Farm Service Agency: Characteristics of Small County Offices (Letter Report, 05/28/1999, GAO/RCED-99-162). Historically, the Department of Agriculture's (USDA) Farm Service Agency has provided personalized service to farmers through thousands of field offices scattered across the country. These county offices run various commodity, loan, conservation, and emergency disaster assistance programs. In 1994, USDA was required to combine its field offices and reduce personnel and duplicative overhead expenses. Since then, the Farm Service Agency has closed more than 370 county offices and cut its county office staff by about 28 percent. These reductions were achieved primarily by closing and consolidating smaller county offices and by reducing staff at larger county offices. This report provides information on (1) the number of Farm Service Agency county offices with three or fewer permanent full-time workers; (2) the characteristics of these offices, including their proximity to another county office, their workload, the level of program benefits delivered, the relative contribution of farming to total county income, and the number of farms and farmland acres in the counties served by these offices; and (3) the ways in which varying the criteria associated with these characteristics can affect the number of county offices that are candidates for closure and consolidation. --------------------------- Indexing Terms ----------------------------- REPORTNUM: RCED-99-162 TITLE: Farm Service Agency: Characteristics of Small County Offices DATE: 05/28/1999 SUBJECT: Comparative analysis Reductions in force Federal downsizing Federal agency reorganization Agricultural programs Statistical data Farm income stabilization programs IDENTIFIER: National Performance Review ****************************************************************** ** This file contains an ASCII representation of the text of a ** ** GAO report. 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For further details, please ** ** send an e-mail message to: ** ** ** **** ** ** ** with the message 'info' in the body. ** ****************************************************************** Cover ================================================================ COVER Report to the Chairman, Committee on the Budget, House of Representatives May 1999 FARM SERVICE AGENCY - CHARACTERISTICS OF SMALL COUNTY OFFICES GAO/RCED-99-162 Farm Service Agency (150080) Abbreviations =============================================================== ABBREV FSA - Farm Service Agency GAO - General Accounting Office USDA - U.S. Department of Agriculture Letter =============================================================== LETTER B-282568 May 28, 1999 The Honorable John R. Kasich Chairman, Committee on the Budget House of Representatives Dear Mr. Chairman: The Federal Crop Insurance Reform and Department of Agriculture Reorganization Act of 1994 (P.L. 103-354, Oct. 13, 1994), also known as the Reorganization Act of 1994, directed the Secretary of Agriculture to combine the U.S. Department of Agriculture's (USDA) field offices and to reduce personnel and duplicative overhead expenses, where practicable and to the extent consistent with efficient, effective, and improved service. Historically, USDA has provided personalized assistance to farmers through thousands of offices located in the nation's agricultural counties. The Department's Farm Service Agency (FSA) has county offices that administer a variety of commodity, loan, conservation, and emergency disaster assistance programs. Since December 1994, FSA has closed over 370 county offices and reduced its county office staff by about 28 percent. These reductions were achieved primarily by closing and consolidating smaller county offices and reducing the staff at larger county offices. You asked us to provide information on (1) the number of FSA county offices with three or fewer permanent full-time employees (hereafter referred to as small county offices); (2) the characteristics of these offices, including their proximity to another county office, their workload, the level of FSA program benefits delivered, the relative contribution of farming to total county income, and the number of farms and farmland acres in the counties served by these offices; and (3) the ways in which varying the criteria associated with these characteristics can affect the number of county offices that are candidates for closure and consolidation. RESULTS IN BRIEF ------------------------------------------------------------ Letter :1 As of November 1998, 673 of the nearly 2,400 Farm Service Agency county offices, or almost 28 percent, had three or fewer permanent full-time employees. Most small offices, about 58 percent, had three employees, and the remaining small offices had two or fewer employees. About 28 percent of these small offices serve two or more counties. Small county offices are located in every state except Rhode Island. The number of small offices in each state varies greatly, ranging from one to 88. Additionally, the number of small offices as a percentage of total county offices in each state varies greatly, ranging from about 2 percent in Iowa and South Dakota to 100 percent in Alaska. About 86 percent of these small offices are located within an estimated 50-mile drive of another county office; about 43 percent are within 25 miles of another office. On average, employees in small offices spent a higher percentage of their time on administrative duties (as opposed to program delivery duties) than their counterparts in larger offices in fiscal year 1997: 46 percent and 32 percent, respectively. Regarding program benefits, small offices provided benefits to an average of 296 farmers in 1997, compared with an average of 848 for larger offices. For 1997, the dollar value of these benefits averaged about $1 million in small offices and about $4 million in larger offices. On average, farming accounted for about 1.3 percent of total income for the counties served by small offices in 1995-96; this average was about 3.7 percent for counties served by larger offices. In addition, small offices served areas (one or more counties) containing, on average, about 720 farms and 367,000 farmland acres in 1997; in contrast, larger offices served areas with, on average, about 836 farms and 402,000 farmland acres. The number of Farm Service Agency county offices that are candidates for closure and consolidation varies, depending on which characteristics are considered and the criteria, or thresholds, set for these characteristics. For example, 45 of the 673 small offices met all of the following thresholds for three significant characteristics--they were located within 25 miles (estimated driving distance) of another county office, spent at least 50 percent of their time on administrative duties, and distributed financial benefits to fewer than 350 farmers. By changing the threshold for one of the three characteristics, the number of offices with potential for closure and consolidation will change. For example, by increasing the proximity threshold from 25 to 50 miles, 140 offices show potential for closure and consolidation. By decreasing the time spent on administrative duties from at least 50 percent to at least 40 percent, 110 offices show potential for closure and consolidation. By increasing the number of farmers who receive Farm Service Agency financial benefits from fewer than 350 to fewer than 500, 49 offices show potential for closure and consolidation. However, before closing and consolidating any small office, other factors need to be considered, including whether the office serves a sizeable population of minority, socially disadvantaged, or limited-resource farmers. BACKGROUND ------------------------------------------------------------ Letter :2 USDA has delivered farm program assistance through county offices since 1933. At that time, to serve more than 6 million farmers, the Agricultural Stabilization and Conservation Service (FSA's predecessor) had a county office in most of the agricultural counties in the United States. Over the past 65 years, the number of farmers in the United States has declined to about 1.9 million, and farming activity is increasingly concentrated in certain regions of the country. Despite these changes in the demographics of U.S. agriculture, USDA has, until recently, been slow to change the field structure of its county offices. In response to the Government Performance and Results Act of 1993 and the Vice-President's National Performance Review, the Secretary of Agriculture initiated a departmental reorganization to refocus and simplify the Department's headquarters structure, improve accountability and service to customers, reform the Department's field structure, and reduce costs. Several components of the Secretary's reorganization required enabling legislation, which the Congress provided in the Reorganization Act of 1994. Since the passage of that act, FSA has closed and consolidated over 370 county offices, or almost 14 percent of the 2,773 offices operating at the end of 1994.\1 In closing these offices, FSA transferred files, equipment, and staff, as appropriate, to another of its county offices so that farmers in the affected counties would continue to be supported. However, these farmers must now drive to an FSA office in another county for assistance. Although this may create some inconvenience for these farmers, FSA officials noted that other means of doing business make it increasingly unnecessary for farmers to visit county offices in person to apply for farm program assistance. For example, program information and application forms are available to farmers by mail, facsimile, or via the Internet. Although the agency has already closed and consolidated a number of its county offices, FSA officials said that there is further potential to streamline its county office structure. An FSA task force composed of FSA state executive directors is currently studying this issue. In addition, while testifying before the House Committee on Agriculture in March 1999, the Secretary of Agriculture indicated that USDA's field structure needed more streamlining, particularly in closing and consolidating small offices. In addition to the streamlining authority provided to the Secretary in the Reorganization Act of 1994, more recent legislation offers the potential to reduce FSA county offices' workload. Specifically, the 1996 farm bill--the Federal Agriculture Improvement and Reform Act of 1996 (P.L. 104-127, Apr. 4, 1996)--fundamentally changed the federal government's role in supporting agriculture by eliminating or reducing the scope of several farm assistance programs. For example, under the 1996 act, annual calculations of acreage devoted to agriculture and associated payments to farmers were discontinued and replaced by 7-year production flexibility contracts that provide annual payments to farmers through 2002. USDA and the Office of Management and Budget projected that workload and staffing in county offices would decline because of these changes; for its part, the Office of Management and Budget proposed reducing FSA's county office staff by more than 50 percent by 2002. However, the impact of the 1996 act on FSA county offices' workload is difficult to determine, largely because of an increase in workload in many county offices that are assisting farmers in areas hit hard by sharply lower commodity prices or severe weather problems in 1998. Over the past 2 years, we have issued several reports addressing various aspects of USDA's reorganization, including the Department's progress in addressing the specific goals set forth in the Reorganization Act of 1994. (See Related GAO Products.) -------------------- \1 In addition to FSA, several other USDA agencies have been streamlining their field structures in response to the authority provided by the Reorganization Act of 1994. These agencies include the Natural Resources Conservation Service and the agencies in the Rural Development mission area. APPROXIMATELY ONE-FOURTH OF FSA'S COUNTY OFFICES HAVE THREE OR FEWER EMPLOYEES ------------------------------------------------------------ Letter :3 As of November 1998, about 28 percent, or 673, of the nearly 2,400 FSA county offices across the United States had three or fewer permanent full-time employees. In addition to these employees, these offices may use part-time or seasonal employees when required by workload exigencies. These small county offices were located in every state except Rhode Island, with the number of small offices varying by state, ranging from one each in Delaware and South Dakota to 88 in Texas. In one state--Alaska--all of the FSA county offices had three or fewer employees. Nationwide, most small offices served one county; however, about 28 percent of these offices served one to five neighboring counties in addition to the county in which they are located. Appendix I lists the number of small FSA county offices and the total number of FSA county offices in each state. Figure 1 depicts small FSA county offices having three, two, one, or no permanent full-time employees as a percentage of the total number of small county offices. Figure 2 illustrates the locations of small FSA county offices in the 48 contiguous states. Figure 1: Number of Small FSA County Offices with Three, Two, One, or No Permanent Full-Time Employees as a Percent of the 673 Small County Offices, as of November 1998 (See figure in printed edition.) Note: Percentages may not add to 100 percent due to rounding. Generally, the work of an office with no permanent full-time employee is conducted by part-time or seasonal employees, or by employees loaned by another county office. Source: GAO's analysis of FSA's data. Figure 2: Location of Small FSA County Offices, as of October 1998 (See figure in printed edition.) Note: Excludes Alaska and Hawaii. Source: GAO's analysis of FSA's