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Report to the Chairman, Committee on Homeland Security and Governmental 
Affairs, U.S. Senate: 

September 2005: 

Crop Insurance: 

Actions Needed to Reduce Program's Vulnerability to Fraud, Waste, and 
Abuse: 

[Hyperlink, http://www.gao.gov/cgi-bin/getrpt?GAO-05-528]: 

GAO Highlights: 

Highlights of GAO-05-528, a report to the Chairman, Committee on 
Homeland Security and Governmental Affairs, U.S. Senate: 

Why GAO Did This Study: 

Federal crop insurance protects producers against losses from natural 
disasters. In 2004, the crop insurance program provided $47 billion in 
coverage, at a cost of $3.6 billion, including an estimated $160 
million in losses from fraud and abuse. The U.S. Department of 
Agriculture’s (USDA) Risk Management Agency (RMA) administers this 
program with private insurers. The Agricultural Risk Protection Act of 
2000 (ARPA) provided new tools to monitor and control abuses, such as 
having USDA’s Farm Service Agency (FSA) conduct field inspections. GAO 
assessed, among other things, the (1) effectiveness of USDA’s processes 
to address program fraud and abuse and (2) extent to which the 
program’s design makes it vulnerable to abuse. 

What GAO Found: 

While RMA employs a range of processes to help prevent and detect 
fraud, waste, and abuse and has reported more than $300 million in 
savings over the past 4 years in the crop insurance program, GAO found 
that RMA does not effectively use all the tools it has available. 
Specifically: 

* Inspections during the growing season are not being used to maximum 
effect. Between 2001 and 2004, FSA conducted only 64 percent of the 
inspections RMA had requested. Without inspections, producers may 
falsely claim crop losses. 

* RMA’s data analysis of the largest farming operations is incomplete. 
According to GAO’s analysis, in 2003, about 21,000 of the largest 
farming operations in the program did not report individuals or 
entities with an ownership interest in these operations. As a result, 
USDA should be able to recover up to $74 million in claims payments. 
FSA did not give RMA access to the data needed to identify such 
individuals or entities. 

* RMA is not effectively overseeing insurance companies’ quality 
assurance programs. GAO’s review of 120 cases showed that companies 
completed only 75 percent of the required reviews and those that were 
conducted were largely paper exercises. 

* RMA has infrequently used its new sanction authority to address 
program abuses. RMA has not issued regulations to implement its new 
sanction authority under ARPA. RMA imposed only 114 sanctions from 2001 
through 2004. Annually, RMA identifies about 3,000 questionable claims, 
not all of which are necessarily sanctionable. 

Eight recent crop insurance fraud cases, investigated by USDA’s Office 
of Inspector General and resulting in criminal prosecutions between 
June 2003 and April 2005, reflect these issues. Totaling $3 million in 
insurance claims, these cases show how producers, sometimes in 
collusion with insurance agents and others, falsely claim prevented 
planting, weather damage, and low production. In some cases, producers 
hid or moved production from one field to another. Several of these 
cases also demonstrate the importance of having FSA and RMA work 
together to identify and share information on questionable farming 
practices/activities. 

RMA’s regulations, as well as statutory requirements, create program 
design problems that hinder RMA officials’ efforts to reduce program 
abuse. For example, RMA’s regulations allow producers to insure fields 
individually rather than all fields combined. This option enables 
producers to “switch” reporting of yield among fields to either make 
false claims or build up a higher yield history on a field to increase 
its eligibility for higher insurance guarantees. High premium 
subsidies, established by statute, may also limit RMA’s ability to 
control program abuse because the subsidies shield producers from the 
full effect of paying higher premiums associated with frequent or 
larger claims. 

What GAO Recommends: 

To reduce program fraud, Congress should consider reducing premium 
subsidies to producers who repeatedly file questionable claims. In 
addition, USDA should (1) improve the effectiveness of growing season 
inspections, (2) recover payments from operations that failed to 
disclose producers’ ownership interests, (3) strengthen oversight of 
insurers’ use of quality controls, and (4) issue regulations for its 
expanded sanction authority. 

USDA agreed with most of GAO’s recommendations. However, it stated that 
it does not have the resources to conduct all growing season 
inspections. 

www.gao.gov/cgi-bin/getrpt?GAO-05-528. 

To view the full product, including the scope and methodology, click on 
the link above. For more information, contact Robert A. Robinson at 
(202) 512-3841 or robinsonr@gao.gov. 

[End of section] 

Contents: 

Letter: 

Results in Brief: 

Background: 

RMA Has Strengthened Procedures for Preventing Questionable Claims, but 
the Program Remains Vulnerable to Abuse: 

RMA's Regulations and Statutory Requirements Hinder RMA Officials' 
Efforts to Reduce Abuse in the Crop Insurance Program: 

RMA's Failure to Follow Its Guidelines Has Resulted in Program Losses 
for Some New and Expanded Crop Insurance Products: 

Conclusions: 

Matter for Congressional Consideration: 

Recommendations for Executive Action: 

Agency Comments and Our Evaluation: 

Appendixes: 

Appendix I: Objectives, Scope, and Methodology: 

Appendix II: Selected Information on the Federal Crop Insurance 
Program, 1981-2004: 

Appendix III: Results of Implementation of the Agricultural Risk 
Protection Act of 2000: Survey of FSA County Directors of USDA: 

Appendix IV: Results of Improving Compliance and Integrity in the 
Federal Crop Insurance Program: Survey of Crop Insurance Agents: 

Appendix V: Crop Insurance Fraud Cases Criminally Prosecuted, June 2003 
to April 2005: 

Appendix VI: Comparison of Loss Ratios for Crop Development and 
Expansion Products: 

Appendix VII: Comments from the U.S. Department of Agriculture: 

GAO Comments: 

Appendix VIII: GAO Contact and Staff Acknowledgments: 

Related GAO Products: 

Tables: 

Table 1: Premium Subsidies Before and After ARPA: 

Table 2: Crop Insurance Policyholders Failing to Disclose Ownership 
Interest, by Entity Type, Crop Year 2003: 

Table 3: RMA Sanctions Requested and Imposed, Crop Years 2001 to 2005: 

Table 4: Number of USDA OIG Crop Insurance Investigations, Number of 
Referrals to the Department of Justice, and Case Disposition, Fiscal 
Years 1996 to 2005: 

Table 5: Production Reported by an Irrigated Cotton Producer Indicating 
Yield Switching: 

Table 6: Crop Insurance Fraud Cases Investigated by the USDA/OIG and 
Resulting in Criminal Prosecution, June 2003 to April 2005: 

Figures: 

Figure 1: Location of Producers Identified by RMA for Field 
Inspections, 2003: 

Figure 2: FSA Inspectors' Primary Reasons for Not Conducting Field 
Inspections of Producers with Notable Policy Irregularities: 

Abbreviations: 

ARPA: Agricultural Risk Protection Act of 2000: 

FCIC: Federal Crop Insurance Corporation: 

FSA: Farm Service Agency: 

FSI: Office of Forensic Audits and Special Investigations: 

NASS: National Agricultural Statistics Service: 

OIG: Office of Inspector General: 

OMB: Office of Management and Budget: 

RMA: Risk Management Agency: 

SRA: Standard Reinsurance Agreement: 

USDA: U.S. Department of Agriculture: 

Letter September 30, 2005: 

The Honorable Susan M. Collins: 
Chairman, Committee on Homeland Security and Governmental Affairs: 
United States Senate: 

Dear Chairman Collins: 

Federal crop insurance is part of the overall safety net of programs 
for American farmers. It provides protection for participating farmers 
against the financial losses caused by droughts, floods, or other 
natural disasters. Farmers' participation is voluntary, but the federal 
government encourages it by subsidizing the insurance premiums. In 
2004, the crop insurance program provided $47 billion in insurance 
coverage for over 200 million acres of farmland at a cost of $3.6 
billion to the federal government, including an estimated $160 million 
resulting from fraud, waste, and abuse. 

The U.S. Department of Agriculture's (USDA) Risk Management Agency 
(RMA), which supervises Federal Crop Insurance Corporation (FCIC) 
operations, has overall responsibility for administering the crop 
insurance program. RMA oversees the development of new insurance 
products and the expansion of existing insurance products to new areas 
to help farmers reduce the chance of financial loss. RMA is also 
responsible for ensuring that the program is carried out efficiently 
and effectively and for protecting against fraud, waste, and abuse. In 
this regard, RMA uses a broad range of tools, including compliance 
reviews, data mining, and on-site field inspections. RMA administers 
the program in partnership with private insurance companies that share 
a percentage of the risk of loss or opportunity for gain associated 
with each insurance policy written. RMA acts as a reinsurer-- 
reinsurance is sometimes referred to as insurance for insurance 
companies--for a portion of all policies the federal crop insurance 
program covers. In addition, RMA pays companies a percentage of the 
premium on policies sold to cover the administrative costs of selling 
and servicing these policies. In turn, insurance companies use this 
money to pay commissions to their agents who sell the policies and fees 
to adjusters when claims are filed. 

Insurance companies are responsible for reporting to RMA on policy 
activity, such as applications for insurance, reports of acres planted, 
and notices of loss. Insurance companies, as part of their contractual 
agreement with RMA, also have an important role to play in ensuring 
that the policies they issue are administered fairly and accurately. 
For example, insurance companies must conduct quality assurance 
reviews, such as field inspections for policies with a claim equal to 
or greater than $100,000, to examine whether the claims they have paid 
are in compliance with policy provisions. RMA conducts a regular 
nationwide review of insurance companies' compliance with the crop 
insurance program's procedures to ensure that companies' quality 
assurance programs are in place. 

RMA receives policy information from the insurance companies through 
its computerized acceptance system. Using this system, RMA checks all 
policies for completeness and accuracy. In 2004, RMA provided crop 
insurance on 1.2 million policies and paid claims on 330,000 of these 
policies through 17 insurance companies. The Federal Crop Insurance 
Act, as amended, requires RMA to set crop insurance premiums at 
actuarially sufficient rates, defined as a long-run loss ratio target 
of no more than 1.075. A loss ratio is calculated as claims paid 
divided by total premiums collected. A loss ratio greater than 1.00 
indicates that the program paid more in claims than was collected in 
premiums. 

Generally, producers can purchase crop insurance to insure up to 85 
percent of their normal harvest (yield). This yield is calculated by 
looking at a producer's actual production history. To obtain insurance 
and receive claims payments, producers must comply with the crop 
insurance program's provisions. Specifically, they must accurately 
report to their insurance company the number of acres planted; meet 
deadlines specified in the policy (e.g., for planting and harvesting 
crops); pay premiums when due (generally at the end of the growing 
season); and report any crop losses immediately. Producers are also 
obligated to exercise good farming practices to minimize the potential 
for losses and to report their Social Security numbers and the Social 
Security numbers of all persons with an ownership interest of 10 
percent or more in the farming operation (e.g., a corporation) holding 
the policy. 

Over the years, concerns have arisen that some producers may have 
abused the crop insurance program by allowing crops to fail through 
neglect or deliberate actions in order to collect insurance and that 
some insurance companies have not exercised due diligence in 
investigating losses and paying claims.[Footnote 1] 

In part to improve compliance with, and the integrity of, the crop 
insurance program, Congress enacted the Agricultural Risk Protection 
Act of 2000 (known as ARPA). This act provided RMA and the USDA's Farm 
Service Agency (FSA) with new tools for monitoring and controlling 
program abuses. (FSA, which has an extensive field office structure, is 
generally responsible for helping producers enroll in agricultural 
support programs, overseeing these programs, and issuing program 
payments.) Specifically, ARPA required the Secretary of Agriculture to 
develop and implement a coordinated plan for FSA to assist RMA in the 
ongoing monitoring of the crop insurance program, including conducting 
fact-finding into allegations of program fraud, waste, or abuse; 
reporting the results of any such fact-finding to RMA; and assisting 
RMA and approved insurance companies in auditing a statistically 
appropriate number of claims made under any policy. Furthermore, ARPA 
required the Secretary of Agriculture to use information technologies, 
such as data mining and data warehousing, to administer and enforce the 
crop insurance program. Data mining is the analysis of data to 
establish relationships and identify patterns, while data warehousing 
is storing gathered data so that it can be easily analyzed, extracted, 
synthesized or otherwise used. RMA conducts data mining to target 
compliance reviews and investigations on suspect claims. Under USDA 
guidance, developed pursuant to a requirement in ARPA, RMA is to 
annually provide FSA and the insurance providers with a list of 
producers exhibiting high loss ratios, high frequency and severity of 
losses, or who are suspected of poor farming practices. RMA provides 
this list--called the spot-check list--every April to the appropriate 
FSA state offices for distribution to FSA county offices. The FSA 
county office is to conduct reviews on the larger of the first 10 
producers or the top 5 percent of the producers on the list. Staff in 
FSA county offices review these cases for potential fraud, waste, and 
abuse by inspecting fields insured by the listed producers. They then 
refer the results of these inspections to RMA, which provides the 
results to the insurance companies holding the policies for the 
producers for further review or investigation, if appropriate. Finally, 
ARPA gave RMA additional authority to impose sanctions for program 
abuses. 

In addition, under the Improper Payments Information Act of 2002, RMA 
has to provide an estimate of error rates associated with program 
payments and report on action to reduce improper payments.[Footnote 2] 
RMA estimates improper payments to be about 5 percent of the claims 
paid annually. RMA acknowledges that this estimate is not based on a 
tested methodology and revised its sampling methodology, beginning in 
2004, to provide a more accurate estimate. The Office of Management and 
Budget (OMB) has accepted RMA's proposed sampling methodology, which is 
to include a 3-year review cycle of insurance companies, to determine 
the federal crop insurance program's error rate, and satisfy the 
statutory requirements of the Improper Payments Information Act. RMA's 
3-year review cycle will assess insurance companies' adherence to their 
contract with RMA, quality control guidelines, and RMA-approved 
policies and procedures. 

You asked us to examine RMA's procedures for assuring integrity in the 
crop insurance program. As agreed with your office, we (1) assessed the 
effectiveness of USDA's procedures and processes to prevent and detect 
fraud, waste, and abuse in selling and servicing crop insurance 
policies; (2) determined the extent to which program design issues may 
make the program more vulnerable to fraud, waste, and abuse; and (3) 
determined the effectiveness of USDA's procedures to assure program 
integrity in developing new crop insurance products. Also, as you 
requested, we provided examples of recent crop insurance fraud 
prosecutions to show the types of actions that producers, agents, and 
loss adjusters have used to circumvent RMA's procedures. 

To address these issues, we reviewed relevant statutory provisions and 
RMA's regulations and guidelines for managing the crop insurance 
program and spoke with RMA and FSA officials in headquarters and field 
offices. We also reviewed relevant reports, including RMA's most recent 
annual report to Congress in 2002. To assess the effectiveness of 
USDA's procedures and processes to prevent and detect fraud, waste, and 
abuse in selling and servicing crop insurance policies, we examined a 
nonrandom sample of 120 insurance claims from the 2,794 claims that RMA 
identified as having notable policy irregularities and warranting a 
field inspection in both 2003 and 2004. Of these 120 claims, 100 were 
the largest claims paid, and 20 were selected to ensure that all data 
mining selection criteria were represented, including producers who 
frequently receive payments because they claim that adverse weather 
conditions prevented them from planting their crop, as well as policy 
irregularities that suggested collusion among agents, adjusters, and 
producers. 

We also conducted two surveys. In the first, we surveyed all 829 FSA 
county officials responsible for conducting field inspections in 2003 
to assess the effectiveness of USDA's procedures and processes to 
prevent and detect fraud, waste, and abuse in selling and servicing 
crop insurance policies. In the second, we surveyed a stratified, 
random sample of 935 of the approximately 13,000 crop insurance sales 
agents to solicit their views on control weaknesses and suggestions for 
improving oversight of the crop insurance program. This sample 
methodology allows us to project the survey results to all crop 
insurance agents. We received responses from 92 percent of the 829 FSA 
officials in the first survey and 76 percent of the 935 insurance 
agents in the second survey. To determine the extent to which program 
design issues may contribute to fraud, waste, and abuse in the crop 
insurance program, we conducted a qualitative assessment of economic 
studies. We also discussed these issues with USDA officials in 
headquarters and field offices. To determine the effectiveness of RMA's 
procedures for assuring program integrity in developing and expanding 
crop insurance products, we evaluated the agency's policies, 
procedures, and other pertinent documents to identify the controls in 
place to assure program integrity. We selected a nonrandom sample of 16 
developmental and expansion programs between 1998 and 2002 to determine 
whether they complied with RMA's policies and procedures; the sample 
included policies with low and high claims experience to determine if 
loss experience was affected by compliance with procedures. 

To show the types of actions that producers, agents, and loss adjusters 
have used to circumvent RMA's procedures, our Office of Forensic Audits 
and Special Investigations (FSI) reviewed eight cases of crop insurance 
fraud prosecuted between June 2003 and April 2005. To research these 
cases, it reviewed USDA's Inspector General's case files, spoke with 
representatives from the U.S. Department of Justice, and reviewed 
relevant reports, court papers, and other documentation. FSI conducted 
its investigation from February through June 2005 in accordance with 
quality standards for investigations as set forth by the President's 
Council on Integrity and Efficiency. 

We conducted our review from July 2004 through August 2005, according 
to generally accepted government auditing standards, which included an 
assessment of data reliability and internal controls. Appendix I 
contains more detailed information on our scope and methodology. 

Results in Brief: 

Employing a broad range of processes to prevent and detect fraud, 
waste, and abuse in the crop insurance program, RMA has reported that 
questionable claims payments fell more than $300 million over the past 
4 years. However, our review showed that RMA is not effectively using 
all of the tools it has available and that producers and others 
continue to take advantage of the program. In addition, program design 
issues, including insuring individual fields, risk-sharing provisions, 
and prevented planting can impede RMA's effort to ensure program 
integrity. Specifically: 

* Inspections during the growing season are not being used to maximum 
effect. Although FSA is assisting RMA, as required under ARPA, by 
conducting field inspections, FSA is not doing so in accordance with 
USDA guidance. Between 2001 and 2004, producers filed claims on about 
380,000 policies annually, and RMA's data mining identified about 1 
percent of these claims as questionable and needing FSA inspection. 
Under USDA guidance, FSA should have conducted all of the requested 
inspections. However, FSA conducted only 64 percent of the inspections 
RMA requested; FSA inspectors said that they did not conduct all 
requested inspections primarily because they did not have sufficient 
time. Between 2001 and 2004, FSA offices in nine states did not conduct 
any of the field inspections RMA requested in one or more of the years. 
Until we brought this matter to their attention in September 2004, FSA 
headquarters officials were unaware that FSA offices in these nine 
states had not conducted field inspections for one or more of the 
years. FSA may not be as effective as possible in conducting field 
inspections because RMA does not provide FSA with information on the 
nature of the suspected abusive behavior or the results of follow-up 
investigations. About 80 percent of the FSA inspectors we surveyed 
believe that receiving more information from RMA would help them be 
more effective in detecting fraud, waste, and abuse. In addition, FSA 
state officials told us that inspectors are reluctant to conduct field 
inspections because they believe RMA and insurance companies do not use 
the information to deny claims for producers who do not employ good 
farming practices. Finally, these inspections do not always occur in a 
timely fashion, which would help detect abuse during the growing 
season. Because of these problems, the insurance companies and RMA 
cannot always determine the validity of a claim. 

* RMA's data analysis of the largest farming operations is incomplete. 
As required by ARPA, RMA is using data mining to administer and enforce 
the crop insurance program and to analyze patterns that suggest 
fraudulent activity, such as unusually high or frequent claims. 
However, RMA's analysis excludes comparisons of the largest farming 
operations--including those organized as partnerships and joint 
ventures. RMA cannot make these comparisons because producers do not 
always report the individuals or entities having a beneficial interest 
of 10 percent or more in the farming operation holding the policy, as 
required. RMA's database does not identify a producer's ownership 
interest in other farming operations, and it has not been given access 
to similar data that FSA maintains. According to our review of FSA's 
database for 2003, 21,310 entities, or 31 percent of the entities we 
analyzed, did not report to RMA one or more individuals or entities who 
had a beneficial interest in their farming operation, as RMA 
regulations require. RMA should be able to recover up to $74 million in 
claims paid to these 21,310 entities--the amount of claims paid in 
proportion to the interest of the member who was not reported. 
Additionally, through data mining, we identified 115 of these 21,310 
entities with questionable insurance claims totaling $9.2 million. 
Finally, we identified nine farming entities that had one or more 
owners who had previously been ruled ineligible to participate in the 
federal crop insurance program because, for example, they had not paid 
their insurance premium. We have referred this information to RMA for 
further investigation. As our analysis indicates, without access to 
FSA's database, RMA is missing opportunities to compare claims 
experience among these large operations and to identify potentially 
fraudulent behavior. 

* RMA is not effectively overseeing insurance companies' quality 
assurance programs. Eighty of the 120 insurance claim files we reviewed 
should have received a quality assurance review because, for example, 
they claimed more than $100,000 in crop losses. However, we found the 
insurance companies conducted reviews on only 59 of these claims. 
Furthermore, the reviews were largely paper exercises, such as 
computational verifications, rather than comprehensive claim analysis. 
RMA did not ensure that companies conducted all reviews called for 
under its guidance and did not examine the quality of the companies' 
reviews. RMA officials acknowledged that their agency's guidance for 
conducting quality assurance reviews needs revision to improve the 
compliance program. They noted RMA is working with a contractor to 
revise its guidance. 

* RMA has infrequently used its new sanction authority to address 
program abuses. RMA has not fully used its new authority under ARPA to 
sanction producers, insurance agents, and claims adjusters who 
willingly and intentionally provide false or inaccurate information or 
fail to comply with other FCIC program requirements. RMA has identified 
about 3,000 producers with suspicious claim payments--notable policy 
irregularities compared with other producers growing the same crop in 
the same county--each year since the enactment of ARPA. While not all 
of these policy irregularities were necessarily sanctionable, RMA has 
imposed only 114 sanctions from 2001 through 2004. RMA's referrals to 
USDA's Inspector General declined from a high of 37 in 2000 to 14 in 
2004. According to RMA officials, RMA has requested and imposed few 
sanctions because it has not issued regulations to implement its 
expanded authority under ARPA. Without regulations, RMA has not 
established what constitutes an "FCIC requirement" and how it will 
determine that a violation has occurred or what procedural process it 
will follow before imposing sanctions. Insurance agents we surveyed and 
company officials we contacted believe that RMA needs to more 
aggressively seek to penalize those producers, agents, and adjusters 
who abuse the program. RMA officials told us that they will give 
priority to issuing regulations implementing the sanctions authorized 
under ARPA. 

