, 2014 CFR

2014-07-01

... County Dundy County Fillmore County Franklin County Frontier County Furnas County Gage County Garden... Fillmore County Franklin County Frontier County Furnas County Gage County Garden County Garfield County.../Attainment. Garden County Unclassifiable/Attainment. Garfield County Unclassifiable/Attainment. Gosper County...

40 CFR 81.341 - South Carolina.

Code of Federal Regulations, 2012 CFR

2012-07-01

... County X Anderson County X Bamberg County X Barnwell County X Beaufort County X Berkeley County X Calhoun... County X Bamberg County X Barnwell County X Beaufort County X Berkeley County X Calhoun County X... Calhoun County Charleston County Cherokee County Chester County Chesterfield County Clarendon County...

40 CFR 81.341 - South Carolina.

Code of Federal Regulations, 2013 CFR

2013-07-01

... County X Anderson County X Bamberg County X Barnwell County X Beaufort County X Berkeley County X Calhoun... County X Bamberg County X Barnwell County X Beaufort County X Berkeley County X Calhoun County X... Calhoun County Charleston County Cherokee County Chester County Chesterfield County Clarendon County...

40 CFR 81.341 - South Carolina.

Code of Federal Regulations, 2014 CFR

2014-07-01

... County X Anderson County X Bamberg County X Barnwell County X Beaufort County X Berkeley County X Calhoun... County X Berkeley County X Calhoun County X Charleston County X Cherokee County X Chester County X... Beaufort County Berkeley County Calhoun County Charleston County Cherokee County Chester County...

40 CFR 81.342 - South Dakota.

Code of Federal Regulations, 2011 CFR

2011-07-01

... County Butte County Campbell County Charles Mix County Clark County Clay County Codington County Corson... County Brule County Buffalo County Butte County Campbell County Charles Mix County Clark County Clay... Charles Mix County Unclassifiable/Attainment Clark County Unclassifiable/Attainment Clay County...

40 CFR 81.342 - South Dakota.

Code of Federal Regulations, 2010 CFR

2010-07-01

... County Butte County Campbell County Charles Mix County Clark County Clay County Codington County Corson... County Brule County Buffalo County Butte County Campbell County Charles Mix County Clark County Clay... Charles Mix County Unclassifiable/Attainment Clark County Unclassifiable/Attainment Clay County...

40 CFR 81.334 - North Carolina.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Lee County X Lenoir County X Lincoln County X McDowell County X Macon County X Madison County X Martin... Lee County X Lenoir County X Lincoln County X McDowell County X Macon County X Madison County X Martin... County Lenoir County Lincoln County Macon County Madison County Martin County McDowell County Mecklenburg...

40 CFR 81.334 - North Carolina.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Lee County X Lenoir County X Lincoln County X McDowell County X Macon County X Madison County X Martin... Lee County X Lenoir County X Lincoln County X McDowell County X Macon County X Madison County X Martin... Hertford County Hoke County Hyde County Iredell County Jackson County Johnston County Jones County Lee...

40 CFR 81.334 - North Carolina.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Lee County X Lenoir County X Lincoln County X McDowell County X Macon County X Madison County X Martin... Lee County X Lenoir County X Lincoln County X McDowell County X Macon County X Madison County X Martin... Hertford County Hoke County Hyde County Iredell County Jackson County Johnston County Jones County Lee...

40 CFR 81.301 - Alabama.

Code of Federal Regulations, 2014 CFR

2014-07-01

... County Barbour County Bibb County Blount County Bullock County Butler County Calhoun County Chambers... County Calhoun County Chambers County Cherokee County Chilton County Choctaw County Clarke County Clay... Unclassifiable/Attainment. Butler County Unclassifiable/Attainment. Calhoun County Unclassifiable/Attainment...

40 CFR 81.316 - Iowa.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Remainder of Lee County X Cedar Rapids—a portion of Linn County contained entirely within T 82 N., R 7 W... County Johnson County Jones County Keokuk County Kossuth County Lee County Linn County Louisa County... County Johnson County Jones County Keokuk County Kossuth County Lee County Linn County Louisa County...

40 CFR 81.316 - Iowa.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Remainder of Lee County X Cedar Rapids—a portion of Linn County contained entirely within T 82 N., R 7 W... County Johnson County Jones County Keokuk County Kossuth County Lee County Linn County Louisa County... County Johnson County Jones County Keokuk County Kossuth County Lee County Linn County Louisa County...

40 CFR 81.316 - Iowa.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Buchanan County Buena Vista County Butler County Calhoun County Carroll County Cass County Cedar County... Buchanan County Buena Vista County Butler County Calhoun County Carroll County Cass County Cedar County... Unclassifiable/Attainment. Calhoun County Unclassifiable/Attainment. Carroll County Unclassifiable/Attainment...

40 CFR 81.316 - Iowa.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Buchanan County Buena Vista County Butler County Calhoun County Carroll County Cass County Cedar County... Buchanan County Buena Vista County Butler County Calhoun County Carroll County Cass County Cedar County... Unclassifiable/Attainment. Calhoun County Unclassifiable/Attainment. Carroll County Unclassifiable/Attainment...

40 CFR 81.316 - Iowa.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Boone County Bremer County Buchanan County Buena Vista County Butler County Calhoun County Carroll... County Bremer County Buchanan County Buena Vista County Butler County Calhoun County Carroll County Cass.../Attainment. Butler County Unclassifiable/Attainment. Calhoun County Unclassifiable/Attainment. Carroll County...

University of Wisconsin - Extension

MedlinePlus

... Fond du Lac County Forest County Grant County Green County Green Lake County Iowa County Iron County Jackson County ... Fond du Lac County Forest County Grant County Green County Green Lake County Iowa County Iron County ...

40 CFR 81.343 - Tennessee.

Code of Federal Regulations, 2011 CFR

2011-07-01

... X Coffee County X Crockett County X Cumberland County X Those portions of Davidson County within a... Clay County X Cocke County X Coffee County X Crockett County X Cumberland County X Davidson County X... County Claiborne County Clay County Cocke County Coffee County Crockett County Cumberland County Davidson...

40 CFR 81.343 - Tennessee.

Code of Federal Regulations, 2010 CFR

2010-07-01

... X Coffee County X Crockett County X Cumberland County X Those portions of Davidson County within a... Clay County X Cocke County X Coffee County X Crockett County X Cumberland County X Davidson County X... County Claiborne County Clay County Cocke County Coffee County Crockett County Cumberland County Davidson...

40 CFR 81.349 - West Virginia.

Code of Federal Regulations, 2011 CFR

2011-07-01

... County Brooke County 2 Cabell County Calhoun County Clay County Doddridge County Fayette County Gilmer... Boone County Braxton County Brooke County Calhoun County Clay County Doddridge County Fayette County...) Attainment. Jefferson County (2) Attainment. Charleston, WV: Kanawha County August 10, 2006 Attainment Putnam...

40 CFR 81.349 - West Virginia.

Code of Federal Regulations, 2014 CFR

2014-07-01

... County Boone County Braxton County Brooke County 2 Cabell County Calhoun County Clay County Doddridge... Berkeley County Boone County Braxton County Brooke County Calhoun County Clay County Doddridge County..., 2006 Attainment Putnam County August 10, 2006 Attainment Huntington-Ashland, WV-KY Cabell County...

40 CFR 81.349 - West Virginia.

Code of Federal Regulations, 2012 CFR

2012-07-01

... County Brooke County 2 Cabell County Calhoun County Clay County Doddridge County Fayette County Gilmer... Boone County Braxton County Brooke County Calhoun County Clay County Doddridge County Fayette County...) Attainment. Jefferson County (2) Attainment. Charleston, WV: Kanawha County August 10, 2006 Attainment Putnam...

40 CFR 81.349 - West Virginia.

Code of Federal Regulations, 2013 CFR

2013-07-01

... County Brooke County 2 Cabell County Calhoun County Clay County Doddridge County Fayette County Gilmer... Boone County Braxton County Brooke County Calhoun County Clay County Doddridge County Fayette County..., 2006 Attainment Putnam County August 10, 2006 Attainment Huntington-Ashland, WV-KY Cabell County...

40 CFR 81.349 - West Virginia.

Code of Federal Regulations, 2010 CFR

2010-07-01

... County Brooke County 2 Cabell County Calhoun County Clay County Doddridge County Fayette County Gilmer... Boone County Braxton County Brooke County Calhoun County Clay County Doddridge County Fayette County...) Attainment. Jefferson County (2) Attainment. Charleston, WV: Kanawha County August 10, 2006 Attainment Putnam...

40 CFR 81.317 - Kansas.

Code of Federal Regulations, 2011 CFR

2011-07-01

... County X Cherokee County X Cheyenne County X Clark County X Clay County X Cloud County X Coffey County X... Chautauqua County X Cherokee County X Cheyenne County X Clark County X Clay County X Cloud County X Coffey.../Attainment Cherokee County Unclassifiable/Attainment Cheyenne County Unclassifiable/Attainment Clark County...

40 CFR 81.317 - Kansas.

Code of Federal Regulations, 2010 CFR

2010-07-01

... County X Cherokee County X Cheyenne County X Clark County X Clay County X Cloud County X Coffey County X... Chautauqua County X Cherokee County X Cheyenne County X Clark County X Clay County X Cloud County X Coffey.../Attainment Cherokee County Unclassifiable/Attainment Cheyenne County Unclassifiable/Attainment Clark County...

40 CFR 81.317 - Kansas.

Code of Federal Regulations, 2014 CFR

2014-07-01

... County X Cherokee County X Cheyenne County X Clark County X Clay County X Cloud County X Coffey County X... Clark County X Clay County X Cloud County X Coffey County X Comanche County X Cowley County X Crawford.../Attainment Cloud County Unclassifiable/Attainment Coffey County Unclassifiable/Attainment Comanche County...

40 CFR 81.351 - Wyoming.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Platte County Sheridan County Sublette County Sweetwater County Teton County Uinta County Washakie County... Park County Platte County Sheridan County Sublette County Sweetwater County Teton County Uinta County... PSD Baseline Area—Powder River Basin. Campbell County (part), That areabounded by NW1/4 of Section 27...

40 CFR 81.351 - Wyoming.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Platte County Sheridan County Sublette County Sweetwater County Teton County Uinta County Washakie County... Park County Platte County Sheridan County Sublette County Sweetwater County Teton County Uinta County... PSD Baseline Area—Powder River Basin. Campbell County (part), That areabounded by NW1/4 of Section 27...

40 CFR 81.351 - Wyoming.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Platte County Sheridan County Sublette County Sweetwater County Teton County Uinta County Washakie County... Park County Platte County Sheridan County Sublette County Sweetwater County Teton County Uinta County... PSD Baseline Area—Powder River Basin. Campbell County (part), That areabounded by NW1/4 of Section 27...

40 CFR 81.351 - Wyoming.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Platte County Sheridan County Sublette County Sweetwater County Teton County Uinta County Washakie County... Park County Platte County Sheridan County Sublette County Sweetwater County Teton County Uinta County... PSD Baseline Area—Powder River Basin. Campbell County (part), That areabounded by NW1/4 of Section 27...

40 CFR 81.318 - Kentucky.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Lee County X Leslie County X Letcher County X Lewis County X Lincoln County X Livingston County X... Lawrence County X Lee County X Leslie County X Letcher County X Lewis County X Lincoln County X Livingston... County Unclassifiable/Attainment Lawrence County Unclassifiable/Attainment Lee County Unclassifiable...

40 CFR 81.318 - Kentucky.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Lee County X Leslie County X Letcher County X Lewis County X Lincoln County X Livingston County X... Lawrence County X Lee County X Leslie County X Letcher County X Lewis County X Lincoln County X Livingston... County Unclassifiable/Attainment Lawrence County Unclassifiable/Attainment Lee County Unclassifiable...

7 CFR 301.81-3 - Quarantined areas.

Code of Federal Regulations, 2010 CFR

2010-01-01

... entire county. Lee County. The entire county. Lenoir County. The entire county. Lincoln County. That... County. The entire county. Lee County. The entire county. Leon County. The entire county. Liberty County...

7 CFR 301.81-3 - Quarantined areas.

Code of Federal Regulations, 2011 CFR

2011-01-01

... entire county. Lee County. The entire county. Lenoir County. The entire county. Lincoln County. That... County. The entire county. Lee County. The entire county. Leon County. The entire county. Liberty County...

40 CFR 81.317 - Kansas.

Code of Federal Regulations, 2013 CFR

2013-07-01

... County X Cherokee County X Cheyenne County X Clark County X Clay County X Cloud County X Coffey County X... Chautauqua County X Cherokee County X Cheyenne County X Clark County X Clay County X Cloud County X Coffey... Unclassifiable/Attainment Clay County Unclassifiable/Attainment Cloud County Unclassifiable/Attainment Coffey...

40 CFR 81.317 - Kansas.

Code of Federal Regulations, 2012 CFR

2012-07-01

... County X Cherokee County X Cheyenne County X Clark County X Clay County X Cloud County X Coffey County X... Chautauqua County X Cherokee County X Cheyenne County X Clark County X Clay County X Cloud County X Coffey... Unclassifiable/Attainment Clay County Unclassifiable/Attainment Cloud County Unclassifiable/Attainment Coffey...

40 CFR 81.338 - Oregon.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Remainder of Southwest Oregon Unclassifiable/Attainment Coos County Curry County Douglas County Jackson.../Attainment Coos County Curry County Douglas County Jackson County (part) Remainder of county Josephine County... of) Unclassifiable/Attainment Coos County Curry County Douglas County Jackson County (part) remainder...

40 CFR 81.244 - Northwest Minnesota Intrastate Air Quality Control Region.

Code of Federal Regulations, 2010 CFR

2010-07-01

..., Beltrami County, Cass County, Clearwater County, Crow Wing County, Douglas County, Grant County, Hubbard..., Norman County, Otter Tail County, Pennington County, Polk County, Pope County, Red Lake County, Roseau...

40 CFR 81.323 - Michigan.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Barry County Branch County Calhoun County Clinton County Eaton County Hillsdale County Ingham County... County Unclassifiable/Attainment Battle Creek Area: Calhoun County Unclassifiable/Attainment Benton.... Branch County Unclassifiable/Attainment. Calhoun County Unclassifiable/Attainment. Cass County...

40 CFR 81.323 - Michigan.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Calhoun County Clinton County Eaton County Hillsdale County Ingham County Jackson County Kalamazoo County...: Calhoun County Unclassifiable/Attainment Benton Harbor Area: Berrien County Unclassifiable/Attainment... County Unclassifiable/Attainment. Branch County Unclassifiable/Attainment. Calhoun County Unclassifiable...

40 CFR 81.323 - Michigan.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Calhoun County Clinton County Eaton County Hillsdale County Ingham County Jackson County Kalamazoo County...: Calhoun County Unclassifiable/Attainment Benton Harbor Area: Berrien County Unclassifiable/Attainment... County Unclassifiable/Attainment. Branch County Unclassifiable/Attainment. Calhoun County Unclassifiable...

Environmental Assessment Addressing the 301st Fighter Wing Managed Airspace, Naval Air Station Joint Reserve Base, Fort Worth, Texas

DTIC Science & Technology

2009-05-01

Salle County McMullen County Terrell County Blanco County Comal County Texas Oklahoma Dallas- Ft. Worth San Antonio Austin Tulsa Oklahoma City Abilene...County Young County Crockett County Glasscock County Irion County Midland County Brown County Reagan County Sterling County Terrell County Upton...7909 Karl May Drive Waco, TX 76708 Margaret Wood Brown County Clerk 200 South Broadway Brownwood, TX 76801 Jo Ann Hale Coleman County

Real Estate: Acquisition of Real Property and Interests Therein

DTIC Science & Technology

1970-05-14

Burleigh County Boise, Idaho .: Ada County Boston, Mass.: Essex County Middlesex County Norfolk County Plymouth County Suffolk County Bridgeport, Conn...Huntsville, Ala.: Limestone County Madison County Huron, S. Dak.: Beadle County Idaho Falls, Idaho : Bonneville County Indianapolis, Ind.: Hamilton...Lawrence–Haverhill, Mass.–N.H.: Essex County, Mass. Rockingham County, N.H. Lawton, Okla.: Comanche County Lewiston –Auburn, Maine: Androscoggin County

40 CFR 81.314 - Illinois.

Code of Federal Regulations, 2010 CFR

2010-07-01

... County X Woodford County X Lee County X AQCR 66: Champaign County X Clark County X Coles County X... Washington County X AQCR 71: Bureau County: Shelby Twp X All other Bureau twps X La Salle County X Lee County.../Attainment La Salle County Unclassifiable/Attainment Lawrence County Unclassifiable/Attainment Lee County...

40 CFR 81.314 - Illinois.

Code of Federal Regulations, 2011 CFR

2011-07-01

... County X Woodford County X Lee County X AQCR 66: Champaign County X Clark County X Coles County X... Washington County X AQCR 71: Bureau County: Shelby Twp X All other Bureau twps X La Salle County X Lee County.../Attainment La Salle County Unclassifiable/Attainment Lawrence County Unclassifiable/Attainment Lee County...

40 CFR 81.323 - Michigan.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Calhoun County Clinton County Eaton County Hillsdale County Ingham County Jackson County Kalamazoo County...: Calhoun County Unclassifiable/Attainment Benton Harbor Area: Berrien County Unclassifiable/Attainment.../Attainment Jackson Area: Jackson County Unclassifiable/Attainment Kalamazoo-Battle Creek, MI: Calhoun County...

40 CFR 81.339 - Pennsylvania.

Code of Federal Regulations, 2010 CFR

2010-07-01

... County Fayette County Forest County Franklin County Fulton County Greene County Huntingdon County Indiana... Elk County Unclassifiable/Attainment Forest County Unclassifiable/Attainment Jefferson County... Philadelphia-Wilmington-Atlantic City, PA-NJ-MD-DE: Bucks County Nonattainment Subpart 2/Moderate. Chester...

40 CFR 81.318 - Kentucky.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Madison Co. in Richmond X Rest of Madison Co X Magoffin County X Marion County X Marshall County X Martin... X Magoffin County X Marion County X Marshall County X Martin County X Mason County X Meade County X... Marshall County Unclassifiable/Attainment Martin County Unclassifiable/Attainment Mason County...

40 CFR 81.314 - Illinois.

Code of Federal Regulations, 2014 CFR

2014-07-01

...: Carroll County X Henry County X Mercer County X Rock Island County X Whiteside County X AQCR 70: Madison... X AQCR 72: Massac County X Alexander County X Johnson County X Pope County X Pulaski County X Union... Unclassifiable/Attainment Johnson County Unclassifiable/Attainment Kane County Unclassifiable/Attainment Kankakee...

40 CFR 81.314 - Illinois.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Rock Island County X Whiteside County X AQCR 70: Madison County: Wood River Twp X Alton Twp X All other... Johnson County X Pope County X Pulaski County X Union County X AQCR 73 Boone County X De Kalb County X... Jersey County Unclassifiable/Attainment Jo Daviess County Unclassifiable/Attainment Johnson County...

40 CFR 81.314 - Illinois.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Rock Island County X Whiteside County X AQCR 70: Madison County: Wood River Twp X Alton Twp X All other... Johnson County X Pope County X Pulaski County X Union County X AQCR 73 Boone County X De Kalb County X... Jersey County Unclassifiable/Attainment Jo Daviess County Unclassifiable/Attainment Johnson County...

40 CFR 81.68 - Mobile (Alabama)-Pensacola-Panama City (Florida)-Southern Mississippi Interstate Air Quality...

Code of Federal Regulations, 2013 CFR

2013-07-01

... outermost boundaries of the area so delimited): In the State of Alabama: Baldwin County, Escambia County, Mobile County. In the State of Florida: Bay County, Calhoun County, Escambia County, Gulf County, Holmes... State of Mississippi: Adams County, Amite County, Clairborne County, Clarke County, Copiah County...

40 CFR 81.68 - Mobile (Alabama)-Pensacola-Panama City (Florida)-Southern Mississippi Interstate Air Quality...

Code of Federal Regulations, 2012 CFR

2012-07-01

... outermost boundaries of the area so delimited): In the State of Alabama: Baldwin County, Escambia County, Mobile County. In the State of Florida: Bay County, Calhoun County, Escambia County, Gulf County, Holmes... State of Mississippi: Adams County, Amite County, Clairborne County, Clarke County, Copiah County...

40 CFR 81.351 - Wyoming.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Teton County Uinta County Washakie County Weston County 1 This date is November 15, 1990, unless... Sublette County Sweetwater County Teton County Uinta County Washakie County Weston County 1 This date is... Hampshire Energy Area, and the Kennecott/Puron PSD Baseline Area—Powder River Basin. Campbell County (part...

40 CFR 81.336 - Ohio.

Code of Federal Regulations, 2011 CFR

2011-07-01

... County Unclassifiable/Attainment Champaign County Unclassifiable/Attainment Clark County Unclassifiable... Attainment Dayton-Springfield Area: Clark County Attainment Greene County Attainment Miami County Attainment...-Springfield, OH: Clark County August 13, 2007 Attainment. Greene County. Miami County. Montgomery County. Lima...

40 CFR 81.350 - Wisconsin.

Code of Federal Regulations, 2011 CFR

2011-07-01

... County X Buffalo County X Chippewa County X Clark County X Crawford County X Dunn County X Eau Claire... Unclassifiable/Attainment Chippewa County Unclassifiable/Attainment Clark County Unclassifiable/Attainment... Unclassifiable/Attainment Chippewa County Unclassifiable/Attainment Clark County Unclassifiable/Attainment...

40 CFR 81.350 - Wisconsin.

Code of Federal Regulations, 2010 CFR

2010-07-01

... County X Buffalo County X Chippewa County X Clark County X Crawford County X Dunn County X Eau Claire... Unclassifiable/Attainment Chippewa County Unclassifiable/Attainment Clark County Unclassifiable/Attainment... Unclassifiable/Attainment Chippewa County Unclassifiable/Attainment Clark County Unclassifiable/Attainment...

75 FR 62571 - Labor Surplus Area Classification Under Executive Orders 12073 and 10582

Federal Register 2010, 2011, 2012, 2013, 2014

2010-10-12

... City, MA Michigan Alcona County, MI Alcona County, MI Alger County, MI Alger County, MI Alpena County, MI Alpena County, MI Antrim County, MI Antrim County, MI Arenac County, MI Arenac County, MI Balance...

40 CFR 81.350 - Wisconsin.

Code of Federal Regulations, 2014 CFR

2014-07-01

... County X Pepin County X Pierce County X Polk County X St. Croix County X Trempealeau County X Vernon... Unclassifiable/Attainment Ozaukee County Unclassifiable/Attainment Pepin County Unclassifiable/Attainment Pierce... Unclassifiable/Attainment Pepin County Unclassifiable/Attainment Pierce County Unclassifiable/Attainment Polk...

40 CFR 81.327 - Montana.

Code of Federal Regulations, 2013 CFR

2013-07-01

... County Unclassifiable/Attainment Granite County Unclassifiable/Attainment Hill County (part) excluding... Golden Valley County Unclassifiable/Attainment Granite County Unclassifiable/Attainment Hill County (part.... Golden Valley County Unclassifiable/Attainment. Granite County Unclassifiable/Attainment. Hill County...

40 CFR 81.327 - Montana.

Code of Federal Regulations, 2012 CFR

2012-07-01

... County Unclassifiable/Attainment Granite County Unclassifiable/Attainment Hill County (part) excluding... Golden Valley County Unclassifiable/Attainment Granite County Unclassifiable/Attainment Hill County (part.... Golden Valley County Unclassifiable/Attainment. Granite County Unclassifiable/Attainment. Hill County...

40 CFR 81.344 - Texas.

Code of Federal Regulations, 2012 CFR

2012-07-01

...-Texarkana-Tyler Interstate Unclassifiable/Attainment Anderson County Bowie County Camp County Cass County...: Victoria County Attainment AQCR 022 Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment...-Texarkana-Tyler Interstate Unclassifiable/Attainment Anderson County Bowie County Camp County Cass County...

75 FR 13576 - Labor Surplus Area Classification Under Executive Orders 12073 and 10582

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-22

.... Crawford County, MI Crawford County, MI. Delta County, MI Delta County, MI. Detroit city, MI Wayne County..., MN Chisago County, MN. Clearwater County, MN Clearwater County, MN. Crow Wing County, MN Crow Wing...

DRAFT LANDSAT DATA MOSAIC: MONTGOMERY COUNTY, TEXAS; HARRIS COUNTY, TEXAS; FORT BEND COUNTY, TEXAS; BRAZORIA COUNTY, TEXAS; GALVESTON COUNTY, TEXAS

EPA Science Inventory

This is a draft Landsat Data Mosaic, which contains remote sensing information for Montgomery County, Texas Harris County, Texas Fort Bend County, Texas Brazoria County, Texas Galveston County, and Texas Imagery dates on the following dates: October 6, 1999 and September 29, 200...

40 CFR 81.338 - Oregon.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Urban Growth Boundary Medford Area Jackson County (part) 9/23/02 Attainment Medford Urban Growth... Intrastate Unclassifiable/Attainment Crook County Deschutes County Hood River County Jefferson County Klamath County (part) area outside Urban Growth Boundary Lake County Sherman County Wasco County AQCR 191 Eastern...

40 CFR 81.315 - Indiana.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Madison County Unclassifiable/Attainment Marshall County Unclassifiable/Attainment Martin County... Unclassifiable/Attainment Martin County Unclassifiable/Attainment Miami County Unclassifiable/Attainment Monroe... Marshall County Unclassifiable/Attainment Martin County Unclassifiable/Attainment Miami County...

40 CFR 81.327 - Montana.

Code of Federal Regulations, 2010 CFR

2010-07-01

... County Unclassifiable/Attainment Granite County Unclassifiable/Attainment Hill County (part) excluding... Golden Valley County Unclassifiable/Attainment Granite County Unclassifiable/Attainment Hill County (part... Unclassifiable/Attainment Granite County. Unclassifiable/Attainment Hill County Unclassifiable/Attainment...

40 CFR 81.327 - Montana.

Code of Federal Regulations, 2011 CFR

2011-07-01

... County Unclassifiable/Attainment Granite County Unclassifiable/Attainment Hill County (part) excluding... Golden Valley County Unclassifiable/Attainment Granite County Unclassifiable/Attainment Hill County (part... Unclassifiable/Attainment Granite County. Unclassifiable/Attainment Hill County Unclassifiable/Attainment...

7 CFR 301.81-3 - Quarantined areas.

Code of Federal Regulations, 2013 CFR

2013-01-01

..., excluding the portion of the barrier islands south of Oregon Inlet. Duplin County. The entire county. Durham... County. The entire county. Jim Wells County. The entire county. Johnson County. The entire county. Jones...

7 CFR 301.81-3 - Quarantined areas.

Code of Federal Regulations, 2014 CFR

2014-01-01

..., excluding the portion of the barrier islands south of Oregon Inlet. Duplin County. The entire county. Durham... County. The entire county. Jim Wells County. The entire county. Johnson County. The entire county. Jones...

7 CFR 301.81-3 - Quarantined areas.

Code of Federal Regulations, 2012 CFR

2012-01-01

..., excluding the portion of the barrier islands south of Oregon Inlet. Duplin County. The entire county. Durham... County. The entire county. Jim Wells County. The entire county. Johnson County. The entire county. Jones...

40 CFR 81.344 - Texas.

Code of Federal Regulations, 2013 CFR

2013-07-01

...-Texarkana-Tyler Interstate Unclassifiable/Attainment Anderson County Bowie County Camp County Cass County...: Victoria County Attainment AQCR 022 Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment... 022Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment Anderson County Bowie County Camp County Cass...

40 CFR 81.344 - Texas.

Code of Federal Regulations, 2010 CFR

2010-07-01

...-Texarkana-Tyler Interstate Unclassifiable/Attainment Anderson County Bowie County Camp County Cass County...: Victoria County Attainment AQCR 022 Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment... 022Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment Anderson County Bowie County Camp County Cass...

40 CFR 81.344 - Texas.

Code of Federal Regulations, 2011 CFR

2011-07-01

...-Texarkana-Tyler Interstate Unclassifiable/Attainment Anderson County Bowie County Camp County Cass County... Victoria Area: Victoria County Attainment AQCR 022 Shreveport-Texarkana-Tyler Interstate Unclassifiable... 022Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment Anderson County Bowie County Camp County Cass...

40 CFR 81.337 - Oklahoma.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment McCurtain County AQCR 184 Central Oklahoma.../Attainment Adair County Cherokee County Le Flore County Sequoyah County AQCR 022 Shreveport-Texarkana-Tyler... Le Flore County Sequoyah County AQCR 022Shreveport-Texarkana-Tyler Intrastate: McCurtain County...

40 CFR 81.337 - Oklahoma.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment McCurtain County AQCR 184 Central Oklahoma.../Attainment Adair County Cherokee County Le Flore County Sequoyah County AQCR 022 Shreveport-Texarkana-Tyler... Cherokee County Le Flore County Sequoyah County AQCR 022Shreveport-Texarkana-Tyler Intrastate: McCurtain...

40 CFR 81.315 - Indiana.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Unclassifiable/Attainment Cass County Unclassifiable/Attainment Clark County Unclassifiable/Attainment Clay...: Vanderburgh County Attainment Indianapolis Area: Marion County Attainment Louisville Area: Clark County 10/23... LaPorte CO., IN: LaPorte County 7/19/07 Attainment. Louisville, KY-IN: Clark County. Floyd County July 19...

40 CFR 81.315 - Indiana.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Unclassifiable/Attainment Cass County Unclassifiable/Attainment Clark County Unclassifiable/Attainment Clay...: Vanderburgh County Attainment Indianapolis Area: Marion County Attainment Louisville Area: Clark County 10/23... LaPorte CO., IN: LaPorte County 7/19/07 Attainment. Louisville, KY-IN: Clark County. Floyd County July 19...

40 CFR 81.343 - Tennessee.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Johnson County X That portion of Knox County within a section of downtown Knoxville X Rest of Knox County.... Knoxville, TN: Anderson County This action is effective 3/8/2011 Attainment Blount County This action is.... Knoxville, TN: Anderson County Nonattainment. Blount County Nonattainment. Knox County Nonattainment. Loudon...

7 CFR 301.50-3 - Quarantined areas.

Code of Federal Regulations, 2014 CFR

2014-01-01

.... Jennings County. The entire county. Johnson County. The entire county. Kosciusko County. The entire county.... Pennsylvania The entire State. Rhode Island The entire State Vermont The entire State. Virginia Clarke County...

7 CFR 301.50-3 - Quarantined areas.

Code of Federal Regulations, 2011 CFR

2011-01-01

.... Jennings County. The entire county. Johnson County. The entire county. Kosciusko County. The entire county.... Pennsylvania The entire State. Rhode Island The entire State Vermont The entire State. Virginia Clarke County...

7 CFR 301.50-3 - Quarantined areas.

Code of Federal Regulations, 2012 CFR

2012-01-01

.... Jennings County. The entire county. Johnson County. The entire county. Kosciusko County. The entire county.... Pennsylvania The entire State. Rhode Island The entire State Vermont The entire State. Virginia Clarke County...

7 CFR 301.50-3 - Quarantined areas.

Code of Federal Regulations, 2010 CFR

2010-01-01

.... Jennings County. The entire county. Johnson County. The entire county. Kosciusko County. The entire county.... Pennsylvania The entire State. Rhode Island The entire State Vermont The entire State. Virginia Clarke County...

7 CFR 301.50-3 - Quarantined areas.

Code of Federal Regulations, 2013 CFR

2013-01-01

.... Jennings County. The entire county. Johnson County. The entire county. Kosciusko County. The entire county.... Pennsylvania The entire State. Rhode Island The entire State Vermont The entire State. Virginia Clarke County...

40 CFR 81.327 - Montana.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Unclassifiable/Attainment Granite County Unclassifiable/Attainment Hill County (part)excluding Rocky Boy Indian.../Attainment Granite County Unclassifiable/Attainment Hill County (part) excluding Rocky Boy Indian Reservation.../Attainment. Granite County Unclassifiable/Attainment. Hill County Unclassifiable/Attainment. Jefferson County...

40 CFR 81.337 - Oklahoma.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment McCurtain County AQCR 184 Central Oklahoma.../Attainment Adair County Cherokee County Le Flore County Sequoyah County AQCR 022 Shreveport-Texarkana-Tyler... Sequoyah County AQCR 022Shreveport-Texarkana-Tyler Intrastate: McCurtain County Unclassifiable/Attainment...

40 CFR 81.337 - Oklahoma.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment McCurtain County AQCR 184 Central Oklahoma.../Attainment Adair County Cherokee County Le Flore County Sequoyah County AQCR 022 Shreveport-Texarkana-Tyler... Sequoyah County AQCR 022Shreveport-Texarkana-Tyler Intrastate: McCurtain County Unclassifiable/Attainment...

40 CFR 81.321 - Maryland.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Washington Area Montgomery County (part) Election Districts 4, 7, 13 Attainment Prince George's County (part...) Unclassifiable/Attainment Montgomery County (part) Remainder of county Prince George's County (part) Remainder of... Frederick County Nonattainment 3/25/03 Severe Montgomery County Nonattainment 3/25/03 Severe Prince George's...

40 CFR 52.1570 - Identification of plan.

Code of Federal Regulations, 2010 CFR

2010-07-01

... County 2.0 E. I. du Pont de Nemours & Co Deepwater, Salem County 1.5 Heinz-USA Salem City, Salem County 2... County 2.0 Atlantic City Electric Deepwater Station Penns Grove, Salem County 1.5 E. I. du Pont de... County 2.0 E. I. du Pont de Nemours & Co Deepwater, Salem County 1.5 Heinz-U.S.A Salem City, Salem County...

