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FEBRUARY <strong>2012</strong> • VOL. 45, NO. 1<br />

Explaining the Costs<br />

of the <strong>Crop</strong> <strong>Insurance</strong> Program<br />

Committee Sees Research<br />

First Hand<br />

Trade Talk 2011<br />

P U B L I C A T I O N O F N A T I O N A L C R O P I N S U R A N C E S E R V I C E S ®


Committed to you<br />

RCIS AGENTS GET OUR VERY BEST EVERY DAY—AND IT SHOWS. FROM OUR<br />

COMMITMENT TO BETTER TECHNOLOGY TO DEDICATED FIELD STAFF THAT KNOW<br />

THEIR CROPS AND THE PRODUCERS WHO GROW THEM. WE PARTNER WITH YOU<br />

TO INSURE AMERICA’S PRODUCERS. GO TO RCIS.COM TO LEARN MORE.<br />

We grow stronger every day—together SM<br />

Rural Community <strong>Insurance</strong> Agency, Inc., D/B/A RCIS. RCIS is an equal opportunity provider. © <strong>2012</strong> Rural Community <strong>Insurance</strong> Agency, Inc. All rights reserved.


TODAYPRESIDENT’S MESSAGE<br />

Isn’t there an<br />

App for that?<br />

Laurie Langstraat, Editor<br />

TODAY IS PROVIDED AS A SERVICE OF<br />

NATIONAL CROP INSURANCE SERVICES ®<br />

TO EDUCATE READERS ABOUT THE RISK<br />

MANAGEMENT TOOLS PRODUCERS USE<br />

TO PROTECT THEMSELVES FROM<br />

THE RISKS ASSOCIATED WITH<br />

PRODUCTION AGRICULTURE.<br />

TODAY is published quarterly–<strong>February</strong>, May,<br />

August, and November by<br />

<strong>National</strong> <strong>Crop</strong> <strong>Insurance</strong> <strong>Services</strong><br />

8900 Indian Creek Parkway, Suite 600<br />

Overland Park, Kansas 66210<br />

If you move, or if your address is incorrect,<br />

please send old address label clipped from recent issue<br />

along with your new or corrected address to<br />

Laurie Langstraat, Editor, at the above address.<br />

NCIS Website: http://www.ag-risk.org<br />

NCIS ® EXECUTIVE COMMITTEE<br />

Steve Rutledge, Chairman<br />

Ted Etheredge, Vice Chairman<br />

Tim Weber, Second Vice Chairman<br />

NCIS ® MANAGEMENT<br />

Thomas P. Zacharias, President<br />

P. John Owen, General Counsel<br />

James M. Crist, CFO/COO<br />

Frank F. Schnapp, Senior Vice President<br />

Mike Sieben, Senior Vice President<br />

Creative Layout and Design<br />

by Graphic Arts of Topeka, Inc., Kansas<br />

Winner of The Golden ARC Award<br />

Printed on recycled paper.<br />

Over the past twelve to eighteen months,<br />

many of us have been in the process of making<br />

the transition to the iPad or similar tablet-based<br />

computers. As we embrace this new technology,<br />

we have become increasingly exposed to the<br />

somewhat Brave New World of “applications,“<br />

commonly referred to as “apps.”<br />

So, what is an “app” - how do they work;<br />

what do they do? On a very basic level, apps are<br />

simply software designed to perform specific<br />

functions or computational operations. In the<br />

tablet environment, apps run the course of file<br />

management systems, office and personal<br />

productivity systems, calorie counters, etc. - you<br />

Tom Zacharias, NCIS President<br />

name it.<br />

Now, the stretch...what if we APPly this<br />

thought process to agricultural risk management and agricultural policy. Just suppose we<br />

needed to develop an infrastructure to provide financial stability and risk management<br />

tools for our nation’s farmers and ranchers. Suppose we wanted to combine the strengths<br />

of both the public and private sector to create such an infrastructure that would provide<br />

comprehensive risk management coverage to the majority of food and fiber crops found<br />

in the U.S. Hmm…let me think, isn’t there an app for that? Wow, Inspector Gadget?!?!<br />

What about the crop insurance program? Since the 1980s this public - private partnership<br />

has continually expanded to become the centerpiece of the agricultural safety net for U.S.<br />

farmers and ranchers.<br />

If this “app” is going to work, we would need to make sure that farmers get enrolled<br />

in the program, purchase adequate levels of coverage, and are aware of the various types<br />

of crop insurance products available. Isn’t there an app for that? Hmm...what about the<br />

nationwide network of state-licensed crop insurance agents? These hard working men<br />

and women scattered throughout rural America do just that. In 2011, the agency force<br />

enrolled more than 264 million acres, providing over $113 billion in crop insurance<br />

protection on over 1.1 million policies.<br />

Well, it just so happened that in 2011 we experienced major flooding and levee breaks<br />

along both the Mississippi and Missouri River systems. According to RMA, more than<br />

800,000 acres of cropland was flooded in 2011 in Missouri, Nebraska and Kansas (Rebecca<br />

Davis, Topeka RO - January 29, <strong>2012</strong>). More pervasive and more devastating, in terms of<br />

impacted acres than the flooding, was the widespread drought experienced in the<br />

Southwest and Southern Plains. With all of those flooded and drought-stressed acres covered<br />

by crop insurance, how are farmers going to get paid in a timely basis for their<br />

insured losses? Isn’t there an app for that? Hmm…How about the nationwide network of<br />

Continued on page 34<br />

CROP INSURANCE TODAY ® 1


VOL. 45, NO. 1<br />

FEBRUARY <strong>2012</strong><br />

Table of Contents<br />

1 Isn’t there an App for that?<br />

4 Explaining the Costs of the <strong>Crop</strong> <strong>Insurance</strong> Program<br />

12 NCIS Awards Two Scholarships<br />

4<br />

14 <strong>2012</strong> Spring Update Conference<br />

16 Committee Sees Research First Hand<br />

18 Trade Talk 2011<br />

20 Retirements: Ben Latham and Steve Harms<br />

22 In Memory of Patrick Flanagan<br />

24 In Memory of Marx M. Mannberger<br />

26 Step 5-Testing the Current Farm:<br />

Will the current farm be feasible in the future?<br />

16<br />

32 2011 Premiums: State Rankings<br />

38 Insurable <strong>Crop</strong>s: Locations & Plans<br />

Visit<br />

www.cropinsuranceinamerica.com<br />

26<br />

Copyright Notice<br />

All material distributed by <strong>National</strong> <strong>Crop</strong> <strong>Insurance</strong> <strong>Services</strong> is protected by copyright and other laws. All rights reserved.<br />

Possession of this material does not confer the right to print, reprint, publish, copy, input, transform, distribute or use same<br />

in any manner without the prior written permission of NCIS. Permission is hereby granted to Members in good standing of<br />

NCIS whose Membership Class (and service area, if membership is limited by service area) entitles them to receive copies<br />

of the enclosed or attached material to reprint, copy or distribute such NCIS copyrighted material in its present form<br />

solely for their own business use and solely to employees, adjusters or agents who are under contract with them, and<br />

as a condition to receiving such copies, such employees, adjusters and agents agree that they will not reprint, copy or<br />

distribute, or permit use of any such NCIS copyrighted material to or by any other person and/or company, or transform<br />

into another work such NCIS copyrighted material, without prior written permission of NCIS.<br />

© 2011 <strong>National</strong> <strong>Crop</strong> <strong>Insurance</strong> <strong>Services</strong>, Inc.


Making<br />

Cents<br />

of the<br />

Weather<br />

Weather forecasting is, by nature, inexact. Not even a trained meteorologist can<br />

accurately predict the weather with 100% certainty. On a daily basis, a farmer<br />

starts his morning with the goal of a successful harvest, but knows a devastating<br />

weather event seriously impacting production could instantly occur.<br />

This uncertainty means billions of dollars of crops are always at risk. This impacts<br />

not only the farmer’s livelihood, but food prices, fuel costs and national economies.<br />

Last year, crop insurance policies protected over $113 billion of crops. This makes<br />

good economic sense. Contact your ProAg agent to create a risk management plan<br />

that will provide you with the peace of mind and financial security you deserve.<br />

The Past, Present and Future of<br />

Agricultural Risk Management®<br />

Producers Ag <strong>Insurance</strong> Group, Inc., d/b/a ProAg ® , is a wholly owned subsidiary of<br />

CUNA Mutual Group. ProAg is an equal opportunity provider.<br />

© <strong>2012</strong> ProAg. All Rights Reserved.


TODAYcrop insurance<br />

Explaining the Costs<br />

of the <strong>Crop</strong> <strong>Insurance</strong> Program<br />

By Keith Collins and Frank Schnapp, NCIS<br />

This article examines the information<br />

typically presented to the public on the<br />

costs of the Federal crop insurance program.<br />

Government presentations, the<br />

source of most program cost data, range<br />

from simple to very complex. We believe<br />

that many presentations lead to misunderstanding<br />

of the role of payments made to<br />

approved insurance providers (AIPs), the<br />

companies that deliver the program to producers.<br />

Confusion about the financial data<br />

may lead to misunderstandings of the costs<br />

and benefits of the program to producers,<br />

taxpayers and the companies.<br />

A couple of examples illustrate the<br />

issue of interpreting program financial<br />

data. While the risks of underwriting gains<br />

and losses are shared between the government<br />

and the companies, the underwriting<br />

gains and losses of the government are seldom,<br />

if ever, presented. Often when the<br />

AIPs have a large underwriting gain, the<br />

government has one as well, which<br />

reduces the cost of the crop insurance program<br />

to the taxpayer. Another source of<br />

confusion is the vaguely labeled “administrative<br />

and operating expense reimbursement”<br />

that is paid to the companies to<br />

cover their costs to deliver the program,<br />

such as agent commissions, office space,<br />

equipment, etc. However, these payments,<br />

while a cost to the government, do not<br />

fully reimburse companies for their delivery<br />

expenses. Moreover, these payments,<br />

which are often seen as a subsidy to the<br />

AIPs, are more properly viewed as a subsidy<br />

to producers. This article presents<br />

financial data on the crop insurance program<br />

to help clarify these ambiguities.<br />

Federal Budget<br />

Presentations of <strong>Crop</strong><br />

<strong>Insurance</strong> Program Costs<br />

The Federal government presents data<br />

on the costs of Federal programs, including<br />

the crop insurance program, in a number<br />

of ways. To provide some background for<br />

those searching government data bases for<br />

crop insurance data, the following primary<br />

concepts are used in the Federal budget<br />

presentations:<br />

4 FEBRUARY <strong>2012</strong>


• Budget Authority: The authority of the<br />

Executive Branch to commit funds of<br />

the Federal Treasury. Congress provides<br />

this authority to agencies to spend<br />

funds to carry out programs as provided<br />

in law through annual appropriations<br />

acts and other legislation that<br />

authorizes spending.<br />

• Program Level: The gross value of all<br />

financial assistance provided to the<br />

public through a program. This assistance<br />

may be in several forms: grants;<br />

guaranteed or direct loans; cost-sharing;<br />

research, technical assistance or other<br />

services; or, in-kind benefits such as<br />

commodities. Program level may<br />

exceed actual spending when assistance<br />

provided does not result in<br />

spending. An example is a loan guarantee<br />

program where the program level is<br />

the value of all loans guaranteed, but<br />

the actual Federal spending may only<br />

be the payments made to lenders for a<br />

few defaulted loans.<br />

• Outlays: The actual cash spent from<br />

the Federal Treasury to meet the funding<br />

commitments of agencies. Outlays<br />

are less than budget authority when the<br />

agency does not spend all the funding<br />

it is authorized to spend in a fiscal year<br />

(FY). This may happen for a variety of<br />

reasons, such as ineligibility of expected<br />

beneficiaries or spending that is paid<br />

out over several fiscal years. Outlays are<br />

further divided into discretionary outlays<br />

and mandatory outlays.<br />

• Discretionary outlays: Cash spent<br />

under authority of the annual appropriations<br />

acts developed by the<br />

Congressional appropriations committees<br />

as part of the yearly appropriations<br />

process.<br />

• Mandatory outlays: Cash spent<br />

that is not controlled by the annual<br />

appropriation process. Mandatory<br />

outlays generally cannot be<br />

increased or decreased in a given<br />

year without a change in substantive<br />

law by the authorizing committees<br />

that have jurisdiction over the governing<br />

statute.<br />

For crop insurance, the data on these<br />

financial concepts are variously presented<br />

on a crop year, fiscal year, calendar<br />

year and reinsurance year basis for the<br />

Risk Management Agency (RMA) and the<br />

Federal <strong>Crop</strong> <strong>Insurance</strong> Corporation<br />

(FCIC). There are four important sources<br />

of budget information for the crop insurance<br />

program. The first of these is RMA<br />

itself, which presents tables on their<br />

website for crop years and fiscal years<br />

for “Government Costs of the <strong>Crop</strong><br />

<strong>Insurance</strong> Program, 2002-2011” with<br />

additional tables for “Premium and<br />

Other Income.” These are available at<br />

http://www.rma.usda.gov/aboutrma/<br />

budget/costsoutlays.html. The tables<br />

show direct outlays and some of direct and<br />

indirect income flows that relate to outlays.<br />

A second source is the USDA Office<br />

of Budget and Program Analysis<br />

(OBPA), which publishes the Budget<br />

CROP INSURANCE TODAY ® 5


Summary and Annual Performance<br />

Plan of all USDA agencies at<br />

http://www.obpa.usda.gov/budsum/<br />

FY12budsum.pdf. Summary data are presented<br />

for budget authority, program level<br />

and outlays. The third source is detailed<br />

budget explanations of each agency’s budget<br />

at http://www.obpa.usda.gov/explan_<br />

notes.html. The fourth source is the<br />

President’s Budget, available from the<br />

Office of Management and Budget. The<br />

crop insurance accounts are presented in<br />

detail in the Appendix to the Budget at<br />

http://www.whitehouse.gov/sites/<br />

default/files/omb/budget/fy<strong>2012</strong>/assets/<br />

agr.pdf. In addition, there are other<br />

sources, such as FCIC financial reports.<br />

These sources present an array of data<br />

that are made very complicated by use of<br />

alternative time periods and budget concepts.<br />

In some cases, a single table will<br />

mix crop year, fiscal year and budget concepts.<br />

A fiscal year includes data from two<br />

crop years, so it may be difficult to relate<br />

a fiscal year’s program costs to how natural<br />

disasters or price changes for one crop<br />

year show up in the data. Timing of payments<br />

and receipts also affect fiscal year<br />

data. To simplify our discussion here, we<br />

focus primarily on data closely associated<br />

with a crop year.<br />

The difference between the three<br />

budget concepts also needs to be considered.<br />

Because the crop insurance<br />

program has authority to spend funds as<br />

necessary to operate the program, “budget<br />

authority” is usually determined by<br />

and thus very similar to outlays. The<br />

concept of “program level” is essentially<br />

gross indemnities plus payments to<br />

companies, i.e., the gross assistance<br />

before producer-paid premiums are<br />

considered. The goal in this discussion<br />

is to present the cost of the crop insurance<br />

program as “outlays,” that is, direct<br />

spending associated with delivering the<br />

program and paying claims for the<br />

annual cycle of planting and harvesting<br />

a crop. In reality, some small level of<br />

outlays may be obligated in the crop<br />

year but paid out during the next crop<br />

year, or some outlays within a crop year<br />

may be for obligations made during the<br />

prior crop year.<br />

Table 1.<br />

<strong>Crop</strong> <strong>Insurance</strong> Program Government Costs (million dollars)<br />

FY 2010 FY 2011 1/<br />

Discretionary<br />

RMA Operating Expenses 80 80<br />

Mandatory<br />

Delivery and Other Administrative Expenses 2/ 1,430 1,393<br />

Gross Indemnities 3,118 7,588<br />

Underwriting Gains 3/ 2,448 999<br />

Transfer to Agricultural Management Assistance Program -6 -6<br />

Program Level 6,996 9,980<br />

Less Producer Paid Premium and Other Fees -2,449 -2,986<br />

Budget Authority, Discretionary and Mandatory 4,627 7,074<br />

Outlays 4/ 4,784 7,069<br />

1/ Estimate based on initial FY 2011 Continuing Resolution.<br />

2/ Includes research, development and other expenses.<br />

3/ Payments to approved private insurance companies.<br />

4/ Outlays are from the USDA Budget Summary and Annual Performance Plan (p. 121). Outlays differ from budget<br />

authority for the following reasons. The FY 2010 outlay exceeds the budget authority because unpaid obligations<br />

from FY 2009 were paid out in FY 2010, and these exceeded the unpaid obligations from FY 2010 carried into FY<br />