We also found that RMA's insurance information system contains 
inaccurate data and does not always identify inaccurate claims payments 
and that RMA did not always account for changes in farming practices in 
a timely manner. 

While RMA can improve its day-to-day oversight of the federal crop 
insurance program in a number of ways, the program's design, as laid 
out in RMA's regulations or as required by statute, hinders RMA 
officials' efforts to administer certain program provisions to prevent 
fraud, waste, and abuse. Specifically: 

* RMA's regulations allow producers the option of insuring their fields 
individually rather than combined as one unit. Producers may want to 
insure fields separately out of concern that they would experience 
losses in a certain field because of localized weather conditions, such 
as hail or flooding. Insuring fields separately provides greater 
assurance that such losses will be covered. However, insuring fields 
separately enables producers to "switch" production among fields-- 
reporting production of a crop from one field that was actually 
produced on another field--either to make false insurance claims based 
on low production or to build up a higher yield history on a particular 
field in order to increase its eligibility for higher future insurance 
guarantees. Of the 2,371 producers included on RMA's list of producers 
with irregular claims in 2003, 12 percent were suspected of switching 
production among their fields. 

* To induce insurance companies to deliver crop insurance to all 
eligible producers, RMA's regulations allow the companies to place 
producers with frequent or high claims in an insurance fund that shifts 
almost all of the risk associated with these claims to the federal 
government. Accordingly, the companies have less incentive to 
rigorously challenge questionable claims. 

* RMA is statutorily required to offer producers "prevented planting" 
coverage. With this coverage, producers can file claims if they are 
unable to plant the crop because of an insured cause of loss, such as 
too much rain causing wet fields. However, as RMA and company officials 
told us, it is often difficult to determine whether the producer had 
the opportunity to plant a crop, hampering their ability to hold down 
fraudulent claims. 

* The statutorily established premium subsidies can be as high as 67 
percent and, therefore, may also inhibit RMA's ability to control 
program abuse. High premium subsidies shield producers from the full 
effect of paying higher premiums associated with frequent or larger 
claims because the subsidies significantly reduce producers' premiums. 
Over one-half of the crop insurance agents responding to our survey 
believed that crop insurance should cost more for producers with a 
pattern of claims that are higher or more frequent in comparison with 
other producers for the same crop in the same location to discourage 
fraud, waste, and abuse in the program. 

Eight recent crop insurance fraud cases, investigated by USDA's Office 
of Inspector General (OIG) and resulting in criminal prosecutions 
between June 2003 and April 2005, reflect issues we identified. These 
eight cases, totaling $3.1 million in insurance claims, show how 
producers, sometimes in collusion with insurance agents and others, 
falsely claim prevented planting, weather damage, and low production. 
Some of the cases show producers hiding or moving production from one 
field to another. Several of these cases also demonstrate the 
importance of having FSA and RMA work together to identify and share 
information on questionable farming practices/activities. 

When developing and expanding new crop insurance products, RMA did not 
always follow its guidelines, which, according to USDA, were designed, 
among other things, to minimize exposure to loss. As a result, claims 
and loss ratios have been substantially higher for some new crop 
products. For example, for the fall-planted watermelon program launched 
in southern Texas, RMA approved the product without completing all data 
collection and reviews of data called for under its guidelines. RMA 
paid more than $20 million for fall-planted watermelon claims in 1999. 
RMA cited a shortage of experienced staff as a major factor 
contributing to its failure to follow its guidelines. In addition, we 
found that RMA did not always annually evaluate these new products, as 
laid out in its guidelines. In most cases, this lack of oversight did 
not appear to result in significantly greater losses. However, in the 
sweet potato program, a timely evaluation of the loss experience might 
have averted the payment of several million dollars in claims. 
According to RMA officials, they do not typically conduct annual 
reviews, as the guidelines state they are to do, because they believe 
they need several years of loss experience to adequately evaluate a new 
product. 

To better protect the crop insurance program from fraud, waste, and 
abuse, Congress should consider allowing RMA to reduce premium 
subsidies for producers who consistently have claims that are irregular 
in comparison with other producers growing the same crop in the same 
location. We are also making a number of recommendations to the 
Secretary of Agriculture to improve RMA's and FSA's implementation of 
ARPA and oversight of the crop insurance program. Among other things, 
we are recommending that the Secretary of Agriculture direct the 
Administrators of RMA and FSA to develop an action plan to improve the 
effectiveness of the inspections conducted during the growing season. 
We are also recommending that the Secretary of Agriculture direct FSA 
to share producer-derived information with RMA to administer and 
enforce requirements of the crop insurance program. Lastly, we are 
recommending that the Secretary of Agriculture promulgate regulations 
implementing the expanded authority under ARPA to impose sanctions and 
direct RMA to eliminate optional unit coverage for producers who use 
this coverage to frequently file questionable claims and receive 
payments. 

We provided a draft of this report to USDA for its review and comment. 
USDA agreed to act on most of our recommendations, but it disagreed 
with two of them. For example, USDA agreed to take steps to improve the 
effectiveness of its growing season inspections and to strengthen 
oversight of crop insurance providers' implementation of quality 
control reviews. It also agreed that promulgating regulations to 
implement the expanded authority under ARPA to impose sanctions would 
enhance RMA's sanctions efforts, although it did not believe that the 
lack of regulations has precluded it from using ARPA's authority to 
impose sanctions. USDA disagreed with our recommendation that FSA field 
offices conduct all inspections called for under agency guidance 
because it believes FSA does not have sufficient resources to complete 
all of these inspections. USDA may want to study the costs and benefits 
of conducting these inspections. USDA also disagreed with our 
recommendation to eliminate optional unit coverage for producers who 
received payments for questionable claims because, among other things, 
it did not believe eliminating such coverage would be prudent or cost- 
effective. However, we continue to believe that it is reasonable for 
USDA to use all tools at its disposal and that our recommendations will 
reduce the federal crop insurance program's vulnerability to fraud and 
abuse. Our detailed response to USDA's comments appears at the end of 
this letter and following USDA's written comments in appendix VII. 

Background: 

Farming is an inherently risky enterprise. In conducting their 
operations, producers are exposed to both production and price risks. 
Crop insurance is one method producers can use to protect themselves 
against these risks. Over the years, the federal government has played 
an active role in helping to mitigate the effects of these risks on 
farm income by promoting the use of crop insurance. Appendix II 
contains information on the crop insurance program from 1981 to 2004. 

Under the program, participating producers are assigned (1) a "normal" 
crop yield based on their actual production history and (2) a price for 
their commodity based on estimated market conditions. Producers can 
then select a percentage of their normal yield to be insured and a 
percentage of the price they wish to receive when crop losses exceed 
the selected loss threshold. The following example illustrates how a 
claim payment is determined. A producer whose normal crop production 
averages 100 bushels of corn per acre and who chooses to buy insurance 
at the 75 percent coverage level will be guaranteed 75 percent of 100 
bushels, or 75 bushels per acre. Assuming that the producer had chosen 
the maximum price coverage and that RMA had estimated the market price 
for corn at $2 per bushel, the producer would have total coverage of 
$150 per acre. Should something like drought cut the producer's actual 
harvest to 25 bushels, the producer will be paid for the loss of 50 
bushels per acre--the difference between the insured production level 
of 75 bushels and the actual production of 25 bushels. The insurance 
would pay the producer's claim at $2 x 50 bushels, or $100. 

In addition, under the crop insurance program's "prevented planting" 
provision, insurance companies pay producers who were unable to plant 
the insured crop because of an insured cause of loss that is general in 
their surrounding area, such as weather conditions causing wet fields, 
and that prevents other producers from planting acreages with similar 
characteristics. These producers are entitled to claim payments that 
generally range from 50 to 70 percent of the coverage they purchased, 
depending on the crop. 

Critical to the success of the crop insurance program is aligning the 
premium rates with the risk each producer represents. The risk 
associated with growing a particular crop varies from location to 
location, from farm to farm, and from producer to producer. If the 
rates are too high for the risk represented, producers are less likely 
to purchase insurance, lowering the program's income from premiums. 
Conversely, if the rates are too low, producers are more likely to 
purchase crop insurance, but because the rates are too low, the income 
from premiums will be insufficient to cover the claims. Economists 
refer to this situation as adverse selection. 

To align crop insurance premium rates with the risk represented, RMA 
establishes rates that vary by crop, location (county), farm, and 
producer. RMA's objective is to set the rates that each producer pays 
according to the risk associated with the producer's location, crop, 
and past production. For the major field crops, RMA begins its premium 
rate-setting process by looking at past crop insurance experience for 
each county and state. On the basis of that historical experience, RMA 
sets a premium rate for each crop in each county at the 65 percent 
coverage level for average production. Using this premium rate, RMA 
makes adjustments to establish rates for other coverage levels. RMA 
also adjusts premium rates to assume producers will insure individual 
fields, called "optional units," rather than all fields combined, 
called "basic units."[Footnote 3] RMA uses an algorithm to make 
adjustments to establish premium rates for producers whose production 
levels are higher or lower than the county's average. According to RMA, 
this latter adjustment is based on the assumption that producers with 
higher-than-average production levels are less likely to experience 
losses. Finally, to encourage participation in the crop insurance 
program, the federal government subsidizes the premiums. 

Moreover, for producers that do not have a sufficient number of years-
-at least 4--of actual production history records, RMA uses the 
historical average county yield (called a transitional yield), adjusted 
by a factor based on the number of years for which the producers have 
provided records. Producers may also substitute the transitional yield 
for actual yields in disaster years. In general, RMA sets a floor under 
a producer's annual yield so that a yield in any year cannot fall below 
60 percent of the transitional yield for that crop. 

RMA establishes the terms and conditions that the private insurance 
companies selling and servicing crop insurance policies are to use 
through a contract called the standard reinsurance agreement (SRA). The 
SRA is a cooperative financial assistance agreement between RMA, 
through the FCIC, and the private crop insurance companies to deliver 
federal crop insurance under the authority of the Federal Crop 
Insurance Act. The SRA establishes the minimum training, quality 
control review procedures, and performance standards required of all 
insurance providers in delivering any policy insured or reinsured under 
the Federal Crop Insurance Act, as amended. For example, under the SRA, 
companies must provide training to their sales agents that includes 
information on how to recognize common indicators of misrepresentation 
or abuse, review anomalies identified by FCIC that suggest an unusual 
claims pattern, and report all cases of suspected misrepresentation, 
fraud, waste, or abuse. 

To distinguish among different levels of risk, the SRA establishes 
three reinsurance funds with commensurate requirements for the amount 
of risk companies can cede back to FCIC: assigned risk, developmental, 
and commercial. FCIC created the assigned risk fund for the riskiest 
policies. Under the SRA, insurance companies may include individual 
policies in this fund up to limits established for each state. 
Beginning in 2005, the maximum amount of premium and associated 
liability for claims payments that can be allocated to the assigned 
risk fund varies from 25 percent in some states (e.g., Illinois, 
Indiana, and Iowa) to 75 percent in others (e.g., Mississippi, North 
Dakota, and Texas). Companies must retain 15 to 25 percent of the 
policies' premiums and associated liability for claims payments for 
policies in this fund, depending on the state. 

RMA is responsible for ensuring that the federal crop insurance program 
is carried out efficiently and effectively and for protecting against 
fraud, waste, and abuse in the program. In this regard, RMA uses a 
broad range of tools, including compliance reviews, company quality 
assurance reviews, data mining, and FSA field inspections. RMA has a 
compliance staff of 78 employees in six field locations to review 
company quality assurance activities and investigate anomalous claims 
payments. For their part, insurance companies must conduct quality 
assurance reviews, such as program or field reviews, for policies with 
a claim RMA has identified as anomalous and policies with a claim equal 
to or greater than $100,000; these reviews are to determine whether the 
claims they have paid are in compliance with policy provisions. 

In 2004, RMA initiated a new operational review program that provides 
for extensive review of each insurance provider's operation every 3 
years. RMA's 3-year review cycle will assess insurance providers' 
adherence to their contract with RMA, quality control guidelines, and 
RMA-approved policies and procedures. This review will differ from 
prior reviews in that RMA will direct the companies to investigate 
policies that RMA has identified as having anomalous claims and require 
RMA to assess a statistical sample of additional policies. In the past, 
the insurance companies reviewed a statistical sample of claims and 
policies, and RMA examined the results of the companies' reviews. 

To strengthen oversight at the local level, RMA conducts data mining 
and uses past loss experience to develop a sample of producers with 
notable policy irregularities, such as unusually high or frequent 
losses. Staff in FSA county offices review these cases for potential 
fraud, waste, and abuse by inspecting the fields of the producers on 
the list. Figure 1 shows the location of producers RMA identified for 
field inspections in 2003. 

Figure 1: Location of Producers Identified by RMA for Field 
Inspections, 2003: 

[See PDF for image] 

[End of figure] 

Congress enacted ARPA, amending the Federal Crop Insurance Act, in 
part, to improve compliance with, and the integrity of, the crop 
insurance program. ARPA expanded RMA's authority to impose sanctions in 
two ways. First, it provided RMA authority to impose sanctions against 
producers, agents, loss adjusters, and insurance companies that 
willfully and intentionally provide false or inaccurate information to 
FCIC or to an approved insurance provider. (Previously, RMA had 
authority to impose sanctions only on individuals who willfully and 
intentionally provided false information.) Second, ARPA provided 
authority to impose sanctions against producers, agents, loss 
adjusters, and insurance companies for willfully and intentionally 
failing to comply with any other FCIC requirement. RMA has the 
authority to disqualify producers who have committed a violation not 
only from the insurance program but also from most other farm programs 
for up to 5 years. RMA can also impose a civil fine for each violation, 
up to the financial gain the individual obtained as a result of the 
false or inaccurate information provided or of the noncompliance, or 
$10,000, whichever is greater. Working with RMA's regional compliance 
offices, RMA's sanctions office processes requests for sanctions from 
the field offices and forwards the findings and recommendations to 
RMA's appeals and litigation office. Following this office's review, 
USDA's Office of General Counsel provides a legal opinion on the 
sanction request. After consulting with the Office of General Counsel, 
if the Administrator of RMA considers the case valid, RMA files a 
complaint with USDA's Administrative Law Office. At the defendant's 
request, the Administrative Law Office will hold a hearing, after which 
the administrative law judge will render a decision. 

ARPA also increased the percentage share of the premium the government 
pays for most coverage levels of crop insurance, beginning with the 
2001 crop year. Although the percentage of the premium the government 
pays declines as producers select higher levels of coverage, the 
government contribution significantly increases for all levels of 
coverage, particularly for the highest levels of coverage. For example, 
as shown in table 1, the share of the premium paid by the government 
rose from 42 to 59 percent of the premium for 65 percent 
coverage.[Footnote 4] 

Table 1: Premium Subsidies Before and After ARPA: 

Percentage of coverage selected by producer: 50; 
Percentage of premium paid by the government: Before ARPA[A]: 55; 
Percentage of premium paid by the government: After ARPA: 67. 

Percentage of coverage selected by producer: 55; 
Percentage of premium paid by the government: Before ARPA[A]: 46; 
Percentage of premium paid by the government: After ARPA: 64. 

Percentage of coverage selected by producer: 60; 
Percentage of premium paid by the government: Before ARPA[A]: 38; 
Percentage of premium paid by the government: After ARPA: 64. 

Percentage of coverage selected by producer: 65; 
Percentage of premium paid by the government: Before ARPA[A]: 42; 
Percentage of premium paid by the government: After ARPA: 59. 

Percentage of coverage selected by producer: 70; 
Percentage of premium paid by the government: Before ARPA[A]: 32; 
Percentage of premium paid by the government: After ARPA: 59. 

Percentage of coverage selected by producer: 75; 
Percentage of premium paid by the government: Before ARPA[A]: 24; 
Percentage of premium paid by the government: After ARPA: 55. 

Percentage of coverage selected by producer: 80; 
Percentage of premium paid by the government: Before ARPA[A]: 17; 
Percentage of premium paid by the government: After ARPA: 48. 

Percentage of coverage selected by producer: 85; 
Percentage of premium paid by the government: Before ARPA[A]: 13; 
Percentage of premium paid by the government: After ARPA: 38. 

Source: RMA. 

[A] For crop years 1999 and 2000, the actual premium subsidy was higher 
than shown. Under emergency supplemental acts, producers received an 
additional 30 percent discount in 1999 and 25 percent discount in 2000. 

[End of table] 

RMA Has Strengthened Procedures for Preventing Questionable Claims, but 
the Program Remains Vulnerable to Abuse: 

Since ARPA, RMA has taken a number of steps to improve its procedures 
and processes to prevent and detect fraud, waste, and abuse in selling 
and servicing crop insurance policies. Most notably, RMA reports that 
data mining analyses and subsequent communication to producers resulted 
in a decline of at least $300 million in questionable claims payments 
from 2001 to 2004. However, we found that RMA is not effectively using 
all of the tools it has available and that producers and others can 
continue to take advantage of the program. We identified weaknesses in 
four key areas: (1) field inspections, (2) analysis that excludes many 
large farming operations when producers do not report their interest in 
them, (3) quality assurance reviews, and (4) imposition of sanctions. 
Weaknesses in these areas continue to leave the program vulnerable to 
questionable claims, and insurance companies and RMA cannot always 
determine the validity of a claim to minimize fraud, waste, and abuse. 
We also found that RMA's insurance information system does not always 
identify policies that fail to comply with policy provisions and that 
RMA's implementation approach may not always respond to unanticipated 
vulnerabilities in a timely manner. 

Data Mining and Other Actions Have Improved RMA's Ability to Manage the 
Crop Insurance Program: 

Each year, RMA develops a list of producers whose operations warrant an 
on-site inspection (the spot-check list) during the growing season 
because data mining uncovered patterns in their claims that are 
consistent with the potential for fraud and abuse. For example, the 
list includes: 

* producers, agents, and adjusters linked in irregular behavior that 
suggests collusion; 

* producers who for several consecutive years received most of their 
crop insurance payments from prevented planting indemnity payments; 

* producers who appear to have claimed the production amounts for 
multiple fields as only one field's yield, thereby creating an 
artificial loss on their other field(s); and: 

* producers who, in comparison with their peers, have excessive 
harvested losses over many years. 

Since RMA began using data mining in 2001, it has identified about 
3,000 producers annually who warrant an on-site inspection because of 
anomalous claims patterns. In addition, RMA annually performs about 100 
special analyses to identify areas of potential vulnerability and 
trends in the program. 

RMA provides the list of producers from its spot-check list to the 
appropriate FSA state offices for distribution to FSA county offices, 
as well as to the insurance company selling the policy to the producer. 
Staff in FSA county offices advise the selected producers that they 
have been identified for an inspection as a result of data mining and 
conduct field inspections during the growing season. In conducting 
these inspections, inspectors are to determine the tillage method used; 
weed control practices; type and amount of fertilizer applied; weather 
conditions; and how the inspected crop compares with others in the 
area. As a result of these inspections and other information, RMA 
reported total cost savings of $312 million, primarily in the form of 
estimated payments avoided: $48 million in 2001, $112 million in 2002, 
$81 million in 2003, and $71 million in 2004. For example, according to 
RMA, claims payments to producers identified for an inspection 
decreased nationwide from $234 million in 2001 to $122 million in 2002. 
According to RMA, some of the producers on the list bought less 
insurance and a few dropped crop insurance entirely, but most simply 
changed their behavior regarding loss claims. 

Field Inspections Specified in RMA's Coordination Plan Are Not Being 
Used to Maximum Effect: 

ARPA required USDA to have a plan for FSA to assist RMA and approved 
insurance providers in auditing a statistically appropriate number of 
crop insurance claims. Under USDA guidance, developed pursuant to this 
requirement, RMA is to annually provide a list of producers who exhibit 
high loss ratios and high frequency and severity of losses or who are 
suspected of poor farming practices. Upon receipt of this list, the FSA 
county office is to review the first 10 producers or the top 5 percent 
of the producers on the list, whichever is larger. If less than 10 
producers are on the list, then FSA is to check all of them.[Footnote 
5] All the lists that RMA has provided to FSA county offices include 10 
or fewer producers, but FSA is not conducting field inspections for all 
producers on the list. Between 2001 and 2004, producers filed about 
380,000 claims annually. RMA's data mining identified about 1 percent 
of these claims as questionable and needing inspection. 

Overall, FSA conducted only 64 percent of the inspections RMA requested 
from 2001 to 2004. Specifically, FSA submitted inspection reports for 
only 70 percent of the inspections RMA requested in 2001 (1,737 
requested), 49 percent in 2002 (3,303 requested), 67 percent in 2003 
(3,094 requested), and 73 percent in 2004 (3,832 requested). During 
this period, FSA offices in nine states failed to conduct any of the 
field inspections RMA had requested in one or more of the years. Until 
we brought this matter to their attention in September 2004, FSA 
headquarters officials were unaware that these nine states had not 
conducted field inspections for one or more of the years. According to 
FSA officials in five states we contacted, county directors are 
reluctant to conduct field inspections because they believe RMA and 
insurance companies do not use the information to deny claims for 
producers who do not employ good farming practices. As such, they 
believe it does not make sense for them to spend time conducting these 
reviews. However, by not conducting all requested inspections, FSA is 
missing opportunities to identify producers who file unwarranted 
claims. 

For their part, FSA inspectors believe they would be more effective in 
determining fraud, waste, and abuse if they received information from 
RMA on the claims patterns RMA's data mining has identified as 
questionable. For example, of the 3,832 claims RMA identified for field 
inspections in 2004, approximately two-thirds were selected for 
anomalous claims patterns associated with fraud, such as switching 
information on production yields from one insured field to another. 
About 80 percent of the FSA inspectors we surveyed believed that 
receiving more information from RMA would help them be more effective 
in detecting fraud, waste, and abuse when they conduct field 
inspections. (See app. III for a summary of the results of our survey 
of FSA inspectors.) Additionally, several FSA inspectors surveyed 
provided written comments regarding the need for feedback. As one 
respondent noted, there is little incentive to document field 
inspection findings because FSA rarely learns what, if any, action was 
taken. Another respondent commented that he would like feedback from 
RMA on how useful the inspections have been. He would like to avoid 
spending time on inspections that may not be useful to RMA. RMA 
headquarters officials acknowledged that providing feedback to FSA 
inspectors might help improve the quality of the field inspections. 
Similarly, company officials told us that information from RMA's data 
mining would help claims adjusters pay particular attention to 
determining the total production for the producer's farming operation 
and differences between fields with and without losses. 

Although FSA inspectors cited a lack of communication with RMA on 
specific cases and findings as a major impediment to completing 
inspections, they also identified other reasons. As figure 2 shows, the 
most commonly cited reason was "not having enough time." 