75 FR 73969 - Approval and Promulgation of Implementation Plans; Extension of Attainment Date for the Atlanta...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-11-30

..., Cobb, Coweta, DeKalb, Douglas, Fayette, Forsyth, Fulton, Gwinnett, Hall, Henry, Newton, Paulding... County,'' ``DeKalb County,'' ``Douglas County,'' ``Fayette County,'' ``Forsyth County,'' ``Fulton County........ Subpart 2/Moderate effective. \\4\\. November 30, 2010. Douglas County This action is Nonattainment...

77 FR 21103 - Changes in Flood Hazard Determinations

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-09

... Maricopa County, index.php/arizona/ Buckeye, 530 East 2801 West Durango maricopa-county/. Monroe Avenue...-09- Chairman, Maricopa Maricopa County, index.php/arizona/ 3299P). County Board of 2801 West Durango... Maricopa County, index.php/arizona/ 3216P). County, Board of 2801 West Durango maricopa-county...

40 CFR 81.133 - Amarillo-Lubbock Intrastate Air Quality Control Region.

Code of Federal Regulations, 2010 CFR

2010-07-01

... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of... County, Collingsworth County, Crosby County, Dallam County, Deaf Smith County, Dickens County, Donley...

40 CFR 62.2351 - Identification of sources.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Chemical in Nichols, (4) Farmland Industry in Bartow County, (5) W. R. Grace Company in Polk County, (6) Royster Fertilizer in Polk County, (7) USS Agrichemicals in Polk County, (8) Central Farmers Co-Op in Polk County, (9) Agrico Chemical Company in Polk County, (10) Gardinier, Inc. in Hillsborough County, and (11...

40 CFR 62.2351 - Identification of sources.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Chemical in Nichols, (4) Farmland Industry in Bartow County, (5) W. R. Grace Company in Polk County, (6) Royster Fertilizer in Polk County, (7) USS Agrichemicals in Polk County, (8) Central Farmers Co-Op in Polk County, (9) Agrico Chemical Company in Polk County, (10) Gardinier, Inc. in Hillsborough County, and (11...

40 CFR 62.2351 - Identification of sources.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Chemical in Nichols, (4) Farmland Industry in Bartow County, (5) W. R. Grace Company in Polk County, (6) Royster Fertilizer in Polk County, (7) USS Agrichemicals in Polk County, (8) Central Farmers Co-Op in Polk County, (9) Agrico Chemical Company in Polk County, (10) Gardinier, Inc. in Hillsborough County, and (11...

40 CFR 62.2351 - Identification of sources.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Chemical in Nichols, (4) Farmland Industry in Bartow County, (5) W. R. Grace Company in Polk County, (6) Royster Fertilizer in Polk County, (7) USS Agrichemicals in Polk County, (8) Central Farmers Co-Op in Polk County, (9) Agrico Chemical Company in Polk County, (10) Gardinier, Inc. in Hillsborough County, and (11...

40 CFR 62.2351 - Identification of sources.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Chemical in Nichols, (4) Farmland Industry in Bartow County, (5) W. R. Grace Company in Polk County, (6) Royster Fertilizer in Polk County, (7) USS Agrichemicals in Polk County, (8) Central Farmers Co-Op in Polk County, (9) Agrico Chemical Company in Polk County, (10) Gardinier, Inc. in Hillsborough County, and (11...

40 CFR 81.304 - Arkansas.

Code of Federal Regulations, 2013 CFR

2013-07-01

... County Scott County Searcy County Stone County Van Buren County AQCR 022 Shreveport-Texarkana-Tyler... Van Buren County AQCR 022 Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment Columbia... Intrastate Unclassifiable Unclassifiable. AQCR 022Shreveport-Texarkana-Tyler Interstate Unclassifiable...

40 CFR 81.304 - Arkansas.

Code of Federal Regulations, 2011 CFR

2011-07-01

... County Scott County Searcy County Stone County Van Buren County AQCR 022 Shreveport-Texarkana-Tyler... Van Buren County AQCR 022 Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment Columbia... Intrastate Unclassifiable Unclassifiable. AQCR 022Shreveport-Texarkana-Tyler Interstate Unclassifiable...

40 CFR 81.304 - Arkansas.

Code of Federal Regulations, 2010 CFR

2010-07-01

... County Scott County Searcy County Stone County Van Buren County AQCR 022 Shreveport-Texarkana-Tyler... Van Buren County AQCR 022 Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment Columbia... Intrastate Unclassifiable Unclassifiable. AQCR 022Shreveport-Texarkana-Tyler Interstate Unclassifiable...

40 CFR 81.304 - Arkansas.

Code of Federal Regulations, 2012 CFR

2012-07-01

... County Scott County Searcy County Stone County Van Buren County AQCR 022 Shreveport-Texarkana-Tyler... Van Buren County AQCR 022 Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment Columbia... Intrastate Unclassifiable Unclassifiable. AQCR 022Shreveport-Texarkana-Tyler Interstate Unclassifiable...

40 CFR 81.304 - Arkansas.

Code of Federal Regulations, 2014 CFR

2014-07-01

... AQCR 022 Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment Columbia County Hempstead... County Scott County Searcy County Stone County Van Buren County AQCR 022 Shreveport-Texarkana-Tyler... 021Northwest Arkansas Intrastate Unclassifiable Unclassifiable. AQCR 022Shreveport-Texarkana-Tyler Interstate...

40 CFR 81.336 - Ohio.

Code of Federal Regulations, 2010 CFR

2010-07-01

... County Unclassifiable/Attainment Champaign County Unclassifiable/Attainment Clark County Unclassifiable... intersection of Interstate 71 and Clark Avenue to the intersection of Interstate 77 and Pershing Avenue Rest of... Dayton-Springfield Area: Clark County Attainment Greene County Attainment Miami County Attainment...

7 CFR 301.45-3 - Generally infested areas.

Code of Federal Regulations, 2012 CFR

2012-01-01

... county. Brooke County. The entire county. Calhoun County. The entire county. Doddridge County. The entire..., Apr. 28, 2006; 71 FR 53547, Sept. 12, 2006; 71 FR 66830, Nov. 17, 2006; 74 FR 48002, Sept. 21, 2009...

40 CFR 81.12 - National Capital Interstate Air Quality Control Region (District of Columbia, Maryland, and...

Code of Federal Regulations, 2010 CFR

2010-07-01

... State of Maryland: Montgomery County; Prince Georges County. In the State of Virginia: Arlington County; Fairfax County; Loudoun County; Prince William County. (As so delimited, the Virginia portion of the...

Importing the Poor: Welfare Magnetism and Cross-Border Welfare Migration

PubMed Central

McKinnish, Terra

2011-01-01

I test for welfare-induced migration by comparing AFDC participation in border counties to interior counties in the same state. If migration costs are lower for border county residents, border counties on the high-benefit side of a state border should have higher welfare participation relative to the state’s interior counties. Border counties on the low-benefit side should have lower welfare participation relative to the state’s interior counties. The results obtained using county-level data from 1970–90 indicate that having a neighbor with benefits that are $100 lower increases AFDC expenditures in border counties by 4.0–6.8 percent relative to interior counties. PMID:21949446

California Child Care Workforce Study: Family Child Care Providers and Assistants in Alameda County, Kern County, Monterey County, San Benito County, San Francisco County, San Mateo County, Santa Cruz County, and Santa Clara County.

ERIC Educational Resources Information Center

Whitebook, Marcy; Almaraz, Mirella; Jo-Yung, Joon; Sakai, Laura; Boots, Shelley Waters; Voisin, Irene; Young, Marci; Burton, Alice; Duff, Brian; Laverty, Kassin; Bellm, Dan; Jay, E. Deborah; Krishnaswamy, Nandini; Kipnis, Fran

An important first step toward more effectively addressing the complexities of child care as a service for families and as an employment setting for workers in California is to develop a detailed picture of the child care workforce. On this premise, a study examined licensed family child care provider demographics, professional preparation, length…

76 FR 30152 - East Calloway County Middle School Mercury Spill Site, Murray, Calloway County, KY; Notice of...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-05-24

... Middle School Mercury Spill Site, Murray, Calloway County, KY; Notice of Settlement AGENCY: Environmental... Calloway County Middle School Mercury Spill Site located in Murray, Calloway County, Kentucky for... County [[Page 30153

40 CFR 81.307 - Connecticut.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Attainment Plymouth Town Middlesex County (part) 1/2/96 Attainment Cromwell Town, Durham Town, E. Hampton.../Attainment Middlesex County (part) All portions except cities and towns in Hartford Area New London County... Middlesex County Nonattainment Serious. New Haven County Nonattainment Serious. New London County...

Consideration of driver home county prohibition and alcohol-related vehicle crashes.

PubMed

Schulte Gary, Sarah Lynn; Aultman-Hall, Lisa; McCourt, Matt; Stamatiadis, Nick

2003-09-01

This study examines the characteristics of alcohol-related crashes in wet versus dry counties in the state of Kentucky, USA and incorporates the location of driver residences through use of geographic information system (GIS) analysis. Between 1991 and 1997, 39344 alcohol-related crashes by Kentucky residents on Kentucky State roads were reported. The location of the crash and the home ZIP code from the driver's address were used to consider distance from home in the GIS. Analysis of the crash data revealed that a similar proportion of crashes in wet and dry counties are alcohol-related but that a higher proportion of dry counties residents are involved in an alcohol-related crash. However, when the distance from home variable is considered, several results suggest that dry county residents may be driving further when consuming alcohol. In part due to the rural nature of dry counties, drivers from dry counties have both alcohol-related and non-alcohol related crashes farther from their homes than residents from wet counties. Alcohol-related crashes by dry county residents in wet counties are the greatest average distance from home while crashes by wet county residents in wet counties are the smallest average distance. Drivers from dry counties over 21 years of age have alcohol-related crashes significantly farther from home than those under 21 who would not legally be admitted to drinking establishments in the wet counties. Furthermore, residents from dry counties that do not border wet counties have alcohol-related crashes on average farther from home than the border county residents. These last three results provide circumstantial evidence that some dry county drivers may be driving to wet counties to consume alcohol thus increasing impaired driving exposure. In conclusion, by considering crash location and driver residence, these findings indicate that county-level prohibition is not necessarily effective in improving highway safety.

40 CFR 81.343 - Tennessee.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Johnson County X That portion of Knox County within a section of downtown Knoxville X Rest of Knox County...: Hawkins County (2) Attainment. Sullivan County (2) Attainment. Knoxville, TN: Anderson County This action... secondary) Designated area Designation Date 1 Type Classification Date 1 Type Knoxville, TN: 2 Nonattainment...

National Geocoding Converter File 1 : Volume 3. Montana to Wyoming.

DOT National Transportation Integrated Search

1974-01-01

This file contains a record for each county, county equivalent (as defined by the Census Bureau), SMSA county segment and SPLC county segment in the U.S. A record identifies for an area all major county codes and the associated county aggregate codes

National Geocoding Converter File 1 : Volume 1. Structure & Content.

DOT National Transportation Integrated Search

1974-01-01

This file contains a record for each county, county equivalent (as defined by the Census Bureau), SMSA county segment and SPLC county segment in the U.S. A record identifies for an area all major county codes and the associated county aggregate codes

76 FR 39357 - Revisions to the California State Implementation Plan, Imperial County Air Pollution Control...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-07-06

... the California State Implementation Plan, Imperial County Air Pollution Control District, Kern County Air Pollution Control District, and Ventura County Air Pollution Control District AGENCY... the Imperial County Air Pollution Control District (ICAPCD), Kern County Air Pollution Control...

Welcome - TampaBay.WaterAtlas.org

Science.gov Websites

An edition of: WaterAtlas.orgPresented By: USF Water Institute Choose a Water Atlas Charlotte Harbor NEP Water Atlas Hillsborough County Water Atlas Lake County Water Atlas Manatee County Water Atlas Orange County Water Atlas Pinellas County Water Atlas Polk County Water Atlas Sarasota County Water Atlas

40 CFR 81.343 - Tennessee.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Johnson County X That portion of Knox County within a section of downtown Knoxville X Rest of Knox County... County (2) Attainment. Knoxville, TN: Anderson County This action is effective 3/8/2011 Attainment Blount... Date 1 Type Knoxville, TN: 2 Nonattainment Marginal. Anderson County (part) 2000 Census tracts: 202...

27 CFR 9.50 - Temecula Valley.

Code of Federal Regulations, 2014 CFR

2014-04-01

... the point where it converges with the Riverside County-San Diego County line. (3) The boundary follows the Riverside County-San Diego County line southwesterly, then southeasterly to the point where the Riverside County-San Diego County line diverges southward and the Santa Rosa Land Grant boundary continues...

27 CFR 9.50 - Temecula Valley.

Code of Federal Regulations, 2013 CFR

2013-04-01

... the point where it converges with the Riverside County-San Diego County line. (3) The boundary follows the Riverside County-San Diego County line southwesterly, then southeasterly to the point where the Riverside County-San Diego County line diverges southward and the Santa Rosa Land Grant boundary continues...

27 CFR 9.50 - Temecula Valley.

Code of Federal Regulations, 2012 CFR

2012-04-01

... the point where it converges with the Riverside County-San Diego County line. (3) The boundary follows the Riverside County-San Diego County line southwesterly, then southeasterly to the point where the Riverside County-San Diego County line diverges southward and the Santa Rosa Land Grant boundary continues...

76 FR 39303 - Revisions to the California State Implementation Plan, Imperial County Air Pollution Control...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-07-06

... the California State Implementation Plan, Imperial County Air Pollution Control District, Kern County Air Pollution Control District, and Ventura County Air Pollution Control District AGENCY... approve revisions to the Imperial County Air Pollution Control District (ICAPCD), Kern County Air...

The timber resources of Humboldt County, California.

Treesearch

Daniel D. Oswald

1968-01-01

This report presents the first complete inventory of Humboldt County's timber resources. Past Forest Survey inventories have included Humboldt County, but they were not designed to obtain volume estimates for an individual county. Humboldt County is part of a survey unit which also includes Del Norte County. There are eight such inventory units in California; and...

77 FR 66601 - Northern Natural Gas Company; Notice of Availability of the Environmental Assessment for the...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-11-06

... Ochiltree, Hansford, Hutchinson, and Carson Counties, Texas; Beaver County, Oklahoma; and Kiowa and Clark... Station, Ochiltree County, Texas, MP 38.47; Beaver Compressor Station, Beaver County, Oklahoma, MP 0.00; Northern/CNG Interconnect, Beaver County, Oklahoma, MP 10.35; Englewood Branch Line, Clark County, Kansas...

Interim housing conditions profile, Benton and Franklin Counties, Washington: BWIP Repository Project: Working draft

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bolton, P.A.

1987-11-01

This report describes the housing stock and its availability in Benton and Franklin counties. Depending on the specific measures, data are presented for the entire MSA, for Benton and Franklin counties separately, for incorporated and unincorporated areas within the counties, and for specific incorporated areas. The most detailed data are available for the two counties and for the major cities of Kennewick and Richland in Benton County and Pasco in Franklin County. In 1986, 64 percent of the population of Benton County and 66 percent of the housing units were in Kennewick and Richland. Seventy-three percent of the population andmore » 75 percent of the housing were in the incorporated area of Benton County. In Franklin County, Pasco accounted for 52 percent of the county's 1986 population and 57 percent of its housing. Fifty-nine percent of the population and 63 percent of the housing were in the incorporated areas of Franklin County. More detailed data are needed to fully describe the housing conditions in the jurisdictions described here. 13 refs., 9 tabs.« less

PennsylvaniaNew Jersey Interconnection Bushkill to Roseland Transmission Line, From Roseland ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

Pennsylvania-New Jersey Interconnection Bushkill to Roseland Transmission Line, From Roseland Borough, Essex County, through Morris County and Sussex County to Hardwick Township, Warren County, Roseland, Essex County, NJ

Suicide Among Military Personnel and Veterans Aged 18-35 Years by County-16 States.

PubMed

Logan, Joseph E; Fowler, Katherine A; Patel, Nimeshkumar P; Holland, Kristin M

2016-11-01

Suicide among military personnel and young Veterans remains a health concern. This study examined stateside distribution of suicides by U.S. county to help focus prevention efforts. Using 2005-2012 National Violent Death Reporting System data from 16 states (963 counties, or county-equivalent entities), this study mapped the county-level distribution of suicides among current military and Veteran decedents aged 18-35 years. This study also compared incident circumstances of death between decedents in high-density counties (i.e., counties with the highest proportion of deaths) versus those in medium/low-density counties to better understand the precipitators of suicide in counties most affected. Last, this study identified potential military and Veteran Health Administration intervention sites. All analyses were conducted in 2015. Within the National Violent Death Reporting System participating states, an estimated 262 (33%) current military suicides occurred in just ten (1.0%) counties, and 391 (33%) Veteran suicides occurred in 33 (3.4%) counties. Mental health and intimate partner problems were common precipitating circumstances, and some circumstances differed between cases in high- versus those in medium/low-density counties. Multiple potential intervention sites were identified in high-density counties. These findings suggest that military and Veteran suicides are concentrated in a small number of counties. Increased efforts at these locales might be beneficial. Published by Elsevier Inc.

7 CFR 407.10 - Group risk plan for barley.

Code of Federal Regulations, 2010 CFR

2010-01-01

...; California; and Clark and Nye Counties, Nevada October 31 June 30. All Colorado counties except Kit Carson...; all Nevada counties except Clark and Nye Counties; Taos County, New Mexico; and all other states...

7 CFR 407.10 - Group risk plan for barley.

Code of Federal Regulations, 2011 CFR

2011-01-01

...; California; and Clark and Nye Counties, Nevada October 31 June 30. All Colorado counties except Kit Carson...; all Nevada counties except Clark and Nye Counties; Taos County, New Mexico; and all other states...

40 CFR 81.344 - Texas.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Attainment AQCR 022 Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment Anderson County Bowie... Victoria Area: Victoria County Attainment AQCR 022 Shreveport-Texarkana-Tyler Interstate Unclassifiable... 022Shreveport-Texarkana-Tyler Interstate Unclassifiable/Attainment Anderson County Bowie County Camp County Cass...

77 FR 56797 - Approval and Promulgation of Implementation Plans; California; Determinations of Attainment for...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-14

..., Kern County, Mariposa and Tuolumne Counties, Nevada County, and Sutter County) (``six CA areas... dates. Second, in making these proposed determinations for Mariposa and Tuolumne Counties and Nevada...

Digital computer processing of LANDSAT data for North Alabama. [Linestone County, Madison County, Jackson County, Marshall County, and DeKalb County

NASA Technical Reports Server (NTRS)

Bond, A. D.; Atkinson, R. J.; Lybanon, M.; Ramapriyan, H. K.

1977-01-01

Computer processing procedures and programs applied to Multispectral Scanner data from LANDSAT are described. The output product produced is a level 1 land use map in conformance with a Universal Transverse Mercator projection. The region studied was a five-county area in north Alabama.

Relationship between Job Satisfaction of County Extension Staff and the Level of Emotional Intelligence of County Extension Directors

ERIC Educational Resources Information Center

Villard, Judith A.; Earnest, Garee W.

2006-01-01

This descriptive-correlational study used a census of Ohio State University Extension county directors and a random sample of county staff throughout the State of Ohio. Data were collected utilizing Bar-On's Emotional Intelligence Quotient instrument (county directors) and Warner's job satisfaction instrument (county staff). The study examined the…

40 CFR 81.337 - Oklahoma.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Cherokee County Le Flore County Sequoyah County AQCR 022 Shreveport-Texarkana-Tyler Interstate... AQCR 022 Shreveport-Texarkana-Tyler Intrastate Unclassifiable/Attainment McCurtain County AQCR 184... 022Shreveport-Texarkana-Tyler Intrastate: McCurtain County Unclassifiable/Attainment AQCR 184Central Oklahoma...

7 CFR 301.45-3 - Generally infested areas.

Code of Federal Regulations, 2013 CFR

2013-01-01

... Abraham, New Sharon, New Vineyard, Perkins, Phillips, Rangeley, Rangeley Plantation, Redington, Salem... County. The entire county. Lincoln County. The entire county. Oxford County. The townships of Adamstown..., Lincoln Plantation, Lovell, Lower Cupsuptic, Magalloway Plantation, Mason Plantation, Mexico, Milton...

7 CFR 301.45-3 - Generally infested areas.

Code of Federal Regulations, 2014 CFR

2014-01-01

... Abraham, New Sharon, New Vineyard, Perkins, Phillips, Rangeley, Rangeley Plantation, Redington, Salem... County. The entire county. Lincoln County. The entire county. Oxford County. The townships of Adamstown..., Lincoln Plantation, Lovell, Lower Cupsuptic, Magalloway Plantation, Mason Plantation, Mexico, Milton...

77 FR 14032 - John H. Chafee Coastal Barrier Resources System; Lee County, FL, and Newport County, RI...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-03-08

..., FXHC11240900000T5, 123] John H. Chafee Coastal Barrier Resources System; Lee County, FL, and Newport County, RI... Lee County, Florida. The second map, dated September 30, 2009, is for four CBRS units located in... by Lee County, and 1 restaurant. The Service's assessment of 2011 aerial imagery estimates that the...

Mansonia titillans: New Resident Species or Infrequent Visitor in Chatham County, Georgia, and Beaufort County, South Carolina, USA.

PubMed

Moulis, Robert A; Peaty, Laura F A W; Heusel, Jeffrey L; Lewandowski, Henry B; Harrison, Bruce A; Kelly, Rosmarie; Hager, Elizabeth J

2015-06-01

In September, October, and November 2014, adult Mansonia titillans were collected at 4 separate sites near Savannah in Chatham County, Georgia, and 1 site in Muscogee County, GA, during routine mosquito surveillance. Although previously recorded from Beaufort County, SC, and several inland southern Georgia counties, recent reports of this species from coastal Georgia or South Carolina are lacking. These newly captured Ma. titillans specimens represent the first documented records for Muscogee County and Chatham County, GA, and may indicate a recent northern expansion or reintroduction of this species along the Georgia and South Carolina coast.

40 CFR 62.1102 - Identification of sources.

Code of Federal Regulations, 2011 CFR

2011-07-01

...) Allied Chemical Corporation in Alameda County. (b) Monsanto Company in Alameda County. (c) Occidental Chemical Company in Fresno County. (d) Stauffer Chemical Company in Alameda County. (e) Valley Nitrogen Products, Inc. in Kern County. Fluoride Emissions From Primary Aluminum Reduction Plants ...

40 CFR 62.1102 - Identification of sources.

Code of Federal Regulations, 2014 CFR

2014-07-01

...) Allied Chemical Corporation in Alameda County. (b) Monsanto Company in Alameda County. (c) Occidental Chemical Company in Fresno County. (d) Stauffer Chemical Company in Alameda County. (e) Valley Nitrogen Products, Inc. in Kern County. Fluoride Emissions From Primary Aluminum Reduction Plants ...

40 CFR 62.1102 - Identification of sources.

Code of Federal Regulations, 2012 CFR

2012-07-01

...) Allied Chemical Corporation in Alameda County. (b) Monsanto Company in Alameda County. (c) Occidental Chemical Company in Fresno County. (d) Stauffer Chemical Company in Alameda County. (e) Valley Nitrogen Products, Inc. in Kern County. Fluoride Emissions From Primary Aluminum Reduction Plants ...

40 CFR 62.1102 - Identification of sources.

Code of Federal Regulations, 2013 CFR

2013-07-01

...) Allied Chemical Corporation in Alameda County. (b) Monsanto Company in Alameda County. (c) Occidental Chemical Company in Fresno County. (d) Stauffer Chemical Company in Alameda County. (e) Valley Nitrogen Products, Inc. in Kern County. Fluoride Emissions From Primary Aluminum Reduction Plants ...

"Top Performing" US Hospitals and the Health Status of Counties they Serve.

PubMed

Maraccini, Amber M; Yang, Wei; Slonim, Anthony D

2018-06-01

This study (a) examined the relationships between "top performing" US hospitals and the health status of counties they serve and (b) compared the health status of "top performing" US hospital counties versus that of remaining US counties. Statistical analyses considered US News and World Report Honor Roll ranking data, as a measure of hospital performance, and County Health Rankings (CHR) data, as a measure of county health status. "Top performing" hospital Honor Roll scores were correlated with measures of Clinical Care (p < 0.001). Counties with "top performing" US hospitals presented greater health status with regard to All Health Outcomes (p < 0.001), Length of Life (p < 0.001), Quality of Life (p < 0.001), All Health Factors (p < 0.001), Health Behaviors (p < 0.001), and Clinical Care (p < 0.001), than compared to remaining US counties. Hospital impact on county health status remains primarily recognized in clinical care and not in overall health. Also, counties that contain a "top performing" US hospital tend to present lower health risks to their citizens than compared to other US counties.

Energy Emergency Districts: Concepts and Applications.

DTIC Science & Technology

1985-06-01

Association County Supervisors Association of California of California Louis Peterka, Coordinator Norm Hardin, Sergeant Sonoma County Emergency Services Sonoma ...Alameda County U County Counsel, JAMES P. BOTZ, Sonoma County U Executive Director, LARRY E. NAAKE Sacramento Office / 0o1, 1100 K Street / Sacramento... County Emergency Services Vance Raye Michael McGuire Secretary of Legal Affairs Deputy Secretary of Legal Affairs Office of the Governor Office of

Agreement between the County of Sullivan and Sullivan County Community College and the Professional Staff Association of Sullivan County Community College, September 1, 1987-August 31, 1990.

ERIC Educational Resources Information Center

Sullivan County Community Coll., Loch Sheldrake, NY.

This collective bargaining agreement between the County of Sullivan and Sullivan County Community College and the Professional Staff Association of Sullivan County Community College establishes conditions of employment for academic teaching, non-teaching, and support staff. The articles in the agreement set forth provisions related to: (1)…

Environmental Assessment: Johnson County Road F-20 Bypass, Johnson County, Iowa.

DTIC Science & Technology

1986-08-01

D-A184 328 ENVIRONMENTAL ASSESSMENT- JOHNSON COUNTY ROAD F-20 vil BYPASS JOHNSON COUNTY’ IOWA (U) ARMY ENGINEER DISTRICT ROCK ISLAND IL AUG 86...BYPASS JOHNSON COUNTY, IOWA DTIC SELECTEI AUG 24 198D AUGUST 1986 -’"Thn; c>, .. i ’, been p ore i Icr publj rJlxaje aid sale; ii ,,. I distibu on is...2004 19 EPLY TO ATTENTION OP NCRPD-E ENVIRONMENTAL ASSE SSMENT JOHNSON COUNTY ROAD F-20 BYPASS JOHNSON COUNTY, IOWA Acce3siofl For NTIS MR& QUA~rTY

Environmental Considerations for Municipal Waste Combustors

DTIC Science & Technology

1994-07-01

phone as above) 700 H Samet Sacramento, CA 95814 NORTHERN SONOMA COUNTY Air Pollution Control SAN BENITO COUNTY (See Monterey Bay Northern Sonoma County Air...Control Northern Sonoma County Air Pollution Control District San Bernardino County Air Pollution Control District Board of Directors 15428 Civic Drive 575

Influence of Peer Pressure on Secondary School Students Drop out in Rongo Sub-County, Migori County, Kenya

ERIC Educational Resources Information Center

Omollo, Atieno Evaline; Yambo, Onyango J. M.

2017-01-01

The purpose of this study was to establish the influence of peer pressure on secondary school students' drop out in Rongo Sub-County, Migori County, Kenya. The statement of the problem showed that the sub-county had a dropout rate of 43 percent as compared to the neighboring sub counties like Uriri, Awendo, Nyatike, Kuria and Migori which had 25,…

43 CFR 2806.21 - When and how are counties or other geographical areas assigned to a County Zone Number and Per...

Code of Federal Regulations, 2012 CFR

2012-10-01

... geographical areas assigned to a County Zone Number and Per Acre Zone Value? 2806.21 Section 2806.21 Public... MANAGEMENT ACT Rents Linear Rights-Of-Way § 2806.21 When and how are counties or other geographical areas assigned to a County Zone Number and Per Acre Zone Value? Counties (or other geographical areas) are...

43 CFR 2806.21 - When and how are counties or other geographical areas assigned to a County Zone Number and Per...

Code of Federal Regulations, 2011 CFR

2011-10-01

... geographical areas assigned to a County Zone Number and Per Acre Zone Value? 2806.21 Section 2806.21 Public... MANAGEMENT ACT Rents Linear Rights-Of-Way § 2806.21 When and how are counties or other geographical areas assigned to a County Zone Number and Per Acre Zone Value? Counties (or other geographical areas) are...

43 CFR 2806.21 - When and how are counties or other geographical areas assigned to a County Zone Number and Per...

Code of Federal Regulations, 2013 CFR

2013-10-01

... geographical areas assigned to a County Zone Number and Per Acre Zone Value? 2806.21 Section 2806.21 Public... MANAGEMENT ACT Rents Linear Rights-Of-Way § 2806.21 When and how are counties or other geographical areas assigned to a County Zone Number and Per Acre Zone Value? Counties (or other geographical areas) are...

43 CFR 2806.21 - When and how are counties or other geographical areas assigned to a County Zone Number and Per...

Code of Federal Regulations, 2014 CFR

2014-10-01

... geographical areas assigned to a County Zone Number and Per Acre Zone Value? 2806.21 Section 2806.21 Public... MANAGEMENT ACT Rents Linear Rights-Of-Way § 2806.21 When and how are counties or other geographical areas assigned to a County Zone Number and Per Acre Zone Value? Counties (or other geographical areas) are...

Progress in reducing premature deaths in Wisconsin counties, 2000-2010.

PubMed

Nonnweiler, Thomas; Pollock, Elizabeth A; Rudolph, Barbara; Remington, Patrick L

2013-10-01

Measuring trends in a county's premature death rate is a straightforward method that can be used to assess a county's progress in improving the health of the population. Age-adjusted premature death rate data from Wisconsin Interactive Statistics on Health for persons less than 75 years of age were collected for the years 2000-2010. Overall 10-year percent change was calculated, compared, and ranked for all Wisconsin counties during this time period. Progress was assessed as excellent (25.0% or greater decline), very good (20.0%-24.9% decline), good (10.0%-19.9% decline), fair (0.0%-9.9% decline), or poor (any increase). Overall, premature death rates in counties declined by 16.8% over the 10-year period 2000-2010 in Wisconsin. Trends varied by county, with 8, 15, 37, 9, and 3 counties having excellent, very good, good, fair, and poor progress, respectively. The most improvement was seen in Kewaunee County (decreasing 38.3%) and the least progress in Lafayette County (increasing 4.8%). Trends in premature death rates were not related to the county's initial death rate, population, rurality, or income. Although premature death rates declined overall in Wisconsin during the 2000s, this progress varied across counties and was not related to baseline mortality rates or other county characteristics.

Effect of eliminating open defecation on diarrhoeal morbidity: an ecological study of Nyando and Nambale sub-counties, Kenya.

PubMed

Njuguna, John

2016-08-04

Defecating in the open predisposes people to soil transmitted helminthes and diarrhoeal diseases. An estimated 5.6 million Kenyans defecate in the open. Kenya launched a program to eradicate open defecation by 2013 in the rural areas. By end of 2013, only two sub-counties had eliminated open defecation. These are Nambale and Nyando. The study looked at the impact of eradicating open defecation on diarrhea prevalence among children in these two sub-counties. Data on diarrhoea morbidity among children under 5 years was extracted from the Kenya Health Information System for all the sub-counties in Busia and Kisumu counties for 2012, 2013 and 2014 respectively. Prevalence was calculated for each sub-county in Kisumu for comparison with Nyando's. Prevalence was also calculated for each sub-county in Busia County and compared to that of Nambale sub-county. A Mann-Whitney U Test was done to test the null hypothesis that diarrhoea prevalence was similar in both open defecation and open defecation free sub-counties. A Mann-Whitney U Test revealed significant difference in diarrhoeal prevalence of open defecation sub-counties (Md = 18.4, n = 34) and open defecation free sub-counties (Md = 9.8, n = 5), U = 9, z = -3.2, p = .001. Among the two Counties, Nambale had the lowest prevalence. It recorded a decline from 9.8 to 5.7 % across the three years. Prevalence for diarrhoea cases in Nyando declined from 19.1 to 15.2 % across the three years. Nyando initially had the second highest prevalence in Kisumu County and by 2014 it had the lowest prevalence. The two sub-counties with open defecation free status had lower prevalence of diarrhoea cases compared to sub-counties which were yet to attain open defecation free status. This suggests that elimination of open defecation may reduce the number of diarrhoea cases.

40 CFR 80.70 - Covered areas.

Code of Federal Regulations, 2010 CFR

2010-07-01

... following Illinois counties: (i) Cook; (ii) Du Page; (iii) Kane; (iv) Lake; (v) McHenry; (vi) Will; (2... counties: (i) Calvert; (ii) Charles; (iii) Frederick; (iv) Montgomery; (v) Prince Georges; (vi) Queen Anne...) Manassas; (viii) Manassas Park; (ix) Prince William County; (x) Stafford County; (xi) Charles City County...

75 FR 63436 - Nevada and Placer Counties Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2010-10-15

... DEPARTMENT OF AGRICULTURE Forest Service Nevada and Placer Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Nevada and Placer Counties Resource... Counties. ADDRESSES: The meeting will be held at the Placer County Water Agency office, 144 Ferguson, Rd...

75 FR 25308 - Environmental Impact Statement: Winnebago County, IL and Rock County, WI

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-07

... DEPARTMENT OF TRANSPORTATION Federal Highway Administration Environmental Impact Statement: Winnebago County, IL and Rock County, WI AGENCY: Federal Highway Administration (FHWA), DOT. ACTION: Notice... Nye School Road northwest of Beloit, Rock County, Wisconsin to the interchange of Rockton Road and I...

78 FR 43852 - Correction for the Cairo, IL and Belmond, IA Areas

Federal Register 2010, 2011, 2012, 2013, 2014

2013-07-22

... Designation'' ``D.R. Schaal'' paragraph is hereby corrected to include: The following grain elevators are not....: Agvantage F.S., Chapin, Franklin County and Five Star Coop, Rockwell, Cerro Gordo County, Iowa; Sioux City... County; Gold-Eagle, Goldfield, Wright County; and North Central Coop, Holmes, Wright County, Iowa...