2011. For FY 2011, the level of unpaid obligations carried into FY <strong>2012</strong> is estimated to be $5 million more than the<br />

level of unpaid obligations carried into FY 2011 from FY 2010.<br />

<strong>Crop</strong> <strong>Insurance</strong> Program<br />

Outlays<br />

As an example of a crop insurance program<br />

cost presentation by USDA, consider<br />

the data in USDA’s Budget Summary and<br />

Annual Performance Plan (p. 30) used to<br />

explain RMA’s budget proposed by the<br />

administration for FY <strong>2012</strong>. Table 1 shows<br />

cost data for FYs 2010 and 2011.<br />

While Table 1 provides an overview<br />

of the costs of the crop insurance program,<br />

it does not explicitly provide data<br />

on payments to the companies, subsidies<br />

to producers or underwriting gains of the<br />

government. The data presented make it<br />

difficult to understand the distribution of<br />

the program costs among the program<br />

participants. However, other government<br />

tables provide additional information. In<br />

addition, the accounting firm Grant<br />

Thornton, LLP publishes an annual report<br />

on the profitability and effectiveness of<br />

the crop insurance industry using data<br />

obtained from the AIPs. Using these alternative<br />

sources, Table 2 was constructed<br />

to provide greater insight into the program<br />

outlays, the distribution of program<br />

benefits and costs, and the relationship of<br />

the costs to crop year production performance.<br />

RMA agency and related<br />

administrative cost data are not included.<br />

Most of the data presented are RMA reinsurance<br />

report data but crop year data<br />

are also used.<br />

Because government and private data<br />

sources do not report all variables for the<br />

same time periods and include different<br />

cost components, total program outlays in<br />

Table 2, which use reinsurance data and<br />

crop year data may differ slightly from<br />

other presentations. Some presentations<br />

include RMA administrative costs (e.g.,<br />

salaries, IT costs, etc.) and other income<br />

(e.g., interest, transfers from other appropriations,<br />

etc.) and other expenses (e.g.,<br />

research costs from mandatory funding).<br />

These categories are very small in comparison<br />

with the items presented in Table<br />

2. Even variables in government sources<br />

that are presented for the same time period<br />

and appear to include the same components<br />

sometimes differ across sources,<br />

and not enough detail is presented to<br />

explain the differences.<br />

Focus on the last column of Table 2,<br />

program outlays. We first discuss outlays as<br />

typically presented: cost items that are<br />

direct spending by the government. Such<br />

spending items are payments to producers,<br />

which are net indemnities (defined as gross<br />

indemnities, column (3), minus farmer-paid<br />

premium, column (2)) plus payments<br />

made to AIPs. We then examine alternative<br />

presentations.<br />

6 FEBRUARY <strong>2012</strong>


Table 2.<br />

<strong>Crop</strong> <strong>Insurance</strong> Program Outlays (million dollars)<br />

Gross Producer Gross Loss UNDERWRITING GAINS PRODUCER SUBSIDIES AIP Actual Program<br />

Year Premium Share of Indemnities Ratio Gross AIP FCIC For For A&0 Outlays<br />

(1) Premium (3) (4) (5) Share 1/ Share Premium AIP A&0 Expenses (8) + (9) – (7)<br />

(2) (6) (7) (8) (9) (10) (11)<br />

2001 2,978 1,206 2,965 1.00 12 346 -334 1,772 636 816 2,741<br />

2002 2,909 1,168 4,058 1.39 -1,149 -48 -1,101 1,741 628 826 3,470<br />

2003 3,434 1,392 3,259 0.95 176 377 -201 2,042 736 900 2,980<br />

2004 4,186 1,709 3,291 0.79 895 691 203 2,477 894 1,021 3,167<br />

2005 3,945 1,601 2,341 0.59 1,604 915 689 2,344 833 990 2,488<br />

2006 4,709 2,027 3,551 0.75 1,158 822 336 2,682 962 1,159 3,308<br />

2007 6,547 2,724 3,465 0.53 3,082 1,572 1,510 3,823 1,335 1,565 3,648<br />

2008 9,832 4,141 8,719 0.89 1,113 1,095 18 5,691 2,013 2,173 7,686<br />

2009 8,949 3,522 5,216 0.58 3,733 2,298 1,435 5,427 1,619 2,130 5,611<br />

2010 7,592 2,882 4,235 0.56 3,357 1,919 1,438 4,710 1,371 1,815 4,643<br />

Total 55,081 22,372 41,100 0.75 13,981 9,987 3,993 32,709 11,027 13,394 39,742<br />

1/ After net book quota share.<br />

The data in this table are taken from publicly available sources. <strong>Crop</strong> year and reinsurance year data are used; as a result, aggregated numbers may differ slightly from other presentations.<br />

Sources by column number:<br />

■ Columns (1), (3), and (6) are reinsurance data from RMA Reinsurance Reports accessed on 1/3/12, available online at http://www.rma.usda.gov/tools/reinsurance.html. Column<br />

(4) is (3) divided by (1). Column (5) is column (1) minus column (3). Column (7) is column (5) minus column (6), and represents the AIP share of underwriting gains on a reinsurance<br />

year basis and adjusted for quota share.<br />

■ Column (2) is column (1) less column (8), where column (8) is from the RMA <strong>National</strong> Summary of Business Reports, available online at http://www.rma.usda.gov/data/sob.html.<br />

■ Column (9) is from an RMA table "<strong>Crop</strong> year government cost of federal crop insurance," available online at http://www.rma.usda.gov/aboutrma/budget/cycost2002-11.pdf.<br />

■ Column (10), actual expenses as a percent of gross premium, is from Grant Thornton, LLP, "Federal <strong>Crop</strong> <strong>Insurance</strong> Program Profitability and Effectiveness Analysis, 2010<br />

Update," January 13, 2011, available online at http://www.ag-risk.org/NCISPUBS/SpecRPTS/GrantThornton/Grant_Thornton_Report-2010_FINAL.pdf. The reported expense<br />

shares are for calendar years and were multiplied by gross premium for the corresponding reinsurance year (e.g., 2009 expense share multiplied by 2009 gross premium). The average<br />

expense share for 2005-09, 23.9%, was used to estimate actual expenses for 2010.<br />

CROP INSURANCE TODAY ® 7


Typical presentation<br />

Outlays = net indemnities + AIP underwriting<br />

gains + payments made to AIPs<br />

on behalf of producers for program<br />

delivery (A&O payments)<br />

Using column numbers:<br />

(11) = (3) - (2) + (6) + (9)<br />

This aggregation highlights, for example,<br />

that increases in farmer paid premiums<br />

(2) reduce program costs and increases in<br />

AIP underwriting gains (5) increase them.<br />

However, program outlays may be<br />

obtained by aggregating the data in the<br />

table several different ways. The different<br />

ways chosen can be used to illustrate<br />

which activities add to, or reduce, crop<br />

insurance program costs.<br />

Alternative presentation #1<br />

Outlays = gross indemnities - gross premiums<br />

+ AIP underwriting gains + producer<br />

premium subsidies + payments<br />

made to AIPs on behalf of<br />

producers for program delivery<br />

(A&O payments)<br />

Using column numbers:<br />

(11) = (3) - (1) + (6) + (8) + (9)<br />

Although premium subsidies are not<br />

direct spending by the government, this<br />

aggregation shows the important role of<br />

premium subsidies and A&O subsidies<br />

paid on behalf of the producer in the total<br />

cost of the program. This presentation also<br />

highlights a common error in evaluating<br />

the cost of the program. Critics tend to<br />

focus on the revenue paid to the AIPs, (6)<br />

+ (9), disregarding the large premium subsidies<br />

to producers. The ability for AIPs to<br />

earn the underwriting gains shown in (6)<br />

comes about from the gross underwriting<br />

gains for the program itself as shown in (5).<br />

These gains are shared between the AIPs<br />

and FCIC.<br />

Alternative presentation #2<br />

Outlays = producer premium subsidies +<br />

payments made to AIPs on behalf of<br />

producers for program delivery<br />

(A&O payments) - FCIC underwriting<br />

gains<br />

Using column numbers:<br />

(11) = (8) + (9) - (7)<br />

This aggregation is used in the heading<br />

for column (11) of Table 2. The aggregation<br />

shows how positive FCIC underwriting<br />

gains reduce program outlays. This ability<br />

of the government to reduce its cost via<br />

underwriting gains is generally not considered<br />

in discussions of the performance of<br />

the program.<br />

Insights from <strong>Crop</strong><br />

<strong>Insurance</strong> Program Cost<br />

Data<br />

Several conclusions may be drawn<br />

from the data presentation in Table 2 that<br />

may not be generally reported when crop<br />

insurance program costs are presented in<br />

discussions about crop insurance.<br />

• The crop insurance companies do<br />

not receive all the crop insurance<br />

program underwriting gains, particularly<br />

in recent years. For background,<br />

underwriting gains are part of<br />

the gross income of AIPs. Gross income<br />

must be high enough to cover gross<br />

expenses and a profit. The profit must<br />

be sufficiently high to provide a competitive<br />

rate of return (net return on<br />

retained premium, assets or equity) to<br />

ensure private sector participation in<br />

the program. Otherwise, private investments<br />

in crop insurance would migrate<br />

to more profitable industries over time.<br />

Underwriting gains are not profit; they<br />

are gross income that contributes to<br />

profits. In any year, underwriting gains<br />

8 FEBRUARY <strong>2012</strong>


may be positive or negative. To offset<br />

years with low or negative gains, gains<br />

must be high—above average—in other<br />

years to ensure that AIPs earn a competitive<br />

rate of return over time. Since<br />

2001, the crop insurance companies<br />

have received 71 percent of the underwriting<br />

gains generated by the program.<br />

Over the past five years (2006-10), the<br />

industry has received just 62 percent of<br />

the underwriting gains.<br />

• The government receives a high<br />

share of underwriting gains. The<br />

share of underwriting gains not<br />

received by the AIPs—29 percent of<br />

gains over the past 10 years and 38 percent<br />

of the gains over the past five<br />

years—went to FCIC.<br />

• Government underwriting gains<br />

reduce the cost of the crop insurance<br />

program. These gains represent<br />

a benefit to the Treasury and taxpayers<br />

that is not identified in most government<br />

accounts of program costs.<br />

• Total program cost is usually less<br />

than the total of premium subsidies,<br />

AIP underwriting gains and<br />

delivery payments to companies.<br />

This emphasizes that the combined<br />

payments to companies and premium<br />

subsidies to producers overstate the<br />

commitment of the taxpayer to the program.<br />

The true cost to taxpayers also<br />

needs to take into consideration the<br />

excess of premiums over indemnities<br />

as indicated in (5). An illustration of the<br />

cash flows is presented in Figure 1.<br />

• Producer subsidies include payments<br />

made to companies on behalf<br />

of producers to pay program delivery<br />

expenses. In insurance markets<br />

generally, a purchaser of insurance<br />

pays a premium for protection that<br />

includes two components: a risk<br />

premium, which covers expected<br />

losses due to insured risks, and an<br />

expense load, which covers delivery<br />

costs including sales, loss adjustment<br />

and other administrative<br />

costs. Under the crop insurance program,<br />

producers receive a subsidy that<br />

covers on average about 60 percent of<br />

the risk premium and a subsidy that<br />

covers 100 percent of the expense load.<br />

Figure 1. The Financial Flows Underlying <strong>Crop</strong> <strong>Insurance</strong> for 2008<br />

Subsidies<br />

for Premium, $5.7 bil.,<br />

and A&O, $2.0 bil.<br />

Producers<br />

Indemnities,<br />

$8.7 bil.<br />

Consider data for 2010, a year in which<br />

producers paid $2.9 billion in premiums.<br />

In an unsubsidized market,<br />

assuming the same premium rates as in<br />

2010, had producers purchased the<br />

same level of coverage, they might<br />

have paid a total premium of $9.4 billion<br />

($7.6 billion in risk premium and<br />

$1.8 billion in expense load, columns<br />

(1) and (10)), assuming 2010’s actual<br />

delivery expenses. The $2.9 billion producers<br />

actually paid amounted to only<br />

31 percent of the premium that might<br />

have prevailed in an unsubsidized market.<br />

Of course, actual delivery expenses<br />

in a free market are unknown, and<br />

2010’s actual expenses are used as a<br />

proxy for the free market delivery cost.<br />

• Producer subsidies account for the<br />

bulk of crop insurance program<br />

costs and benefits. Alternative presentation<br />

#1 showed that program costs<br />

are equal to gross indemnities less<br />

gross premiums plus AIP underwriting<br />

gains plus producer premium subsidies<br />

plus producer A&O subsidies. For the<br />

past five years, program outlays averaged<br />

$5 billion. Premium and delivery<br />

expense subsidies to producers averaged<br />

$5.8 billion, as compared an average<br />

of $1.5 billion in AIP underwriting<br />

RMA<br />

Total Premium,<br />

$9.9 bil.<br />

A&O Payment,<br />

$2.0 bil.<br />

Underwriting<br />

Gain, $1.1 bil.<br />

AIPs<br />

gains. AIP underwriting gains were<br />

paid out of the $2.5 billion in average<br />

underwriting gains for the program,<br />

with the government retaining the<br />

remaining gains.<br />

• Producer subsidies for A&O do not<br />

cover the actual delivery costs of<br />

companies. Discussions of the program<br />

often treat the producer A&O<br />

subsidy as a benefit to the AIPs or even<br />

as an additional source of profit. In<br />

reality, the existence of the A&O subsidy<br />

is simply a consequence of the<br />

way the government accounts for its<br />

costs. In a typical insurance program,<br />

policyholders would pay for the cost of<br />

delivery as part of their premium.<br />

Under the Federal crop insurance program,<br />

FCIC pays this cost directly to<br />

AIPs on behalf of producers. This<br />

works to the benefit of taxpayers and<br />

to the disadvantage of AIPs in that payments<br />

have been below actual delivery<br />

expenses by an average of over $250<br />

million per year during 2005-2009.<br />

Although the 2011 Standard<br />

Reinsurance Agreement will cap agent<br />

compensation at the total A&O payment,<br />

it is likely that total delivery costs<br />

will continue to exceed the A&O subsidy<br />

to producers.<br />

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An Alternative Perspective on the<br />

Government’s Role<br />

The presentation of government outlays in support of the<br />

Federal crop insurance program, as described above, could easily<br />

be misinterpreted. Table 2 describes the program as though the<br />

government was the risk bearer and the AIPs were merely a<br />

means for delivering the program to producers. The reality is quite<br />

different: AIPs actually take the lead role in bearing the risk. As<br />

such, AIPs are entitled to an economically fair return or profit due<br />

to their willingness to risk their own capital in the program. Rather<br />

than being the risk bearer, FCIC is more accurately described as<br />

participating in the program as a reinsurer. FCIC is not the only<br />

reinsurer active in the program—private sector reinsurers are also<br />

heavily involved. The difference is that AIPs have the ability to<br />

negotiate both the structure and cost of reinsurance with their<br />

reinsurers, whereas their ability to negotiate with FCIC is extremely<br />

limited. FCIC’s involvement as a reinsurer comes about for two<br />

distinct reasons. First, the terms of the SRA require AIPs to issue<br />

policies to all eligible producers. However, many producers would<br />

find it difficult to obtain insurance for various reasons in a fully<br />

private insurance market. To satisfy the social objective of making<br />

insurance available to all eligible producers, AIPs have been willing<br />

to insure these risks, but only under the condition that FCIC<br />

provide reinsurance protection due to the likelihood that these<br />

risks will be unprofitable. The second reason is to address the possibility<br />

