White Collar Crime Convictions for August 2008

Number Latest Month 636
Percent Change from previous month -6.3
Percent Change from 1 year ago 0.1
Percent Change from 5 years ago (Including Magistrate Court) 2.7
Percent Change from 5 years ago (Excluding Magistrate Court) 3.0

Table 1: Criminal White Collar Crime Convictions

The latest available data from the Justice Department show that during August 2008 the government reported 636 new white collar crime convictions. According to the case-by-case information analyzed by the Transactional Records Access Clearinghouse (TRAC), this number is down 6.3% over the previous month.

White Collar Crime

This report summarizes the government's recent efforts when it comes to combating white collar crime—the number of such cases, the investigative agencies involved, the laws cited, the busiest federal districts and the busiest federal judges.

See more...

The comparisons of the number of defendants convicted for white collar crime-related offenses are based on case-by-case information obtained by TRAC under the Freedom of Information Act from the Executive Office for United States Attorneys. (See Table 1)

When monthly 2008 convictions of this type are compared with those of the same period in the previous year, the number of convictions was only slightlyup (0.1 percent). Convictions over the past year are still much higher than they were five years ago. Overall, the data show that convictions of this type are up 2.7 percent from levels reported in 2003.

The leveling out from the levels five years ago in white collar crime convictions for these matters is shown more clearly in Figure 1. The vertical bars in Figure 1 represent the number of white collar crime convictions of this type recorded on a month-to-month basis. The superimposed line on the bars plots the six-month moving average so that natural fluctuations are smoothed out. The one and five-year rates of change in Table 1 and in the sections that follow are all based upon this six-month moving average. To view trends year-by-year rather than month-by-month, see TRAC's annual report series for a broader picture.