7 CFR 1220.626 - FSA county office report.

Code of Federal Regulations, 2010 CFR

2010-01-01

... CONSUMER INFORMATION Procedures To Request a Referendum Definitions § 1220.626 FSA county office report. The county FSA office report shall be certified as accurate and complete by the CED or designee... county summary of requests on a form provided by the Administrator, FSA. Each county FSA office shall...

7 CFR 1220.626 - FSA county office report.

Code of Federal Regulations, 2013 CFR

2013-01-01

... CONSUMER INFORMATION Procedures To Request a Referendum Definitions § 1220.626 FSA county office report. The county FSA office report shall be certified as accurate and complete by the CED or designee... county summary of requests on a form provided by the Administrator, FSA. Each county FSA office shall...

7 CFR 1220.626 - FSA county office report.

Code of Federal Regulations, 2014 CFR

2014-01-01

... CONSUMER INFORMATION Procedures To Request a Referendum Definitions § 1220.626 FSA county office report. The county FSA office report shall be certified as accurate and complete by the CED or designee... county summary of requests on a form provided by the Administrator, FSA. Each county FSA office shall...

7 CFR 1220.626 - FSA county office report.

Code of Federal Regulations, 2012 CFR

2012-01-01

... CONSUMER INFORMATION Procedures To Request a Referendum Definitions § 1220.626 FSA county office report. The county FSA office report shall be certified as accurate and complete by the CED or designee... county summary of requests on a form provided by the Administrator, FSA. Each county FSA office shall...

7 CFR 1220.626 - FSA county office report.

Code of Federal Regulations, 2011 CFR

2011-01-01

... CONSUMER INFORMATION Procedures To Request a Referendum Definitions § 1220.626 FSA county office report. The county FSA office report shall be certified as accurate and complete by the CED or designee... county summary of requests on a form provided by the Administrator, FSA. Each county FSA office shall...

78 FR 53680 - Revisions to the California State Implementation Plan, Placer, Santa Barbara and Ventura County...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-08-30

... the California State Implementation Plan, Placer, Santa Barbara and Ventura County Air Pollution... is taking direct final action to approve revisions to the Placer County Air Pollution Control District (PCAPCD), Santa Barbara County Air Pollution Control District (SBCAPCD) and Ventura County Air...

Household survey analysis of the impact of comprehensive strategies to improve the expanded programme on immunisation at the county level in western China, 2006–2010

PubMed Central

Zhou, Yuqing; Xing, Yi; Liang, Xiaofeng; Yue, Chenyan; Zhu, Xu; Hipgrave, David

2016-01-01

Objective To evaluate interventions to improve routine vaccination coverage and caregiver knowledge in China's remote west, where routine immunisation is relatively weak. Design Prospective pre–post (2006–2010) evaluation in project counties; retrospective comparison based on 2004 administrative data at baseline and surveyed post-intervention (2010) data in selected non-project counties. Setting Four project counties and one non-project county in each of four provinces. Participants 3390 children in project counties at baseline, and 3299 in project and 830 in non-project counties post-intervention; and 3279 caregivers at baseline, and 3389 in project and 830 in non-project counties post-intervention. Intervention Multicomponent inexpensive knowledge-strengthening and service-strengthening and innovative, multisectoral engagement. Data collection Standard 30-cluster household surveys of vaccine coverage and caregiver interviews pre-intervention and post-intervention in each project county. Similar surveys in one non-project county selected by local authorities in each province post-intervention. Administrative data on vaccination coverage in non-project counties at baseline. Primary outcome measures Changes in vaccine coverage between baseline and project completion (2010); comparative caregiver knowledge in all counties in 2010. Analysis Crude (χ2) analysis of changes and differences in vaccination coverage and related knowledge. Multiple logistic regression to assess associations with timely coverage. Results Timely coverage of four routine vaccines increased by 21% (p<0.001) and hepatitis B (HepB) birth dose by 35% (p<0.001) over baseline in project counties. Comparison with non-project counties revealed secular improvement in most provinces, except new vaccine coverage was mostly higher in project counties. Ethnicity, province, birthplace, vaccination site, dual-parental out-migration and parental knowledge had significant associations with coverage. Knowledge increased for all variables but one in project counties (highest p<0.05) and was substantially higher than in non-project counties (p<0.01). Conclusions Comprehensive but inexpensive strategies improved vaccination coverage and caretaker knowledge in western China. Establishing multisectoral leadership, involving the education sector and including immunisation in public-sector performance standards, are affordable and effective interventions. PMID:26966053

Maps Showing Locations of Damaging Landslides Caused by El Nino Rainstorms, Winter Season 1997-98, San Francisco Bay Region, California

USGS Publications Warehouse

Godt, Jonathan W.

1999-01-01

Heavy rainfall associated with a strong El Nino caused over $150 million in landslide damage in the 10-county San Francisco Bay region during the winter and spring of 1998. Reports of landsliding began in early January 1998 and continued throughout the winter and spring. On February 9, President Clinton declared all 10 counties eligible for Federal Emergency Management Agency (FEMA) disaster assistance. In April and May of 1998, personnel from the U.S. Geological Survey (USGS) conducted a field reconnaissance in the area to provide a general overview of landslide damage resulting from the 1997-98 sequence of El Nino-related storms. Seven scientists from the USGS Landslide Hazards Program based in Reston, Virginia; Golden, Colorado; and Menlo Park, California; and five scientists from the USGS Geologic Mapping Program?s San Francisco Bay Mapping Team based in Menlo Park, California, cooperated in the landslide-damage assessments. The assessments were done for 10 counties in the Bay area: Alameda, Contra Costa, Marin, Napa, San Francisco, Santa Clara, Santa Cruz, San Mateo, Solano, and Sonoma. USGS Maps in this series include: MF-2325-A (Napa County), MF-2325-B (Alameda County), MF-2325-C (Marin County), MF-2325-D (Santa Cruz County), MF-2325-E (Contra Costa County), MF-2325-F (Sonoma County), MF-2325-G (San Francisco City and County), MF-2325-H (San Mateo County), MF-2325-I (Solano County), MF-2325-J (Santa Clara County). In addition to USGS scientists providing data from the field evaluation, each of the counties, many consultants, and others cooperated fully in providing the landslide-damage information compiled here.

25. DIVERSION STRUCTURE EAST OF FORMER BASIN F IN SECTION ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

25. DIVERSION STRUCTURE EAST OF FORMER BASIN F IN SECTION 26. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

13. TREES ALONG LATERAL SEGMENT AT THE NORTHERN END OF ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

13. TREES ALONG LATERAL SEGMENT AT THE NORTHERN END OF LAKE LADORA. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

26. DIVERSION STRUCTURE WITH FORMER BASIN F IN DISTANCE (SECTION ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

26. DIVERSION STRUCTURE WITH FORMER BASIN F IN DISTANCE (SECTION 26). - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

6. DROP STRUCTURE BETWEEN C AND D STREETS (SECTION 11). ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

6. DROP STRUCTURE BETWEEN C AND D STREETS (SECTION 11). - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

5. HEAD GATE BETWEEN C AND D STREETS (SECTION 11). ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

5. HEAD GATE BETWEEN C AND D STREETS (SECTION 11). - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

2. COURSE OF THE LATERAL THROUGH DEL NORTHWEST MAR PARK. ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

2. COURSE OF THE LATERAL THROUGH DEL NORTHWEST MAR PARK. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

14. DAMAGED HEAD GATE NORTH OF LAKE LADORA (SECTION 2). ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

14. DAMAGED HEAD GATE NORTH OF LAKE LADORA (SECTION 2). - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

20. HEAD GATE IN THE NORTHWEST QUARTER OF SECTION 35. ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

20. HEAD GATE IN THE NORTHWEST QUARTER OF SECTION 35. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

69. MISSISSIPPI, LOWNDES CO. COLUMBUS MAP OF LOWNDES COUNTY, 1931 ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

69. MISSISSIPPI, LOWNDES CO. COLUMBUS MAP OF LOWNDES COUNTY, 1931 ROAD MAP OF LOWNDES COUNTY, MISSISSIPPI, 1931 by C.L. Wood, the county engineer. Updated through the mid-1930s to show new federal aid-state roads. Compares modern system with older county system. Original scale: 1 in. to 1 mi. Property of Helen (Mrs. Sam L.) Crawford, Hamilton, Ms. Sarcone Photography, Columbus, Ms., Sep 1978. - Bridges of the Upper Tombigbee River Valley, Columbus, Lowndes County, MS

Fuelwood use in U.S. counties

Treesearch

Kenneth E. Skog; Robert S. Manthy

1989-01-01

This study explains and determines fuelwood consumption at the county level based on county economic and demographic conditions, and identifies U.S. counties where potential fuelwood use problems and benefits are greatest. The percentage of wood-burning households in a county is estimated and multiplied by estimated average wood consumed per wood-burning household in...

40 CFR Table 1 to Subpart Fff of... - Municipal Waste Combustor Units (MWC Units) Excluded From Subpart FFF 1

Code of Federal Regulations, 2010 CFR

2010-07-01

... Harrisburg, PA. (c) Lancaster County Solid Waste Management Authority, Conoy Township, Lancaster County, PA. (d) Montenay Montgomery Limited Partnership, Plymouth Township, Montgomery County, PA. (e) Wheelabrator Falls, Inc., Falls Township, Bucks County, PA. (f) York County Solid Waste and Refuse Authority...

40 CFR Table 1 to Subpart Fff of... - Municipal Waste Combustor Units (MWC Units) Excluded From Subpart FFF 1

Code of Federal Regulations, 2011 CFR

2011-07-01

... Harrisburg, PA. (c) Lancaster County Solid Waste Management Authority, Conoy Township, Lancaster County, PA. (d) Montenay Montgomery Limited Partnership, Plymouth Township, Montgomery County, PA. (e) Wheelabrator Falls, Inc., Falls Township, Bucks County, PA. (f) York County Solid Waste and Refuse Authority...

Developing a Marketing Mind-Set: Training and Mentoring for County Extension Employees

ERIC Educational Resources Information Center

Sneed, Christopher T.; Elizer, Amy Hastings; Hastings, Shirley; Barry, Michael

2016-01-01

Marketing the county Extension program is a critical responsibility of the entire county staff. This article describes a unique peer-to-peer training and mentoring program developed to assist county Extension staff in improving marketing skills and successfully developing and implementing a county Extension marketing plan. Data demonstrating…

75 FR 6407 - National Register of Historic Places; Notification of Pending Nominations and Related Actions

Federal Register 2010, 2011, 2012, 2013, 2014

2010-02-09

..., 10000058 MASSACHUSETTS Bristol County Ingraham, Robert C., School, 80 Rivet St., New Bedford, 10000056 Middlesex County Groton High School, 145 Main St., Groton, 10000057 NEW YORK Putnam County West Point... St., Chariton, 10000054 Story County Roosevelt School, 921 9th St., Ames, 10000055 MAINE York County...

78 FR 5821 - Final Flood Hazard Determinations

Federal Register 2010, 2011, 2012, 2013, 2014

2013-01-28

... Greene County Courthouse, 306 West Court Street, Paragould, AR 72450. Curry County, New Mexico, and..., Clovis, NM 88101. Unincorporated Areas of Curry County. Curry County Administrative Office, 700 North...

Tourism impacts of Three Mile Island and other adverse events: Implications for Lincoln County and other rural counties bisected by radioactive wastes intended for Yucca Mountain

DOE Office of Scientific and Technical Information (OSTI.GOV)

Himmelberger, J.J.; Ogneva-Himmelberger, Y.A.; Baughman, M.

Whether the proposed Yucca Mountain nuclear waste repository system will adversely impact tourism in southern Nevada is an open question of particular importance to visitor-oriented rural counties bisected by planned waste transportation corridors (highway or rail). As part of one such county`s repository impact assessment program, tourism implications of Three Mile Island (TMI) and other major hazard events have been revisited to inform ongoing county-wide socioeconomic assessments and contingency planning efforts. This paper summarizes key research implications of such research as applied to Lincoln County, Nevada. Implications for other rural counties are discussed in light of the research findings. 29more » refs., 3 figs., 1 tab.« less

Estimating the Population Sizes of Men Who Have Sex With Men in US States and Counties Using Data From the American Community Survey

PubMed Central

Bernstein, Kyle T; Sullivan, Patrick S; Purcell, David W; Chesson, Harrell W; Gift, Thomas L; Rosenberg, Eli S

2016-01-01

Background In the United States, male-to-male sexual transmission accounts for the greatest number of new human immunodeficiency virus (HIV) diagnoses and a substantial number of sexually transmitted infections (STI) annually. However, the prevalence and annual incidence of HIV and other STIs among men who have sex with men (MSM) cannot be estimated in local contexts because demographic data on sexual behavior, particularly same-sex behavior, are not routinely collected by large-scale surveys that allow analysis at state, county, or finer levels, such as the US decennial census or the American Community Survey (ACS). Therefore, techniques for indirectly estimating population sizes of MSM are necessary to supply denominators for rates at various geographic levels. Objective Our objectives were to indirectly estimate MSM population sizes at the county level to incorporate recent data estimates and to aggregate county-level estimates to states and core-based statistical areas (CBSAs). Methods We used data from the ACS to calculate a weight for each county in the United States based on its relative proportion of households that were headed by a male who lived with a male partner, compared with the overall proportion among counties at the same level of urbanicity (ie, large central metropolitan county, large fringe metropolitan county, medium/small metropolitan county, or nonmetropolitan county). We then used this weight to adjust the urbanicity-stratified percentage of adult men who had sex with a man in the past year, according to estimates derived from the National Health and Nutrition Examination Survey (NHANES), for each county. We multiplied the weighted percentages by the number of adult men in each county to estimate its number of MSM, summing county-level estimates to create state- and CBSA-level estimates. Finally, we scaled our estimated MSM population sizes to a meta-analytic estimate of the percentage of US MSM in the past 5 years (3.9%). Results We found that the percentage of MSM among adult men ranged from 1.5% (Wyoming) to 6.0% (Rhode Island) among states. Over one-quarter of MSM in the United States resided in 1 of 13 counties. Among counties with over 300,000 residents, the five highest county-level percentages of MSM were San Francisco County, California at 18.5% (66,586/359,566); New York County, New York at 13.8% (87,556/635,847); Denver County, Colorado at 10.5% (25,465/243,002); Multnomah County, Oregon at 9.9% (28,949/292,450); and Suffolk County, Massachusetts at 9.1% (26,338/289,634). Although California (n=792,750) and Los Angeles County (n=251,521) had the largest MSM populations of states and counties, respectively, the New York City-Newark-Jersey City CBSA had the most MSM of all CBSAs (n=397,399). Conclusions We used a new method to generate small-area estimates of MSM populations, incorporating prior work, recent data, and urbanicity-specific parameters. We also used an imputation approach to estimate MSM in rural areas, where same-sex sexual behavior may be underreported. Our approach yielded estimates of MSM population sizes within states, counties, and metropolitan areas in the United States, which provide denominators for calculation of HIV and STI prevalence and incidence at those geographic levels. PMID:27227149

Estimating the Population Sizes of Men Who Have Sex With Men in US States and Counties Using Data From the American Community Survey.

PubMed

Grey, Jeremy A; Bernstein, Kyle T; Sullivan, Patrick S; Purcell, David W; Chesson, Harrell W; Gift, Thomas L; Rosenberg, Eli S

2016-01-01

In the United States, male-to-male sexual transmission accounts for the greatest number of new human immunodeficiency virus (HIV) diagnoses and a substantial number of sexually transmitted infections (STI) annually. However, the prevalence and annual incidence of HIV and other STIs among men who have sex with men (MSM) cannot be estimated in local contexts because demographic data on sexual behavior, particularly same-sex behavior, are not routinely collected by large-scale surveys that allow analysis at state, county, or finer levels, such as the US decennial census or the American Community Survey (ACS). Therefore, techniques for indirectly estimating population sizes of MSM are necessary to supply denominators for rates at various geographic levels. Our objectives were to indirectly estimate MSM population sizes at the county level to incorporate recent data estimates and to aggregate county-level estimates to states and core-based statistical areas (CBSAs). We used data from the ACS to calculate a weight for each county in the United States based on its relative proportion of households that were headed by a male who lived with a male partner, compared with the overall proportion among counties at the same level of urbanicity (ie, large central metropolitan county, large fringe metropolitan county, medium/small metropolitan county, or nonmetropolitan county). We then used this weight to adjust the urbanicity-stratified percentage of adult men who had sex with a man in the past year, according to estimates derived from the National Health and Nutrition Examination Survey (NHANES), for each county. We multiplied the weighted percentages by the number of adult men in each county to estimate its number of MSM, summing county-level estimates to create state- and CBSA-level estimates. Finally, we scaled our estimated MSM population sizes to a meta-analytic estimate of the percentage of US MSM in the past 5 years (3.9%). We found that the percentage of MSM among adult men ranged from 1.5% (Wyoming) to 6.0% (Rhode Island) among states. Over one-quarter of MSM in the United States resided in 1 of 13 counties. Among counties with over 300,000 residents, the five highest county-level percentages of MSM were San Francisco County, California at 18.5% (66,586/359,566); New York County, New York at 13.8% (87,556/635,847); Denver County, Colorado at 10.5% (25,465/243,002); Multnomah County, Oregon at 9.9% (28,949/292,450); and Suffolk County, Massachusetts at 9.1% (26,338/289,634). Although California (n=792,750) and Los Angeles County (n=251,521) had the largest MSM populations of states and counties, respectively, the New York City-Newark-Jersey City CBSA had the most MSM of all CBSAs (n=397,399). We used a new method to generate small-area estimates of MSM populations, incorporating prior work, recent data, and urbanicity-specific parameters. We also used an imputation approach to estimate MSM in rural areas, where same-sex sexual behavior may be underreported. Our approach yielded estimates of MSM population sizes within states, counties, and metropolitan areas in the United States, which provide denominators for calculation of HIV and STI prevalence and incidence at those geographic levels.

[Application of remote sensing and GIS in study of suitability distribution of Swertia mussotii, a Tibetan medicine in Sichuan province].

PubMed

Dong, Yong-Bo; Luo, Yao; Zhu, Cong; Peng, Wen-Fu; Xu, Xin-Liang; Fang, Qing-Mao

2017-11-01

Swertia mussotii is a kind of rare medicinal materials, the relevant researches are mainly concentrated on its medicinal efficacy and medicinal value till now, researches of adaptive distribution by applying remote sensing and GIS are relatively less. This study is to analyze the adaptive distribution of S.mussotii in Sichuan province by applying remote sensing and GIS technology, and provide scientific basis for the protection and development of wild resources, artificial cultivation and adjustment of Chinese medicine industrial distribution in Sichuan province. Based on literature review and ecological factors such as altitude, annual precipitation and annual average temperature, this study extracted ecological factors, overlay analysis in GIS, as well as combining GPS field validation data by means of remote sensing and GIS, discusses the adaptive distribution of SMF sin Sichuan province. ①The area of adaptive distribution of S. mussotii in Sichuan province is 1 543.749 km², mainly in Dege county, Ganzi county, Daofu county, Kangding county, Barkam, Jinchuan county, Xiaojin county, Danba county, Daocheng county, Xiangcheng county, Xinlong county, Aba county, Muli county and other counties and cities, accounts for about 7.25% in total area. ② Combining statistical information and field validation, this study found that S. mussotii adaptive distribution gained by remote sensing and GIS is in conformity with its actual distribution. The study shows that remote sensing and GIS technology are feasible to obtain the S. mussotii adaptive distribution, they can further be applied to studies on adaptive distributions of other rare Chinese medicinal herb. Copyright© by the Chinese Pharmaceutical Association.

Agreement between the Board of Trustees of the St. Clair County Community College of the County of St. Clair and the St. Clair County Community College District of the Michigan Association for Higher Education.

ERIC Educational Resources Information Center

Saint Clair County Community Coll., Port Huron, MI.

This agreement between the Board of Trustees of the St. Clair County Community College of the County of St. Clair and the St. Clair County Community College District of the Michigan Association for Higher Education covers the academic years 1972-74. Articles of the agreement cover recognition, association and instructor's rights, rights of the…

23. OUTLET PIPE EMBEDDED IN CONCRETE FOR THE HEAD GATE ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

23. OUTLET PIPE EMBEDDED IN CONCRETE FOR THE HEAD GATE SHOWN IN CO-43-A-22. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

3. 1939 DROP STRUCTURE IN DEL MAR PARK SURMOUNTED BY ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

3. 1939 DROP STRUCTURE IN DEL MAR PARK SURMOUNTED BY RECENT PEDESTRIAN BRIDGE. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

22. HEAD GATE IN THE NORTHEAST QUARTER OF SECTION 35; ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

22. HEAD GATE IN THE NORTHEAST QUARTER OF SECTION 35; NOTE CONTROL WHEEL. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

4. SEGMENT OF LATERAL WEST OF C STREET (SECTION 10) ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

4. SEGMENT OF LATERAL WEST OF C STREET (SECTION 10) ON THE ROCKY MOUNTAIN ARSENAL (RMA). - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

HAER COLO,1COMCI,2A (sheet 1 of 2) Highline Canal, Sand ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

HAER COLO,1-COMCI,2A- (sheet 1 of 2) - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

HAER COLO,1COMCI,2A (sheet 2 of 2) Highline Canal, Sand ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

HAER COLO,1-COMCI,2A- (sheet 2 of 2) - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

12. CONCRETE LINING ON A CURVING SEGMENT OF THE LATERAL ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

12. CONCRETE LINING ON A CURVING SEGMENT OF THE LATERAL NEAR THE NORTHEAST END OF LAKE LADORA (SECTION 2). - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

30. NORTHERN SEGMENT OF THE LATERAL IN THE NORTHWEST QUARTER ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

30. NORTHERN SEGMENT OF THE LATERAL IN THE NORTHWEST QUARTER OF SECTION 25 STRUCTURE PICTURED IN CO-43-A-28. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

24. CULVERT WITH CONCRETE HEADWALL AND SIDEWALLS CARRYING THE LATERAL ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

24. CULVERT WITH CONCRETE HEADWALL AND SIDEWALLS CARRYING THE LATERAL UNDER 8TH AVENUE. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

15. CONCRETE CHECK DAM NORTHWEST OF SOUTHEAST LAKE LADORA (SECTION ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

15. CONCRETE CHECK DAM NORTHWEST OF SOUTHEAST LAKE LADORA (SECTION 2) WITH THE FORMER EGLI FARM IN THE DISTANCE. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

19. OUTLET OF PIPE WITH A CONCRETE CHANNEL SERVING THE ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

19. OUTLET OF PIPE WITH A CONCRETE CHANNEL SERVING THE HEAD GATE SHOWN IN CO-43-A-18. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

17. DETAIL OF ONE OF THE HEAD GATES PICTURED IN ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

17. DETAIL OF ONE OF THE HEAD GATES PICTURED IN CO-43-A-16 (SECTION 35). - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

8. GENERAL VIEW OF LARGE DIVERSION STRUCTURE ON LATERAL WEST ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

8. GENERAL VIEW OF LARGE DIVERSION STRUCTURE ON LATERAL WEST OF LOWER DERBY LAKE (SECTION 2). - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

7. SEGMENT OF LATERAL WITH YUCCA ALONG BANKS, SOUTH OF ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

7. SEGMENT OF LATERAL WITH YUCCA ALONG BANKS, SOUTH OF 6TH AVENUE (SECTION 10). - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

11. CONTINUATION OF LATERAL LEAVING THE DIVERSION STRUCTURE WEST OF ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

11. CONTINUATION OF LATERAL LEAVING THE DIVERSION STRUCTURE WEST OF LOWER DERBY LAKE (SECTION 2), SHOWING MEASURING GAUGE. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

16. TWO HEAD GATES ABOUT 500 FEET NORTH OF 7TH ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

16. TWO HEAD GATES ABOUT 500 FEET NORTH OF 7TH AVENUE (SECTION 35). - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

21. OUTLET PIPE AND CONCRETE CHANNEL FOR THE HEAD GATE ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

21. OUTLET PIPE AND CONCRETE CHANNEL FOR THE HEAD GATE PICTURED IN CO-43-A-20. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

9. DETAIL OF DIVERSION STRUCTURE WEST OF DERBY LAKE (SECTION ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

9. DETAIL OF DIVERSION STRUCTURE WEST OF DERBY LAKE (SECTION 2) SHOWING DIVERSION GATE TO LAKE LADORA. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

10. CONCRETE DIVERSION CHANNEL EXTENDING TOWARD LAKE LADORA FROM THE ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

10. CONCRETE DIVERSION CHANNEL EXTENDING TOWARD LAKE LADORA FROM THE DIVERSION STRUCTURE WEST OF LOWER DERBY LAKE (SECTION 2). - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

75 FR 32653 - Standard Instrument Approach Procedures, and Takeoff Minimums and Obstacle Departure Procedures...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-06-09

... Giddings, TX, Giddings-Lee County, Takeoff Minimum and Obstacle DP, Orig Hebbronville, TX, Jim Hogg County, GPS RWY 13, Amdt 1A, CANCELLED Hebbronville, TX, Jim Hogg County, NDB RWY 13, Amdt 4 Hebbronville, TX, Jim Hogg County, RNAV (GPS) RWY 13, Orig Hebbronville, TX, Jim Hogg County, Takeoff Minimum and...

Sonoma County Office of Education Computer Education Plan. County Level Plans.

ERIC Educational Resources Information Center

Malone, Greg

1986-01-01

This plan describes the educational computing and computer literacy program to be implemented by the schools in Sonoma County, California. Topics covered include the roles, responsibilities, and procedures of the county-wide computer committee; the goals of computer education in the county schools; the results of a needs assessment study; a 3-year…

76 FR 64941 - Notice of Cancellation of Environmental Impact Statement for the Proposed Hyde County Wind Energy...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-10-19

... Environmental Impact Statement for the Proposed Hyde County Wind Energy Center Project, Hyde County, SD AGENCY... design, construct, operate, and maintain a 150-megawatt Hyde County Wind Energy Center Project (Project... terminated the NEPA process for NextEra's proposed Hyde County Wind Energy Center Project with the...

County Government in Georgia [And] Teacher's Manual for County Government in Georgia.

ERIC Educational Resources Information Center

Hepburn, Mary A.

The student textbook and the teacher's manual focus on the services, organization, and funding of county government in Georgia. Designed to be used over a three to six week period, the textbook is arranged into six chapters. Chapter one discusses county government, its services, and its structure. Chapter two focuses on county officials and their…

49 CFR 71.7 - Boundary line between central and mountain zones.

Code of Federal Regulations, 2011 CFR

2011-10-01

.... 30 W.; thence southerly along the range line to the north line of Thomas County; thence westerly along the north line of Thomas County to the west line of Thomas County; thence south along the west line of Thomas County to the north line of McPherson County; thence west along the north line of...

78 FR 44890 - Approval and Promulgation of Implementation Plans; North Carolina; Control Techniques Guidelines...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-07-25

... for the 1997 8- hour ozone NAAQS includes six full counties and one partial county in North Carolina; and one partial county in South Carolina. The North Carolina portion of the bi-state Charlotte Area... one full county and six partial counties in the bi-state Charlotte area as a marginal nonattainment...

County Library Service to Rural Schools. Bulletin, 1930, No. 20

ERIC Educational Resources Information Center

Lathrop, Edith A.

1930-01-01

An efficient county library contemplates maximum service for money expended. Situated at the county seat or at some other centrally located place within the county, its book stock is carried to every resident of the county through a system branches, stations, and school deposits, and the services of an automobile and the parcel post. A trained…

Child maltreatment in rural southern counties: Another perspective on race, poverty and child welfare.

PubMed

Smith, Brenda D; Kay, Emma Sophia; Pressley, Tracy D

2018-06-01

Building on research that has identified community characteristics associated with child maltreatment, this study investigates the adequacy and equity of the child welfare response at the county level. The study focuses on states in the U.S. south with demographic characteristics that make it possible to disentangle county racial composition from county rurality. County-level child maltreatment data were merged with data from the U.S. Census and other publicly-available sources for the 354 counties in four southern states. Results from multiple regression models indicated that, despite a greater preponderance of risk factors typically associated with child maltreatment, rural, majority African-American counties had lower rates of reported and substantiated child maltreatment compared to other southern counties. Cross-sectional results were consistent across three years: 2012, 2013, and 2014. The findings suggest that children and families in rural, majority African-American counties in the South may not be receiving adequate or equitable responses from the formal child welfare system. Copyright © 2018 Elsevier Ltd. All rights reserved.

Examining the relationship between the food environment and adult diabetes prevalence by county economic and racial composition: an ecological study.

PubMed

Haynes-Maslow, Lindsey; Leone, Lucia A

2017-08-09

Inequitable access to healthy food may contribute to health disparities. This study examines the relationship between the prevalence of adult diabetes and food access in the U.S. by county economic/racial composition. An ecological study from 2012 was used to estimate the relationship between diabetes and retail food outlet access. County diabetes prevalence was measured based on individual responses to the Behavioral Risk Factor Surveillance Survey question, "Have you ever been told by a doctor that you have diabetes?" If the answer was "yes" individuals were classified as having diabetes. Retail food outlets included grocery stores, supercenters, farmer's markets, full-service restaurants, fast food restaurants and convenience stores. Counties were categorized as "high-poverty" or "low-poverty". Counties were categorized as low (< 4.6%), medium (4.6%-31.0%), and high (> 31.0%) percent minority residents. Multiple linear regression models estimated the association between retail food outlets and diabetes, controlling for confounders, and testing for interactions between retail food outlets and county racial composition. Regression models were conditioned on county economic composition. Data were analyzed in 2016. Density of retail foods outlets varied greatly by county economic and racial composition; counties with medium-minority populations had the least access to grocery stores and the highest access to fast food restaurants and convenience stores. Low poverty/low-minority population counties had the greatest access to farmer's markets and grocery stores. For low poverty/low-minority counties, grocery stores were associated with decreased of diabetes prevalence. Supercenters were associated with an increase in diabetes prevalence for high-poverty/low-minority counties. Only low poverty/medium-minority counties had a statistically significant relationship between farmer's markets and diabetes prevalence. Fast food restaurants were found to be positively associated with diabetes prevalence in all counties except high poverty/medium-minority. However, only low poverty/low-minority counties had a statistically significant relationship. Across all models, access to full service restaurants were significantly associated with lower prevalence of diabetes. Generally, access to convenience stores were associated with increased diabetes prevalence, except for high poverty/low-minority counties. The food environment is more strongly associated with diabetes prevalence for wealthier counties with a lower proportion of minority residents. This is important given efforts to increase food access in vulnerable communities. Availability of healthier food may not be enough to change health outcomes.

Area Disadvantage and Intimate Partner Homicide: An Ecological Analysis of North Carolina Counties, 2004–2006

PubMed Central

Madkour, Aubrey Spriggs; Martin, Sandra L.; Halpern, Carolyn Tucker; Schoenbach, Victor J.

2009-01-01

Using data from the North Carolina Violent Death Reporting System and other sources, we examined ecologic relationships between county (n=100) disadvantage and intimate partner homicide (IPH), variability by victim gender and county urbanicity, and potential mediators. County disadvantage was related to female-victim homicide only in metropolitan counties (incidence rate ratio [IRR] 1.25); however, disadvantage was associated with male-victim IPH regardless of county urbanicity (IRR 1.17). None of the potential intervening variables examined (shelter availability, intimate partner violence services’ funding), was supported as a mediator. Results suggest disparities across North Carolina counties in IPH according to county disadvantage. Future research should explore other potential mediators (i.e., service accessibility and law enforcement responses), as well as test the robustness of findings using additional years of data. PMID:20565007

Geographical differences in whooping cough in Catalonia, Spain, from 1990 to 2010.

PubMed

Crespo, Inma; Soldevila, Núria; Muñoz, Pilar; Godoy, Pere; Carmona, Gloria; Domínguez, Angela

2014-03-20

Whooping cough is a communicable disease whose incidence has increased in recent years in some countries with vaccination. Since 1981, in Catalonia (Spain), cases must be reported to the Public Health Department. In 1997, surveillance changed from aggregated counts to individual report and the surveillance system was improved after 2002. Catalan public health is universal with equal coverage geographically. The aim of this study was to determine whether there are differences in whooping cough incidence in rural and urban counties. Cases in 1990-2010 were classified as rural or urban. Incidences and risk ratios (RR) between urban and rural counties and 95% CI were calculated. Associations between rural and urban counties and structural changes during the study period were analysed. Twelve years of the whole study period showed differences in incidence between rural and urban counties. The incidence was higher in urban counties in seven years and rural counties in five years. There was a positive association of whooping cough incidence in rural and urban counties in four-week periods. Structural changes were detected in the following four-week periods: 4th in 1993, 7th in 1996 and 3rd 2005 in rural counties and 5th 1993, 9th in 1996 and 8th in 2007 in urban counties. Differences in whooping cough between rural and urban counties were found. In most years, the incidence was higher in urban than in rural counties. Rural and urban counties show similar cyclic behaviour when four-week periods were considered.

A statewide investigation of geographic lung cancer incidence patterns and radon exposure in a low-smoking population.