of widespread losses due to drought or other weather<br />

events that are beyond the capacity of the insurance industry to<br />

absorb. This was an important issue in the early years of the program<br />

but is much less important today, as private sector reinsurers<br />

have gained familiarity with the program. Even though the<br />

need for or benefit of reinsurance through FCIC is relatively limited,<br />

FCIC still takes a large share of the potential underwriting<br />

gains. While it might be possible for AIPs to obtain more favorable<br />

terms from private sector reinsurers than from FCIC, this option is<br />

not available to them. However, if FCIC did not participate as a<br />

reinsurer, the taxpayer cost of the program could be expressed<br />

more directly as the total producer premium subsidies in (8) and<br />

(9). From this perspective, the government’s role in the crop insurance<br />

program is more clearly understood as ensuring the functioning<br />

of the market by providing financial support to producers and<br />

providing incentives to AIPs to ensure that protection is available<br />

to all eligible producers.<br />

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Conclusion<br />

In conclusion, the components of the public costs of the Federal<br />

crop insurance program are not easy to find and may be interpreted<br />

in various ways, depending on how the components are aggregated<br />

and described. Various interpretations may be seen in media<br />

articles that emphasize the importance of different components,<br />

such as payments to companies or producer premium subsidies.<br />

Hopefully, this article will further the understanding of how different<br />

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CROP INSURANCE TODAY ® 11


TODAYcrop insurance<br />

NCIS Awards<br />

Two Scholarships<br />

In the fall of 2011, NCIS began awarding<br />

two college scholarships to students<br />

enrolled at an 1890 Land-Grant University.<br />

The purpose of the scholarships is to help<br />

students further their education but also<br />

expose them to the business of crop<br />

insurance.<br />

Paige Liggens<br />

The first recipient is Paige Liggens, a<br />

student from Langston University in<br />

Langston, Oklahoma. Miss Liggens is a junior<br />

majoring in Natural Resource<br />

Management. She is very active on and off<br />

campus with various organizations, clubs,<br />

performance groups and community service.<br />

Miss Liggens also mentors children<br />

through local schools and sports programs.<br />

“Miss Liggens shows great interest in<br />

learning and is enthusiastic in classroom<br />

question and discussion sessions,” said Dr.<br />

Steve Zeng, chair of the Department of<br />

Agriculture & Natural Resources. “I strongly<br />

endorse her for this scholarship because<br />

she has demonstrated scientific intelligence,<br />

sound study habits, hard-working<br />

nature and team-oriented skills.”<br />

Miss Liggens is extremely appreciative<br />

of this tremendous scholarship and said<br />

“By awarding me the <strong>National</strong> <strong>Crop</strong><br />

<strong>Insurance</strong> <strong>Services</strong> scholarship, you all<br />

have lightened my financial burden, which<br />

allows me to focus more on the important<br />

aspects of school i.e. learning and studying.<br />

12 FEBRUARY <strong>2012</strong><br />

Megan Sullivan<br />

Your generosity has inspired me to help others<br />

give back to the community. I hope one<br />

day I will be able to help students achieve<br />

their goals just as you have helped me.”<br />

Miss Liggens had to delay her dream of<br />

obtaining a college education for a few<br />

years after high school graduation. She<br />

worked several jobs to help support her<br />

family and save money for tuition.<br />

Langston University, established in<br />

1987, is named after John Mercer Langston,<br />

a black educator from Virginia who organized<br />

the first department of law at Howard<br />

University. Langston University offers several<br />

degrees including agriculture and<br />

applied science, business, education and<br />

nursing. Over 3,000 students attend the<br />

university.<br />

Megan Sullivan is the recipient of the<br />

second NCIS scholarship. Miss Sullivan is a<br />

junior at Alcorn State University majoring in<br />

Homeland Security Science Technology<br />

with a concentration in Geographic<br />

Information Science.<br />

“Miss Sullivan’s leadership qualities are<br />

outstanding and she is able to initiate discussions,<br />

ideas, and constructive suggestions,”<br />

said Dr. Yaw Twumasi, assistant<br />

professor, GIS and Remote Sensing. “She<br />

possesses excellent oral and written communication<br />

skills.”<br />

Born in Vicksburg, Mississippi, Miss<br />

Sullivan is the oldest of three children. She<br />

has always enjoyed learning and after earning<br />

her bachelors would like to pursue a<br />

master’s degree. She has had several<br />

opportunities to participate in programs<br />

that further her education. Recently she<br />

participated in the NASA Langley<br />

Aerospace Research Summer Scholarship<br />

(LARSS) Project where she researched GIS<br />

techniques in environmental safety and climate<br />

change throughout the U.S. Her goal<br />

is to become a GIS programmer/analyst<br />

specializing in agricultural science.<br />

Alcorn State University is the oldest<br />

public historically black land-grant university<br />

founded in 1871. More than 3,800 students<br />

attend this university with three campuses<br />

located in Southeast Mississippi.<br />

Students can receive undergraduate and<br />

graduate degrees in seven different schools<br />

including arts and sciences, agriculture and<br />

applied sciences, nursing and education.


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TODAYcrop insurance<br />

<strong>2012</strong><br />

Spring Update Conference<br />

The <strong>2012</strong> Spring Update Conference<br />

held November 9-10, 2011, had a record<br />

attendance. It was easy to see why when<br />

you looked at the agenda and saw the<br />

guest speakers and topics covered.<br />

Michael Scuse, USDA Acting Under<br />

Secretary for Farm and Foreign Ag<br />

<strong>Services</strong>, was the first guest speaker to<br />

address the packed conference room. “The<br />

future for American agriculture and rural<br />

communities is bright. The most important<br />

thing we can do is to provide them [farmers]<br />

with the very best crop insurance<br />

product we can,” he said.<br />

This national conference is designed for<br />

NCIS training contacts and company training<br />

personnel, with the overall objective to<br />

provide trainers with updated technical<br />

information and training materials needed<br />

to prepare and conduct their company<br />

spring training for the <strong>2012</strong> crop year.<br />

In addition to covering the myriad of<br />

updates to policies and procedures, this<br />

conference also addressed recent major<br />

announcements by the Risk Management<br />

Agency. Trend Adjusted Actual Production<br />

History (APH) was released by RMA in<br />

mid-October for corn and soybean policies<br />

in select counties in 14 Midwestern states.<br />

Dr. Bruce Sherrick, from the University of<br />

Illinois where Trend Adjusted APH was<br />

developed, presented aspects of the<br />

research and analysis that went into the<br />

product’s development and provided several<br />

examples that company trainers can<br />

use when explaining the new program to<br />

agents.<br />

RMA also recently introduced several<br />

new pilot programs for the industry. As the<br />

developer of a few of these, Alex<br />

Michael Scuse, Deputy Under Secretary,<br />

USDA<br />

Offerdhal, with Watts & Associates,<br />

explained the new popcorn revenue and<br />

specialty soybean revenue pilot programs.<br />

Ron Lundine, with RMA, discussed the new<br />

pistachios, olives and camelina policies.<br />

NCIS staff, including Chris Lindsay, Lisa<br />

Cain, Michael O’Connor, Dean Strasser,<br />

Lynnette Dillon, Loretta Sobba and Don<br />

Hutsell presented changes on the <strong>Crop</strong><br />

<strong>Insurance</strong> Handbook, other crop policies<br />

and procedural changes – including crophail,<br />

actuarial updates, Written Agreement<br />

Handbook, the Loss Adjustment Manual,<br />

and a handful of other topics.<br />

With the deadline of the Congressional<br />

Super Committee approaching shortly after<br />

the conference, NCIS invited Mary Kay<br />

Thatcher, American Farm Bureau<br />

Federation, to speak on the status of the<br />

<strong>2012</strong> Farm Bill. At that time, the ranking<br />

members of the House and Senate<br />

Agriculture Committees were working<br />

Dr. Bruce Sherrick, University of Illinois<br />

feverishly to write what was, in essence,<br />

the <strong>2012</strong> Farm Bill in the hopes of presenting<br />

it to the Super Committee for inclusion<br />

in their final legislation to reduce the federal<br />

deficit by $1.2 trillion dollars. Miss<br />

Thatcher gave a quick overview of the proposals<br />

that were introduced by various<br />

farm organizations in the hopes that the<br />

crop insurance program would be maintained<br />

or strengthened. (Ultimately the<br />

Super Committee did not reach an agreement<br />

on their proposal by the statutory<br />

deadline so Farm Bill discussions will continue<br />

with the hopes that a new legislation<br />

will be finalized prior to the expiration of<br />

the current 2008 Farm Bill in September<br />

<strong>2012</strong>.)<br />

Dr. James Hipple, RMA Strategic Data<br />

Acquisition and Analysis (SDAA), provided<br />

an overview of the large claim forensic<br />

remote sensing that is being conducted to<br />

promote program integrity. Through the<br />

14 FEBRUARY <strong>2012</strong>


use of satellite imagery, a series of compliance-related<br />

activities are being pursued to<br />

aid the AIPs in loss verification.<br />

Michael Hand, Deputy Administrator,<br />

RMA Compliance Division, discussed a<br />

litany of current compliance issues and<br />

highlighted lessons learned from conducting<br />

large claims and routine data mining<br />

reviews. He also looked ahead to challenges<br />

for <strong>2012</strong> compliance, including<br />

more and better data for internal and external<br />

content, and the continuing Federal<br />

budget constraints.<br />

The conference ended with a panel discussion<br />

on miscellaneous issues and Q&A<br />

with representatives from RMA and NCIS.<br />

This time is used for conference presenters<br />

to supply answers to questions that came<br />

up during their presentation and needed<br />

further study or clarification from RMA.<br />

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TODAYcrop insurance<br />

Committee Sees Research<br />

First Hand<br />

By Therese Stom, NCIS<br />

In November of 2011, the NCIS <strong>Crop</strong>-<br />

Hail Actuarial & Statistics (A&S) Committee<br />

traveled to Chandler, Arizona, for an offsite<br />

meeting. The <strong>Crop</strong>-Hail A&S Committee<br />

generally meets twice a year and is responsible<br />

for the review of crop-hail actuarial<br />

methodologies, crop-hail statistical reporting<br />

techniques and state insurance department<br />

filing requirements.<br />

While in Arizona the Committee had the<br />

opportunity to go beyond the meeting<br />

room and see firsthand what goes on in the<br />

field. Sam Wang of the Maricopa Ag Center<br />

provided a tour of cotton fields at the<br />

research center. Mr. Wang briefed the<br />

group on some of the research currently<br />

being conducted. Due to the difference in<br />

the cotton growing season, there had been<br />

concern that the loss adjusting charts for<br />

cotton may not be accurate for the Arizona<br />

area since the original research for the<br />

Committee member Dale Farnham (far left) and Tom Vetter, ProAg and member of the NCIS<br />

<strong>Crop</strong>-Hail Policy, Procedure and Loss Adjustment Committee, listen to Dr. Wang (far right)<br />

describe current research projects.<br />

16 FEBRUARY <strong>2012</strong>


Dean Clarke, Rachel Henke, Brian Gugat, Mary Sutton and Mike Hargrove<br />

Frank Schnapp, NCIS (far left), Mary Wandro and Kendall Jones<br />

charts were conducted in Arkansas and<br />

Mississippi. Research is being conducted<br />

on the limb removal and cutoff portions of<br />

the charts.<br />

Committee members attending the<br />

meeting included: Jim Aldeman,<br />

American Farm Bureau <strong>Insurance</strong>; Dean<br />

Clarke, Great American; Dale Farnham,<br />

Farmers Mutual Hail; Brian Gugat, Rain<br />

and Hail; Mike Hargrove, ARMtech;<br />

Rachel Henke, NAU Country; Kendall<br />

Jones, ProAg; Mary Sutton, RCIS; and,<br />

Mary Wandro, Grinnell Mutual. Members<br />

unable to attend were: Greg Livingston,<br />

John Deere Risk Protection; and, Geoff<br />

Redman, ADM.<br />

Therese Stom, NCIS and staff liaison to the<br />

<strong>Crop</strong>-Hail A&S Committee<br />

CROP INSURANCE TODAY ® 17


TODAYcrop insurance<br />

Trade Talk<br />

2011<br />

The 67th annual convention of the<br />

<strong>National</strong> Association of Farm Broadcasting<br />

(NAFB) was held in Kansas City, MO,<br />

November 9-11, 2011. The “centerpiece<br />

event” of the convention is Trade Talk.<br />

Trade Talk affords company and organization<br />

participants access to member broadcasters<br />

to discuss the issues and topics that<br />

are important to them.<br />

NCIS participated in Trade Talk this<br />

year and met with several broadcasters to<br />

discuss crop insurance and its strengths as<br />

the linchpin of the farm safety net.<br />

“It was a good use of our time,” said<br />

Laurie Langstraat, NCIS. “Not only did we<br />

visit with several farm broadcasters, it<br />

allowed us the opportunity to network<br />

with our peers from other commodity and<br />

farm organizations.”<br />

“We have heard again and<br />

again from producers that<br />

crop insurance is the best risk<br />

management tool available.”<br />

Miss America 2011, Teresa Scanlan, spokesperson for “The Hand That Feeds U.S.” stopped by to<br />

visit our booth. The crop insurance industry is a proud supporter of THTFUS, and we welcomed<br />

the opportunity to visit with Miss America, who is helping to promote the importance of agriculture.<br />

In the picture, left to right: Laurie Langstraat, Keith Collins, Miss America, and Tom Zacharias.<br />

-Senators Frank Lucas<br />

and Pat Roberts<br />

“I’m very opposed to cutting<br />

more from crop insurance.”<br />

-Representative<br />

Collin Peterson<br />

“Most farmers now see crop<br />

insurance as a primary tool<br />

for risk management.”<br />

-USDA Chief Economist,<br />

Joseph Glauber<br />

Keith Collins (left) visits with a farm broadcaster during Trade Talk.<br />

18 FEBRUARY <strong>2012</strong>


The NCIS booth at Trade Talk featured several positive quotes from key congressional and USDA representatives.<br />

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TODAYcrop insurance<br />

Ben Latham<br />

Retirements<br />

Jess “Ben” Latham III, will retire from<br />

The ProAg <strong>Insurance</strong> Group in early <strong>2012</strong>.<br />

Ben is a graduate of the University of<br />

Texas and West Texas State University. He<br />

started his career in crop insurance in 1972<br />

as an agent in Amarillo, Texas. In 1974, he<br />

went to work as a hail adjuster for his<br />

grandfather’s company, which was started<br />

in 1926. In 1979, he was promoted to Vice<br />

President of Marketing for the company,<br />

then a regional crop-hail insurer mostly in<br />

the state of Texas. In the late 1980s, they<br />

moved into the MPCI market.<br />

As the company began to grow, they<br />

put together a business plan to expand<br />

into other states. During the 1990s, Ben,<br />

his brother, and his two sons worked on<br />

establishing other offices, growing through<br />

the 2000s to five regional offices and 450+<br />

employees in 42 states. During that time,<br />

Ben served as COO and CEO and enjoyed<br />

Steve Harms<br />

Steve Harms, Rain and Hail L.L.C.,<br />

retired in early January <strong>2012</strong>, after almost<br />

37 years of service. Steve had been the<br />

Chairman of the Board of Rain and Hail<br />

<strong>Insurance</strong> Service, Inc. since 2005, and also<br />

served as President of the Company since<br />

2001.<br />

Steve began his career with Rain and<br />

Hail as an adjuster in 1973 and throughout<br />

his career there served in several different<br />

positions such as Field Supervisor,<br />

Claims/Quality Control Manager, Division<br />

Manager, Executive Vice President,<br />

President and Chairman of the Board.<br />

Steve was also a member of many industry<br />

committees during his time with Rain<br />

working with reinsurance and especially<br />

new employees.<br />

“We have been very fortunate to have<br />

put together an excellent management<br />

team that is with us today at The ProAg<br />

<strong>Insurance</strong> Group,” said Ben. “Along with<br />

its parent company, CUNA Mutual, they<br />

will continue carrying on the family tradition.”<br />

During his tenure with The ProAg<br />

<strong>Insurance</strong> Group, Ben was very active in<br />

industry activities and served on several<br />

Boards, including: <strong>National</strong> <strong>Crop</strong> <strong>Insurance</strong><br />