data. CHARACTERISTICS OF SMALL FSA COUNTY OFFICES ------------------------------------------------------------ Letter :4 Most small FSA county offices are in relatively close proximity to another county office--about 86 percent are within a 50-mile drive of another office. Compared with employees in larger FSA county offices (offices with four or more permanent full-time employees), small county office employees generally spent a greater percentage of their time on administrative duties than on program delivery in fiscal year 1997. Small offices also provided financial benefits to fewer farmers, on average, than their larger counterparts that year. Generally speaking, small offices served counties that do not depend on farming income for a substantial portion of total county income, with farming income usually amounting to less than 2 percent of the total. In addition, small county offices served counties containing an average of about 720 farms and 367,000 farmland acres in 1997, which was lower than the average for their larger counterparts. Appendix II provides detailed information on these characteristics for each of the 673 small FSA county offices. PROXIMITY TO ANOTHER FSA COUNTY OFFICE ---------------------------------------------------------- Letter :4.1 About 86 percent of small FSA county offices are within an estimated 50-mile drive of another FSA county office within the same state. The estimated driving distance between offices varied from approximately 6 miles between two offices in New York to approximately 280 miles between two offices in Alaska. According to FSA officials, reasonable access to a county office for farmers should be a key consideration in deciding whether to close a county office and transfer its workload to another county office. Specifically, these officials said that farmers in a county losing its FSA office should not be unduly inconvenienced in terms of how far they may have to drive to conduct business in another FSA county office. For example, in closing over 370 county offices since 1994, FSA generally used a threshold of 25 miles (driving distance) as a gauge of reasonable access. Applying this criterion to small FSA county offices, we found that about 43 percent, or 287, of these offices are within a 25-mile drive of another county office in the same state. Table I provides additional information on the distribution of small FSA county offices according to selected driving distance criteria. Table 1 Distribution of Small FSA County Offices According to Selected Driving Distance Criteria Number of small FSA county Estimated driving distance in miles to offices and percent of total the nearest FSA county office (same (673) small offices they state) represent ---------------------------------------- ---------------------------- 25 287 (43%) 30 401 (60%) 35 480 (71%) 40 526 (78%) 45 557 (83%) 50 582 (86%) ---------------------------------------------------------------------- Note: Percentages have been rounded. Source: GAO's analysis of FSA's information on county office location and mapping software--Geographic Information Systems and MapQuest.com, Inc. Some FSA officials have indicated that it may be possible to consolidate FSA offices across state lines, although FSA did not use this option in the county office closures and consolidations that have occurred since 1994. These officials noted, however, that issues related to FSA's field office structure, including the supervisory relationship of state offices to county offices and the control of FSA staff resources within a state, would have to be considered. Regarding possible interstate consolidations, our analysis found 73 cases in which the closest FSA county office to a small county office was across a state line. See appendix III for a listing of these offices. COUNTY OFFICE WORKLOAD ---------------------------------------------------------- Letter :4.2 Employees in small FSA county offices spent, on average, a higher percent of their time performing administrative duties instead of program delivery duties when compared with their counterparts in larger county offices during fiscal year 1997. Specifically, employees in small offices spent, on average, about 46 percent of their time performing such administrative tasks as reading mail, maintaining files, processing payrolls, and updating collection and disbursement registers.\2 In contrast, employees in larger county offices spent, on average, about 32 percent of their time on these duties. -------------------- \2 Workload data were not available for 51 small offices because FSA combined these data with data from another office. In addition, workload data were not available for seven small offices located in either Alaska or Hawaii because FSA does not collect workload data for these states. NUMBER OF FARMERS WHO RECEIVED FSA FINANCIAL BENEFITS AND THE AMOUNT OF THESE BENEFITS ---------------------------------------------------------- Letter :4.3 On average, small FSA county offices provided the financial benefits of farm programs to fewer farmers than did larger county offices, and the dollar value of the benefits paid by small offices was also less. Specifically, the average number of farmers served by small offices in 1997 was 296, compared with an average of 848 farmers for larger offices. Regarding the dollar value of these benefits, the average amount of benefits paid by small offices was about $1 million, while the average amount for larger offices was about $4 million. Table 2 provides information on the distribution of small offices providing benefits to various numbers of farmers in 1997. Table 3 provides information on the distribution of these offices according to various levels of financial benefits that they provided in 1997. Table 2 Distribution of Small FSA County Offices Providing Benefits to Various Numbers of Farmers, 1997 Number of farmers who received Number of small county offices and FSA financial benefits in each percent of total small offices (673) small county office they represent ------------------------------ -------------------------------------- <200 293 (44%) <400 500 (74%) <600 592 (88%) <800 633 (94%) ---------------------------------------------------------------------- Source: GAO's analysis of FSA's data. Table 3 Distribution of Small FSA County Offices According to the Levels of Financial Benefits They Provided to Farmers, 1997 Number of small county offices and percent of total Dollar value of FSA financial benefits small offices (673) they provided by each small county office represent ---------------------------------------- ---------------------------- <$250,000 207 (31%) <$500,000 320 (48%) <$1,000,000 458 (68%) <$2,500,000 592 (88%) <$5,000,000 648 (96%) ---------------------------------------------------------------------- Source: GAO's analysis of FSA's data. Nationwide, small FSA county offices provided financial benefits under the farm programs to about 12 percent of all farmers who received these benefits in 1997or about 200,000 of about 1.6 million farmers who received benefits. In terms of their dollar value, these benefits accounted for about 9.8 percent (approximately $733.7 million) of the about $7.5 billion in benefits distributed that year. FARMING'S CONTRIBUTION TO TOTAL COUNTY INCOME ---------------------------------------------------------- Letter :4.4 On average, farming's contribution to total county income was small in the counties served by small FSA county offices. Specifically, farm income averaged about 1.3 percent of total income in these counties in calendar years 1995 and 1996, the years with the most current data available; this average was 3.7 percent for the counties served by larger offices. However, in a few cases, small FSA county offices served counties in which farm income contributed significantly to total county income. For instance, farm income accounted for 20 percent or more of total county income in 11 of the counties served by small FSA county offices. In contrast, USDA's Economic Research Service has reported that 556 counties in the United States derive 20 percent of more of their total income from farming activities.\3 Although the percent of total county income represented by farm income was low in most counties served by small FSA county offices, the dollar value of farming activity in some of these counties may have been significant. For example, although farm income represented only about 1 percent of the total income in one Florida county served by a small office, the dollar value of this farm income was about $79 million. In other cases, although the percentage of total income represented by farm income was relatively high, the dollar value of this agricultural activity was relatively small. For example, although farm income accounted for about 36 percent of the total income in one Texas county served by a small office, the dollar value of this farm income was about $40 million. -------------------- \3 Understanding Rural America, Agriculture Information Bulletin Number 710, Feb. 1995. NUMBER OF FARMS AND FARMLAND ACRES ---------------------------------------------------------- Letter :4.5 On average, small FSA county offices served areas (one or more counties) with about 720 farms and about 367,000 farmland acres. In contrast, larger county offices served areas that had, on average, about 836 farms and 402,000 farmland acres. The number of farms in areas served by small FSA county offices ranged from 67 for a North Carolina county office to over 4,300 farms for an Oregon county office. The number of farmland acres ranged from almost 16,000 for a Kentucky county office to almost 8 million for an Arizona county office.\4 Table 4 provides information on the distribution of small county offices according to the number of farms located in the counties served by these offices. Table 4 Distribution of Small FSA County Offices According to the Number of Farms in the Counties They Serve Number of small county offices and percent of total small offices (673) they Number of farms in county represent ---------------------------------------- ---------------------------- <300 98 (15%) <600 340 (51%) <900 510 (76%) <1,200 579 (86%) <1,500 619 (92%) ---------------------------------------------------------------------- Note: Some small offices serve more than one county; farms in the additional county or counties served have been included in the totals for these offices. Source: GAO's analysis of USDA's 1997 Census of Agriculture data. Table 5 provides information on the distribution of these offices according to the farmland acres in the counties served by these offices. Table 5 Distribution of Small FSA County Offices According to the Number of Farmland Acres in the Counties They Serve Number of small county offices and percent of total small offices (673) they Number of farmland acres in the county represent ---------------------------------------- ---------------------------- <100,000 178 (26%) <200,000 379 (56%) <300,000 467 (69%) <400,000 497 (74%) <500,000 537 (80%) ---------------------------------------------------------------------- Note: Some small offices serve more than one county; farmland acreage in the additional county or counties served has also been included in the totals for these offices. Source: GAO's analysis of USDA's 1997 Census of Agriculture data. -------------------- \4 The 1997 Census of Agriculture generally defines a farm as any place from which $1,000 or more of agricultural products were produced and sold, or normally would have been sold, during the reference year. THE NUMBER OF SMALL FSA COUNTY OFFICES THAT ARE CANDIDATES FOR CLOSURE AND CONSOLIDATION VARIES DEPENDING ON THE CHARACTERISTICS AND THRESHOLDS CONSIDERED ------------------------------------------------------------ Letter :5 The number of small FSA county offices that are candidates for closure and consolidation will vary depending on which characteristics are considered and the criteria or thresholds set for these characteristics. For example, 45 of the 673 offices met all of the following thresholds for three significant characteristicsthey were located within an estimated 25-mile drive of another county office, spent at least 50 percent of their time on administrative duties in fiscal year 1997, and distributed the financial benefits of farm programs to fewer than 350 farmers in calendar year 1997.