PubMed

Ou, Judy Y; Fowler, Brynn; Ding, Qian; Kirchhoff, Anne C; Pappas, Lisa; Boucher, Kenneth; Akerley, Wallace; Wu, Yelena; Kaphingst, Kimberly; Harding, Garrett; Kepka, Deanna

2018-01-31

Lung cancer is the leading cause of cancer-related mortality in Utah despite having the nation's lowest smoking rate. Radon exposure and differences in lung cancer incidence between nonmetropolitan and metropolitan areas may explain this phenomenon. We compared smoking-adjusted lung cancer incidence rates between nonmetropolitan and metropolitan counties by predicted indoor radon level, sex, and cancer stage. We also compared lung cancer incidence by county classification between Utah and all SEER sites. SEER*Stat provided annual age-adjusted rates per 100,000 from 1991 to 2010 for each Utah county and all other SEER sites. County classification, stage, and sex were obtained from SEER*Stat. Smoking was obtained from Environmental Public Health Tracking estimates by Ortega et al. EPA provided low (< 2 pCi/L), moderate (2-4 pCi/L), and high (> 4 pCi/L) indoor radon levels for each county. Poisson models calculated overall, cancer stage, and sex-specific rates and p-values for smoking-adjusted and unadjusted models. LOESS smoothed trend lines compared incidence rates between Utah and all SEER sites by county classification. All metropolitan counties had moderate radon levels; 12 (63%) of the 19 nonmetropolitan counties had moderate predicted radon levels and 7 (37%) had high predicted radon levels. Lung cancer incidence rates were higher in nonmetropolitan counties than metropolitan counties (34.8 vs 29.7 per 100,000, respectively). Incidence of distant stage cancers was significantly higher in nonmetropolitan counties after controlling for smoking (16.7 vs 15.4, p = 0.02*). Incidence rates in metropolitan, moderate radon and nonmetropolitan, moderate radon counties were similar. Nonmetropolitan, high radon counties had a significantly higher incidence of lung cancer compared to nonmetropolitan, moderate radon counties after adjustment for smoking (41.7 vs 29.2, p < 0.0001*). Lung cancer incidence patterns in Utah were opposite of metropolitan/nonmetropolitan trends in other SEER sites. Lung cancer incidence and distant stage incidence rates were consistently higher in nonmetropolitan Utah counties than metropolitan counties, suggesting that limited access to preventative screenings may play a role in this disparity. Smoking-adjusted incidence rates in nonmetropolitan, high radon counties were significantly higher than moderate radon counties, suggesting that radon was also major contributor to lung cancer in these regions. National studies should account for geographic and environmental factors when examining nonmetropolitan/metropolitan differences in lung cancer.

Tourism impacts of Three Mile Island and other adverse events: Implications for Lincoln County and other rural counties bisected by radioactive wastes intended for Yucca Mountain

NASA Astrophysics Data System (ADS)

Himmelberger, Jeffery J.; Baughman, Mike; Ogneva-Himmelberger, Yelena A.

1995-11-01

Whether the proposed Yucca Mountain nuclear waste repository system will adversely impact tourism in southern Nevada is an open question of particular importance to visitor-oriented rural counties bisected by planned waste transportatin corridors (highway or rail). As part of one such county's repository impact assessment program, tourism implications of Three Mile Island (TMI) and other major hazard events have beem revisited to inform ongoing county-wide socioeconomic assessments and contingency planning efforts. This paper summarizes key research implications of such research as applied to Lincoln County, Nevada. Implications for other rural counties are discussed in light of the research findings.

County portraits of Washington State.

Treesearch

Wendy J. McGinnis; Richard H. Phillips; Terry L. Raettig; Kent P. Connaughton

1997-01-01

This publication provides a general picture of the population, economy, and natural resources of the counties in Washington State. The intent of this report is to provide insight to changes in a county over the last 10 to 20 years, to compare county trends to statewide trends (and state trends to national trends), and to provide information on all the counties in a...

The Economic Impact of Schenectady County Community College on Schenectady County, 1981-82.

ERIC Educational Resources Information Center

Chestnut, Erma Ruth

This report on the economic impact of Schenectady County Community College (SCCC) uses a modification of the Caffrey and Isaacs model to assess SCCC-related local business volume, SCCC costs and benefits to the Schenectady County government, and the likely impact on the county if SCCC did not exist. Part I provides background to the study,…

75 FR 82065 - Notice of Realty Action: Recreation and Public Purposes Act Classification, Clark County, NV

Federal Register 2010, 2011, 2012, 2013, 2014

2010-12-29

... Classification, Clark County, NV AGENCY: Bureau of Land Management, Interior. ACTION: Notice of Realty Action..., approximately 303.66 acres of public land in Clark County, Nevada. Clark County proposes to use the land for a... Executive Order No. 6910, the following described public land in Clark County, Nevada, has been examined and...

It's Not Over in the South: School Desegregation in Forty-Three Southern Cities Eighteen Years After Brown.

ERIC Educational Resources Information Center

American Friends Service Committee, Washington, DC.

The focus of this study on school desegregation is on 43 cities in the following areas: Bibb and Chatham Counties (Ga.); Orange, Duval, Hillsborough, and Pinellas Counties (Fla.); Cado, Quachita, East Baton Rouge, and Orleans Parishes (La.); and, Richland County District Number 1, Florence County District Number 1, and Orangeburg County District…

Strategy for Promoting the Equitable Development of Basic Education in Underdeveloped Counties as Seen from Cili County

ERIC Educational Resources Information Center

Shihua, Peng; Rihui, Tan

2009-01-01

Employing statistical analysis, this study has made a preliminary exploration of promoting the equitable development of basic education in underdeveloped counties through the case study of Cili county. The unequally developed basic education in the county has been made clear, the reasons for the inequitable education have been analyzed, and,…

Forest statistics for Chelan and Douglas Counties, Washington, 1959-60.

Treesearch

John W. Hazard

1963-01-01

This publication summarizes the results of the second forest inventory of Chelan and Douglas Counties, Washington. The collection of field data outside the National Forest was initiated in Chelan County in 1959, in Douglas County in 1960, and completed in both counties in 1960. National Forest resource data were collected during the period 1952 to 1958, and revised to...

Behavioral and community correlates of adolescent pregnancy and Chlamydia rates in rural counties in Minnesota.

PubMed

Kozhimannil, Katy B; Enns, Eva; Blauer-Peterson, Cori; Farris, Jill; Kahn, Judith; Kulasingam, Shalini

2015-06-01

Identifying co-occurring community risk factors, specific to rural communities, may suggest new strategies and partnerships for addressing sexual health issues among rural youth. We conducted an ecological analysis to identify the county-level correlates of pregnancy and chlamydia rates among adolescents in rural (nonmetropolitan) counties in Minnesota. Pregnancy and chlamydia infection rates among 15-19 year-old females were compared across Minnesota's 87 counties, stratified by rural/urban designations. Regression models for rural counties (n = 66) in Minnesota were developed based on publicly available, county-level information on behaviors and risk exposures to identify associations with teen pregnancy and chlamydia rates in rural settings. Adolescent pregnancy rates were higher in rural counties than in urban counties. Among rural counties, factors independently associated with elevated county-level rates of teen pregnancy included inconsistent contraceptive use by 12th-grade males, fewer 12th graders reporting feeling safe in their neighborhoods, more 9th graders reporting feeling overweight, fewer 12th graders reporting 30 min of physical activity daily, high county rates of single parenthood, and higher age-adjusted mortality (P < .05 for all associations). Factors associated with higher county level rates of chlamydia among rural counties were inconsistent condom use reported by 12th-grade males, more 12th graders reporting feeling overweight, and more 12th graders skipping school in the past month because they felt unsafe. This ecologic analysis suggests that programmatic approaches focusing on behavior change among male adolescents, self-esteem, and community health and safety may be complementary to interventions addressing teen sexual health in rural areas; such approaches warrant further study.

Behavioral and Community Correlates of Adolescent Pregnancy and Chlamydia Rates in Rural Counties in Minnesota1

PubMed Central

Kozhimannil, Katy B.; Enns, Eva; Blauer-Peterson, Cori; Farris, Jill; Kahn, Judith; Kulasingam, Shalini

2014-01-01

Purpose Identifying co-occurring community risk factors, specific to rural communities, may suggest new strategies and partnerships for addressing sexual health issues among rural youth. We conducted an ecological analysis to identify the county-level correlates of pregnancy and chlamydia rates among adolescents in rural (nonmetropolitan) counties in Minnesota. Methods Pregnancy and chlamydia infection rates among 15–19 year-old females were compared across Minnesota’s 87 counties, stratified by rural/urban designations. Regression models for rural counties (n=66) in Minnesota were developed based on publicly available, county-level information on behaviors and risk exposures to identify associations with teen pregnancy and chlamydia rates in rural settings. Findings Adolescent pregnancy rates were higher in rural counties than in urban counties. Among rural counties, factors independently associated with elevated county-level rates of teen pregnancy included inconsistent contraceptive use by 12th-grade males, fewer 12th graders reporting feeling safe in their neighborhoods, more 9th graders reporting feeling overweight, fewer 12th graders reporting 30 min of physical activity daily, high county rates of single parenthood, and higher age-adjusted mortality (P < .05 for all associations). Factors associated with higher county level rates of chlamydia among rural counties were inconsistent condom use reported by 12th-grade males, more 12th graders reporting feeling overweight, and more 12th graders skipping school in the past month because they felt unsafe. Conclusions This ecologic analysis suggests that programmatic approaches focusing on behavior change among male adolescents, self-esteem, and community health and safety may be complementary to interventions addressing teen sexual health in rural areas; such approaches warrant further study. PMID:25344773

77 FR 44649 - Florida; Amendment No. 3 to Notice of a Major Disaster Declaration

Federal Register 2010, 2011, 2012, 2013, 2014

2012-07-30

... declaration of July 3, 2012. Hillsborough and Taylor Counties for Individual Assistance. Manatee County for... Rosa, and Taylor Counties for Public Assistance. Bradford and Duval Counties for Public Assistance...

Effects of highway deicing chemicals on shallow unconsolidated aquifers in Ohio, interim report, 1988-93

USGS Publications Warehouse

Jones, A.L.; Sroka, B.N.

1997-01-01

Effects of the application of highway deicing chemicals during winter months on ground- water quality are being studied by the U.S. Geological Survey in cooperation with the Ohio Department of Transportation and the Federal Highway Administration. Eight sites throughout the State were selected along major undivided highways where drainage is by open ditches and ground-water flow is approximately perpendicular to the highway. At these sites, records of deicer application rates are being kept and apparent movement of deicing chemicals through shallow, unconsolidated aquifers is being monitored by means of periodic measurements of specific con ductance and concentrations of dissolved sodium, calcium, and chloride. The counties and corre sponding sections of state routes being monitored are the following: State Route (SR) 3 in Ashland County, SR 84 in Ashtabula County, SR 29 in Champaign County, SR 4 in Clark County, SR 2 in Lucas County, SR 104 in Pickaway County, SR 14 in Portage County, and SR 97 in Richland County. The study began in January 1988 with background data collection, extensive literature review, and site selection. This process, including drilling of wells at the eight selected sites, lasted 3 years. Routine ground-water sampling at 4- to 6-week intervals began in January 1991. A relatively new type of multilevel, passive flow ground-water sampling device was constructed and used. Other conditions monitored on a regular basis included ground-water level (monitored con tinuously), specific conductance, air and soil temperature, precipitation, chloride concentration in soil samples, ground conductivity, and deicing chemical application times and rates. For the interim reporting period, water samples were collected from January 1991 through September 1993. Evidence from water analysis, specific conductance measurements, and surface geophysical measurements indicates that four of the eight sites (Ashtabula County, Lucas County, Portage County, and Richland County sites) are potentially affected by direct application of deic ing chemicals. Climatic data from the period January 1991 through September 1993 show that cold weather, and therefore deicing chemical application rates, varied widely across the State. As a consequence, only minor traces of dissolved chloride above background concentrations (mean, 12-25 mg/L) were determined in ground-water samples from the Pickaway County, Clark County, and Champaign County sites. At the Ashland and Richland County sites, dissolved chlo ride concentrations increased above background concentrations (from the upgradient well, pre sumably unaffected by road salt) only intermittently (mean background concentrations of 3-25 mg/L, rising to a mean of 49-77 mg/L). For the interim reporting period, the mean dissolved chloride concentration for all downgradient wells was about 2 times the background concentra tion (25mg/L) at the Ashland County site (50 mg/L) and 14 times the background concentration (3 mg/L) at the Richland County site (40 mg/L). At the Lucas County, Portage County, and Ash tabula County sites, deicing-chemical application was consistent throughout the winter, and downgradient dissolved chloride concentrations rarely returned to background concentrations (mean 6-32 mg/L) throughout the period. For the interim reporting period, the mean dissolved chloride concentration for all downgradient wells was about 3 times the background concentra tion at the Lucas County site (92 mg/L), 72 times the background concentration at the Portage County site (432 mg/L, 2 downgradient wells), and 21 times the background concentration at the Ashtabula County site (279 mg/L). Other factors that may affect the movement of deicing chemicals through the aquifer were examined, such as precipitation amounts; the types of subsurface materials; ground-water velocity and gradient; hydraulic conductivity; soil type; land use; and ODOT deicing priority. A final report is planned for 2001 afte

A Cultural Resources Sample Survey in the Harlan County Lake Project Lands West of U.S. Highway 183 Harlan County, Nebraska

DTIC Science & Technology

1988-01-01

p ri r rnpy Harlan County LakeNebraska US Army Corps of Engineers Kansas City District American Resources Group, Ltd. 0’ Carbondale, Illinois A...Cultural Resources Sample Survey in the Harlan County Lake Project Lands West of U.S. Highway 183 Harlan County , Nebraska DTIC IELECTE ’-.... Author -D M...TI TLE (ad Subtitle) S. TYPE OF REPORT & PERIOD COVERED Final Report A Cultural Resources Sample Survey in the Harlan 1983-1984 County Lake Project

18. DETAIL OF HEAD GATE ABOUT 1,100 FEET NORTH OF ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

18. DETAIL OF HEAD GATE ABOUT 1,100 FEET NORTH OF 7TH AVENUE (SECTION 35), SHOWING CHANNEL IN WIHCH GATE WAS RAISED AND LOWERED. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

29. VIEW OF THE DIVERSION STRUCTURE PICTURED IN CO43A28 FROM ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

29. VIEW OF THE DIVERSION STRUCTURE PICTURED IN CO-43-A-28 FROM THE CHANNEL OF THE LATERAL, SHOWING THE UPSTREAM FACE OF THE STRUCTURE. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

27. DIVERSION STRUCTURE WITH CONCRETE SIDEWALLS AND CONCRETE CHANNEL BEYOND, ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

27. DIVERSION STRUCTURE WITH CONCRETE SIDEWALLS AND CONCRETE CHANNEL BEYOND, A SHORT DISTANCE WEST OF D STREET ABOUT ONE-QUARTER MILE SOUTH OF 9TH AVENUE (SECTION 26). - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

1. HEAD GATE OF THE SAND CREEK LATERAL AT THE ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

1. HEAD GATE OF THE SAND CREEK LATERAL AT THE HIGH LINE CANAL ON THE SOUTH END OF THE PEORIA STREET BRIDGE. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

Temperature, ozone, and mortality in urban and non-urban counties in the northeastern United States.

PubMed

Madrigano, Jaime; Jack, Darby; Anderson, G Brooke; Bell, Michelle L; Kinney, Patrick L

2015-01-07

Most health effects studies of ozone and temperature have been performed in urban areas, due to the available monitoring data. We used observed and interpolated data to examine temperature, ozone, and mortality in 91 urban and non-urban counties. Ozone measurements were extracted from the Environmental Protection Agency's Air Quality System. Meteorological data were supplied by the National Center for Atmospheric Research. Observed data were spatially interpolated to county centroids. Daily internal-cause mortality counts were obtained from the National Center for Health Statistics (1988-1999). A two-stage Bayesian hierarchical model was used to estimate each county's increase in mortality risk from temperature and ozone. We examined county-level associations according to population density and compared urban (≥1,000 persons/mile(2)) to non-urban (<1,000 persons/mile(2)) counties. Finally, we examined county-level characteristics that could explain variation in associations by county. A 10 ppb increase in ozone was associated with a 0.45% increase in mortality (95% PI: 0.08, 0.83) in urban counties, while this same increase in ozone was associated with a 0.73% increase (95% PI: 0.19, 1.26) in non-urban counties. An increase in temperature from 70°F to 90°F (21.2°C 32.2°C) was associated with a 8.88% increase in mortality (95% PI: 7.38, 10.41) in urban counties and a 8.08% increase (95% PI: 6.16, 10.05) in non-urban counties. County characteristics, such as population density, percentage of families living in poverty, and percentage of elderly residents, partially explained the variation in county-level associations. While most prior studies of ozone and temperature have been performed in urban areas, the impacts in non-urban areas are significant, and, for ozone, potentially greater. The health risks of increasing temperature and air pollution brought on by climate change are not limited to urban areas.

Challenges in responding to the ebola epidemic - four rural counties, Liberia, August-November 2014.

PubMed

Summers, Aimee; Nyenswah, Tolbert G; Montgomery, Joel M; Neatherlin, John; Tappero, Jordan W; T, Nyenswah; M, Fahnbulleh; M, Massaquoi

2014-12-19

The first cases of Ebola virus disease (Ebola) in West Africa were identified in Guinea on March 22, 2014. On March 30, the first Liberian case was identified in Foya Town, Lofa County, near the Guinean border. Because the majority of early cases occurred in Lofa and Montserrado counties, resources were concentrated in these counties during the first several months of the response, and these counties have seen signs of successful disease control. By October 2014, the epidemic had reached all 15 counties of Liberia. During August 27-September 10, 2014, CDC in collaboration with the Liberian Ministry of Health and Social Welfare assessed county Ebola response plans in four rural counties (Grand Cape Mount, Grand Bassa, Rivercess, and Sinoe, to identify county-specific challenges in executing their Ebola response plans, and to provide recommendations and training to enhance control efforts. Assessments were conducted through interviews with county health teams and health care providers and visits to health care facilities. At the time of assessment, county health teams reported lacking adequate training in core Ebola response strategies and reported facing many challenges because of poor transportation and communication networks. Development of communication and transportation network strategies for communities with limited access to roads and limited means of communication in addition to adequate training in Ebola response strategies is critical for successful management of Ebola in remote areas.

75 FR 8428 - The Indiana Rail Road Company-Abandonment Exemption-in Martin and Lawrence Counties, IN; CSX...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-02-24

... Community/Meeting Room of the Washington County Annex, 806 Martinsburg Road, Salem, IN. FOR FURTHER..., Lawrence County Tourism Commission Executive Director; Gene McCracken, Lawrence County Economic Growth...

Evaluation of Durisol Sound Wall

DOT National Transportation Integrated Search

2000-08-01

The purpose of this final report is to evaluate the durability of Durisol noise barriers constructed in Lehigh County, Lancaster County, and Delaware County. The noise barriers constructed in each of the three counties were manufactured by one of thr...

Successful practices in title III implementation. Chemical Emergency Preparedness and Prevention Technical Assistance Bulletin. Cameron County, Texas; Bucks County, Pennsylvania; Harford County, Maryland; Dallas County, Texas. Series 6, Number 7

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

This is another in a series of bulletins EPA is issuing to provide examples of implementation programs and strategies of the Emergency Planning and Community Right-to-Know Act of 1986, known as Title III, that are innovative or have proven effective. The purpose of these bulletins is to share information on successful practices with Local Emergency Planning Committees (LEPCs), State Emergency Response Commissions (SERCs), fire departments, and other Title III implementing agencies throughout the country in the hope that such information will prove useful to other SERCs and LEPCs as their programs develop and evolve. The bulletin discusses Title III implementationmore » for Cameron County in Texas, Bucks County in Pennsylvania, Harford County in Maryland, and Dallas County in Texas.« less

Expected indoor 222Rn levels in counties with very high and very low lung cancer rates.

PubMed

Cohen, B L

1989-12-01

Counties in the U.S. with high lung cancer rates should have higher average 222Rn levels than counties with low lung cancer rates, assuming the average 222Rn level in a county is not correlated with other factors that cause lung cancer. The magnitude of this effect was calculated, using the absolute risk model, the relative risk model, and an intermediate model, for females who died in 1950-1969. The results were similar for all three models. We concluded that, ignoring migration, the average Rn level in the highest lung cancer counties should be about three times higher than in the lowest lung cancer counties according to the theory. Preliminary data are presented indicating that the situation is quite the opposite: The average Rn level in the highest lung cancer counties was only about one-half that in the lowest lung cancer counties.

Alternative Fuels Data Center: DeKalb County Turns Trash to Gas

Science.gov Websites

DeKalb County Turns Trash to Gas to someone by E-mail Share Alternative Fuels Data Center: DeKalb County Turns Trash to Gas on Facebook Tweet about Alternative Fuels Data Center: DeKalb County Turns Trash to Gas on Twitter Bookmark Alternative Fuels Data Center: DeKalb County Turns Trash to Gas on

Program of Education for Community Coordination and Action in Warren County: What Kind of a County Do We Want Warren County To Be?

ERIC Educational Resources Information Center

Koontz, Donald H.; Wallerstedt, Jane

A program initiated by Simpson College and assisted by a committee of representatives from Warren County, Iowa, to assist the population of the County to understand their community and its problems and set priorities in meeting these problems is reported. Two hundred key leaders, representative of the geographic, educational, economic, religious,…

Problems Impacting Extension Program Quality at the County Level: Results from an Analysis of County Program Reviews Conducted in Florida

ERIC Educational Resources Information Center

Harder, Amy; Moore, Austen; Mazurkewicz, Melissa; Benge, Matt

2013-01-01

Needs assessments are an important tool for informing organizational development efforts in Extension. The purpose of the study reported here was to identify problems faced by county units within UF/IFAS Extension during county program reviews. The findings were drawn from the reports created after five county units experienced program reviews in…

Illinois Kids Count: A Snap Shot of Our Future. County by County Profiles of Child Well-Being '92.

ERIC Educational Resources Information Center

Voices for Illinois Children, Chicago.

This booklet presents statistics concerning the well-being of Illinois' 3.3 million children between 1980 and 1990. Statistics are compared county by county for each of the state's 102 counties, and statewide statistics are compared with those of the entire nation. A statewide analysis focuses on spending per pupil on education, the percentage of…

Association between community health center and rural health clinic presence and county-level hospitalization rates for ambulatory care sensitive conditions: an analysis across eight US states.

PubMed

Probst, Janice C; Laditka, James N; Laditka, Sarah B

2009-07-31

Federally qualified community health centers (CHCs) and rural health clinics (RHCs) are intended to provide access to care for vulnerable populations. While some research has explored the effects of CHCs on population health, little information exists regarding RHC effects. We sought to clarify the contribution that CHCs and RHCs may make to the accessibility of primary health care, as measured by county-level rates of hospitalization for ambulatory care sensitive (ACS) conditions. We conducted an ecologic analysis of the relationship between facility presence and county-level hospitalization rates, using 2002 discharge data from eight states within the US (579 counties). Counties were categorized by facility availability: CHC(s) only, RHC(s) only, both (CHC and RHC), and neither. US Agency for Healthcare Research and Quality definitions were used to identify ACS diagnoses. Discharge rates were based on the individual's county of residence and were obtained by dividing ACS hospitalizations by the relevant county population. We calculated ACS rates separately for children, working age adults, and older individuals, and for uninsured children and working age adults. To ensure stable rates, we excluded counties having fewer than 1,000 residents in the child or working age adult categories, or 500 residents among those 65 and older. Multivariate Poisson analysis was used to calculate adjusted rate ratios. Among working age adults, rate ratio (RR) comparing ACS hospitalization rates for CHC-only counties to those of counties with neither facility was 0.86 (95% Confidence Interval, CI, 0.78-0.95). Among older adults, the rate ratio for CHC-only counties compared to counties with neither facility was 0.84 (CI 0.81-0.87); for counties with both CHC and RHC present, the RR was 0.88 (CI 0.84-0.92). No CHC/RHC effects were found for children. No effects were found on estimated hospitalization rates among uninsured populations. Our results suggest that CHCs and RHCs may play a useful role in providing access to primary health care. Their presence in a county may help to limit the county's rate of hospitalization for ACS diagnoses, particularly among older people.

Geographical differences in whooping cough in Catalonia, Spain, from 1990 to 2010

PubMed Central

2014-01-01

Background Whooping cough is a communicable disease whose incidence has increased in recent years in some countries with vaccination. Since 1981, in Catalonia (Spain), cases must be reported to the Public Health Department. In 1997, surveillance changed from aggregated counts to individual report and the surveillance system was improved after 2002. Catalan public health is universal with equal coverage geographically. The aim of this study was to determine whether there are differences in whooping cough incidence in rural and urban counties. Methods Cases in 1990–2010 were classified as rural or urban. Incidences and risk ratios (RR) between urban and rural counties and 95% CI were calculated. Associations between rural and urban counties and structural changes during the study period were analysed. Results Twelve years of the whole study period showed differences in incidence between rural and urban counties. The incidence was higher in urban counties in seven years and rural counties in five years. There was a positive association of whooping cough incidence in rural and urban counties in four-week periods. Structural changes were detected in the following four-week periods: 4th in 1993, 7th in 1996 and 3rd 2005 in rural counties and 5th 1993, 9th in 1996 and 8th in 2007 in urban counties. Conclusions Differences in whooping cough between rural and urban counties were found. In most years, the incidence was higher in urban than in rural counties. Rural and urban counties show similar cyclic behaviour when four-week periods were considered. PMID:24649975

Nutrition-labeling regulation impacts on restaurant environments.

PubMed

Saelens, Brian E; Chan, Nadine L; Krieger, James; Nelson, Young; Boles, Myde; Colburn, Trina A; Glanz, Karen; Ta, Myduc L; Bruemmer, Barbara

2012-11-01

Recent attempts to improve the healthfulness of away-from-home eating include regulations requiring restaurants to post nutrition information. The impact of such regulations on restaurant environments is unknown. To examine changes in restaurant environments from before to after nutrition-labeling regulation in a newly regulated county versus a nonregulated county. Using the Nutrition Environment Measures Survey-Restaurant version audit, environments within the same quick-service chain restaurants were evaluated in King County (regulated) before and 6 and 18 months after regulation enforcement and in Multnomah County (nonregulated) restaurants over a 6-month period. Data were collected in 2008-2010 and analyses conducted in 2011. Overall availability of healthy options and facilitation of healthy eating did not increase differentially in King County versus Multnomah County restaurants aside from the substantial increase in onsite nutrition information posting in King County restaurants required by the new regulation. Barriers to healthful eating decreased in King County relative to Multnomah County restaurants, particularly in food-oriented establishments. King County restaurants demonstrated modest increases in signage that promotes healthy eating, although the frequency of such promotion remained low, and the availability of reduced portions decreased in these restaurants. The healthfulness of children's menus improved modestly over time, but not differentially by county. A restaurant nutrition-labeling regulation was accompanied by some, but not uniform, improvements in other aspects of restaurant environments in the regulated compared to the nonregulated county. Additional opportunities exist for improving the healthfulness of away-from-home eating beyond menu labeling. Copyright © 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Nutrition-Labeling Regulation Impacts on Restaurant Environments

PubMed Central

Saelens, Brian E.; Chan, Nadine; Krieger, James; Nelson, Young; Boles, Myde; Colburn, Trina; Glanz, Karen; Ta, Myduc; Bruemmer, Barbara

2012-01-01

Background Recent attempts to improve the healthfulness of away-from-home eating include regulations requiring restaurants to post nutrition information. The impact of such regulations on restaurant environments is unknown. Purpose To examine changes in restaurant environments from before to after nutrition-labeling regulation in a newly regulated county versus a nonregulated county. Methods Using the Nutrition Environment Measures Surveys–Restaurant version audit, environments within the same quick-service chain restaurants were evaluated in King County (regulated) before and 6 and 18 months after regulation enforcement and in Multnomah County (nonregulated) restaurants over a 6-month period. Data were collected in 2008–2010 and analyses conducted in 2011. Results Overall availability of healthy options and facilitation of healthy eating did not differentially increase in King County versus Multnomah County restaurants aside from the substantial increase in onsite nutrition information posting in King County restaurants required by the new regulation. Barriers to healthful eating decreased in King County relative to Multnomah County restaurants, particularly in food-oriented establishments. King County restaurants demonstrated modest increases in signage that promotes healthy eating, although the frequency of such promotion remained low, and the availability of reduced portions decreased in these restaurants. The healthfulness of children’s menus improved modestly over time, but not differentially by county. Conclusions A restaurant nutrition-labeling regulation was accompanied by some, but not uniform, improvements in other aspects of restaurant environments in the regulated compared to the nonregulated county. Additional opportunities exist for improving the healthfulness of awayfrom- home eating beyond menu labeling. PMID:23079173

County-level determinants of dental utilization for Medicaid-enrolled children with chronic conditions: How does place affect use?

PubMed Central

Chi, Donald L.; Leroux, Brian

2013-01-01

Little is known about how place affects childrens’ access to dental care. We analyzed data for 25,908 Iowa Medicaid-enrolled children with chronic conditions to identify the county-level determinants of dental utilization. Our analyses suggest that higher levels of poverty and designation as a dental health professional shortage area at the county-level are associated with lower probability of child-level dental use. There are significant interactions between child-level race/ethnicity and county-level poverty as well as between child-level disability and county-level unemployment. We present a new descriptive model on dental utilization that emphasizes county-level factors as well as interactions between county-level and child-level factors. PMID:22981229

76 FR 41755 - Eastern Arizona Counties Resource Advisory; Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2011-07-15

... DEPARTMENT OF AGRICULTURE Forest Service Eastern Arizona Counties Resource Advisory; Meeting AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Eastern Arizona Counties Resource... FURTHER INFORMATION CONTACT: Julia Faith Rivera, RAC Program Manager, Eastern Arizona Counties Resource...

40 CFR 81.333 - New York.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Designated area Designation Date 1 Type Classification Date 1 Type Albany-Schenectady-Troy Area: Albany... Date 1 Type Albany-Schenectady-Troy, NY: Albany County Nonattainment Subpart 1. Greene County.... Albany-Schenectady-Troy, NY: Albany County Unclassifiable/Attainment. Greene County Unclassifiable...

Home Health Care and Discharged Hospice Care Patients: United States, 2000 and 2007

MedlinePlus

... The area may include surrounding counties if strong economic ties exist between the counties, based on commuting ... may include surrounding counties if there are strong economic ties between the counties, based on commuting patterns. ...

Assessment of ebola virus disease, health care infrastructure, and preparedness - four counties,Southeastern Liberia, august 2014.

PubMed

Forrester, Joseph D; Pillai, Satish K; Beer, Karlyn D; Neatherlin, John; Massaquoi, Moses; Nyenswah, Tolbert G; Montgomery, Joel M; De Cock, Kevin

2014-10-10

Ebola virus disease (Ebola) is a multisystem disease caused by a virus of the genus Ebolavirus. In late March 2014, Ebola cases were described in Liberia, with epicenters in Lofa County and later in Montserrado County. While information about case burden and health care infrastructure was available for the two epicenters, little information was available about remote counties in southeastern Liberia. Over 9 days, August 6-14, 2014, Ebola case burden, health care infrastructure, and emergency preparedness were assessed in collaboration with the Liberian Ministry of Health and Social Welfare in four counties in southeastern Liberia: Grand Gedeh, Grand Kru, River Gee, and Maryland. Data were collected by health care facility visits to three of the four county referral hospitals and by unstructured interviews with county and district health officials, hospital administrators, physicians, nurses, physician assistants, and health educators in all four counties. Local burial practices were discussed with county officials, but no direct observation of burial practices was conducted. Basic information about Ebola surveillance and epidemiology, case investigation, contact tracing, case management, and infection control was provided to local officials.

Measuring county resilience after the 2008 Wenchuan earthquake

NASA Astrophysics Data System (ADS)

Li, X.; Lam, N.; Qiang, Y.; Li, K.; Yin, L.; Liu, S.; Zheng, W.

2015-01-01

The catastrophic earthquake in 2008 has caused serious damage to Wenchuan County and the surrounding area in China. In recent years, great attention has been paid to the resilience of the affected area. This study applied a new framework, the Resilience Inference Measurement (RIM) model, to quantify and validate the community resilience of 105 counties in the affected area. The RIM model uses cluster analysis to classify counties into four resilience levels according to the exposure, damage, and recovery conditions, and then applies discriminant analysis to quantify the influence of socioeconomic characteristics on the county resilience. The analysis results show that counties located right at the epicenter had the lowest resilience, but counties immediately adjacent to the epicenter had the highest resilience capacities. Counties that were farther away from the epicenter returned to normal resiliency. The socioeconomic variables, including sex ratio, per capita GDP, percent of ethnic minority, and medical facilities, were identified as the most influential socio-economic characteristics on resilience. This study provides useful information to improve county resilience to earthquakes and support decision-making for sustainable development.

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

The Weldon Spring DOE grantee, St. Charles County, is seeking an early renewal on the Weldon Spring Grant order to match the grant`s reporting calendar with the County`s fiscal calendar which is January through December. Therefore, this renewal application will cover five months time instead of 12 months. This notified annual overview bridges a two month period that precedes the appointment and activation of the Weldon Spring Citizens Commission in February 1995. In the original grant application the County described its intent to select a volunteer Citizens Oversight Commission to monitor the cleanup activities at the DOE`s Weldon Spring Site.more » This commission would serve at the County`s watchdog group by monitoring Weldon Spring Site activities and provide on-going communication to the County`s residents through publications and forums. The first eight months of the project involved setting up the project office and working with a three member {open_quotes}Section Panel/Work Group{close_quotes} to select the Citizen`s Commission. These activities were coordinated by a Project Director hired by the County and funded from the initial grant funds.« less

75 FR 18145 - Eastern Arizona Counties Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2010-04-09

... DEPARTMENT OF AGRICULTURE Forest Service Eastern Arizona Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Eastern Arizona Counties Resource... Rivera, Coordinator, Eastern Arizona Counties Resource Advisory Committee, c/o Forest Service, USDA, P.O...

76 FR 28210 - Eastern Arizona Counties Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2011-05-16

... DEPARTMENT OF AGRICULTURE Forest Service Eastern Arizona Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Eastern Arizona Counties will meet...: Julia Faith Rivera, RAC Program Manager, Eastern Arizona Counties Resource Advisory Committee, Apache...

76 FR 19970 - Madera County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2011-04-11

... DEPARTMENT OF AGRICULTURE Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be... assign project monitoring responsibilities for the remainder of the year. The Madera County Resource...