<strong>Services</strong> (member and Chairman);<br />

American Association of <strong>Crop</strong> Insurers<br />

(member and Chairman); and, the<br />

International Association of <strong>Crop</strong> Insurers.<br />

Ben was also very active in his community,<br />

serving on several boards for local<br />

hospitals, churches and other educational<br />

institutions.<br />

and Hail. He is a proven leader within the<br />

agricultural insurance world and had<br />

served as Chairman of both <strong>National</strong> <strong>Crop</strong><br />

<strong>Insurance</strong> <strong>Services</strong> (NCIS) and American<br />

Association of <strong>Crop</strong> Insurers (AACI).<br />

Steve’s personal life is full of interests,<br />

activities and friends, but his greatest joy<br />

and accomplishment is his family. Steve<br />

and his wife, Diane, have four daughters<br />

and one son. He enjoys time with his<br />

grandchildren as well as hunting and fishing.<br />

We wish Steve all the best in his retirement<br />

and we thank him for his years of<br />

service and many contributions to the crop<br />

insurance industry.<br />

Ben and his wife, Connie, have three<br />

children; Benson, Brandon and Jessica. We<br />

wish Ben all the best in his retirement and<br />

we thank him for his years of service and<br />

many contributions to the crop insurance<br />

industry.<br />

20 FEBRUARY <strong>2012</strong>


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TODAYOBITUARIES<br />

In Memory<br />

Patrick “Pete” Flanagan, 69, passed away<br />

at his home in Fort Benton, MT, on<br />

December 27, 2011, after a long battle with<br />

cancer.<br />

Pat was born December 30, 1941 in<br />

Forsyth, Montana to Pat and Edna<br />

Flanagan. He grew up on a farm with two<br />

older sisters, Patricia (Trick) Groombridge<br />

and Margaret (Muzz) Noctor. He was a first<br />

generation Irishman who embraced his heritage,<br />

including a trip to his father’s homestead<br />

in Ireland. Pat graduated from Forsyth<br />

High School as an outstanding athlete and<br />

forever friend. He went to school at NMC<br />

and EMC on athletic scholarships and graduated<br />

with a History/Coaching degree. His<br />

first job took him to Willow Creek, where<br />

he met and married Walleyne Murphy on<br />

December 27, 1966.<br />

Together the Flanagans taught and<br />

coached at Willow Creek, Hysham, Stanford<br />

and Fort Benton where they made their<br />

home. After getting his Master’s degree at<br />

MSU, Pat touched the lives of many as a<br />

school counselor and psychologist. He<br />

especially enjoyed the company of his<br />

teaching colleagues and later his students<br />

and players as friends. Pat was a wellloved<br />

teacher, coach, counselor and friend.<br />

22 FEBRUARY <strong>2012</strong><br />

After retirement in 1992, Pete went to<br />

work as a crop insurance adjuster for<br />

Agro<strong>National</strong>. He loved his job and the<br />

people with whom he worked. He made<br />

many lasting friendships and was a highly<br />

respected adjuster. Pat learned the skills<br />

needed to adjust both crop-hail and MPCI<br />

claims, later becoming a valued claims<br />

supervisor based on his leadership abilities.<br />

“His commitment and passion for teaching,<br />

mentoring and helping people will be<br />

long remembered by those he touched,”<br />

said Kim Gibson, Agro Branch Manager and<br />

Vice President, NAU Country. “Pat was a<br />

great example of ‘you get what you give’<br />

and he gave us all so much; he will be greatly<br />

missed.”<br />

Pat became very active in NCIS regional/state<br />

committee functions in 1997 and<br />

served as Chairman of the Montana<br />

Regional/State Committee in 2004-2005. He<br />

always devoted time and effort for these<br />

committee activities and felt that by working<br />

with the industry as a whole we were all<br />

better served than putting yourself or individual<br />

company ahead of the industry.<br />

“Pat demonstrated time and again that<br />

he was very committed to seeing that the<br />

Montana Committee remains viable and<br />

strong,” said Dean Strasser, NCIS and staff<br />

liaison to the Montana Regional/State<br />

Committee. “He placed a high value on<br />

attendance at the Committee’s regularly<br />

scheduled meetings and loss adjuster<br />

schools. Hardly a meeting went by that his<br />

name was not mentioned because he volunteered<br />

to take on a task or report on an<br />

issue.”<br />

Pat, an avid sports fan, was a lifelong<br />

Dodger supporter. He and his son were on<br />

a quest to visit ballparks and scored eight.<br />

He enjoyed skiing, fishing and hunting and<br />

bagged a 6 by 7 bull on opening day this<br />

fall. Pat was a wonderful “builder;” building<br />

a home, a cabin, a redwood canoe, a<br />

gazebo and a lifetime of memories and<br />

friendships.<br />

Time spent with his children Casey,<br />

Bridget, grandchildren Killian 16, Will 14,<br />

Connor 10 and many friends were deeply<br />

cherished and will be greatly missed.<br />

Friendship, loyalty, laughter and love were<br />

the gifts Pat gave and continues to give.<br />

As his best buddy Connor said, “He had a<br />

good run.”<br />

A Celebration of Life was held December<br />

30, 2011 on Pat’s 70th birthday. The family<br />

suggests gifts to local charities: Chouteau<br />

County Cancer Support Group, PO Box 674;<br />

The Dedman Foundation, PO Box 1282; or,<br />

ICC Restoration, PO Box 849, all of Fort<br />

Benton Montana 59442.


TODAYOBITUARIES<br />

In Memory<br />

Patrick “Pete” Flanagan, 69, passed away<br />

at his home in Fort Benton, MT, on<br />

December 27, 2011, after a long battle with<br />

cancer.<br />

Pat was born December 30, 1941 in<br />

Forsyth, Montana to Pat and Edna<br />

Flanagan. He grew up on a farm with two<br />

older sisters, Patricia (Trick) Groombridge<br />

and Margaret (Muzz) Noctor. He was a first<br />

generation Irishman who embraced his heritage,<br />

including a trip to his father’s homestead<br />

in Ireland. Pat graduated from Forsyth<br />

High School as an outstanding athlete and<br />

forever friend. He went to school at NMC<br />

and EMC on athletic scholarships and graduated<br />

with a History/Coaching degree. His<br />

first job took him to Willow Creek, where<br />

he met and married Walleyne Murphy on<br />

December 27, 1966.<br />

Together the Flanagans taught and<br />

coached at Willow Creek, Hysham, Stanford<br />

and Fort Benton where they made their<br />

home. After getting his Master’s degree at<br />

MSU, Pat touched the lives of many as a<br />

school counselor and psychologist. He<br />

especially enjoyed the company of his<br />

teaching colleagues and later his students<br />

and players as friends. Pat was a wellloved<br />

teacher, coach, counselor and friend.<br />

22 FEBRUARY <strong>2012</strong><br />

After retirement in 1992, Pete went to<br />

work as a crop insurance adjuster for<br />

Agro<strong>National</strong>. He loved his job and the<br />

people with whom he worked. He made<br />

many lasting friendships and was a highly<br />

respected adjuster. Pat learned the skills<br />

needed to adjust both crop-hail and MPCI<br />

claims, later becoming a valued claims<br />

supervisor based on his leadership abilities.<br />

“His commitment and passion for teaching,<br />

mentoring and helping people will be<br />

long remembered by those he touched,”<br />

said Kim Gibson, Agro Branch Manager and<br />

Vice President, NAU Country. “Pat was a<br />

great example of ‘you get what you give’<br />

and he gave us all so much; he will be greatly<br />

missed.”<br />

Pat became very active in NCIS regional/state<br />

committee functions in 1997 and<br />

served as Chairman of the Montana<br />

Regional/State Committee in 2004-2005. He<br />

always devoted time and effort for these<br />

committee activities and felt that by working<br />

with the industry as a whole we were all<br />

better served than putting yourself or individual<br />

company ahead of the industry.<br />

“Pat demonstrated time and again that<br />

he was very committed to seeing that the<br />

Montana Committee remains viable and<br />

strong,” said Dean Strasser, NCIS and staff<br />

liaison to the Montana Regional/State<br />

Committee. “He placed a high value on<br />

attendance at the Committee’s regularly<br />

scheduled meetings and loss adjuster<br />

schools. Hardly a meeting went by that his<br />

name was not mentioned because he volunteered<br />

to take on a task or report on an<br />

issue.”<br />

Pat, an avid sports fan, was a lifelong<br />

Dodger supporter. He and his son were on<br />

a quest to visit ballparks and scored eight.<br />

He enjoyed skiing, fishing and hunting and<br />

bagged a 6 by 7 bull on opening day this<br />

fall. Pat was a wonderful “builder;” building<br />

a home, a cabin, a redwood canoe, a<br />

gazebo and a lifetime of memories and<br />

friendships.<br />

Time spent with his children Casey,<br />

Bridget, grandchildren Killian 16, Will 14,<br />

Connor 10 and many friends were deeply<br />

cherished and will be greatly missed.<br />

Friendship, loyalty, laughter and love were<br />

the gifts Pat gave and continues to give.<br />

As his best buddy Connor said, “He had a<br />

good run.”<br />

A Celebration of Life was held December<br />

30, 2011 on Pat’s 70th birthday. The family<br />

suggests gifts to local charities: Chouteau<br />

County Cancer Support Group, PO Box 674;<br />

The Dedman Foundation, PO Box 1282; or,<br />

ICC Restoration, PO Box 849, all of Fort<br />

Benton Montana 59442.


TODAYOBITUARIES<br />

In Memory<br />

Marx M. Mannberger, long-time NCIS<br />

employee, passed away on December 24,<br />

2011, at the age of 83.<br />

Marx began his career with the <strong>Crop</strong><br />

Hail <strong>Insurance</strong> Actuarial Association<br />

(CHIAA) in 1956 and retired from NCIS in<br />

1998. During his tenure with NCIS he held<br />

several positions, including assistant to the<br />

director of data processing; data processing<br />

customer support; data processing<br />

administrator; and, vice president of data<br />

processing.<br />

Marx is survived by his daughter,<br />

Melanie Cravens of Dresden, TN; one son,<br />

Mike Mannberger of Greenfield, TN; three<br />

grandchildren; and, three great-grandchildren.<br />

He was preceded in death by his<br />

daughter, Melia Mannberger.<br />

INDUSTRY<br />

NCISAWARDS<br />

Under the direction of its Board of<br />

Directors, <strong>National</strong> <strong>Crop</strong> <strong>Insurance</strong><br />

<strong>Services</strong> has developed two national<br />

awards to be given to individuals who<br />

achieve excellence in the criteria set out by<br />

the awards.<br />

The first award is the Outstanding<br />

Service Award. This award, primarily for<br />

agents, has actually been in existence since<br />

2001 and has been awarded to several<br />

excellent individuals. The purpose of this<br />

award is to promote exceptional service<br />

industry-wide, and encourage outstanding<br />

outreach efforts to all farmers, especially<br />

limited-resource farmers, by highlighting<br />

an individual who has demonstrated<br />

exceptional service.<br />

The newest award established is the<br />

Industry Leadership Award. This award,<br />

targeted primarily to members of the NCIS<br />

regional/state crop insurance committees,<br />

was created to formally recognize individuals<br />

who are directly involved in the crop<br />

insurance industry and who consistently<br />

serve the industry by providing outstanding<br />

leadership. Company employees at both<br />

the field and management level are eligible<br />

to be nominated.<br />

The criteria for both awards are:<br />

1. Strong personal and business ethics.<br />

2. Demonstrated service above and<br />

beyond to the crop insurance industry.<br />

3. Represents themselves, their company,<br />

and the crop insurance industry well.<br />

The two winners will be presented with<br />

their awards at the crop insurance industry<br />

annual convention held in <strong>February</strong> of<br />

each year.<br />

All nominations must be submitted in<br />

writing to NCIS by October 15, <strong>2012</strong>, for<br />

awards to be given at the 2013 Annual<br />

Convention. For nomination information<br />

and forms to be submitted, please go to<br />

the NCIS website at www.ag-risk.org to<br />

download. If you have any questions<br />

regarding the criteria or whom is eligible<br />

for either award, please contact Laurie<br />

Langstraat at NCIS at lauriel@ag-risk.org or<br />

913-685-2767.<br />

24 FEBRUARY <strong>2012</strong>


TODAYcrop insurance<br />

STEP 5-TESTING THE CURRENT FARM<br />

Q:Will the current farm be<br />

feasible in the future?<br />

This is the fifth in a ten-part series of articles on “The Steps of Farm Business Planning.”<br />

The introductory article for the series was published in the November 2010 issue of <strong>Crop</strong> <strong>Insurance</strong> TODAY ® and additional articles<br />