\5 However, by changing the initial threshold for one or more of these characteristics, the number of offices (and their identity) with potential for closure and consolidation will change. Before closing and consolidating any small office, other factors need to be considered, including whether the office serves a sizeable population of minority, socially disadvantaged, or limited-resource farmers. -------------------- \5 Because 58 small offices did not report workload data, we are unable to determine whether some of these offices should be included in the totals for any of the combinations of characteristics. ALTERING THRESHOLDS CHANGES THE LIST OF OFFICES WITH POTENTIAL FOR CLOSURE AND CONSOLIDATION ---------------------------------------------------------- Letter :5.1 As discussed, altering the thresholds for characteristics such as proximity, workload, and benefits changes the number of offices with potential for closure and consolidation. These thresholds can be altered either one at a time (keeping the thresholds for the other two characteristics constant) or in unison. For illustrative purposes, we discuss several possible combinations below and the effects of these alternatives on the number of offices with potential for closure and consolidation. Other combinations, including other combinations of characteristics, are also possible. -- Change in Threshold for Proximity: The number of small offices with potential for closure and consolidation increases as the threshold for geographic proximity to the next closest office is increased from 25 to 50 miles. Specifically, 140 small offices are within 50 miles of another office and in 1997 spent at least 50 percent of their time on administrative duties and provided benefits to fewer than 350 farmers. -- Change in Threshold for Percent of Workload Time Spent on Administrative Duties: The number of small offices with potential for closure and consolidation increases as the threshold for the percent of time spent on administrative duties is decreased to at least 40 percent. Specifically, 110 small offices are within 25 miles of another county office and in 1997 spent at least 40 percent of their time on administrative duties and served fewer than 350 farmers. -- Change in the Threshold for Number of Farmers Who Received Program Benefits: The number of small offices with potential for closure and consolidation increases as the threshold for the number of farmers who received program benefits is increased from fewer than 350 to fewer than 500. Specifically, 49 small offices are within 25 miles of another county office and in 1997 spent at least 50 percent of their time on administrative duties and provided benefits to fewer than 500 farmers. -- Changes to All Three Thresholds: The number of small offices with potential for closure and consolidation increases when all three thresholds are changed in the manner discussed above. Specifically, 344 small offices meet the expanded thresholds for these characteristics--they are within 50 miles of another county office and in 1997 spent at least 40 percent of their time on administrative duties and provided benefits to fewer than 500 farmers. OTHER FACTORS MAY MITIGATE AGAINST CLOSING AND CONSOLIDATING A COUNTY OFFICE ---------------------------------------------------------- Letter :5.2 For each of these small county offices, mitigating factors need to be considered when determining the potential for office closure and consolidation. These factors may include whether a county office serves a sizeable population of minority, socially disadvantaged, or limited-resource farmers; provides a significant degree of nonfinancial benefits, such as technical assistance, to local farmers and other USDA agencies; or is collocated with county offices of the Natural Resources Conservation Service and/or Rural Development agencies in order to provide a single location where farmers can obtain assistance from these agencies. AGENCY COMMENTS ------------------------------------------------------------ Letter :6 We provided a draft of this report to USDA for its review and comment. We met with officials from USDA's Farm Service Agency and National Agricultural Statistics Service, including the Farm Service Agency's Deputy Administrator for Management and Executive Director for State Operations. USDA generally agreed with the report. With respect to sharp increases in workload at some Farm Service Agency county offices during 1998 and 1999, USDA noted, and we agree, that this short-term surge in workload represents nonrecurring activity that should not be the basis for long-term management decisions regarding county office infrastructure. USDA provided a number of technical changes and clarifications to the report, which we incorporated as appropriate. SCOPE AND METHODOLOGY ------------------------------------------------------------ Letter :7 To determine which FSA county offices have three or fewer permanent full-time employees, we obtained FSA data on staffing levels for all FSA county offices as of November 1998, the most recent year for which data were available. These data included employees responsible for farm credit programs as well as employees responsible for farm support programs. We then compared these data with information we obtained from other FSA data sources. In doing so, we identified several additional small offices that FSA concurred should be included in our analysis. To determine the geographic proximity of small offices to other county offices, we obtained FSA's national database of its county offices. Using the county office zip codes contained in this database, we calculated straight-line distances between small offices and other nearby offices (usually three), including those in another state where appropriate, using Geographic Information Systems software. Having identified the closest offices to each small county office, we then calculated estimated driving distances using MapQuest.com, Inc. software. This software maps the fastest route between two locations (some local roads, such as rural routes, may not be captured by this software). In each case, we selected the office with the shortest driving distance as the nearest office. It is possible that other mapping software could give slightly different results. To obtain information on county office workload, we reviewed FSA county office workload reports for fiscal year 1997. To determine the time spent by county office employees on administrative duties, we subtracted their time charges for program delivery activities from total workload charges. In doing this analysis, we noted that workload data were not available for 51 of the 673 small offices because FSA combined these data with data from another county office. In addition, workload data were not available for seven small offices located in either Alaska or Hawaii because FSA does not collect workload data for these states. To determine the level of FSA program benefits provided by county offices, including the number of farmers who received these benefits, we used relevant data from FSA's producer payment reporting system for calendar year 1997. This system includes data on all farm support program payments that are distributed through FSA county offices. To determine agriculture's contribution to a county's total income, we used data compiled by the Department of Commerce's Bureau of Economic Analysis for calendar years 1995 and 1996, the most recent data available. We used the average of these 2 years in performing our analysis because the agricultural income reported for a few counties in 1996 was a negative number. To obtain information on the number of farms and farmland acres in counties, we used data from the National Agricultural Statistics Service's Census of Agriculture for 1997. Although the Service estimates that about 13.7 percent of the farms in the United States are not captured by the census, the census remains the most comprehensive database of statistics on U.S. farms. Regarding county office characteristics, we strove to keep the timeframes of the various data we used as consistent as possible. For example, since the most recent data available on agriculture's contribution to county income and on the number of farms and farmland acres in counties was from 1996 and 1997, respectively, we used 1997 data for county office workload and farm program benefits (although 1998 data were available for each). In addition, concerning workload and benefits, we considered 1997 to be the most normal, or typical, year for these characteristics during 1996 through 1998, the 3 most recent years for which data were available for each. Specifically, 1996 was a transition year as the farm bill phased out some farm programs while introducing others. As to 1998, some county offices experienced dramatic short-term increases in workload that were associated with assisting farmers hurt by sharply lower prices for some commodities and/or severe weather problems experienced that year. We conducted our work from October 1998 through May 1999 in accordance with generally accepted government auditing standards. We did not independently verify the accuracy of the data we collected from outside sources. However, we obtained information from agency officials or documents on the measures taken to ensure the accuracy and completeness of these data. As appropriate, we also noted any limitations to these data. ---------------------------------------------------------- Letter :7.1 As agreed with your office, unless you publicly announce its contents earlier, we plan no further distribution of this report until 30 days after the date of this letter. At that time, we will provide copies to appropriate congressional committees, interested Members of Congress, the Honorable Dan Glickman, Secretary of Agriculture, the Honorable Jacob Lew, Director of the Office of Management and Budget, and other interested parties. We will also make copies available to others upon request. Please contact me at (202) 512-5138 if you or your staff have any questions about this report. Major contributors to this report are listed in appendix IV. Sincerely yours, Robert E. Robertson Associate Director, Food and Agriculture Issues NUMBER OF SMALL FSA COUNTY OFFICES AND TOTAL NUMBER OF OFFICES IN EACH STATE =========================================================== Appendix I Small county Number of Total number offices as a small FSA of FSA percent of county county all county State offices offices offices ---------------------------- ------------ ------------ ------------ Alabama 8 49 16% Alaska 4 4 100 Arizona 5 9 56 Arkansas 17 60 28 California 12 32 38 Colorado 17 40 43 Connecticut 3 5 60 Delaware 1 3 33 Florida 10 35 29 Georgia 17 82 21 Hawaii 3 4 75 Idaho 11 35 31 Illinois 11 92 12 Indiana 23 81 28 Iowa 2 100 2 Kansas 18 104 17 Kentucky 37 92 40 Louisiana 14 44 32 Maine 6 15 40 Maryland 12 21 57 Massachusetts 2 7 29 Michigan 12 55 22 Minnesota 9 81 11 Mississippi 22 71 31 Missouri 26 100 26 Montana 8 49 16 Nebraska 7 83 8 Nevada 6 8 75 New Hampshire 5 6 83 New Jersey 2 6 33 New Mexico 15 28 54 New York 20 45 44 North Carolina 18 80 23 North Dakota 7 54 13 Ohio 11 74 15 Oklahoma 17 65 26 Oregon 18 25 72 Pennsylvania 26 49 53 Rhode Island 0 1 0 South Carolina 18 37 49 South Dakota 1 59 2 Tennessee 30 72 42 Texas 88 209 42 Utah 10 21 48 Vermont 5 9 56 Virginia 15 50 30 Washington 10 26 38 West Virginia 20 30 67 Wisconsin 5 60 8 Wyoming 9 18 50 ====================================================================== Total 673 2385 28 ---------------------------------------------------------------------- Note: Excludes 11 total offices in Puerto Rico and 1 office in the Virgin Islands. CHARACTERISTICS OF FSA COUNTY OFFICES WITH THREE OR FEWER PERMANENT FULL-TIME EMPLOYEES ========================================================== Appendix II (Dollars in thousands) Estimated driving distance to another FSA office ---------------------- Number Farm income State/ of Number of as FSA permanen farmers who Number Average a county t Percent of Percent of received of total percentage office/ full- workload spent workload FSA Number farm of total other time on spent on FSA financial financial of farmland income county counties employee FSA county administration program benefits benefits, farms, acres, in county, income, served s Miles office , 1997 delivery, 1997 provided, 1997 1997 1997 1997 1995-96 1995-96 -------- -------- ------ -------------- -------------- -------------- -------------- ----------- -------- -------- ---------- ------------ Alabama ----------------------------------------------------------------------------------------------------------------------------------------------------- Blount 3 35.2 Etowah 43.3% 56.7% $444.3 281 1,191 138,509 $43,271 5.9% Jefferso 426 41,333 $1,809 0.0 n Walker 470 54,950 $12,015 0.9 Subtotal 2,087 234,792 $57,094 0.3 Calhoun 3 23.9 Talladega 41.1 58.9 $349.4 282 629 77,429 $18,721 0.9 Cleburne 340 50,782 $19,919 8.9 Subtotal 969 128,211 $38,640 1.7 Macon 2 25.7 Lee \a \a $994.7 229 300 127,334 $1,756 0.5 Marion 3 32 Lamar 40.2 59.8 $531.3 524 677 98,078 $7,114 1.4 Winston 582 59,090 $19,119 4.6 Subtotal 1,259 157,168 $26,233 2.8 Marshall 3 35.5 Etowah 32.1 67.9 $539.6 576 1,583 146,129 $45,599 3.1 Pickens 1 38.5 Greene \a \a $815.1 257 454 123,132 $4,241 1.3 Randolph 2 39.4 Calhoun 46.0 54.0 $158.1 264 599 108,122 $17,566 5.5 Clay 397 75,249 $15,253 6.3 Subtotal 996 183,371 $32,819 5.8 Russell 3 27.1 Lee 39.9 60.1 $774.9 111 246 96,088 $2,796 0.3 Alaska ----------------------------------------------------------------------------------------------------------------------------------------------------- Delta 2 96.2 Fairbanks \a \a $1,156.6 74 \a \a \a \a Fairbank 1 96.2 Delta \a \a $9.7 5 \a \a \a \a s Homer 1 280.2 Palmer \a \a $23.6 9 \a \a \a \a Palmer 1 280.2 Homer \a \a $298.3 30 \a \a \a \a Arkansas ----------------------------------------------------------------------------------------------------------------------------------------------------- Bradley 3 17.2 Drew 43.7 56.3 $228.5 122 249 28,900 $8,411 4.1 Calhoun 112 17,622 $577 0.8 Dallas 121 23,228 $295 0.2 Subtotal 482 69,750 $9,282 2.1 Conway 2 22.1 Faulkner \a \a $756.3 221 729 162,732 $27,076 7.7 Fulton 2 18.1 Sharp 37.0 63.0 $109.3 88 737 227,794 $1,655 1.2 Hot 2 22.1 Saline 52.9 47.1 $244.4 55 447 75,305 $2,699 0.7 Spring Howard 3 28.9 Little River 30.0 70.0 $211.5 140 656 108,020 $46,830 16.9 Garland 360 43,471 $1,939 0.1 Pike 406 73,211 $20,844 11.8 Subtotal 1,422 224,702 $69,613 3.2 Izard 2 25.6 Fulton 38.7 61.3 $300.8 315 703 187,863 $4,845 2.7 Little 3 25.8 Miller 64.4 35.6 $890.0 105 381 146,344 $6,311 2.8 River Miller 3 25.8 Little River 45.0 55.0 $2,735.6 152 502 154,096 $9,648 1.5 Ouachita 2 49.2 Bradley 78.9 21.1 $54.6 29 177 29,449 $706 0.2 Union 281 34,150 $15,708 1.6 Subtotal 458 63,599 $16,414 1.1 Polk 2 45.9 Sevier 43.9 56.1 $19.6 13 850 133,203 $33,774 11.3 Pulaski 3 25.5 Lonoke 65.2 34.8 $1,610.9 215 421 110,830 $7,420 0.1 Saline 2 22.1 Hot Spring 67.8 32.2 $78.0 31 329 50,225 $2,104 0.2 Grant 215 32,519 $1,211 0.5 Subtotal 544 82,744 $3,315 0.2 Searcy 1 27.2 Van Buren \a \a $385.2 205 614 188,275 $2,470 2.3 Sebastia 3 37.9 Logan 55.3 44.7 $373.5 220 724 114,950 $6,127 0.3 n Crawford 806 138,811 $15,443 2.1 Scott 655 115,733 $25,617 15.8 Subtotal 2,185 369,494 $47,186 1.5 Sevier 3 33.2 Little River \a \a $50.1 26 588 133,466 $34,029 13.9 Stone 2 26 Izard \a \a $315.1 244 601 142,453 $14,321 9.1 Van 2 27.2 Searcy 46.2 53.8 $26.3 39 578 