Bridge 232, view looking east in Rock Creek Canyon at ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

Bridge 23-2, view looking east in Rock Creek Canyon at Milepost 23.23 - Camas Prairie Railroad, Second Subdivision, From Spalding in Nez Perce County, through Lewis County, to Grangeville in Idaho County, Spalding, Nez Perce County, ID

78 FR 29657 - Prevailing Rate Systems; Definition of Vanderburgh County, Indiana, to a Nonappropriated Fund...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-21

...-AM82 Prevailing Rate Systems; Definition of Vanderburgh County, Indiana, to a Nonappropriated Fund... County, IN; and Jefferson and Pulaski Counties, MO. The Federal Prevailing Rate Advisory Committee, the... as follows: [[Page 29658

Airspace Analysis for Phase II of the Regional Airport Plan Update Program.

DTIC Science & Technology

1979-03-01

Base; and Hamilton, Sonoma County , and Napa County Airports) is comparable in terms of airspace capacity. Note that if the aircraft redistributed to the...Oakland ARTCC (Oakland Center) Napa County Airport Sonoma County Airport (at Santa Rosa) Stockton Approach Control Livermore Municipal Airport... Sonoma County Airport The ATC Tower located at these airports exercises control of aircraft within the Airport Traffic Areas. Rules of aircraft

75 FR 16068 - Opportunity for Designation in the Amarillo, TX; Cairo, IL; State of Louisiana; State of North...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-31

... Forestry (Louisiana); North Carolina Department of Agriculture (North Carolina); and D. R. Schaal Agency...), Franklin (north of County Road C55, County Road C25, and County Road C23 and west of U.S. Route 65, County..., Wright (north of State Route 3 and Interstate 35 and east of State Route 17 and U.S. Route 65) Counties...

Vision for the Year 2002: A Working Document. Salem County Board for Vocational Education Strategic Plan for the Salem County Vocational Technical Schools.

ERIC Educational Resources Information Center

Salem County Board for Vocational Education, Woodstown, NJ.

A strategic plan for vocational-technical education (VTE) in Salem County, New Jersey, in the year 2002 was developed by the county board of VTE and county advisory board with input from students, parents, employers, elected officials, and the community in general. Six strategic planning subcommittees were formed to review the district's VTE…

Wide Area Recovery and Resiliency Program (WARRP) Knowledge Enhancement Working Group: Multi-Agency Coordination After Action Report

DTIC Science & Technology

2012-02-23

Kaski Charles Denver Office of Emergency Management Kellar Scott Arapahoe County/NCR Coordinator Krebs Kathleen Clear Creek County Krugman Jim USDA...Mower John Cubic Applications, Inc. Mueller Matt Denver Office of Emergency Management Ridley Teri WARRP Rubenstein Mike Jefferson County...Office of Emergency Management: Scott Field Denver Office of Emergency Management: Pat Williams Douglas County: Fran Santagata Douglas County: Steve

Decomposing Mortality Disparities in Urban and Rural U.S. Counties.

PubMed

Spencer, Jennifer C; Wheeler, Stephanie B; Rotter, Jason S; Holmes, George M

2018-05-30

To understand the role of county characteristics in the growing divide between rural and urban mortality from 1980 to 2010. Age-adjusted mortality rates for all U.S. counties from 1980 to 2010 were obtained from the CDC Compressed Mortality File and combined with county characteristics from the U.S. Census Bureau, the Area Health Resources File, and the Inter-University Consortium for Political and Social research. We used Oaxaca-Blinder decomposition to assess the extent to which rural-urban mortality disparities are explained by observed county characteristics at each decade. Decomposition shows that, at each decade, differences in rural/urban characteristics are sufficient to explain differences in mortality. Furthermore, starting in 1990, rural counties have significantly lower predicted mortality than urban counties when given identical county characteristics. We find changes in the effect of characteristics on mortality, not the characteristics themselves, drive the growing mortality divide. Differences in economic and demographic characteristics between rural and urban counties largely explain the differences in age-adjusted mortality in any given year. Over time, the role these characteristics play in improving mortality has increased differentially for urban counties. As characteristics continue changing in importance as determinants of health, this divide may continue to widen. © Health Research and Educational Trust.

[Vulnerability of eco-economy in northern slope region of Tianshan Mountains].

PubMed

Wu, Jian-zhai; Li, Bo; Zhang, Xin-shi; Zhao, Wen-wu; Jiang, Guang-hui

2008-04-01

Based on the theoretical meaning of vulnerability, a vulnerability assessment of eco-econom in fifteen counties in the northern slope region of Tianshan Mountains was conducted. The ecosystem services change to land use was regarded as the impact, and based on the fourteen indices from resource holding, society development, and economy development statistic data, the adaptive ability was evaluated by using the methods of analytic hierarchy process (AHP) and fuzzy synthetic evaluation. On the basis of assessment results of impact and adaptive capacity, the fifteen counties were divided into five classes under the assessment principles, and the district with higher-class number was of more vulnerability. The first class included Usu City and Changji City, the second class included Hutubi County, Miquan County, Fukang City, Jimsar County, Qitai County and Mori Kazak Autonomous County, the third class included Karamay City and Urumqi City, the fourth class included Kuitun City and Shawan County, and the fifth class included Jinghe County, Shihezi City and Manas County. The vulnerability reflected the level of eco-environment change and socioeconomic development, and the vulnerability assessment could be a good way to ensure the sustainable development. Aiming to decrease the vulnerability, various districts belonging to different class of vulnerability should establish relevant tactics according to the vulnerability factors to accelerate the region's sustainable development.

Water-level altitudes 2017 and water-level changes in the Chicot, Evangeline, and Jasper Aquifers and compaction 1973–2016 in the Chicot and Evangeline Aquifers, Houston-Galveston region, Texas

USGS Publications Warehouse

Kasmarek, Mark C.; Ramage, Jason K.

2017-08-16

Most of the land-surface subsidence in the Houston-Galveston region, Texas, has occurred as a direct result of groundwater withdrawals for municipal supply, commercial and industrial use, and irrigation that depressured and dewatered the Chicot and Evangeline aquifers, thereby causing compaction of the aquifer sediments, mostly in the fine-grained silt and clay layers. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting water-level altitudes and water-level changes in the Chicot, Evangeline, and Jasper aquifers and measured cumulative compaction of subsurface sediments in the Chicot and Evangeline aquifers in the Houston-Galveston region. This report contains regional-scale maps depicting approximate 2017 water-level altitudes (represented by measurements made during December 2016 through March 2017) and long-term water-level changes for the Chicot, Evangeline, and Jasper aquifers; a map depicting locations of borehole-extensometer (hereinafter referred to as “extensometer”) sites; and graphs depicting measured long-term cumulative compaction of subsurface sediments at the extensometers during 1973–2016.In 2017, water-level-altitude contours for the Chicot aquifer ranged from 200 feet (ft) below the North American Vertical Datum of 1988 (hereinafter referred to as “datum”) in two localized areas in southwestern and northwestern Harris County to 200 ft above datum in west-central Montgomery County. The largest water-level-altitude decline (120 ft) depicted by the 1977–2017 water-level-change contours for the Chicot aquifer was in northwestern Harris County. A broad area where water-level altitudes declined in the Chicot aquifer extends from northwestern, north-central, and southwestern Harris County across parts of north-central, eastern, and south-central Fort Bend County into southeastern Waller County. Adjacent to the areas where water levels declined was a broad area where water levels rose in central, eastern, and southeastern Harris County, most of Galveston County, eastern and northernmost Brazoria County, and northeastern Fort Bend County. The largest rise (200 ft) in water-level altitudes in the Chicot aquifer from 1977 to 2017 was in southeastern Harris County.The water-level-altitude contours for the Evangeline aquifer in 2017 indicated two areas where the water-level altitudes were 250 ft below datum—one area extending from south-central Montgomery County into north-central Harris County and another area in western Harris County. Water-level altitudes in the Evangeline aquifer ranged from 50 to 200 ft below datum throughout most of Harris County in 2017. In Montgomery County, water-level altitudes in the Evangeline aquifer in 2017 ranged from the aforementioned area where they were 250 ft below datum to an area where they were 200 ft above datum in the northwestern part of the county. The 1977–2017 water-level-change contours for the Evangeline aquifer depict a broad area where water-level altitudes declined in north-central Harris and south-central Montgomery Counties, extending through north-central, northwestern, and southwestern Harris County into western Liberty, southeastern and northeastern Waller, and northeastern and east-central Fort Bend Counties. The largest water-level-altitude decline (280 ft) was in north-central Harris and south-central Montgomery Counties. Water-level altitudes rose in a broad area from central, east-central, and southern Harris County extending into the northernmost part of Brazoria County, the northernmost part of Galveston County, and the southwestern area of Liberty County. The largest rise in water-level altitudes in the Evangeline aquifer from 1977 to 2017 (240 ft) was in southeastern Harris County.Water-level-altitude contours for the Jasper aquifer in 2017 ranged from 200 ft below datum in three isolated areas of south-central Montgomery County (the westernmost of these areas extended slightly into north-central Harris County) to 250 ft above datum in extreme northwestern Montgomery County, northeastern Grimes County, and southwestern Walker County. The 2000–17 water-level-change contours for the Jasper aquifer depict water-level declines in a broad area throughout most of Montgomery County and in parts of Waller, Grimes, and Harris Counties, with the largest decline (220 ft) in an isolated area in south-central Montgomery County.Compaction of subsurface sediments (mostly in the fine-grained silt and clay layers) in the Chicot and Evangeline aquifers was recorded continuously by using 13 extensometers at 11 sites that were either activated or installed between 1973 and 1980. During the period of record beginning in 1973 (or later depending on activation or installation date) and ending in late November or December 2016, measured cumulative compaction at the 13 extensometers ranged from 0.096 ft at the Texas City-Moses Lake extensometer to 3.700 ft at the Addicks extensometer. From January through late November or December 2016, the Addicks, Lake Houston, Southwest, and Northeast extensometers recorded net decreases in land-surface elevation, but the Baytown C–1 (shallow), Baytown C–2 (deep), Clear Lake (shallow), Clear Lake (deep), East End, Johnson Space Center, Pasadena, Seabrook, and Texas City-Moses Lake extensometers recorded net increases in land-surface elevation.The rate of compaction varies from site to site because of differences in rates of groundwater withdrawal in the areas adjacent to each extensometer site; differences among sites in the ratios of sand, silt, and clay and their corresponding compressibilities; and previously established preconsolidation heads. It is not appropriate, therefore, to extrapolate or infer a rate of compaction for an adjacent area on the basis of the rate of compaction recorded by proximal extensometers.

Albemarle County road orders, 1783-1816.

DOT National Transportation Integrated Search

1975-01-01

During the early stages of the pilot study of Albemarle County it was necessary to examine and extract all the road orders for the counties from which Albemarle was formed, as well as the orders for Albemarle when it still contained the counties of A...

75 FR 31759 - Madera County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2010-06-04

... DEPARTMENT OF AGRICULTURE Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be... Road 225, North Fork, California 93643. Send written comments to Julie Roberts, Madera County Resource...

Bridge 231, view looking east at tunnel 5 in Rock ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

Bridge 23-1, view looking east at tunnel 5 in Rock Creek Canyon at Milepost 23.1 - Camas Prairie Railroad, Second Subdivision, From Spalding in Nez Perce County, through Lewis County, to Grangeville in Idaho County, Spalding, Nez Perce County, ID

A view over Rock Creek Canyon off Bridge 232 looking ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

A view over Rock Creek Canyon off Bridge 23-2 looking north at Milepost 23.26 - Camas Prairie Railroad, Second Subdivision, From Spalding in Nez Perce County, through Lewis County, to Grangeville in Idaho County, Spalding, Nez Perce County, ID

78 FR 55287 - Endangered Species Recovery Permit Applications

Federal Register 2010, 2011, 2012, 2013, 2014

2013-09-10

... requests a permit to take (harass by survey, capture, handle, and release) the California tiger salamander...) the California tiger salamander (Santa Barbara County DPS and Sonoma County DPS) (Ambystoma...) the California tiger salamander (Santa Barbara County DPS and Sonoma County DPS) (Ambystoma...

75 FR 4417 - Wind Cave National Park, Custer County, SD

Federal Register 2010, 2011, 2012, 2013, 2014

2010-01-27

... DEPARTMENT OF THE INTERIOR Wind Cave National Park, Custer County, SD AGENCY: National Park... Final Environmental Impact Statement, Wind Cave National Park, Custer County, South Dakota. SUMMARY... Management Plan and Final Environmental Impact Statement (Plan), Wind Cave National Park, Custer County...

77 FR 49779 - Big Horn County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-17

... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee... Big Horn County Weed and Pest Building, 4782 Highway 310, Greybull, Wyoming. Written comments about...

18 CFR 430.7 - Determination of protected areas and restriction on water use.

Code of Federal Regulations, 2011 CFR

2011-04-01

... located within the Delaware Basin: Townships Berks County Douglass, Hereford, Union. Bucks County..., Telford, Trumbauersville. Townships Chester County Birmingham, Charlestown, East Coventry, East Bradford.... Boroughs Elverson, Malvern, Phoenixville, Spring City, West Chester. Townships Lehigh County Lower Milford...

75 FR 11225 - Environmental Impact Statement; Lee and Collier Counties, Florida

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-10

... DEPARTMENT OF TRANSPORTATION Federal Highway Administration Environmental Impact Statement; Lee and Collier Counties, Florida AGENCY: Federal Highway Administration (FHWA), DOT. ACTION: Notice of...) for the proposed County Road 951 highway project in Lee and Collier Counties, Florida. This is formal...

Ten-Ecosystem Study. [Grand and Weld Counties, Colorado; Warren County, Pennsylvania; St. Louis County, Minnesota; Sandoval County, New Mexico; Kershaw County, South Carolina; Fort Yukon, Alaska; Grays Harbor County, Washington; and Washington County, Missouri.

NASA Technical Reports Server (NTRS)

Mazade, A. V. (Principal Investigator)

1981-01-01

Remote sensing methodology developed for the Nationwide Forestry Applications Program utilize computer data processing procedures for performing inventories from satellite imagery. The Ten-Ecosystem Study (TES) was developed to test the processing procedures in an intermediate-sized application study. The results of TES indicate that LANDSAT multispectral imagery and associated automatic data processing techniques can be used to distinguish softwood, hardwood, grassland, and water and make inventory of these classes with an accuracy of 70 percent or better. The technical problems encountered during the TES and the solutions and insights to these problems are discussed. The TES experience is useful in planning subsequent inventories utilizing remote sensing technology.

Ground-water levels in Huron County, Michigan, January 1995 through December 1995

USGS Publications Warehouse

Sweat, M.J.

1996-01-01

In 1990, the U.S. Geological Survey (USGS) completed a study of the hydrogeology of Huron County, Michigan (Sweat, 1991). In 1993, Huron County and the USGS entered into an agreement to continue collecting water levels at selected wells throughout Huron County. As part of the agreement, the USGS has provided training and instrumentation for County personnel to measure, on a quarterly basis, the depth to water below the land surface in selected wells. The agreement includes the operation of continuous water-level recorders installed on four wells in Bingham, Fairhaven, Grant and Lake Townships (fig. 1). County personnel make quarterly water-level measurements of 22 other wells. Once each year, County personnel are accompanied by USGS personnel who provide a quality assurance/quality control check of all measurements being made.

Construction Programs (C-1), Department of Defense Budget for Fiscal Year 1995

DTIC Science & Technology

1994-02-01

MICHIGAN AIR NATIONAL GUARD ALPENA COUNTY REGIONAL AIRPORT ADO TO AND ALTER TROOP QUARTERS 3.800 ALPENA COUNTY REGIONAL AIRPORT 3.800...34**MASSACHUSETTS 9.592 FAMILY HOUSING (5,135) MICHIGAN AIR NATIONAL GUARD ALPENA COUNTY REGIONAL AIRPORT UPGRADE WATER DISTRIBUTION SYSTEM 1.400 ALPENA COUNTY...RESEARCH CENTER FAMILY HOUSING (4.150) "*MASSACHUSETTS 6.100 FAMILY HOUSING (4.150) MICHIGAN AIR NATIONAL GUARD ALPENA COUNTY REGIONAL AIRPORT FIREMEN

Veterans Affairs: Data Needed to Help Improve Decisions Concerning Veterans’ Access to Burial Options

DTIC Science & Technology

2014-09-01

Comparison of Veteran Population Estimates for Humboldt County Using Proportional Distribution at the County Level and Census Tract Data 20 Figure 7...also areas where this methodology would overstate the veteran population that would be served in a specific area. For example, in Humboldt County...Veterans Cemeteries Figure 6: Comparison of Veteran Population Estimates for Humboldt County Using Proportional Distribution at the County Level and

Characterizing heterogeneity of disease incidence in a spatial hierarchy: a case study from a decade of observations of fusarium head blight of wheat.

PubMed

Kriss, A B; Paul, P A; Madden, L V

2012-09-01

A multilevel analysis of heterogeneity of disease incidence was conducted based on observations of Fusarium head blight (caused by Fusarium graminearum) in Ohio during the 2002-11 growing seasons. Sampling consisted of counting the number of diseased and healthy wheat spikes per 0.3 m of row at 10 sites (about 30 m apart) in a total of 67 to 159 sampled fields in 12 to 32 sampled counties per year. Incidence was then determined as the proportion of diseased spikes at each site. Spatial heterogeneity of incidence among counties, fields within counties, and sites within fields and counties was characterized by fitting a generalized linear mixed model to the data, using a complementary log-log link function, with the assumption that the disease status of spikes was binomially distributed conditional on the effects of county, field, and site. Based on the estimated variance terms, there was highly significant spatial heterogeneity among counties and among fields within counties each year; magnitude of the estimated variances was similar for counties and fields. The lowest level of heterogeneity was among sites within fields, and the site variance was either 0 or not significantly greater than 0 in 3 of the 10 years. Based on the variances, the intracluster correlation of disease status of spikes within sites indicated that spikes from the same site were somewhat more likely to share the same disease status relative to spikes from other sites, fields, or counties. The estimated best linear unbiased predictor (EBLUP) for each county was determined, showing large differences across the state in disease incidence (as represented by the link function of the estimated probability that a spike was diseased) but no consistency between years for the different counties. The effects of geographical location, corn and wheat acreage per county, and environmental conditions on the EBLUP for each county were not significant in the majority of years.

40 CFR 81.315 - Indiana.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Designation Date Type Indianapolis, IN 1 10-4-13 Nonattainment. Marion County (part) Wayne Township, Center Township, Perry Township Morgan County, IN 1 10-4-13 Nonattainment. Morgan County (part) Clay Township, Washington Township Southwest Indiana, IN 1 10-4-13 Nonattainment. Daviess County (part) Veale Township Pike...

75 FR 50987 - Madera County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2010-08-18

... DEPARTMENT OF AGRICULTURE Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be... expenditure of Payments to States Madera County Title II funds. DATES: The meetings will be held on August...

76 FR 66033 - Madera County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2011-10-25

... DEPARTMENT OF AGRICULTURE Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be... of 2000 (Pub. L.110-343) for expenditure of Payments to States Madera County Title II funds. DATES...

Tunnel 5, a view looking west at the east portal ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

Tunnel 5, a view looking west at the east portal from Bridge 23-2 at Milepost 23.26 - Camas Prairie Railroad, Second Subdivision, From Spalding in Nez Perce County, through Lewis County, to Grangeville in Idaho County, Spalding, Nez Perce County, ID

75 FR 71069 - Big Horn County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2010-11-22

... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee... held at the Big Horn County Weed and Pest Building, 4782 Highway 310, Greybull, Wyoming. Written...

77 FR 38246 - Revisions to the Arizona State Implementation Plan, Arizona Department of Environmental Quality...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-06-27

... the Arizona State Implementation Plan, Arizona Department of Environmental Quality, Maricopa County Air Quality Department, and Pima County Department of Environmental Quality AGENCY: Environmental... Department of Environmental Quality (ADEQ), Maricopa County Air Quality Department (MCAQD), and Pima County...

76 FR 7531 - Lake County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2011-02-10

... DEPARTMENT OF AGRICULTURE Forest Service Lake County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Lake County Resource Advisory Committee (RAC) will... meeting will be held at the Lake County Board of Supervisor's Chambers at 255 North Forbes Street...

75 FR 17897 - Lake County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2010-04-08

... DEPARTMENT OF AGRICULTURE Forest Service Lake County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Lake County Resource Advisory Committee (RAC) will... meeting will be held at the Lake County Board of Supervisor's Chambers at 255 North Forbes Street...

77 FR 57556 - Lake County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-18

... DEPARTMENT OF AGRICULTURE Forest Service Lake County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of Meeting. SUMMARY: The Lake County Resource Advisory Committee (RAC) will...: The meeting will be held at the Lake County Board of Supervisor's Chambers at 255 North Forbes Street...

40 CFR 81.71 - Rockford (Illinois)-Janesville-Beloit (Wisconsin) Interstate Air Quality Control Region.

Code of Federal Regulations, 2013 CFR

2013-07-01

... (Wisconsin) Interstate Air Quality Control Region. 81.71 Section 81.71 Protection of Environment... (Wisconsin) Interstate Air Quality Control Region. The Rockford (Illinois)-Janesville-Beloit (Wisconsin... County, Stephenson County, Winnebago County. In the State of Wisconsin: Rock County. ...

40 CFR 81.71 - Rockford (Illinois)-Janesville-Beloit (Wisconsin) Interstate Air Quality Control Region.

Code of Federal Regulations, 2011 CFR

2011-07-01

... (Wisconsin) Interstate Air Quality Control Region. 81.71 Section 81.71 Protection of Environment... (Wisconsin) Interstate Air Quality Control Region. The Rockford (Illinois)-Janesville-Beloit (Wisconsin... County, Stephenson County, Winnebago County. In the State of Wisconsin: Rock County. ...

40 CFR 81.71 - Rockford (Illinois)-Janesville-Beloit (Wisconsin) Interstate Air Quality Control Region.

Code of Federal Regulations, 2012 CFR

2012-07-01

... (Wisconsin) Interstate Air Quality Control Region. 81.71 Section 81.71 Protection of Environment... (Wisconsin) Interstate Air Quality Control Region. The Rockford (Illinois)-Janesville-Beloit (Wisconsin... County, Stephenson County, Winnebago County. In the State of Wisconsin: Rock County. ...

40 CFR 81.71 - Rockford (Illinois)-Janesville-Beloit (Wisconsin) Interstate Air Quality Control Region.

Code of Federal Regulations, 2010 CFR

2010-07-01

... (Wisconsin) Interstate Air Quality Control Region. 81.71 Section 81.71 Protection of Environment... (Wisconsin) Interstate Air Quality Control Region. The Rockford (Illinois)-Janesville-Beloit (Wisconsin... County, Stephenson County, Winnebago County. In the State of Wisconsin: Rock County. ...

40 CFR 81.71 - Rockford (Illinois)-Janesville-Beloit (Wisconsin) Interstate Air Quality Control Region.

Code of Federal Regulations, 2014 CFR

2014-07-01

... (Wisconsin) Interstate Air Quality Control Region. 81.71 Section 81.71 Protection of Environment... (Wisconsin) Interstate Air Quality Control Region. The Rockford (Illinois)-Janesville-Beloit (Wisconsin... County, Stephenson County, Winnebago County. In the State of Wisconsin: Rock County. ...

Passive samplers and community science in regional air quality measurement, education and communication.

PubMed

DeForest Hauser, Cindy; Buckley, Alexandra; Porter, Juliana

2015-08-01

Charlotte, in Mecklenburg County, North Carolina, was ranked in the top ten cities with the worst air quality for ozone in the United States by the American Lung Association from 2009 to 2011. Nearby counties that may experience similar air quality do not have state or county monitors. This study utilized NOx and ozone Ogawa passive samplers and community scientists to monitor air quality in five counties surrounding Charlotte and increase public engagement in air quality issues. Community scientists deployed samplers weekly at a residential site within each county. Samples were analyzed using spectrophotometry and ion chromatography. Elevated NOx concentrations were observed in four of the five counties relative to those with existing monitors. Ozone concentrations showed little county to county variation, except Iredell and Cabarrus which had higher concentrations than Rowan. Community involvement in this work led to an increase in local dissemination of the results, thus increasing air quality awareness. Copyright © 2014 Elsevier Ltd. All rights reserved.

Water levels and water quality in the Mississippi River Valley alluvial aquifer in eastern Arkansas, 2012

USGS Publications Warehouse

Schrader, Tony P.

2015-01-01

Water samples were collected in the summer of 2012 from142 wells completed in the alluvial aquifer and measured onsite for specific conductance, temperature, and pH. Samples were collected from 94 wells for dissolved chloride analysis. Specific conductance ranged from 91 microsiemens per centimeter at 25 degrees Celsius (μS/cm at 25 °C) in Drew County to 984 μS/cm at 25 °C in Monroe County. The mean specific conductance was 547 μS/cm at 25 °C. Temperature ranged from 18.1 degrees Celsius (°C) in Crittenden County to 22.4 °C in Prairie County. The mean temperature was 22.1 °C. The pH ranged from 8.3 in Randolph County to 6.2 in Drew County and had a median of 7.3. Dissolved chloride concentrations ranged from 3.34 milligrams per liter (mg/L) in Randolph County to 182 mg/L in Lincoln County. The mean chloride concentration was 27.6 mg/L.

Annual economic impacts of seasonal influenza on US counties: Spatial heterogeneity and patterns

PubMed Central

2012-01-01

Economic impacts of seasonal influenza vary across US counties, but little estimation has been conducted at the county level. This research computed annual economic costs of seasonal influenza for 3143 US counties based on Census 2010, identified inherent spatial patterns, and investigated cost-benefits of vaccination strategies. The computing model modified existing methods for national level estimation, and further emphasized spatial variations between counties, in terms of population size, age structure, influenza activity, and income level. Upon such a model, four vaccination strategies that prioritize different types of counties were simulated and their net returns were examined. The results indicate that the annual economic costs of influenza varied from $13.9 thousand to $957.5 million across US counties, with a median of $2.47 million. Prioritizing vaccines to counties with high influenza attack rates produces the lowest influenza cases and highest net returns. This research fills the current knowledge gap by downscaling the estimation to a county level, and adds spatial variability into studies of influenza economics and interventions. Compared to the national estimates, the presented statistics and maps will offer detailed guidance for local health agencies to fight against influenza. PMID:22594494

Cancer and noncancer mortality in populations living near uranium and vanadium mining and milling operations in Montrose County, Colorado, 1950-2000.

PubMed

Boice, John D; Mumma, Michael T; Blot, William J

2007-06-01

Mining and milling of uranium in Montrose County on the Western Slope of Colorado began in the early 1900s and continued until the early 1980s. To evaluate the possible impact of these activities on the health of communities living on the Colorado Plateau, mortality rates between 1950 and 2000 among Montrose County residents were compared to rates among residents in five similar counties in Colorado. Standardized mortality ratios (SMRs) were computed as the ratio of observed numbers of deaths in Montrose County to the expected numbers of deaths based on mortality rates in the general populations of Colorado and the United States. Relative risks (RRs) were computed as the ratio of the SMRs for Montrose County to the SMRs for the five comparison counties. Between 1950 and 2000, a total of 1,877 cancer deaths occurred in the population residing in Montrose County, compared with 1,903 expected based on general population rates for Colorado (SMR(CO) 0.99). There were 11,837 cancer deaths in the five comparison counties during the same 51-year period compared with 12,135 expected (SMR(CO) 0.98). There was no difference between the total cancer mortality rates in Montrose County and those in the comparison counties (RR = 1.01; 95% CI 0.96-1.06). Except for lung cancer among males (RR = 1.19; 95% CI 1.06-1.33), no statistically significant excesses were seen for any causes of death of a priori interest: cancers of the breast, kidney, liver, bone, or childhood cancer, leukemia, non-Hodgkin lymphoma, renal disease or nonmalignant respiratory disease. Lung cancer among females was decreased (RR = 0.83; 95% CI 0.67-1.02). The absence of elevated mortality rates of cancer in Montrose County over a period of 51 years suggests that the historical milling and mining operations did not adversely affect the health of Montrose County residents. Although descriptive correlation analyses such as this preclude definitive causal inferences, the increased lung cancer mortality seen among males but not females is most likely due to prior occupational exposure to radon and cigarette smoking among underground miners residing in Montrose County, consistent with previous cohort studies of Colorado miners and of residents of the town of Uravan in Montrose County.

Evaluation of a county enforcement program with a primary seat belt ordinance : St. Louis County, Missouri.

DOT National Transportation Integrated Search

2010-05-01

In March 2007, St. Louis County implemented a seat belt ordinance that allowed for traditional : enforcement procedures. In order to increase usage on St. Louis County roads, particularly on roadways : with fatal or disabling injury crashes, the St. ...

76 FR 6116 - Madera County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2011-02-03

... DEPARTMENT OF AGRICULTURE Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be...-Determination Act of 2000 (Pub. L. 110-343) for expenditure of Payments to States Madera County Title II funds...

76 FR 26240 - Big Horn County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2011-05-06

... words Big Horn County RAC in the subject line. Facsimilies may be sent to 307-674-2668. All comments... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee...

40 CFR 81.329 - Nevada.

Code of Federal Regulations, 2011 CFR

2011-07-01

... classified Better than national standards (Township Range): Clark County: Las Vegas Valley (212)(15-24S, 56... County refers to 27 hydrographic areas either entirely or partially located within Clark County as shown... (September 1971), excluding the two designated areas in Clark County specifically listed in the table. Nevada...

75 FR 19320 - Proposed Flood Elevation Determinations

Federal Register 2010, 2011, 2012, 2013, 2014

2010-04-14

... Incorporated Areas Basin 10, Stream 14 At the Franklin/Wake +306 +307 Unincorporated Areas of county boundary... Approximately 250 feet None +344 Unincorporated Areas of upstream of Keighlely Franklin County. Forest Drive.../Wake None +327 Unincorporated Areas of county boundary. Franklin County. Approximately 0.6 mile None...

75 FR 24944 - Adequacy Status of the Milwaukee-Racine, Door County, Manitowoc County, and Sheboygan County...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-06

... a State Implementation Plan (SIP) means that transportation activities will not produce new air... Ozone Redesignation and Maintenance Plans for Transportation Conformity Purposes AGENCY: Environmental... Sheboygan County, Wisconsin ozone nonattainment areas are adequate for use in transportation conformity...

An index to roads shown in the Albemarle County surveyors books, 1744-1853.

DOT National Transportation Integrated Search

1976-01-01

Albemarle County, formed from Goochland in 1744, is fortunate in having preserved in its records three volumes of surveys made by the surveyors of the county between 1744 and 1853. In a sense, Albemarle County's good fortune extends to several other ...

76 FR 30080 - Revisions to the California State Implementation Plan, Placer County Air Pollution Control...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-05-24

... the California State Implementation Plan, Placer County Air Pollution Control District and Ventura County Air Pollution Control District AGENCY: Environmental Protection Agency (EPA). ACTION: Proposed rule. SUMMARY: EPA is proposing to approve revisions to the Placer County Air Pollution Control...

76 FR 30025 - Revisions to the California State Implementation Plan, Placer County Air Pollution Control...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-05-24

... the California State Implementation Plan, Placer County Air Pollution Control District and Ventura County Air Pollution Control District AGENCY: Environmental Protection Agency (EPA). ACTION: Direct final... Pollution Control District (PCAPCD) and Ventura County Air Pollution Control District (VCAPCD) portion of...

75 FR 29268 - Proposed Flood Elevation Determinations

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-25

... the Owen County Courthouse, 100 North Thomas Street, Owenton, KY 40359. Trigg County, Kentucky, and... County. Route 116. Approximately 2.5 miles +839 +838 upstream of the confluence with Jenkins Branch... County. Approximately 0.9 mile None +944 upstream of Missouri Route DD. Jenkins Branch At the confluence...

40 CFR 62.7856 - Albuquerque/Bernalillo County Air Quality Control Board.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 40 Protection of Environment 9 2012-07-01 2012-07-01 false Albuquerque/Bernalillo County Air... Albuquerque/Bernalillo County Air Quality Control Board. (a) Identification of Plan. Albuquerque-Bernalillo County Municipal Solid Waste Landfill Designated Pollutant Plan, as adopted by the Albuquerque/Bernalillo...

40 CFR 62.7856 - Albuquerque/Bernalillo County Air Quality Control Board.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 40 Protection of Environment 9 2014-07-01 2014-07-01 false Albuquerque/Bernalillo County Air... Albuquerque/Bernalillo County Air Quality Control Board. (a) Identification of Plan. Albuquerque-Bernalillo County Municipal Solid Waste Landfill Designated Pollutant Plan, as adopted by the Albuquerque/Bernalillo...

40 CFR 62.7856 - Albuquerque/Bernalillo County Air Quality Control Board.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 40 Protection of Environment 9 2013-07-01 2013-07-01 false Albuquerque/Bernalillo County Air... Albuquerque/Bernalillo County Air Quality Control Board. (a) Identification of Plan. Albuquerque-Bernalillo County Municipal Solid Waste Landfill Designated Pollutant Plan, as adopted by the Albuquerque/Bernalillo...

70. MISSISSIPPI, LOWNDES CO., NORTHWEST CORNER MAP OF LOWNDES COUNTY, ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

70. MISSISSIPPI, LOWNDES CO., NORTHWEST CORNER MAP OF LOWNDES COUNTY, 1931 Detail of ROAD OF LOWNDES COUNTY, MISSISSIPPI, 1931 by C. L. wood, county engineer. Detail of section NW of Columbus (12 mi. N, 9 mi. W), including Plymouth, Waverly, Barton, Buttahatchie R. Orig. scale: 1 in. to 1 mi. Property of Helen (Mrs. Sam L.) Crawford, Hamilton, Ms. Sarcone Photography, Columbus, Ms., Sep 1978. - Bridges of the Upper Tombigbee River Valley, Columbus, Lowndes County, MS

71. MISSISSIPPI, LOWNDES CO. COLUMBUSSTEENS MAP OF LOWNDES COUNTY, 1931 ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

71. MISSISSIPPI, LOWNDES CO. COLUMBUS-STEENS MAP OF LOWNDES COUNTY, 1931 Detail of ROAD MAP OF LOWNDES COUNTY, MISSISSIPPI, 1931 by C. L. wood, county engineer. Orig. scale: I in. to I mi. Includes Columbus and area NE to steens. Extent: 12 mi. East-West, 9 mi. North-South. Property of Helen (Mrs. Sam L.) Crawford, Hamilton, Ms. Sarcone Photography, Columbus, Ms., Sep 1978. - Bridges of the Upper Tombigbee River Valley, Columbus, Lowndes County, MS

77 FR 73005 - Revisions to the California State Implementation Plan, Imperial County, Placer County, and...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-07

...EPA is proposing to approve revisions to the Imperial County Air Pollution Control District (ICAPCD), Placer County Air Pollution Control District (PCAPCD) and Ventura County Air Pollution Control District (PCAPCD) portions of the California State Implementation Plan (SIP). Under authority of the Clean Air Act as amended in 1990 (CAA or the Act), we are proposing to approve local rules that address emission statements for ICAPCD and PCAPCD and definitions for VCAPCD.