Figure 2: FSA Inspectors' Primary Reasons for Not Conducting Field 
Inspections of Producers with Notable Policy Irregularities: 

[See PDF for image] 

[End of figure] 

We discussed the reported lack of time with FSA headquarters officials, 
who advised us that field offices' broad range of responsibilities 
provide limited time for field inspections in support of RMA. They said 
our survey results taken as a whole underscore the importance of 
effective communication and information sharing between RMA and FSA to 
maximize the effectiveness of field inspectors' work. 

FSA's field inspections also do not always occur in a timely manner 
and, therefore, FSA inspectors may miss opportunities to detect abuse 
during the growing season. RMA generally provides its spot-check list 
to FSA in April, at the start of the growing season. USDA guidance 
directs FSA staff to perform at least two field inspections--one within 
30 days of the final planting date and one before harvest--on a minimum 
of one representative tract. FSA selects a representative tract for 
each crop listed by RMA on the spot-check list.[Footnote 6] However, 
about 17 percent of FSA inspectors reported that they received RMA's 
request for a field inspection more than 30 days after the final 
planting date. In some cases, inspection requests came in as much as 6 
months later. 

Additionally, insurance companies may receive the results of some field 
inspections too late to determine the validity of the claim. After FSA 
county offices conduct the field inspections, they report the findings 
to RMA, which then provides the results to the insurance companies 
holding the policies for the producers. According to company officials, 
they are unable to use the results of some field inspections because 
the information is received months after the claim was paid. For 
example, in one claim file we reviewed, on November 24, 2003, RMA 
referred to an insurance company a soybean producer in Ohio who had 
received claims payments in each of the past 5 years and was suspected 
of underreporting his production in 2003. FSA's field inspection, 
conducted in September just prior to harvest, found the crop to be 
"above average to average" for the county and did not identify any 
concerns regarding the crop's expected yield. To determine whether the 
producer underreported production, the insurance company needed to 
conduct a preharvest appraisal of the producer's fields. While the 
insurance company conducted a quality assurance review of the claim, it 
received RMA's reports after the producer harvested the soybeans--too 
late to conduct preharvest appraisals to validate production.[Footnote 
7] 

FSA may also be missing opportunities to provide RMA with critical 
information to assess a claim's validity. In reviewing claims, we found 
that FSA frequently inspects only one tract, but that tract was not 
always the tract on which a claim was filed. In written comments on our 
survey, several FSA inspectors reported that they believe conducting a 
growing season inspection on more than one tract is necessary to ensure 
the monitoring program is effective. However, these inspectors also 
noted that conducting inspections on more than one tract of land would 
place additional demands on their time. 

RMA's Analysis to Detect Potential Program Fraud and Abuse for Many 
Large Farming Operations Is Incomplete: 

RMA's data mining excludes many large farming operations because 
producers fail to report other individuals' and entities' interests in 
these operations. However, these entities, such as partnerships and 
corporations, may include individuals who are also members of one or 
more other entities. Because it does not know the ownership interests 
in these farming operations, RMA cannot readily identify potential 
fraud. For example, producers who are members of more than one farming 
operation may have the opportunity to move production from one 
operation to another to file unwarranted claims, without RMA's 
knowledge that these producers participate in more than one farming 
operation. 

These farming operations do not always report other individuals or 
entities who hold or acquire a beneficial interest of 10 percent or 
more in the insured operation, as required by RMA regulations. RMA was 
unaware that these entities had failed to fully disclose ownership 
interest because it has not been given access to the FSA data file 
identifying a producer's ownership interest in other farming 
operations. However, ARPA requires the Secretary of Agriculture to 
develop and implement a coordinated plan for RMA and FSA to reconcile 
all relevant information received by either agency from a producer who 
obtains crop insurance coverage. The Secretary of Agriculture also must 
require RMA and FSA to reconcile this producer-derived information on 
at least an annual basis, starting with the 2001 crop year, to identify 
and address any discrepancies. We were able to obtain the FSA data file 
and determine whether (1) farming operations report all members who 
have a substantial beneficial interest in the operation, (2) these 
farming operations file questionable crop insurance claims, and (3) 
agents or claims adjusters had financial interests in the 
claim.[Footnote 8] As shown in table 2, of the 69,184 entities that had 
crop insurance policies in 2003 and that were in both RMA's and FSA's 
databases, 21,310, or 30.8 percent, did not report one or more members 
who held a beneficial interest of 10 percent or more in the farming 
operation holding the policy. 

Table 2: Crop Insurance Policyholders Failing to Disclose Ownership 
Interest, by Entity Type, Crop Year 2003: 

Entity type of policyholder: Corporation; 
Number of entities analyzed[A]: 38,463; 
Number of entities failing to disclose ownership interest[B]: 12,130; 
Percentage: 31.5%. 

Entity type of policyholder: General partnership; 
Number of entities analyzed[A]: 24,780; 
Number of entities failing to disclose ownership interest[B]: 7,486; 
Percentage: 30.2%. 

Entity type of policyholder: Limited partnership; 
Number of entities analyzed[A]: 4,401; 
Number of entities failing to disclose ownership interest[B]: 1,479; 
Percentage: 33.6%. 

Entity type of policyholder: Sole proprietorship[C]; 
Number of entities analyzed[A]: 1,540; 
Number of entities failing to disclose ownership interest[B]: 215; 
Percentage: 14.0%. 

Total; 
Number of entities analyzed[A]: 69,184; 
Number of entities failing to disclose ownership interest[B]: 
21,310[D]; 
Percentage: 30.8%. 

Sources: GAO analysis of RMA and FSA data. 

[A] We excluded trusts and joint ventures from the analysis because RMA 
and FSA use conflicting definitions. We then identified 69,184 entities 
in both the FSA and RMA files. FSA's database for ownership in entities 
contained 345,421 entities for 2003, and the RMA database contained 
112,467 entities that could have one or more members holding a 
beneficial interest of 10 percent or more. 

[B] Entities and members in the RMA database were compared against the 
FSA database. If the entity or any member that held a beneficial 
interest of 10 percent or more as reported in the FSA database did not 
match the RMA database, the policy was identified as an entity failing 
to disclose ownership interest. 

[C] Sole proprietors operate farming entities using an employer tax 
identification number and may conduct business under an assumed name. 

[D] Of the 21,310 entities failing to disclose ownership interest, 
5,848 entities had members with tax identification numbers that 
differed by one digit in the RMA and FSA databases. 

[End of table] 

RMA should be able to recover a portion of the $224.8 million in claims 
paid to the 21,310 entities that failed to disclose the ownership 
interest of one or more members in 2003. According to RMA regulations, 
if the policyholder fails to disclose the ownership interest in the 
farming operation as required, the policyholder must repay the amount 
of the claims payment that is proportionate to the interest of the 
person who was not disclosed.[Footnote 9] The average ownership 
interest of the persons not disclosed for the 21,310 entities was 33 
percent; as a result, RMA should be able to recover up to $74 million 
in claims payments. 

According to our analysis of RMA's and FSA's databases, results were 
similar for 2004--20,659 entities failed to disclose the ownership 
interest of one or more members. As a result, RMA should be able to 
recover up to $70 million in claims payments. In addition, we 
identified 24 crop insurance agents who sold policies to farming 
entities in which the agents held a substantial beneficial interest but 
failed to report their ownership interest to RMA as required.[Footnote 
10] These farming entities received $978,912 in claims payments in 2003 
and 2004. 

RMA regulations require that, if a person who is not reported is also 
ineligible to participate in the crop insurance program, the crop 
insurance policy is void, and the policyholder must repay the entire 
claims payment. For example, a person can be ineligible because of 
delinquent debt, such as unpaid premiums, to RMA or insurance 
companies. For 2003 and 2004, using FSA's data, we found that nine 
farming operations contained one or more members participating in the 
crop insurance program who RMA had determined were ineligible to 
participate. 

If RMA had complete information on entity ownership interests, it could 
strengthen the review of some of the largest claims. For example, in 
analyzing the 21,310 entities failing to disclose ownership interest in 
2003, we found 210 entities with questionable insurance claims totaling 
$11.1 million on 244 policies. Furthermore, we identified one claims 
adjuster who adjusted a policy in 2004 with claims payments of $91,094 
for a farming operation in which he held a beneficial interest of 33 
percent.[Footnote 11] RMA guidance prohibits conflict-of-interest 
activities. Among other things, insurance providers are not to permit 
adjusters to adjust a claim of a party in which the adjuster has a 
material or financial interest.[Footnote 12] Without FSA's entity data, 
RMA is missing opportunities to identify potentially fraudulent 
behavior in these operations. 

Furthermore, an internal RMA study found that entities that purchase 
crop insurance for only 1 or 2 years have higher claims experience than 
entities that participate continuously over a number of years.[Footnote 
13] According to FSA officials in two states we contacted, some 
entities are apparently created temporarily to avoid tracking by RMA, 
making it difficult for RMA to identify questionable claims patterns 
over time. They told us that after these entities participate in the 
crop insurance program for a few years, they are dissolved, and the 
farming operations are reestablished under new entity names. 

RMA Cannot Effectively Assess Insurance Companies' Performance Because 
of Weaknesses in Quality Assurance Reviews: 

RMA also looks to insurance companies that are selling and servicing 
crop insurance to help them ensure program compliance and minimize 
losses. RMA guidance states that insurance providers will provide 
oversight to properly underwrite the federal crop insurance program, 
including implementing a quality control program, conducting quality 
control reviews, and submitting an annual report to FCIC. However, RMA 
is not effectively overseeing insurance companies' quality assurance 
programs and, for the claims we reviewed, it does not appear that most 
companies are rigorously carrying out their quality assurance 
functions. For example, 80 of the 120 insurance claim files we reviewed 
claimed more than $100,000 in crop losses or met some other significant 
criteria; RMA's guidance states that the insurance provider must 
conduct a quality assurance review for such claims. However, the 
insurance companies conducted reviews on only 59 of these claims, and 
the reviews were largely paper exercises, such as computational 
verifications, rather than comprehensive analysis of the claim. 

In 2002, USDA's OIG reported that RMA's efforts to develop a quality 
control review system had been rendered ineffective by the absence of a 
policy establishing what the system should measure and what standards 
of accountability should apply.[Footnote 14] The Inspector General 
noted that RMA had not (1) determined whether it should measure each 
insurance company's performance, (2) established an acceptable standard 
error rate to hold companies accountable for excessive errors, and (3) 
defined an error so that error rates or improper payment measurements 
were meaningful. As a result, the Inspector General stated, RMA is no 
closer to having a fully developed and reliable quality control review 
system to evaluate the delivery of the federal crop insurance program 
than it was in 1993, when the Inspector General recommended that RMA 
develop and implement such a system. Similarly, in 1999, we recommended 
that RMA improve its methodology for estimating error rates for claims 
payments.[Footnote 15] We reported that such information is essential 
for evaluating the crop insurance program's effectiveness over time and 
for providing controls over claims payments. 

RMA's own most recent internal review reached a similar conclusion. In 
September 2002, RMA's Deputy Administrator for Compliance reported that 
RMA needed to significantly revise its guidance to accomplish 
meaningful quality assurance reviews with measurable results. This 
conclusion was based on a review of 17 insurance providers' compliance 
with FCIC's quality assurance requirements. For example, the Deputy 
Administrator noted, RMA's guidance did not define the type and amount 
of documentation needed to meet review requirements and to support the 
insurance companies' review results and conclusions. Furthermore, 
because the insurance companies relied heavily on the use of check 
sheets to document and report the results of their reviews, rather than 
inspecting fields, RMA could not confirm that quality assurance reviews 
were performed as required. According to RMA officials, RMA is working 
with a contractor to incorporate the report's recommendations and 
revise its guidance. As of August 2005, RMA had not issued revised 
guidance on the companies' conduct of quality assurance reviews. 

RMA May Be Missing Opportunities to Impose Sanctions Because It Has Not 
Developed Regulations Implementing its Expanded Authority to Impose 
Sanctions under ARPA: 

While ARPA expanded RMA's authority to impose sanctions on producers, 
agents, and adjusters who abuse the crop insurance program, RMA has 
only used this authority on a limited basis. RMA has imposed sanctions 
on individuals who have provided false or inaccurate information, but 
it has not used its new authority to impose sanctions on individuals 
who willfully and intentionally fail to comply with FCIC requirements. 
Under ARPA, RMA has authority to impose sanctions on agents, loss 
adjusters, approved insurance providers, and others who willfully and 
intentionally (1) provide false or inaccurate information or (2) fail 
to comply with other FCIC requirements. Earlier legislation allowed RMA 
to impose sanctions only on individuals who willfully and intentionally 
provided false information. ARPA provides RMA with the authority to 
disqualify producers who have committed a material violation from 
receiving benefits under the insurance program and from most other farm 
programs for up to 5 years. Previously, RMA had authority to disqualify 
producers from purchasing catastrophic risk protection or receiving 
noninsured assistance for up to 2 years and from receiving any other 
benefit under the crop insurance program for up to 10 years. The new 
legislation also provides RMA with greater flexibility to impose civil 
fines. 

ARPA expanded RMA's authority to impose sanctions in order to improve 
compliance with, and the integrity of, the crop insurance program. 
However, as table 3 shows, except for 2004, RMA imposed few sanctions 
even though it has identified about 3,000 suspicious claim payments 
each year since 2001. From 2001 to 2004, RMA imposed 114 sanctions. 

Table 3: RMA Sanctions Requested and Imposed, Crop Years 2001 to 2005: 

Action: Requests for sanctions; 
1996: [B]; 
1997: 22; 
1998: 27; 
1999: 27; 
2000: 16; 
2001: 15; 
2002: 83; 
2003: 56; 
2004: 81; 
2005[A]: 21. 

Action: Sanctions imposed; 
1996: 8; 
1997: 16; 
1998: 28; 
1999: 8; 
2000: 10; 
2001: 9; 
2002: 19; 
2003: 19; 
2004: 67; 
2005[A]: 14. 

Source: RMA. 

Note: Sanctions requested and imposed include civil fines, 
disqualifications, debarments, and suspensions. A civil fine may be 
imposed against a producer, agent, loss adjuster, an approved insurance 
company, or other person that willfully and intentionally provides any 
false or inaccurate information to RMA or to an approved insurance 
provider with respect to a policy or plan of insurance or willfully and 
intentionally fails to comply with an RMA requirement. The fine may be 
imposed for each violation in an amount not to exceed the greater of 
$10,000 or the amount of financial gain obtained as a result of the 
false or inaccurate information or the noncompliance. In the case of a 
violation committed by an agent, loss adjuster, an approved insurance 
company, or other person (other than a producer), the violator may be 
disqualified for up to 5 years from participating in the USDA crop 
insurance program. In the case of a violation committed by a producer, 
the producer may be disqualified for up to 5 years from receiving any 
monetary or nonmonetary benefit under both the crop insurance program 
and other farm programs, such as price supports. 

[A] Data as of July 2005. 

[B] Data not available. 

[End of table] 

According to RMA officials, RMA's ability to impose sanctions is 
limited because it has not developed regulations to implement its new 
authority under ARPA to impose sanctions on individuals who willfully 
and intentionally fail to comply with an FCIC requirement. RMA's 
sanctions office submitted draft regulations to USDA's Office of 
General Counsel in 2001 and again in 2003. However, the Office of 
General Counsel has not approved the draft regulations. RMA 
headquarters officials we spoke with in April 2005 told us that the 
number of sanctions has not substantially increased because regulations 
have not been promulgated to establish what constitutes an FCIC 
requirement and how USDA will determine that a material violation has 
occurred or what process would be followed before imposing sanctions. 
RMA officials told us that they will give priority to issuing 
regulations implementing the sanctions authorized under ARPA. 

Furthermore, since ARPA, the number of RMA referrals to USDA's OIG has 
declined from a high of 37 in 2000 to 14 in 2004. Crop insurance 
investigations opened by OIG have declined from 40 in 2000 to 12 in 
2004, as shown in table 4. The table also shows the number of 
convictions, on average, is less than 10 per year. 

Table 4: Number of USDA OIG Crop Insurance Investigations, Number of 
Referrals to the Department of Justice, and Case Disposition, Fiscal 
Years 1996 to 2005: 

Dollars in millions. 

RMA referrals to USDA's OIG; 
1996: 12; 
1997: 20; 
1998: 12; 
1999: 18; 
2000: 37; 
2001: 28; 
2002: 16; 
2003: 14; 
2004: 14; 
2005[A]: 8. 

OIG investigations opened; 
1996: 27; 
1997: 19; 
1998: 13; 
1999: 24; 
2000: 40; 
2001: 18; 
2002: 16; 
2003: 8; 
2004: 12; 
2005[A]: 11. 

Disposition of OIG referrals to the Department of Justice: 

Referred; 
1996: 1; 
1997: 6; 
1998: 3; 
1999: 8; 
2000: 3; 
2001: 28; 
2002: 13; 
2003: 14; 
2004: 7; 
2005[A]: 5. 

Accepted; 
1996: 1; 
1997: 6; 
1998: 3; 
1999: 7; 
2000: 2; 
2001: 14; 
2002: 7; 
2003: 2; 
2004: 1; 
2005[A]: 3. 

Declined; 
1996: 0; 
1997: 0; 
1998: 0; 
1999: 1; 
2000: 1; 
2001: 14; 
2002: 6; 
2003: 10; 
2004: 3; 
2005[A]: 1. 

Pending; 
1996: 0; 
1997: 0; 
1998: 0; 
1999: 0; 
2000: 0; 
2001: 0; 
2002: 0; 
2003: 2; 
2004: 3; 
2005[A]: 1. 

Department of Justice disposition: 

Indictments; 
1996: 10; 
1997: 6; 
1998: 12; 
1999: 2; 
2000: 11; 
2001: 13; 
2002: 6; 
2003: 15; 
2004: 15; 
2005[A]: 2. 

Convictions; 
1996: 9; 
1997: 11; 
1998: 2; 
1999: 6; 
2000: 4; 
2001: 5; 
2002: 14; 
2003: 8; 
2004: 9; 
2005[A]: 6. 

Dollar impact[B]; 
1996: $1.4; 
1997: $1.7; 
1998: $0.1; 
1999: $1.9; 
2000: $2.0; 
2001: $14.0; 
2002: $1.9; 
2003: $0.7; 
2004: $1.7; 
2005[A]: $9.7. 

Source: USDA's OIG. 

[A] Data as of August 2005. 

[B] Includes recoveries/collections, restitutions, fines, claims 
established to demand repayment of USDA benefits, and cost avoidance. 

[End of table] 

As table 4 also shows, while the number of referrals to the Department 
of Justice has increased, the Department of Justice has declined more 
cases than it has accepted since 2000.[Footnote 16] According to 
Department of Justice officials, the factors considered when accepting 
a case include sufficiency of the evidence, complexity of the case, 
whether the fraudulent activity is part of a pattern or scheme, and 
workload and resources that would be needed to investigate and 
prosecute the case. These officials told us that crop insurance fraud 
cases are highly complex and involve a significant number of documents 
that must be reviewed and presented in court. Furthermore, the dollar 
value of crop insurance cases frequently is not as large as in other 
cases, such as drug trafficking or some white-collar crimes. Finally, 
the officials noted, some cases require a full-time auditor to guide 
the prosecutors in reviewing the insurance and financial documents to 
facilitate presentation to the jury in the trial. 

Insurance agents we surveyed and company officials we contacted 
believed that RMA needs to more aggressively seek to penalize those 
producers, agents, and adjusters that abuse the program. (See app. IV 
for a summary of the results of our survey of crop insurance agents.) 

Other Weaknesses Affect the Crop Insurance Program's Vulnerability: 

We found two other weaknesses in the crop insurance program that leave 
it vulnerable to abuse. First, while RMA has made some improvements to 
verify data in its information system, the system still contains 
inaccurate data and does not always identify inaccurate claims 
payments. Consequently, RMA has a greater risk of accepting policies 
that have erroneous information and of paying for excessive losses. 
Second, production yields can change when producers change farming 
practices, but RMA may not also respond promptly to the resulting 
change in yields, which can lead to excessive claims payments. 

RMA's Insurance Information System Contains Inaccurate Data and Does 
Not Always Identify Inaccurate Claims Payments: 

RMA uses its insurance information system to reduce its vulnerability 
to fraud and abuse. Among other things, this system is to provide a 
means of validating data to ensure that reimbursements are made on 
accurate information. OMB guidance states that financial management 
systems shall be designed with consistent internal controls over data 
entry, transaction processing, and reporting to ensure that information 
is valid and that federal resources are protected.[Footnote 17] Without 
proper controls, an agency risks the possibility of processing 
irregularities. RMA has made improvements in its verification checks to 
try to ensure accurate information, but some weaknesses remain. 

Even though RMA is aware of the need for accurate data, we found that, 
at times, RMA's insurance information system contained inaccurate data. 
The system contained inaccuracies because RMA had not established 
adequate verification checks in making annual adjustments to reflect 
changes to the crop insurance program. 

Each year RMA's program automation group reviews system requirements 
for needed system changes in response to annual program and policy 
changes. In addition, the group seeks input on needed improvements, 
based on prior years' problems, from RMA program users and insurance 
company representatives. This process has been helpful in improving the 
overall accuracy of the data in the system. For example, RMA has made 
the following changes to its insurance information system since 1999: 

* In 1999, RMA implemented a verification check to identify policies 
that are on the same acreage but have two different insurance 
providers. 

* In 2001, RMA began weekly automated reporting on producers with 
duplicate policies. 

* In 2002, RMA implemented a verification check to (1) identify 
producers with unrealistic crop yield reports and (2) ensure that crop 
yield would be verified when producers changed to a new insurance 
provider. 

* In 2003, RMA implemented a verification check to validate producers' 
claims that they were new participants in the crop insurance 
program.[Footnote 18] 

* In 2004, RMA implemented a verification check to identify and 
eliminate duplicate policies for the same producer with more than one 
insurance provider. 

Each of these improvements addressed a specific information system 
weakness that had been identified in prior years, and each improvement 
reduced the likelihood of improper crop insurance payments. 

Nevertheless, we found that certain insurance policies, called written 
agreements--unique policies RMA regional offices develop to meet a 
local producer's specific needs--would bypass all of the verification 
checks that other policies undergo. Policy information from the written 
agreements is provided to the insurance companies, but not all the 
specific policy data are entered into RMA's information system. In 
fact, we found that some of the policies had extremely low insurance 
premium rates, resulting in understated premiums. For example, a policy 
we reviewed showed that the total premium was $1,555 for liability 
coverage of about $520,000, but the correct total premium should have 
been $155,473. For crop years 2003 and 2004, RMA had 8,511 written 
agreement policies with a total liability of over $400 million in its 
insurance information system. Because these types of policies bypass 
all system checks, other errors could occur. 