132,417 $3,382 1.5 Buren Arizona ----------------------------------------------------------------------------------------------------------------------------------------------------- Apache 2 58.6 Navajo 57.6 42.4 $101.9 57 288 \a -$669 -0.1 Coconino 2 92.5 Navajo 64.5 35.5 $1,077.3 129 199 6,209,42 -$639 0.0 4 Mohave 212 997,171 $3,556 0.2 Yavapai 453 771,632 $3,542 0.1 Subtotal 864 7,978,22 $6,459 0.1 7 Graham 2 46.4 Cochise 58.5 41.5 $1,180.4 170 281 1,244,76 $2,347 0.6 0 Greenlee 99 29,406 $1,430 0.9 Subtotal 380 1,274,16 $3,777 0.7 6 Navajo 3 58.6 Apache 34.2 65.8 $231.9 113 310 3,902,55 $7,825 0.7 2 Gila 148 \a -$1,040 -0.1 Subtotal 458 3,902,55 $7,305 0.4 2 Pima 3 66.6 Pinal 47.0 53.0 $1,259.3 66 419 2,913,60 $8,777 0.1 7 Santa 156 265,285 -$2,168 -0.4 Cruz Subtotal 575 3,178,89 $6,609 0.0 2 California ----------------------------------------------------------------------------------------------------------------------------------------------------- Contra 1 45.4 Solano 54.2 45.8 $296.7 53 587 147,859 $24,755 0.1 Costa Humboldt 1 132.9 Shasta 54.0 46.0 $67.6 59 792 584,538 $4,209 0.2 Del 66 13,303 $11,683 3.0 Norte Subtotal 858 597,841 $15,891 0.6 Imperial 3 88.1 Riverside 40.4 59.6 $7,210.1 346 557 489,726 $246,638 12.1 Lassen 2 104.3 Tehama 38.3 61.7 $243.2 75 365 453,826 -$4,552 -1.0 Plumas 117 108,896 -$1,544 -0.4 Sierra 47 46,359 -$3,576 -5.5 Subtotal 529 609,081 -$9,672 -1.0 Los 3 84.2 Kern 57.8 42.2 $160.4 57 1,226 130,838 $190,020 0.1 Angeles Orange 349 58,113 $102,034 0.1 San 1,455 924,015 $178,804 0.6 Bernard ino Subtotal 3,030 1,112,96 $470,858 0.2 6 Modoc 3 104.9 Lassen 47.7 52.3 $764.0 172 440 662,927 -$736 -0.5 Placer 3 36.3 Sacramento 54.2 45.8 $2,924.4 152 997 139,597 $971 0.0 El 763 102,726 -$4,898 -0.1 Dorado Nevada 412 62,772 -$2,768 -0.2 Subtotal 2,172 305,095 -$6,695 -0.1 Sacramen 3 22.3 Solano 57.8 42.2 $5,217.2 486 1,288 308,035 $51,904 0.2 to Amador 360 204,398 $4,560 0.7 Subtotal 1,648 512,433 $56,464 0.2 San 2 27 Monterey 49.9 50.1 $798.0 127 562 511,571 $61,102 7.5 Benito Santa 985 318,654 $69,430 0.1 Clara Subtotal 1,547 830,225 $130,532 0.2 Santa 1 54.1 San Luis 45.8 54.2 $153.4 13 1,451 817,068 $264,645 2.6 Barbara Obispo Solano 3 22.3 Sacramento 48.4 51.6 $2,887.8 533 795 362,102 $39,361 0.5 Napa 1,318 212,401 $50,260 1.5 Subtotal 2,113 574,503 $89,621 0.8 Sonoma 2 46.5 Alameda 57.2 42.8 $191.7 97 2,745 570,804 $113,136 1.0 Marin 276 149,663 $16,680 0.2 Subtotal 3,021 720,467 $129,816 0.6 Colorado ----------------------------------------------------------------------------------------------------------------------------------------------------- Arapahoe 2 51.7 Elbert 45.1 54.9 $2,996.4 443 258 332,940 $1,196 0.0 Bent 1 29 Otero 48.2 51.8 $1,952.7 317 270 784,273 $8,090 9.4 Boulder 2 26.7 Adams 53.5 46.5 $310.9 205 657 128,146 $12,523 0.2 Jefferso 377 97,623 $4,602 0.0 n Subtotal 1,034 225,769 $17,125 0.1 Conejos 2 14 Alamosa 59.3 40.7 $645.1 211 429 284,676 $5,967 6.0 Costilla 171 363,220 $2,200 4.2 Subtotal 600 647,896 $8,167 5.4 Delta 2 21 Montrose 46.9 53.1 $625.8 133 1,041 281,889 $3,955 1.0 El Paso 2 43.2 Pueblo 55.6 44.4 $741.5 175 851 866,953 $661 0.0 Park 183 311,182 $648 0.3 Teller 84 83,443 -$706 -0.2 Subtotal 1,118 1,261,57 $603 0.0 8 Elbert 3 39 Lincoln 50.0 50.0 $2,824.5 486 822 1,095,24 -$321 -0.1 8 Douglas 574 204,360 -$335 0.0 Subtotal 1,396 1,299,60 -$656 0.0 8 Fremont 2 39.3 Pueblo 50.5 49.5 $487.7 171 561 283,490 $752 0.1 Chaffee 189 85,608 -$724 -0.3 Custer 152 144,247 -$554 -1.1 Lake 20 17,188 $0 0.0 Subtotal 922 530,533 -$526 -0.1 La Plata 2 44.6 Montezuma 50.2 49.8 $754.0 193 781 580,135 -$2,322 -0.3 Archulet 206 112,670 $54 0.0 a Subtotal 987 692,805 -$2,268 -0.2 Larimer 3 31.1 Weld/Boulder 46.2 53.8 $862.2 403 1,298 542,259 $15,719 0.3 Las 2 81.9 Otero 56.4 43.6 $1,076.0 120 485 2,214,99 $941 0.4 Animas 2 Huerfano 273 641,124 -$1,382 -1.4 Subtotal 758 2,856,11 -$441 -0.1 6 Moffat 2 39.8 Routt 49.5 50.5 $1,758.6 300 389 1,031,09 $519 0.2 1 Phillips 3 32 Sedgwick 49.1 50.9 $6,981.0 943 344 463,376 $20,651 21.7 Pueblo 2 39.3 Fremont 49.8 50.2 $1,713.3 240 664 822,584 $2,174 0.1 Rio 2 47.8 Moffat 58.8 41.2 $452.2 78 255 466,272 -$2,211 -1.9 Blanco Rio 3 15.7 Saguache 58.5 41.5 $1,256.5 190 348 231,734 $15,097 8.0 Grande Hinsdale 14 8,834 $123 0.9 Mineral 10 \a $52 0.4 Subtotal 372 240,568 $15,246 7.1 Sedgwick 3 32 Phillips 39.1 60.9 $3,880.5 664 215 294,185 $8,959 15.5 Connecticut ----------------------------------------------------------------------------------------------------------------------------------------------------- New 3 31 Hartford 49.3 50.7 $99.2 60 423 24,563 $17,524 0.1 Haven Middlese 288 18,682 $12,802 0.3 x Subtotal 711 43,245 $30,325 0.1 New 3 32 Windham 44.6 55.4 $253.4 99 610 67,924 $41,069 0.6 London Windham 3 32 New London 45.9 54.1 $293.7 87 440 56,514 $10,003 0.4 Delaware ----------------------------------------------------------------------------------------------------------------------------------------------------- New 3 39.5 Kent 46.3 53.7 $1,353.3 202 327 77,302 $7,018 0.1 Castle Florida ----------------------------------------------------------------------------------------------------------------------------------------------------- Calhoun 2 27.7 Jackson 50.2 49.8 $600.3 237 130 43,799 $6,291 4.0 Franklin 19 5,125 $0 0.0 Gulf 33 3,823 $0 0.0 Liberty 47 7,238 $231 0.3 Subtotal 229 59,985 $6,521 1.1 Duval 2 45.3 Columbia 64.2 35.8 $ 87.5 7 0 3 20 3 5,531 $ 11,425 0 .1 Baker 157 13,035 $13,005 4.1 Nassau 238 35,165 $11,400 1.0 Subtotal 715 83,731 $35,829 0.2 Gadsden 2 24.6 Leon 40.5 59.5 $317.5 204 290 57,933 $36,867 5.6 Hardee 3 24.3 Polk 55.0 45.0 $128.6 52 1,045 345,643 $39,636 11.6 De Soto 715 322,402 $48,712 10.7 Manatee 697 267,993 $84,032 1.4 Sarasota 315 128,655 $6,126 0.1 Subtotal 2,772 1,064,69 $178,505 1.1 3 Highland 3 32.2 Hardee 46.0 54.0 $126.4 17 779 489,579 $52,759 3.7 s Lee 1 62.7 Hendry \a \a $95.9 19 509 129,001 $39,842 0.4 Charlott 209 290,340 $8,971 0.3 e Subtotal 718 419,341 $48,813 0.4 Polk 2 23.8 Hillsborough \a \a \a \a 2,464 621,489 $79,461 0.9 St. 2 36 Okeechobee 60.1 39.9 $93.7 23 500 227,414 $38,756 1.2 Lucie Indian 437 168,399 $48,476 1.5 River Martin 305 183,724 $56,233 1.4 Subtotal 1,242 579,537 $143,464 1.4 Sumter 3 28 Pasco 63.0 37.0 $9.8 15 718 183,374 $6,571 1.2 Citrus 294 49,192 $25 0.0 Subtotal 1,012 232,566 $6,596 0.3 Volusia 1 39.2 Lake \a \a $20.3 4 910 111,502 $51,505 0.6 Seminole 344 37,222 $11,987 0.1 Subtotal 1,254 148,724 $63,492 0.4 Georgia ----------------------------------------------------------------------------------------------------------------------------------------------------- Atkinson 3 15 Coffee 42.0 58.0 $648.8 179 196 62,779 $28,929 23.8 Candler 2 23.1 Evans 35.3 64.7 $1,242.0 463 264 78,376 $10,601 6.9 Effingha 2 33.8 Screven 47.4 52.6 $343.7 134 203 52,479 $4,476 0.8 m Bryan 61 25,477 $1,201 0.3 Chatham 42 8,694 $1,745 0.0 Subtotal 306 86,650 $7,421 0.1 Greene 2 20.9 Morgan 56.0 44.0 $142.8 74 198 52,426 $3,149 1.5 Hancock 103 33,653 -$259 -0.2 Taliafer 55 16,359 $308 1.2 ro Subtotal 356 102,438 $3,197 0.9 Habersha 3 29.4 Hall 46.2 53.8 $167.4 119 407 31,278 $52,890 8.6 m Rabun 122 10,865 $8,349 3.5 White 284 26,316 $30,453 9.5 Subtotal 813 68,459 $91,691 7.8 Hart 3 18 Elbert 42.0 58.0 $492.6 297 460 57,884 $13,926 3.8 Henry 3 49.6 Lamar 54.0 46.0 $274.1 147 327 44,643 $1,687 0.1 Butts 148 27,488 $3,746 1.3 Clayton 54 4,922 $18 0.0 Fayette 184 18,350 -$1,475 -0.1 Spalding 193 26,684 -$810 -0.1 Subtotal 906 122,087 $3,167 0.0 Jeff 3 15.2 Appling 34.7 65.3 $985.0 258 220 71,201 $11,066 5.4 Davis Long 2 12.5 Wayne 50.6 49.4 $77.0 76 64 18,875 $1,627 1.8 Liberty 43 20,989 -$124 0.0 Mcintosh 24 4,205 \a \a Subtotal 131 44,069 $1,503 0.2 McDuffie 2 26.1 Wilkes 49.2 50.8 $568.1 222 217 41,157 $9,614 2.5 Columbia 169 29,146 $313 0.0 Richmond 106 14,775 $320 0.0 Warren 134 44,447 $2,679 2.9 Subtotal 626 129,525 $12,769 0.2 Marion 3 20 Webster 49.1 50.9 $301.5 171 147 51,645 $3,612 4.2 Chattaho 13 4,070 $627 0.2 ochee Harris 207 46,940 $1,787 0.4 Muscogee 39 8,499 -$503 0.0 Talbot 111 36,481 -$124 -0.1 Subtotal 517 147,635 $5,461 0.1 Morgan 3 20.7 Putnam 46.1 53.9 $540.0 262 390 87,644 $20,476 7.2 Jasper 185 51,948 $8,210 4.8 Newton 260 45,579 $1,503 0.2 Subtotal 835 185,171 $30,189 2.2 Oconee 3 22.9 Morgan 59.4 40.6 $414.7 244 305 51,254 $27,932 5.6 Barrow 361 41,231 $21,167 3.2 Clarke 80 12,660 $11,890 0.7 Subtotal 746 105,145 $60,988 2.1 Taylor 3 30 Peach 42.4 57.6 $768.6 249 196 69,584 $10,022 7.6 Toombs 3 15 Tattnall 34.4 65.6 $1,739.2 557 401 99,949 $14,878 3.4 Wayne 3 12.5 Long 50.6 49.4 $776.1 280 276 65,209 $4,586 1.2 Camden 46 18,963 $750 0.1 Glynn 36 7,742 $61 0.0 Subtotal 358 91,914 $5,397 0.2 Wilkes 2 26.1 McDuffie 53.4 46.6 $206.0 185 298 94,989 $5,156 2.7 Lincoln 163 31,176 $3,231 2.5 Subtotal 461 126,165 $8,387 2.6 Hawaii ----------------------------------------------------------------------------------------------------------------------------------------------------- Honolulu 2 \a \a \a \a $88.2 13 880 79,927 $58,828 0.3 Kauai 2 \a \a \a \a $8.3 5 468 197,042 $27,843 2.3 Maui 2 \a \a \a \a $211.2 40 806 292,090 $57,766 2.2 Idaho ----------------------------------------------------------------------------------------------------------------------------------------------------- Ada 3 19.4 Canyon 69.6 30.4 $1,095.2 340 1,221 231,188 $17,198 0.2 Bannock 3 25.8 Bingham 33.3 66.7 $3,649.5 403 664 309,281 $10,205 0.8 Bear 2 30 Caribou 30.3 69.7 $1,789.4 313 410 221,717 $413 0.5 Lake Benewah 1 34 Kootenai \a \a $1,814.5 310 226 125,988 $1,659 1.1 Boundary 1 77.8 Kootenai 61.2 38.8 $908.0 155 312 72,685 $5,503 4.1 Bonner 501 98,662 $1,137 0.2 Subtotal 813 171,347 $6,640 1.0 Jefferso 3 10 Madison 42.6 57.4 $4,380.1 607 773 332,535 $15,734 6.0 n Clarke 83 215,301 $9,326 51.6 Subtotal 856 547,836 $25,060 8.9 Jerome 1 19 Lincoln \a \a $2,013.5 502 683 193,921 $60,136 20.1 Lemhi 1 138.4 Butte \a \a $70.0 54 308 196,584 -$1,264 -1.0 Oneida 3 57.3 Franklin 35.0 65.0 $4,244.3 473 387 271,108 $2,079 3.9 Payette 2 11 Washington 45.9 54.1 $980.4 342 564 148,467 $22,325 7.5 Washingt 3 11 Payette 40.5 59.5 $2,212.8 374 489 443,184 $3,958 2.8 on Adams 279 200,480 -$1,340 -2.4 Subtotal 768 643,664 $2,618 1.3 Illinois ----------------------------------------------------------------------------------------------------------------------------------------------------- Alexande 2 20 Union 43.5 56.5 $1,800.8 651 166 71,280 $2,751 1.9 r Pulaski 239 83,127 $3,113 2.7 Subtotal 405 154,407 $5,864 2.3 Calhoun 2 19 Jersey 40.1 59.9 $1,692.8 754 433 99,483 $3,169 3.5 Cumberla 2 19.9 Clark 29.1 70.9 $3,479.1 1,385 547 169,773 $11,356 5.7 nd Jackson 3 24 Williamson or 42.1 57.9 $2,148.0 807 680 202,558 $11,706 1.2 Perry Kane 0 22.4 De Kalb 27.8 72.2 $4,940.2 594 650 209,941 $19,339 0.2 Du Page 93 17,103 $11,169 0.0 Subtotal 743 227,044 $30,507 0.1 Kendall 3 21.5 Grundy 47.6 52.4 $4,165.7 739 441 167,486 $6,175 0.5 Perry 3 18 Washington 35.9 64.1 $2,488.0 1,188 551 172,013 $5,601 1.5 Scott 2 19 Morgan 42.8 57.2 $2,609.5 669 327 145,529 -$745 -0.9 Stark 3 33.9 Marshall 38.7 61.3 $4,581.1 763 354 179,711 $6,000 4.8 Union 2 19 Johnson 39.6 60.4 $1,920.7 572 591 136,060 $5,747 1.9 Wabash 3 23 Lawrence 32.4 67.6 $2,412.3 753 212 121,664 $2,109 0.9 Indiana ----------------------------------------------------------------------------------------------------------------------------------------------------- Clark 3 21.1 Scott 42.9 57.1 $1,178.0 595 647 108,773 $4,113 0.2 Elkhart 3 22.6 Kosciusko 40.0 60.0 $2,160.1 664 1,335 182,771 $14,150 0.4 Hamilton 3 17.3 Madison 41.5 58.5 $2,375.2 679 591 140,813 $3,000 0.1 Hendrick 0 28.4 Putnam \a \a $2,642.3 650 631 167,228 $8,644 0.4 s Howard 3 14.5 Tipton 39.3 60.7 $3,170.4 851 486 147,750 $15,606 0.8 Lake 3 20.6 Porter 39.3 60.7 $2,727.3 602 442 148,872 $5,155 0.1 Madison 3 17.3 Hamilton 39.5 60.5 $3,875.7 1,266 738 223,751 $9,725 0.4 Miami 3 14.5 Cass 41.1 58.9 $3,314.9 828 678 197,198 $4,592 0.8 Morgan 3 19.8 Monroe 43.3 56.7 $2,010.8 713 601 133,958 $2,847 0.2 Newton 3 14.9 Jasper 35.6 64.4 $4,878.6 1,068 381 207,315 -$1,835 -0.8 Orange 3 20 Washington 41.3 58.7 $1,785.7 495 531 123,343 -$408 -0.1 Perry 0 24 Warrick \a \a $551.3 294 484 84,251 $633 0.2 Pike 3 13.3 Daviess 38.9 61.1 $1,675.0 697 288 84,237 $1,999 0.9 Porter 3 20.6 Lake 40.9 59.1 $2,631.0 659 476 134,505 $5,564 0.2 Rush 3 17 Fayette 41.0 59.0% $4,639.5 955 663 227,874 $3,994 1.2 Scott 3 20.6 Washington 44.5 55.5% $1,028.8 392 348 57,372 $1,058 0.3 Steuben 3 23.1 De Kalb 35.2 64.8% $3,268.9 802 581 123,953 $3,035 0.5 Switzerl 3 26.2 Jefferson 38.7 61.3% $367.0 314 541 67,881 -$727 -0.6 and Tipton 3 14.5 Howard 44.1 55.9% $3,352.0 829 415 158,440 $14,176 3.7 Vanderbu 3 15.3 Warrick 49.1 50.9% $1,766.0 737 271 72,112 $5,291 0.1 rgh Vigo 3 17.1 Clay 38.0 62.0% $2,408.6 1,415 455 114,889 $3,417 0.2 Wabash 3 15.7 Miami 39.1 60.9% $3,759.5 984 762 188,230 $7,812 1.1 Warrick 3 15.3 Vanderburgh 33.7 66.3% $1,691.6 646 356 98,549 -$628 -0.1 Iowa ----------------------------------------------------------------------------------------------------------------------------------------------------- Wapello 3 21 Davis 40.3 59.7% $4,230.0 998 781 208,213 $7,648 1.1 W. 0 24 E. \a \a $4,886.5 1,063 1,325 536,704 $25,811 0.0 Pottawa Pottawattamie ttamie Kansas ----------------------------------------------------------------------------------------------------------------------------------------------------- Anderson 3 23.6 Franklin 42.0 58.0 $2,016.1 865 688 367,031 $3,081 2.4 Atchison 3 26.5 Jefferson 28.4 71.6 $2,442.1 914 632 242,096 $5,614 1.9 Barber 3 29.3 Pratt 34.6 65.4 $4,598.3 916 433 595,104 -$1,539 -1.5 Chase 3 21 Lyon 47.4 52.6 $698.1 355 285 409,224 -$1,508 -2.8 Douglas 3 17.8 Jefferson 40.1 59.9 $1,586.3 904 839 218,517 $5,100 0.3 Greenwoo 3 24.1 Elk 45.2 54.8 $888.9 424 593 634,169 -$1,066 -0.8 d Hamilton 2 27.7 Kearny \a \a $9,356.0 1,173 267 527,709 $13,861 25.0 Hodgeman 3 25.5 Ness 39.4 60.6 $5,228.1 1,148 359 485,004 $11,356 23.7 Jefferso 3 