will be printed each quarter.<br />

By Dr. Laurence Crane, NCIS<br />

3), and set and prioritize your personal and<br />

business goals (Step 4).<br />

If the analysis indicates that the current<br />

farm does not need to be changed (and<br />

you are not interested in pursuing<br />

changes), Steps 6 and 7 of the planning<br />

process can be skipped. But if the analysis<br />

suggests that changes should be considered<br />

(or you are interested in exploring<br />

options), Steps 6 and 7 outline some<br />

thoughts on describing and evaluating<br />

alternatives.<br />

The first sections of this step provide an<br />

overview of the analytical process.<br />

Subsequent sections address several issues<br />

that arise in completing the analysis and<br />

suggest actions that can be taken, based<br />

on the result of the analysis.<br />

Analytical Procedure<br />

The question to be answered by completing<br />

this step is whether the current<br />

An important part of planning is understanding<br />

what will happen if you don’t<br />

change anything. Evaluating the future<br />

performance of your current farm, based<br />

on your assumptions and expectations for<br />

the future, will help you to know if and<br />

when changes are needed. This evaluation<br />

will provide the base, or benchmark, on<br />

which to measure the effectiveness of<br />

potential changes.<br />

The object of this step is to determine<br />

whether the current farm operation will<br />

meet your goals in the future, or whether<br />

changes should be made to your current<br />

farm business. In the previous four steps<br />

you had the opportunity to describe your<br />

current farm operation (Step 1), identify<br />

your skills and interests (Step 2), specify<br />

your expectations about the future (Step<br />

26 FEBRUARY <strong>2012</strong>


farm business, with no more than minor<br />

changes, will fulfill your personal and<br />

business goals in the future. To conduct<br />

the test, you should:<br />

a. Use the description of the current<br />

farm as developed in Step 1 and the<br />

expected future prices and costs that<br />

were specified in Step 3;<br />

b. Apply the analytical process<br />

described in Step 1; that is, project<br />

the farm business’ cash flow, profitability,<br />

equity accumulation, and<br />

resource feasibility several years in<br />

the future;<br />

c. Compare the projections to the long<br />

term business goals set forth in Step<br />

4; and,<br />

d. Compare the tasks needed to operate<br />

the farm to the interests and skills the<br />

owners want to pursue (as set forth<br />

in Step 2).<br />

The next several sections of this section<br />

expand on certain aspects of the<br />

analytical process.<br />

Projections<br />

Remember, the focus of this step is on<br />

the future performance of the current<br />

farm; that is, projecting the financial performance<br />

of the current business based on<br />

the assumptions you made about the<br />

future. The procedure is similar to what<br />

was utilized in Step 1:<br />

• An enterprise budget is developed for<br />

each activity;<br />

• The enterprise budgets are combined<br />

to gain an understanding of the wholefarm;<br />

and,<br />

• A determination is made as to how well<br />

the availability of resources matches<br />

with resource needs.<br />

The period of time being analyzed is<br />

the future (rather than the past), and<br />

such projections often are referred to as<br />

budgets.<br />

Time Frame<br />

Another issue in testing your current<br />

farm operation is selecting the time periods<br />

to be analyzed. Many farmers start by<br />

testing their business for next year and<br />

usually are quite confident that their<br />

assumptions are realistic.<br />

However, farm business planning<br />

emphasizes a longer time period. To look<br />

further into the future, most farmers select<br />

a second time period; perhaps five or ten<br />

years from now. Preparing projections<br />

beyond one year encourages you to think<br />

more broadly but it also complicates the<br />

analysis due to increased uncertainty<br />

about your assumptions as the time period<br />

is extended.<br />

Most farmers are already implicitly<br />

making these long term assumptions even<br />

though they may not share or document<br />

them. For example, when a farmer purchases<br />

a machine, he has some expectations<br />

as to the value of the future productivity<br />

of the machine. However, many individuals<br />

may feel uncomfortable explicitly<br />

specifying their assumptions by writing<br />

them down because time may prove them<br />

CROP INSURANCE TODAY ® 27


wrong. But no one can foresee the future<br />

and if someone’s projection turns out to<br />

be fairly accurate over time, it probably<br />

was good fortune as much as unique<br />

insight. Individuals should be encouraged<br />

to talk about their vision for the future. It<br />

is only through the sharing of ideas that<br />

owners of the farm can build on one<br />

another’s foresight, and collectively be<br />

better prepared for the future.<br />

One suggestion for selecting the time<br />

periods for analysis is to have them align<br />

with the periods followed in describing<br />

the future (Step 3) and setting deadlines<br />

for goals (Step 4). By using the same time<br />

periods, the pieces of information fit more<br />

closely.<br />

For example, a farmer may want to<br />

specify assumptions for five years from<br />

now (Step 3), goals for five years from now<br />

(Step 4), and then project the performance<br />

of the current farm for five years from now.<br />

Such a consistent time frame allows the<br />

assumptions to be used directly in making<br />

the projections, which in turn, can be<br />

directly compared to the goals.<br />

Most farmers will have two or more<br />

time periods in mind as they complete<br />

this step of the planning process-next year<br />

and several years into the future.<br />

Which Changes Should<br />

be Considered in this<br />

Analysis?<br />

Because this step involves projecting<br />

the future performance of the current<br />

farm operation, the analysis assumes the<br />

farm will not change over the time period<br />

being evaluated. There will be no change<br />

in the commodities being produced, the<br />

acreage being operated, nor the production<br />

and marketing strategies being followed.<br />

Only prices and costs are allowed<br />

to vary in this analysis, and those variations<br />

were specified as part of Step 3.<br />

New production techniques or marketing<br />

strategies and changes in the commodities<br />

being produced should be analyzed as<br />

alternatives (Step 6) of the planning<br />

process.<br />

This strict limitation should help you<br />

recognize even minor changes that you<br />

make in your farm operations. A concern<br />

is that a series of minor changes can have<br />

an impact similar to a major change. If<br />

only major changes are analyzed, a series<br />

of unanalyzed minor changes may collectively<br />

result in a major change that has not<br />

been analyzed. Therefore, one goal of<br />

business planning is to help you recognize<br />

and evaluate even relatively minor<br />

changes. Imposing such a limit on the<br />

types of changes in this analysis should<br />

reveal minor, as well as major, changes<br />

that you need to address.<br />

An exception to this strict limitation<br />

against change is those changes that occur<br />

due to the passage of time. For example,<br />

the passage of time alters the availability<br />

and productivity of labor—young people<br />

grow more productive while older individuals,<br />

transitioning toward retirement, may<br />

be less available. Likewise, as equipment<br />

ages some items will likely need to be<br />

replaced in order to maintain the farm’s<br />

current productive capacity. For example,<br />

if one machine is replaced with a machine<br />

of identical capacity, it is probably a minor<br />

change. However, the implications of that<br />

purchase on the farm’s cash flow should<br />

be analyzed. Another example of an<br />

inevitable change may be paying down<br />

long term debt.<br />

But which changes should be analyzed<br />

as part of the current farm and which<br />

changes should be considered alternatives<br />

to be analyzed in the next step of the business<br />

planning process? Rather than list the<br />

types of changes that may fit in each category,<br />

it may be more helpful to specify a<br />

criterion that can applied. One criterion<br />

for deciding which changes to incorporate<br />

into this analysis would be to distinguish<br />

between:<br />

• Changes resulting from the passage of<br />

time, unintentional changes; or,<br />

• Changes that result from a reactive<br />

management style; or,<br />

• Changes that occur intentionally, or<br />

that result from a proactive management<br />

style.<br />

The first type of changes could be<br />

incorporated into this step as part of the<br />

current farm, whereas other types of<br />

changes could be tested as alternatives<br />

(Step 6).<br />

This criterion would distinguish<br />

between: 1) the changes that occur as a<br />

farmer grows older while continuing the<br />

same enterprises and making only minor<br />

required changes; and, 2) changes made<br />

to enhance, expand, replace, or redirect<br />

the farm operation. The criterion could be<br />

restated as changes resulting from “rolling<br />

with the punches” compared to changes<br />

arising from “taking the bull by the<br />

horns.”<br />

Many farmers expect that they will<br />

need to make more than minor changes<br />

in their farm operations, particularly in<br />

the long run. They may envision involving<br />

a new co-owner, adding or changing<br />

enterprises, adjusting the scale of operation,<br />

or adopting new production technologies<br />

and marketing strategies.<br />

Despite such expectations and recognizing<br />

the need to evaluate alternatives, it is<br />

imperative that the current farm should<br />

be analyzed so the results can serve as a<br />

benchmark against which alternatives can<br />

be compared.<br />

Preparing Enterprise<br />

Budgets<br />

A beginning step in projecting the<br />

future performance of the farm business is<br />

to prepare an enterprise budget for the<br />

future time period. You can use enterprise<br />

analysis (developed in Step 1) but substitute<br />

expected prices (from Step 3) to project<br />

revenue and costs. This procedure<br />

allows you to understand the profitability<br />

and feasibility of continuing each enterprise<br />

without change.<br />

Testing the Whole Farm:<br />

Resource Match<br />

The next component of the evaluation<br />

is to develop a projection for the whole<br />

farm in terms of resource feasibility, profit,<br />

cash flow, and the other standardized<br />

financial measures.<br />

Resource availability and needs can be<br />

analyzed with the same techniques<br />

described in Step 1. However, you should<br />

not need to emphasize testing the<br />

resource match during this step because<br />

of the limitation (as described above) that<br />

there will be no major changes to the<br />

business. This assumption implies that<br />

there will be no additional or no fewer<br />

resources, and that resource needs will<br />

28 FEBRUARY <strong>2012</strong>


not change either. Existing resource shortages<br />

or surpluses (as identified in Step 1)<br />

will presumably continue into the future.<br />

The primary exception to this assumption<br />

is that family labor will change as individuals<br />

grow older.<br />

Testing the Whole Farm:<br />

Financial Feasibility<br />

Another critical aspect of projecting the<br />

performance of the whole farm for a future<br />

time period is to analyze the business’<br />

financial feasibility. This analysis involves<br />

preparing the three basic financial statements—income<br />

statement, cash flow, and<br />

balance sheet—for the future period. Like<br />

the enterprise budgets described in a preceding<br />

paragraph, these are projections,<br />

rather than reports of past activities, and<br />

are referred to as pro forma financial statements.<br />

Outcomes for this evaluation<br />

should include:<br />

• A budget for each enterprise to project<br />

its future profitability and cash flow for<br />

that year;<br />

• A pro forma income statement for the<br />

whole farm;<br />

• A pro forma cash flow for the whole<br />

farm for the year (a monthly or quarterly<br />

cash flow projection might be difficult<br />

to develop, highly speculative, and possibly<br />

not that helpful because the timing<br />

of the cash flows are perhaps most critical<br />

only for one year at a time since<br />

most operating loans are arranged for<br />

only one year at a time);<br />

• A projected change in equity (by either<br />

preparing a pro forma balance sheet or<br />

estimating projected profit minus family<br />

living); and,<br />

• An assessment of how well your goals<br />

are being met, including whether your<br />

activities align with your skills and interests,<br />

and whether an acceptable rate of<br />

return is being earned for your labor<br />

and investments.<br />

Criteria for Deciding<br />

Whether Current<br />

Business<br />

is Adequate<br />

After preparing the projections you<br />

must decide whether the current operation,<br />

with no more than minor changes,<br />

will be adequate in the future. It is at this<br />

point that the first five steps of the planning<br />

process unite into a single thought<br />

process.<br />

How do the projections (as just completed<br />

in Step 5) of operating the current<br />

farm (as described in Step 1) in the future<br />

(as you envisioned it in Step 3) align with<br />

your likes and dislikes (as specified in<br />

Step 2) and fulfill your goals (as set forth<br />

in Step 4)?<br />

You can consider questions such as<br />

whether the projected profit is adequate;<br />

whether the business will generate sufficient<br />

cash flow; whether the activities sufficiently<br />

align with your interests; and,


whether the projected performance adequately<br />

fulfills your goals. No one else<br />

can make that decision but you. The specific<br />

criteria will differ with each person,<br />

and the goals, as set forth in Step 4,<br />

should express the primary criteria for<br />

this decision. The following list suggests<br />

several questions that can be used as criteria<br />

for deciding the future adequacy of<br />

the current business.<br />

• Would the current business, with no<br />

changes, be satisfactory five years<br />

from now?<br />

• Would the business be profitable?<br />

• Would the business generate the necessary<br />

or desired cash flow?<br />

• Would the owner equity be changing<br />

as desired?<br />

• Would the business fulfill your personal<br />

and business goals (Step 4)?<br />

• Would the business permit you to pursue<br />

activities that you are skilled and<br />

interested in (Step 2)?<br />

• Would the risk exposure align with the<br />

business’ capacity to assume risk (Step<br />

1) and your willingness to assume risk<br />

(Step 2)?<br />

In some situations, owners may decide<br />

to revisit one or more of the previous<br />

steps and expand their thoughts or analysis,<br />

recognizing that the additional effort<br />

will enable them to more confidently<br />

answer the preceding questions.<br />

If You Decide Your<br />

Current Farm is<br />

Adequate<br />

There are some steps you may want to<br />

take even though you decide that the current<br />

farm will be adequate to fulfill your<br />

goals into the future. The questions may<br />

include:<br />

• Can the business be operated more<br />

efficiently?<br />

• Should the plans for how the business<br />

is operated be enhanced?<br />

• At what point will the current farm likely<br />

become inadequate to meet my needs?<br />

Testing Efficiencies<br />

One question you may pose for yourself<br />

at this point might be, “Could I do a<br />

better job of accomplishing my goals even<br />

if I do not intend to change the operation?”<br />

One criterion for answering that<br />

question is whether additional revenue<br />

generated by making the change exceeds<br />

the cost of making the change. If the<br />

answer is yes, additional profit would<br />

result from the change; if the answer is no,<br />

the farm operation would earn greater<br />

profit by not making the change. This<br />

question and various ways of expressing<br />

the criteria are explained more fully in<br />

Step 6.<br />

The criteria described above emphasize<br />

comparing the projection of the current<br />

farm to the owners’ goals. Other comparisons<br />

include:<br />

• Comparing the projection of the current<br />

farm to current and historical performance;<br />

and,<br />

• Comparing the projection of the current<br />

farm to performance of peer businesses.<br />

There are numerous efficiency measures,<br />

but for most of these measures there<br />

is no specified absolute standard. For this<br />

reason, you have to settle for making comparisons<br />

or other relative measures. The<br />

issue of efficiency is addressed again in<br />

Step 6 (Identifying Alternatives) and Step<br />

9 (Monitoring and Control).<br />

Revising Functional Plans<br />

Another action that you can take if you<br />

decide that your current operation is adequate,<br />

is to refine your functional plans;<br />

that is, your strategies for production, marketing,<br />

labor management, risk management,<br />

and capital needs. For example, you<br />

may ask whether the strategies can be<br />

improved even though no major modifications<br />

are envisioned.<br />

A similar question that you could ask<br />

yourself would be whether you understand<br />

your functional plans well enough<br />

to explain them to someone else so they<br />

could implement those plans. Along the<br />

same line, do you recognize your assumptions<br />

so you are prepared to alter your<br />

plans if the assumptions turn out to be<br />

invalid. These and similar questions<br />

should enhance efforts to improve current<br />

functional plans.<br />

Managing risk and preparing for unexpected<br />

occurrences are two tasks farmers<br />

engage in even if their long-term plans do<br />

not include major changes. Step 8 provides<br />

ideas you may want to consider in<br />

developing contingency plans for managing<br />

in an environment of uncertainty. Step<br />

6 and Step 7 can be bypassed if there is no<br />

need to consider major changes in the<br />

farm business.<br />

If You Decide Your<br />

Current Farm is<br />

Inadequate<br />

If you decide that your current farm<br />

business is not adequate to meet your<br />

future needs, you will want to develop<br />

and test some alternatives. Step 6<br />

(Identifying and Evaluating Alternatives)<br />

and Step 7 (Transitional Plans) offer suggestions<br />

you may want to explore in<br />

developing a farm business that better<br />

meets your interests and goals.<br />

The first activity in developing alternatives<br />

is to describe (as explained in Step 6)<br />

how the current farm is inadequate. The<br />

shortcomings might be an inadequate cash<br />

flow, an unsatisfactory return to the owners’<br />

labor, or having to forego goals that<br />

you consider important. By describing<br />

these shortcomings, you are setting forth<br />

ideas to help assess whether the alternatives<br />

are better than their current practices.<br />

Conclusion<br />

The purpose of this step is to determine<br />

whether the current farm operation<br />

will meet your future needs based on your<br />

assumptions and expectations about the<br />

future, and your statements about your<br />

interests and goals. The test involves<br />

developing projections of future performance<br />

for several time periods into the<br />

future.<br />

If the current farm appears to be satisfactory<br />

for the future, you may still want<br />

to assess whether the efficiency of the<br />

operation can be improved or the functional<br />

plans enhanced. If the current farm<br />

appears inadequate for the future, you<br />

will want to consider describing the<br />

shortcomings, and identify and evaluate<br />

alternatives.<br />

30 FEBRUARY <strong>2012</strong>


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| 1.888.NAU.MPCI<br />

© 2011 NAU<br />

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<strong>Insurance</strong> Company. All Rights Reserved. NAU<br />

Country<br />

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Opportunity Provider.<br />

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NAU Country <strong>Insurance</strong> Company.


STATE RANKINGS<br />

Premiums for <strong>Crop</strong>-Hail<br />

STATE 2011 PREMIUMS* 2010 PREMIUMS* % CHANGE<br />

Nebraska 155,647 103,594 50.25<br />

Iowa 104,554 79,351 31.76<br />

Minnesota 79,942 59,562 34.22<br />

North Dakota 76,296 73,708 3.51<br />

Illinois 68,955 55,120 25.10<br />

Kansas 62,523 58,844 6.25<br />

South Dakota 56,539 37,726 49.87<br />

Texas 44,052 63,370 -30.48<br />

Montana 31,610 22,358 41.38<br />

Indiana 18,125 13,988 29.58<br />

Missouri 16,303 11,811 38.03<br />

Idaho 14,926 10,553 41.44<br />

Colorado 14,696 11,065 32.82<br />

Wisconsin 14,199 11,409 24.45<br />

Washington 12,255 9,977 22.83<br />

Arkansas 11,519 7,488 53.83<br />

Ohio 8,971 7,033 27.56<br />

North Carolina 8,888 9,056 -1.86<br />

Oklahoma 6,725 9,944 -32.37<br />

Michigan 6,105 5,345 14.22<br />

Kentucky 4,320 3,438 25.65<br />

Oregon 3,940 2,481 58.81<br />

Arizona 3,667 2,255 62.62<br />

Wyoming 2,466 1,723 43.12<br />

New Mexico 2,148 1,884 14.01<br />

Tennessee 2,028 1,424 42.42<br />

Virginia 1,958 1,700 15.18<br />

Georgia 1,846 1,246 48.15<br />

California 1,477 1,274 15.93<br />

Mississippi 921 537 71.51<br />

Alabama 781 508 53.74<br />

Florida 459 330 39.09<br />

Louisiana 317 90 252.22<br />

South Carolina 294 293 0.34<br />

New York 152 98 55.10<br />

Utah 133 54 146.30<br />

Pennsylvania 108 98 10.20<br />

New Jersey 53 54 -1.85<br />

Delaware 47 15 213.33<br />

Maryland 36 8 350.00<br />

Nevada 15 17 -11.76<br />

Massachusetts 2 1 100.00<br />

West Virginia 1 0 2,595.83<br />

Connecticut 0 0 0.00<br />

Main 0 0 0.00<br />

New Hampshire 0 0 0.00<br />

Rhode Island 0 0 0.00<br />

Vermont 0 0 0.00<br />

Totals 839,995 680,831 23.38<br />

32 FEBRUARY <strong>2012</strong><br />

*Rounded to Thousands<br />

Data Source: NCIS 6-B Adjusted Verified Totals as of 01/04/<strong>2012</strong>.<br />

© <strong>National</strong> <strong>Crop</strong> <strong>Insurance</strong> <strong>Services</strong> 01/<strong>2012</strong>.


STATE RANKINGS<br />

Premiums for MPCI<br />

STATE 2011 PREMIUMS* 2010 PREMIUMS* % CHANGE<br />

Texas 1,054,424 627,040 68.16<br />

North Dakota 1,051,068 664,597 58.15<br />

Iowa 1,028,534 592,418 73.62<br />

Illinois 924,711 566,681 63.18<br />

Minnesota 838,900 524,836 59.84<br />

Kansas 794,127 543,693 46.06<br />

Nebraska 757,846 465,885 62.67<br />

South Dakota 721,206 482,371 49.51<br />

Indiana 512,647 305,438 67.84<br />

Missouri 401,342 250,228 60.39<br />

Ohio 376,586 222,547 69.22<br />

Wisconsin 293,740 188,429 55.89<br />

California 239,962 219,251 9.45<br />

North Carolina 213,483 155,385 37.39<br />

Colorado 211,893 148,211 42.97<br />

Montana 211,691 137,416 54.05<br />

Michigan 208,968 135,253 54.50<br />

Oklahoma 202,750 132,614 52.89<br />

Georgia 194,924 122,792 58.74<br />

Kentucky 153,681 89,921 70.91<br />

Mississippi 152,845 108,391 41.01<br />

Arkansas 150,477 110,384 36.32<br />

Washington 147,339 105,316 39.90<br />

Tennessee 121,478 76,523 58.75<br />

Florida 112,514 100,248 12.24<br />

Louisiana 101,716 77,249 31.67<br />

Alabama 83,957 52,267 60.63<br />

Idaho 83,399 62,123 34.25<br />

South Carolina 76,710 52,313 46.64<br />

Virginia 74,153 47,006 57.75<br />

Pennsylvania 66,976 45,175 48.26<br />

Maryland 45,707 28,379 61.06<br />

Oregon 43,999 34,658 26.95<br />

New York 35,912 28,022 28.16<br />

Arizona 32,818 14,464 126.89<br />

New Mecico 24,579 17,146 43.35<br />

Delaware 17,522 11,026 58.92<br />

Wyoming 17,080 13,774 24.00<br />

New Jersey 8,952 5,888 52.04<br />

Maine 8,562 7,525 13.78<br />

Connecticut 5,004 4,758 5.17<br />

Utah 4,091 3,261 25.45<br />

Nevada 3,171 2,530 25.34<br />

Massachusetts 2,980 3,404 -12.46<br />

West Virginia 2,723 2,134 27.60<br />

Vermont 2,365 1,741 35.84<br />

Hawaii 1,279 1,580 -19.05<br />

New Hampshire 478 385 24.16<br />

Rhode Island 95 76 25.00<br />

Alaska 86 50 72.00<br />

Totals 11,821,452 7,592,801 55.69<br />

*Rounded to Thousands<br />

Data Source: RMA Summary of Business as of 01/02/<strong>2012</strong>.<br />

Prepared by © <strong>National</strong> <strong>Crop</strong> <strong>Insurance</strong> <strong>Services</strong> 01/<strong>2012</strong>. CROP INSURANCE TODAY 33