After we advised RMA of this problem, it reported that it changed the 
information system to check for unusually low premium rates. However, 
in order to conduct all the necessary verification checks on written 
policies, RMA will have to conduct time-consuming coordination efforts 
with its regional offices and the program automation group. 

We also found, in cases of a partial loss, claims payments were made 
that were higher than a specific unit's insurance liability. RMA 
officials stated that the insurance information system contains an edit 
check to ensure that the total claim is not greater than the total 
liability. However, we found that the system did not have an edit check 
to ensure that, in cases of a partial loss, claims paid for each 
insured optional unit were not higher than the total liability for 
those fields. When we reported this issue to RMA, it said that it would 
modify its system. However, due to a number of complexities associated 
with this change, RMA said that the change would not be implemented 
until the 2006 crop year. 

In addition, for 2001 to 2004, we found 14 producers enrolled in the 
crop insurance program who RMA had determined were ineligible to 
participate in the program. RMA officials stated that the insurance 
information system contains an edit check to identify producers 
determined ineligible to participate in the crop insurance program. 
Nevertheless, our analysis found that RMA's system does not identify 
all producers ineligible to participate in the crop insurance program. 
These ineligible producers received about $145,000 in claims payments. 

RMA Did Not Always Account for Changes in Farming Practices in a Timely 
Manner: 

According to a 2003 RMA study, RMA overpaid claims between 2000 and 
2002 in wheat-producing counties in Oregon and Washington because of a 
program vulnerability. Overpayments occurred because RMA did not begin 
reducing producers' relatively high insurance guarantees to take into 
consideration a change in farming practices that began in 1996. This 
change resulted in lower yields on insured fields that had a higher 
yield history and insurance guarantee. RMA began to take this change 
into account in farming practices with the 2004 crop year, but it does 
not expect to fully resolve this issue until about 2014. RMA officials 
told us that if they were to fully adjust producers' insurance 
guarantees to reflect the lower yields in just a year, the agency would 
still be legally obligated to provide the higher guarantee because 
guarantees are based on a 10-year historical average. Under the Federal 
Crop Insurance Act, as amended, RMA is to provide yield coverage based 
on the actual production history of the crop over at least the past 4 
years, building up to the previous 10-year period. 

Before 1996, producers could insure their wheat crop for a higher yield 
if they agreed to allow insured fields to lie fallow for 1 to 2 years 
between plantings, a practice called "summer fallow," rather than plant 
these fields every year (continuous cropping). This practice is used in 
semiarid regions, primarily to conserve moisture for the next season. 
By not planting, producers could allow the soil to recover moisture 
and, it is expected, produce a higher yield when the field is later 
planted. 

Until 1996, RMA knew which practices producers followed. However, in 
1996, USDA's National Agricultural Statistics Service (NASS) changed 
the way it reported information on producers' farming 
practices.[Footnote 19] NASS had been collecting and reporting county 
data on wheat yields by whether producers allowed their fields to lie 
fallow in alternate years or planted them every year. In 1996, when 
NASS stopped reporting yield data by type of production practice, RMA 
stopped distinguishing between producers' production practices. RMA 
allowed producers to continue to insure their wheat at the higher yield 
level associated with summer fallow practices, whether or not the 
producers periodically let fields lie fallow or planted them every 
year. 

Under the Federal Crop Insurance Act, producers are assigned a yield 
based on production records. Between 1995 and 2000, many wheat 
producers in Oregon and Washington shifted their farming practices to 
planting fields every year while using the higher summer fallow 
production records to establish their insured yield. During this 
period, the number of insured acres in the Oregon counties alone rose 
from 4,535 to 108,569. However, RMA did not adjust its coverage to take 
into account the lower yields associated with fields planted every 
year. Consequently, producers received an insurance guarantee based on 
a history of yields from fields that had been fallow in alternate 
years, even though now they planted these fields every year, which made 
them unlikely to achieve the higher yields of a summer fallow practice. 
According to RMA's data, a summer fallow practice provides producers 
yields that are up to 33 percent higher than annual planting practice. 
For example, a producer who grew an average of 40 bushels of wheat per 
acre using the summer fallow production practice may have the potential 
to grow only 30 bushels per acre using annual planting practice. Since 
RMA allows producers to use production history from summer fallow 
practices to establish insurable yields for annual crop production, the 
producer in this example can grow 30 bushels annually and make an 
insurance claim for the other 10 bushels (although over time the actual 
production history will decrease, reducing the producer's ability to 
file a claim). RMA's data mining showed that producers took advantage 
of this program vulnerability. Excessive insurance guarantees for some 
producers may have contributed to higher claims. 

Beginning with the 2004 crop year, RMA decided to offer insurance for 
wheat in these counties by the practice producers employed, either a 
summer fallow practice or continuous cropping practice. While this 
decision should reduce program vulnerability, the problem will only be 
eliminated gradually. RMA did not require producers to recertify their 
historical acreage and production by separate practice to correct the 
insurance guarantee. RMA officials agreed that some producers will 
continue receiving claims payments based on an inflated "normal" yield 
history until the production history is corrected with actual yields 
over the next 10 years. 

RMA's Regulations and Statutory Requirements Hinder RMA Officials' 
Efforts to Reduce Abuse in the Crop Insurance Program: 

RMA's regulations, as well as statutory mandates, have created a 
program design that can impede RMA officials' efforts to prevent and 
detect fraud, waste, and abuse in a number of ways. First, in terms of 
RMA's regulations, producers can insure their fields individually 
instead of insuring all fields combined, which makes it easier for them 
to switch production among fields, either to make false insurance 
claims or to build up a higher yield history on a particular field in 
order to increase its eligibility for higher future insurance 
guarantees. In addition, companies participating in the crop insurance 
program bear minimal risk on some of the policies they sell and 
service, giving the companies little incentive to rigorously challenge 
questionable claims on these policies. In terms of statutory 
requirements, RMA must offer producers "prevented planting" coverage-- 
coverage if an insured crop is prevented from being planted--but it is 
often difficult to determine whether the producer had the opportunity 
to plant a crop. Furthermore, statutorily established premium subsidies 
are high and, therefore, may shield high-risk producers from the full 
effect of paying higher premiums. 

Option to Allow Producers to Insure Each of Their Fields Separately May 
Contribute to Program Abuse: 

Many patterns of producer fraud, waste, and abuse are possible if 
producers manipulate how they report production from separately insured 
units. Under RMA's regulations, producers can insure production of a 
crop on each optional unit or insure an entire basic unit. With 
separately insured optional units, for example, if hail damages a crop 
on one field, producers receive an insurance indemnity to cover the 
hail losses. However, if producers insured their entire crop in a 
single basic insurance unit, the hail losses may not have caused the 
production yield of all units combined to have been below the level 
guaranteed by the insurance and, therefore, would not warrant an 
indemnity payment. 

However, separately insured optional units make it easier for producers 
to report production from one field that was actually produced on a 
second field in order to make false insurance claims or to build up a 
higher yield history on a particular field to increase its eligibility 
for higher future insurance guarantees.[Footnote 20] Since claims 
payments for optional units are based upon the yield in each field, 
rather than the yield for the entire farm, the result of this 
misreporting is to generate or increase claims on the first field while 
enhancing the yield for future insurance guarantees on the second 
field. In a future period, the producer reallocates production from the 
second field to the first field, thus increasing indemnities on the 
second field while rebuilding the yield of the first field. Insurance 
companies or RMA could increase inspection activity in an attempt to 
reduce occurrences of production switching, but increased activity 
would raise the costs of administering the program. 

According to a 2002 RMA study, relative losses per unit increase as the 
number of separately insured optional units increases.[Footnote 21] 
Furthermore, given the similarities in a producer's separately insured 
units, the study could not identify any credible reasons, in the 
absence of fraud, waste, or abuse, that the losses should increase with 
increases in the number of separately insured units. Finally, the study 
concluded that such loss patterns are unlikely to occur naturally. 
According to an RMA official, gathering the evidence to support a yield-
switching fraud case requires considerable resources, especially for 
large farming operations. Furthermore, the official noted, in order to 
prove production switching, adjusters would need to appraise all of a 
producer's fields just before harvest. 

In 2003, RMA identified 2,371 suspicious claims, 273 of which (about 12 
percent) had patterns associated with switching production among 
fields. Furthermore, in our review of claim files, we identified 10 
producers with patterns of claims associated with this type of fraud. 
Table 5 highlights a pattern of claims suggesting yield switching, as 
shown by the production history for a producer farming over 2,000 acres 
of irrigated cotton in west Texas. Generally, this producer insured a 
yield of about 700 pounds per unit. To the extent an individual unit 
reports production below the insurance guarantee, the producer is paid 
an indemnity. 

Table 5: Production Reported by an Irrigated Cotton Producer Indicating 
Yield Switching: 

Unit identifier: 101; 
Production per acre (in pounds): Crop year 2001: 1,419; 
Production per acre (in pounds): Crop year 2002: 113; 
Production per acre (in pounds): Crop year 2003: 184. 

Unit identifier: 102; 
Production per acre (in pounds): Crop year 2001: 156; 
Production per acre (in pounds): Crop year 2002: 1,769; 
Production per acre (in pounds): Crop year 2003: 366. 

Unit identifier: 103; 
Production per acre (in pounds): Crop year 2001: 208; 
Production per acre (in pounds): Crop year 2002: 230; 
Production per acre (in pounds): Crop year 2003: 1,523. 

Unit identifier: 104; 
Production per acre (in pounds): Crop year 2001: 303; 
Production per acre (in pounds): Crop year 2002: 387; 
Production per acre (in pounds): Crop year 2003: 183. 

Unit identifier: 105; 
Production per acre (in pounds): Crop year 2001: [A]; 
Production per acre (in pounds): Crop year 2002: 445; 
Production per acre (in pounds): Crop year 2003: 166. 

Claim payment received; 
Production per acre (in pounds): Crop year 2001: $539,233; 
Production per acre (in pounds): Crop year 2002: $450,077; 
Production per acre (in pounds): Crop year 2003: $639,457. 

Source: GAO analysis of RMA's claim data. 

[A] Unit number 105 was not insured in crop year 2001. 

[End of table] 

For example, in 2001 the producer harvested the crop on Unit 101 with a 
reported yield of 1,419 pounds of cotton per acre and reported losses 
on the remaining three units, thereby obtaining claims payments of over 
$500,000. It appears some of the production from the three units with 
claims for losses was shifted to the unit with the high production. By 
building up a higher yield history on Unit 101, the producer increased 
the insurance guarantee on this unit for 2002 and beyond. In 2002, the 
producer claimed a loss on Unit 101, as well three other units, 
obtaining claims payments of over $400,000. In 2003, the pattern was 
repeated, resulting in claims payments of more than $600,000. 

FSA's field inspection of Unit 101 in 2003, conducted in September just 
prior to harvest, found that the "cotton looked good and was comparable 
with other fields in the area." Nonetheless, the insurance company paid 
the claims on the units to the producer in December 2003 and January 
2004. 

Moreover, we found that the producer in this case--a farming operation 
set up as a general partnership--leased land from the owner of the 
cotton gin where the farming operation sold its cotton and where the 
cotton gin recorded the production levels that the farming operation 
used to substantiate its claims. The owner of the gin also provided the 
partnership with loan security to obtain operating capital. 
Furthermore, one of the partners in the farming operation, who had a 
power of attorney to sign documents on behalf of the partnership, was 
also employed in the office of the cotton gin. We referred this case to 
RMA for follow-up investigation, which reported that there was not 
enough evidence of abuse to refer the case for sanction or prosecution. 

In his 2003 loss review, however, the claims adjuster questioned the 
producer's farming practices, prompting the insurance company to 
perform a preharvest inspection in 2004. The producer did not file a 
claim in 2004. In 2005, RMA and insurance company representatives 
performed joint preharvest appraisals on this producer's fields in 
anticipation of a filing for a claim. No claim had been filed for 2005 
at the time we completed our review. 

Minimal Risk Sharing on Some Policies May Not Provide Insurance 
Companies Strong Incentive to Carry Out Their Responsibilities under 
the Program: 

Insurance companies participating in the crop insurance program share a 
percentage of the risk of loss or opportunity for gain on each 
insurance policy they write, but the federal government ultimately 
bears a high share of the risk. Under the SRA, insurance companies are 
allowed to assign policies to one of three risk funds--assigned risk, 
developmental, or commercial. The SRA provides some criteria for 
designating policies to these funds. For the assigned risk fund, the 
companies cede up to 85 percent of the premium and associated liability 
for claims payments to the government and share a limited portion of 
the gains and losses on the policies they retain. Economic incentives 
to control program costs associated with fraud, waste, and abuse are 
commensurate with financial exposure. Therefore, for policies placed in 
the assigned risk fund, companies have far less incentive to 
investigate claims than the federal government would. For example, in 
one claim file we reviewed, an insurance company official characterized 
the producer as filing frequent, questionable claims; however, the 
company paid a claim of over $500,000. The official indicated that if 
the company vigorously challenged the claim, the producer would have 
defended his claim just as vigorously, and the company would have 
potentially incurred significant litigation expenses, which RMA does 
not reimburse. In the company's opinion, it was less costly to pay the 
claim. In 2003, companies placed about 19 percent of the policies they 
wrote in the assigned risk fund and about 69 percent in the commercial 
fund. However, for those producers on RMA's spot-check list, about 47 
percent of the policies were in the assigned risk fund, and 38 percent 
were in the commercial fund. 

RMA and Insurance Companies Have Difficulty Determining Potential Abuse 
Associated with Prevented Planting Coverage: 

Under the Federal Crop Insurance Act, as amended, RMA must offer 
prevented planting coverage. Under the act and its implementing 
regulations, RMA allows claims for prevented planting if producers 
cannot plant due to an insured cause of loss that is general in the 
surrounding area and that prevents other producers from planting 
acreage with similar characteristics.[Footnote 22] Claims for prevented 
planting are paid at a reduced level, recognizing that producers do not 
incur all production costs associated with planting and harvesting a 
crop. However, determining whether producers can plant their crop may 
be difficult. Annually, RMA pays about $300 million in claims for 
prevented planting. 

In written comments on our survey, 25 FSA inspectors reported that they 
believe some producers in their county who claimed prevented planting 
losses never intended to plant or did not make a good faith attempt to 
plant their crop. Additionally, in some cases, it appears that the 
insurance company's claims adjusters may not exercise due diligence in 
evaluating prevented planting claims. For example, a producer in south 
Texas received claims payments of over $21,000 for prevented planting 
claims for corn in 2003 and 2004. The producer claimed that excess 
rainfall made his fields too wet to plant. However, according to a June 
2004 FSA field inspection report, there was no evidence the producer 
had made any attempt to prepare the fields for planting in either the 
2003 or 2004 growing seasons. The FSA inspection report noted, and 
photographs showed, the fields contained permanent grasses and 5-foot 
tall weeds, as well as large hay bales from the prior growing season. 
In addition, rainfall for the county in April and May, 2003, was well 
below normal, and there was no evidence that the producer had ordered 
seed in anticipation of planting. Moreover, in 2003, of the 66 corn 
policies in the county, the producer's policy had the only claim for 
prevented planting. Because the cause of loss was not general to the 
area, the producer should not have received payment on the claim. 
Similarly, in 2004, the producer filed one of only three claims for 
prevented planting of the 55 corn policies in the county. According to 
an official of the insurance company that sold and serviced this 
policy, prevented planting claims are paid early in the growing season, 
and because information on other companies' claims experience is 
unavailable, it is difficult to assess whether producers' claims are 
due to an insured cause of loss that is general in the surrounding area 
and that prevents other producers from planting acreage with similar 
characteristics. On the basis of our review, RMA investigated the 2003 
and 2004 prevented planting claims for this producer and subsequently 
directed the insurance company to seek reimbursement for the 2003 claim 
payment. 

High Premium Subsidies May Inhibit RMA's Ability to Control Program 
Abuse: 

To encourage program participation, ARPA increased premium subsidies-- 
the share of the premium paid by the government--but this increase may 
hamper RMA's ability to control program waste and abuse. Premium 
subsidies are calculated as a percentage of the total premium, and 
producers pay only between 33 to 62 percent of the policy premium, 
depending on coverage level. High premium subsidies shield producers 
from the full effect of paying higher premiums. Because premium rates 
are higher in riskier areas and for riskier crops, the subsidy 
structure transfers more federal dollars to those who produce riskier 
crops or farm in riskier areas. 

In addition, premium rates are higher for producers who choose to 
insure their fields separately under optional units, rather than all 
fields combined, because the frequency of claims payments is higher on 
the separately insured units. Again, however, because of high premium 
subsidies, producers pay only a fraction of the higher premium. Thus, 
the subsidy structure creates a disincentive for producers to insure 
all fields combined. Over one-half (56 percent) of the crop insurance 
agents responding to our survey believed that charging higher premiums 
for producers with a pattern of high or frequent claims would 
discourage fraud, waste, and abuse in the crop insurance program. 

Finally, in disaster years, ARPA increases insurance protection by 
allowing producers to substitute a percentage of the historical average 
county yield for actual yields. As a result of ARPA, RMA sets a floor 
under producers' annual yields so that yields in any year cannot fall 
below 60 percent of the historical average county yield (called the 
transitional yield) for that crop. Consequently, the amount of crop 
insured against loss is at least 60 percent of the average county 
yield, giving producers higher coverage than experience would allow. 
Although RMA sets a higher premium for producers because of actual 
production losses, because of high premium subsidies producers pay only 
a fraction of the higher premium. Thus, the subsidy structure creates 
an incentive for producers to insure at the higher level of protection. 

Recently Prosecuted Crop Insurance Fraud Cases Highlight Program 
Vulnerabilities: 

Eight recent crop insurance fraud cases that were investigated by 
USDA's OIG and resulted in criminal prosecution between June 2003 and 
April 2005 reflect some of the issues we identified. The cases show how 
producers, sometimes in collusion with others, falsely report planting, 
claims of damage and production to try to circumvent RMA's procedures. 
In some cases, producers hid production or switched it from one field 
to another. Several of these cases also demonstrate the importance of 
having FSA and RMA work together to identify and share information on 
questionable farming practices/activities. Table 6 summarizes these 
eight cases, which accounted for $3.1 million in fraudulent claims 
payments. These cases, which were researched and analyzed by our Office 
of Forensic Audits and Special Investigations, are described here and 
in more detail in appendix V. 

Table 6: Crop Insurance Fraud Cases Investigated by the USDA/OIG and 
Resulting in Criminal Prosecution, June 2003 to April 2005: 

Case: 1; 
Fraud allegation: Failure to plant; 
How detected: OIG/RMA/FSA identified irregularities through joint data 
mining effort and follow-up inspection; 
Collusion: Possible. Insurance adjuster indicted for falsely verifying 
losses; 
Fraudulent claims payments: $57,155. 

Case: 2; 
Fraud allegation: False claim of crop damage from hail, heat, and 
drought; 
How detected: RMA and FSA received complaints and initiated review; 
Collusion: Possible. Insurance policy purchased from agency owned by a 
sister-in-law; 
Fraudulent claims payments: $39,826. 

Case: 3; 
Fraud allegation: False claim of crop damage from excessive moisture; 
How detected: OIG initiated. Fraud detection survey of grain elevator 
disclosed irregularities; 
Collusion: No; 
Fraudulent claims payments: $435,087. 

Case: 4; 
Fraud allegation: Failure to plant; 
How detected: FSA filed complaint with RMA; 
Collusion: Yes. Insured was also agent and issued policies through his 
agency. Insurance adjusters falsified forms. Seed dealers also provided 
false receipts; 
Fraudulent claims payments: $630,000. 

Case: 5; 
Fraud allegation: False claim of crop damage; 
How detected: RMA noticed suspicious adjustments in grain quality by 
grain elevator company; 
Collusion: Yes. Farmer and grain elevator operator; 
Fraudulent claims payments: $1,000,000. 

Case: 6; 
Fraud allegation: False crop yield history to inflate insurance claim; 
How detected: OIG hotline complaint; 
Collusion: Yes. Insurance agents pled guilty to falsifying insurance 
documents; 
Fraudulent claims payments: [A]. 

Case: 7; 
Fraud allegation: No ownership interest in crops; underreporting of 
crop yield; 
How detected: OIG hotline complaint; 
Collusion: No; 
Fraudulent claims payments: $19,000. 

Case: 8; 
Fraud allegation: Failure to plant; false claim of moisture damage; 
concealing production; 
How detected: Bankruptcy fraud investigation revealed insurance fraud; 
Collusion: Ongoing investigation of insurance representatives; 
Fraudulent claims payments: $912,364. 

Sources: GAO's analysis of USDA and U.S. Department of Justice case 
information. 

[A] Data not available. 

[End of table] 

These eight crop insurance cases are described as follows: 

* Case 1. The subject of this investigation, a producer in Tennessee, 
in 1999 improperly obtained crop insurance coverage for his tomato crop 
and received a claims payment for losses that had not occurred. 
Moreover, this producer was ineligible to participate in the crop 
insurance program because he had not paid a past premium. In order to 
hide the fact that he was the true grower of 1999 tomato crops in two 
Tennessee counties, he used his wife's name on crop insurance 
documents. In addition, his wife filed a report with the insurance 
company claiming a higher level of acreage planted to inflate the value 
of any subsequent insurance claim. An insurance adjuster assisted the 
producer by fraudulently signing forms showing he inspected and 
measured the nonexistent crops and that his observations supported the 
wife's claimed loss. 

* Case 2. A producer planted a wheat crop after the planting deadline, 
which made the crop ineligible for crop insurance. He reported, 
however, that the crop had been planted before the deadline and falsely 
claimed crop losses because of hail, heat, and drought. Furthermore, 
the producer did not have an ownership interest in the crop. Instead, 
the producer's brother leased the farm land and paid the cost of 
planting, and the brother's wife owned the insurance agency that issued 
the insurance policy on the crop. FSA filed a complaint with RMA 
because FSA officials had observed that the crop was planted past the 
planting deadline. 

* Case 3. Two producers conspired to file fraudulent crop insurance 
claims, stating that their bean crops had been damaged by excessive 
moisture. They underreported the crop yield to the insurance company 
and hid production by delivering the harvest to processing plants using 
false names. The scheme was discovered by OIG during a fraud detection 
survey at a grain elevator. Investigators reviewed the sales of 
uninsured crops and identified production sold under other names that 
actually belonged to the two producers. 

* Case 4. A farming partnership filed fraudulent insurance claims of 
crop losses for cotton, wheat, and grain sorghum that were never 
planted. The producer, who also owned an insurance agency formed a 
farming partnership with other family members for these acres, and the 
producer's insurance agency wrote insurance policies for the farming 
partnership. Two insurance adjusters, who did not visit any of the 
fields, filed false appraisal and production worksheets verifying the 
losses. A seed dealer also prepared false receipts to support the 
producer's planting claims. However, inconsistent statements on 
documents submitted to FSA led to an inspection of the farming 
operation, and inspectors found little evidence of planting. A 
subsequent investigation resulted in admissions of guilt. 