17.8 Douglas 38.1 61.9 $2,332.5 899 1,018 269,019 $4,114 1.2 n Johnson 3 21.8 Miami 49.4 50.6 $822.5 463 604 135,787 $4,518 0.0 Kiowa 3 22 Comanche 36.3 63.7 $5,626.7 902 318 441,979 $1,787 2.7 Lane 3 23.6 Scott 40.0 60.0 $5,228.1 998 287 435,349 $5,199 11.8 Meade 3 37.2 Clark 42.3 57.7 $6,859.8 1,216 416 554,522 $13,186 15.5 Morris 3 36.1 Wabaunsee 45.0 55.0 $2,139.7 761 489 395,856 $1,254 1.3 Morton 3 32.8 Stevens 32.1 67.9 $7,082.2 1,010 233 422,492 $1,475 2.2 Shawnee 3 26.2 Douglas 41.9 58.1 $1,862.3 1,046 823 224,143 $8,283 0.2 Wabaunse 3 24.3 Riley 41.4 58.6 $1,879.9 733 597 478,426 $2,520 1.9 e Woodson 2 20.3 Allen \a \a $1,355.0 546 371 254,482 -$553 -0.9 Kentucky ----------------------------------------------------------------------------------------------------------------------------------------------------- Anderson 2 15.5 Woodford 45.2 54.8 $127.6 164 691 83,948 $429 0.1 Ballard 3 20.1 McCracken 34.3 65.7 $1,719.5 614 482 118,597 $12,674 7.7 Boone 3 31.2 Grant 45.4 54.6 $215.4 334 691 79,855 $81 0.0 Campbell 503 45,108 -$1,523 -0.1 Kenton 442 37,788 -$2,216 -0.1 Subtotal 1,636 162,751 -$3,658 -0.1 Bracken 3 20 Pendleton 38.8 61.2 $110.4 287 656 91,714 $908 0.8 Breathit 3 14\b Lee 43.2 56.8 $23.8 148 193 46,646 -$306 -0.2 t Carlisle 3 17.4 Hickman 33.2 66.8 $1,446.3 543 323 90,258 $8,135 8.3 Casey 3 33.5 Adair 28.8 71.2 $505.8 820 1,332 190,623 $2,813 1.6 Clark 3 17.1 Montgomery or 26.5 73.5 $267.2 272 847 146,819 $4,421 0.7 Bourbon Clinton 3 18.3 Cumberland or 43.3 56.7 $183.5 379 639 78,057 $187 0.2 Wayne Cumberla 3 27.3 Monroe 42.2 57.8 $215.3 533 524 108,409 $1,572 1.9 nd Franklin 2 14.1 Woodford 46.6 53.4 $76.5 137 675 82,636 $2,399 0.2 Fulton 2 18.8 Carlisle \a \a $1,359.2 447 162 93,677 $11,675 7.9 Garrard 2 13 Lincoln \a \a $106.9 251 880 124,749 $6,456 3.3 Hancock 3 22.4 Breckenridge 45.0 55.0 $430.5 407 449 65,046 $5,621 3.3 Hopkins 3 23.9 Webster 39.9 60.1 $1,396.6 662 538 141,248 $6,428 0.8 Jessamin 2 20.2 Garrard 34.1 65.9 $121.6 214 754 88,508 $10,384 1.6 e Johnson 2 40.7 Morgan 60.5 39.5 $15.4 63 182 20,389 -$453 -0.1 Floyd 59 7,319 \a \a Martin 9 2,230 -$1,243 -0.7 Pike 37 5,851 $177 0.0 Subtotal 287 35,789 -$1,519 -0.1 Knox 3 31.6 Laurel 46.2 53.8 $134.1 206 322 46,470 $1,845 0.5 Bell 54 3,684 -$253 -0.1 Clay 402 57,164 $334 0.1 Harlan 27 2,326 \a \a Subtotal 805 109,644 $1,926 0.1 Larue 3 12 Hardin 34.1 65.9 $935.3 606 806 116,503 $5,891 2.7 Lee 3 40.9 Wolfe 49.2 50.8 $72.2 189 161 23,956 -$235 -0.2 Owsley 246 31,767 $167 0.3 Subtotal 407 55,723 $50 0.0 McCracke 3 19 Livingston 36.2 63.8 $992.9 593 457 66,547 $3,852 0.3 n Marion 3 11.2 Washington 33.6 66.4 $773.1 747 983 166,135 $4,225 1.6 Meade 3 31.8 Breckenridge \a \a $1,028.1 601 841 120,645 $2,061 0.5 Mercer 3 10 Boyle 37.6 62.4 $270.3 331 976 126,389 $5,554 1.5 Metcalfe 3 29.3 Green 40.6 59.4 $313.9 572 950 133,706 $5,163 4.0 Muhlenbe 3 26.5 Ohio 38.6 61.4 $876.2 499 559 114,824 $8,675 1.8 rg Owen 3 22.9 Franklin 32.2 67.8 $181.5 700 803 150,444 $329 0.2 Pendleto 3 17.9 Grant 35.2 64.8 $154.6 241 816 116,691 -$2,518 -1.2 n Perry 1 51.7 Lee 65.8 34.2 $18.2 18 29 6,784 $271 0.1 Knott 21 3,710 $81 0.0 Leslie 17 2,670 -$86 -0.1 Letcher 31 2,686 \a \a Subtotal 98 15,850 $266 0.0 Rockcast 3 24 Laurel 40.2 59.8 $161.2 317 771 93,657 $936 0.5 le Russell 3 18.5 Adair 38.7 61.3 $292.0 339 943 94,837 $8,569 3.8 Scott 3 15.5 Fayette 34.6 65.4 $231.4 411 851 145,858 $36,438 6.1 Taylor 3 12.1 Green 40.0 60.0 $706.5 714 971 112,307 $5,600 1.5 Trigg 3 19.7 Christian 38.3 61.7 $1,257.4 555 411 116,966 $8,650 4.5 Union 2 23 Henderson 38.1 61.9 $2,898.3 598 352 211,642 $17,800 5.8 Whitley 3 28.8 Laurel 51.6 48.4 $104.4 251 368 43,526 -$925 -0.2 McCreary 108 10,902 -$386 -0.2 Subtotal 476 54,428 -$1,311 -0.2 Wolfe 3 26.3 Morgan 46.1 53.9 $187.3 397 382 56,718 $489 0.6 Powell 231 28,490 -$399 -0.3 Subtotal 613 85,208 $91 0.0 Louisiana ----------------------------------------------------------------------------------------------------------------------------------------------------- Ascensio 3 25 Iberville 40.1 59.9 $216.6 57 279 55,270 $2,656 0.2 n St. 65 45,347 $6,658 1.8 James Subtotal 344 100,617 $9,314 0.5 Beaurega 3 44.9 Allen 19.9 80.1 $1,237.4 236 676 165,274 $643 0.1 rd Bienvill 2 20.3 Lincoln 73.2 26.8 $128.5 86 221 46,759 $5,221 2.2 e Jackson 183 15,823 $8,057 3.2 Subtotal 404 62,582 $13,278 2.7 Bossier 2 14.2 Caddo 44.1 55.9 $885.4 119 372 111,464 $858 0.1 De Soto 3 26.6 Red River 45.1 54.9 $320.5 139 516 156,733 $2,611 0.6 East 2 33 Pointe Coupee 48.1 51.9 $663.3 150 386 115,153 -$196 -0.1 Felicia na West 148 76,164 $602 0.4 Felicia na Subtotal 534 191,317 $406 0.1 Grant 3 25.1 Rapides 52.1 47.9 $675.2 128 186 48,609 -$405 -0.2 Winn 147 17,871 $1,697 0.7 Subtotal 333 66,480 $1,293 0.3 Lafayett 3 11.2 St. Martin 38.3 61.7 $1,076.5 724 577 87,880 $4,675 0.1 e Lafourch 3 36 Ascension 40.5 59.5 $195.8 93 398 135,042 $8,234 0.6 e Assumpti 102 64,060 $5,650 1.6 on Terrebon 137 52,873 $2,165 0.1 ne Subtotal 637 251,975 $16,049 0.5 Livingst 2 21.3 W. Baton Rouge 52.4 47.6 $82.1 50 345 40,471 $5,809 0.4 on E. Baton 441 66,008 $13 0.0 Rouge Subtotal 786 106,479 $5,822 0.1 St. John 2 31.4 Lafourche 49.1 50.9 $20.6 54 27 9,538 $1,751 0.2 The Baptist Jefferso 62 4,836 \a \a n Orleans 10 41 $0 0.0 Plaquemi 127 36,756 -$1,077 -0.2 nes St. 27 3,404 $385 0.0 Bernard St. 71 21,338 $2,098 0.2 Charles Subtotal 324 75,913 $3,156 0.0 St. 3 11.2 Lafayette 28.3 71.7 $666.3 408 243 77,997 $7,353 1.2 Martin Washingt 3 25.2 Tangipahoa 52.9 47.1 $286.6 205 814 100,006 $8,062 1.2 on St. 451 41,863 $2,704 0.1 Tammany Subtotal 1,265 141,869 $10,766 0.2 Webster 2 25.9 Bienville 59.3 40.7 $187.3 97 341 50,296 $113 0.0 Claiborn 261 58,409 $12,549 5.0 e Subtotal 602 108,705 $12,662 1.3 Maine ----------------------------------------------------------------------------------------------------------------------------------------------------- Cumberla 3 33.8 Androscoggin 51.2 48.8 $250.5 124 455 49,829 $4,460 0.1 nd York 499 58,341 $2,995 0.1 Subtotal 954 108,170 $7,455 0.1 Franklin 2 25.7 Somerset 40.8 59.2 $120.3 83 223 40,091 $1,381 0.3 Hancock 1 28.5 Penobscot 47.3 52.7 $48.2 55 310 42,607 $9,254 0.9 Knox 3 35.6 Waldo 45.7 54.3 $37.6 40 194 25,183 $933 0.1 Lincoln 210 25,920 $1,295 0.2 Subtotal 404 51,103 $2,228 0.1 Oxford 2 14.7 Androscoggin 39.3 60.7 $134.0 73 358 63,959 $2,360 0.3 Washingt 3 54.9 Hancock 39.3 60.7 $97.8 30 399 98,336 $16,822 2.9 on Maryland ----------------------------------------------------------------------------------------------------------------------------------------------------- Baltimor 3 26 Carroll 38.1 61.9 $722.5 120 781 75,795 $27,184 0.1 e Charles 3 27.9 Prince 46.1 53.9 $351.3 103 410 55,928 $3,093 0.1 George's Dorchest 3 17.3 Talbot 40.2 59.8 $1,224.3 348 297 122,928 $14,177 2.5 er Garrett 3 47.9 Allegany 54.6 45.4 $126.7 127 649 107,695 $3,458 0.7 Harford 2 29 Baltimore \a \a \a \a 651 94,112 $5,463 0.1 Howard 1 24.5 Frederick \a \a $229.4 41 318 39,846 $13,275 0.2 Kent 2 18.7 Queen Anne's 54.2 45.8 $2,289.4 425 314 117,526 $15,863 3.6 Montgome 3 24.5 Frederick 29.1 70.9 $838.5 141 526 77,266 $18,862 0.1 ry Somerset 2 14 Wicomico \a \a $584.2 139 288 54,823 $12,348 3.5 Talbot 3 17.1 Caroline 37.7 62.3 $2,059.6 380 240 109,572 $4,310 0.4 Washingt 2 25.3 Frederick 38.9 61.1 $492.4 206 768 126,292 $3,196 0.1 on Worceste 2 19.4 Wicomico 31.7 68.3 $1,142.8 209 415 111,835 $23,070 2.4 r Massachusetts ----------------------------------------------------------------------------------------------------------------------------------------------------- Berkshir 2 56.6 Hampshire 46.9 53.1 $103.3 50 387 62,833 $3,278 0.1 e Middlese 3 38.4 Worcester 43.9 56.1 $92.5 64 531 30,718 $30,444 0.1 x Essex 396 25,547 $12,446 0.1 Subtotal 927 56,265 $42,890 0.1 Michigan ----------------------------------------------------------------------------------------------------------------------------------------------------- Alcona 1 32 Alpena 57.0 43.0 $198.9 97 207 43,383 $110 0.1 Antrim 3 41.6 Emmet 56.1 43.9 $477.2 280 261 55,166 $3,011 0.8 Otsego 139 34,450 -$953 -0.2 Subtotal 400 89,616 $2,059 0.3 Baraga 2 84.3 Dickinson 53.3 46.7 $67.2 134 54 14,988 \a \a Houghton 128 23,126 $522 0.1 Ontonago 92 32,516 -$437 -0.3 n Keweenaw 5 \a $0 0.0 Subtotal 279 70,630 $85 0.0 Chippewa 3 92.8 Emmet 45.2 54.8 $119.2 166 319 98,979 -$1,520 -0.3 Luce 31 \a $138 0.1 Mackinac 72 21,513 $319 0.1 Subtotal 422 120,492 -$1,132 -0.1 Dickinso 2 52 Menominee 52.7 47.3 $184.4 92 116 28,298 $103 0.0 n Iron 86 23,823 -$442 -0.2 Subtotal 202 52,121 -$339 0.0 Iosco 2 33 Alcona 44.9 55.1 $517.2 191 238 42,667 -$32 0.0 Menomine 3 51 Delta 42.9 57.1 $511.1 176 348 109,661 $1,927 0.4 e Midland 3 19.1 Bay 44.0 56.0 $854.2 477 418 79,667 $3,317 0.1 Newaygo 3 33.5 Oceana 41.8 58.2 $1,450.2 617 670 122,294 $6,338 0.9 Muskegon 410 73,113 $7,246 0.2 Subtotal 1,080 195,407 $13,584 0.4 Oceana 3 32.4 Mason 39.9 60.1 $871.1 237 573 127,994 $13,169 3.2 Osceola 2 16.4 Mecosta \a \a $808.3 381 496 108,250 -$101 0.0 Lake 126 22,971 -$853 -0.6 Subtotal 622 131,221 -$954 -0.2 Shiawass 1 21.3 Clinton \a \a $2,338.2 1,109 915 214,153 $1,554 0.1 ee Minnesota ----------------------------------------------------------------------------------------------------------------------------------------------------- Beltrami 3 24.9 Clearwater 38.2 61.8 $894.7 357 656 224,898 -$962 -0.2 Crow 3 28.1 Aitkin 45.9 54.1 $869.3 491 593 135,322 $622 0.1 Wing Cass 598 191,847 $2,372 0.6 Subtotal 1,191 327,169 $2,994 0.2 Lake Of 3 60 Roseau 46.9 53.1 $998.6 239 196 117,644 $274 0.3 The Woods Koochich 213 76,635 -$756 -0.3 ing Subtotal 409 194,279 -$482 -0.1 Mahnomen 2 36.1 Becker 37.8 62.2 $2,277.3 395 341 189,927 $2,418 3.1 Mille 2 13.8 Benton \a \a $971.0 479 711 134,622 $1,281 0.4 Lacs Pine 3 22 Kanabec 43.2 56.8 $776.0 488 950 246,804 $2,527 0.7 Red Lake 3 17.8 Pennington 36.1 63.9 $4,114.5 565 376 204,977 $2,342 3.6 Scott 3 27 Le Sueur 36.2 63.8 $1,756.7 495 805 117,830 $2,394 0.1 Washingt 2 41.8 Dakota 46.0 54.0 $1,043.2 331 653 89,935 $13,553 0.3 on Ramsey 59 \a $650 0.0 Subtotal 712 89,935 $14,203 0.1 Mississippi ----------------------------------------------------------------------------------------------------------------------------------------------------- Adams 2 40.7 Claiborne 40.1 59.9 $1,268.7 195 132 64,561 $234 0.0 Benton 1 21.5 Tippah \a \a $801.8 284 213 81,444 $457 0.4 Carroll 3 11 Montgomery 31.4 68.6 $1,998.2 407 423 142,892 -$945 -0.7 Claiborn 3 28.3 Warren 45.0 55.0 $1,398.5 246 170 81,229 -$349 -0.2 e Jefferso 158 63,517 $3,500 3.8 n Subtotal 328 144,746 $3,151 1.4 Clarke 3 23.5 Lauderdale 25.6 74.4 $99.6 109 269 52,018 $1,498 0.6 Copiah 2 23.3 Lincoln 45.3 54.7 $531.7 182 510 120,681 $12,361 3.1 Itawamba 3 19.4 Lee 34.5 65.5 $606.7 493 387 81,566 $10,746 3.1 Jefferso 3 16.6 Lawrence 41.5 58.5 $407.4 274 389 78,668 $4,762 2.7 n Davis Lamar 2 14.9 Forrest 48.7 51.3 $245.2 130 401 74,162 $5,093 0.9 Lawrence 2 16.6 Jefferson 44.1 55.9 $325.8 149 308 55,146 $2,084 1.1 Davis Leake 3 22.9 Attala 38.2 61.8 $535.4 360 583 104,050 $30,254 10.3 Lowndes 3 19 Clay 39.2 60.8 $1,750.5 473 378 145,098 $5,958 0.6 Madison 3 28.5 Hinds 41.9 58.1 $4,226.8 456 465 182,095 $1,113 0.1 Pike 3 29.5 Walthall 46.5 53.5 $239.3 211 437 70,507 -$304 -0.1 Rankin 3 13.4 Hinds 42.5 57.5 $748.2 154 558 117,296 $20,312 1.0 Scott 3 27 Smith 32.9 67.1 $619.6 184 674 107,468 $78,085 17.5 Simpson 3 25.6 Smith 44.5 55.5 $339.9 195 550 93,715 $54,190 12.1 Stone 1 23.7 Pearl River \a \a $124.3 69 212 41,544 $2,466 1.4 Harrison 275 17,871 $36 0.0 Subtotal 487 59,415 $2,502 0.1 Tate 0 15 De Soto \a \a $1,660.3 466 508 134,657 $2,403 0.6 Walthall 3 21.4 Marion 41.0 59.0 $588.4 320 538 110,322 $819 0.4 Wayne 3 26.7 Clarke 54.1 45.9 $160.4 156 458 75,766 $20,859 6.9 Greene 334 58,916 $7,946 5.7 Subtotal 792 134,682 $28,805 6.6 Winston 3 17 Choctaw 43.1 56.9 $595.9 265 458 88,045 -$2,439 -0.8 Missouri ----------------------------------------------------------------------------------------------------------------------------------------------------- Barry 3 41.9 Newton \a \a $183.9 199 1,598 285,169 $12,608 2.5 Cedar 2 20.5 Dade 49.9 50.1 $640.4 228 865 203,685 -$725 -0.4 Clinton 3 22.6 Buchanan 32.9 67.1 $2,207.1 546 768 216,483 $3,676 1.0 Dade 3 20.5 Cedar 44.3 55.7 $1,468.0 384 808 249,096 $213 0.2 Dallas 3 18.2 Polk 54.4 45.6 $214.5 101 1,130 221,713 -$1,490 -0.7 Gasconad 3 28 Osage 47.4 52.6 $507.0 435 762 187,925 -$17 0.0 e Greene 3 16.7 Christian 49.3 50.7 $126.0 141 1,997 277,043 -$9,836 -0.2 Hickory 2 28.6 Dallas 48.8 51.2 $173.7 117 521 171,780 -$2,107 -2.0 Howell 3 31 Oregon 65.7 34.3 $73.3 74 1,637 386,796 -$6,585 -1.3 Jackson 2 26.5 Clay 44.4 55.6 $755.6 402 765 150,581 $4,293 0.0 Jasper 3 22 Barton 43.1 56.9 $2,491.7 821 1,355 271,040 $8,061 0.4 Jefferso 3 41.1 St. Louis 60.9 39.1 $162.3 108 659 109,430 -$1,802 -0.1 n Washingt 499 126,905 $617 0.2 on Subtotal 1,158 236,335 -$1,186 0.0 Laclede 3 27.4 Webster 52.6 47.4 $185.4 189 1,300 317,051 -$4,871 -1.0 Camden 584 172,273 -$1,616 -0.3 Pulaski 539 139,681 -$3,098 -0.5 Subtotal 2,423 629,005 -$9,585 -0.6 Marion 3 23.9 Ralls 36.5 63.5 $3,190.4 934 695 221,353 $3,334 0.6 Morgan 3 29 Moniteau 53.3 46.7 $525.9 249 869 202,467 $6,625 2.3 Newton 3 27.9 Jasper 48.8 51.2 $770.6 392 1,622 255,605 $13,278 1.5 McDonald 1,078 231,648 $16,432 5.7 Subtotal 2,700 487,253 $29,710 2.6 Osage 2 27.8 Cole 54.4 45.6 $588.2 442 1,147 304,823 $2,535 1.1 Maries 817 228,892 -$3,176 -2.6 Subtotal 1,964 533,715 -$641 -0.2 Putnam 3 24.1 Sullivan 39.3 60.7 $2,460.8 455 615 261,360 -$739 -1.0 Ripley 3 31.8 Butler 48.3 51.7 $911.6 232 472 151,963 -$3,568 -2.2 Carter 202 62,899 -$600 -0.7 Subtotal 674 214,862 -$4,167 -1.7 Schuyler 3 18.6 Scotland 40.0 60.0 $1,841.5 502 493 159,543 $705 1.2 St. 3 19.5 Henry 42.3 57.7 $1,635.2 589 778 262,963 -$1,177 -0.9 Clair St. 3 24.2 St. Charles 56.4 43.6 $329.1 157 291 45,019 $2,168 0.0 Louis Shannon 1 39 Oregon \a \a $72.4 59 470 133,320 -$1,433 -1.4 Reynolds 302 113,214 -$1,777 -1.9 Subtotal 772 246,534 -$3,210 -1.7 Warren 3 21 