Continued from President’s Message<br />

Approved <strong>Insurance</strong> Providers (AIPs) and<br />

their network of federally approved crop<br />

insurance adjusters? As of January 23, <strong>2012</strong>,<br />

a record $9.1 billion in indemnity payments<br />

have been made to U.S. farmers. (The previous<br />

indemnity payment record was $8.67<br />

billion paid in 2008.) Many believe total<br />

indemnities will track with total premium,<br />

resulting in a program loss ratio (total<br />

indemnities divided by total premium) of<br />

100 percent. The program has not experienced<br />

a loss ratio of 100 percent since 2002<br />

(1.39 loss ratio).<br />

Is there more to this app? Well, for<br />

indemnities at $9 billion and counting to be<br />

paid on 349,702 policies covering approximately<br />

72 million acres on over 77 crops in<br />

50 states over a period of 16 months, there<br />

would need to be extremely reliable highspeed<br />

data processing systems for both the<br />

USDA/RMA and the AIPs. Moreover, there<br />

would need to be a risk sharing mechanism<br />

between the public and private sector to<br />

manage a risk of $113.3 billion in total crop<br />

protection nationwide. This risk sharing<br />

mechanism includes the participation of the<br />

private reinsurance sector that provides a<br />

vital source of capital to the industry,<br />

enabling the AIPs to write not only $11.8<br />

billion in premium, but also over $800 million<br />

in premium in privately delivered crophail<br />

coverage, which translates to another<br />

34 FEBRUARY <strong>2012</strong><br />

$36.8 billion in crop insurance liability. This<br />

raises the total liability to over $150 billion<br />

in crop insurance protection.<br />

So, how important is this particular app?<br />

The ability to pay insured losses on a timely<br />

basis at coverage levels that recoup the<br />

majority of the cost of production for most<br />

major field crops mitigates the economic<br />

necessity and political demands for large<br />

scale disaster payments at a time when<br />

Federal coffers are exhausted. Equally<br />

important are timely and effectual indemnities<br />

that allow the agricultural production<br />

sector to finance the <strong>2012</strong> crop. Keep in<br />

mind that we have been experiencing<br />

extremely tight supply and demand balances<br />

for our major agricultural commodities for<br />

the past several years. THE CAPABILITY OF<br />

U.S. AGRICULTURE TO SUSTAIN OVER $11<br />

BILLION IN INSURED LOSSES IN 2011 AND<br />

SEAMLESSLY FINANCE ITSELF FOR THE<br />

<strong>2012</strong> SEASON SHOULD NOT BE TAKEN<br />

FOR GRANTED. Sounds like this crop insurance<br />

program might be a pretty cool app.<br />

Is the app perfect? Certainly not. We<br />

would be remiss if we did not consider the<br />

role or future of next generation apps. In the<br />

parlance, we do need to routinely “upgrade”<br />

our app from time to time. What about next<br />

generation apps? The FCIC Board, in conjunction<br />

with the staff at RMA, continually<br />

evaluates new product proposals submitted<br />

by third party stakeholders. Since 2002 at<br />

least 23 new products have been submitted<br />

and approved through this process. RMA is<br />

also currently implementing and reviewing<br />

new features associated with its actuarial<br />

procedures. Although concerns have been<br />

expressed over this process, the critical issue<br />

is that RMA and the industry are striving to<br />

ensure that actuarially sound premiums are<br />

established to ensure the financial stability of<br />

the program and provide benefit for the<br />

farmer. Additionally, RMA and the industry<br />

are engaged in several initiatives to improve<br />

the delivery system.<br />

Well, I think we have pretty much<br />

exhausted the metaphor here, and I sure<br />

hope I have made my point. Admittedly,<br />

my tone can be viewed as somewhat acerbic<br />

and mildly cynical, but before we proceed<br />

into the next rendition of the Farm Bill<br />

debate, and we evaluate a Pandora’s Box of<br />

alternative agricultural policy choices, let’s<br />

keep in mind that there is an “app” that<br />

performs quite well, all things considered.<br />

Not only does the crop insurance app do<br />

what it is supposed to do, it has an existing<br />

institutional framework that can adapt and<br />

grow in order to perform the necessary<br />

upgrades required to meet the future risk<br />

management needs of U.S. agriculture. And<br />

to the crop insurance industry and the staff<br />

of the RMA - keep APP the good work.<br />

Lastly, welcome to the first <strong>2012</strong> issue of<br />

<strong>Crop</strong> <strong>Insurance</strong> TODAY. This issue contains<br />

an in-depth look at the cost of the Federal<br />

crop insurance program. Sometimes data<br />

can be misunderstood or misrepresented as<br />

to the true costs to taxpayers, and so Frank<br />

Schnapp and Keith Collins help explain<br />

how the numbers all work together and<br />

what they really mean. The magazine also<br />

highlights various industry activities that<br />

occurred during the final quarter of 2011.<br />

With this issue, we are introducing a<br />

new digital version of the magazine, which<br />

will allow you to read articles online,<br />

search for key words, directly link to websites<br />

listed in resource documentation and<br />

provides “one click” access for the advertisers.<br />

And very soon, the magazine will also<br />

have its own “app.” This app will be iPad<br />

and Droid friendly and will provide you<br />

direct access to the digital publication from<br />

your tablet device. Stay tuned to the online<br />

version of the magazine for more information<br />

about when the app is available for<br />

download!


Continued from President’s Message<br />

Approved <strong>Insurance</strong> Providers (AIPs) and<br />

their network of federally approved crop<br />

insurance adjusters? As of January 23, <strong>2012</strong>,<br />

a record $9.1 billion in indemnity payments<br />

have been made to U.S. farmers. (The previous<br />

indemnity payment record was $8.67<br />

billion paid in 2008.) Many believe total<br />

indemnities will track with total premium,<br />

resulting in a program loss ratio (total<br />

indemnities divided by total premium) of<br />

100 percent. The program has not experienced<br />

a loss ratio of 100 percent since 2002<br />

(1.39 loss ratio).<br />

Is there more to this app? Well, for<br />

indemnities at $9 billion and counting to be<br />

paid on 349,702 policies covering approximately<br />

72 million acres on over 77 crops in<br />

50 states over a period of 16 months, there<br />

would need to be extremely reliable highspeed<br />

data processing systems for both the<br />

USDA/RMA and the AIPs. Moreover, there<br />

would need to be a risk sharing mechanism<br />

between the public and private sector to<br />

manage a risk of $113.3 billion in total crop<br />

protection nationwide. This risk sharing<br />

mechanism includes the participation of the<br />

private reinsurance sector that provides a<br />

vital source of capital to the industry,<br />

enabling the AIPs to write not only $11.8<br />

billion in premium, but also over $800 million<br />

in premium in privately delivered crophail<br />

coverage, which translates to another<br />

34 FEBRUARY <strong>2012</strong><br />

$36.8 billion in crop insurance liability. This<br />

raises the total liability to over $150 billion<br />

in crop insurance protection.<br />

So, how important is this particular app?<br />

The ability to pay insured losses on a timely<br />

basis at coverage levels that recoup the<br />

majority of the cost of production for most<br />

major field crops mitigates the economic<br />

necessity and political demands for large<br />

scale disaster payments at a time when<br />

Federal coffers are exhausted. Equally<br />

important are timely and effectual indemnities<br />

that allow the agricultural production<br />

sector to finance the <strong>2012</strong> crop. Keep in<br />

mind that we have been experiencing<br />

extremely tight supply and demand balances<br />

for our major agricultural commodities for<br />

the past several years. THE CAPABILITY OF<br />

U.S. AGRICULTURE TO SUSTAIN OVER $11<br />

BILLION IN INSURED LOSSES IN 2011 AND<br />

SEAMLESSLY FINANCE ITSELF FOR THE<br />

<strong>2012</strong> SEASON SHOULD NOT BE TAKEN<br />

FOR GRANTED. Sounds like this crop insurance<br />

program might be a pretty cool app.<br />

Is the app perfect? Certainly not. We<br />

would be remiss if we did not consider the<br />

role or future of next generation apps. In the<br />

parlance, we do need to routinely “upgrade”<br />

our app from time to time. What about next<br />

generation apps? The FCIC Board, in conjunction<br />

with the staff at RMA, continually<br />

evaluates new product proposals submitted<br />

by third party stakeholders. Since 2002 at<br />

least 23 new products have been submitted<br />

and approved through this process. RMA is<br />

also currently implementing and reviewing<br />

new features associated with its actuarial<br />

procedures. Although concerns have been<br />

expressed over this process, the critical issue<br />

is that RMA and the industry are striving to<br />

ensure that actuarially sound premiums are<br />

established to ensure the financial stability of<br />

the program and provide benefit for the<br />

farmer. Additionally, RMA and the industry<br />

are engaged in several initiatives to improve<br />

the delivery system.<br />

Well, I think we have pretty much<br />

exhausted the metaphor here, and I sure<br />

hope I have made my point. Admittedly,<br />

my tone can be viewed as somewhat acerbic<br />

and mildly cynical, but before we proceed<br />

into the next rendition of the Farm Bill<br />

debate, and we evaluate a Pandora’s Box of<br />

alternative agricultural policy choices, let’s<br />

keep in mind that there is an “app” that<br />

performs quite well, all things considered.<br />

Not only does the crop insurance app do<br />

what it is supposed to do, it has an existing<br />

institutional framework that can adapt and<br />

grow in order to perform the necessary<br />

upgrades required to meet the future risk<br />

management needs of U.S. agriculture. And<br />

to the crop insurance industry and the staff<br />

of the RMA - keep APP the good work.<br />

Lastly, welcome to the first <strong>2012</strong> issue of<br />

<strong>Crop</strong> <strong>Insurance</strong> TODAY. This issue contains<br />

an in-depth look at the cost of the Federal<br />

crop insurance program. Sometimes data<br />

can be misunderstood or misrepresented as<br />

to the true costs to taxpayers, and so Frank<br />

Schnapp and Keith Collins help explain<br />

how the numbers all work together and<br />

what they really mean. The magazine also<br />

highlights various industry activities that<br />

occurred during the final quarter of 2011.<br />

With this issue, we are introducing a<br />

new digital version of the magazine, which<br />

will allow you to read articles online,<br />

search for key words, directly link to websites<br />

listed in resource documentation and<br />

provides “one click” access for the advertisers.<br />

And very soon, the magazine will also<br />

have its own “app.” This app will be iPad<br />

and Droid friendly and will provide you<br />

direct access to the digital publication from<br />

your tablet device. Stay tuned to the online<br />

version of the magazine for more information<br />

about when the app is available for<br />

download!


Call<br />

800-951-6247<br />

and ask for Donna<br />

$.20 each,<br />

plus shipping.<br />

For orders over 500, please call<br />

for discounted price.<br />

36 FEBRUARY <strong>2012</strong>


The new digital <strong>Crop</strong> <strong>Insurance</strong> TODAY® magazine is<br />

now online. TODAY® is now fully functional as an online,<br />

interactive publication as well as print. This new digital<br />

feature will enable NCIS to touch our subscribers with<br />

timely industry information and updates. Visit www.ag-risk.org<br />

or www.cropinsuranceinamerica.com to view TODAY® online.<br />

<strong>Crop</strong>InsTODAY<br />

There’s an app for that!<br />

Smartphone mobile and tablet applications coming soon!


<strong>2012</strong> CROP INSURANCE CHARTS<br />

INSURABLE CROPS<br />

Locations&Plans<br />

The following pages contain a list of all federally subsidized insurable crops, what states they are insurable in, under what plan(s)<br />

of insurance, and the number of counties where they are insurable. Please note this information is current as of January 11, <strong>2012</strong>.<br />

Changes are constantly occurring in the crop insurance program and you should contact your crop insurance agent for the most<br />

up-to-date information.<br />

The numbers in the matrix refer to specific insurances plans by the plan number as identified by the Risk Management Agency<br />

(RMA). A number containing a dash indicates that the crop is not insurable in every county in the state. The number following the<br />

dash represents the number of counties in that state the crop is insurable under the plan of insurance indicated by the number before<br />

the dash. For example, the code 01-16 means that specific crop is insurable under the Yield Protection (YP) plan of insurance in sixteen<br />

counties in the state. If the number does not contain a dash, it is insurable in every county in the state. A number including (P)<br />

indicates a pilot program.<br />

01 = YP-Yield Protection<br />

02 = RP-Revenue Protection<br />

03 = RPHPE-Revenue Protection with Harvest<br />

Price Exclusion<br />

04 = GRP-Group Risk Plan<br />

05 = GRIP-HRO-Group Risk Income Protection-<br />

Harvest Revenue Option<br />

06 = GRIP-Group Risk Income Protection<br />

13 = RI-Rainfall Index<br />

14 = VI-Vegetation Index<br />

40 = TDO-Tree Based Dollar Amount of <strong>Insurance</strong><br />

41 = PRV-Pecan Revenue<br />

43 = AQDOL-Aquaculture Dollar<br />

46 = ARC-Avocado Revenue Coverage<br />

47 = ARH-Actual Revenue History<br />

50 = DO-Dollar Amount of <strong>Insurance</strong><br />

51 = FD-Fixed Dollar<br />

55 = YDO-Yield Based Dollar Amount of <strong>Insurance</strong><br />

61 = AGR-L-Adjusted Gross Revenue - Lite<br />

63 = AGR-Adjusted Gross Revenue<br />

81 = LRP-Livestock Risk Protection<br />

82 = LGM-Livestock Gross Margin<br />

90 = APH-Actual Production History<br />

CV-ComprehensiveTree Value<br />

QE-Quarantine Endorsement<br />

PY-Personal T Yield<br />

PO-Price Endorsement Option<br />

NS-Stage Removal<br />

HF-Hail & Fire Protection<br />

38 FEBRUARY <strong>2012</strong>


STATE<br />

Alabama<br />

Alaska<br />

Arizona<br />

Arkansas<br />

California<br />

Colorado<br />

Connecticut<br />

Delaware<br />

Florida<br />

Georgia<br />

Hawaii<br />

Idaho<br />

Illinois<br />

Indiana<br />

Iowa<br />

Kansas<br />

Kentucky<br />

Louisiana<br />

Maine<br />

Maryland<br />

Massachusetts<br />

Michigan<br />

Minnesota<br />

Mississippi<br />

Missouri<br />

Montana<br />

Nebraska<br />

Nevada<br />

New Hampshire<br />

New Jersey<br />

New Mexico<br />

New York<br />

North Carolina<br />

North Dakota<br />

Ohio<br />

Oklahoma<br />

Oregon<br />

Pennsylvania<br />

Rhode Island<br />

South Carolina<br />

South Dakota<br />

Tennessee<br />

Texas<br />

Utah<br />

Vermont<br />

Virginia<br />

Washington<br />

West Virginia<br />

Wisconsin<br />

Wyoming<br />

ADJUSTED GROSS<br />

REVENUE ALFALFA<br />

SEED<br />

ALMONDS APICULTURE APPLES<br />

APRICOTS AVOCADO BANANA<br />

BARLEY<br />

BEANS<br />

BLUEBERRIES<br />

AGR<br />

(P)63-8<br />

(P)63<br />

(P)63<br />

(P)63-6<br />

(P)63-3<br />

(P)63<br />

(P)63-21<br />

(P)63<br />

(P)63-9<br />

(P)63<br />

(P)63<br />

(P)63-16<br />

(P)63-11<br />

(P)63-14<br />

(P)63<br />

(P)63<br />

(P)63-40<br />

(P)63-11<br />

AGR-Lite<br />

61<br />

61<br />

61<br />

61-63<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61,23<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61-20<br />