* Case 5. The manager of a grain elevator conspired with producers to 
sell their wheat at discounted prices by providing them with false 
documentation showing that a large portion of their crop was damaged by 
weather and below weight. The manager also falsified documents, stating 
that the crop was of lower quality and provided falsified samples of 
severely damaged wheat to mislead insurance adjusters. Producers could 
then collect crop insurance and disaster payments from the federal 
government. 

* Case 6. Two crop insurance agents conspired with producers to inflate 
actual production histories, which allowed the producers to receive 
higher indemnity payments on insurance claims. The agents backdated an 
insurance application, created a false insurance policy based on a 
fictitious yield rate, and had the producers sign blank insurance 
documents. This fraud was identified through an OIG hotline complaint. 

* Case 7. An investigation was initiated following an OIG hotline 
complaint that a producer had reported different crop yields to FSA and 
RMA. OIG determined that the producer had, among other things, (1) 
filed four false insurance claims, stating that he had experienced a 
failed harvest and needed to replant; (2) filed claims on crops in 
which he had no ownership interest; (3) inflated the size of a corn 
crop loss; and (4) filed a claim in which he underreported the yield. 

* Case 8. Producers falsely claimed they (1) were prevented from 
planting because of excess moisture and (2) had planted crops that they 
did not plant and claimed losses on these crops. The producers also 
filed claims in which they underreported the yield and for crops in 
which they had no interest. In order to report a crop loss and 
manipulate their yields, the producers sold crops using other people's 
names. These schemes were discovered during the course of a bankruptcy 
fraud investigation involving some of the producers. 

RMA's Failure to Follow Its Guidelines Has Resulted in Program Losses 
for Some New and Expanded Crop Insurance Products: 

RMA has not always developed or expanded crop insurance products 
according to its guidelines, thereby contributing to program losses. 
RMA's guidelines (1) identify RMA's mission for expanding the crop 
insurance program; (2) outline the process and procedures by which the 
RMA responds to requests to add a new insurance program; (3) specify 
data submission requirements for analysis of the new program request; 
and (4) establish the framework RMA will use to implement, maintain, 
and evaluate a new program expansion.[Footnote 23] According to RMA, 
these guidelines are intended to ensure producer interest and crop 
suitability and to minimize exposure to loss. We found that, in some 
instances when RMA did not follow its guidelines, it had higher claims 
and loss ratios. 

Most of the newly developed and expanded products we reviewed--15 of 
the 16 products--were developed under the guidelines RMA had in place 
before ARPA. Under these guidelines, RMA officials are to obtain 
information documenting, among other things, the following: 

* significant grower interest in the insurance coverage; 

* the crop's economic significance; 

* actuarial sufficiency and data availability (e.g., producer acreage, 
crop yield, production cost, and weather data); 

* a risk profile and analysis (e.g., perils affecting the crop, 
production experience, available markets, and product viability); 

* agronomic, aquatic, and horticultural suitability (e.g., commercial 
life cycle of the crop, rotation requirements, whether the crop is an 
annual, biennial, or perennial); 

* marketing potential (e.g., market characteristics, risks, and 
competition); and: 

* implementation parameters (e.g., crop year for implementation and 
number of states). 

Under ARPA, the FCIC Board of Directors is required to have actuarial 
and underwriting experts independently review policies, plans of 
insurance, and related materials before approving new products. 

Of the 16 crop insurance products we reviewed, 11 were newly developed, 
and 5 were expansions of an existing crop into a new geographic 
area.[Footnote 24] RMA's overall loss ratio for the 16 pilot crop 
products was about 2.0 (or $2.00 in claims paid for every $1.00 in 
premium). Four of the 16 cases we reviewed had loss ratios of 1.0 or 
less. (See app. VI for a comparison of loss ratios for these 16 crop 
insurance products.) In 12 of the 16 cases, it appeared that RMA 
followed its guidelines in terms of documenting the proposed insured 
crops' past production experience, crop suitability, potential for 
loss, and implementation parameters. However, for the cases in which 
RMA did not follow its guidelines, the products experienced claims in 
excess of premiums of over $50 million. 

For example, FCIC's Board of Directors approved coverage of fall- 
planted watermelons as part of a broader watermelon insurance pilot 
program covering watermelon production in seven states and 15 counties 
for spring-and fall-planted watermelons--without considering all the 
factors called for under its guidelines--such as a horticultural study. 
Such a consideration would have provided assurance that the proposed 
product was actuarially sound, according to the OIG.[Footnote 25] 
Overall, the watermelon pilot program had over $51 million in claims 
payments in 1999, its first year of operations, and had a loss ratio 
(claims paid divided by premiums) of 5.8. Of the claims payments in 
1999, $21.1 million, or 44 percent, was for fall-planted watermelons in 
the three Texas counties. According to the Inspector General, a 
horticultural analysis would have shown that fall watermelons were a 
high-risk crop in that region of Texas. The product was discontinued 
after a year. In responding to the Inspector General about its offering 
of insurance for fall-planted watermelons in Texas, RMA commented that 
a shortage of experienced staff was a major factor contributing to the 
agency's lack of adherence to its guidelines. 

In another case--the apple quality option policy--the FCIC Board of 
Directors quickly approved this product despite a number of questions 
suggesting the need for additional study. The approved product, which 
insured a higher grade of apples than existing apple crop policies, 
experienced large losses. In determining whether to approve this 
product, the Board of Directors contracted for studies from five 
independent companies. One of the studies reported 10 major concerns 
about the product, including incomplete documentation, the large number 
of counties in the pilot program (approximately 86 percent of the apple 
crop), and an understated premium rate. Three of the other four 
reviewers raised similar concerns. The other reviewer supported the 
proposal with minor reservations. Even with these concerns, the FCIC 
Board of Directors quickly approved the pilot without additional 
analyses. The claims for this product for crop years 2001 through 2003 
were about $4.4 million, and the product had a loss ratio of 2.6. RMA 
officials contend that the loss ratio can primarily be attributed to 
some apple producers in California, who may have abused the system. 
According to RMA officials, the Board of Directors discussed the 
concerns raised by the studies but still approved the request for the 
pilot. A delay in approval might have delayed the pilot's 
implementation for a year. As of August 2005, RMA was moving to 
contract with independent reviewers to evaluate the apple quality 
option pilot program including its actuarial soundness and whether it 
effectively meets the needs of apple producers. 

Upon approval by the FCIC Board of Directors, new products have a 
probationary period--generally 1 to 3 years. Under RMA guidelines, 
newly developed products are to be examined annually to see that they 
are meeting performance goals--such as producer participation by year, 
state, county, and insurance company; loss ratios; and appropriate 
premiums. RMA is to make adjustments if warranted and determine whether 
the product should be continued or terminated. 

According to RMA officials, in lieu of a formal review, RMA informally 
collects data on each new insurance product by at least annually 
corresponding with RMA regional offices and outside sources. They said 
that annual reviews are only of limited value in providing the 
information RMA needs to determine the viability of a product because 
it takes several years to get a clear picture of how well an insurance 
product will perform. 

The lack of an annual evaluation did not appear to significantly affect 
future years' loss experience for most of the 11 new products we 
reviewed. However, timely annual evaluation of the sweet potato program 
might have saved the federal crop insurance program several million 
dollars. The sweet potato program's loss ratio from 1998 through 2002 
ranged from 2.3 to 5.2, but RMA waited until 2003 before making changes 
to it and made additional changes for the 2004 crop year. From 1998 to 
2003, the sweet potato program recorded claims of $47 million compared 
with premiums of about $12 million. An evaluation completed in 2003 
suggested that the high dollar claims for this product could not fully 
be attributed to weather conditions but rather suggested potential 
fraud or abuse. Earlier, more timely reviews could have identified the 
irregular claims activity in selected counties and might have averted 
the claims payments. In October 2004, the FCIC Board of Directors 
terminated the existing sweet potato pilot program and implemented a 
new program that included reduced coverage and increased growing 
experience requirements for participation. In May 2005, the Inspector 
General reported on RMA's failure to follow its procedures for 
performing new product reviews, including the sweet potato pilot 
program, and recommended that RMA improve the timeliness of its 
evaluations for new products.[Footnote 26] 

Conclusions: 

Federal crop insurance plays an invaluable role in assuring the 
nation's farmers that their crops will be protected from natural 
disasters. However, the importance of the program and the significant 
role it plays in U.S. agriculture is frequently overshadowed by 
controversy associated with fraud, waste, and abuse in the program. In 
recent years, with the assistance of the new tools in ARPA, RMA has 
made progress in strengthening a number of program elements and thereby 
reducing fraud, waste, and abuse, as well as the amount of funds paid 
in error. 

Still, we identified weaknesses in how RMA, FSA, and insurance 
companies carry out their program responsibilities, and these 
weaknesses continue to leave the program vulnerable to questionable 
claims and missed opportunities to prevent losses to the federal 
government. Lack of timely, useful communication between RMA and FSA 
has resulted in insufficient information sharing between the two 
agencies, as well as with the insurance companies and insufficient 
inspections of land with suspicious claims. Furthermore, RMA has not 
been given access by FSA to key information on producers who have a 
beneficial interest in one or more farming operations. As a result, 
many of the largest farming operations are not closely scrutinized in 
the crop insurance program. Many of these farming entities fail to 
disclose producers having an ownership interest in the entity and who 
may be ineligible to participate in the federal crop insurance program. 
In addition, insurance companies' quality control reviews of claims are 
weak because RMA does not effectively oversee the companies' quality 
assurance efforts leaving the crop insurance program susceptible to 
fraud and abuse. Finally, RMA has used one of its key enforcement 
tools--sanctions against producers, agents, and companies--on a very 
limited scale because, 4 years after ARPA, it has not promulgated 
regulations establishing how it will impose some of the additional 
sanctions authorized under ARPA. 

We recognize that the crop insurance regulations or statutory 
provisions are intended to strengthen protection for producers. 
However, in many cases, RMA has difficulty ensuring that these 
provisions are not abused. RMA has opportunities to improve the 
program's design by eliminating the option of insuring fields (optional 
units) for producers who have a history of high losses in comparison 
with other producers growing the same crop in the same area. The 
program's high premium subsidies, specified in the Federal Crop 
Insurance Act, as amended by ARPA, may also limit RMA's ability to 
control program abuse because the subsidies shield producers from the 
full effect of paying higher premiums associated with frequent or 
larger claims. 

Periodic lapses in program management when developing and expanding new 
crop insurance products limit the effectiveness of RMA's guidelines and 
can cause unnecessary losses to the crop insurance program. Generally, 
when RMA followed its guidelines, new products incurred fewer losses. 
ARPA provided RMA with a new, seemingly more rigorous process to review 
new products. However, the new process cannot succeed unless RMA more 
closely follows its guidelines. 

The crop insurance program is designed to accommodate the needs of all 
of America's producers. Fraud, waste, and abuse can cause producers to 
pay more for crop insurance and hurt the reputation of the program. 
Further reducing vulnerability to fraud, waste, and abuse in the crop 
insurance program will require a coordinated effort among the agencies 
and companies managing the program--RMA, FSA, and the participating 
insurance companies. Each agency and the companies have an important 
role in monitoring agent, adjuster, and producer actions and in sharing 
key program information with one another. 

Matter for Congressional Consideration: 

To better protect the crop insurance program from fraud, waste, and 
abuse, Congress should consider allowing RMA to reduce premium 
subsidies--and hence raise the insurance premiums--for producers who 
consistently have claims that are irregular in comparison with other 
producers growing the same crop in the same location. 

Recommendations for Executive Action: 

To better ensure that field inspections are used to the maximum effect 
to address fraud, waste, and abuse in the federal crop insurance 
program, we recommend that the Secretary of Agriculture take the 
following eight actions. Specifically, we recommend that the Secretary 
direct the Administrators of RMA and FSA to create an action plan to 
ensure that: 

* FSA field offices conduct all inspections called for under agency 
guidance; 

* RMA informs FSA field inspectors of the suspect claim patterns that 
they are to investigate; and: 

* FSA inspections are conducted in a timely manner, and inspection 
results are reported expeditiously to insurance companies. 

We further recommend that the Secretary of Agriculture: 

* promulgate regulations to implement its expanded authority under ARPA 
to impose sanctions; 

* direct FSA to share producer-derived information with RMA for data 
mining to administer and enforce the requirements of the crop insurance 
program; 

* direct RMA to determine if payments have been made to ineligible 
producers or to entities that failed to disclose ownership interests 
and, if so, to recover the appropriate amounts; 

* direct RMA to strengthen its oversight of the insurance companies' 
implementation of the quality control review system; and: 

* direct RMA to reduce the insurance guarantee or eliminate optional 
unit coverage for producers who consistently have claims that are 
irregular in comparison with other producers growing the same crop in 
the same location. 

Agency Comments and Our Evaluation: 

We provided USDA with a draft of this report for its review and 
comment. We received written comments from USDA's Under Secretary for 
Farm and Foreign Agricultural Services. The department agreed to act on 
most of our recommendations, including (1) ensuring that inspections 
are conducted in a timely manner, and that inspection results are 
reported expeditiously to insurance companies; (2) directing FSA to 
share producer-derived information with RMA; (3) directing RMA to 
determine if payments have been made to ineligible producers or to 
entities that failed to disclose ownership interests and, if so, to 
recover the appropriate amounts; and (4) directing RMA to strengthen 
its oversight of the insurance companies' implementation of the quality 
control review system. 

With respect to issuing regulations to implement its expanded authority 
under ARPA to impose sanctions, USDA agreed that promulgation of ARPA- 
based sanction regulations would enhance RMA's sanctions efforts. 
However, USDA stated that it was incorrect to suggest that the lack of 
regulations is a critical impediment to imposing sanctions. USDA also 
stated that there has been a learning curve since ARPA was enacted but 
that it has been imposing sanctions under its ARPA authority since 2000 
and that it has made "significant and steady progress" in both the 
numbers and types of sanctions imposed. Our report indicates that USDA 
has imposed some sanctions since the enactment of ARPA. However, the 
number of sanctions imposed by RMA has not increased appreciably since 
the enactment of ARPA. For example, RMA imposed an average of less than 
20 sanctions annually from 1996 to 2000, and an average of less than 20 
sanctions annually from 2001 to 2005, except for 2004 (67), which was 
an exception. While not all questionable claims payments are 
necessarily sanctionable, RMA has identified about 3,000 questionable 
payments annually since beginning data mining in 2001. We continue to 
believe RMA has not fully exercised its new authority. 

Under ARPA, RMA has new authority to impose sanctions on agents, loss 
adjusters, approved insurance providers, and others who willfully and 
intentionally fail to comply with an FCIC program requirement. In April 
2005, RMA officials told us that the number of sanctions has not 
substantially increased in part because regulations have not been 
promulgated under ARPA. Subsequently, an official from USDA's Office of 
General Counsel told us that RMA had not imposed any sanctions under 
its new authority to do so on the basis of a failure to comply with an 
FCIC program requirement. This official indicated that regulations were 
needed to establish what constitutes an FCIC program requirement, how 
USDA will determine that a material violation has occurred, and what 
process will be followed before imposing sanctions under this 
provision. USDA does not dispute the report's findings that no 
sanctions have been imposed under this sanction provision of ARPA. 

USDA disagreed with our recommendation to ensure that FSA field offices 
conduct all inspections called for under agency guidance because FSA 
did not have sufficient resources to complete all of these inspections. 
Given the potentially high payoff from providing greater assistance to 
RMA, we believe that FSA may want to conduct a study to determine the 
costs and benefits of making staff available for crop insurance 
inspections. 

USDA also disagreed with our recommendation to reduce the insurance 
guarantee or eliminate optional unit coverage for producers who 
consistently file claims that are irregular in comparison with other 
producers growing the same crop in the same location. USDA stated that 
this recommendation represented a disproportionate response, 
considering the small number of producers identified as yield switching 
each year and that adoption of our recommendation would not be cost- 
effective. We agree that the number of policies identified annually as 
having patterns consistent with yield switching is small in comparison 
with the number of policies in the crop insurance program. However, we 
believe it is possible to narrowly tailor an underwriting rule so that 
it would target only a few producers each year and would entail few 
resources. Such a tool would provide RMA with another means to 
discourage producers from abusing the program. Thus, we continue to 
believe it is reasonable for RMA to reduce the insurance guarantee or 
eliminate optional unit coverage for producers who consistently file 
and receive questionable claims payments. 

USDA also provided technical corrections, which we have incorporated 
into this report as appropriate. USDA's written comments are presented 
in appendix VII. 

As agreed with your office, unless you publicly announce the contents 
of this report earlier, we plan no further distribution until 30 days 
from the report date. At that time, we will send copies of this report 
to appropriate Congressional Committees; the Secretary of Agriculture; 
the Director, Office of Management and Budget; and other interested 
parties. In addition, this report will be available at no charge on the 
GAO Web site at [Hyperlink, http://www.gao.gov]. 

If you have any questions about this report, please contact me at (202) 
512-3841 or [Hyperlink, robinsonr@gao.gov]. Contact points for our 
Offices of Congressional Relations and Public Affairs may be found on 
the last page of this report. GAO staff who made major contributions to 
this report are listed in appendix VIII. 

Sincerely yours, 

Signed by: 

Robert A. Robinson: 
Managing Director, Natural Resources and Environment: 

[End of section] 

Appendixes: 

Appendix I: Objectives, Scope, and Methodology: 

At the request of the Chairman of the Senate Committee on Homeland 
Security and Governmental Affairs, we examined the U.S. Department of 
Agriculture (USDA) Risk Management Agency's (RMA) procedures for 
assuring integrity in the crop insurance program. Specifically, we 
agreed to (1) assess the effectiveness of USDA's procedures and 
processes to prevent and detect fraud, waste, and abuse in selling and 
servicing crop insurance policies; (2) determine the extent to which 
program design issues may make the program more vulnerable to fraud, 
waste, and abuse; and (3) determine the effectiveness of USDA's 
procedures to assure program integrity in developing new crop insurance 
products. 

To assess the effectiveness of USDA's procedures and processes to 
prevent and detect fraud, waste, and abuse in the selling and servicing 
of crop insurance policies, we examined a nonrandom sample of 120 
insurance claims from the 2,794 claims that RMA identified as 
warranting a field inspection in 2004. Of these 120 claims, 100 were 
the largest claims paid, and 20 were selected to ensure representation 
of all data analysis selection criteria. To review the claims, we 
visited seven insurance companies and contacted three others to request 
the claim files. We also examined the guidance that RMA and USDA's Farm 
Service Agency (FSA) field offices use to implement the requirements of 
the Agricultural Risk Protection Act of 2000 (ARPA), including the 
FSA/RMA Handbook FCIC Program Integrity, 4-RM. In addition, we examined 
guidance that RMA uses to ensure compliance with the Federal Crop 
Insurance Act, including relevant laws; regulations and agency policy, 
including the 2003 Crop Insurance Handbook; Manual 14, Guidelines and 
Expectations for Delivery of the Federal Crop Insurance Program; loss 
adjustment manuals; crop insurance handbooks; and related managers' 
bulletins and notices. 

In addition, we conducted two surveys. To assess the effectiveness of 
RMA and FSA's coordinated monitoring efforts at the local level, we 
conducted a Web-based survey of all 829 FSA county officials who were 
responsible for conducting field inspections in 2003. The survey 
contained 17 questions that asked for opinions and assessments of (1) 
preharvest and growing season inspections; (2) training and education 
on crop insurance; (3) the findings and actions taken by RMA; and (4) 
FSA's role in reducing fraud, waste, and abuse in crop insurance. In 
developing the questionnaire, we met with officials in FSA headquarters 
to gain a thorough understanding of the coordinated plan FSA uses to 
assist RMA in monitoring the crop insurance program. We also shared a 
draft copy of the questionnaire with these officials, who provided us 
with comments, including technical corrections. We then pretested the 
questionnaire with FSA officials in two county offices each in Texas 
and Georgia, as well as with officials in one office each in Maryland, 
Minnesota, and North Dakota. During these pretests, we asked the 
officials to complete the Web-based survey as we observed the process. 
After completing the survey, we interviewed the respondents to ensure 
that (1) questions were clear and unambiguous, (2) terms we used were 
precise, (3) the questionnaire did not place an undue burden on the FSA 
county officials completing it, and (4) the questionnaire was 
independent and unbiased. On the basis of the feedback from the 
pretests, we modified the questions, as appropriate. 

The questionnaire was posted on GAO's survey Web site. When the survey 
was activated, the officials who had been selected to participate were 
informed of its availability with an e-mail message that contained a 
unique user name and password. This allowed respondents to log on and 
fill out a questionnaire but did not allow respondents access to the 
questionnaires of others. The survey was available from December 9, 
2004, until March 11, 2005. We received responses for 92 percent of the 
829 FSA officials. Results of the survey to FSA county officials are 
summarized in appendix III.[Footnote 27] 

To solicit crop insurance agents' views on control weaknesses and 
suggestions for improving oversight of the crop insurance program, we 
developed a questionnaire that was mailed to crop insurance agents. In 
developing the questionnaire, we met with officials in RMA headquarters 
to gain a thorough understanding of internal controls in the crop 
insurance program. We also shared a draft copy of the questionnaire 
with these officials who provided us comments, including technical 
corrections. We then pretested the questionnaire with five crop 
insurance agents in Texas, five agents in Georgia, and five agents in 
North Dakota. During each pretest we interviewed the respondent to make 
sure that the (1) questions were clear and unambiguous, (2) 
questionnaire terms were precise, (3) questionnaire did not place an 
undue burden on the agents completing it, and (4) questionnaire was 
independent and unbiased. The survey was mailed to the crop insurance 
agents on December 21, 2004. 

Because of the large number of agents (more than 13,000) that 
participate in the crop insurance program, we used a probability 
sample. Before sampling, agents were grouped by the dollar amount of 
policies sold in 2003. The number of agents sampled from each group was 
proportionate to the number of agents in the group. The final number of 
agents selected was 951. However, because of incorrect addresses or 
other information, the final sample was 935. We received responses from 
76 percent of these 935 insurance agents. 