Lincoln 41.0 59.0 $1,561.2 719 555 132,520 -$733 -0.2 Wayne 3 33.4 Butler 64.1 35.9 $277.7 185 380 97,664 -$1,517 -0.9 Madison 386 110,092 -$1,026 -0.6 Subtotal 766 207,756 -$2,543 -0.8 Wright 3 24.7 Douglas 51.9 48.1 $150.8 211 1,331 312,388 -$5,209 -2.3 Montana ----------------------------------------------------------------------------------------------------------------------------------------------------- Beaverhe 3 55.1 Jefferson 46.0 54.0 $861.9 89 360 1,152,00 $6,742 4.3 ad 8 Flathead 3 58.6 Lake 44.7 55.3 $798.6 347 898 216,303 $2,021 0.1 Lincoln 252 46,167 -$1,885 -0.7 Subtotal 1,150 262,470 $136 0.0 Garfield 3 67.9 McCone 35.6 64.4 $4,352.7 286 244 2,163,27 $153 0.8 0 Jefferso 2 56.8 Broadwater 43.3 56.7 $1,289.7 223 266 364,153 $940 0.5 n Madison 460 1,079,50 $839 0.8 2 Silver 116 100,181 $325 0.1 Bow Subtotal 842 1,543,83 $1,942 0.2 6 Missoula 2 47.6 Ravalli 56.2 43.8 $136.1 70 482 262,419 -$1,182 -0.1 Mineral 71 16,329 \a \a Subtotal 553 278,748 -$1,182 -0.1 Powell 2 53.7 Lewis and 47.5 52.5 $304.9 106 230 649,489 $63 0.1 Clark Deer 83 101,657 -$207 -0.1 Lodge Granite 117 268,413 -$357 -0.9 Subtotal 430 1,019,55 -$398 -0.1 9 Prairie 1 37 Custer 29.9 70.1 $2,072.9 216 158 612,906 $581 2.6 Ravalli 3 47.6 Missoula 37.1 62.9 $319.8 184 1,080 183,647 -$616 -0.1 Nebraska ----------------------------------------------------------------------------------------------------------------------------------------------------- Banner 3 23 Kimball 41.6 58.4 $3,637.3 470 220 446,482 $3,336 30.4 Brown 3 45.3 Cherry 40.7 59.3 $5,717.1 593 349 700,954 $9,549 14.4 Keya 225 499,714 -$1,587 -22.2 Paha Rock 316 631,119 $10,309 27.0 Subtotal 890 1,831,78 $18,270 16.4 7 Custer 2 37.5 Sherman \a \a $8,600.2 1,318 1,307 1,552,16 $27,414 12.3 6 Keith 2 20.9 Perkins \a \a $4,159.1 673 375 606,891 $7,728 5.2 Arthur 83 465,313 -$1,396 -29.7 Subtotal 458 1,072,20 $6,332 4.1 4 Kimball 3 23 Banner 31.0 69.0 $7,161.9 1,047 326 565,199 $9,440 11.1 Sheridan 3 31.8 Dawes 35.3 64.7 $4,499.3 717 656 1,486,93 $135 0.1 4 Sherman 3 25.8 Valley 40.1 59.9 $3,333.3 690 483 323,887 $1,190 2.5 Nevada ----------------------------------------------------------------------------------------------------------------------------------------------------- Clark 2 243.9 White Pine 65.8 34.2 $37.4 23 209 70,741 $4,051 0.0 Nye 144 85,534 $3,744 0.8 Subtotal 353 156,275 $7,795 0.0 Douglas 2 56.1 Lyon 54.8 45.2 $232.3 57 156 90,372 $323 0.0 Alpine, 12 3,942 $0 0.0 CA Inyo, CA 82 198,658 -$1,617 -0.4 Mono, CA 63 68,813 -$2,761 -1.3 Carson 18 7,224 \a \a City Subtotal 331 369,009 -$4,054 -0.1 Elko 3 128.1 Humboldt 39.0 61.0 $154.7 37 402 2,855,47 $5,261 0.6 2 Eureka 84 214,966 $1,251 3.6 Subtotal 486 3,070,43 $6,512 0.7 8 Lyon 1 56.1 Douglas 55.1 44.9 $587.8 90 305 174,448 $10,894 2.1 Esmerald 20 27,454 $1,471 6.7 a Mineral 37 \a -$192 -0.2 Subtotal 362 201,902 $12,173 1.8 Pershing 1 55.7 Churchill 63.6 36.4 $231.0 57 120 119,435 $2,365 2.7 White 2 179.7 Elko 57.8 42.2 $57.0 35 115 247,446 $773 0.4 Pine Lincoln 121 48,897 $1,704 2.4 Subtotal 236 296,343 $2,091 0.8 New Hampshire ----------------------------------------------------------------------------------------------------------------------------------------------------- Cheshire 2 51 Hillsborough 57.2 42.8 $225.3 80 293 41,651 $5,745 0.3 Sullivan 246 47,267 $5,254 0.6 Subtotal 539 88,918 $10,999 0.4 Coos 2 48.5 Grafton 58.9 41.1 $127.0 50 185 42,931 $2,201 0.3 Carroll 177 24,155 $1,281 0.1 Subtotal 362 67,086 $3,482 0.2 Grafton 3 50.1 Coos 45.8 54.2 $226.5 129 406 75,883 $4,224 0.2 Hillsbor 1 31.7 Merrimack 60.0 40.0 $36.8 32 391 37,572 $7,621 0.1 ough Rockingh 2 38.3 Merrimack 58.4 41.6 $113.6 68 407 35,465 $4,957 0.1 am Straffor 235 26,078 $4,907 0.2 d Subtotal 642 61,543 $9,863 0.1 New Jersey ----------------------------------------------------------------------------------------------------------------------------------------------------- Hunterdo 3 27.1 Warren 47.6 52.4 $607.9 189 1,313 105,230 $8,736 0.2 n Somerset 437 46,258 $4,246 0.0 Subtotal 1,750 151,488 $12,982 0.1 Monmouth 3 37.5 Burlington 55.0 45.0 $543.8 102 874 59,405 $35,174 0.2 Mercer 285 28,391 $3,127 0.0 Middlese 275 28,100 $9,510 0.0 x Subtotal 1,434 115,896 $47,810 0.1 New Mexico ----------------------------------------------------------------------------------------------------------------------------------------------------- Bernalil 2 19.7 Valencia 81.4 18.6 $29.0 6 468 464,801 $6,686 0.1 lo Sandoval 353 779,766 $6,360 0.4 Subtotal 821 1,244,56 $13,046 0.1 7 Colfax 2 81.4 Union 54.7 45.3 $163.6 58 322 2,227,15 $1,728 0.8 5 Eddy 3 76.1 Chaves 45.4 54.6 $866.1 246 467 1,275,52 $20,523 2.3 7 Guadalup 3 45.2 De Baca 12.6 87.4 $90.7 40 236 1,418,96 $296 0.6 e 6 Harding 2 72.5 Quay 53.0 47.0 $680.0 104 172 1,254,87 -$861 -7.5 7 Hidalgo 2 63.3 Luna 52.3 47.7 $1,134.9 75 146 1,104,82 $8,259 7.8 0 Luna 3 58.3 Dona Ana 51.7 48.3 $1,050.8 128 192 603,428 $12,145 4.3 Grant 286 1,173,59 $641 0.1 9 Subtotal 478 1,777,02 $12,785 1.7 7 McKinley 1 133.8 San Juan 67.2 32.8 $49.7 63 224 3,157,13 -$787 -0.1 8 Otero 1 65 Dona Ana \a \a $71.9 26 417 1,081,05 -$526 -0.1 7 Lincoln 337 1,975,01 -$557 -0.2 7 Subtotal 754 3,056,07 -$1,082 -0.1 4 Rio 3 26.4 Santa Fe 64.8 35.2 $234.8 110 940 1,463,39 -$394 -0.1 Arriba 6 San Juan 2 133.8 McKinley 49.6 50.4 $841.6 103 666 \a $27,649 1.7 San 2 64.7 Santa Fe 60.9 39.1 $211.3 86 643 2,556,80 $1,780 0.5 Miguel 3 Mora 398 974,759 $3,734 7.1 Subtotal 1,041 3,531,56 $5,514 1.3 2 Sierra 2 74.4 Socorro 61.3 38.7 $51.7 24 180 1,286,88 $4,708 2.6 7 Socorro 2 55.9 Valencia 70.7 29.3 $102.2 38 395 1,650,97 $8,115 3.8 9 Catron 217 1,795,36 $615 1.6 2 Subtotal 612 3,446,34 $8,730 3.4 1 Valencia 1 22.3 Bernalillo 68.3 31.7 $40.0 41 639 383,531 $8,165 0.9 Cibola 166 1,699,34 -$546 -0.2 1 Subtotal 805 2,082,87 $7,619 0.6 2 New York ----------------------------------------------------------------------------------------------------------------------------------------------------- Albany 2 14.2 Rensselaer 35.9 64.1 $377.7 125 396 56,782 $1,645 0.0 Allegany 3 42.8 Wyoming 38.7 61.3 $587.7 348 724 157,744 $4,129 0.5 Chenango 3 43.5 Madison 43.5 56.5 $444.5 237 801 183,312 $4,296 0.5 Clinton 2 58.3 Franklin 51.0 49.0 $1,050.2 331 488 148,677 $13,123 0.9 Essex 197 48,196 $2,621 0.4 Subtotal 685 196,873 $15,744 0.7 Columbia 3 37.9 Rensselaer 35.3 64.7 $661.4 259 464 114,883 $16,106 1.2 Greene 244 48,770 $1,253 0.1 Subtotal 708 163,653 $17,359 0.8 Delaware 3 46.1 Chenango 45.2 54.8 $345.1 274 717 183,667 $4,067 0.5 Dutchess 3 48 Columbia 47.2 52.8 $390.8 183 539 106,749 $6,551 0.1 Putnam 48 3,433 \a \a Ulster 409 68,989 $13,852 0.4 Westches 91 7,528 $1,893 0.0 ter Subtotal 1,087 186,699 $22,296 0.0 Fulton 1 5.9 Montgomery 59.0 41.0 $147.8 97 176 34,291 $911 0.1 Hamilton 13 788 $0 0.0 Subtotal 189 35,079 $911 0.1 Herkimer 3 23.2 Oneida 50.9 49.1 $478.1 294 583 141,847 $3,431 0.3 Lewis 2 30.1 Jefferson 48.0 52.0 $481.6 322 623 179,696 $8,026 1.9 Onondaga 3 24 Cortland 34.5 65.5 $1,506.0 257 602 147,109 $11,621 0.1 Oswego 2 40.2 Jefferson 53.9 46.1 $409.3 213 605 102,537 $1,018 0.0 Otsego 2 27.2 Herkimer 44.1 55.9 $443.1 291 865 206,985 $5,593 0.5 Renssela 3 14.3 Albany 36.3 63.7 $599.3 222 459 98,965 $7,710 0.2 er Saratoga 3 20.1 Washington 48.6 51.4 $338.4 113 472 72,928 $2,722 0.1 Seneca 2 15.8 Cayuga 44.7 55.3 $1,339.9 218 413 117,426 $6,067 0.9 Suffolk 1 118.1 Dutchess 47.3 52.7 $44.0 35 606 35,858 $39,985 0.1 Sullivan 2 40.6 Orange 41.5 58.5 $168.2 93 311 58,067 $1,260 0.1 Tioga 3 37.7 Tompkins 47.6 52.4 $613.6 398 497 109,356 $3,353 0.3 Chemung 313 59,272 $1,190 0.1 Subtotal 810 168,628 $4,543 0.2 Tompkins 2 22.5 Cortland 40.2 59.8 $972.2 325 447 95,451 $12,030 0.6 Schuyler 318 65,281 $1,405 0.5 Subtotal 765 160,732 $13,435 0.6 North Carolina ----------------------------------------------------------------------------------------------------------------------------------------------------- Buncombe 2 20 Madison 36.5 63.5 $80.0 89 1,009 87,382 $15,813 0.4 Catawba 3 16.2 Lincoln 39.0 61.0 $291.9 265 596 72,264 $10,111 0.3 Cherokee 2 43.9 Swain 55.1 44.9 $150.6 225 243 24,533 $2,634 0.8 Clay 166 18,288 $883 0.7 Graham 110 7,194 $972 0.9 Subtotal 519 50,015 $4,489 0.8 Durham 2 11.7 Orange 36.2 63.8 $237.0 135 159 22,238 $3,388 0.1 Forsyth 3 23.2 Davidson 30.1 69.9 $69.7 179 621 51,091 $6,876 0.1 Gaston 2 11.5 Lincoln 39.7 60.3 $180.0 199 333 34,860 $6,271 0.2 Guilford 3 22.7 Rockingham 45.1 54.9 $261.3 308 920 111,882 $26,319 0.3 Henderso 3 25.2 Buncombe 54.3 45.7 $184.0 175 488 44,511 $73,707 4.1 n Polk 188 30,701 $1,973 0.5 Transylv 174 12,675 $13,516 2.4 ania Subtotal 850 87,887 $89,195 3.2 Lincoln 3 11.5 Gaston 36.1 63.9 $371.3 283 497 63,177 $2,036 0.2 Orange 3 12.2 Durham 40.7 59.3 $442.8 384 485 72,515 $22,415 0.8 Pamlico 3 17.5 Craven 36.3 63.7 $714.6 86 67 50,232 $4,468 2.1 Randolph 3 27 Guilford 36.4 63.6 $346.3 312 1,366 148,301 $60,292 2.6 Rowan 3 15.6 Davidson 41.6 58.4 $416.4 309 779 107,555 $20,504 0.9 Rutherfo 3 26.6 Cleveland 60.5 39.5 $208.3 204 505 61,147 $579 0.1 rd Swain 3 23.6 Macon 57.6 42.4 $13.6 69 77 6,624 $3,395 2.0 Jackson 217 18,882 $8,667 1.8 Subtotal 294 25,506 $12,061 1.9 Tyrrell 2 29.4 Chowan 49.5 50.5 $1,214.6 121 83 54,838 $6,228 11.0 Dare 9 4,961 $0 0.0 Subtotal 92 59,799 $6,228 1.1 Washingt 3 21.9 Martin 36.3 63.7 $1,336.2 280 203 107,280 $10,447 4.4 on Watauga 3 25.4 Ashe 50.7 49.3 $42.5 133 674 56,508 $17,922 2.6 Avery 429 27,037 $38,526 12.6 Subtotal 1,103 83,545 $56,448 5.6 North Dakota ----------------------------------------------------------------------------------------------------------------------------------------------------- Adams 2 40 Bowman 26.3 73.7 $5,296.0 701 367 629,677 $1,957 4.0 Bowman 3 23.8 Slope 29.0 71.0 $5,085.8 714 358 715,177 $2,442 3.9 Foster 3 17 Eddy 35.8 64.2 $4,071.5 526 282 370,231 $1,461 2.1 Golden 3 60.5 Stark 36.6 63.4 $3,081.7 489 244 578,700 -$2,267 -8.3 Valley Oliver 3 36.6 Mercer 40.6 59.4 $1,985.4 432 327 400,248 -$2,528 -8.2 Sioux 1 55.2 Morton \a \a $1,984.2 271 193 704,872 -$4,992 -13.8 Slope 2 23.8 Bowman 37.2 62.8 $3,196.9 509 263 757,051 $551 6.7 Ohio ----------------------------------------------------------------------------------------------------------------------------------------------------- Belmont 3 32 Guernsey 60.4 39.6 $187.4 224 622 148,287 $696 0.1 Monroe 589 109,650 -$2,418 -1.0 Subtotal 1,211 257,937 -$2,070 -0.1 Clermont 2 30.4 Highland 38.1 61.9 $692.6 292 744 88,298 $4,162 0.1 Coshocto 3 23 Holmes 38.3 61.7 $1,382.4 453 864 170,087 $4,602 0.7 n Franklin 3 27.1 Delaware 47.3 52.7 $1,328.7 407 407 79,620 $23,129 0.1 Guernsey 3 23.2 Muskingum 59.7 40.3 $348.9 306 802 137,653 -$1,328 -0.2 Noble 519 99,003 -$1,885 -1.1 Subtotal 1,321 236,656 -$3,213 -0.4 Holmes 3 19.4 Wayne 41.7 58.3 $823.5 372 1,404 171,732 $21,759 3.9 Lorain 3 34.1 Medina 40.2 59.8 $1,242.6 350 778 130,631 $37,649 0.6 Meigs 3 24.8 Gallia 44.0 56.0 $234.0 175 491 84,761 $1,060 0.3 Perry 3 18.6 Fairfield 46.0 54.0 $710.3 208 606 96,603 -$2,151 -0.4 Pike 3 17.8 Ross 41.8 58.2 $907.0 376 435 78,311 -$2,926 -0.7 Washingt 3 44.9 Athens 44.7 55.3 $446.9 296 900 146,504 $3,630 0.3 on Oklahoma ----------------------------------------------------------------------------------------------------------------------------------------------------- Clevelan 2 19.7 McClain 54.2 45.8 $289.4 152 1,017 162,308 $51 0.0 d Delaware 2 35.3 Mayes \a \a \a \a 1,303 264,620 $45,992 8.6 Greer 3 25.7 Jackson 37.4 62.6 $4,381.8 953 478 314,416 -$2,786 -2.8 Haskell 1 40.8 Leflore 52.1 47.9 $208.7 69 872 267,655 $464 0.3 Hughes 3 9.6 Seminole 37.8 62.2 $358.8 280 897 355,192 -$2,926 -1.6 Johnston 2 32.9 Bryan \a \a $99.8 77 624 334,041 $67 0.1 Lincoln 2 27 Pottawatomie 42.8 57.2 $367.8 294 1,916 431,368 -$2,256 -0.5 McClain 2 19.7 Cleveland 43.2 56.8 $849.8 377 1,046 268,034 $6,466 1.5 McCurtai 3 44.3 Choctaw 33.8 66.2 $676.4 149 1,573 327,524 $44,291 8.4 n Osage 3 46.3 Nowata 48.1 51.9 $973.6 283 1,196 1,207,46 $815 0.1 2 Pawnee 3 29 Payne 42.4 57.6 $758.4 338 671 263,369 -$2,320 -0.9 Pottawat 3 27 Lincoln 46.6 53.4 $341.1 279 1,448 336,486 -$1,719 -0.2 omie Pushmata 1 21.4 Choctaw \a \a $22.0 31 776 256,438 $482 0.3 ha Rogers 3 17.2 Mayes 51.7 48.3 $612.4 451 1,408 312,870 -$1,632 -0.1 Tulsa 954 142,978 $11,989 0.1 Subtotal 2,362 455,848 $10,357 0.1 Seminole 2 9.6 Hughes 45.9 54.1 $205.2 135 1,018 277,535 -$1,499 -0.4 Stephens 3 24.6 Jefferson 37.6 62.4 $1,703.7 583 1,165 426,884 -$2,453 -0.3 Wagoner 3 15.9 Muskogee 49.2 50.8 $799.9 433 973 240,660 $4,677 0.6 Oregon ----------------------------------------------------------------------------------------------------------------------------------------------------- Baker 2 45.2 Union 33.7 66.3 $706.3 121 704 1,007,73 -$4,417 -1.6 7 Clackama 3 27.9 Washington 54.8 45.2 $440.9 190 3,745 179,650 $69,316 0.8 s Multnoma 577 34,479 $17,824 0.1 h Subtotal 4,322 214,129 $87,140 0.4 Coos 3 68.3 Douglas 39.2 60.8 $204.6 61 675 163,021 $21,656 1.8 Curry 168 84,781 $1,316 0.3 Subtotal 843 247,802 $22,972 1.5 Deschute 3 104.4 Sherman \a \a $2,303.3 413 1,235 124,395 -$5,211 -0.2 s Crook 521 916,451 -$3,888 -1.3 Jefferso 399 783,466 $5,857 2.2 n Subtotal 2,155 1,824,31 -$3,242 -0.1 2 Douglas 2 68.3 Coos 49.3 50.7 $237.0 73 1,908 401,635 $3,360 0.2 Grant 3 66.1 Harney 28.0 72.0 $240.8 54 407 1,080,75 -$1,819 -1.3 6 Harney 1 66.1 Grant \a \a $856.7 134 504 1,358,88 -$4,801 -4.1 3 Jackson 3 75.8 Klamath 52.5 47.5 $322.7 146 1,623 246,101 $16,205 0.5 Josephin 616 34,565 $3,426 0.3 e Subtotal 2,239 280,666 $19,631 0.4 Klamath 3 75.8 Jackson 36.7 63.3 $976.2 253 1,066 713,534 -$70 0.0 Lake 2 96.1 Klamath 54.7 45.3 $1,080.1 119 418 736,694 $4,883 3.9 Lane 3 39.4 Linn 51.7 48.3 $374.5 158 2,104 223,720 $19,301 0.3 Polk 3 17.5 Marion 40.4 59.6 $1,188.0 343 1,147 171,423 $12,047 1.1 Sherman 3 41 Wasco 41.4 58.6 $6,437.1 577 168 425,036 $1,118 3.5 Tillamoo 2 58.4 Washington 62.5 37.5 $513.9 127 313 35,580 $13,750 3.2 k Clatsop 229 22,783 $3,827 0.5 Subtotal 542 58,363 $17,577 1.6 Union 3 50.3 Umatilla 39.7 60.3 $2,252.2 449 832 