Ground-water data collected in the Missouri River Basin units in Kansas during 1953

USGS Publications Warehouse

Mason, B.J.

1954-01-01

Ground-water studies in the Missouri River basin were begun by the United States Geological Survey during the fall of 1945 as a part of a program for the development of the resources of the basin by the United States Bureau of Reclamation and other Federal Agencies. The studies of the ground-water resources in the part of Kansas that lies within the Missouri River basin have been coordinated with the cooperative program of ground water studies which were already being made in Kansas by the U. S. Geological Survey, the State Geological Survey of Kansas, the Division of Sanitation of the Kansas State Board of Health, and the Division of Water Resources of the Kansas State Board of Agriculture.Areas in which ground-water data have been and are being collected are the following: Almena unit in Norton and Phillips Counties; Bostwick unit in Jewell, Republic, and Cloud Counties; Cedar Bluff unit in Ellis, Rush, and Trego Counties; Glen Elder unit in Mitchell County; Kanopolis unit in Ellsworth, McPherson, and Saline Counties; Kirwin unit in Phillips, Smiths and Osborne Counties; St. Francis unit in Cheyenne County; Webster unit in Osborne County; and Wilson unit in Lincoln County. (See fig. 1.) Data relating to the Ladder Creek project in Greeley, Gove, Lane, Logan, Scott, Wallace, and Wichita Counties will be published later in a separate report.

After flow control: The steps taken by Dade County to ensure continued operation of its solid waste management system

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mauriello, P.J.; Ragbeer, D.

1997-12-01

In the wake of the U.S. Supreme Court decision in the Carbone vs. Clarkstown case striking down waste flow control as unconstitutional, Dade County, Florida, one of the most severely impacted communities in the nation, has managed to stabilize its waste stream and balance its solid waste department finances; although the road taken to restabilization has been a difficult one. At its peak in 1995, Dade County experienced an annual loss of solid waste in excess of 1,000,000 tons, or over 40 percent of the waste stream normally handled by the County. This diversion of waste was accompanied by amore » net revenue loss of $30 million per year. The County lost its ability to plan for future capacity needs, or to assure sufficient future waste flows to meet its put-or-pay obligation to the County`s Resources Recovery plant operator. The County`s solid waste management system bonds were downgraded by Moody`s Investors Service and Standard and Poors. With the help of a special solid waste management team, appointed by the County Manager, the department was able to rightsize its waste disposal operations to fit its reduced waste flows, stabilize its waste stream, and develop strategies to solve its long-term funding shortfall.« less

[Risk assessments and control strategies of plague in five key surveillance counties, Zhejiang province].

PubMed

Shi, Guoxiang; Ju, Cheng; Zhang, Rong; Zhang, Zheng; Sun, Jimin; Wang, Miaoruo; Zhang, Xiaohe; Ye, Xianming; Zhu, Zhihong; Xing, Jianguang; Liao, Xiaowei; Chen, Zhiping

2015-10-01

To analyze the epidemiology data on plague in five counties in Zhejiang province and to evaluate the risk of plague in theses areas. We selected five monitoring stations as a risk assessment (Qingyuan county, Longquan city, Yiwu city, Wencheng county, and Ruian city) in Zhejiang province where the plague epidemic more serious in the history. At least one constant site and 1-4 variable sites where plague occurred in history were selected for monitoring. We collected the five counties (cities) surveillance data of indoor rat density, indoor Rattus flavipectus density, the Xenopsylla cheopis index of rat, the Xenopsylla cheopis index of Rattus flavipectus in 1995-2014. Isolation of Yersinia pestis was conducted among 171,201 liver samples and F1 antibody were detected among 228,775 serum samples. Risk matrix, Borda count method, and Delphi approach were conducted to assess risk of the plague of five counties (cities) in Zhejiang province. Indoor rat density in Qingyuan county, Longquan city, Yiwu city, Wencheng county, Ruian city was 1.58%-5.50%, 1.13%-9.76%, 0.56%-3.67%, 2.83%-16.08%, 7.16%-15.96%, respectively; Indoor Rattus flavipectus density of five counties (cities) was 0.08%-2.23%, 0-2.02%, 0-0.54%, 0.71%-5.58%, 0.55%-4.92%, respectively. The Xenopsylla cheopis index of rat in Qingyuan county and Wencheng county was 0.011-0.500 and 0.015-0.227, respectively; The Xenopsylla cheopis index of Rattus flavipectus of Qingyuan county and Wencheng county was 0.119-3.412 and 0.100-1.430, respectively; Ruian City and Yiwu city cannot collected Xenopsylla cheopis, Long quan city only collected the Xenopsylla cheopis index of rat in the five years. Yersinia pestis were not isolated in five counties (cities).There were 3 Apodemus agrarius samples positive of plague F1 antibody test, in Longquan city and Yiwu city in 2005. Borda count method to assess the Longquan city, Yiwu (Borda point were both 321) plague risk was higher than three other regions; Delphi approach to evaluation five counties (cities) belong to the plague had a lower risk areas, according to the level of risk score (Pf) Longquan city and Yiwu (Pf was 0.314, 0.292, respectively) plague risk were higher than three other regions (Pf were all 0.292). The main host and media were lower in five key plague surveillance counties (cities) of Zhejiang province; The result of Borda count method and Delphi approach for risk assessment indicated that endogenous plague recrudescence was at lower level, but Longquan city and Yiwu city risk were higher than other counties (cities).

US County-Level Trends in Mortality Rates for Major Causes of Death, 1980-2014.

PubMed

Dwyer-Lindgren, Laura; Bertozzi-Villa, Amelia; Stubbs, Rebecca W; Morozoff, Chloe; Kutz, Michael J; Huynh, Chantal; Barber, Ryan M; Shackelford, Katya A; Mackenbach, Johan P; van Lenthe, Frank J; Flaxman, Abraham D; Naghavi, Mohsen; Mokdad, Ali H; Murray, Christopher J L

2016-12-13

County-level patterns in mortality rates by cause have not been systematically described but are potentially useful for public health officials, clinicians, and researchers seeking to improve health and reduce geographic disparities. To demonstrate the use of a novel method for county-level estimation and to estimate annual mortality rates by US county for 21 mutually exclusive causes of death from 1980 through 2014. Redistribution methods for garbage codes (implausible or insufficiently specific cause of death codes) and small area estimation methods (statistical methods for estimating rates in small subpopulations) were applied to death registration data from the National Vital Statistics System to estimate annual county-level mortality rates for 21 causes of death. These estimates were raked (scaled along multiple dimensions) to ensure consistency between causes and with existing national-level estimates. Geographic patterns in the age-standardized mortality rates in 2014 and in the change in the age-standardized mortality rates between 1980 and 2014 for the 10 highest-burden causes were determined. County of residence. Cause-specific age-standardized mortality rates. A total of 80 412 524 deaths were recorded from January 1, 1980, through December 31, 2014, in the United States. Of these, 19.4 million deaths were assigned garbage codes. Mortality rates were analyzed for 3110 counties or groups of counties. Large between-county disparities were evident for every cause, with the gap in age-standardized mortality rates between counties in the 90th and 10th percentiles varying from 14.0 deaths per 100 000 population (cirrhosis and chronic liver diseases) to 147.0 deaths per 100 000 population (cardiovascular diseases). Geographic regions with elevated mortality rates differed among causes: for example, cardiovascular disease mortality tended to be highest along the southern half of the Mississippi River, while mortality rates from self-harm and interpersonal violence were elevated in southwestern counties, and mortality rates from chronic respiratory disease were highest in counties in eastern Kentucky and western West Virginia. Counties also varied widely in terms of the change in cause-specific mortality rates between 1980 and 2014. For most causes (eg, neoplasms, neurological disorders, and self-harm and interpersonal violence), both increases and decreases in county-level mortality rates were observed. In this analysis of US cause-specific county-level mortality rates from 1980 through 2014, there were large between-county differences for every cause of death, although geographic patterns varied substantially by cause of death. The approach to county-level analyses with small area models used in this study has the potential to provide novel insights into US disease-specific mortality time trends and their differences across geographic regions.

Effects of highway deicing chemicals on shallow unconsolidated aquifers in Ohio--final report

USGS Publications Warehouse

Kunze, Allison E.; Sroka, Bernard N.

2004-01-01

As a result of concerns about salt intrusion into drinking water aquifers, the effects of highway deicing chemicals on shallow aquifers were studied at eight locations in Ohio from 1988 through 2002. The study was done by the U.S. Geological Survey, in cooperation with the Ohio Department of Transportation and the Federal Highway Administration. Sites were selected along major undivided highways where drainage is by open ditches and ground-water flow is approximately perpendicular to the highway. Records of deicer application rates were kept, and apparent movement of deicing chemicals through shallow, unconsolidated aquifers was monitored by means of periodic measurements of specific conductance and concentrations of dissolved sodium, calcium, and chloride. The State routes monitored were the following: State Route (SR) 3 in Ashland County, SR 84 in Ashtabula County, SR 29 in Champaign County, SR 4 in Clark County, SR 2 in Lucas County, SR 104 in Pickaway County, SR 14 in Portage County, and SR 97 in Richland County. The study began in 1988 with background data collection, extensive literature review, and site selection. This process, including drilling of wells at numerous test sites and the eight selected sites, lasted 3 years. Routine groundwater sampling at 4- to 6-week intervals began in January 1991 and continued through September 1999. A multilevel, passive flow ground-water sampling device was constructed and used. Other conditions monitored on a regular basis included ground-water level (monitored continuously), specific conductance, air and soil temperature, precipitation,chloride concentration in soil samples, and deicing-chemical application times and rates. Evidence from water analysis, specific-conductance measurements, and surface-geophysical measurements indicates that three of the eight sites (Ashtabula County, Lucas County, and Portage County sites) were affected by direct application of deicing chemicals. Climatic data collected during the study show that cold weather, and therefore deicing-chemical application rates, varied from south to north across the State. As a consequence, only minor traces of dissolved chloride (mean, 2443 mg/L (milligrams per liter)) above background concentrations (mean, 1323 mg/L) were determined in ground-water samples from the southernmost sites (approximately 39?30' to 40? N latitudeChampaign County, Clark County, and Pickaway County). At the Ashland and Richland County sites (approximately 40?30' N latitude), dissolved-chloride concentrations increased above background concentrations only intermittently (mean background concentrations 441 mg/L, rising to a mean of 4056 mg/L in downgradient wells). At the northernmost sites (41? 30' to 42? N latitudeLucas County, Portage County, and Ashtabula County), deicing-chemical application was consistent throughout the winter, and downgradient dissolved-chloride concentrations (mean, 124345 mg/L) rarely returned to background concentrations (mean, 737 mg/L) throughout the study period. Other factors than application rate that may affect the movement of deicing chemicals through an aquifer were precipitation amounts, the types of subsurface materials, ground-water velocity and gradient, hydraulic conductivity, soil type, land use, and Ohio Department of Transportation deicing priority.

Associations Between County Wealth, Health and Social Services Spending, and Health Outcomes.

PubMed

McCullough, J Mac; Leider, Jonathon P

2017-11-01

Each year, the County Health Rankings rate the health outcomes of each county in the U.S. A common refrain is that poor counties perform worse than wealthier ones. This article examines that assumption and specifically analyzes characteristics of counties that have performed better in terms of health outcomes than their wealth alone would suggest. Data from the 2013 County Health Rankings were used, as were 2012 financial and demographic information collected by the U.S. Census Bureau. A logistic model was constructed to examine the odds of a county "overperforming" in the rankings relative to community wealth. Analyses were performed in 2016. Communities that were wealthier performed better on the rankings. However, more than 800 of 3,141 counties overperformed by ranking in a better health outcomes quartile than their county's wealth alone would suggest. Regression analyses found that for each additional percentage point of total public spending that was allocated toward community health care and public health, the odds of being an overperformer increased by 3.7%. Community wealth correlates with health, but not always. Population health outcomes in hundreds of counties overperform what would be expected given community wealth alone. These counties tend to invest more in community health care and public health spending and other social services. Although the level of a community's wealth is outside the control of practitioners, shifting the proportion of spending to certain social services may positively impact population health. Copyright © 2017 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Variation in prostate cancer treatment associated with population density of the county of residence.

PubMed

Cary, C; Odisho, A Y; Cooperberg, M R

2016-06-01

We sought to assess variation in the primary treatment of prostate cancer by examining the effect of population density of the county of residence on treatment for clinically localized prostate cancer and quantify variation in primary treatment attributable to the county and state level. A total 138 226 men with clinically localized prostate cancer in the Surveillance, Epidemiology and End Result (SEER) database in 2005 through 2008 were analyzed. The main association of interest was between prostate cancer treatment and population density using multilevel hierarchical logit models while accounting for the random effects of counties nested within SEER regions. To quantify the effect of county and SEER region on individual treatment, the percent of total variance in treatment attributable to county of residence and SEER site was estimated with residual intraclass correlation coefficients. Men with localized prostate cancer in metropolitan counties had 23% higher odds of being treated with surgery or radiation compared with men in rural counties, controlling for number of urologists per county as well as clinical and sociodemographic characteristics. Three percent (95% confidence interval (CI): 1.2-6.2%) of the total variation in treatment was attributable to SEER site, while 6% (95% CI: 4.3-9.0%) of variation was attributable to county of residence, adjusting for clinical and sociodemographic characteristics. Variation in treatment for localized prostate cancer exists for men living in different population-dense counties of the country. These findings highlight the importance of comparative effectiveness research to improve understanding of this variation and lead to a reduction in unwarranted variation.

Exploring geographic variation in US mortality rates using a spatial Durbin approach

PubMed Central

Yang, Tse-Chuan; Noah, Aggie; Shoff, Carla

2015-01-01

Previous studies focused on identifying the determinants of mortality in US counties have examined the relationships between mortality and explanatory covariates within a county only, and have ignored the well-documented spatial dependence of mortality. We challenge earlier literature by arguing that the mortality rate of a certain county may also be associated with the features of its neighboring counties beyond its own features. Drawing from both the spillover (i.e., same direction effect) and social relativity (i.e., opposite direction effect) perspectives, our spatial Durbin modeling results indicate that both theoretical perspectives provide valuable frameworks to guide the modeling of mortality variation in US counties. Our empirical findings support that mortality rate of a certain county is associated with the features of its neighbors beyond its own features. Specifically, we found support for the spillover perspective in which the percentage of the Hispanic population, concentrated disadvantage, and the social capital of a specific county are negatively associated with the mortality rate in the specific county and also in neighboring counties. On the other hand, the following covariates fit the social relativity process: health insurance coverage, percentage of non-Hispanic other races, and income inequality. Their direction of the associations with mortality in the specific county is opposite to that of the relationships with mortality in neighboring counties. Methodologically, spatial Durbin modeling addresses the shortcomings of traditional analytic approaches used in ecological mortality research such as ordinary least squares, spatial error, and spatial lag regression. Our results produce new insights drawn from unbiased estimates. PMID:25642156

Impact of managed care on cancer trial enrollment.

PubMed

Gross, C P; Krumholz, H M

2005-06-01

To determine the relationship between managed care market activity and cancer trial enrollment. Trial participant data were obtained from the National Cancer Institute. Participants in cooperative group trials of breast, colorectal, lung, or prostate cancer during the years 1996 through 2001 were assigned to counties based on their zip code of residence. Linear regression was used to determine the relationship between county enrollment rate and two measures of county managed care activity (penetration and index of competition [IOC]), adjusting for other county characteristics. In bivariate analysis, there was a strong inverse correlation between trial enrollment rate and IOC (r = -0.23; P < .001) as well as the proportion of the population uninsured (-0.31; P < .001) and the percentage below poverty (-0.16; P < .001). In the multivariate model, greater county managed care competition (IOC) was inversely related to trial enrollment rate (P < .008 for comparison of each quartile v lowest quartile) after accounting for managed care penetration, proportion uninsured, and other county characteristics. Counties in the lowest quartile of managed care penetration tended to have lower enrollment rates than the remaining counties (r = -0.05; P = .048), while counties in the second, third, and fourth quartiles of penetration all had similar enrollment rates to one another. Cancer trial enrollment rates were suboptimal across all counties, and counties with higher levels of managed care competition had significantly lower enrollment rates. The relationship between managed care penetration and trial enrollment was less consistent. Future efforts to enhance trial participation should address the potential negative influence of market factors.

75 FR 13297 - Southeastern Lincoln County Habitat Conservation Plan, Lincoln County, NV

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-19

... development), flood control activities (within the City of Caliente), maintenance of Lincoln County roads and... library locations: (1) Clark County Library, 1401 E. Flamingo Road, Las Vegas, NV 89119; (702) 507-3400...- administered land. Proposed covered activities include: (1) Planned land development and maintenance activities...

75 FR 51841 - Notice of Realty Action: Proposed sale of Public Lands, Churchill County, NV

Federal Register 2010, 2011, 2012, 2013, 2014

2010-08-23

... Lands, Churchill County, NV AGENCY: Bureau of Land Management, Interior. ACTION: Notice of realty action... value, approximately 800 acres of public lands in Churchill County, Nevada, through direct [email protected] . SUPPLEMENTARY INFORMATION: The following described public lands in Churchill County...

78 FR 65370 - Notice of Inventory Completion: Pima County Office of the Medical Examiner, Tucson, AZ

Federal Register 2010, 2011, 2012, 2013, 2014

2013-10-31

... Office for forensic analysis. The Pinal County Medical Examiner, Dr Rebecca Hsu, transferred the remains... were transferred to Pinal County Medical Examiner's Office for forensic analysis. The Pinal County.... Bruce Anderson, Forensic Anthropologist, PCOME, Tucson, AZ 85714, telephone (520) 243-8600...

Superfund Record of Decision (EPA Region 7): Cherokee County (Baxter Springs and Treece Subsites), Operable Unit 3/4, Cherokee County, KS, August 20, 1997

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

1997-11-01

This decision document presents the selected remedial action for the mining and milling wastes at the Baxter Springs and Treece subsites, which are part of the Cherokee County Superfund Site in Cherokee County, Kansas.

75 FR 39365 - Revisions to the California State Implementation Plan, Imperial County Air Pollution Control...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-07-08

... Implementation Plan, Imperial County Air Pollution Control District; Final Rule #0;#0;Federal Register / Vol. 75... Implementation Plan, Imperial County Air Pollution Control District AGENCY: Environmental Protection Agency (EPA... the Imperial County Air Pollution Control District (ICAPCD or the District) portion of the California...

7 CFR 714.43 - Recommendation by county committee.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 7 2011-01-01 2011-01-01 false Recommendation by county committee. 714.43 Section 714... PENALTIES ERRONEOUSLY, ILLEGALLY, OR WRONGFULLY COLLECTED § 714.43 Recommendation by county committee.... After the recommendation of approval or disapproval is made by the county committee, the claim shall be...

7 CFR 714.43 - Recommendation by county committee.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 7 2010-01-01 2010-01-01 false Recommendation by county committee. 714.43 Section 714... PENALTIES ERRONEOUSLY, ILLEGALLY, OR WRONGFULLY COLLECTED § 714.43 Recommendation by county committee.... After the recommendation of approval or disapproval is made by the county committee, the claim shall be...

76 FR 12316 - Madera County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-07

... DEPARTMENT OF AGRICULTURE Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be... Madera County Title II funds. DATES: The meetings will be held on March 9th, and March 16th, 2011 from 6...

77 FR 12830 - Pershing County Water Conservation District; Notice of Intent To File License Application, Filing...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-03-02

... Water Conservation District; Notice of Intent To File License Application, Filing of Pre-Application.... Submitted by: Pershing County Water Conservation District (Pershing County). e. Name of Project: Humboldt... the Commission's regulations. h. Potential Applicant Contact: Bennie Hodges, Pershing County Water...

Hurricane exposure and county fetal death rates, utilization of a county environmental quality index for confounding control.

EPA Science Inventory

The effects of natural disasters on public health are a rising concern, with increasing severity of disaster events. Many disaster studies utilize county-level analysis, however most do not control for county level environmental factors. Hurricane exposure during pregnancy could ...

Operations Under the Airport and Airway Development Act of 1970.

DTIC Science & Technology

1980-01-01

Orange County Air (ANCLUC). John Wayne Airport Ar taeer 74,a25 (Orange county)rri Santa Rosa General Airport Master Plan. Sonoma county Aviation...Rosa 08 $ 152,095 Reconstruct and mark taxiways; Sonoma County drainage; relocate taxiway lighting. South Lake Tahoe 05 199,460 Acquire crash/fire

75 FR 60137 - National Register of Historic Places; Notification of Pending Nominations and Related Actions

Federal Register 2010, 2011, 2012, 2013, 2014

2010-09-29

... Leon County Woman's Working Band House, 648 W Brevard St, Tallahassee, 10000848 KANSAS Phillips County... Montauk HWY, Hampton Bays, 10000852 Ulster County Lattingtown Baptist Church, 425 Old Indian Rd, Lattingtown, 10000855 Westchester County Woman's Club of White Plains, 305 Ridgeway, White Plains, 10000853...

7 CFR 7.10 - Conduct of county convention.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 1 2010-01-01 2010-01-01 false Conduct of county convention. 7.10 Section 7.10 Agriculture Office of the Secretary of Agriculture SELECTION AND FUNCTIONS OF AGRICULTURAL STABILIZATION AND... other purpose. (e) The county committee shall give advance public notice of the county convention which...

78 FR 33326 - Big Horn County Resource Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-04

... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee... will be held July 15, 2013 at 3:00 p.m. ADDRESSES: The meeting will be held at Big Horn County Weed and...

75 FR 21983 - Standard Instrument Approach Procedures, and Takeoff Minimums and Obstacle Departure Procedures...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-04-27

..., RNAV (GPS) RWY 20, Amdt 1A Paris, TN, Henry County, ILS OR LOC/NDB RWY 2, Amdt 1 Paris, TN, Henry County, NDB RWY 2, Amdt 3 Paris, TN, Henry County, RNAV (GPS) RWY 2, Orig Paris, TN, Henry County, RNAV...

40 CFR 81.274 - Mountain Counties Intrastate Air Quality Control Region.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 40 Protection of Environment 18 2012-07-01 2012-07-01 false Mountain Counties Intrastate Air... Air Quality Control Regions § 81.274 Mountain Counties Intrastate Air Quality Control Region. The Mountain Counties Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

40 CFR 81.274 - Mountain Counties Intrastate Air Quality Control Region.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 40 Protection of Environment 18 2014-07-01 2014-07-01 false Mountain Counties Intrastate Air... Air Quality Control Regions § 81.274 Mountain Counties Intrastate Air Quality Control Region. The Mountain Counties Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

40 CFR 81.274 - Mountain Counties Intrastate Air Quality Control Region.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 40 Protection of Environment 18 2013-07-01 2013-07-01 false Mountain Counties Intrastate Air... Air Quality Control Regions § 81.274 Mountain Counties Intrastate Air Quality Control Region. The Mountain Counties Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

Community Types and Mortality in Georgia Counties

ERIC Educational Resources Information Center

Young, Frank W.

2012-01-01

Using an "ecological regional analysis" methodology for defining types of communities and their associated mortality rates, this study of Georgia's 159 counties finds that the suburban and town centered counties have low mortality while the city-centered type predicts low mortality for the whites. The military-centered counties do not…

78 FR 21494 - Union Pacific Railroad Company-Abandonment Exemption-in Washington County, Idaho

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-10

... Pacific Railroad Company--Abandonment Exemption--in Washington County, Idaho Union Pacific Railroad... at Weiser, in Washington County, Idaho. The line traverses United States Postal Service Zip Code... Bingham & Bonneville Counties, Idaho, 360 I.C.C. 91 (1979). To address whether this condition adequately...

78 FR 50098 - Notice of Inventory Completion: St. Joseph County Sheriff's Department, Centreville, MI

Federal Register 2010, 2011, 2012, 2013, 2014

2013-08-16

....R50000] Notice of Inventory Completion: St. Joseph County Sheriff's Department, Centreville, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The St. Joseph County Sheriff's Department has... control of these human remains should submit a written request to the St. Joseph County Sheriff's...

76 FR 3654 - National Register of Historic Places; Notification of Pending Nominations and Related Actions

Federal Register 2010, 2011, 2012, 2013, 2014

2011-01-20

..., 10001205 KANSAS Greenwood County Robertson House, 403 N. Plum, Eureka, 10001207 Johnson County Broadmoor... Isabel, 10001217 RHODE ISLAND Providence County Church Hill Industrial District (Boundary Increase), 60... Plantation, 2930 Storm Branch Rd., Beech Island, 10001219 Richland County Columbia Electric Street Railway...

40 CFR 62.7856 - Albuquerque/Bernalillo County Air Quality Control Board.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Albuquerque/Bernalillo County Air Quality Control Board. (a) Identification of Plan. Albuquerque-Bernalillo... County Air Quality Control Board on November 9, 2005. (b) Identification of Sources. The plan applies to... County Air Quality Control Board that commenced construction prior to May 30, 1991, and have not been...

A River Town Goes Global

ERIC Educational Resources Information Center

Castro, Marjorie E.

2008-01-01

Chinese and American exchanges introduced a Westchester County school district to a different culture and sharpened their view of their own educational experience. Through the forward thinking of Andy Spano, the county executive, and Daisy Yau, the director of Asian-American affairs and business development for the county, Westchester County had…

7 CFR 1230.634 - FSA county office report.

Code of Federal Regulations, 2010 CFR

2010-01-01

... Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (MARKETING... report. The FSA county office will notify the FSA State office of the results of the referendum. Each FSA county office will transmit the results of the referendum in its county to the FSA State office. Such...

76 FR 55161 - Boston and Maine Corporation-Abandonment Exemption-Middlesex County, Mass.; Springfield Terminal...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-09-06

...\\ Docket No. AB 355; Sub-No. 39X] Boston and Maine Corporation--Abandonment Exemption--Middlesex County, Mass.; Springfield Terminal Railway Company; Discontinuance of Service Exemption; Middlesex County, MA... Middlesex County, Mass. The line traverses United States Postal Service Zip Codes 02471 and 02138...

78 FR 20937 - Changes in Flood Hazard Determinations

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-08

..., County Parkway, Brighton, CO Suite C5000A, 80601. Brighton, CO 80601. Weld Unincorporated The Honorable Sean Weld County Public http:// May 3, 2013 080266 areas of Weld Conway, Chairman, Works Department, www.bakeraecom.com/ County, (12-08- Weld County Board 1111 H Street, index.php/colorado/ 0745P). of...

School Progress Report 2012. Montgomery County Public Schools

ERIC Educational Resources Information Center

Montgomery County Public Schools, 2013

2013-01-01

The 2012 School Progress Report for Montgomery County Public Schools (MCPS) provides state, county, and individual school performance data, as well as information on student attendance, high school graduation rates, and the professional qualifications of teachers at the state, district, and school levels. Montgomery County primary schools are…

31 CFR 215.3 - Procedures for entering into a Withholding Agreement.

Code of Federal Regulations, 2010 CFR

2010-07-01

... DISTRICT OF COLUMBIA, STATE, CITY AND COUNTY INCOME OR EMPLOYMENT TAXES BY FEDERAL AGENCIES Procedures... Withholding Agreement which the Secretary will enter into with a State, city or county. A State, city or..., city or county. Copies of all applicable State laws, city or county ordinances and implementing...

24 CFR 570.510 - Transferring projects from urban counties to metropolitan cities.

Code of Federal Regulations, 2011 CFR

2011-04-01

... counties to metropolitan cities. 570.510 Section 570.510 Housing and Urban Development Regulations Relating... GRANTS Grant Administration § 570.510 Transferring projects from urban counties to metropolitan cities... county to a new metropolitan city, provided: the city was an included unit of general local government in...

31 CFR 215.3 - Procedures for entering into a Withholding Agreement.

Code of Federal Regulations, 2011 CFR

2011-07-01

... DISTRICT OF COLUMBIA, STATE, CITY AND COUNTY INCOME OR EMPLOYMENT TAXES BY FEDERAL AGENCIES Procedures... Withholding Agreement which the Secretary will enter into with a State, city or county. A State, city or..., city or county. Copies of all applicable State laws, city or county ordinances and implementing...

24 CFR 570.510 - Transferring projects from urban counties to metropolitan cities.

Code of Federal Regulations, 2010 CFR

2010-04-01

... counties to metropolitan cities. 570.510 Section 570.510 Housing and Urban Development Regulations Relating... GRANTS Grant Administration § 570.510 Transferring projects from urban counties to metropolitan cities... county to a new metropolitan city, provided: the city was an included unit of general local government in...

77 FR 69564 - Suspension of Community Eligibility

Federal Register 2010, 2011, 2012, 2013, 2014

2012-11-20

.... County. 1975, Emerg; July 2, 1980, Reg; December 4, 2012, Susp. Santa Fe County, 350069 March 25, 1976...; December 4, 2012, Susp. Orchid, Town of, Indian 120122 July 24, 1975, ......do Do. River County. Emerg...; December 4, 2012, Susp. Region V Indiana: Floyd County, 180432 December 2, 1976, ......do Do...

76 FR 30837 - Suspension of Community Eligibility

Federal Register 2010, 2011, 2012, 2013, 2014

2011-05-27

..., Susp. Subiaco, Town of, Logan 050288 March 23, 1976, ......do Do. County. Emerg; July 5, 1978, Reg... February 24, ......do Do. County. 1975, Emerg; March 16, 1989, Reg; June 2, 2011, Susp. Clayton County... September 22, ......do Do. County. 1972, Emerg; March 15, 1977, Reg; June 2, 2011, Susp. Calvert City, City...

40 CFR 81.331 - New Jersey.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Area Somerset County (part) Borough of Somerville 2/5/96 Attainment Toms River Area Ocean County (part) City of Toms River 2/5/96 Attainment Trenton Area Mercer County (part) City of Trenton 2/5/96... Ocean County (part) Area outside Toms River AQCR 151 NE PA—Upper Delaware Valley Unclassifiable...

7 CFR 927.11 - District.

Code of Federal Regulations, 2014 CFR

2014-01-01

... District shall include all the counties in the State of Oregon except for Hood River and Wasco counties. (2) Mid-Columbia District shall include Hood River and Wasco counties in the State of Oregon, and the counties of Skamania and Klickitat in the State of Washington. (3) Wenatchee District shall include the...

7 CFR 927.11 - District.

Code of Federal Regulations, 2010 CFR

2010-01-01

... District shall include all the counties in the State of Oregon except for Hood River and Wasco counties. (2) Mid-Columbia District shall include Hood River and Wasco counties in the State of Oregon, and the counties of Skamania and Klickitat in the State of Washington. (3) Wenatchee District shall include the...

7 CFR 927.11 - District.

Code of Federal Regulations, 2011 CFR

2011-01-01

... District shall include all the counties in the State of Oregon except for Hood River and Wasco counties. (2) Mid-Columbia District shall include Hood River and Wasco counties in the State of Oregon, and the counties of Skamania and Klickitat in the State of Washington. (3) Wenatchee District shall include the...

7 CFR 927.11 - District.

Code of Federal Regulations, 2013 CFR

2013-01-01

... District shall include all the counties in the State of Oregon except for Hood River and Wasco counties. (2) Mid-Columbia District shall include Hood River and Wasco counties in the State of Oregon, and the counties of Skamania and Klickitat in the State of Washington. (3) Wenatchee District shall include the...

7 CFR 927.11 - District.

Code of Federal Regulations, 2012 CFR

2012-01-01

... District shall include all the counties in the State of Oregon except for Hood River and Wasco counties. (2) Mid-Columbia District shall include Hood River and Wasco counties in the State of Oregon, and the counties of Skamania and Klickitat in the State of Washington. (3) Wenatchee District shall include the...

75 FR 29208 - Changes in Flood Elevation Determinations

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-25

..., 2010, Summers, Chair, (10-04-0151P). The Lexington Lexington County County Chronicle. Council, 212... 480296 06-2519P). January 21, 2010, Parker, Mayor, City of Houston Chronicle. Houston, P.O. Box 1562... 480287 of Harris County (09- January 21, 2010, Emmett, Harris County 06-2519P). Houston Chronicle. Judge...

27 CFR 9.228 - Indiana Uplands.

Code of Federal Regulations, 2014 CFR

2014-04-01

... of the Morgan-Brown county boundary line; then (7) Proceed south on State Road 135 to the Morgan-Brown county boundary line; then (8) Proceed east along the Brown-Morgan country boundary line and then Brown-Johnson county boundary line to its intersection with the Brown-Bartholomew county boundary line...

27 CFR 9.228 - Indiana Uplands.

Code of Federal Regulations, 2013 CFR

2013-04-01

... of the Morgan-Brown county boundary line; then (7) Proceed south on State Road 135 to the Morgan-Brown county boundary line; then (8) Proceed east along the Brown-Morgan country boundary line and then Brown-Johnson county boundary line to its intersection with the Brown-Bartholomew county boundary line...

Low-Wage Counties Face Locational Disadvantages.

ERIC Educational Resources Information Center

Gibbs, Robert; Cromartie, John B.