The results from the survey are presented as estimates, each with a 
measurable precision, or sampling error, that may be expressed as a 
plus/minus figure. By adding the sampling error to and subtracting it 
from the estimate, we developed upper and lower bounds for each 
estimate. The range between these two estimates is called the 
confidence interval. Sampling errors and confidence intervals are 
stated at a certain confidence level, in this case, 95 percent. For 
example, a confidence interval at the 95 percent confidence level means 
that in 95 out of 100 cases, the sampling procedure would produce a 
confidence interval that would include the estimated value. Results of 
the survey are summarized in appendix IV.[Footnote 28] 

At our request, the Center for Agribusiness Excellence in Stephenville, 
Texas, conducted data mining on RMA's crop insurance databases and 
FSA's computer databases for farming operations receiving commodity 
program payments. For these operations, the databases contain detailed 
information on the individuals that are members or beneficiaries, their 
share of payments, and additional organizational details. We asked the 
Center for Agribusiness Excellence to determine whether (1) 
policyholders report all farming operations in which they have a 
substantial beneficial interest, (2) certain farming operations 
manipulate production among affiliated farming entities to file 
questionable crop insurance claims, and (3) conflicts of interest exist 
for members of farming operations who are also agents or claims 
adjusters. In addition, for policyholders identified as not having 
reported all farming operations in which they have a substantial 
beneficial interest, we asked the Center for Agribusiness Excellence to 
determine whether any of these policyholders had been identified by RMA 
as ineligible to participate in the crop insurance program. 

To determine the extent to which program design issues may make the 
program more vulnerable to fraud, waste, and abuse, we conducted a 
qualitative assessment of economic studies. We also discussed these 
issues with USDA program officials in headquarters and with field 
office officials who conduct inspections during the growing season. 

To examine practices recently employed by producers, agents, and 
adjusters to defraud the federal crop insurance program, GAO's Office 
of Forensic Audits and Special Investigations (FSI) asked USDA's Office 
of Inspector General (OIG) to provide the names of all crop insurance 
fraud cases they had investigated in the preceding 2 years that 
resulted in criminal prosecution. OIG identified eight cases of crop 
insurance fraud prosecuted between June 2003 and April 2005. FSI 
reviewed OIG's case files for these cases, spoke with representatives 
from the U.S. Department of Justice, and reviewed relevant reports, 
court papers, and other documentation on these cases. FSI conducted its 
investigation from February through June 2005 in accordance with 
quality standards for investigations as set forth by the President's 
Council on Integrity and Efficiency. 

Finally, to determine the effectiveness of USDA's procedures in 
assuring program integrity in developing new crop insurance programs, 
we evaluated the agency's policies, procedures, and other pertinent 
documents to determine what controls were in place to assure program 
integrity. Specifically, for developmental products, we reviewed RMA's 
New Program Development Handbook and, for expansion of existing 
products, we reviewed RMA's General Guidelines and Criteria for 
Submitting County Crop Program Expansion Requests. We reviewed these 
RMA guidelines to determine the types of analyses expected and the 
process that was to be followed in order to establish a new or 
expansion product. We also spoke with RMA's product development and 
expansion officials. We selected a nonrandom sample of 16 products that 
were developed (11 products) or expanded (5 products) during 1998 and 
2002 and compared the work performed and documented with the 
appropriate RMA guidance. The 11 products included 5 products with the 
highest loss ratios (over $3 claims paid for every $1 of premiums) and 
6 products with low loss ratios (less than $3 in claims paid for every 
$1 of premiums). 

We conducted our review from July 2004 through August 2005 according to 
generally accepted government auditing standards, which included an 
assessment of data reliability and internal controls. 

[End of section] 

Appendix II: Selected Information on the Federal Crop Insurance 
Program, 1981-2004: 

Acres and dollars in millions. 

Year: 1981; 
Policies: (in thousands): 416.8; 
Acres: 45.0; 
Liability: $5,981.2; 
Total premium: $376.8; 
Subsidy: $47.0; 
Producer premium: $329.8; 
Claims paid: $407.3; 
Total loss ratio[A]: 1.08; 
Producer loss ratio[B]: 1.23. 

Year: 1982; 
Policies: (in thousands): 386.0; 
Acres: 42.7; 
Liability: $6,124.9; 
Total premium: $396.1; 
Subsidy: $91.3; 
Producer premium: $304.8; 
Claims paid: $529.1; 
Total loss ratio[A]: 1.34; 
Producer loss ratio[B]: 1.74. 

Year: 1983; 
Policies: (in thousands): 310.0; 
Acres: 27.9; 
Liability: $4,369.9; 
Total premium: $285.8; 
Subsidy: $63.7; 
Producer premium: $222.1; 
Claims paid: $583.7; 
Total loss ratio[A]: 2.04; 
Producer loss ratio[B]: 2.63. 

Year: 1984; 
Policies: (in thousands): 389.8; 
Acres: 42.7; 
Liability: $6,619.6; 
Total premium: $433.9; 
Subsidy: $98.3; 
Producer premium: $335.6; 
Claims paid: $638.4; 
Total loss ratio[A]: 1.47; 
Producer loss ratio[B]: 1.90. 

Year: 1985; 
Policies: (in thousands): 414.6; 
Acres: 48.6; 
Liability: $7,159.9; 
Total premium: $439.8; 
Subsidy: $100.1; 
Producer premium: $339.7; 
Claims paid: $683.1; 
Total loss ratio[A]: 1.55; 
Producer loss ratio[B]: 2.01. 

Year: 1986; 
Policies: (in thousands): 406.9; 
Acres: 48.7; 
Liability: $6,230.0; 
Total premium: $379.7; 
Subsidy: $88.1; 
Producer premium: $291.6; 
Claims paid: $615.7; 
Total loss ratio[A]: 1.62; 
Producer loss ratio[B]: 2.11. 

Year: 1987; 
Policies: (in thousands): 433.9; 
Acres: 49.1; 
Liability: $6,094.9; 
Total premium: $365.1; 
Subsidy: $87.6; 
Producer premium: $277.5; 
Claims paid: $369.8; 
Total loss ratio[A]: 1.01; 
Producer loss ratio[B]: 1.33. 

Year: 1988; 
Policies: (in thousands): 461.0; 
Acres: 55.6; 
Liability: $6,964.7; 
Total premium: $436.4; 
Subsidy: $108.0; 
Producer premium: $328.4; 
Claims paid: $1,067.6; 
Total loss ratio[A]: 2.45; 
Producer loss ratio[B]: 3.25. 

Year: 1989; 
Policies: (in thousands): 948.6; 
Acres: 101.6; 
Liability: $13,535.8; 
Total premium: $814.3; 
Subsidy: $205.0; 
Producer premium: $609.3; 
Claims paid: $1,212.2; 
Total loss ratio[A]: 1.49; 
Producer loss ratio[B]: 1.99. 

Year: 1990; 
Policies: (in thousands): 894.8; 
Acres: 101.4; 
Liability: $12,828.4; 
Total premium: $836.5; 
Subsidy: $215.3; 
Producer premium: $621.2; 
Claims paid: $973.0; 
Total loss ratio[A]: 1.16; 
Producer loss ratio[B]: 1.57. 

Year: 1991; 
Policies: (in thousands): 706.8; 
Acres: 82.4; 
Liability: $11,216.0; 
Total premium: $737.0; 
Subsidy: $190.1; 
Producer premium: $546.9; 
Claims paid: $955.3; 
Total loss ratio[A]: 1.30; 
Producer loss ratio[B]: 1.75. 

Year: 1992; 
Policies: (in thousands): 663.4; 
Acres: 83.1; 
Liability: $11,334.1; 
Total premium: $758.8; 
Subsidy: $196.7; 
Producer premium: $562.1; 
Claims paid: $918.2; 
Total loss ratio[A]: 1.21; 
Producer loss ratio[B]: 1.63. 

Year: 1993; 
Policies: (in thousands): 679.2; 
Acres: 83.7; 
Liability: $11,353.4; 
Total premium: $755.7; 
Subsidy: $200.0; 
Producer premium: $555.7; 
Claims paid: $1,655.5; 
Total loss ratio[A]: 2.19; 
Producer loss ratio[B]: 2.98. 

Year: 1994; 
Policies: (in thousands): 800.9; 
Acres: 99.6; 
Liability: $13,608.4; 
Total premium: $949.4; 
Subsidy: $254.9; 
Producer premium: $694.5; 
Claims paid: $601.1; 
Total loss ratio[A]: 0.63; 
Producer loss ratio[B]: 0.87. 

Year: 1995; 
Policies: (in thousands): 2,034.3; 
Acres: 220.5; 
Liability: $23,728.5; 
Total premium: $1,543.3; 
Subsidy: $889.4; 
Producer premium: $653.9; 
Claims paid: $1,567.7; 
Total loss ratio[A]: 1.02; 
Producer loss ratio[B]: 2.40. 

Year: 1996; 
Policies: (in thousands): 1,615.2; 
Acres: 204.9; 
Liability: $26,876.8; 
Total premium: $1,838.6; 
Subsidy: $982.1; 
Producer premium: $856.5; 
Claims paid: $1,492.7; 
Total loss ratio[A]: 0.81; 
Producer loss ratio[B]: 1.74. 

Year: 1997; 
Policies: (in thousands): 1,319.8; 
Acres: 182.2; 
Liability: $25,459.0; 
Total premium: $1,775.4; 
Subsidy: $902.8; 
Producer premium: $872.6; 
Claims paid: $993.6; 
Total loss ratio[A]: 0.56; 
Producer loss ratio[B]: 1.14. 

Year: 1998; 
Policies: (in thousands): 1,242.7; 
Acres: 181.8; 
Liability: $27,921.4; 
Total premium: $1,875.9; 
Subsidy: $946.3; 
Producer premium: $929.6; 
Claims paid: $1,677.5; 
Total loss ratio[A]: 0.89; 
Producer loss ratio[B]: 1.80. 

Year: 1999; 
Policies: (in thousands): 1,288.8; 
Acres: 196.9; 
Liability: $30,939.5; 
Total premium: $2,310.1; 
Subsidy: $1,394.0; 
Producer premium: $916.1; 
Claims paid: $2,434.7; 
Total loss ratio[A]: 1.05; 
Producer loss ratio[B]: 2.66. 

Year: 2000; 
Policies: (in thousands): 1,323.2; 
Acres: 206.5; 
Liability: $34,443.8; 
Total premium: $2,540.2; 
Subsidy: $1,365.8; 
Producer premium: $1,174.4; 
Claims paid: $2,594.8; 
Total loss ratio[A]: 1.02; 
Producer loss ratio[B]: 2.21. 

Year: 2001; 
Policies: (in thousands): 1,297.9; 
Acres: 211.3; 
Liability: $36,730.3; 
Total premium: $2,961.8; 
Subsidy: $1,771.7; 
Producer premium: $1,190.1; 
Claims paid: $2,960.2; 
Total loss ratio[A]: 1.00; 
Producer loss ratio[B]: 2.49. 

Year: 2002; 
Policies: (in thousands): 1,259.5; 
Acres: 214.9; 
Liability: $37,335.0; 
Total premium: $2,916.3; 
Subsidy: $1,741.8; 
Producer premium: $1,174.5; 
Claims paid: $4,066.9; 
Total loss ratio[A]: 1.39; 
Producer loss ratio[B]: 3.46. 

Year: 2003; 
Policies: (in thousands): 1,241.5; 
Acres: 217.4; 
Liability: $40,619.0; 
Total premium: $3,431.2; 
Subsidy: $2,041.9; 
Producer premium: $1,389.3; 
Claims paid: $3,254.6; 
Total loss ratio[A]: 0.95; 
Producer loss ratio[B]: 2.34. 

Year: 2004; 
Policies: (in thousands): 1,228.8; 
Acres: 221.1; 
Liability: $46,615.5; 
Total premium: $4,186.2; 
Subsidy: $2,477.4; 
Producer premium: $1,708.8; 
Claims paid: $3,110.9; 
Total loss ratio[A]: 0.74; 
Producer loss ratio[B]: 1.82. 

1981-94 average; 
Policies: (in thousands): 565.2; 
Acres: 65.2; 
Liability: $8,815.8; 
Total premium: $569.0; 
Subsidy: $139.0; 
Producer premium: $429.9; 
Claims paid: $800.7; 
Total loss ratio[A]: 1.41; 
Producer loss ratio[B]: 1.86. 

1995-04 average; 
Policies: (in thousands): 1,385.2; 
Acres: 205.8; 
Liability: $33,066.9; 
Total premium: $2,537.9; 
Subsidy: $1,451.3; 
Producer premium: $1,086.6; 
Claims paid: $2,415.4; 
Total loss ratio[A]: 0.95; 
Producer loss ratio[B]: 2.30. 

Source: RMA. 

Note: GAO analysis of RMA's data. 

[A] Claims paid (indemnity) divided by total premium. 

[B] Claims paid (indemnity) divided by producer premium. 

[End of table] 

[End of section] 

Appendix III: Results of Implementation of the Agricultural Risk 
Protection Act of 2000: Survey of FSA County Directors of USDA: 

Q1. Do you feel that you clearly understand RMA's expectations 
regarding conducting growing season inspections (spot checks)? 

Definitely yes (percent): 49.7%; 
Probably yes (percent): 43.1%; 
Uncertain (percent): 4.7%; 
Probably not (percent): 1.7%; 
Definitely not (percent): 0.8%; 
No response (percent): 0.0%; 
Number of respondents: 743. 

[End of table] 

Q2. In your opinion, are most producers in your county aware of growing 
season inspections that are conducted on the fields of other producers? 

Definitely yes (percent): 6.5%; 
Probably yes (percent): 25.6%; 
Uncertain (percent): 15.3%; 
Probably not (percent): 43.6%; 
Definitely not (percent): 8.7%; 
No opinion (percent): 0.1%; 
No response (percent): 0.1%; 
Number of respondents: 743. 

[End of table] 

Q3. In your opinion, have growing season inspections in your county 
increased compliance of most producers with crop insurance provisions? 

Definitely yes (percent): 3.4%; 
Probably yes (percent): 25.2%; 
Uncertain (percent): 32.2%; 
Probably not (percent): 32.0%; 
Definitely not (percent): 5.5%; 
No opinion (percent): 1.5%; 
No response (percent): 0.3%; 
Number of respondents: 743. 

[End of table] 

Q4. During the past two years have you observed a potential non- 
compliance situation during the normal course of your official duties? 

Yes (percent): 28.1%; 
No (percent): 68.4%; 
No response (percent): 3.5%; 
Number of respondents: 743. 

[End of table] 

Q5. During the past two years, when you observed a potential non- 
compliance situation during the normal course of your official duties, 
how often did you initiate CCC Form 2007 (Report of Crop Insurance Non- 
compliance)? 

Always or almost always (percent): 52.8%; 
Most of the time (percent): 11.5%; 
About half of the time (percent): 2.0%; 
Some of the time (percent): 5.6%; 
Never or almost never (percent): 13.9%; 
No response (percent): 14.3%; 
Number of respondents: 252. 

[End of table] 

Q6. When did you receive RMA's request(s) for 2003 growing season 
inspection(s) (spot checks)? 

Before planting season; 
Percent: 40.5%; 
Number of respondents: 743. 

During planting season; 
Percent: 25.2%; 
Number of respondents: 743. 

Less than 30 days after final planting date; 
Percent: 6.5%; 
Number of respondents: 743. 

More than 30 days after final planting date but before harvest; 
Percent: 14.9%; 
Number of respondents: 743. 

During or after harvest; 
Percent: 2.0%; 
Number of respondents: 743. 

Don't remember and there is no record of time request was received; 
Percent: 2.7%; 
Number of respondents: 743. 

Other ( Please specify below); 
Percent: 7.0%; 
Number of respondents: 743. 

No response; 
Percent: 1.1%; 
Number of respondents: 743. 

[End of table] 

Q6 other. If you checked "Other" in Question 6 above, please explain in 
the textbox below. 

Writing comment (percent): 8.1%; 
Number of respondents: 743. 

[End of table] 

Q7. During the past 4 years, have you received any training/education 
on federal crop insurance? 

Yes (percent): 82.9%; 
No (percent): 15.5%; 
No response (percent): 1.6%; 
Number of respondents: 742. 

[End of table] 

Q8. How adequate was the training/education you received on federal 
crop insurance? 

Very adequate (percent): 28.6%; 
Somewhat adequate (percent): 52.8%; 
Neither adequate nor inadequate (percent): 9.9%; 
Somewhat inadequate (percent): 5.9%; 
Very inadequate (percent): 0.8%; 
No response (percent): 1.9%; 
Number of respondents: 625. 

[End of table] 

Q9. Do you think that you need more training/education on federal crop 
insurance? 

Definitely yes (percent): 16.0%; 
Probably yes (percent): 49.1%; 
Uncertain (percent): 13.6%; 
Probably not (percent): 17.9%; 
Definitely not (percent): 2.7%; 
No opinion (percent): 0.5%; 
No response (percent): 0.1%; 
Number of respondents: 742. 

[End of table] 

Q10. During the past 4 years, have you received any training/education 
(either in-class or on-line) on conducting growing season inspections 
(spot checks)? 

Yes (percent): 56.0%; 
No (percent): 41.2%; 
No response (percent): 2.8%; 
Number of respondents: 741. 

[End of table] 

Q11. How adequate was the training/education you have received on 
conducting growing season inspections (spot checks)? 

Very adequate (percent): 19.6%; 
Somewhat adequate (percent): 55.2%; 
Neither adequate nor inadequate (percent): 11.4%; 
Somewhat inadequate (percent): 6.0%; 
Very inadequate (percent): 1.1%; 
No response (percent): 6.7%; 
Number of respondents: 464. 

[End of table] 

Q12. Do you think that you need more training/education on conducting 
growing season inspections (spot checks)? 

Definitely yes (percent): 17.3%; 
Probably yes (percent): 44.3%; 
Uncertain (percent): 10.0%; 
Probably not (percent): 23.3%; 
Definitely not (percent): 4.0%; 
No opinion (percent): 0.7%; 
No response (percent): 0.4%; 
Number of respondents: 741. 

[End of table] 

Q13. Do any of the following make it difficult for you to conduct 
growing season and preharvest inspections? 

a. Quality of the guidance from FSA%; 
Yes (percent): 12.5%; 
No (percent): 78.9%; 
Uncertain (percent): 6.5%; 
No response (percent): 2.2%; 
Number of respondents: 738. 

b. Quality of the guidance from RMA%; 
Yes (percent): 25.4%; 
No (percent): 63.2%; 
Uncertain (percent): 8.6%; 
No response (percent): 2.9%; 
Number of respondents: 736. 

c. Inspection requests received late%; 
Yes (percent): 30.7%; 
No (percent): 62.3%; 
Uncertain (percent): 3.9%; 
No response (percent): 3.2%; 
Number of respondents: 727. 

d. Not a priority with your supervisor%; 
Yes (percent): 3.4%; 
No (percent): 86.3%; 
Uncertain (percent): 4.8%; 
No response (percent): 5.6%; 
Number of respondents: 735. 

e. Not a priority with state office%; 
Yes (percent): 3.3%; 
No (percent): 86.5%; 
Uncertain (percent): 5.9%; 
No response (percent): 4.4%; 
Number of respondents: 735. 

f. Findings not acted on%; 
Yes (percent): 17.1%; 
No (percent): 60.9%; 
Uncertain (percent): 16.6%; 
No response (percent): 5.5%; 
Number of respondents: 731. 

g. No explanation or follow-up from RMA on findings%; 
Yes (percent): 33.7%; 
No (percent): 50.0%; 
Uncertain (percent): 11.4%; 
No response (percent): 4.9%; 
Number of respondents: 736. 

h. You are uncomfortable in assisting RMA with enforcement%; 
Yes (percent): 17.9%; 
No (percent): 75.3%; 
Uncertain (percent): 5.3%; 
No response (percent): 1.5%; 
Number of respondents: 738. 

i. Not enough time%; 
Yes (percent): 49.1%; 
No (percent): 45.7%; 
Uncertain (percent): 2.8%; 
No response (percent): 2.4%; 
Number of respondents: 740. 

j. Other (Please specify below.)%; 
Yes (percent): 28.8%; 
No (percent): 33.5%; 
Uncertain (percent): 2.1%; 
No response (percent): 35.6%; 
Number of respondents: 340. 

[End of table] 

Q13 other. If you checked "Other" in Question 13 above, please explain 
in the textbox below. 

Writing comment (percent): 13.9%; 
Number of respondents: 743. 

[End of table] 

Q14. Would feedback from RMA following growing season inspections help 
you be more effective in reducing fraud, waste, and abuse in the crop 
insurance program in your county? 

Definitely yes (percent): 34.5%; 
Probably yes (percent): 44.6%; 
Uncertain (percent): 11.1%; 
Probably not (percent): 8.8%; 
Definitely not (percent): 0.7%; 
No response (percent): 0.4%; 
Number of respondents: 740. 

[End of table] 

Q15. In your opinion, do any of the following areas of the FSA/RMA 
Handbook FCIC Program Integrity 4-RM need to be improved? 

a. Part 1: Basic provisions (pp. 1.1 - 1.7); 
Yes (percent): 5.6%; 
No (percent): 70.8%; 
Uncertain (percent): 17.8%; 
No response (percent): 5.7%; 
Number of respondents: 734. 

b. Part 2: Referrals and Investigations (pp. 2.1 - 2.59); 
Yes (percent): 17.1%; 
No (percent): 58.5%; 
Uncertain (percent): 18.8%; 
No response (percent): 5.6%; 
Number of respondents: 733. 

c. Part 3: Claims Audit (pp. 3.1 - 3.9); 
Yes (percent): 12.2%; 
No (percent): 57.1%; 
Uncertain (percent): 24.0%; 
No response (percent): 6.8%; 
Number of respondents: 722. 

d. Part 5: State Technical Committee (STC) Consultation (pp. 5.1 - 
5.59); 
Yes (percent): 6.6%; 
No (percent): 57.6%; 
Uncertain (percent): 26.9%; 
No response (percent): 8.9%; 
Number of respondents: 728. 

e. Part 6: Data Reconciliation (pp. 6.1 - 6.185); 
Yes (percent): 19.0%; 
No (percent): 52.9%; 
Uncertain (percent): 21.4%; 
No response (percent): 6.7%; 
Number of respondents: 733. 

f. Other (Please specify below.); 
Yes (percent): 8.2%; 
No (percent): 36.3%; 
Uncertain (percent): 13.0%; 
No response (percent): 42.6%; 
Number of respondents: 331. 

[End of table] 

Q15 other. If you checked "Other" in Question 15 above, please explain 
in the textbox below. 

Writing comment (percent): 4.4%; 
Number of respondents: 743. 

[End of table] 

Q16. In your opinion, how effective are RMA and FSA in coordinating 
their efforts to reduce fraud, waste, and abuse in the crop insurance 
program? 

Extremely effective (percent): 1.6%; 
Very effective (percent): 16.2%; 
Moderately effective (percent): 31.4%; 
Somewhat effective (percent): 27.6%; 
Slightly effective or not effective (percent): 17.6%; 
No opinion (percent): 5.1%; 
No response (percent): 0.5%; 
Number of respondents: 740. 