531,990 $2,976 0.7 Wallowa 3 65.8 Union 43.8 56.2 $2,070.2 292 459 620,886 -$429 -0.3 Wasco 3 41 Sherman 34.2 65.8 $5,316.7 476 470 1,135,19 $14,410 3.3 8 Hood 537 28,362 $20,117 5.7 River Subtotal 1,007 1,163,56 $34,526 4.4 0 Washingt 2 27.9 Clackamas 33.6 66.4 $1,467.4 644 1,681 130,887 $59,263 0.6 on Columbia 686 65,567 $6,351 0.8 Subtotal 2,367 196,454 $65,613 0.6 Pennsylvania ----------------------------------------------------------------------------------------------------------------------------------------------------- Beaver 2 54.2 Butler 67.0 33.0 $173.1 176 499 53,774 $1,759 0.0 Alleghen 334 26,944 $443 0.0 y Subtotal 833 80,718 $2,202 0.0 Bucks 3 22.2 Montgomery 53.1 46.9 $489.8 123 739 83,534 $17,839 0.1 Philadel 9 285 \a \a phia Subtotal 748 83,819 $17,839 0.0 Butler 3 22.5 Armstrong 39.2 60.8 $536.9 315 972 118,547 $3,363 0.1 Cambria 3 20 Blair 37.3 62.7 $488.4 238 525 87,802 $2,105 0.1 Chester 3 29.1 Montgomery 48.9 51.1 $753.4 295 1,424 175,363 $87,783 0.6 Delaware 63 4,841 $267 0.0 Subtotal 1,487 180,204 $88,050 0.3 Clarion 3 28.6 Venango 45.6 54.4 $467.5 255 457 94,086 $3,291 0.4 Cumberla 3 21 Perry 37.2 62.8 $1,282.4 464 970 143,163 $18,598 0.3 nd Dauphin 3 23.7 Perry 33.7 66.3 $839.7 240 625 86,522 $6,503 0.1 Franklin 3 22.5 Fulton 43.2 56.8 $1,313.6 473 1,304 237,642 $32,701 1.2 Fulton 3 22.5 Franklin 43.9 56.1 $504.9 284 449 94,285 $3,200 1.3 Huntingd 1 26 Blair 47.4 52.6 $759.8 272 586 124,857 $7,052 1.0 on Indiana 3 28 Armstrong 40.8 59.2 $653.0 306 767 138,522 $13,141 0.8 Juniata 3 12.7 Mifflin 40.9 59.1 $810.0 447 611 86,740 $11,550 3.1 Lawrence 2 26.2 Butler 49.1 50.9 $410.3 189 621 87,177 $4,441 0.2 Lehigh 3 16 Northampton 40.1 59.9 $582.7 163 425 91,629 $12,125 0.2 Luzerne 3 32 Wyoming 47.0 53.0 $385.9 205 451 57,317 $854 0.0 Lycoming 2 32.8 Clinton 40.7 59.3 $956.0 400 841 135,561 $6,366 0.3 Mifflin 2 12.7 Juniata 54.5 45.5 $428.2 253 619 79,400 $6,692 0.8 Montgome 2 22.2 Bucks 50.9 49.1 $277.5 136 462 41,552 $5,952 0.0 ry Northamp 3 16 Lehigh 39.3 60.7 $965.8 178 396 78,317 $4,674 0.1 ton Perry 2 21 Cumberland 43.2 56.8 $952.3 397 618 114,882 $6,052 0.7 Potter 3 30.7 Tioga 50.6 49.4 $484.3 263 292 83,462 $2,360 0.7 Cameron 26 4,121 $67 0.1 McKean 209 39,045 $387 0.0 Subtotal 527 126,628 $2,813 0.2 Susqueha 3 40.7 Lackawanna 44.4 55.6 $364.9 281 703 168,514 $4,026 0.5 nna Venango 3 28.6 Crawford 57.3 42.7 $360.9 257 351 46,186 $1,126 0.1 Forest 34 5,362 $206 0.3 Warren 390 64,498 $2,742 0.3 Subtotal 775 116,046 $4,074 0.2 Washingt 3 48 Beaver 46.2 53.8 $388.6 377 1,307 186,190 $3,868 0.1 on Wyoming 3 31.2 Lackawanna 53.7 46.3 $376.9 189 307 61,001 $8,812 1.6 Sullivan 123 27,317 $924 0.8 Subtotal 430 88,318 $9,736 0.8 South Carolina ----------------------------------------------------------------------------------------------------------------------------------------------------- Abbevill 2 31 Anderson 50.6 49.4 $227.2 245 471 81,245 $1,585 0.4 e Greenwoo 377 68,065 $2,197 0.2 d McCormic 92 20,306 $521 0.4 k Subtotal 940 169,616 $4,302 0.3 Aiken 3 21.1 Edgefield 40.9 59.1 $808.3 399 729 134,069 $4,668 0.2 Allendal 3 13.6 Hampton 44.0 56.0 $1,471.4 270 131 91,891 $7,683 4.9 e Bamberg 3 17.5 Orangeburg 35.4 64.6 $1,378.9 421 254 100,925 $3,250 1.4 Charlest 3 46.8 Dorchester 46.6 53.4 $354.7 223 266 44,082 $6,285 0.1 on Chester 2 21.6 York 56.3 43.7 $298.4 122 340 80,691 $1,531 0.3 Fairfiel 172 46,609 $2,239 0.6 d Subtotal 512 127,300 $3,770 0.4 Dorchest 3 17.1 Colleton 33.9 66.1 $693.6 240 314 65,333 $8,787 0.6 er Edgefiel 2 21.1 Aiken \a \a $253.9 167 271 71,425 $6,072 2.0 d Georgeto 3 34.7 Horry 43.2 56.8 $284.9 243 206 53,168 $5,223 0.5 wn Greenvil 2 30.4 Spartanburg 54.0 46.0 $160.7 168 761 70,382 $4,146 0.1 le Pickens 532 46,862 $1,039 0.1 Subtotal 1,293 117,244 $5,185 0.1 Hampton 3 13.6 Allendale 42.5 57.5 $1,373.9 297 207 117,387 $4,662 1.6 Jasper 2 28 Hampton 65.4 34.6 $273.1 134 123 68,151 $810 0.3 Beaufort 99 39,147 $3,250 0.1 Subtotal 222 107,298 $4,060 0.2 Kershaw 3 24.2 Lee 44.7 55.3 $588.7 278 324 72,625 $13,605 1.6 Lancaste 0 29.7 Chester \a \a $198.8 199 500 75,181 $9,426 0.9 r Laurens 2 29.5 Newberry 46.3 53.7 $407.2 323 686 126,761 -$1,460 -0.1 Lexingto 3 32.2 Calhoun 60.4 39.6 $384.8 302 799 93,408 $21,657 0.5 n Newberry 3 21.9 Saluda 39.2 60.8 $421.2 260 499 94,597 $2,437 0.4 Oconee 1 32.1 Anderson \a \a $156.3 87 611 66,497 $40,327 3.2 South Dakota ----------------------------------------------------------------------------------------------------------------------------------------------------- Harding 0 55.2 Perkins \a \a $3,212.7 313 275 1,702,14 -$2,479 -13.0 6 Tennessee ----------------------------------------------------------------------------------------------------------------------------------------------------- Anderson 3 16.7 Knox 63.2 36.8 $25.2 64 462 40,928 $793 0.1 Bedford 3 23.3 Marshall 44.7 55.3 $696.7 397 1,408 207,434 $12,571 2.0 Benton 3 19.5 Humphreys 44.3 55.7 $564.6 359 433 68,931 -$248 -0.1 Bledsoe 2 18 Rhea 53.8 46.2 $212.3 176 525 95,876 -$359 -0.3 Cannon 2 21.6 Rutherford 46.2 53.8 $245.0 198 754 102,762 $257 0.1 Carter 3 15.5 Washington 42.5 57.5 $46.4 237 622 38,894 -$797 -0.1 Cheatham 3 21 Robertson 38.8 61.2 $94.1 226 556 68,158 $1,838 0.3 Coffee 3 24.9 Warren 53.2 46.8 $924.5 489 968 135,615 $5,510 0.6 Cumberla 3 29.6 Bledsoe 47.9 52.1 $199.4 138 726 100,352 $2,523 0.4 nd De Kalb 3 18 Warren 44.5 55.5 $230.8 216 806 99,160 $7,674 2.8 Dickson 3 23.1 Humphreys 34.9 65.1 $154.4 171 1,106 148,565 -$1,384 -0.2 Giles 3 18 Lawrence 36.4 63.6 $776.6 545 1,570 249,257 -$1,448 -0.3 Hamilton 2 23.7 Marion 52.3 47.7 $52.7 67 604 56,822 $1,539 0.0 Hardin 3 21.9 McNairy 47.4 52.6 $1,534.2 758 594 115,598 -$467 -0.1 Humphrey 2 19.5 Benton 46.9 53.1 $280.6 145 577 121,983 -$934 -0.3 s Jackson 3 21.5 Putnam 48.7 51.3 $149.6 347 605 83,243 -$804 -0.6 Jefferso 3 16.4 Cocke 40.4 59.6 $120.8 101 1,147 98,067 -$1,995 -0.3 n Knox 3 16.7 Anderson 35.4 64.6 $45.7 62 1,193 87,809 -$2,074 0.0 Lake 2 27.1 Dyer 45.5 54.5 $1,327.1 222 80 89,635 $5,765 6.0 Marion 2 24.6 Hamilton 63.2 36.8 $193.7 140 294 51,060 $889 0.2 Sequatch 169 25,557 -$122 -0.1 ie Subtotal 463 76,617 $767 0.1 Marshall 3 22.9 Giles 40.4 59.6 $198.8 212 1,097 166,840 -$1,169 -0.2 Maury 3 23.1 Marshall 34.0 66.0 $400.0 341 1,532 242,575 -$2,053 -0.2 Morgan 3 23.8 Roane 55.9 44.1 $107.8 122 328 45,997 $1,693 0.7 Putnam 3 14.7 White 44.7 55.3 $113.6 174 1,120 112,122 -$1,336 -0.1 Rhea 2 18 Bledsoe 48.9 51.1 $173.6 101 404 56,049 $1,364 0.3 Rutherfo 2 21.6 Cannon 43.4 56.6 $603.0 346 1,591 195,295 -$2,665 -0.1 rd Sevier 3 19.9 Jefferson 46.6 53.4 $24.9 56 801 71,677 -$3,850 -0.3 Sullivan 3 21.9 Carter 38.1 61.9 $46.5 78 1,315 86,402 -$901 0.0 Trousdal 2 17.6 Macon 44.6 55.4 $21.1 46 405 51,638 $118 0.1 e Wilson 2 18.4 Trousdale or 42.2 57.8 $44.1 86 1,676 210,657 -$6,828 -0.4 Sumner Texas ----------------------------------------------------------------------------------------------------------------------------------------------------- Andrews 2 27.6 Gaines 47.8 52.2 $2,143.2 172 142 828,859 -$630 -0.3 Angelina 2 42.3 Cherokee 60.6 39.4 $154.0 69 790 117,920 $1,717 0.1 Trinity 518 98,748 $576 0.3 Subtotal 1,308 216,668 $2,005 0.1 Atascosa 3 24.5 Wilson 27.5 72.5 $1,411.9 484 1,322 708,067 -$227 0.0 Bastrop 1 26.2 Lee 41.7 58.3 $319.2 216 1,765 392,255 -$1,720 -0.2 Baylor 3 30.1 Throckmorton 34.6 65.4 $2,311.4 372 270 377,871 $143 0.2 Bee 2 30.5 Goliad 40.6 59.4 $2,123.7 589 686 421,287 $894 0.2 Bosque 3 37.3 Johnson 44.6 55.4 $384.0 277 1,077 548,359 $7,056 2.5 Bowie 3 37.1 Cass 47.3 52.7 $1,272.8 209 1,138 280,762 $7,799 0.5 Brazoria 3 37.7 Matagorda 48.7 51.3 $7,610.2 408 1,783 566,809 $4,238 0.1 Brazos 3 24 Burleson 74.1 25.9 $743.3 76 1,084 265,163 -$3,825 -0.2 Brooks 2 35.9 Jim Wells 47.6 52.4 $1,254.3 243 283 458,487 -$1,521 -1.5 Jim Hogg 188 768,209 -$1,676 -2.2 Subtotal 471 1,226,69 -$2,359 -1.4 6 Brown 3 25.9 Comanche 43.8 56.2 $516.7 444 1,228 516,058 -$55 0.0 Burleson 2 24 Brazos 40.3 59.7 $989.2 221 1,337 321,657 -$3,688 -1.5 Caldwell 3 28.3 Travis 50.1 49.9 $476.5 216 1,068 265,269 $32 0.0 Calhoun 3 30.3 Victoria 44.0 56.0 $2,808.8 395 257 213,390 $5,338 1.5 Callahan 3 21.3 Taylor 38.8 61.2 $624.9 323 849 488,662 -$373 -0.2 Chambers 2 34.2 Liberty 48.3 51.7 $6,241.3 227 421 241,933 $9,406 2.2 Cherokee 2 31.6 Anderson 36.3 63.7 $1,401.4 200 1,429 283,241 $71,214 9.6 Clay 2 33.3 Wichita 41.7 58.3 $1,238.6 360 818 603,652 $1,891 1.1 Coke 3 31.7 Tom Green 53.1 46.9 $588.8 218 336 482,480 -$3,851 -6.6 Coleman 2 29.5 Brown 37.1 62.9 $1,249.5 585 837 736,739 -$4,068 -2.7 Cooke 2 31.6 Denton 41.8 58.2 $1,114.6 472 1,487 478,860 $888 0.2 De Witt 2 27.9 Victoria 34.5 65.5 $575.1 329 1,502 560,093 -$447 -0.1 Denton 3 26.9 Wise 35.9 64.1 $1,599.3 583 1,782 362,712 $4,345 0.1 Duval 3 17.5 Jim Wells 35.3 64.7 $1,727.9 501 880 844,195 -$2,551 -1.7 Ector 2 19.6 Midland 66.7 33.3 $101.1 14 208 462,315 -$1,173 -0.1 Crane 53 491,112 -$1,223 -1.7 Ward 85 363,034 -$500 -0.3 Winkler 39 487,734 -$648 -0.5 Subtotal 385 1,804,19 -$3,543 -0.1 5 Fayette 3 19.3 Lee 32.8 67.2 $868.2 643 2,659 515,108 $3,962 0.9 Frio 3 33.5 LaSalle 24.1 75.9 $1,603.3 264 485 662,124 $7,687 4.5 Glasscoc 3 30.7 Martin 40.6 59.4 $3,108.6 361 200 436,528 $808 5.1 k Goliad 1 26 Refugio 55.4 44.6 $625.8 226 786 433,568 -$1,385 -1.4 Gray 3 22.1 Roberts 41.8 58.2 $3,086.5 574 341 560,796 $5,375 1.1 Hamilton 3 31.4 Coryell 34.5 65.5 $387.5 292 966 465,847 $625 0.4 Hansford 3 26 Ochiltree 34.2 65.8 $7,868.6 842 279 582,092 $36,721 27.9 Hardeman 2 21.3 Foard 38.3 61.7 $4,070.7 731 342 322,727 -$574 -0.7 Harris 3 25.6 Waller 50.6 49.4 $2,694.7 119 1,727 311,005 $24,427 0.0 Harrison 3 31.3 Panola 57.5 42.5 $15.8 7 1,107 214,495 -$2,054 -0.2 Hartley 2 24 Moore 36.4 63.6 $5,838.9 431 245 822,989 $39,879 36.1 Hays 2 22.1 Guadalupe 57.3 42.7 $256.0 105 816 298,493 $3,270 0.2 Hemphill 3 21.4 Roberts 57.0 43.0 $1,135.1 223 230 623,614 $2,433 2.9 Henderso 3 25 Van Sandt 53.6 46.4 $108.3 28 1,630 367,096 $8,922 0.8 n Hood 2 24 Parker 52.7 47.3 $63.1 114 799 225,450 $10,523 1.3 Somervel 245 71,694 -$664 -0.5 l Subtotal 1,044 297,144 $9,859 1.1 Hutchins 2 30.6 Hansford 50.9 49.1 $2,188.7 239 190 400,166 $29,932 6.0 on Jefferso 3 42 Chambers 52.3 47.7 $6,194.0 297 562 433,597 $13,336 0.3 n Kent 1 23.7 Stonewall 41.1 58.9 $1,234.9 271 171 560,952 $1,028 6.4 Kerr 2 24.2 Gillespie 41.6 58.4 $559.6 289 778 547,882 -$1,326 -0.1 Bandera 650 364,190 -$1,535 -0.6 Subtotal 1,428 912,072 -$2,861 -0.2 Kimble 3 31.5 Menard 51.3 48.7 $192.1 130 485 773,046 -$829 -1.2 Kleberg 3 22.6 Nueces 53.4 46.6 $1,262.8 277 272 \a $6,099 1.3 La Salle 0 33.5 Frio 39.7 60.3 $1,571.4 178 280 526,978 $314 0.5 Lamar 3 28 Delta 43.5 56.5 $2,834.3 745 1,539 431,136 $1,241 0.1 Lampasas 2 36.5 Mills 49.5 50.5 $233.8 259 746 434,737 -$2,462 -1.0 Burnet 1,110 537,198 $130 0.0 Subtotal 1,856 971,935 -$2,332 -0.3 Lavaca 3 34.1 DeWitt 40.5 59.5 $1,539.9 550 2,558 526,067 -$2,397 -0.7 Lee 3 19.3 Fayette 36.2 63.8 $260.6 353 1,685 344,475 -$130 -0.1 Limeston 3 26.6 Falls 48.3 51.7 $1,326.7 420 1,212 442,882 -$59 0.0 e Mason 2 29.2 McCulloch 50.8 49.2 $237.0 202 565 595,265 $1 0.0 Llano 565 532,277 -$710 -0.3 Subtotal 1,130 1,127,54 -$709 -0.2 2 Matagord 3 25 Wharton 44.5 55.5 $9,735.8 727 768 550,642 $22,489 3.5 a Medina 2 40 Bexar 55.6 44.4 $2,353.0 551 1,570 749,653 $4,539 0.9 Midland 3 19.2 Martin 46.6 53.4 $1,765.5 369 411 863,073 $200 0.0 Mills 3 21.7 San Saba 39.1 60.9 $382.5 308 731 425,370 -$1,757 -2.3 Mitchell 2 30.5 Nolan 34.8 65.2 $3,614.7 871 378 541,253 -$2,667 -2.2 Montague 3 34.2 Cooke 43.1 56.9 $635.8 231 1,234 493,542 -$4,243 -1.4 Motley 1 31.6 Cottle 46.9 53.1 $2,048.5 397 214 589,947 $757 3.5 Oldham 1 29.5 Deaf Smith 48.8 51.2 $2,758.9 278 140 841,907 $9,033 20.9 Palo 2 19 Parker 53.4 46.6 $241.7 216 830 524,449 -$4,491 -1.0 Pinto Jack 730 531,787 -$2,934 -2.6 Subtotal 1,560 1,056,23 -$7,425 -1.4 6 Panola 1 28.6 Shelby 61.0 39.0 $104.4 76 866 202,258 $4,370 1.2 Polk 3 43.9 Walker 65.5 34.5 $20.9 27 551 135,988 $998 0.1 Presidio 3 26.5 Brewster 69.4 30.6 $209.8 18 138 1,690,09 -$204 -0.3 6 Red 3 29.6 Lamar 48.8 51.2 $2,056.3 377 1,088 444,611 $6,652 3.1 River Reeves 1 76.4 Ector 58.8 41.2 $1,792.4 122 176 1,013,80 $4,157 2.4 3 Loving 14 352,072 -$92 -3.2 Subtotal 190 1,365,87 $4,065 2.3 5 Roberts 0 21.4 Hemphill \a \a $838.2 136 96 566,057 -$234 -1.6 Rusk 3 29 Panola 42.1 57.9 $168.5 132 1,296 267,448 $5,567 0.7 San 3 44.2 Jasper 79.4 20.6 $29.6 31 291 65,250 $2,251 1.8 Augusti ne Scurry 3 32.9 Fisher 34.0 66.0 $4,176.7 983 606 478,576 -$3,251 -1.1 Shackelf 2 23.7 Callahan 44.3 55.7 $468.9 222 250 515,842 -$1,219 -1.7 ord Shelby 2 19.3 San Augustine \a \a $155.3 86 1,047 201,427 $28,328 7.0 Starr 3 50.3 Hidalgo 38.0 62.0 $3,278.9 378 609 636,083 $16,635 4.4 Stephens 2 24 Shackelford 41.0 59.0 $135.2 147 454 464,737 -$157 -0.1 Stonewal 3 23.7 Kent 36.0 64.0 $2,169.4 499 305 483,523 -$3,251 -10.0 l Tarrant 2 28.2 Parker 66.5 33.5 $385.1 117 1,048 184,081 $7,439 0.0 Throckmo 3 30.1 Baylor 45.6 54.4 $919.2 269 249 562,070 $936 2.6 rton Travis 2 26.8 Williamson 45.1 54.9 $1,264.5 544 1,038 396,165 -$118 0.0 Val 2 70.1 Uvalde 54.8 45.2 $898.5 138 238 1,748,02 -$3,516 -0.7 Verde 8 Kinney 128 628,811 -$3,631 -10.3 Maverick 169 470,270 -$1,635 -0.4 Subtotal 535 2,847,10 -$8,781 -0.9 9 Victoria 3 25.4 Jackson 39.5 60.5 $3,164.5 693 1,084 458,111 $781 0.0 Walker 3 29.2 Madison 57.8 42.2 $63.4 21 826 183,988 $3,869 0.5 Waller 3 15.6 Austin 43.0 57.0 $2,537.2 200 1,066 238,110 $1,700 0.4 Wise 2 26.9 Denton 43.9 56.1 $326.6 137 2,075 411,737 -$2,729 -0.4 Wood 2 27.2 Hopkins 50.9 49.1 $188.6 172 1,331 214,656 $11,624 2.1 Rains 493 94,427 $1,800 1.6 Subtotal 1,824 309,083 $13,423 2.0 Young 3 32.9 Stephens 38.3 61.7 $1,165.5 367 709 553,406 -$3,430 -1.0 Zapata 3 48.2 Webb 59.8 40.2 $169.2 76 323 403,273 $984 0.8 Utah ----------------------------------------------------------------------------------------------------------------------------------------------------- Beaver 3 46.4 Garfield 46.1 53.9 $145.1 73 219 130,994 $2,267 3.1 Emery 2 53.8 