61<br />

61-52<br />

61<br />

61<br />

61-66<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

61<br />

Fresh<br />

90-13<br />

90-4<br />

90-5<br />

90-7<br />

Processing<br />

90-13<br />

Avocado<br />

(P)90-6QE<br />

(P)90-1<br />

Trees<br />

(P)40-1CV<br />

Banana<br />

(P)90<br />

Tree<br />

(P)40<br />

Dry<br />

90-2<br />

90-17<br />

90-24<br />

90-12<br />

90-2<br />

90-12<br />

90-28<br />

90-40<br />

90-11<br />

90-25<br />

90-4<br />

90-13<br />

(P)90-36PY<br />

90-2<br />

90-13<br />

90-18<br />

90-1<br />

90-6<br />

90-3<br />

90-7<br />

Fresh<br />

Market<br />

90-9<br />

90-4<br />

90-2<br />

Processing<br />

90-2<br />

90-2<br />

90-4<br />

90-2<br />

90-10<br />

90-9<br />

90-15<br />

90-3<br />

90-1<br />

90-18<br />

90-1<br />

90-9<br />

90-15<br />

90-4<br />

90-5<br />

90-2<br />

90-7<br />

90-42<br />

90-1<br />

90-4<br />

90-5<br />

90-12<br />

90-8<br />

90-5<br />

90-8<br />

90-4<br />

90-6<br />

90-7<br />

90-1<br />

90-6<br />

01-4,02-4,03-4<br />

01-5,02-5,03-5<br />

01-33,02-33,03-33<br />

01-32,02-32,03-32<br />

01,02,03<br />

01-4,02-4,03-4<br />

01-43,02-43,03-43<br />

01-1,02-1,03-1<br />

01-1,02-1,03-1<br />

01-7,02-7,03-7<br />

01-75,02-75,03-75<br />

01-8,02-8,03-8<br />

01,02,03<br />

01-18,02-18,03-18<br />

01-29,02-29,03-29<br />

01-74,02-74,03-74<br />

01-7,02-7,03-7<br />

01-55,02-55,03-55<br />

01-18,02-18,03-18<br />

01-12,02-12,03-12<br />

01-7,02-7,03-7<br />

01-4,02-4,03-4<br />

01-15,02-15,03-15<br />

01-57,02-57,03-57<br />

(P)01PY,(P)02PY,(P)03PY<br />

01-1,02-1,03-1<br />

01-24,02-24,03-24<br />

01-30,02-30,03-30<br />

01-54,02-54,03-54<br />

01-6,02-6,03-6<br />

01,02,03<br />

01-2,02-2,03-2<br />

01-43,02-43,03-43<br />

01-25,02-25,03-25<br />

01-1,02-1,03-1<br />

01-62,02-62,03-62<br />

01-38,02-38,03-38<br />

01-1,02-1,03-1<br />

01-60,02-60,03-60<br />

01-18,02-18,03-18<br />

(P)90-2<br />

(P)90-2<br />

(P)90-1<br />

(P)90-2<br />

(P)90-1<br />

(P)90-2<br />

(P)90-2<br />

13<br />

14<br />

13<br />

13<br />

13-48,14-15<br />

13<br />

13<br />

14<br />

13<br />

13-23<br />

13<br />

13-114<br />

13<br />

14<br />

14<br />

14<br />

13<br />

13<br />

13<br />

13<br />

14<br />

13<br />

13<br />

14<br />

13<br />

14<br />

13-98<br />

13<br />

14<br />

90-16<br />

90-2<br />

90-1<br />

90-25<br />

90-3<br />

90<br />

90-6<br />

90-5<br />

90-5<br />

90-9<br />

90-11<br />

90-8<br />

90-12<br />

90-24<br />

90-2<br />

90-9<br />

90<br />

90-12<br />

90-3<br />

90-25<br />

90-18<br />

90-12<br />

90-16<br />

90-45<br />

90-4<br />

90-4<br />

90-2<br />

90-2<br />

90-8<br />

90-27<br />

90-14<br />

90-14<br />

90-14<br />

CROP INSURANCE TODAY ® 39


STATE<br />

Alabama<br />

Alaska<br />

Arizona<br />

Arkansas<br />

California<br />

Colorado<br />

Connecticut<br />

Delaware<br />

Florida<br />

Georgia<br />

Hawaii<br />

Idaho<br />

Illinois<br />

Indiana<br />

Iowa<br />

Kansas<br />

Kentucky<br />

Louisiana<br />

Maine<br />

Maryland<br />

Massachusetts<br />

Michigan<br />

Minnesota<br />

Mississippi<br />

Missouri<br />

Montana<br />

Nebraska<br />

Nevada<br />

New Hampshire<br />

New Jersey<br />

New Mexico<br />

New York<br />

North Carolina<br />

North Dakota<br />

Ohio<br />

Oklahoma<br />

Oregon<br />

Pennsylvania<br />

Rhode Island<br />

South Carolina<br />

South Dakota<br />

Tennessee<br />

Texas<br />

Utah<br />

Vermont<br />

Virginia<br />

Washington<br />

West Virginia<br />

Wisconsin<br />

Wyoming<br />

BUCKWHEAT CABBAGE CAMELINA CANOLA<br />

90-1<br />

01-1,02-1,03-1<br />

90-6<br />

90-5<br />

01-12,02-12,03-12<br />

90-1<br />

01-26,02-26,03-26<br />

90-8<br />

90-2<br />

01-23,02-23,03-23<br />

90-41<br />

01-18,02-18,03-18<br />

90-12<br />

90-3<br />

90-1<br />

90-2<br />

90-3<br />

90-1<br />

90-11<br />

(P)01PY,(P)02PY,(P)03PY<br />

01-10,02-10,03-10<br />

01-7,02-7,03-7<br />

90-1<br />

90-3<br />

90-1<br />

90-2<br />

01-13,02-13,03-13<br />

90-1<br />

CARAMBOLA<br />

TREES<br />

(P)40-1<br />

CHERRIES<br />

(P)47-9<br />

(P)47-5<br />

(P)47-2<br />

(P)47-1<br />

(P)47-7<br />

(P)47-1<br />

(P)47-10<br />

CHILE<br />

PEPPERS<br />

(P)51-1<br />

(P)51-2<br />

I-VIII<br />

50-29<br />

CITRUS<br />

CITRUS FRESH<br />

GRAPEFRUIT<br />

All Other<br />

Citrus Trees<br />

NECTARINES<br />

All Other<br />

Grapefruit<br />

Grapefruit<br />

Rio Red, Star Ruby<br />

& Ruby Red<br />

90-3<br />

90-8<br />

(P)90-8QE<br />

(P)40-28CV<br />

90-4<br />

90-5<br />

90-3<br />

90-3<br />

90-7<br />

Trees<br />

(P)40-28CV<br />

(P)40-3<br />

Trees<br />

(P)40-4<br />

LEMON<br />

Lemons<br />

90-3<br />

(P)90-12QE<br />

40 FEBRUARY <strong>2012</strong>


STATE<br />

Alabama<br />

Alaska<br />

Arizona<br />

Arkansas<br />

California<br />

Colorado<br />

Connecticut<br />

Delaware<br />

Florida<br />

Georgia<br />

Hawaii<br />

Idaho<br />

Illinois<br />

Indiana<br />

Iowa<br />

Kansas<br />

Kentucky<br />

Louisiana<br />

Maine<br />

Maryland<br />

Massachusetts<br />

Michigan<br />

Minnesota<br />

Mississippi<br />

Missouri<br />

Montana<br />

Nebraska<br />

Nevada<br />

New Hampshire<br />

New Jersey<br />

New Mexico<br />

New York<br />

North Carolina<br />

North Dakota<br />

Ohio<br />

Oklahoma<br />

Oregon<br />

Pennsylvania<br />

Rhode Island<br />

South Carolina<br />

South Dakota<br />

Tennessee<br />

Texas<br />

Utah<br />

Vermont<br />

Virginia<br />

Washington<br />

West Virginia<br />

Wisconsin<br />

Wyoming<br />

LIME TREES MANDARINS MANGO TREES<br />

90-3<br />

(P)90-8QE<br />

(P)40-3<br />

(P)40-1<br />

Early, Midseason & Late<br />

90-3<br />

CITRUS (continued from previous page)<br />

ORANGES<br />

Navel<br />

Sweet & Valencia<br />

90-3<br />

90-3<br />

(P)47-4QE,(P)90-9QE<br />

(P)90-10QE<br />

Trees<br />

(P)40-28CV<br />

(P)40-3<br />

TANGELOS TANGERINE<br />

Minneola Orlando<br />

TREES<br />

90-3<br />

90-3<br />

(P)90-7QE<br />

(P)90-2QE<br />

40-3<br />

CLAMS<br />

(P)43-4<br />

(P)43-5<br />

(P)43-2<br />

(P)43-2<br />

COFFEE<br />

Coffee<br />

Tree<br />

(P)90<br />

(P)40CV<br />

CROP INSURANCE TODAY 41


STATE<br />

Alabama<br />

Alaska<br />

Arizona<br />

Arkansas<br />

California<br />

Colorado<br />

Connecticut<br />

Delaware<br />

Florida<br />

Georgia<br />

Hawaii<br />

Idaho<br />

Illinois<br />

Indiana<br />

Iowa<br />

Kansas<br />

Kentucky<br />

Louisiana<br />

Maine<br />

Maryland<br />

Massachusetts<br />

Michigan<br />

Minnesota<br />

Mississippi<br />

Missouri<br />

Montana<br />

Nebraska<br />

Nevada<br />

New Hampshire<br />

New Jersey<br />

New Mexico<br />

New York<br />

North Carolina<br />

North Dakota<br />

Ohio<br />

Oklahoma<br />

Oregon<br />

Pennsylvania<br />

Rhode Island<br />

South Carolina<br />

South Dakota<br />

Tennessee<br />

Texas<br />

Utah<br />

Vermont<br />

Virginia<br />

Washington<br />

West Virginia<br />

Wisconsin<br />

Wyoming<br />

CORN COTTON<br />

CRANBERRIES FIGS FLAX<br />

FORAGE<br />

Corn<br />

01-64,02-64,03-64<br />

01-4,02-4,03-4<br />

01-46,02-46,03-46<br />

01-19,02-19,03-19<br />

01-26,02-26,03-26<br />

01,02,03<br />

01,02,03<br />

01-28,02-28,03-28<br />

01-140,02-140,03-140<br />

01-19,02-19,03-19<br />

01,02,03,04-95,05-95,06-95<br />

01,02,03,04-84,05-84,06-84<br />

01,02,03,04,05,06<br />

01,02,03<br />

01-104,02-104,03-104,04-34,05-34,06-34<br />

01-35,02-35,03-35<br />

01,02,03<br />

01-23,02-23,03-23<br />

01-12,02-12,03-12<br />

01-76,02-76,03-76,04-38,05-38,06-38<br />

01-86,02-86,03-86,04-60,05-60,06-60<br />

01-74,02-74,03-74<br />

01-102,02-102,03-102,04-62,05-62,06-62<br />

01-24,02-24,03-24<br />

01-91,02-91,03-91,04-41,05-41,06-41<br />

01,02,03<br />

01-16,02-16,03-16<br />

01-20,02-20,03-20<br />

01-52,02-52,03-52<br />

01,02,03<br />

(P)01PY,(P)02PY,(P)03PY<br />

01,02,03,04-65,05-65,06-65<br />

01-61,02-61,03-61<br />

01-18,02-18,03-18<br />

01-66,02-66,03-66<br />

01,02,03<br />

01,02,03<br />

01,02,03,04-27,05-27,06-27<br />

01-88,02-88,03-88,04-6,05-6,06-6<br />

01-141,02-141,03-141<br />

01-18,02-18,03-18<br />

01,02,03<br />

01-97,02-97,03-97<br />

01-27,02-27,03-27<br />

01,02,03<br />

01,02,03,04-58,05-58,06-58<br />

01-11,02-11,03-11<br />

Sweet<br />

90<br />

90-12<br />

90-10<br />

90-11<br />

90-5<br />

90-38<br />

90-11<br />

90-12<br />

90-12<br />

90-13<br />

90-40<br />

Cotton<br />

01-63,02-63,03-63<br />

01-9,02-9,03-9<br />

01-25,02-25,03-25,04-4,05-4,06-4<br />

01-12,02-12,03-12<br />

01-25,02-25,03-25<br />

01-100,02-100,03-100,-04-12,05-12,06-12<br />

01-27,02-27,03-27<br />

01-23,02-23,03-23,04-5,05-5,06-5<br />

01-62,02-62,03-62,04-4,05-4,06-4<br />

01-7,02-7,03-7,04-4,05-4,06-4<br />

01-11,02-11,03-11<br />

01-58,02-58,03-58,04-6,05-6,06-6<br />

01-38,02-38,03-38<br />

01-42,02-42,03-42<br />

01-24,02-24,03-24,04-5,05-5,06-5<br />

01-173,02-173,03-173,04-30,05-30,06-30<br />

01-15,02-15,03-15<br />

Extra Long Staple<br />

90-7<br />

90-5<br />

90-3<br />

90-16<br />

90-4<br />

90-3<br />

90-26<br />

90-4<br />

(P)90PY<br />

90<br />

Production<br />

90-5<br />

90-6<br />

90-25<br />

90-2<br />

04-2,90-2<br />

90-86<br />

90-2<br />

90-10<br />

90-22<br />

04-39,90-86<br />

90<br />

90-9<br />

90<br />

90-1<br />

90-16<br />

90-8<br />

90<br />

90-2<br />

04-28,90-66<br />

90<br />

90-17<br />

04-62,90<br />

90<br />

90-6<br />

90-2<br />

90-2<br />

90-3<br />

90-2<br />

90-15<br />

Fresh Market<br />

50-1<br />

50-4<br />

50<br />

50-11<br />

50-3<br />

50<br />

50-9<br />

50-11<br />

50<br />

50-16<br />

50-54<br />

50-66<br />

50<br />

50<br />

50-2<br />

Hybird Seed<br />

55-47<br />

55-39<br />

55-64<br />

55-8<br />

55-10<br />

55-5<br />

55-35<br />

55-6<br />

55-1<br />

55-4<br />

55-11<br />

Seeding<br />

50-9<br />

50-86<br />

50-2<br />

50-10<br />

50-8<br />

50-86<br />

50<br />

50-8<br />

50-4<br />

50-1<br />

50-16<br />

50-8<br />

50<br />

50-66<br />

50<br />

50-17<br />

50-1<br />

50<br />

50<br />

42 FEBRUARY <strong>2012</strong>


STATE<br />

Alabama<br />

Alaska<br />

Arizona<br />

Arkansas<br />

California<br />

Colorado<br />

Connecticut<br />

Delaware<br />

Florida<br />

Georgia<br />

Hawaii<br />

Idaho<br />

Illinois<br />

Indiana<br />

Iowa<br />

Kansas<br />

Kentucky<br />

Louisiana<br />

Maine<br />

Maryland<br />

Massachusetts<br />

Michigan<br />

Minnesota<br />

Mississippi<br />

Missouri<br />

Montana<br />

Nebraska<br />

Nevada<br />

New Hampshire<br />

New Jersey<br />

New Mexico<br />

New York<br />

North Carolina<br />

North Dakota<br />

Ohio<br />

Oklahoma<br />

Oregon<br />

Pennsylvania<br />

Rhode Island<br />

South Carolina<br />

South Dakota<br />

Tennessee<br />

Texas<br />

Utah<br />

Vermont<br />

Virginia<br />

Washington<br />

West Virginia<br />

Wisconsin<br />

Wyoming<br />

GRAPES GRASS<br />

SEED<br />

CATTLE<br />

LIVESTOCK<br />

SWINE<br />

LAMB<br />

MACADAMIA<br />

NUTS/TREES<br />

MINT NURSERY<br />

MUSTARD<br />

MILLET OATS OLIVES ONIONS<br />

PAPAYA<br />

Grapes<br />

90-2<br />

90-31<br />

90-1<br />

90-6<br />

90-4<br />

90-2<br />

90-1<br />

90-12<br />

90-1<br />

90-3<br />

90-15<br />

90-1<br />

90-8<br />

90-18<br />

Table Grapes<br />

90-9<br />

Feeder<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

82<br />

82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

82<br />

82<br />

82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

82<br />

82<br />

81,82<br />

82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

82<br />

82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

81,82<br />

50-3,90-3<br />

90-15<br />

90-10<br />

90-13<br />

(P)90-2PY<br />

90-26<br />

90-2<br />

90-4<br />

90-5<br />

90-2<br />

90-10<br />

90-6<br />

90-4<br />

90-21<br />

90-1<br />

90-13<br />

90-19<br />

90-15<br />

90-11<br />

90-81<br />

90-41<br />

90-29<br />

90-4<br />

90<br />

90-92<br />

90-10<br />

90<br />

90-6<br />

90-66<br />

90-86<br />

90-1<br />

90-15<br />

90-52<br />

90-82<br />

90-2<br />

90-4<br />

90-46<br />

90-82<br />

(P)90PY<br />

90-37<br />

90-51<br />

90-25<br />

90-66<br />

90-37<br />

90<br />

90-1<br />

90-114<br />

90-14<br />

90-13<br />

90-24<br />

90-27<br />

90<br />

90-17<br />

90-12 90-2<br />

90-9<br />

90-14<br />

90-4<br />

90-2<br />

90-15<br />

90-3<br />

90-3<br />

(P)90-12NS<br />

90-6<br />

90-14<br />

90-3<br />

90-6<br />

Papaya<br />

(P)90<br />

Tree<br />

(P)40CV<br />

90-13<br />

90-6<br />

(P)90-18PY<br />

90-1<br />

90-7<br />

(P)50PO<br />

50-5<br />

50-7<br />

(P)50PO<br />

50-44<br />

50<br />

(P)50PO<br />

50<br />

(P)50PO<br />

(P)50PO<br />

50<br />

50<br />

50-45<br />

5016<br />

50<br />

50<br />

(P)50PO<br />

(P)50PO<br />

50<br />

(P)50PO<br />