[End of table] 

Q17. In your opinion, with respect to reducing fraud, waste, and abuse 
in the crop insurance program, how effective is the coordination of 
your State FSA Office with your County Office? 

Extremely effective (percent): 9.4%; 
Very effective (percent): 43.3%; 
Moderately effective (percent): 25.3%; 
Somewhat effective (percent): 11.3%; 
Slightly effective or not effective (percent): 6.1%; 
No opinion (percent): 4.2%; 
No response (percent): 0.4%; 
Number of respondents: 742. 

[End of table] 

Q18. If you would like to make any additional comments concerning the 
crop insurance program or RMA's and FSA's efforts to combat fraud, 
waste, and abuse and ensure integrity and compliance, please enter your 
comments in the textbox below. 

Writing comment (percent): 40.8%; 
Number of respondents: 743. 

[End of table] 

[End of section] 

Appendix IV: Results of Improving Compliance and Integrity in the 
Federal Crop Insurance Program: Survey of Crop Insurance Agents: 

This appendix presents the questionnaire that was sent to crop 
insurance agents and the results of our survey. The results are 
presented in terms of the estimates of the responses we would have 
received to the questions in our survey if we had surveyed all agents 
selling crop insurance. Because of the large number of crop insurance 
agents, we used a sample (probability sample). Before sampling, agents 
were grouped by the dollar amount of policies sold in 2003. The number 
of agents sampled from each group was proportionate to the number of 
agents in the group. The final sample consisted of 935 agents. 

The survey results that we present are estimates, each with a 
measurable precision, or sampling error, that may be expressed as a 
plus/minus figure. By adding the sampling error to and subtracting it 
from the estimate, we develop upper and lower bounds for each estimate. 
The range between these two estimates is called the confidence 
interval. Sampling errors and confidence intervals are stated at a 
certain confidence level, in this case, 95 percent. For example, a 
confidence interval at the 95 percent confidence level means that in 95 
out of 100 cases, the sampling procedure would produce a confidence 
interval that would include the estimated value. 

[See PDF for image] 

[End of figure] 

[End of section] 

Appendix V: Crop Insurance Fraud Cases Criminally Prosecuted, June 2003 
to April 2005: 

This appendix presents GAO's Office of Forensic Audits and Special 
Investigations description of eight cases of crop insurance fraud 
investigated by U.S. Department of Agriculture's (USDA) Office of 
Inspector General (OIG) and criminally prosecuted between June 2003 and 
April 2005. 

Case 1: 

Based on results from data mining, OIG, and USDA's Farm Service Agency 
(FSA) and Risk Management Agency (RMA) conducted field inspections on a 
producer in Tennessee. Problems identified during the inspection of the 
producer's farm were reported to the insurance company that provided 
the policy. 

In 1999, the producer improperly obtained crop insurance coverage for 
his tomato crop and received a claims payment for losses that had not 
occurred. The producer was ineligible to participate in the crop 
insurance program because he had not paid a past premium. In order to 
hide the fact that he was the true grower of 1999 tomato production in 
two Tennessee counties, he used his wife's name on crop insurance 
documents. In addition, his wife filed a report with the insurance 
company claiming a higher level of acreage planted to inflate the value 
of any subsequent insurance claim. An insurance adjuster assisted the 
producer by fraudulently signing forms showing he inspected and 
measured the crops and that his observations supported the wife's 
claimed loss. 

The producer's wife received $57,155 in crop insurance payments for 
losses claimed on the 1999 tomato crop. In September 2003, the producer 
pled guilty to six counts of making false statements on loan or credit 
applications and one count each of conspiracy to defraud the 
government, making false statements, and making false claims. He was 
sentenced to 3 years probation and ordered to pay $57,155 in 
restitution to RMA. 

Case 2: 

Following up on OIG hotline complaints, USDA initiated an investigation 
of a wheat producer in Georgia. In February 2000, the Georgia producer 
claimed a loss of 400 acres of wheat because of heavy hail damage and a 
hot and dry growing season. He had previously reported that the wheat 
had been planted by the planting deadline--December 15, 1999. The lease 
for the land, however, was not effective until January 2000, and the 
owner of the land confirmed that he did not allow any crops to be 
planted before the lease began. Other witnesses corroborated that the 
wheat on this land was not planted until sometime in early 2000--after 
the planting deadline. The producer received a $39,826 claims payment 
for the reported loss. 

The USDA investigation revealed that the producer's brother worked for 
the insurance company that insured the wheat crop, and the policy was 
actually sold through a crop insurance agency owned by the brother's 
wife. Records subpoenaed from the wife's insurance agency disclosed 
additional policies issued to the subject. Crop insurance claims 
payments on those policies for the 2000 crop year exceeded $400,000. 
The investigation also determined that the insurance adjusters for 
these claims were contract adjusters for the brother's employer. 

On June 30, 2003, the producer pled guilty in federal district court to 
making false statements on loan or credit applications. He was 
sentenced to 1 day in prison and ordered to pay $39,826 in restitution 
to RMA. 

Case 3: 

An OIG-initiated fraud detection survey of grain elevators disclosed 
irregularities at a Minnesota grain elevator and led to the 
investigation of two Minnesota producers. In 1997 and 1998, these 
producers grew pinto bean and black turtle bean crops that were covered 
by federal crop insurance. The producers falsely claimed that their 
crops had been damaged by excessive moisture and underreported the 
amount of beans that were harvested and sold for processing. They also 
arranged for the harvested beans to be sold using false names so that 
the insurance adjuster would not be able to link them to this 
production. Production information was also omitted from production 
worksheets. The producers received claims payments of $435,087 for 
losses. 

In June 2003, each of the producers pled guilty to felony theft and 
entered into civil agreements under the False Claims Act. The producers 
were disqualified from the crop insurance program for 1 year and paid 
restitution of $435,087 and civil penalties of $10,000. 

Case 4: 

This case originated when FSA filed a complaint with RMA about a crop 
insurance agent who was also a producer in Wilbarger County, Texas. The 
producer and other family members were in a farming partnership and 
obtained six crop insurance policies for crop year 1999 that covered 
about 6,500 acres of wheat, cotton, and grain sorghum. All of the 
policies were issued through the producer's own insurance agency. 

The producer gave an adjuster a schedule of insurance forms with 
predetermined figures to be used on appraisal and production worksheets 
for the wheat, cotton, and grain crops. The adjuster later admitted 
that he did not visit any of the fields to conduct appraisals or to 
verify crop production. In addition, the producer had a seed dealer 
prepare false receipts to support his claim that he had purchased seed 
to plant the crops. The producer and adjuster falsified crop insurance 
loss documents and collected $630,000 in fraudulent claims payments for 
crops that the producer had not planted. 

In February 2004, the producer was convicted of multiple counts of 
making false claims to the government and a related conspiracy charge. 
He was sentenced to 41 months in prison, to be followed by 3 years of 
supervised release and ordered to pay $448,000 in restitution to RMA. 
In November 2004, the insurance adjuster pled guilty to one count of 
conspiracy and received a sentence of 2 years probation, including in- 
home confinement and was ordered to pay $447,230 in restitution to RMA. 

Case 5: 

RMA investigated the manager of a northwestern Minnesota grain elevator 
when it noticed suspicious adjustments in grain quality. The manager of 
the grain elevator was charged with providing North Dakota farmers with 
false documents that were used to obtain over $1 million in fraudulent 
crop insurance payments from RMA and over $350,000 in improper crop 
disaster payments from FSA. 

The manager persuaded producers to sell their wheat at discounted 
prices to his grain elevator company and then provided the producers 
with false documents that purposefully undervalued the wheat's weight 
and quality. The manager also directed company employees to create 
samples of severely damaged wheat to mislead insurance adjusters and to 
create records that misled USDA about the amount of wheat at the 
elevator. This falsification enabled the producers to fraudulently 
collect crop insurance and crop disaster payments. 

The manager was convicted of conspiracy to defraud USDA and two counts 
of false statements in February 2003 and was subsequently sentenced to 
46 months in prison and ordered to make restitution in the amount of 
$751,758. He also was to remain on supervised release for 3 years after 
serving his prison term. 

Case 6: 

Following an OIG hotline complaint, investigators found that two crop 
insurance agents had falsified crop insurance documents for a producer, 
thereby enabling the producer to file false crop insurance claims. For 
example, the agents backdated the producer's crop insurance 
application, created a false insurance policy based on a fictitious 
yield rate, and allowed the producer to report fictitious actual yield 
rates on their insurance application. 

On August 30, 2004, the agents pled guilty to one count of conspiracy 
to submit false statements to RMA. Both agents were sentenced to a 
year's probation and ordered to pay fines of $5,000 and $2,000, 
respectively. 

Case 7: 

OIG followed up on an FSA referral that an Ohio producer reported 
different crop yields to FSA and RMA. The producer filed four false 
crop insurance claims and received payments totaling approximately 
$19,000 between May and December 1999. The producer claimed losses for 
crops that he did not own. The producer also inflated an insurance 
claim for a loss on his corn crop. 

In September 2004, the producer pled guilty to one count of making a 
false insurance claim. He was sentenced to 24 months probation, 40 
hours of community service, and ordered to pay $2,899 in restitution. 

Case 8: 

This case involves fraudulent crop insurance and farm program payments 
and was triggered by a fraud investigation following a bankruptcy 
filing in July 2000. Between 1997 and 2003, an Iowa couple, aided by 
other family members, friends, and employees, executed fraud schemes 
that resulted in crop insurance payments of $912,364.[Footnote 29] The 
co-conspirators made false representations. Specifically, they falsely 
certified to: 

* a prevented planting loss of 1,478 acres in corn and soybeans in 
several counties because of excessive moisture; they received about 
$100,000 in claims payments; and satellite imagery and testimonial 
evidence later confirmed that this claim was false; and: 

* a loss of approximately 332 acres of soybeans in one county in Iowa 
when, in fact, satellite imagery evidence indicated only approximately 
71 acres of soybeans was planted; $17,000 was paid on this claim; and 
RMA also paid $88,000 for false crop losses in three other counties in 
2001. 

During this period, the family was also submitting false claims for 
crop disaster assistance and received $86,000 in payments. 

The investigation is continuing, although the co-conspirators have pled 
guilty to some charges, agreed to pay restitution in some instances, 
and are barred from participating in USDA's farm programs. Officials 
involved in the investigation and prosecution of this case note that 
these fraudulent activities were facilitated by the direct 
participation of the crop insurance agent who provided the policy to 
the couple. 

[End of section] 

Appendix VI: Comparison of Loss Ratios for Crop Development and 
Expansion Products: 

Dollars in millions. 

Newly developed products: 

Apple quality option; 
Years with data: 2001-2003; 
Total premium: $ 1.7; 
Liability: $ 19.9; 
Claims paid: $ 4.4; 
Loss ratio: 2.6. 

Avocados; 
Years with data: 1998-2003; 
Total premium: $23.1; 
Liability: $148.3; 
Claims paid: $1.9; 
Loss ratio: 0.1. 

Blueberries; 
Years with data: 2000-2003; 
Total premium: $6.7; 
Liability: $81.4; 
Claims paid: $3.2; 
Loss ratio: 0.5. 

Cherries; 
Years with data: 1999-2003; 
Total premium: $22.7; 
Liability: $247.7; 
Claims paid: $22.2; 
Loss ratio: 1.0. 

Livestock; 
Years with data: 2002-2003; 
Total premium: $4.2; 
Liability: $89.7; 
Claims paid: $6.2; 
Loss ratio: 1.5. 

Malting barley option B[A]; 
Years with data: 1998-2003; 
Total premium: $14.0; 
Liability: $132.9; 
Claims paid: $38.7; 
Loss ratio: 2.8. 

Pecan-revenue; 
Years with data: 1998-2003; 
Total premium: $16.9; 
Liability: $207.0; 
Claims paid: $7.1; 
Loss ratio: 0.4. 

Rangeland-group risk plan; 
Years with data: 1999-2003; 
Total premium: $6.9; 
Liability: $154.9; 
Claims paid: $29.5; 
Loss ratio: 4.3. 

Sweet potatoes; 
Years with data: 1998-2003; 
Total premium: $11.6; 
Liability: $126.3; 
Claims paid: $47.0; 
Loss ratio: 4.1. 

Watermelons; 
Years with data: 1999; 
Total premium: $8.8; 
Liability: $67.1; 
Claims paid: $51.1; 
Loss ratio: 5.8. 

Wheat-income protection; 
Years with data: 1998-2003; 
Total premium: $7.9; 
Liability: $68.8; 
Claims paid: $31.4; 
Loss ratio: 4.0. 

Expansion products: 

Onions in Georgia; 
Years with data: 1998-2003; 
Total premium: $15.2; 
Liability: $151.5; 
Claims paid: $21.8; 
Loss ratio: 1.4. 

Forage in Minnesota; 
Years with data: 1998-2003; 
Total premium: $4.5; 
Liability: $68.3; 
Claims paid: $10.3; 
Loss ratio: 2.3. 

Soybeans in Oklahoma; 
Years with data: 1999-2003; 
Total premium: $1.2; 
Liability: $6.0; 
Claims paid: $5.0; 
Loss ratio: 4.2. 

Onions in Texas; 
Years with data: 1998-2003; 
Total premium: $16.4; 
Liability: $119.1; 
Claims paid: $31.5; 
Loss ratio: 1.9. 

Peanuts in Texas; 
Years with data: 1998-2002; 
Total premium: $1.8; 
Liability: $11.9; 
Claims paid: $8.4; 
Loss ratio: 4.6. 

Source: RMA. 

[A] Malting barley option B provides producers who grow malting barley 
under contract with a brewer additional price and quality insurance 
beyond feed barley coverage. 

[End of table] 

[End of section] 

Appendix VII: Comments from the U.S. Department of Agriculture: 

USDA: 

United States Department of Agriculture: 
Office of the Secretary: 
Washington, D.C. 20250: 

Mr. Robert A. Robinson: 
Managing Director, Natural Resources and Environment: 
Government Accountability Office: 
Washington, DC: 

Dear Mr. Robinson: 

Attached is the Farm and Foreign Agricultural Service's (FFAS) response 
to the draft report titled, "CROP INSURANCE: Actions Needed to Reduce 
Program's Vulnerability to Fraud, Waste, and Abuse." Thank you for the 
opportunity to provide comments. If you have any questions regarding 
our response, please contact Alan Sneeringer at 202-720-8813. 

Sincerely, 

Signed by: 

J.B. Penn: 
Under Secretary: 
Farm and Foreign Agricultural Service: 

Attachment: 

U.S. Department of Agriculture Statement of Action on the U.S. 
Government Accountability Office Draft Report GAO-05-528, "Crop 
Insurance: Actions Needed to Reduce Program's Vulnerability to Fraud, 
Waste, and Abuse: 

September 13, 2005: 

Federal crop insurance protects producers against financial losses 
caused by natural disasters. The United States Department of 
Agriculture's (USDA) Risk Management Agency (RMA) administers this 
program with private insurers. During this study, GAO assessed the 
effectiveness of USDA's processes to address fraud, waste, and abuse in 
the program and the extent to which program design may make the program 
vulnerable to abuse. As a result of the study, GAO recommends that 
Congress consider the reduction of premium subsidies to producers who 
repeatedly file questionable claims. GAO also developed eight 
recommendations for USDA. The following addresses those 
recommendations. 

General Comments: 

The USDA and RMA would like to thank the GAO for the opportunity to 
review this draft and for the work done by the auditors to assess the 
Federal crop insurance program and recommend changes for improving the 
controls on waste, fraud, and abuse. Following are some general 
comments as well as specific comments to each of your recommendations. 

The current draft letter to Chairman Collins, as well as the 
"Highlights" section of the report, contains certain information, 
references, and conclusions that should be corrected prior to issuing 
the report to avoid possible confusion by the reader. In listing the 
four major findings, RMA takes exception in part to the second and 
fourth items. 

Regarding "RMA's data analysis excludes the largest farming 
operations", the text would lead readers to believe that data mining 
excludes these policies altogether as opposed to the fact that GAO is 
recommending that we improve our ability to detect errors in reporting 
interests in farming operations. Furthermore, the highlight statement 
unequivocally states that these entities "received $74 million in 
fraudulent claim payments". RMA agrees that the data mining protocol 
needs to be improved to assess interest discrepancies between RMA and 
FSA, but we were not provided information that would indicate GAO 
actually validated "fraudulent" activity on the 21,000 policies. RMA 
had several discussions with GAO regarding the general misconception 
that because a policy is identified as being anomalous it does not mean 
that the policyholder did anything wrong. The statement incorrectly 
maligns these producers without the benefit of a review. GAO's own 
analysis in this case shows that several thousand policies had 
identification numbers that did not match because the number was off by 
a single digit. RMA experience would indicate that the vast majority of 
these cases can be attributed to data entry error and are not 
"fraudulent" in any sense of the word. RMA will conduct some 
preliminary validation tests on the data obtained from GAO prior to 
sending these policies to the companies for review. 

The fourth bullet in the "Highlights" section of the report could also 
mislead the reader as it indicates that RMA imposed sanctions on 114 
cases over four years out of some 3,000 questionable claims identified 
annually through data mining. The 3000 "suspicious" policyholders were 
identified based on their historical claim activity. The claims used to 
identify the producers are not necessarily fraudulent nor is there any 
information to indicate that they are suitable for sanctions. As stated 
above, there is a general misconception that policies identified as 
anomalous are in error. In fact, identified anomalies must be validated 
and are subject to further review and scrutiny at several levels before 
they would be considered for sanctions. By law, RMA must have specific 
evidence to prove every allegation of fraud and for every sanction. The 
spot-check list that is produced annually by our data mining contractor 
is used to pre-empt payments by monitoring anomalous producers 
throughout the growing season for the year they are identified. 
Presumably, when these producers are notified that they are being 
watched by FSA and RMA they change whatever behavior caused them to be 
anomalous, and their indemnities decrease. That has been our experience 
as noted by GAO, but since not paying a claim to a producer does not 
constitute an offense, the comparison of these numbers is 
inappropriate. Furthermore, the GAO draft report recognizes the delays 
that occur in the sanction process, so to compare policies identified 
during a specific timeframe to sanctions imposed on policies from prior 
crop years further compounds the misconception. This is discussed 
further the response to Recommendation 4 below. 

GAO Recommendation 1: 

Ensure that FSA field offices conduct all inspections called for under 
agency guidance. 

USDA Response: 

Resources are not available in FSA to complete 100% of the inspections 
referred by RMA. Because of FSA's budget cuts and the current staff 
reductions, it is reasonable to expect that it will not be possible to 
complete as much work for RMA as it has done in the past without 
additional funding for FSA. Unless funding is increased, RMA will 
continue to rely on FSA's local knowledge of producers and conditions 
in determining which inspections to conduct during the year. 

GAO Recommendation 2: 

Ensure that RMA informs FSA field inspectors of the suspect claim 
patterns that they are to investigate. 

USDA Response: 

Meetings were held between RMA and several State FSA Committees and FSA 
employee associations to present the results of the referral and spot 
check process, including the program cost savings associated with the 
results. The 2005 spot check list, submitted to the FSA State Offices 
and Insurance Providers, included the nature of suspected abuse. 

RMA and FSA will continue to work together on the spot check process to 
derive the maximum benefits from the resources expended in this effort. 
The partnership to improve program integrity between the two agencies 
and the insurance companies is recognized by all three parties as an 
effective tool in strengthening the crop insurance program. 

GAO Recommendation 3: 

Ensure that inspections are conducted in a timely manner, and that 
inspection results are reported expeditiously to insurance companies. 

USDA Response: 

Currently, RMA only provides the spot check list annually on April 1 of 
each year for both fall seeded and spring seeded crops. A meeting of 
the joint RMA/FSA Investigation/Referral Team held February 15, 2005, 
addressed this issue. Beginning with the 2006 insurance year, two 
separate lists will be generated to accommodate fall and spring planted 
crops. This will provide FSA with a timelier list for fall-seeded 
crops. 

Other areas of improvement discussed during the joint meeting included 
the development of a FTP or URL on the web that will allow both 
agencies to post findings of inspections electronically. Currently, 
referrals are sent by mail or faxed between agencies that can delay 
response time. The enhancement of a shared site will also allow the 
National FSA Office to monitor the status of completed inspections, as 
identified in this report. Inspection forms are also being modified to 
allow the use of GPS in documenting the location of where an inspection 
was completed so digital pictures can be documented by location. 

Insurance companies will also benefit from the above actions in terms 
of more complete and timely reports. 

GAO Recommendation 4: 

Promulgate regulations to implement its expanded authority under ARPA 
to impose sanctions. 

USDA Response: 

It has been suggested that RMA's lack of regulations to implement its 
expanded authority under ARPA is a critical impediment to imposing 
sanctions. This is incorrect. In fact, prior to ARPA, RMA had authority 
to disqualify producers for up to ten years, and used its suspension 
and debarment authority under 7 C.F.R. 3017 et seq. to deter fraud 
committed by producers and agents. In fact, the agency has been 
imposing sanctions under its ARPA authority each year since 2002. RMA 
has imposed a total of 67 Sanctions in 2004, an increase of over 300% 
over 2002 and 2003. In 2005, to date 15 sanctions have been imposed, 
with an additional 64 pending final disposition. Over two thirds of the 
pending cases are being considered under ARPA authority. In addition, 
there has been a learning curve, not only by RMA staff, but also by 
OGC. Since ARPA was enacted, adjustments to internal procedures have 
been necessary, but clearly, RMA has made significant and steady 
progress in both the numbers and types of sanctions imposed. Although 
promulgation of sanctions regulations will surely enhance RMA sanctions 
efforts, it is inaccurate to indicate that the lack of these 
regulations has prohibited RMA from currently using the ARPA-based 
authority to impose sanctions. 

As to the decline in the number of sanctions referrals, a learning 
curve was involved in preparing and referring ARPA-related sanctions. 
Following the enactment of ARPA, RMA Headquarters was inundated with 
referrals for potential sanctions cases from all of its Compliance 
offices, which were eager to test RMA's new authority. However, many 
cases simply did not meet the standards for a Sanctions case; and/or 
involved violations that had passed the statute of limitations. As 
Compliance field staff became more proficient at making referrals, the 
overall number of referrals declined. While fewer cases were referred 
in recent years, those cases which were referred were timely (within 
the statute of limitations) and legally sufficient to impose and defend 
any proposed sanctions. 

GAO Recommendation 5: 

Direct FSA to share producer-derived information with RMA for data 
mining purposes to administer and enforce the requirements of the crop 
insurance program. 

USDA Response: 

Even though the current RMA analysis during data mining might not 
contain data as a result of producers not following reporting 
requirements, the RMA and FSA data for producers and the reported 
shares were compared in the initial RMA/FSA attempts at data 
reconciliation. Numerous mismatches were determined. FSA researched and 
made applicable changes to their records and referred the remaining 
mismatches to RMA. 