Sanpete 42.0 58.0 $190.6 116 450 158,798 $294 0.2 Carbon 199 201,679 -$938 -0.3 Subtotal 649 360,477 -$644 -0.1 Garfield 3 46.4 Beaver 39.5 60.5 $67.0 32 285 121,381 $26 0.0 Kane 143 175,384 $181 0.2 Subtotal 428 296,765 $207 0.1 Juab 2 37.9 Utah 45.1 54.9 $1,172.7 233 228 275,632 $2,688 2.9 Rich 2 55.5 Summit 41.9 58.1 $280.7 28 162 523,744 $3,708 13.9 Salt 2 32.3 Utah 73.3 26.7 $172.3 22 593 113,912 $5,181 0.0 Lake Sanpete 2 40.8 Juab 29.8 70.2 $321.1 165 776 359,717 $18,179 7.3 Sevier 1 52.4 Sanpete \a \a $400.5 159 478 147,032 $10,818 4.3 Piute 106 44,540 $2,023 11.7 Subtotal 584 191,572 $12,841 4.7 Summit 2 50.4 Weber 49.3 50.7 $145.7 58 476 589,528 $2,844 0.4 Tooele 2 48 Salt Lake 48.1 51.9 $224.3 47 332 291,746 $2,734 0.5 Vermont ----------------------------------------------------------------------------------------------------------------------------------------------------- Caledoni 3 38.6 Lamoille 64.8 35.2 $235.6 237 452 94,255 $7,806 1.5 a Essex 79 25,497 $6,492 7.0 Subtotal 531 119,752 $14,298 2.4 Chittend 1 33.3 Franklin 63.8 36.2 $362.3 155 456 83,355 $6,921 0.2 en Washingt 344 56,290 $4,332 0.3 on Subtotal 800 139,645 $11,253 0.2 Lamoille 2 36.6 Chittenden 52.3 47.7 $116.9 98 297 48,967 $3,233 0.7 Rutland 3 33.3 Addison 52.4 47.6 $340.5 180 530 125,770 $6,629 0.5 Benningt 171 32,374 $4,877 0.6 on Subtotal 701 158,144 $11,506 0.5 Windham 1 71.4 Rutland 48.1 51.9 $86.6 69 305 46,818 $5,535 0.6 Virginia ----------------------------------------------------------------------------------------------------------------------------------------------------- Albemarl 3 28.8 Orange 52.1 47.9 $406.2 205 747 172,251 $11,275 0.4 e Greene 198 33,679 -$890 -0.4 Nelson 357 73,200 $1,319 0.5 Subtotal 1,302 279,130 $11,704 0.3 Appomatt 2 18.1 Campbell 45.4 54.6 $118.3 209 353 76,643 -$1,143 -0.5 ox Bedford 3 30.5 Botetourt 44.3 55.7 $200.0 198 1,198 194,946 -$1,701 -0.1 Campbell 3 18.1 Appomattox 44.2 55.8 $419.8 444 621 140,671 $2,200 0.1 Amherst 406 92,720 $122 0.0 Subtotal 1,027 233,391 $2,322 0.1 Chesapea 3 20.9 Suffolk 47.1 52.9 $1,139.0 154 201 60,667 $8,360 0.2 ke Virginia 147 29,958 $6,993 0.1 Beach Subtotal 348 90,625 $15,353 0.1 Culpeper 3 20 Orange 48.2 51.8 $660.0 246 521 114,926 $8,552 1.3 Rappahan 335 72,141 -$557 -0.3 nock Subtotal 856 187,067 $7,995 0.9 Fauquier 3 24.7 Culpeper 46.4 53.6 $554.4 141 957 239,034 $15,969 1.0 Prince 261 35,936 -$1,265 0.0 William Subtotal 1,218 274,970 $14,704 0.2 Gloucest 3 41 New Kent 50.7 49.3 $465.5 147 108 23,211 $1,335 0.2 er Mathews 58 8,421 $1,319 0.6 Middlese 67 18,263 $891 0.4 x Subtotal 233 49,895 $3,544 0.3 Goochlan 1 30.8 Louisa \a \a $263.9 128 229 46,789 $1,334 0.3 d Powhatan 208 43,088 $1,016 0.3 Subtotal 437 89,877 $2,350 0.3 New Kent 3 29.1 Hanover 51.8 48.2 $836.7 123 64 16,392 $688 0.3 Henrico 154 26,403 $2,728 0.0 James 58 8,861 $874 0.1 City York 39 1,976 $1,260 0.1 Hampton \a \a $0 0.0 Newport \a \a $0 0.0 News Subtotal 315 53,632 $5,549 0.0 Prince 2 33.3 New Kent 42.6 57.4 $338.1 143 133 44,981 $1,612 0.2 George Rockbrid 2 41 Botetourt 47.2 52.8 $169.5 129 631 140,110 $3,371 0.6 ge Shenando 2 24.7 Frederick 45.5 54.5 $517.3 160 841 126,844 $12,385 1.9 ah Spotsylv 3 38.3 Fauquier 57.1 42.9 $573.1 283 253 47,947 -$859 0.0 ania King 139 34,180 $2,884 0.8 George Stafford 158 19,896 -$1,028 -0.1 Subtotal 550 102,023 $998 0.0 Tazewell 3 32.8 Smyth 52.9 47.1 $63.3 101 488 133,601 $150 0.0 Buchanan 70 6,303 $331 0.1 Subtotal 558 139,904 $480 0.0 Washington ----------------------------------------------------------------------------------------------------------------------------------------------------- Asotin 1 30.5 Garfield \a \a $2,313.9 176 140 304,471 $1,588 0.4 Benton 2 36.9 Franklin 39.5 60.5 $4,998.2 354 1,078 611,903 $65,240 2.2 Clark 2 79.9 Lewis 57.3 42.7 $131.1 70 1,175 72,841 $12,605 0.2 Cowlitz 349 31,103 $16,718 0.9 Skamania 63 4,220 -$789 -0.5 Wahkiaku 108 13,379 $495 0.7 m Subtotal 1,695 121,543 $29,028 0.3 Ferry 1 50.7 Stevens \a \a $147.8 44 179 809,816 $1,261 1.3 Kittitas 3 38 Yakima 48.8 51.2 $362.1 113 757 177,815 $20,531 3.7 Klickita 3 67.4 Yakima 38.9 61.1 $3,929.1 414 530 588,732 $10,415 3.2 t Pierce 3 58.2 Snohomish 58.9 41.1 $358.9 113 989 50,868 $21,743 0.2 King 1,091 41,653 $41,438 0.1 Kitsap 359 19,129 $658 0.0 Mason 211 19,986 $3,282 0.4 Thurston 832 56,300 $20,354 0.5 Subtotal 3,482 187,936 $87,474 0.1 Skagit 2 31 Snohomish 53.9 46.1 $556.1 166 714 93,495 $63,228 3.1 Island 261 15,900 $2,319 0.2 San Juan 174 16,887 $201 0.1 Subtotal 1,149 126,282 $65,748 1.7 Snohomis 2 31 Skagit 57.6 42.4 $642.5 127 1,139 60,588 $23,187 0.2 h Clallam 292 21,034 $2,411 0.2 Jefferso 144 13,091 $351 0.1 n Subtotal 1,575 94,713 $25,948 0.2 Stevens 2 50.7 Ferry 43.1 56.9 $797.2 306 989 525,121 $6,243 1.1 West Virginia Barbour 1 23.1 Randolph \a \a $4.2 27 437 86,546 -$1,628 -0.8 Braxton 2 33.7 Nicholas 66.6 33.4 $59.7 53 280 67,081 -$796 -0.4 Clay 100 17,292 -$265 -0.2 Subtotal 380 84,373 -$1,061 -0.3 Cabell 3 29.3 Lincoln 55.1 44.9 $38.5 65 305 31,987 $341 0.0 Wayne 151 28,622 -$505 -0.1 Subtotal 456 60,609 -$165 0.0 Gilmer 2 24.1 Lewis 65.9 34.1 $38.0 51 214 63,317 -$1,562 -1.5 Calhoun 171 38,442 -$432 -0.5 Subtotal 385 101,759 -$1,994 -1.0 Hampshir 3 23.7 Mineral 43.0 57.0 $602.7 184 547 140,416 $683 0.3 e Hardy 3 14 Grant 42.4 57.6 $454.1 158 467 142,940 $8,158 4.0 Jackson 2 21.4 Roane 48.9 51.1 $57.2 110 730 116,677 -$2,715 -0.6 Jefferso 3 14.6 Berkeley 50.8 49.2 $776.1 155 357 72,978 $1,136 0.1 n Lewis 1 18 Harrison 57.4 42.6 $63.6 50 364 79,427 -$1,581 -0.6 Upshur 399 64,282 -$692 -0.2 Subtotal 763 143,709 -$2,272 -0.4 Lincoln 3 29.3 Cabell 54.8 45.2 $20.2 60 214 27,435 -$1,038 -0.4 Boone 23 2,335 \a \a Logan 10 \a -$57 0.0 Subtotal 247 29,770 -$1,094 -0.1 Marion 3 15.5 Monongalia 63.8 36.2 $35.6 37 317 39,350 -$1,350 -0.1 Taylor 278 43,697 $740 0.4 Subtotal 595 83,047 -$610 -0.1 Mercer 2 35.7 Raleigh 58.1 41.9 $12.5 39 409 53,450 -$648 -0.1 Mineral 1 23.7 Hampshire 54.0 46.0 $137.4 104 343 79,655 $761 0.2 Monongal 2 15.5 Marion 29.9 70.1 $4.9 16 430 58,074 -$1,930 -0.1 ia Nicholas 2 43.4 Braxton 60.9 39.1 $64.8 74 304 39,658 -$608 -0.2 Webster 74 8,043 -$369 -0.3 Subtotal 378 47,701 -$976 -0.2 Pendleto 3 30.7 Grant 41.9 58.1 $998.6 279 590 175,319 $6,793 5.1 n Pocahont 3 33.7 Greenbrier 49.9 50.1 $172.4 173 357 128,965 -$1,742 -1.2 as Preston 3 24.5 Monongalia 52.4 47.6 $189.3 134 866 151,697 -$2,725 -0.6 Raleigh 3 35.7 Mercer 73.2 26.8 $59.4 106 260 35,439 -$783 -0.1 Fayette 205 23,065 -$783 -0.1 Summers 316 57,178 -$141 -0.1 Wyoming 31 3,978 -$126 0.0 Subtotal 812 119,660 -$1,832 -0.1 Tyler 2 42.9 Marshall 57.9 42.1 $34.8 59 234 48,031 -$166 -0.1 Wetzel 260 47,771 -$411 -0.1 Subtotal 494 95,802 -$577 -0.1 Wisconsi n Adams 2 25.6 Juneau 38.8 61.2 $1,186.5 428 360 121,572 $5,741 2.3 Forest 3 42.5 Lincoln 46.8 53.2 $90.7 179 111 26,150 -$429 -0.3 Florence 86 19,371 -$954 -1.1 Oneida 117 39,036 $1,951 0.3 Vilas 44 7,578 $1,141 0.3 Subtotal 358 92,135 $1,710 0.1 Marinett 3 22.7 Oconto 38.4 61.6 $1,040.2 530 551 131,641 -$2,866 -0.4 e Marquett 3 20.1 Wautoma 35.2 64.8 $1,374.3 526 443 124,804 $1,303 0.6 e Rusk 3 36.8 Barron 57.2 42.8 $696.7 521 578 159,104 -$279 -0.1 Sawyer 184 48,463 $2,239 0.8 Subtotal 762 207,567 $1,960 0.4 Wyoming Big Horn 3 39 Washakie 45.4 54.6 $495.9 271 495 443,434 $6,763 4.0 Carbon 2 148.7 Natrona 52.7 47.3 $347.3 49 310 2,281,65 $4,457 1.4 7 Albany 315 1,922,30 $4,105 0.7 4 Subtotal 625 4,203,96 $8,562 1.0 1 Converse 3 55 Niobrara 39.1 60.9 $685.9 91 348 2,515,29 $2,161 1.0 0 Natrona 2 50.2 Converse 72.8 27.2 $276.5 105 311 2,806,70 -$156 0.0 7 Niobrara 3 55 Converse 44.6 55.4 $1,085.6 156 278 1,608,31 $1,854 3.6 8 Sheridan 3 33.6 Johnson 55.6 44.4 $473.7 96 568 1,608,20 $1,642 0.3 6 Sweetwat 2 101 Fremont 63.5 36.5 $466.5 42 160 1,420,99 $396 0.0 er 3 Sublette 275 591,779 $3,384 2.9 Subtotal 435 2,012,77 $3,780 0.4 2 Uinta 1 101.9 Sweetwater 64.7 35.3 $71.9 29 300 940,013 $1,213 0.3 Weston 2 47.4 Crook 54.6 45.4 $405.2 109 233 1,420,63 $2,093 1.5 2 ----------------------------------------------------------------------------------------------------------------------------------------------------- Notes: Farm income may be negative because of the Department of Commerce's Bureau of Economic Analysis reports farm income as net profit and does not include the value of agricultural products sold from inventory. Subtotals may not add due to rounding. \a Data not available. \b Estimated driving distance did not appear reasonable when checked against a map. We have reported the straight-line distance instead. Sources: All data on county offices, county office employees, workload, benefits provided, number of farmers receiving benefits, number of farms, and number of farmland acres, USDA. All data on farm income and farm income as a percentage of total county income, Department of Commerce. Information on estimated driving distances was calculated using MapQuest.com, Inc. software. SMALL FSA COUNTY OFFICES THAT ARE CLOSEST TO AN OFFICE IN ANOTHER STATE ========================================================= Appendix III Proximity to next closest FSA office Proximity to next closest within the state FSA office in another (estimated driving state (estimated driving distance in miles) distance in miles) ------------------------ ------------------------- Number of permanent FSA county full-time FSA county FSA county State office employees Miles office Miles office ------ ---------------- ---------- -------- -------------- -------- --------------- AL Marion 3 32 Lamar 26.7 Itawamba, MS CA Imperial 3 88.1 Riverside 64.8 Yuma, AZ CA Modoc 3 104.9 Lassen 55.8 Lake, OR CO La Plata 2 44.6 Montezuma 35.6 San Juan, NM CO Las Animas 2 81.9 Otero 22.6 Colfax, NM CO Sedgwick 3 32 Phillips 15.4 Deuel, NE DE New Castle 3 39.5 Kent 7.1 Cecil, MD FL Gadsden 2 24.6 Leon 23.3 Decatur, GA ID Lemhi 1 138.4 Butte 92 Ravalli, MT ID Oneida 3 57.3 Franklin 32.6 Box Elder, UT ID Payette 2 11 Washington 8.4 Malheur, OR IL Wabash 3 23 Lawrence 12.4 Gibson, IN IN Perry 0 24 Warrick 12.6 Daviess, KY IN Steuben 3 23.1 De Kalb 23.1 Branch, MI IN Vanderburgh 3 15.3 Warrick 9 Henderson, KY IA W. Pottawattamie 0 24 E. 5.1 Sarpy, NE Pottawattamie KY Boone 3 31.2 Grant 30.8 Dearborn, IN KY Meade 3 31.8 Breckenridge 13.6 Harrison, IN LA Washington 3 25.2 Tangipahoa 23 Walthall, MS MD Garrett 3 47.9 Allegany 19.1 Preston, WV MD Washington 2 25.3 Frederick 21.8 Berkeley, WV MA Berkshire 2 56.6 Hampshire 33.5 Columbia, NY MA Middlesex 3 38.4 Worcester 27.8 Hillsboro, NH MI Menominee 3 51 Delta 23.6 Marinette, WI MN Washington 2 41.8 Dakota 30.1 St. Croix, WI MS Adams 2 40.7 Claiborne 10.2 Concordia, LA MO Barry 3 41.9 Newton 37 Carroll, AR MO Marion 3 23.9 Ralls 16.4 Adams, IL MO Putnam 3 24.1 Sullivan 20.7 Appanoose, IA MO Ripley 3 31.8 Butler 29 Randolph, AR MO St. Louis 3 24.2 St. Charles 21.8 St. Clair, IL NV Clark 2 243.9 White Pine 118.4 Washington, UT NH Cheshire 2 51 Hillsborough 20.1 Windham, VT NH Coos 2 48.5 Grafton 30.7 Caledonia, VT NH Grafton 3 50.1 Coos 25.9 Caledonia, VT NH Hillsborough 1 31.7 Merrimack 27.8 Middlesex, MA NM Colfax 2 81.4 Union 22.6 Las Animas, CO NM McKinley 1 133.8 San Juan 94.5 Apache, AZ NM San Juan 2 133.8 McKinley 35.6 La Plata, CO NY Clinton 2 58.3 Franklin 54.9 Franklin, VT NY Columbia 3 37.9 Rensselaer 33.5 Berkshire, MA NY Suffolk 1 118.1 Dutchess 58.9 New London, CT NC Cherokee 2 43.9 Swain 19.1 Union, GA NC Watauga 3 25.4 Ashe 23.1 Johnson, TN ND Adams 2 40 Bowman 39.9 Perkins, SD ND Golden Valley 3 60.5 Stark 10.2 Wibaux, MT ND Sioux 1 55.2 Morton 47.9 Corson, SD OH Meigs 3 24.8 Gallia 15.5 Mason, WV OH Washington 3 44.9 Athens 15 Mill Run, WV OK McCurtain 3 44.3 Choctaw 31.3 Red River, TX OK Osage 3 46.3 Nowata 35.6 Chautauqua, KS OR Jackson 3 75.8 Klamath 50.8 Siskiyou, CA OR Lake 2 96.1 Klamath 55.8 Modoc, CA OR Sherman 3 41 Wasco 30.7 Klickitat, WA OR Wasco 3 41 Sherman 36.3 Klickitat, WA PA Beaver 2 54.2 Butler 36.8 Columbiana, OH PA Chester 3 29.1 Montgomery 24.7 New Castle, DE PA Washington 3 48 Beaver 39.5 Marshall, WV SD Harding 0 55.2 Perkins 42.6 Bowman, ND TX Bowie 3 37.1 Cass 24.2 Miller, AR TX Cooke 2 31.6 Denton 22.5 Love, OK TX Lamar 3 28 Delta 26.2 Choctaw, OK VT Caledonia 3 38.6 Lamoille 25.9 Grafton, NH VT Windham 1 71.4 Rutland 20.1 Cheshire, NH VA Tazewell 3 32.8 Smyth 30 Mercer, WV WA Asotin 1 30.5 Garfield 0.7 Nez Perce, ID WA Clark 2 79.9 Lewis 29.3 Clackamas, OR WA Klickitat 3 67.4 Yakima 30.7 Sherman, OR WV Mercer 2 35.7 Raleigh 30 Tazewell, VA WV Mineral 1 23.7 Hampshire 22.7 Allegany, MD WV Preston 3 24.5 Monongolia 19.1 Garrett, MD WY Carbon 2 148.7 Natrona 128.5 Routt, CO WY Uinta 1 101.9 Sweetwater 56.5 Summit, UT ----------------------------------------------------------------------------------------- Sources: Information on employees, FSA's database. Driving distances computed using MapQuest.com, Inc. software. MAJOR CONTRIBUTORS TO THIS REPORT ========================================================== Appendix IV James L. Dishmon, Jr. Jerry D. Hall Cathy L. Helm James R. Jones, Jr. Mitchell B. Karpman Paul J. Pansini Carol Herrnstadt Shulman John W. Shumann RELATED GAO PRODUCTS U.S. Department of Agriculture: Administrative Streamlining Is Expected to Continue Through 2002 (GAO/RCED-99-34, Dec. 11, 1998). U. S. Department of Agriculture: Status of Closing and Consolidating County Offices (GAO/T-RCED-98-250, Jul. 29, 1998). Farm Programs: Service to Farmers Will Likely Change as Farm Service Agency Continues to Reduce Staff and Close Offices (GAO/RCED-98-136, May 1, 1998). Farm Programs: Administrative Requirements Reduced and Further Program Delivery Changes Possible (GAO/RCED-98-98, Apr. 20, 1998). U.S. Department of Agriculture: Status of USDA's Reorganization (GAO/RCED-98-109R, Mar. 19, 1998). Farm Programs: Impact of the 1996 Farm Act on County Office Workload (GAO/RCED-97-214, Aug. 19, 1997). U.S. Department of Agriculture: Update on Reorganization and Streamlining Efforts (GAO/RCED-97-186R, Jun. 24, 1997). *** End of document. ***