2000-01-01

Small populations and remoteness are the most salient features of low-wage counties. These locational attributes coincide with fewer high-wage jobs, yet low wages within industries define low-wage counties more than industry composition. Although adults in low-wage counties have less education and labor force participation overall, the role played…

75 FR 970 - Availability of Seats for the Hawaiian Islands Humpback Whale National Marine Sanctuary Advisory...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-01-07

..., Research, Honolulu County, Hawaii County, Maui County, and Kauai County. Applicants are chosen based upon... and professional affiliations; philosophy regarding the protection and management of marine resources... as the general public. The council is supported by three committees: A Research Committee chaired by...

Water resources of Sweetwater County, Wyoming

USGS Publications Warehouse

Mason, Jon P.; Miller, Kirk A.

2004-01-01

Sweetwater County is located in the southwestern part of Wyoming and is the largest county in the State. A study to quantify the availability and describe the chemical quality of surface-water and ground-water resources in Sweetwater County was conducted by the U.S. Geological Survey in cooperation with the Wyoming State Engineers Office. Most of the county has an arid climate. For this reason a large amount of the flow in perennial streams within the county is derived from outside the county. Likewise, much of the ground-water recharge to aquifers within the county is from flows into the county, and occurs slowly. Surface-water data were not collected as part of the study. Evaluations of streamflow and stream-water quality were limited to analyses of historical data and descriptions of previous investigations. Forty-six new ground-water-quality samples were collected as part of the study and the results from an additional 782 historical ground-water-quality samples were reviewed. Available hydrogeologic characteristics for various aquifers throughout the county also are described. Flow characteristics of streams in Sweetwater County vary substantially depending on regional and local basin characteristics and anthropogenic factors. Because precipitation amounts in the county are small, most streams in the county are ephemeral, flowing only as a result of regional or local rainfall or snowmelt runoff. Flows in perennial streams in the county generally are a result of snowmelt runoff in the mountainous headwater areas to the north, west, and south of the county. Flow characteristics of most perennial streams are altered substantially by diversions and regulation. Water-quality characteristics of selected streams in and near Sweetwater County during water years 1974 through 1983 were variable. Concentrations of dissolved constituents, suspended sediment, and bacteria generally were smallest at sites on the Green River because of resistant geologic units, increased vegetative cover, large diluting streamflows, and large reservoirs. Concentrations of dissolved constituents, suspended sediment, and bacteria generally were largest at sites in the Big Sandy River and Bitter Creek Basins. Some nutrient concentrations and bacteria counts exceeded various State and Federal water-quality criteria. Historical and recent anthropogenic activities contributed to natural sources of many dissolved constituents and suspended sediment. Both water-table and artesian conditions occur in aquifers within the county. Shallow ground water is available throughout the county, although much of it is only marginally suitable or is unsuitable for domestic and irrigation uses mainly because of high total dissolved solids (TDS) concentrations. Suitable ground water for livestock use can be found in most areas of the county. Ground-water quality tends to deteriorate with increasing distance from recharge areas and with increasing depth below land surface. Ground water from depths of greater than a few thousand feet tends to have TDS concentrations that make it moderately saline to briny. In some areas even shallow ground water has moderately saline TDS concentrations. Specific constituents in parts of some aquifers in the county occur in relatively high concentrations when compared to U.S. Environmental Protection Agency drinking-water standards. Relatively high concentrations of sulfate, fluoride, boron, iron, and manganese were found in several aquifers. Many ground-water samples from the Battle Spring aquifer in the Great Divide Structural Basin had high radionuclide concentrations. The estimated mean daily water use in Sweetwater County in 2000 was 170.73 million gallons per day. Irrigation was the largest single use of water in the county with an estimated mean use of more than 92 million gallons per day. Surface water irrigation accounted for nearly 90 percent of the total irrigation water used in 2000. Although ground water is used to a much

Ox Mountain Sanitary Landfill Apanolio Canyon Expansion Site, San Mateo County, California. Volume 2. Appendix

DTIC Science & Technology

1989-04-01

old-growth forest located between Sonoma County and the Oregon border. The exact northern limit of the small southern I population is not known...meadow habitat on the inland side of sand dunes at Pt. Reyes (Matin County) and Bodega Bay ( Sonoma County ). Historically, the silverspot also probably...and Sonoma County (6.5 mi. northeast of Penngrove). Collection dates ranged from 27IJanuary to 30 July. Most of the species of Hydrochara are similar

Special Office Report for Warm Springs Dam and Lake Sonoma. Sonoma County, California. Section 7. Consultation on Endangered Species.

DTIC Science & Technology

1983-05-01

REPORT, SECTION 7 CONSULTATION, FN WARM SPRINGS DAM AND LAKE SONOMA, SONOMA COUNTY , F P IN CALIFORNIA 6. PERFORMING ORG. REPORT NUMBER 7. AUTHOR(s) 8...regarding the American Peregrine Falcon (Falco peregrInus anatum) and its critical habitat (about 13,300 acres in Sonoma County , California) in the 29 May...federally owned historic resources. Actions to be undertaken will not impair historic properties. e. Sonoma County General Plan. This County Plan is a

Final Environmental Impact Report/Environmental Impact Statement, Cullinan Ranch Specific Plan, City of Vallejo, Solano County, California.

DTIC Science & Technology

1984-05-01

projected loss of acreage for hay production and the resulting impacts on the Marin and Sonoma County dairy industries. Under Alternative E about 626...agircultural land which produces hay or silage for Marin and Sonoma County Dairy Industry will be devastating, especially for the smaller operators who...the hay lands in Marin and Sonoma Counties. The Matin and Sonoma County Planning Departments indicate that there are an additional 4,400 acres (+) of

Final Environmental Impact Report/Environmental Impact Statement. Cullinan Ranch Specific Plan. Chapter 13. Comments and Responses.

DTIC Science & Technology

1984-05-01

energy- intensive crop, and agricultural advisors expect alfalfa prices to rise significantly in the future. Sonoma County Dairy Advisor Dr. Richard...Bermon Alfred Heller John Tuteur. Jr James D Hobbs* Volker E#1ee Sonoma County I. Michael Heyman Mrs Robert Watson Alemo County JunO Foote Marilyn...86 ,. Sunnyvale 5 571 Sonoma County 56 21,266 i Class C -- Little or no protection of diked baylands at local level Alameda County 1 228 Alameda 2 71

77 FR 72968 - Revisions to the California State Implementation Plan, for Imperial County, Placer County and...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-07

...EPA is taking direct final action to approve revisions to the Imperial County Air Pollution Control District (ICAPCD), Placer County Air Pollution Control District (PCAPCD) and Ventura County Air Pollution Control District (PCAPCD) portions of the California State Implementation Plan (SIP). Under authority of the Clean Air Act as amended in 1990 (CAA or the Act), we are approving local rules that address emission statements for ICAPCD and PCAPCD and definitions for VCAPCD.

28. CONCRETE DIVERSION STRUCTURE ON THE WEST SIDE OF D ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

28. CONCRETE DIVERSION STRUCTURE ON THE WEST SIDE OF D STREET ABOUT ONE-QUARTER MILE SOUTH OF 9TH AVNEUE (SECTION 26); THE LATERAL CONTINUES NORTHEAST WHILE A SIDE DITCH PROCEEDS NORTHWARD. THE DIVERSION STRUCTURE SHOWN IN CO-43-A-27 IS VISIBLE IN THE DISTANCE. - Highline Canal, Sand Creek Lateral, Beginning at intersection of Peoria Street & Highline Canal in Arapahoe County (City of Aurora), Sand Creek lateral Extends 15 miles Northerly through Araphoe County, City & County of Denver, & Adams County to its end point, approximately 1/4 mile Southest of intersectioin of D Street & Ninth Avenue in Adams County (Rocky Mountain Arsenal, Commerce City Vicinity), Commerce City, Adams County, CO

Final Scientific/Technical Report for DOE/EERE Comprehensive Community Renewable Energy Implementation Plan in Forest County and Milwaukee County

DOE Office of Scientific and Technical Information (OSTI.GOV)

Karman, Nathan

2014-06-27

Forest County Potawatomi Community (the “Community”) sought and obtained Community Renewable Energy Deployment funding from the Department of Energy to evaluate and implement a diverse number of renewable energy technologies throughout its lands held in trust or owned in fee simple in Forest County and Milwaukee County (the “Project”). The technologies and sites evolved during the Project, ultimately leading to the investigation of biomass and solar projects on the Community’s reservation in Forest County, as well as the investigation and eventual deployment of a solar project and an anaerobic digestion and biogas project on Community lands in Milwaukee.

Optimizing Systems of Threshold Detection Sensors

DTIC Science & Technology

2008-03-01

0.075 10 Queens County, NY 2,255,175 0.0075 1.47 0.703 0.071 21 Suffolk County, NY 1,469,715 0.0049 1.76 0.595 0.039 36 Contra Costa Co., CA...Suffolk County, NY 1.76 1.77 0.595 0.592 0.039 0.039 36 Contra Costa Co., CA 2.01 1.95 0.498 0.521 0.022 0.026 77 Lake County, IL 2.25 2.13 0.400 0.449...1,043,500 0.0062 1.939 0.524 0.026 36 Contra Costa County, CA 1,024,319 0.0060 1.948 0.521 0.026 37 Fairfax County, VA 1,010,443 0.0060 1.955 0.518

Airborne radioactivity surveys in the Mojave Desert region, Kern, Riverside, and San Bernardino Counties, California

USGS Publications Warehouse

Moxham, Robert M.

1952-01-01

Airborne radioactivity surveys in the Mojave Desert region Kern, Riverside, and Bernardino counties were made in five areas recommended as favorable for the occurrence of radioactive raw materials: (1) Rock Corral area, San Bernardino County. (2) Searles Station area, Kern county. (3) Soledad area, Kern County. (4) White Tank area, Riverside and San Bernardino counties. (5) Harvard Hills area, San Bernardino County. Anomalous radiation was detected in all but the Harvard Hills area. The radioactivity anomalies detected in the Rock Corral area are of the greatest amplitude yet recorded by the airborne equipment over natural sources. The activity is apparently attributable to the thorium-beating mineral associated with roof pendants of crystalline metamorphic rocks in a granitic intrusive. In the Searles Station, Soledad, and White Tank area, several radioactivity anomalies of medium amplitude were recorded, suggesting possible local concentrations of radioactive minerals.

78 FR 60273 - David E. Cereghino, Idaho County Light & Power Cooperative Association, Inc.; Notice of Transfer...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-10-01

.... Cereghino, Idaho County Light & Power Cooperative Association, Inc.; Notice of Transfer of Exemption 1. By letter filed March 25, 2011, David E. Cereghino and Idaho County Light & Power Cooperative Association... No. 5865, originally issued April 6, 1984,\\1\\ has been transferred to Idaho County Light & Power...

Forest statistics for Central Alabama counties

Treesearch

Arnold Hedlund; J.M. Earles

1972-01-01

This report tabulates information from a new forest inventory of counties in central Alabama. The tables are intended for use as source data in compiling estimates for groups of counties. Because the sampling procedure is designed primarily to furnish inventory data for the State as a whole, estimates for individual counties have limited and variable accuracy.

Forest statistics for Southwest Alabama counties

Treesearch

Arnold Hedlund; J. M. Earles

1972-01-01

This report tabulates information from a new forest inventory of counties in southwestern Alabama. The tables are intended for sue as source data in compiling estimates for groups of counties. Because the sampling procedure is designed primarily to furnish inventory data for the State as a whole, estimates for individual counties have limited and variable accuracy....

Forest statistics for North Alabama counties

Treesearch

Arnold Hedlund; J. M. Earles

1972-01-01

This report tabulates information from a new forest inventory of counties in northern Alabama. The tables are intended for use as a source data in compiling estimates for groups of counties. Because the sampling procedure is designed primarily to furnish inventory data for the state as a whole, estimates for individual counties have limited and variable accuracy.

Agreement between Luzerne County Community College and Luzerne County Community College Association of Higher Education.

ERIC Educational Resources Information Center

Luzerne County Community Coll., Nanticoke, PA.

This agreement between the Luzerne County Community College and the Luzerne County Community College Association of Higher Education covers the 1973-74 year. The agreement includes the collective bargaining agreement, definitions, recognition, fair practices, conference, maintenance of membership, check-off, grievance procedure, rights of college,…

How Are Kentucky's Children Stacking Up? A County by County Analysis.

ERIC Educational Resources Information Center

Chandler, Betsy

In a county by county analysis, this report assesses the quality of life for Kentucky's children. Researchers developed a child quotient (CQ) based on 18 indicators: per capita income, children in poverty, women receiving inadequate prenatal care, infant deaths, teens giving birth, substandard dwellings, children in foster care, per-pupil…

Ecological subregion codes by county, coterminous United States

Treesearch

Victor A. Rudis

1999-01-01

This publication presents the National Hierarchical Framework of Ecological Units (ECOMAP 1993) by county for the coterminous United States. Assignment of the framework to individual counties is based on the predominant area by province and section to facilitate integration of county-referenced information with areas of uniform ecological potential. Included are maps...

77 FR 61657 - Indiana Northeastern Railroad Company-Abandonment Exemption-In Branch and St. Joseph Counties, MI

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-10

... Northeastern Railroad Company--Abandonment Exemption--In Branch and St. Joseph Counties, MI Indiana... Branch County, Mich., and milepost 100.69 near Sturgis in St. Joseph County, Mich. (the Line). The Line... .'' Decided: October 2, 2012. By the Board, Rachel D. Campbell, Director, Office of Proceedings. Derrick A...

78 FR 27215 - Baker County Oregon; Notice of Application Tendered for Filing With the Commission and...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-09

... the base of Mason dam in the vicinity of the exiting discharge via the project's tailrace. Baker... DEPARTMENT OF ENERGY Federal Energy Regulatory Commission [Project No. 12686-004] Baker County...: Baker County, Oregon (Baker County). e. Name of Project: Mason Dam Hydroelectric Project. f. Location...

The Need for a Southern Branch Campus of Ocean County College.

ERIC Educational Resources Information Center

Ocean County Coll., Toms River, NJ. Office of Institutional Research.

In 1989, a study was conducted at Ocean County College (OCC) to determine the feasibility of establishing a branch campus in southern Ocean County, New Jersey. Specific factors examined in the study included Ocean County's demographic characteristics (e.g., land area and dispersion, population trends, public transportation, and economic trends);…

7 CFR 1740.8 - Scoring criteria for the grant competition.

Code of Federal Regulations, 2013 CFR

2013-01-01

... follows: (1) The rural population of a core coverage area must be calculated. The rural population of a county is calculated by subtracting the county's urban population(s) from the total county population. If the core coverage area consists of multiple counties, the rural population is the sum of all included...

7 CFR 1740.8 - Scoring criteria for the grant competition.

Code of Federal Regulations, 2014 CFR

2014-01-01

... follows: (1) The rural population of a core coverage area must be calculated. The rural population of a county is calculated by subtracting the county's urban population(s) from the total county population. If the core coverage area consists of multiple counties, the rural population is the sum of all included...

7 CFR 1740.8 - Scoring criteria for the grant competition.

Code of Federal Regulations, 2012 CFR

2012-01-01

... follows: (1) The rural population of a core coverage area must be calculated. The rural population of a county is calculated by subtracting the county's urban population(s) from the total county population. If the core coverage area consists of multiple counties, the rural population is the sum of all included...

7 CFR 1740.8 - Scoring criteria for the grant competition.

Code of Federal Regulations, 2011 CFR

2011-01-01

... follows: (1) The rural population of a core coverage area must be calculated. The rural population of a county is calculated by subtracting the county's urban population(s) from the total county population. If the core coverage area consists of multiple counties, the rural population is the sum of all included...

77 FR 50660 - Limited Approval and Disapproval of Air Quality Implementation Plans; Nevada; Clark County...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-22

... Approval and Disapproval of Air Quality Implementation Plans; Nevada; Clark County; Stationary Source... Clark County, Nevada. DATES: Any comments on this proposal must arrive by September 7, 2012. ADDRESSES... regulations submitted for approval into the Clark County portion of the Nevada State Implementation Plan (SIP...

77 FR 64039 - Limited Approval and Disapproval of Air Quality Implementation Plans; Nevada; Clark County...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-18

... Approval and Disapproval of Air Quality Implementation Plans; Nevada; Clark County; Stationary Source... limited approval and limited disapproval of revisions to the Clark County portion of the applicable state... limited approval and limited disapproval action is to update the applicable SIP with current Clark County...

Importing the Poor: Welfare Magnetism and Cross-Border Welfare Migration

ERIC Educational Resources Information Center

Journal of Human Resources, 2005

2005-01-01

A study of the welfare programs in two counties bordering different states along with comparative welfare expenditure in interior counties tests the theory that Aid for Families with Dependent Children (AFDC) recipients migrate to counties which have a higher per capita welfare budget. Research shows that border counties with a $100 differential…

Correct county areas with sidebars for Virginia

Treesearch

Joseph M. McCollum; Dale Gormanson; John Coulston

2009-01-01

Historically, Forest Inventory and Analysis (FIA) has processed field inventory data at the county level and county estimates of land area were constrained to equal those reported by the Census Bureau. Currently, the Southern Research Station FIA unit processes field inventory data at the survey unit level (groups of counties with similar ecological characteristics)....

7 CFR 1940.308 - Environmental responsibilities at the District and County Office levels.

Code of Federal Regulations, 2010 CFR

2010-01-01

... Environmental Program § 1940.308 Environmental responsibilities at the District and County Office levels. (a... County Office levels. 1940.308 Section 1940.308 Agriculture Regulations of the Department of Agriculture... completed at the District Office level. (b) The County Supervisor will be responsible for carrying out the...

33 CFR 334.1127 - Naval Base Ventura County, Port Hueneme, California; restricted area.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 33 Navigation and Navigable Waters 3 2011-07-01 2011-07-01 false Naval Base Ventura County, Port....1127 Naval Base Ventura County, Port Hueneme, California; restricted area. (a) The area. The waters... area unless permission is obtained in advance from the Commanding Officer of Naval Base Ventura County...

33 CFR 334.1127 - Naval Base Ventura County, Port Hueneme, California; restricted area.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Naval Base Ventura County, Port....1127 Naval Base Ventura County, Port Hueneme, California; restricted area. (a) The area. The waters... area unless permission is obtained in advance from the Commanding Officer of Naval Base Ventura County...

33 CFR 334.1126 - Naval Base Ventura County, Point Mugu, California; restricted area.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Naval Base Ventura County, Point....1126 Naval Base Ventura County, Point Mugu, California; restricted area. (a) The area. The restricted area at Naval Base Ventura County Point Mugu incorporates its shoreline and connects the following...

33 CFR 334.1126 - Naval Base Ventura County, Point Mugu, California; restricted area.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 33 Navigation and Navigable Waters 3 2011-07-01 2011-07-01 false Naval Base Ventura County, Point....1126 Naval Base Ventura County, Point Mugu, California; restricted area. (a) The area. The restricted area at Naval Base Ventura County Point Mugu incorporates its shoreline and connects the following...

76 FR 78234 - Medicine Bow-Routt National Forests and Thunder Basin National Grassland, Campbell County, WY...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-16

... the road construction, the final easement would be acquired by Campbell County, and this road will be... National Grassland, Campbell County, WY; Mackey Road Relocation AGENCY: Forest Service, USDA. ACTION... authorize Peabody Powder River Mining, LLC to vacate and relocate portions of Campbell County Road 69...

78 FR 61958 - San Juan County Historical Society; Notice of Preliminary Determination of A Qualifying Conduit...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-10-08

... Historical Society; Notice of Preliminary Determination of A Qualifying Conduit Hydropower Facility and Soliciting Comments and Motions To Intervene On September 20, 2013, San Juan County Historical Society filed... County, Colorado. Applicant Contact: Beverly Rich, San Juan County Historical Society, P.O. Box 154...

24 CFR 576.41 - Reallocation; lack of approved consolidated plan-formula cities and counties.

Code of Federal Regulations, 2010 CFR

2010-04-01

... consolidated plan-formula cities and counties. 576.41 Section 576.41 Housing and Urban Development Regulations... approved consolidated plan—formula cities and counties. (a) Applicability. This section applies where a formula city or county fails to submit or obtain HUD approval of its consolidated plan within 90 days of...

24 CFR 576.41 - Reallocation; lack of approved consolidated plan-formula cities and counties.

Code of Federal Regulations, 2011 CFR

2011-04-01

... consolidated plan-formula cities and counties. 576.41 Section 576.41 Housing and Urban Development Regulations... approved consolidated plan—formula cities and counties. (a) Applicability. This section applies where a formula city or county fails to submit or obtain HUD approval of its consolidated plan within 90 days of...

78 FR 68060 - Availability of FY 12 Grantee Performance Evaluation Reports for the Eight States of EPA Region 4...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-11-13

... County Air Pollution Control Bureau, TN; Shelby County Health Department, TN; Knox County Department of... evaluations of eight state air pollution control programs (Alabama Department of Environmental Management... Department, FL; Pinellas County Parks and Conservation Resources, FL; Louisville Metro Air Pollution Control...

76 FR 64086 - Availability of FY 10 Grantee Performance Evaluation Reports for the Eight States of EPA Region 4...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-10-17

... Conservation Resources, FL; Louisville Metro Air Pollution Control District, KY; Forsyth County Environmental... Carolina Regional Air Quality Agency, NC; Chattanooga-Hamilton County Air Pollution Control Bureau, TN; Shelby County Health Department, TN; Knox County Department of Air Quality Management, TN; and...

77 FR 52022 - Availability of FY 11 Grantee Performance Evaluation Reports for the Eight States of EPA Region 4...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-28

... Conservation Resources, FL; Louisville Metro Air Pollution Control District, KY; Forsyth County Environmental... Carolina Regional Air Quality Agency, NC; Chattanooga-Hamilton County Air Pollution Control Bureau, TN; Shelby County Health Department, TN; Knox County Department of Air Quality Management, TN; and...

75 FR 12087 - Determination of Attainment, Approval and Promulgation of Air Quality Implementation Plans; Indiana

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-12

... the Clean Air Act (CAA) affecting the Indiana portion (Lake and Porter Counties) of the Chicago-Gary... Oxides (NO X ) in Lake and Porter Counties from CAA Reasonably Available Control Technology (RACT... Lake and Porter Counties, also published in today's Federal Register, the Chicago-Gary-Lake County, IL...

76 FR 23708 - Safety Zone; Pierce County Department of Emergency Management Regional Water Exercise, East...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-04-28

...-AA00 Safety Zone; Pierce County Department of Emergency Management Regional Water Exercise, East... the Regional Water Rescue Exercise. Basis and Purpose The Pierce County, Washington, Department of... to read as follows: Sec. 165.T13-0251 Safety Zone; Pierce County Department of Emergency Management...

77 FR 53772 - Approval and Promulgation of Air Quality Implementation Plans; Washington; Determination of Clean...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-04

... Fine Particulate Standard for the Tacoma, Pierce County Nonattainment Area AGENCY: Environmental..., Pierce County nonattainment area (hereafter referred to as ``Tacoma, Pierce County'' or ``the area'') has... the Tacoma, Pierce County nonattainment area has clean data for the 2006 24-hour PM 2.5 NAAQS. This...

77 FR 39657 - Approval and Promulgation of Air Quality Implementation Plans; Washington; Determination of Clean...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-07-05

... Fine Particulate Standard for the Tacoma, Pierce County Nonattainment Area AGENCY: Environmental..., Pierce County nonattainment area (hereafter referred to as ``Tacoma, Pierce County'' or ``the area'') for... section 107(d)(1), for the 2006 24-hour PM 2.5 NAAQS. As part of that action, Tacoma, Pierce County...

Determination of Heavy Metals in Alpinia oxyphylla Miq. Collected from Different Cultivation Regions

PubMed Central

Fu, Yurong; Lai, Weiyong; Zhang, Junqing

2016-01-01

20 batches of Alpinia oxyphylla Miq. were collected from Yunnan, Guangdong, Guangxi, and Hainan province in China. The contents of heavy metals of As, Hg, Pb, Cd, and Cu were determined and compared. The results indicated that geographical source might be a major factor to influence the contents of heavy metals of arsenic (As), mercury (Hg), lead (Pb), cadmium (Cd), and copper (Cu) in Alpinia oxyphylla Miq. Compared to the criteria of heavy metals, the contents of As, Hg, Pb, and Cd in almost all the samples were in accordance with The Green Trade Standards. The contents of Cu were higher than the criteria for heavy metals except the samples from Changxing town, Qiongzhong county, Maoyang town, Qiongzhong county, Wupo town, Tunchang county, and Nanlv town, Tunchang county, in Hainan province. The best cultivation regions of Alpinia oxyphylla Miq. were from Changxing town, Qiongzhong county, Maoyang town, Qiongzhong county, Wupo town, Tunchang county, and Nanlv town, Tunchang county, in Hainan province. This research would provide the scientific basis for quality control and standardization of Alpinia oxyphylla Miq. PMID:27293963

Risk Assessment of Malaria Prevalence in Ludian, Yongshan, and Jinggu Counties, Yunnan Province, after 2014 Earthquake Disaster

PubMed Central

Feng, Jun; Xia, Zhigui; Zhang, Li; Cheng, Siyuan; Wang, Rubo

2016-01-01

The objective of this study was to investigate malaria prevalence after the 2014 earthquakes in Ludian, Yongshan, and Jinggu counties, Yunnan Province, China. We collected and analyzed epidemiological data and made a risk assessment of transmission probability. From January 2005 to July 2015, 87 malaria cases were reported in the three counties, most of which (81.6%) occurred between 2005 and 2009, with five cases reported in Jinggu County between January 2014 and July 2015, of which one case was reported after the earthquake. In addition, no local transmission occurred in the three counties from 2010, and 95.5% of imported malaria occurred in patients who had returned from Myanmar. The townships of Lehong, Qingsheng, and Weiyuan were the main endemic areas in the three counties. The probability of malaria transmission in the three counties was low, but Jinggu County had a higher risk due to the existence of infected patients and an appropriate vector. With sporadic cases reported annually, close monitoring should continue to enhance early detection of a possible malaria outbreak. PMID:26711514

Commodity Flow Study - Clark County, Nevada, USA

DOE Office of Scientific and Technical Information (OSTI.GOV)

Conway, S.Ph.D.; Navis, I.

2008-07-01

The United States Department of Energy has designated Clark County, Nevada as an 'Affected Unit of Local Government' due to the potential for impacts by activities associated with the Yucca Mountain High Level Nuclear Waste Repository project. Urban Transit, LLC has led a project team of transportation including experts from the University of Nevada Las Vegas Transportation Research Center to conduct a hazardous materials community flow study along Clark County's rail and truck corridors. In addition, a critical infrastructure analysis has also been carried out in order to assess the potential impacts of transportation within Clark County of high levelmore » nuclear waste and spent nuclear fuel to a proposed repository 90 miles away in an adjacent county on the critical infrastructure in Clark County. These studies were designed to obtain information relating to the transportation, identification and routing of hazardous materials through Clark County. Coordinating with the United States Department of Energy, the U.S. Department of Agriculture, the U. S. Federal Highway Administration, the Nevada Department of Transportation, and various other stakeholders, these studies and future research will examine the risk factors along the entire transportation corridor within Clark County and provide a context for understanding the additional vulnerability associated with shipping spent fuel through Clark County. (authors)« less

California's county hospitals and the University of California graduate medical education system. Current issues and future directions.

PubMed

Jameson, W J; Pierce, K; Martin, D K

1998-05-01

California's county hospitals train 45% of the state's graduate medical residents, including 33% of residents in the University of California system. This paper describes the interrelationships of California's county hospitals and the University of California (UC) graduate medical education (GME) programs, highlighting key challenges facing both systems. The mission of California's county health care systems is to serve all who need health care services regardless of ability to pay. Locating UC GME programs in county hospitals helps serve the public missions of both institutions. Such partnerships enhance the GME experience of UC residents, provide key primary care training opportunities, and ensure continued health care access for indigent and uninsured populations. Only through affiliation with university training programs have county hospitals been able to run the cost-effective, quality programs that constitute an acceptable safety net for the poor. Financial stress, however, has led county hospitals and UC's GME programs to advocate for reform in both GME financing and indigent care funding. County hospitals must participate in constructing strategies for GME reform to assure that GME funding mechanisms provide for equitable compensation of county hospitals' essential role. Joint advocacy will also be essential in achieving significant indigent care policy reform.

Quaternary geology of Alameda County, and parts of Contra Costa, Santa Clara, San Mateo, San Francisco, Stanislaus, and San Joaquin counties, California: a digital database

USGS Publications Warehouse

Helley, E.J.; Graymer, R.W.

1997-01-01

Alameda County is located at the northern end of the Diablo Range of Central California. It is bounded on the north by the south flank of Mount Diablo, one of the highest peaks in the Bay Area, reaching an elevation of 1173 meters (3,849 ft). San Francisco Bay forms the western boundary, the San Joaquin Valley borders it on the east and an arbitrary line from the Bay into the Diablo Range forms the southern boundary. Alameda is one of the nine Bay Area counties tributary to San Francisco Bay. Most of the country is mountainous with steep rugged topography. Alameda County is covered by twenty-eight 7.5' topographic Quadrangles which are shown on the index map. The Quaternary deposits in Alameda County comprise three distinct depositional environments. One, forming a transgressive sequence of alluvial fan and fan-delta facies, is mapped in the western one-third of the county. The second, forming only alluvial fan facies, is mapped in the Livermore Valley and San Joaquin Valley in the eastern part of the county. The third, forming a combination of Eolian dune and estuarine facies, is restricted to the Alameda Island area in the northwestern corner of the county.

Counties eliminating racial disparities in colorectal cancer mortality.

PubMed

Rust, George; Zhang, Shun; Yu, Zhongyuan; Caplan, Lee; Jain, Sanjay; Ayer, Turgay; McRoy, Luceta; Levine, Robert S

2016-06-01

Although colorectal cancer (CRC) mortality rates are declining, racial-ethnic disparities in CRC mortality nationally are widening. Herein, the authors attempted to identify county-level variations in this pattern, and to characterize counties with improving disparity trends. The authors examined 20-year trends in US county-level black-white disparities in CRC age-adjusted mortality rates during the study period between 1989 and 2010. Using a mixed linear model, counties were grouped into mutually exclusive patterns of black-white racial disparity trends in age-adjusted CRC mortality across 20 three-year rolling average data points. County-level characteristics from census data and from the Area Health Resources File were normalized and entered into a principal component analysis. Multinomial logistic regression models were used to test the relation between these factors (clusters of related contextual variables) and the disparity trend pattern group for each county. Counties were grouped into 4 disparity trend pattern groups: 1) persistent disparity (parallel black and white trend lines); 2) diverging (widening disparity); 3) sustained equality; and 4) converging (moving from disparate outcomes toward equality). The initial principal component analysis clustered the 82 independent variables into a smaller number of components, 6 of which explained 47% of the county-level variation in disparity trend patterns. County-level variation in social determinants, health care workforce, and health systems all were found to contribute to variations in cancer mortality disparity trend patterns from 1990 through 2010. Counties sustaining equality over time or moving from disparities to equality in cancer mortality suggest that disparities are not inevitable, and provide hope that more communities can achieve optimal and equitable cancer outcomes for all. Cancer 2016;122:1735-48. © 2016 American Cancer Society. © 2016 American Cancer Society.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

This is the final report of a task force of citizens and academics who, with funding from the Appalachian Regional Commission, set out to answer that question for a sample of 80 mountain counties in the Virginias, Kentucky, Tennessee, North Carolina, and Alabama. By mobilizing and training local volunteers, the Task Force was able to examine county courthouse records and compile an impressive data base on the ownership of land and mineral rights in those counties. For these counties, the Task Force recorded all owners of 250 or more acres and all corporate or absentee owners of 20 or moremore » acres. The picture of land ownership that emerges from the study is one of concentration (the top 5% of land owners in the sample hold 31.3% of the surface areas in these counties), of corporateness (in 10 counties, corporations own 45% or more of the surface, while in Lincoln County, West Virginia, corporate mineral holdings are equivalent to 120% of the county's surface area), and of absenteeism (38% of the land area in the survey counties). The data collected were sufficiently detailed to allow the construction of Gini coefficients within the sample, to examine the tax burden by type of owner and land use, to identify the largest land and mineral owners in these counties, and to run some statistical tests against data from other sources. The Task Force conducted interviews with local residents in 19 of the counties, although very little from these case studies is reported. The results of these investigations is a data base that might be useful to many of those interested in regional economics, natural resources, local government finance, distribution, or public choice.« less

Yucca Mountain: How Do Global and Federal Initiatives Impact Clark County's Nuclear Waste Program?

DOE Office of Scientific and Technical Information (OSTI.GOV)

Navis, I.; McGehee, B.

2008-07-01

Since 1987, Clark County has been designated by the U.S. Department of Energy (DOE) as an 'Affected Unit of Local Government' (AULG). The AULG designation is an acknowledgement by the federal government that activities associated with the Yucca Mountain proposal could result in considerable impacts on Clark County residents and the community as a whole. As an AULG, Clark County is authorized to identify 'any potential economic, social, public health and safety, and environmental impacts of a repository', 42 U.S.C. Section 10135(c)(1)(B)(i) under provisions of the Nuclear Waste Policy Act Amendments (NWPAA). Clark County's oversight program contains key elements ofmore » (1) technical and scientific analysis (2) transportation analysis (3) impact assessment and monitoring (4) policy and legislative analysis and monitoring, and (5) public outreach. Clark County has conducted numerous studies of potential impacts, many of which are summarized in Clark County's Impact Assessment Report that was submitted DOE and the President of the United States in February 2002. Given the unprecedented magnitude and duration of DOE's proposal, as well as the many unanswered questions about the transportation routes, number of shipments, and the modal mix that will ultimately be used, impacts to public health and safety and security, as well as socioeconomic impacts, can only be estimated. In order to refine these estimates, Clark County Comprehensive Planning Department's Nuclear Waste Division updates, assesses, and monitors impacts on a regular basis. Clark County's Impact Assessment program covers not only unincorporated Clark County but all five jurisdictions of Las Vegas, North Las Vegas, Henderson, Mesquite, and Boulder City as well as tribal jurisdictions that fall within Clark County's geographic boundary. National and global focus on nuclear power and nuclear waste could have significant impact on the Yucca Mountain Program, and therefore, Clark County's oversight of that program. (authors)« less

Impact of Income Inequality on the Nation's Health.