It is a fact that data mining has been successful for RMA to perform 
analysis after the fact and to make projections. However, a process is 
being developed jointly by RMA and FSA to compare the data more 
immediately after being reported by producers. This eliminates the need 
to review the data after the fact. This process is being developed 
within the scope of the Common Component of the Common Information 
Management System (CIMS). Doing the comparison on a near "real time" 
basis versus months or years after the data is reported to the agencies 
will be more effective and efficient. 

The FSA database containing this information is currently accessible by 
both RMA and NRCS. Therefore, the GAO recommendation that the 
Administrators be directed to share the data is a moot point. It is 
being shared with NRCS. Under CIMS, it is anticipated that as data is 
reported to one agency, it will be compared to the data reported to the 
other agency, and a discrepancy report will be created for use by both 
agencies. This process will be validated in the near future in selected 
counties. 

As a result of the GAO work in this area, RMA intends to request the 
information from FSA in order to compare 2005 producer certifications 
and identify discrepancies for review. 

GAO Recommendation 6: 

Direct RMA to determine if payments have been made to ineligible 
producers or to entities that failed to disclose ownership interests 
and, if so, to recover the appropriate amounts. 

USDA Response: 

RMA agrees with the recommendation to determine if payments have been 
made to the 14 ineligible producers and will notify companies to 
recover any amounts due. RMA will also create a new application that 
will generate a weekly report to determine and identify policies that 
were previously accepted in RMA's system, but which were later 
determined by the company to be ineligible for the crop year for which 
the policies were accepted. Companies will be notified if any policies 
are identified. 

Due to the excessive numbers of policies with incorrect or missing 
entity interest information, RMA intends to conduct a preliminary 
review of a small number of policies to validate the information. 
Provided our review does not reveal any overt data-mining errors or 
issues, RMA will use the authority under the 2005 Standard Reinsurance 
Agreement to require the companies review their respective policies and 
correct any premium or indemnity payments as appropriate. 

GAO Recommendation 7: 

Direct RMA to strengthen its oversight of the insurance companies' 
implementation of the quality control review system. 

USDA Response: 

As an integral part of its review of a company's Plan of Operations, 
the Reinsurance Services Division (RSD) assesses the completeness and 
adequacy of Exhibit 22, which is a company's quality control plan. For 
2006, RSD stepped up the rigor with which it evaluates these plans by 
developing and using written evaluation procedures. As a result, 
several companies were required to revise their quality control plans 
before approval for the 2006 reinsurance year was granted. 

After RSD evaluates and approves a company's quality control plan, 
RMA's Compliance Office has the responsibility of detecting failures of 
a company to implement required quality control measures through 
National Operational Reviews. Any failures detected are brought to the 
attention of RSD. RSD then imposes sanctions or penalties on an 
insurance provider that are appropriate to the quality control 
failures. 

RSD is also strengthening its quality control oversight through the 
development and implementation of a quality performance indicator 
system. The development of such a system of performance indicators is 
nearing completion through a RMA-sponsored contract with Trivalent 
Solutions, Inc. of Arlington Heights, IL. Once this system is 
operational, RMA will have information that will allow it to detect 
potential quality problems with individual companies. RSD will be able 
to identify potential problems to investigate and address in some cases 
well before discovery through a national operational review. 

GAO Recommendation 8: 

Direct RMA to reduce the insurance guarantee or eliminate optional unit 
coverage for producers who consistently have claims that are irregular 
in comparison with other producers growing the same crop in the same 
location. 

USDA Response: 

RMA respectfully disagrees with the above-noted GAO recommendation, as 
it represents a disproportionate response considering the prevalence 
and importance of yield switching. Consider that in crop year 2003, RMA 
reinsured 1,241,491 Federal crop insurance policies. [NOTE 1] Of that 
number, a total of 395,889 policies (31.9%) were indemnified, a 
relatively typical percentage for the Federal Crop Insurance program. 
Of the almost 396,000 indemnified policies, RMA identified a total of 
2,371 suspicious claims, or 0.60% of the total number of indemnified 
policies and only 0.19% of the total number of policies in force. Of 
the 2,371 suspicious claims, 273 had patterns consistent with yield 
switching activity, i.e., 0.07% of total number of indemnified policies 
and 0.02% of the total number of policies in force. GAO's 
recommendation is targeted at a group of policyholders that constitute 
only 0.02% of BMA's business. RMA also notes that the unit division 
study [NOTE 2] by Drs. Knight and Coble clearly supports the low 
incidence of yield switching activity among policyholders. The study 
also indicates that the current 10% premium surcharge is actuarially 
appropriate for the additional indemnities that are attributable to 
optional units. This relatively modest surcharge provides further 
evidence that the RMA has effective underwriting rules and monitoring 
programs for use of optional units. 

Secondly, RMA does not believe that adoption of the GAO recommendation 
represents a prudent and cost-effective use of Agency resources or 
taxpayer funds. In order for RMA to reduce the guarantee or eliminate 
optional unit coverage for producers whose yield history evidences 
possible yield switching activity, as per the GAO recommendation, RMA 
would have to either: 

1. Promulgate criteria that will invariably have a negative impact on a 
much larger number of growers whose losses are likely legitimate; or: 

2. Gather sufficient evidence that an individual insured has engaged in 
yield switching activities to support the penalty upon appeal by the 
insured. 

The second option, however, is not particularly realistic because once 
the needed evidence was obtained, RMA would more likely use it to 
pursue a criminal case for fraud against the insured or alternately, 
administrative sanctions, rather than simply impose the penalties 
recommended by GAO. To gather such evidence requires RMA to devote 
substantial resources to each suspect claimant, including the necessity 
of conducting a pre-harvest appraisal - potentially applying to about 
0.02% of RMA's business. Because of the impact on RMA resources, the 
Agency generally requires strong indications of egregious violations 
before an in-depth investigation is launched. Once it does so, the more 
meaningful approach is that of pursuing criminal or civil penalties for 
fraud rather than "black listing" for a potential forfeiture of 
optional units or a reduced guarantee, both of which can be averted by 
a change in entity. 

NOTES: 

[1] RMA Summary of Business, data as of August 29, 2005. 

[2] "Unit Division Structure Review", Tom Knight, Barry Goodwin, Keith 
Coble, Roderick Rejesus, Contract Number GS-23F-0167K, completed 
January 23, 2004. 

These comments reflect RMA's prior experience gained from the attempt 
to implement a similar procedure in the early 1990s. Revisiting this 
intrinsically flawed endeavor, as recommended by GAO, would not appear 
to be prudent or cost-effective. 

Other Comments: 

As discussed, RMA will provide you with technical comments to the draft 
separately. 

The following are GAO's comments on the letter from the U.S. Department 
of Agriculture dated September 15, 2005. 

GAO Comments: 

1. We have clarified the language in the Highlights section of this 
report to note the distinctions in the analyses. As we state in this 
report, the U.S. Department of Agriculture's (USDA) Risk Management 
Agency (RMA) is using data mining to administer and enforce the crop 
insurance program and to analyze patterns that suggest fraudulent 
activity, such as unusually high or frequent claims payments. However, 
RMA's analysis is incomplete with regard to the largest farming 
operations--those that include multiple partnerships and joint 
ventures. RMA's analysis excludes comparisons of farming operations' 
reported ownership interest with data that has been validated by USDA's 
Farm Service Agency (FSA). Because it does not know the ownership 
interests in these farming operations, RMA cannot readily identify 
potential fraud. For example, producers who are members of more than 
one farming operation may have the opportunity to move production from 
one operation to another to file unwarranted claims, without RMA's 
knowledge that these producers participate in more than one farming 
operation. 

2. We have changed the text in the Highlights section to more 
accurately reflect our findings, deleting the term "fraudulent." As 
detailed in this report, RMA regulations require policyholders to 
report individuals and entities with a beneficial interest in their 
farming operation. If a policyholder fails to disclose an ownership 
interest, then the policyholder must repay the amount of the claims 
payment that is proportionate to the interest of the person that was 
not disclosed. Our findings indicate that USDA should be able to 
recover up to $74 million in such claims payments for 2003. 

3. We have clarified the language in the Highlights section. We 
recognize in this report that the annual spot-check list of 3,000 
questionable claims is used to prevent unwarranted claims payments by 
monitoring anomalous producers during the growing season for the year 
they are identified. The 3,000 questionable claims represent producers 
who consistently file claims and receive payments that are irregular in 
comparison with other producers growing the same crop in the same 
location. While not all of these policy irregularities are necessarily 
sanctionable, the 3,000 questionable claims provide a general reference 
in comparison with the 114 sanctions RMA imposed from 2001 through 
2004. 

4. The Agricultural Risk Protection Act of 2000 (ARPA) requires the 
Secretary of Agriculture to develop and implement a coordinated plan 
for FSA to assist RMA in the ongoing monitoring of the crop insurance 
program, including conducting fact-finding into allegations of program 
fraud, waste, or abuse and reporting the results of any such fact- 
finding to RMA. USDA guidance states that FSA county offices are to 
conduct growing season inspections on the larger of the first 10 
producers or the top 5 percent of the producers identified by RMA. 
However, as we report, FSA conducted only 64 percent of the monitoring 
inspections RMA requested between 2001 and 2004, and FSA offices in 
nine states did not conduct any of the inspections RMA requested in one 
or more of these years. Given the potentially high payoff from 
assisting RMA in monitoring the crop insurance program and conducting 
inspections, FSA may want to conduct a study to determine the costs and 
benefits of making staff available for crop insurance inspections. 

5. We agree that RMA has imposed sanctions since the enactment of ARPA. 
However, we continue to believe RMA has not fully exercised its new 
authority. Under ARPA, RMA has the authority to impose sanctions on 
agents, loss adjusters, approved insurance providers, and others who 
willfully and intentionally (1) provide false or inaccurate information 
or (2) fail to comply with other Federal Crop Insurance Corporation 
(FCIC) requirements. The number of sanctions imposed by RMA has not 
increased appreciably since enactment of ARPA. For example, RMA imposed 
an average of less than 20 sanctions annually from 1996 to 2000, and an 
average of less than 20 sanctions annually from 2001 to 2005, except 
for 2004 (67), which was an aberration. While not all questionable 
claims are necessarily sanctionable, RMA has identified about 3,000 
questionable payments annually since beginning data mining in 2001. 

In discussing this report's findings with RMA in April 2005, officials 
told us that the number of sanctions has not substantially increased, 
in part because regulations have not been promulgated under ARPA. 
According to an official in USDA's Office of General Counsel, RMA had 
imposed sanctions under the provisions of ARPA that were similar to 
RMA's previous authority to impose sanctions. RMA had authority, prior 
to ARPA, to impose sanctions on individuals who willfully and 
intentionally provide false information and had promulgated regulations 
for imposing sanctions on this basis. (See 7 C.F.R. §§ 400.454, 718.11, 
and 1405.8.) However, according to this official, it had not imposed 
any sanctions under its new authority to do so for failure to comply 
with an FCIC program requirement. This official indicated that 
regulations were needed to establish what constituted an FCIC 
requirement, how USDA will determine that a material violation has 
occurred, and what process would be followed before imposing sanctions. 
USDA does not dispute the report's findings that no sanctions have been 
imposed under this provision of ARPA. 

6. Our recommendation that FSA share producer-derived information with 
RMA for data mining to administer and enforce the requirements of the 
crop insurance program is based on a current lack of information 
sharing between FSA and RMA. As we report, many farming operations do 
not always certify individuals or entities who hold or acquire a 
beneficial interest of 10 percent or more in the insured operation, as 
required by RMA regulations. RMA was unaware that these entities had 
failed to fully disclose ownership interest because it had not been 
given access by FSA to the data file identifying a producer's ownership 
interest in other farming operations. Furthermore, although USDA is 
developing a system--called the Common Information Management System--
-to allow FSA and RMA to share producer information, as of September 
2005, USDA had not decided whether the data elements necessary to 
identify a producer's ownership interest in a farming operation would 
be included in the new system. Therefore, we continue to believe that 
FSA needs to make this information available to RMA and that RMA should 
conduct data mining on this information to identify producers having a 
pattern of anomalous claims payments. 

7. Our recommendation is directed at providing RMA with an additional 
tool to address producers who seem to experience losses year after year 
when other similarly situated producers do not. Such a tool would 
complement RMA's current focus on preventing producers from committing 
future abuses by providing an incentive to not commit the abuse in the 
first place. For example, eliminating optional unit coverage for a year 
for a producer who exhibits a clear pattern of yield switching, as we 
present in this report, would discourage the abuse. Removing the means 
that enables a producer to commit abuse may act as a deterrent. 

Furthermore, the costs of fraud, waste, and abuse to the crop insurance 
program from farms with optional units can be significant, according to 
a 2002 RMA study.[Footnote 30] The study estimated the additional 
indemnities associated with fraud, waste, and abuse were $131 million 
for 1996 to 2000 for farms insuring with optional units on wheat and 
barley in North Dakota and cotton in west Texas. We agree with USDA 
that the number of policies identified annually as having patterns 
consistent with yield switching is small in comparison with the number 
of policies in the crop insurance program. However, we believe it is 
possible to narrowly tailor an underwriting rule so that it would 
target only a few producers each year and would entail few resources. 
Such a rule would also reduce reliance on RMA's broad-brush approach of 
assessing a 10 percent premium surcharge on all producers with optional 
units to cover the additional indemnities that are attributable to 
optional units. Thus, we continue to consider it reasonable for RMA to 
reduce the insurance guarantee or eliminate optional unit coverage for 
producers who consistently have claims that are irregular in comparison 
with other producers growing the same crop in the same location. 

[End of section] 

Appendix VIII: GAO Contact and Staff Acknowledgments: 

GAO Contact: 

Robert A. Robinson (202) 512-3841: 

Staff Acknowledgments: 

In addition to the individual named above, Jeanne Barger, Thomas Cook, 
Ronald E. Maxon Jr., Lynn Musser, Carol Herrnstadt Shulman, and Amy 
Webbink made key contributions to this report. Important contributions 
were also made by Stephen Brown and Paul Desaulniers. 

We also wish to give special tribute to our dear friend and colleague, 
Cleofas Zapata Jr., who died tragically near the conclusion of our 
work. Cleo dedicated his life to public service, first as a member of 
the U.S. Air Force, and then as an analyst for 24 years with GAO. 
Cleo's career with GAO was characterized by his strong desire to make 
government programs more effective and efficient and to weed out fraud, 
waste, and abuse. But it was his humor, kindness, and respect for all 
human beings that inspired his co-workers, who held him in the highest 
esteem and miss him greatly. 

[End of section] 

Related GAO Products: 

Crop Insurance: USDA Needs to Improve Oversight of Insurance Companies 
and Develop a Policy to Address Any Future Insolvencies. 
[Hyperlink, http://www.gao.gov/cgi-bin/getrpt?GAO-04-517] 
Washington, D.C.: June 1, 2004. 

Crop Insurance: USDA Needs a Better Estimate of Improper Payments to 
Strengthen Controls of Claims. 
[Hyperlink, http://www.gao.gov/cgi- bin/getrpt?GAO/RCED-99-266] 
Washington, D.C.: September 22, 1999. 

Crop Insurance: USDA's Progress in Expanding Insurance for Specialty 
Crops. 
[Hyperlink, http://www.gao.gov/cgi-bin/getrpt?GAO/RCED-99-67] 
Washington, D.C.: April 16, 1999. 

Crop Insurance: Federal Program Faces Insurability and Design Problems. 
[Hyperlink, http://www.gao.gov/cgi-bin/getrpt?GAO/RCED-93-98] 
Washington, D.C.: May 24, 1993. 

Crop Insurance: Program Has Not Fostered Significant Risk-Sharing by 
Insurance Companies. 
[Hyperlink, http://www.gao.gov/cgi-bin/getrpt?GAO/RCED-92-25] 
Washington, D.C.: January 13, 1992. 

(360445): 

FOOTNOTES 

[1] According to the USDA Inspector General, fraud is commonly 
perpetrated through false certification of one or more of the basic 
data elements essential for determining program eligibility and amounts 
of benefits. In RMA cases, the scheme typically involves a conspiracy 
between an insurance company representative and a producer. Abuse is 
more subjective and occurs when a participant's actions defeat the 
intent of the program, although no law, regulation, or contract 
provision is actually violated. Waste, on the other hand, occurs when 
there are flaws in the program design that inevitably invite abuse by 
the program participants. GAO has previously reported on the potential 
for fraud, waste, and abuse in the federal crop insurance program. See 
Related GAO Products. 

[2] Pub. L. No. 107-300, 116 Stat. 2350 (2002). 

[3] In general, RMA permits producers to establish optional units by 
land section or FSA farm serial number and by irrigated and 
nonirrigated practices. Optional units may be established only if each 
optional unit is located on noncontiguous land, unless otherwise 
allowed by written agreement. In addition, producers who insure all 
their fields together in a basic unit receive a 10 percent discount on 
the premium they pay. 

[4] Additionally, ARPA requires USDA to subsidize revenue insurance 
products at the same rate as the level of subsidy provided for a basic 
crop insurance policy. Revenue insurance products provide coverage to 
producers against lost revenues (or incomes) caused by low prices, low 
yields, or a combination of low prices and low yields. An indemnity is 
paid to a producer when any combination of yield and price results in 
revenue that is less than a pre-specified revenue guarantee. 

[5] FSA/RMA Handbook, FCIC Program Integrity, 4-RM. 

[6] FSA/RMA Handbook, FCIC Program Integrity, 4-RM. The final planting 
date is the date contained in the special provisions for the insured 
crop by which the crop must initially be planted in order to be insured 
for the full production guarantee or the amount of insurance per acre. 

[7] A company official stated that because this producer was on the 
spot-check list, the company had contacted the local FSA office at the 
beginning of the growing season requesting copies of growing season 
inspection reports when they were completed. However, the company did 
not follow up with FSA at the end of the growing season. In addition, 
although the company received RMA's referral too late to conduct 
preharvest appraisals, the company received the information before the 
producer filed the claim (December 2, 2003) and company paid it 
(January 16, 2004). However, it does not appear that the company used 
the referral information to question the producer's claim. 

[8] The Center for Agribusiness Excellence conducted this analysis at 
the request of GAO. The Center, located at Tarleton State University in 
Stephenville, Texas, provides research, training, and resources for 
data warehousing and data mining of agribusiness and agriculture data. 
The Center provides data mining of crop insurance data for RMA. 

[9] 7 C.F.R. § 457.8. 

[10] In addition, RMA guidance Manual 14, Guidelines and Expectations 
for Delivery of the Federal Crop Insurance Program states that 
insurance companies must conduct conflict-of-interest reviews for all 
crop insurance claims of individuals directly associated with the 
federal crop insurance program. However, without knowledge that these 
insurance agents held a substantial beneficial interest of 10 percent 
or more in entities that received claims payments, insurance companies 
may not have conducted the reviews in 2003 and 2004. As of August 2005, 
RMA could not confirm that these reviews had been conducted. 

[11] We also identified an additional 12 claims adjusters who adjusted 
13 policies in 2003 and 2004 with claims payments of $173,292 for 
farming operations in which they held a beneficial interest of 10 
percent or more and who disclosed this information to RMA. In May 2005, 
we referred the names of these 12 adjusters to RMA for further 
investigation. RMA found that 11 of the adjusters did not adjust 
policies for farming operations in which they held a beneficial 
interest, but that erroneous information in RMA's databases made it 
appear that the adjusters had engaged in conflict-of-interest 
activities. As of August 2005, RMA had not completed its investigation 
for the remaining claims adjuster. 

[12] RMA Loss Adjustment Manual (LAM) Standards Handbook, 2003 and 
Succeeding Years. 

[13] Final Research Report For Multiple Year Coverage, Task Order # RMA-
RED-01-06, Watts and Associates, Inc., June 27, 2002. 

[14] See U.S. Department of Agriculture, Office of Inspector General, 
Monitoring of RMA's Implementation of Manual 14 Reviews/Quality Control 
Review System, Audit Report No. 05099-14-KC (Washington, D.C.: Mar. 15, 
2002). 

[15] GAO, Crop Insurance: USDA Needs a Better Estimate of Improper 
Payments to Strengthen Controls of Claims, GAO/RCED-99-266 (Washington, 
D.C.: Sept. 22, 1999). 

[16] The federal government has sought indictments based on a 
conspiracy to defraud the government or making false statements to the 
federal government under 18 U.S.C. § 371 and 18 U.S.C. § 1014, 
respectively. 

[17] See Office of Management and Budget, Financial Management Systems, 
Circular No. A-127 Revised, (Washington, D.C.: July 23, 1993). 

[18] New participants, who have no history of production in the crop 
insurance programs, get assigned the county average yield for 
determining their insurance guarantee, which also affects their premium 
costs. 

[19] NASS collects and reports production data for major crops in most 
counties nationwide. RMA uses these data to establish a normal crop 
yield. 

[20] RMA regulations state that optional units are not available to a 
producer who does not provide acceptable production reports for at 
least the most recent crop year. 

[21] Final Research Report For Multiple Year Coverage, Task Order # RMA-
RED-01-06, Watts and Associates, Inc., June 27, 2002. 

[22] 7 C.F.R. § 457.8. 

[23] USDA Risk Management Agency, New Program Development Handbook, 
FCIC-23010, October 1997. 

[24] For example, in 1999, RMA introduced a program for sweet cherries, 
which had not previously been eligible for crop insurance. RMA had 
experience with the other five products we reviewed but expanded these 
products to new counties in selected states. For example, in 1998, RMA 
expanded crop insurance on onions in Texas to producers in 11 new 
counties that previously did not have the option of insurance for this 
crop. 

[25] See U.S. Department of Agriculture, Office of Inspector General, 
Risk Management Agency Viability of Fall Watermelons in Texas and Their 
Inclusion in the 1999 Watermelon Insurance Pilot Program, Audit Report 
No. 05601-8-Te (Washington, D.C.: Sept. 30, 2002). 

[26] See U.S. Department of Agriculture, Office of Inspector General, 
Risk Management Agency Survey of Pilot Programs, Audit Report No. 05601-
12-Te (Washington, D.C.: May 24, 2005). 

[27] In addition to responding to our survey questions, many of these 
field officials also provided us with written comments. Because these 
written comments were voluminous, they have not been included in 
appendix III. 

[28] In addition to responding to our survey questions, many of these 
insurance agents provided us with written comments. Because these 
written comments were voluminous, they have not been included in 
appendix IV. 

[29] These producers and others also received $746,700 in federal farm 
program benefits through fraudulent schemes. 

[30] Final Research Report For Multiple Year Coverage, Task Order # RMA-
RED-01-06, Watts and Associates, Inc., June 27, 2002. 

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