(P)50PO<br />

50-31<br />

50<br />

(P)50PO<br />

50<br />

50<br />

50<br />

50-5<br />

50<br />

(P)50PO<br />

50<br />

(P)50PO<br />

(P)50PO<br />

50<br />

50-40<br />

50<br />

(P)50PO<br />

(P)50PO<br />

50<br />

(P)50PO<br />

50<br />

(P)50PO<br />

50<br />

50-10<br />

50<br />

(P)50-102PO<br />

(P)50PO<br />

50<br />

50<br />

50<br />

Cattle<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

Dairy<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

82<br />

(P)90-4<br />

(P)90-2<br />

Fed<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

81<br />

CROP INSURANCE TODAY 43


STATE<br />

Alabama<br />

Alaska<br />

Arizona<br />

Arkansas<br />

California<br />

Colorado<br />

Connecticut<br />

Delaware<br />

Florida<br />

Georgia<br />

Hawaii<br />

Idaho<br />

Illinois<br />

Indiana<br />

Iowa<br />

Kansas<br />

Kentucky<br />

Louisiana<br />

Maine<br />

Maryland<br />

Massachusetts<br />

Michigan<br />

Minnesota<br />

Mississippi<br />

Missouri<br />

Montana<br />

Nebraska<br />

Nevada<br />

New Hampshire<br />

New Jersey<br />

New Mexico<br />

New York<br />

North Carolina<br />

North Dakota<br />

Ohio<br />

Oklahoma<br />

Oregon<br />

Pennsylvania<br />

Rhode Island<br />

South Carolina<br />

South Dakota<br />

Tennessee<br />

Texas<br />

Utah<br />

Vermont<br />

Virginia<br />

Washington<br />

West Virginia<br />

Wisconsin<br />

Wyoming<br />

PASTURE RANGELAND<br />

FORAGE<br />

PEACHES<br />

PEANUTS PEARS<br />

PEAS<br />

PECANS PEPPERS PISTACHIOS PLUMS POPCORN POTATOES<br />

(P)13<br />

(P)14<br />

(P)13<br />

(P)13<br />

(P)13-48,(P)14-15<br />

(P)13<br />

(P)13<br />

(P)14<br />

(P)13<br />

(P)13-23<br />

(P)13<br />

(P)13-114<br />

(P)13<br />

(P)14<br />

(P)14<br />

(P)14<br />

(P)13<br />

(P)13<br />

(P)13<br />

(P)13<br />

(P)14<br />

(P)13<br />

(P)13<br />

(P)14<br />

(P)13<br />

(P)14<br />

(P)13-98<br />

(P)13<br />

(P)14<br />

90-32<br />

90-2<br />

90-24<br />

90-77<br />

90-1<br />

90-18<br />

90-3<br />

90-28<br />

90-38<br />

90-27<br />

90-85<br />

90-10<br />

90-9<br />

90-7<br />

90-1<br />

90-12<br />

Dry<br />

90-18<br />

90-1<br />

90-27<br />

(P)90PY<br />

90-3<br />

90-27<br />

90-11<br />

Green<br />

90<br />

90-20<br />

90-8<br />

90-4<br />

90-1<br />

90-7<br />

90-1<br />

90-34<br />

90-17<br />

90-3<br />

90-10<br />

90-16<br />

90-42<br />

(P)90-2HF<br />

(P)90-21HF<br />

(P)90-1HF<br />

90-10<br />

90-4<br />

90-5<br />

90-4<br />

01-1,02-1,03-1<br />

01-5,02-5,03-5<br />

01-16,02-16,03-16<br />

01-46,02-46,03-46<br />

01-39,02-39,03-39<br />

01-4,02-4,03-4<br />

01-3,02-3,03-3<br />

01-2,02-2,03-2<br />

01-17,02-17,03-17<br />

01-61,02-61,03-61<br />

01-22,02-22,03-22<br />

01-5,02-5,03-5<br />

90-3<br />

90-3<br />

90-2<br />

90-5<br />

90-9<br />

90-1<br />

90-2<br />

90-11<br />

90-26<br />

90-1<br />

90-3<br />

90-4<br />

90-5<br />

90-3<br />

90-2<br />

90-33<br />

90-28<br />

90-2<br />

90-8<br />

90-12<br />

90-1<br />

90-6<br />

90-5<br />

90-15<br />

90-10<br />

90-25<br />

90-1<br />

90-3<br />

90-14<br />

90-13<br />

90-2<br />

90-5<br />

90-20<br />

90-2<br />

90-13<br />

90-17<br />

90-2<br />

41-24<br />

41-5<br />

41-1<br />

41-83<br />

41-2<br />

41-6<br />

41-6<br />

41-16<br />

50-13<br />

Peaches<br />

90-7<br />

90-15<br />

90-3<br />

90-2<br />

90-16<br />

90-4<br />

90-2<br />

90-5<br />

90-7<br />

90-4<br />

90-9<br />

90-12<br />

90-2<br />

90-1<br />

90-8<br />

90-6<br />

90-22<br />

90-4<br />

90-30<br />

90-1<br />

90-14<br />

90-10<br />

90-21<br />

90-1<br />

90-20<br />

90-6<br />

Fresh Freestone<br />

90-8<br />

90-4<br />

90-5<br />

90-1<br />

90-7<br />

Processing Cling<br />

90-10<br />

Processing<br />

Freestone<br />

90-8<br />

44 FEBRUARY <strong>2012</strong>


STATE<br />

Alabama<br />

Alaska<br />

Arizona<br />

Arkansas<br />

California<br />

Colorado<br />

Connecticut<br />

Delaware<br />

Florida<br />

Georgia<br />

Hawaii<br />

Idaho<br />

Illinois<br />

Indiana<br />

Iowa<br />

Kansas<br />

Kentucky<br />

Louisiana<br />

Maine<br />

Maryland<br />

Massachusetts<br />

Michigan<br />

Minnesota<br />

Mississippi<br />

Missouri<br />

Montana<br />

Nebraska<br />

Nevada<br />

New Hampshire<br />

New Jersey<br />

New Mexico<br />

New York<br />

North Carolina<br />

North Dakota<br />

Ohio<br />

Oklahoma<br />

Oregon<br />

Pennsylvania<br />

Rhode Island<br />

South Carolina<br />

South Dakota<br />

Tennessee<br />

Texas<br />

Utah<br />

Vermont<br />

Virginia<br />

Washington<br />

West Virginia<br />

Wisconsin<br />

Wyoming<br />

PRUNES PUMPKINS RAISINS<br />

90-14<br />

50-7<br />

90-11<br />

Cultivated<br />

Wild Rice<br />

90-5<br />

90-6<br />

RICE<br />

Rice<br />

01-37,02-37,03-37<br />

01-13,02-13,03-13<br />

01-3,02-3,03-3<br />

01-2,02-2,03-2<br />

01-30,02-30,03-30<br />

01-17,02-17,03-17<br />

01-7,02-7,03-7<br />

01-1,02-1,03-1<br />

01-1,02-1,03-1<br />

01-23,02-23,03-23<br />

RYE SAFFLOWER SESAME<br />

90-14<br />

90-10<br />

90-3<br />

90-23<br />

(P)90-21PY<br />

(P)90-21PY<br />

90-6<br />

(P)90-11<br />

90-3<br />

90-13<br />

90-10<br />

90-2<br />

90-5<br />

(P)90-18<br />

SORGHUM<br />

Grain Sorghum<br />

01-37,02-37,03-37<br />

01-2,02-2,03-2<br />

01-37,02-37,03-37<br />

01-5,02-5,03-5<br />

01-18,02-18,03-18<br />

01-2,02-2,03-2<br />

01-5,02-5,03-5<br />

01-82,02-82,03-82<br />

01-46,02-46,03-46<br />

01-10,02-10,03-10<br />

01-21,02-21,03-21<br />

01,02,03,04-27,05-27,06-27<br />

01-16,02-16,03-16<br />

01-25,02-25,03-25<br />

01-13,02-13,03-13<br />

01-30,02-30,03-30<br />

01-92,02-92,03-92<br />

01-74,02-74,03-74<br />

01-2,02-2,03-2<br />

01-10,02-10,03-10<br />

01-17,02-17,03-17<br />

01-81,02-81,03-81<br />

(P)01-1PY,(P)02-1PY,(P)03-1PY<br />

01-1,02-1,03-1<br />

01-71,02-71,03-71<br />

01-57,02-57,03-57<br />

01-22,02-22,03-22<br />

01-59,02-59,03-59<br />

01-25,02-25,03-25<br />

01-202,02-202,03-202,04-18,05-18,06-18<br />

01-79,02-79,03-79<br />

01-1,02-1,03-1<br />

Hybrid<br />

Sorghum Seed<br />

55-2<br />

55-2<br />

55-19<br />

Silage<br />

(P)90-2<br />

(P)90-37<br />

SOYBEANS<br />

01-58,02-58,03-58<br />

01-47,02-47,03-47<br />

01-7,02-7,03-7<br />

01,02,03<br />

01-20,02-20,03-20<br />

01-124,02-124,03-124<br />

01,02,03,04-97,05-97,06-97<br />

01,02,03,04-85,05-85,06-85<br />

01,02,03,04,05,06<br />

01,02,03<br />

01-81,02-81,03-81,04-25,05-25,06-25<br />

01-46,02-46,03-46<br />

01-22,02-22,03-22<br />

01-58,02-58,03-58,04-36,05-36,06-36<br />

01-84,02-84,03-84,04-56,05-56,06-56<br />

01-74,02-74,03-74<br />

01-92,02-92,03-92,04-73,05-73,06-73<br />

01-79,02-79,03-79,04-41,05-41,06-41<br />

01-14,02-14,03-14<br />

01-38,02-38,03-38<br />

01-89,02-89,03-89,04-27,05-27,06-27<br />

(P)01-37PY,(P)02-37PY,(P)03-37PY<br />

01-85,02-85,03-85,04-57,05-57,06-57<br />

01-63,02-63,03-63<br />

01-1,02-1,03-1<br />

01-51,02-51,03-51<br />

01,02,03,04-10,05-10,06-10<br />

01-48,02-48,03-48,04-20,05-20,06-20<br />

01-76,02-76,03-76,04-13,05-13,06-13<br />

01-82,02-82,03-82<br />

01-3,02-3,03-3<br />

01-86,02-86,03-86<br />

01-1,02-1,03-1<br />

01-10,02-10,03-10<br />

01-63,02-63,03-63,04-45,05-45,06-45<br />

CROP INSURANCE TODAY 45


STATE<br />

Alabama<br />

Alaska<br />

Arizona<br />

Arkansas<br />

California<br />

Colorado<br />

Connecticut<br />

Delaware<br />

Florida<br />

Georgia<br />

Hawaii<br />

Idaho<br />

Illinois<br />

Indiana<br />

Iowa<br />

Kansas<br />

Kentucky<br />

Louisiana<br />

Maine<br />

Maryland<br />

Massachusetts<br />

Michigan<br />

Minnesota<br />

Mississippi<br />

Missouri<br />

Montana<br />

Nebraska<br />

Nevada<br />

New Hampshire<br />

New Jersey<br />

New Mexico<br />

New York<br />

North Carolina<br />

North Dakota<br />

Ohio<br />

Oklahoma<br />

Oregon<br />

Pennsylvania<br />

Rhode Island<br />

South Carolina<br />

South Dakota<br />

Tennessee<br />

Texas<br />

Utah<br />

Vermont<br />

Virginia<br />

Washington<br />

West Virginia<br />

Wisconsin<br />

Wyoming<br />

STRAW-<br />

BERRIES<br />

SUGAR<br />

BEETS<br />

SUGARCANE SUNFLOWERS<br />

SWEET<br />

POTATOES<br />

TOBACCO TOMATOES<br />

WALNUTS WHEAT<br />

(P)47-6 90-8<br />

(P)90-10NS<br />

(P)90-16NS<br />

(P)90-16NS<br />

(P)90-33NS<br />

(P)90-12NS<br />

(P)90-14NS<br />

(P)90-9NS<br />

(P)90-2NS<br />

(P)90-5NS<br />

(P)90-7NS<br />

Burley<br />

90-17<br />

90-108<br />

90-5<br />

90-25<br />

90-11<br />

90-57<br />

90-23<br />

90-7<br />

Cigar<br />

Binder<br />

90-2<br />

90-3<br />

90-11<br />

Cigar<br />

Filler<br />

90-3<br />

Cigar<br />

Wrapper<br />

90-2<br />

90-3<br />

Dark Air &<br />

Fire Cured<br />

90-22<br />

90-9<br />

90-19<br />

Flue<br />

Cured<br />

90-8<br />

90-37<br />

90-63<br />

90-13<br />

90-25<br />

Maryland<br />

90-5<br />

90-1<br />

Tomatoes<br />

90-17<br />

90-2<br />

90-11<br />

90-7<br />

90-2<br />

90-5<br />

90-6<br />

90-11<br />

90-16<br />

90-1<br />

90-26<br />

01-59,02-59,03-59<br />

01-2,02-2,03-2<br />

01-11,02-11,03-11<br />

01-45,02-45,03-45,04-18,05-18,06-18<br />

01-35,02-35,3-35<br />

01-40,02-40,03-40,04-13,05-13,06-13<br />

01,02,03<br />

01-20,02-20,03-20<br />

01-128,02-128,03-128<br />

01-42,02-42,03-42<br />

01,02,03,04-29,05-29,06-29<br />

01-91,02-91,03-91,04-5,05-5,06-5<br />

01-51,02-51,03-51<br />

01,02,03,04-88,05-88,06-88<br />

01-67,02-67,03-67,04-5,05-5,06-5<br />

01-36,02-36,03-36<br />

01,02,03<br />

01-23,02-23,03-23,04-4,05-4,06-4<br />

01-65,02-65,03-65,04-16,05-16,06-16<br />

01-83,02-83,03-83,04-20,05-20,06-20<br />

01-64,02-64,03-64,04-4,05-4,06-4<br />

01-96,02-96,03-96,04-35,05-35,06-35<br />

01-54,02-54,03-54,04-28,05-28,06-28<br />

01-83,02-83,03-83,04-29,05-29,06-29<br />

01-12,02-12,03-12<br />

01-10,02-10,03-10<br />

01-15,02-15,03-15<br />

01-27,02-27,03-27<br />

01-82,02-82,03-82,04-8,05-8,06-8<br />

(P)01PY,(P)02PY,(P)03PY,04-49,05-49,06-49<br />

01-76,02-76,03-76,04-28,05-28,06-28<br />

01,02,03,04-20,05-20,06-20<br />

01-30,02-30,03-30<br />

01-57,02-57,03-57<br />

01-45,02-45,03-45<br />

01,02,03,04-34,05-34,06-34<br />

01-65,02-65,03-65,04-4,05-4,06-4<br />

01-206,02-206,03-206,04-50,05-50,06-50<br />

01-23,02-23,03-23<br />

01-2,02-2,03-2<br />

01-78,02-78,03-78<br />

01-29,02-29,03-29<br />

01-21,02-21,03-21<br />

01-54,02-54,03-54<br />

01-16,02-16,03-16<br />

Fresh<br />

Market<br />

90-2<br />

90-5<br />

90-7<br />

50-16,90-4<br />

90-5<br />

90-4<br />

90-4<br />

90-3<br />

90-7<br />

90-2<br />

01-17,02-17,03-17<br />

01-70,02-70,03-70<br />

01-34,02-34,03-34<br />

01-13,02-13,03-13<br />

01-30,02-30,03-30<br />

(P)01PY,(P)02PY,(P)03PY<br />

01-2,02-2,03-2<br />

01-52,02-52,03-52<br />

01-29,02-29,03-29<br />

01-2,02-2,03-2<br />

90-4<br />

04-21,90-24<br />

90-3<br />

90-9<br />

46 FEBRUARY <strong>2012</strong>


Join the RCIS team today<br />

HAVING WHAT WE CONSIDER THE BEST TECHNOLOGY AND SERVICE IN THE<br />

CROP-INSURANCE BIZ DOESN’T MEAN MUCH UNLESS YOU HAVE THE BEST<br />

PEOPLE, TOO. COME SEE WHY RCIS IS A GREAT PLACE TO START AND<br />

BUILD A CAREER. VISIT WWW.RCIS.COM AND CLICK ON “CAREERS.”<br />

We grow stronger every day—together SM<br />

Visit “Careers”<br />

at RCIS.com<br />

© <strong>2012</strong> Rural Community <strong>Insurance</strong> Agency, Inc. All rights reserved. RCIS is an Affirmative Action and Equal Opportunity Employer M/F/D/V.


NATIONAL<br />

CROP INSURANCE<br />

SERVICES<br />

w w w . c r o p i n s u r a n c e i n a m e r i c a . c o m<br />

48 FEBRUARY <strong>2012</strong>


Other crop insurance companies<br />

can’t touch this.<br />

At Great American, we know it’s not enough to just<br />

access policy data from the field. We’re in touch<br />

with what agents really need: the ability to<br />

actually conduct business on-site, from start to<br />

finish. With our iPAD® app, our agents can write,<br />

sign and submit forms right where they’re<br />

standing — even if that’s in the middle of the<br />

soybeans.<br />

Touch-screen technology in the field. One more<br />

way Great American puts its strength and<br />

expertise right where it counts:<br />

in your hands and at your fingertips.<br />

Great American’s iPAD application<br />

draws data from our popular<br />

GreatAg policy administration system.<br />

<strong>Crop</strong> <strong>Insurance</strong> Division<br />

www.GreatAmerican<strong>Crop</strong>.com<br />

301 E. Fourth Street I Cincinnati, OH 45202. Great American <strong>Insurance</strong> Group is an equal opportunity provider.<br />

iPAD is a registered trademark of Apple, Inc.<br />

GreatAmerican<strong>Insurance</strong>Group.com


PRSRT. STD.<br />

U.S. POSTAGE<br />

PAID<br />

Permit No. 116<br />

LAWRENCE, KS<br />

8900 Indian Creek Parkway, Suite 600<br />

Overland Park, Kansas 66210

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