PubMed

López, Diego B; Loehrer, Andrew P; Chang, David C

2016-10-01

Income inequality in the United States has been increasing in recent decades. It is unclear whether income inequality has an independent effect on health outcomes, or whether it simply correlates with increasing levels of poverty. The goal of this study was to evaluate whether income inequality is significantly associated with US county health care expenditures and health care use. Cross-sectional analysis of county health expenditure data from the Health Resources and Services Administration's Area Resources File, county income inequality measures (Gini coefficient) from the Census' American Community Survey, and estimates of potentially preventable admissions and potentially discretionary procedures from the Nationwide Inpatient Sample (1998 to 2011). Datasets were linked via county Federal Information Processing Standard codes. Multivariable linear and Poisson regression analyses were performed at the county level adjusting for county characteristics. A total of 1,237 counties (of 3,144) were included. Income inequality was associated with higher health care expenditures, with each 1 percentage-point increase in county Gini coefficient associated with a US$40,008 increase in annual county Medicare cost (p = 0.003), and an increase of 174.7 total county Medicare inpatient days per year (p < 0.001). Even after accounting for poverty level and county characteristics, counties with higher inequality had higher potentially preventable admission (eg 4.86 rate ratio for low-birth-weight hospital admissions in the top income inequality quartile compared with bottom quartile; p < 0.001) and a higher incidence of potentially discretionary procedures (eg 1.79 rate ratio for prostatectomy for benign prostatic hyperplasia in the top income inequality quartile compared with bottom quartile; p < 0.001). Income inequality is independently associated with higher health care expenditures and more health care use, with increases in both potentially discretionary procedures and in potentially preventable admissions. Copyright © 2016 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

County-Level Population Economic Status and Medicare Imaging Resource Consumption.

PubMed

Rosenkrantz, Andrew B; Hughes, Danny R; Prabhakar, Anand M; Duszak, Richard

2017-06-01

The aim of this study was to assess relationships between county-level variation in Medicare beneficiary imaging resource consumption and measures of population economic status. The 2013 CMS Geographic Variation Public Use File was used to identify county-level per capita Medicare fee-for-service imaging utilization and nationally standardized costs to the Medicare program. The County Health Rankings public data set was used to identify county-level measures of population economic status. Regional variation was assessed, and multivariate regressions were performed. Imaging events per 1,000 Medicare beneficiaries varied 1.8-fold (range, 2,723-4,843) at the state level and 5.3-fold (range, 1,228-6,455) at the county level. Per capita nationally standardized imaging costs to Medicare varied 4.2-fold (range, $84-$353) at the state level and 14.1-fold (range, $33-$471) at the county level. Within individual states, county-level utilization varied on average 2.0-fold (range, 1.1- to 3.1-fold), and costs varied 2.8-fold (range, 1.1- to 6.4-fold). For both large urban populations and small rural states, Medicare imaging resource consumption was heterogeneously variable at the county level. Adjusting for county-level gender, ethnicity, rural status, and population density, countywide unemployment rates showed strong independent positive associations with Medicare imaging events (β = 26.96) and costs (β = 4.37), whereas uninsured rates showed strong independent positive associations with Medicare imaging costs (β = 2.68). Medicare imaging utilization and costs both vary far more at the county than at the state level. Unfavorable measures of county-level population economic status in the non-Medicare population are independently associated with greater Medicare imaging resource consumption. Future efforts to optimize Medicare imaging use should consider the influence of local indigenous socioeconomic factors outside the scope of traditional beneficiary-focused policy initiatives. Copyright © 2016 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Small-for-gestational age prevalence risk factors in central Appalachian states with mountain-top mining.

PubMed

Ferdosi, Hamid; Lamm, Steve H; Afari-Dwamena, Nana Ama; Dissen, Elisabeth; Chen, Rusan; Li, Ji; Feinleib, Manning

2018-01-01

To identify risk factors for small-for-gestational age (SGA) for counties in central Appalachian states (Kentucky (KY), Tennessee (TN), Virginia (VA), and West Virginia (WV)) with varied coal mining activities. Live birth certificate files (1990-2002) were used for obtaining SGA prevalence rates for mothers based on the coal mining activities of their counties of residence, mountain-top mining (MTM) activities, underground mining activities but no mountain-top mining activity (non-MTM), or having no mining activities (non-mining). Co-variable information, including maternal tobacco use, was also obtained from the live birth certificate. Adjusted odds ratios were obtained using multivariable logistic regression comparing SGA prevalence rates for counties with coal mining activities to those without coal mining activities and comparing SGA prevalence rates for counties with coal mining activities for those with and without mountain-top mining activities. Comparisons were also made among those who had reported tobacco use and those who had not. Both tobacco use prevalence and SGA prevalence were significantly greater for mining counties than for non-mining counties and for MTM counties than for non-MTM counties. Adjustment for tobacco use alone explained 50% of the increased SGA risk for mining counties and 75% of the risk for MTM counties, including demographic pre-natal care co-variables that explained 75% of the increased SGA risk for mining counties and 100% of the risk for MTM. The increased risk of SGA was limited to the third trimester births among tobacco users and independent of the mining activities of their counties of residence. This study demonstrates that the increased prevalence of SGA among residents of counties with mining activity was primarily explained by the differences in maternal tobacco use prevalence, an effect that itself was gestational-age dependent. Self-reported tobacco use marked the population at the increased risk for SGA in central Appalachian states. Int J Occup Med Environ Health 2018;31(1):11-23. This work is available in Open Access model and licensed under a CC BY-NC 3.0 PL license.

Are older adults living in more equal counties healthier than older adults living in more unequal counties? A propensity score matching approach.

PubMed

Choi, HwaJung; Burgard, Sarah; Elo, Irma T; Heisler, Michele

2015-09-01

We assessed the potential contextual effect of income inequality on health by: 1) comparing individuals with similar socioeconomic status (SES) but who reside in counties with different levels of income inequality; and 2) examining whether the potential effect of county-level income inequality on health varies across SES groups. We used the Health and Retirement Study, a nationally representative study of Americans over the age of 50. Using propensity score matching, we selected SES-comparable individuals living in high-income inequality counties and in low-income inequality counties. We examined differences in self-rated overall health outcomes and in other specific physical/mental health outcomes between the two groups using logistic regression (n = 34,994) and imposing different sample restrictions based on residential duration in the area. We then used logistic regression with interactions to assess whether, and if so how, health outcomes differed among participants of different SES groups defined by wealth, income, and education. In bivariate analyses of the unmatched full sample, adults living in high-income inequality counties have worse health outcomes for most health measures. After propensity score matching, adults in high-income inequality counties had worse self-rated health status (AOR = 1.12; 95% CI 1.04-1.19) and were more likely to report diagnosed psychiatric problems (AOR = 1.08; 95% CI 0.99-1.19) than their matched counterparts in low-income inequality counties. These associations were stronger with longer-term residents in the area. Adverse health outcomes associated with living in high-income inequality counties were significant particularly for individuals in the 30(th) or greater percentiles of income/wealth distribution and those without a college education. In summary, after using more precise matching methods to compare individuals with similar characteristics and addressing measurement error by excluding more recently arrived county residents, adults living in high-income inequality counties had worse reported overall physical and mental health than adults living in low-income inequality counties. Copyright © 2015 Elsevier Ltd. All rights reserved.

Are older adults living in more equal counties healthier than older adults living in more unequal counties? A propensity score matching approach

PubMed Central

Choi, HwaJung; Burgard, Sarah; Elo, Irma T.; Heisler, Michele

2015-01-01

We assessed the potential contextual effect of income inequality on health by: 1) comparing individuals with similar socioeconomic status (SES) but who reside in counties with different levels of income inequality; and 2) examining whether the potential effect of county-level income inequality on health varies across SES groups. We used the Health and Retirement Study, a nationally representative study of Americans over the age of 50. Using propensity score matching, we selected SES-comparable individuals living in high-income inequality counties and in low-income inequality counties. We examined differences in self-rated overall health outcomes and in other specific physical/mental health outcomes between the two groups using logistic regression (n=34,994) and imposing different sample restrictions based on residential duration in the area. We then used logistic regression with interactions to assess whether, and if so how, health outcomes differed among participants of different SES groups defined by wealth, income, and education. In bivariate analyses of the unmatched full sample, adults living in high-income inequality counties have worse health outcomes for most health measures. After propensity score matching, adults in high-income inequality counties had worse self-rated health status (AOR=1.12; 95% CI 1.04–1.19) and were more likely to report diagnosed psychiatric problems (AOR=1.08; 95% CI 0.99–1.19) than their matched counterparts in low-income inequality counties. These associations were stronger with longer-term residents in the area. Adverse health outcomes associated with living in high-income inequality counties were significant particularly for individuals in the 30th or greater percentiles of income/wealth distribution and those without a college education. In summary, after using more precise matching methods to compare individuals with similar characteristics and addressing measurement error by excluding more recently arrived county residents, adults living in high-income inequality counties had worse reported overall physical and mental health than adults living in low-income inequality counties. PMID:26256736

A comparison of rural high school students in Germany with rural Tennessee high school students' mathematics and science achievement

NASA Astrophysics Data System (ADS)

Harding, R. Fredrick

This descriptive study compared the science and mathematics aptitudes and achievement test scores for the final school year students in rural White County and Van Buren County, Tennessee with rural county students in Germany. In accordance with the previous research literature (Stevenson, 2002), German students outperformed U.S. students on The International Trends in Math and Science test (TIMSS). As reform in the U.S. education system has been underway, this study intended to compare German county student final school year performance with White County and Van Buren County (Grade 12) performance in science and mathematics. The entire populations of 176 White and Van Buren Counties senior high final school year students were compared with 120 school final year students from two rural German county high schools. The student responses to identical test and questionnaire items were compared using the t-test statistical analysis. In conclusion after t-test analyses, there was no significant difference (p>.05 level) in student attitudes on the 27 problem achievement and the 35 TIMSS questionnaire items between the sampled population of 120 German students compared with the population of 176 White and Van Buren students. Also, there was no statistically significant difference (p>.05 level) between the German, White, and Van Buren County rural science and math achievement in the TIMSS problem section of the final year test. Based on the research, recommendations to improve U.S. student scores to number one in the world include making changes in teaching methodology in mathematics and science; incorporating pamphlet lessons rather than heavily reliance on textbooks; focusing on problem solving; establishing an online clearinghouse for effective lessons; creating national standards in mathematics and science; matching students' course choices to job aspirations; tracking misbehaving students rather than mainstreaming them into the regular classroom; and designing individual educational plans for every student. Further study and future investigations are recommended from this study to compare White County and Van Buren County Students with other rural county schools in Tennessee, as well as other states. In addition, the Tennessee students' state mandated science and mathematics could be correlated to the TIMMS to identify trends and relationships. Future comparisons of White County and Van Buren County with higher scoring rural Asian students could be done in search of more effective methods of teaching science and mathematics.

U.S. Geological Survey cooperative water-resources programs in Chester County, Pennsylvania

USGS Publications Warehouse

Wood, Charles R.

1998-01-01

Since 1969, the U.S. Geological Survey (USGS) has had a cooperative water-resources investigation program with Chester County to measure and describe the water resources of the County. Generally, the USGS provides one-half of the program funding, and local cooperators are required to provide matching funds. Cooperation has been primarily with the Chester County Water Resources Authority (CCWRA), with participation from the Chester County Health Department and funding from the Chester County Board of Commissioners. Municipalities and the Red Clay Valley Association also have provided part of the funding for several projects. This report describes how the long-term partnership between the USGS and Chester County, Pa., provides the County with the information that it needs for sound water-resources management.The CCWRA was created in 1961, primarily for land acquisition and planning for flood-control and water-supply projects. With the backing of the Brandywine Valley Association, the CCWRA started its first cooperative project with the USGS in 1969. It was a study of the water-quality condition of Chester County streams with an emphasis on benthic macroinvertebrates and stream chemistry.The kinds of projects and data collection conducted by the USGS have changed with the needs of Chester County and the mission of the CCWRA. Chester County is experiencing rapid population growth (it had the tenth-highest rate of growth in the nation from 1980 to 1990). This growth places considerable stress on water resources and has caused the CCWRA to broaden its focus from flood control to water-supply planning, water quality, and ground-water and surface-water management. The results of USGS studies are used by the CCWRA and other County agencies, including the Planning Commission, Health Department, and Parks and Recreation Department, for conducting day-to-day activities and planning for future growth. The results also are used by the CCWRA to provide guidance and technical assistance to municipalities, water suppliers, industrial dischargers, watershed and conservancy associations and other civic organizations, state and Federal agencies, river basin commissions, and the private sector.The cooperative water-resources program, which is described in the following sections, benefits not only the citizens of Chester County but also serves the interests of the Federal Government. Innovative studies conducted in Chester County provide methods and interpretations that often can be used nationwide, and the headwaters of several interstate drainages lie within the County. Major program thrusts include collection of surface-water, ground-water, and water-quality data and interpretive studies. The use of this information also is described.

Hydrogeologic framework of LaSalle County, Illinois

USGS Publications Warehouse

Kay, Robert T.; Bailey, Clinton R.

2016-10-28

Water-supply needs in LaSalle County in northern Illinois are met by surface water and groundwater. Water-supply needs are expected to increase to serve future residential and mining uses. Available information on water use, geology, surface-water and groundwater hydrology, and water quality provides a hydrogeologic framework for LaSalle County that can be used to help plan the future use of the water resources.The Illinois, Fox, and Vermilion Rivers are the primary surface-water bodies in LaSalle County. These and other surface-water bodies are used for wastewater disposal in the county. The Vermilion River is used as a drinking-water supply in the southern part of the county. Water from the Illinois and Fox Rivers also is used for the generation of electric power.Glacial drift aquifers capable of yielding sufficient water for public supply are expected to be present in the Illinois River Valley in the western part of the county, the Troy Bedrock Valley in the northwestern part of the county, and in the Ticona Bedrock Valley in the south-central part of the county. Glacial drift aquifers capable of yielding sufficient water for residential supply are present in most of the county, although well yield often needs to be improved by using large-diameter wells. Arsenic concentrations above health-based standards have been detected in some wells in this aquifer. These aquifers are a viable source for additional water supply in some areas, but would require further characterization prior to full development.Shallow bedrock deposits comprising the sandstone units of the Ancell Group, the Prairie du Chien Group, dolomite of the Galena and Platteville Groups, and Silurian-aged dolomite are utilized for water supply where these units are at or near the bedrock surface or where overlain by Pennsylvanian-aged deposits. The availability of water from the shallow bedrock deposits depends primarily on the geologic unit analyzed. All these deposits can yield sufficient water for residential supply in at least some parts of the county, and sandstone deposits in the Ancell and Prairie du Chien Groups can yield sufficient water for residential or public supply in much of the county.The Cambrian-Ordovician aquifer system comprises the most widespread, productive aquifers in northern Illinois and is used for water supply by a number of municipalities in the county. Water levels in the aquifer system have declined by as much as 300 feet in parts of LaSalle County. The aquifer contains naturally occurring concentrations of radium that are higher than established health guidelines in much of the county.

Sustainable-yield estimation for the Sparta Aquifer in Union County, Arkansas

USGS Publications Warehouse

Hays, Phillip D.

2000-01-01

Options for utilizing alternative sources of water to alleviate overdraft from the Sparta aquifer and ensure that the aquifer can continue to provide abundant water of excellent quality for the future are being evaluated by water managers in Union County. Sustainable yield is a critical element in identifying and designing viable water supply alternatives. With sustainable yield defined and a knowledge of total water demand in an area, any unmet demand can be calculated. The ground-water flow model of the Sparta aquifer was used to estimate sustainable yield using an iterative approach. The Sparta aquifer is a confined aquifer of regional importance that comprises a sequence of unconsolidated sand units that are contained within the Sparta Sand. Currently, the rate of withdrawal in some areas greatly exceeds the rate of recharge to the aquifer and considerable water-level declines have occurred. Ground-water flow model results indicate that the aquifer cannot continue to meet growing water-use demands indefinitely and that water levels will drop below the top of the primary producing sand unit in Union County (locally termed the El Dorado sand) by 2008 if current water-use trends continue. Declines of that magnitude will initiate dewatering of the El Dorado sand. The sustainable yield of the aquifer was calculated by targeting a specified minimum acceptable water level within Union County and varying Union County pumpage within the model to achieve the target water level. Selection of the minimum target water level for sustainable-yield estimation was an important criterion for the modeling effort. In keeping with the State Critical Ground-Water Area designation criteria and the desire of water managers in Union County to improve aquifer conditions and bring the area out of the Critical Ground-Water Area designation, the approximate altitude of the top of the Sparta Sand in central Union County was used as the minimum water level target for estimation of sustainable yield in the county. A specific category of sustainable yield? stabilization yield, reflecting the amount of water that the aquifer can provide while maintaining current water levels? also was determined and provides information for short-term management. The top of the primary producing sand unit (the El Dorado sand) was used as the minimum water-level target for estimating stabilization yield in the county because current minimum water levels in central Union County are near the top of the El Dorado sand. Model results show that withdrawals from the Sparta aquifer in Union County must be reduced to 28 percent of 1997 values to achieve sustainable yield and maintain water levels at the top of the Sparta Sand if future pumpage outside of Union County is assumed to increase at the rate observed from 1985-1997. Results of the simulation define a very large current unmet demand and represent a substantial reduction in the county?s current dependence upon the aquifer. If future pumpage outside of Union County is assumed to increase at double the rate observed from 1985-1997, withdrawals from the Sparta aquifer in Union County must be reduced to 25 percent of 1997 values to achieve sustainable yield. Withdrawals from the Sparta aquifer in Union County must be reduced to about 88 to 91 percent (depending on pumpage growth outside of the county) of 1997 values to stabilize water levels at the top of the El Dorado sand. This result shows that 1997 rate of withdrawal in the county is considerably greater than the rate needed to halt the rapid decline in water levels.

4 CFR 7.3 - Political activities.

Code of Federal Regulations, 2012 CFR

2012-01-01

... Glendarden Glen Echo Greenbelt Howard County Hyattsville Kensington Landover Hills Montgomery County... Georges County Riverdale Rockville Seat Pleasant Somerset Takoma Park University Park Washington Grove In...

4 CFR 7.3 - Political activities.

Code of Federal Regulations, 2010 CFR

2010-01-01

... Glendarden Glen Echo Greenbelt Howard County Hyattsville Kensington Landover Hills Montgomery County... Georges County Riverdale Rockville Seat Pleasant Somerset Takoma Park University Park Washington Grove In...

4 CFR 7.3 - Political activities.

Code of Federal Regulations, 2011 CFR

2011-01-01

... Glendarden Glen Echo Greenbelt Howard County Hyattsville Kensington Landover Hills Montgomery County... Georges County Riverdale Rockville Seat Pleasant Somerset Takoma Park University Park Washington Grove In...

4 CFR 7.3 - Political activities.

Code of Federal Regulations, 2014 CFR

2014-01-01

... Glendarden Glen Echo Greenbelt Howard County Hyattsville Kensington Landover Hills Montgomery County... Georges County Riverdale Rockville Seat Pleasant Somerset Takoma Park University Park Washington Grove In...

4 CFR 7.3 - Political activities.

Code of Federal Regulations, 2013 CFR

2013-01-01

... Glendarden Glen Echo Greenbelt Howard County Hyattsville Kensington Landover Hills Montgomery County... Georges County Riverdale Rockville Seat Pleasant Somerset Takoma Park University Park Washington Grove In...

76 FR 20291 - Approval and Promulgation of Implementation Plans and Designations of Areas for Air Quality...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-04-12

... their entireties, and a portion of Walker County in Alabama. This proposed determination of attaining... Birmingham Area (comprised of Jefferson and Shelby Counties in their entireties, and a portion of Walker... Jefferson and Shelby Counties in their entireties, and a portion of Walker County in Alabama. Under EPA...

78 FR 54651 - Maximum Per Diem Rates for the Continental United States (CONUS)

Federal Register 2010, 2011, 2012, 2013, 2014

2013-09-05

... new non-standard areas (NSAs): Big Spring, TX (Howard County); and Pearsall, TX (Frio, La Salle, and Medina Counties). The City of Hershey, PA, is now a separate NSA from Harrisburg, PA. In addition, Pasco, WA (Franklin County) and Richland, WA (Benton County) have been merged into a single NSA. Finally...

75 FR 26709 - Clarke County Water Supply Project, Clarke County, IA

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-12

... Project, Clarke County, IA AGENCY: Natural Resources Conservation Service. ACTION: Notice of intent to... Conservationist for Planning, 210 Walnut Street, Room 693, Des Moines, IA 50309-2180, telephone: 515-284- 4769... available at the Iowa NRCS Web site at http://www.ia.nrcs.usda.gov . A map of the Clarke County Water Supply...

Oak management by county jurisdictions in the central Sierra Nevada, California

Treesearch

Richard R. Harris; Susan D. Kocher

2002-01-01

We evaluated county planning policies and procedures to determine what protection is provided to oak woodlands during the land development process. We selected three Sierra Nevada counties to do a pilot assessment: El Dorado, Placer and Madera. The assessment methodology included three components: 1) analysis of county plans, policies, guidelines, and ordinances to...

Alternative Fuels Data Center: North Carolina's Henderson County Focuses on

Science.gov Websites

Natural Gas North Carolina's Henderson County Focuses on Natural Gas to someone by E-mail Share Alternative Fuels Data Center: North Carolina's Henderson County Focuses on Natural Gas on Facebook Tweet about Alternative Fuels Data Center: North Carolina's Henderson County Focuses on Natural Gas on Twitter

County-Level Variation in the Prevalence of Medicaid-Enrolled Children with Autism Spectrum Disorders

ERIC Educational Resources Information Center

Mandell, David S.; Morales, Knashawn H.; Xie, Ming; Polsky, Daniel; Stahmer, Aubyn; Marcus, Steven C.

2010-01-01

This study examined how county-level resources are associated with the identification of children with autism spectrum disorders (ASD) in Medicaid. Medicaid claims from 2004 were combined with county-level data. There were 61,891 children diagnosed with ASD in the Medicaid system in 2004. Counties with lower per-student education expenditures,…

77 FR 514 - Correction for Conveyance of Public Lands for Recreation and Public Purposes in Clark County, NV

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-05

... Public Purposes in Clark County, NV AGENCY: Bureau of Land Management, Interior. ACTION: Notice of Realty... Church Community in the City of Las Vegas, Clark County, Nevada. FOR FURTHER INFORMATION CONTACT: Shawna..., more or less in Clark County, Nevada. Authority: 43 CFR 2741.5. Vanessa L. Hice, Assistant Field...

76 FR 29784 - Notice of Correction for Conveyance of Public Lands for Airport Purposes in Clark County, NV

Federal Register 2010, 2011, 2012, 2013, 2014

2011-05-23

... Purposes in Clark County, NV AGENCY: Bureau of Land Management, Interior. ACTION: Notice of correction..., Clark County, Nevada. FOR FURTHER INFORMATION CONTACT: Philip Rhinehart, (702) 515-5182, or [email protected] conveyance to the Clark County Department of Aviation for the Henderson Executive Airport are correctly and...

The Economic Impact of Johnson County Community College on Johnson County, 1993-94.

ERIC Educational Resources Information Center

Johnson County Community Coll., Overland Park, KS. Office of Institutional Research.

In 1995, Johnson County Community College (JCCC), in Kansas, conducted a study to estimate the economic benefit contributed by the college to the Johnson County economy for 1993-94. Following a model developed by J. G. Ryan, direct economic impact was assessed by examining institutional expenditures, expenditures by college employees, and…

78 FR 38001 - Special Local Regulations; Marine Events, Breton Bay; St. Mary's County, Leonardtown, MD

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-25

...-AA08 Special Local Regulations; Marine Events, Breton Bay; St. Mary's County, Leonardtown, MD AGENCY... marine event to be held on the waters of Breton Bay in St. Mary's County, Maryland on July 13, 2013, and... ``Special Local Regulations; Marine Events, Breton Bay; St. Mary's County, Leonardtown, MD'' in the Federal...

75 FR 31835 - Environmental Impact Statement: Calvert and St. Mary's Counties, MD

Federal Register 2010, 2011, 2012, 2013, 2014

2010-06-04

...: Calvert and St. Mary's Counties, MD AGENCY: Federal Highway Administration (FHWA), DOT. ACTION: Notice of... project in Calvert and St. Mary's Counties, Maryland (Federal Register Vol. 72, No. 203; FR Doc. 07-5190... replacement of MD 4 from MD 2 to MD 235 in Calvert and St. Mary's Counties, a distance of approximately 4.1...

Service Integration in San Mateo County, California: Multiple Strategies with a Single Goal.

ERIC Educational Resources Information Center

Ragan, Mark

Over the past decade, the Human Services Agency (HSA) of San Mateo County, California, has implemented a series of management and staff processes designed to facilitate the delivery of services to county residents. Examples of these services are as follows: (1) regionalization (HSA offices are located throughout the county, and office staff and…

78 FR 12033 - Foreign-Trade Zone 37-Orange County, NY, Application for Reorganization (Expansion of Service...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-02-21

... DEPARTMENT OF COMMERCE Foreign-Trade Zones Board [B-14-2013] Foreign-Trade Zone 37--Orange County... application has been submitted to the Foreign-Trade Zones (FTZ) Board (the Board) by the County of Orange... service area that includes Orange and Duchess Counties, New York. The applicant is now requesting...

41 CFR 102-173.60 - What is the naming convention for Counties or Parishes?

Code of Federal Regulations, 2014 CFR

2014-01-01

... TELECOMMUNICATIONS 173-INTERNET GOV DOMAIN Registration § 102-173.60 What is the naming convention for Counties or Parishes? (a) To register any second-level domain within dot-gov, County or Parish governments must.... Examples of preferred domain names include— (1) Richmondcounty-ga.gov; (2) Pwc-county-va.gov; and (3...

41 CFR 102-173.60 - What is the naming convention for Counties or Parishes?

Code of Federal Regulations, 2012 CFR

2012-01-01

... TELECOMMUNICATIONS 173-INTERNET GOV DOMAIN Registration § 102-173.60 What is the naming convention for Counties or Parishes? (a) To register any second-level domain within dot-gov, County or Parish governments must.... Examples of preferred domain names include— (1) Richmondcounty-ga.gov; (2) Pwc-county-va.gov; and (3...

41 CFR 102-173.60 - What is the naming convention for Counties or Parishes?

Code of Federal Regulations, 2013 CFR

2013-07-01

... TELECOMMUNICATIONS 173-INTERNET GOV DOMAIN Registration § 102-173.60 What is the naming convention for Counties or Parishes? (a) To register any second-level domain within dot-gov, County or Parish governments must.... Examples of preferred domain names include— (1) Richmondcounty-ga.gov; (2) Pwc-county-va.gov; and (3...

41 CFR 102-173.60 - What is the naming convention for Counties or Parishes?

Code of Federal Regulations, 2010 CFR

2010-07-01

... TELECOMMUNICATIONS 173-INTERNET GOV DOMAIN Registration § 102-173.60 What is the naming convention for Counties or Parishes? (a) To register any second-level domain within dot-gov, County or Parish governments must.... Examples of preferred domain names include— (1) Richmondcounty-ga.gov; (2) Pwc-county-va.gov; and (3...

41 CFR 102-173.60 - What is the naming convention for Counties or Parishes?

Code of Federal Regulations, 2011 CFR

2011-01-01

... TELECOMMUNICATIONS 173-INTERNET GOV DOMAIN Registration § 102-173.60 What is the naming convention for Counties or Parishes? (a) To register any second-level domain within dot-gov, County or Parish governments must.... Examples of preferred domain names include— (1) Richmondcounty-ga.gov; (2) Pwc-county-va.gov; and (3...

Trouble Brewing in Orange County. Policy Brief

ERIC Educational Resources Information Center

Buck, Stuart

2010-01-01

Orange County will soon face enormous budgetary pressures from the growing deficits in public pensions, both at a state and local level. In this policy brief, the author estimates that Orange County faces a total $41.2 billion liability for retiree benefits that are underfunded--including $9.4 billion for the county pension system and an estimated…

County Community Development Studies. No. 2: Extensions Library on Tape, Sarasota County.

ERIC Educational Resources Information Center

Rozar, Luther L.; And Others

A study was conducted in Sarasota County, Florida, to determine the feasibility of implementing a County Extension Service library on telecassette tape that could be dialed by phone callers. The system would allow office callers access to two-to-three-minute tape recordings containing information on many common problems. A survey instrument…

Where Is the Metropolitan U.S.?

ERIC Educational Resources Information Center

Crews, Kimberly A.

1987-01-01

A Metropolitan Statistical Area (MSA) may be comprised of one or more counties, can cross state lines, and must contain a city or urbanized area of 50,000 or more people. The population of the whole county (or counties) is included in the MSA even if part of the county is rural. A Consolidated Metropolitan Statistical Area (CMSA) must have over…

75 FR 48930 - Project Waiver Granted to Custer County, South Dakota for the Purchase of Foreign Manufactured...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-08-12

... criteria specified for this HVAC system. II. Non-Availability Finding The Secretary has determined that... HVAC systems manufactured in the United States that are available at this time to meet the County's... team and architects supports the County's claim that a suitable HVAC system which meets the County's...

75 FR 59285 - Endangered and Threatened Wildlife and Plants; Permit, San Luis Obispo County, CA

Federal Register 2010, 2011, 2012, 2013, 2014

2010-09-27

...] Endangered and Threatened Wildlife and Plants; Permit, San Luis Obispo County, CA AGENCY: U.S. Fish and... project in the community of Los Osos, San Luis Obispo County, California. We invite comments from the... community of Los Osos, San Luis Obispo County, California. The parcel is legally described as Assessor...

Effective Methodology for Teaching Beginning Reading in English to Bilingual Adults.

ERIC Educational Resources Information Center

Sainz, Jo-Ann; Biggins, Maria Goretti

A systematic model for accelerating the process of developing the word decoding skills and building the vocabularies of bilingual adults was used among prison populations in Rockland County, Dutchess County, Suffolk County, and Essex County, New York, as well as in work-study programs in community centers in New York City. Literacy levels of the…

Coping with Resource Management Challenges in Mumias Sub-County, Kakamega County, Kenya

ERIC Educational Resources Information Center

Anyango, Onginjo Rose; Orodho, John Aluko

2016-01-01

The gist of the study was to examine the main coping strategies used to manage resources in public secondary schools in Mumias Sub-County, Kakamega County, Kenya. The study was premised on Hunts (2007) theory on project management. A descriptive survey design was adopted. A combination of purposive and simple random sampling techniques were used…

Research Methods in Environmental Studies: A County Planning Application in Colorado.

ERIC Educational Resources Information Center

Gruntfest, Eve C.

To obtain practical experience, a research methods class at the University of Colorado (Colorado Springs) undertook a special project to help a nearby county (Park County), assess its planning needs. The county was chosen for its characteristics as a rapidly growing rural area faced with the problems created by mounting population pressure on…

17. "Concrete Bridge Over Salt River, Port Kenyon, Humboldt County, ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

17. "Concrete Bridge Over Salt River, Port Kenyon, Humboldt County, California, A.J. Logan, County Surveyor, H.J. Brunnier, Consulting Engineer, March 7, 1919," showing plan of bars in top flange, elevation of girder reinforcement, plan of bars in bottom flange - Salt River Bridge, Spanning Salt River at Dillon Road, Ferndale, Humboldt County, CA

15. 'Concrete Bridge Over Salt River, Port Kenyon, Humboldt County, ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

15. 'Concrete Bridge Over Salt River, Port Kenyon, Humboldt County, California, A.J. Logan, County Surveyor, H.J. Brunnier, Consulting Engineer, March 7, 1919,' showing general plan, plan of top chord, elevation of main girder, transverse section, plan section at deck level. - Salt River Bridge, Spanning Salt River at Dillon Road, Ferndale, Humboldt County, CA

18. "Concrete Bridge Over Salt River, Port Kenyon, Humboldt County, ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

18. "Concrete Bridge Over Salt River, Port Kenyon, Humboldt County, California, A.J. Logan, County Surveyor, H.J. Brunnier, Consulting Engineer, March 7, 1919," showing elevation of center pier, elevation and plan of north and south abutments, sections of abutments, pier, and pier footings - Salt River Bridge, Spanning Salt River at Dillon Road, Ferndale, Humboldt County, CA

77 FR 46435 - Notice To All Interested Parties of the Termination of the Receivership of 10039, Sherman County...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-03

... Receivership of 10039, Sherman County Bank, Loup City, NE Notice is hereby given that the Federal Deposit Insurance Corporation (``FDIC'') as Receiver for Sherman County Bank, (``the Receiver'') intends to terminate its receivership for said institution. The FDIC was appointed receiver of Sherman County Bank on...

Case Study: Hunterdon County Polytech Career Academy.

ERIC Educational Resources Information Center

Southern Regional Education Board (SREB), 2012

2012-01-01

At first glance, Hunterdon County Polytech Career Academy (HCP) in Flemington, New Jersey, looks like a dream school. This shared-time career academy is an autonomous school district located in Hunterdon County--a county with one of the highest per-capita incomes in the United States--and is 60 miles from both New York City and Philadelphia. HCP…

Youth Representation on County Government Committees: Youth in Governance in Kenosha County, Wisconsin

ERIC Educational Resources Information Center

Calvert, Matthew; de Montmollin, John; Winnett, Tedi

2015-01-01

The Kenosha County Youth in Governance program was created to build leadership skills and civic engagement opportunities for high school-aged students by placing two youth representatives on each of the Kenosha County Board of Supervisors standing committees. In reviewing data from 3 years of youth participants, the program was effective in…