FYMONDT: Jan2001
_FREQ_: 695 FYMONDT: Feb2001
_FREQ_: 619 FYMONDT: Mar2001
_FREQ_: 743 FYMONDT: Apr2001
_FREQ_: 570 FYMONDT: May2001
_FREQ_: 651 FYMONDT: Jun2001
_FREQ_: 584 FYMONDT: Jul2001
_FREQ_: 539 FYMONDT: Aug2001
_FREQ_: 627 FYMONDT: Sep2001
_FREQ_: 701 FYMONDT: Oct2001
_FREQ_: 746 FYMONDT: Nov2001
_FREQ_: 634 FYMONDT: Dec2001
_FREQ_: 507 FYMONDT: Jan2002
_FREQ_: 730 FYMONDT: Feb2002
_FREQ_: 563 FYMONDT: Mar2002
_FREQ_: 684 FYMONDT: Apr2002
_FREQ_: 651 FYMONDT: May2002
_FREQ_: 716 FYMONDT: Jun2002
_FREQ_: 646 FYMONDT: Jul2002
_FREQ_: 622 FYMONDT: Aug2002
_FREQ_: 695 FYMONDT: Sep2002
_FREQ_: 635 FYMONDT: Oct2002
_FREQ_: 695 FYMONDT: Nov2002
_FREQ_: 563 FYMONDT: Dec2002
_FREQ_: 583 FYMONDT: Jan2003
_FREQ_: 609 FYMONDT: Feb2003
_FREQ_: 694 FYMONDT: Mar2003
_FREQ_: 761 FYMONDT: Apr2003
_FREQ_: 696 FYMONDT: May2003
_FREQ_: 544 FYMONDT: Jun2003
_FREQ_: 507 FYMONDT: Jul2003
_FREQ_: 629 FYMONDT: Aug2003
_FREQ_: 537 FYMONDT: Sep2003
_FREQ_: 670 FYMONDT: Oct2003
_FREQ_: 628 FYMONDT: Nov2003
_FREQ_: 548 FYMONDT: Dec2003
_FREQ_: 538 FYMONDT: Jan2004
_FREQ_: 609 FYMONDT: Feb2004
_FREQ_: 719 FYMONDT: Mar2004
_FREQ_: 725 FYMONDT: Apr2004
_FREQ_: 660 FYMONDT: May2004
_FREQ_: 553 FYMONDT: Jun2004
_FREQ_: 714 FYMONDT: Jul2004
_FREQ_: 561 FYMONDT: Aug2004
_FREQ_: 602 FYMONDT: Sep2004
_FREQ_: 653 FYMONDT: Oct2004
_FREQ_: 431 FYMONDT: Nov2004
_FREQ_: 439 FYMONDT: Dec2004
_FREQ_: 460 FYMONDT: Jan2005
_FREQ_: 498 FYMONDT: Feb2005
_FREQ_: 587 FYMONDT: Mar2005
_FREQ_: 751 FYMONDT: Apr2005
_FREQ_: 552 FYMONDT: May2005
_FREQ_: 580 FYMONDT: Jun2005
_FREQ_: 674 FYMONDT: Jul2005
_FREQ_: 614 FYMONDT: Aug2005
_FREQ_: 665 FYMONDT: Sep2005
_FREQ_: 741 FYMONDT: Oct2005
_FREQ_: 601 FYMONDT: Nov2005
_FREQ_: 517 FYMONDT: Dec2005
_FREQ_: 516 FYMONDT: Jan2006
_FREQ_: 605 FYMONDT: Feb2006
_FREQ_: 612 FYMONDT: Mar2006
_FREQ_: 679 FYMONDT: Apr2006
_FREQ_: 494 FYMONDT: May2006
_FREQ_: 597 FYMONDT: Jun2006
_FREQ_: 615 FYMONDT: Jul2006
_FREQ_: 521 FYMONDT: Aug2006
_FREQ_: 673 FYMONDT: Sep2006
_FREQ_: 704 FYMONDT: Oct2006
_FREQ_: 607 FYMONDT: Nov2006
_FREQ_: 509 FYMONDT: Dec2006
_FREQ_: 524 FYMONDT: Jan2007
_FREQ_: 552 FYMONDT: Feb2007
_FREQ_: 594 FYMONDT: Mar2007
_FREQ_: 647 FYMONDT: Apr2007
_FREQ_: 589 FYMONDT: May2007
_FREQ_: 703 FYMONDT: Jun2007
_FREQ_: 689 FYMONDT: Jul2007
_FREQ_: 542 FYMONDT: Aug2007
_FREQ_: 600 FYMONDT: Sep2007
_FREQ_: 653 FYMONDT: Oct2007
_FREQ_: 586 FYMONDT: Nov2007
_FREQ_: 543 FYMONDT: Dec2007
_FREQ_: 480 FYMONDT: Jan2008
_FREQ_: 588 FYMONDT: Feb2008
_FREQ_: 530 FYMONDT: Mar2008
_FREQ_: 614 FYMONDT: Apr2008
_FREQ_: 644 FYMONDT: May2008
_FREQ_: 615 FYMONDT: Jun2008
_FREQ_: 587 FYMONDT: Jul2008
_FREQ_: 679 FYMONDT: Aug2008
_FREQ_: 636 FYMONDT: Jun2001
moveave: 643.66666667 FYMONDT: Jul2001
moveave: 617.66666667 FYMONDT: Aug2001
moveave: 619 FYMONDT: Sep2001
moveave: 612 FYMONDT: Oct2001
moveave: 641.33333333 FYMONDT: Nov2001
moveave: 638.5 FYMONDT: Dec2001
moveave: 625.66666667 FYMONDT: Jan2002
moveave: 657.5 FYMONDT: Feb2002
moveave: 646.83333333 FYMONDT: Mar2002
moveave: 644 FYMONDT: Apr2002
moveave: 628.16666667 FYMONDT: May2002
moveave: 641.83333333 FYMONDT: Jun2002
moveave: 665 FYMONDT: Jul2002
moveave: 647 FYMONDT: Aug2002
moveave: 669 FYMONDT: Sep2002
moveave: 660.83333333 FYMONDT: Oct2002
moveave: 668.16666667 FYMONDT: Nov2002
moveave: 642.66666667 FYMONDT: Dec2002
moveave: 632.16666667 FYMONDT: Jan2003
moveave: 630 FYMONDT: Feb2003
moveave: 629.83333333 FYMONDT: Mar2003
moveave: 650.83333333 FYMONDT: Apr2003
moveave: 651 FYMONDT: May2003
moveave: 647.83333333 FYMONDT: Jun2003
moveave: 635.16666667 FYMONDT: Jul2003
moveave: 638.5 FYMONDT: Aug2003
moveave: 612.33333333 FYMONDT: Sep2003
moveave: 597.16666667 FYMONDT: Oct2003
moveave: 585.83333333 FYMONDT: Nov2003
moveave: 586.5 FYMONDT: Dec2003
moveave: 591.66666667 FYMONDT: Jan2004
moveave: 588.33333333 FYMONDT: Feb2004
moveave: 618.66666667 FYMONDT: Mar2004
moveave: 627.83333333 FYMONDT: Apr2004
moveave: 633.16666667 FYMONDT: May2004
moveave: 634 FYMONDT: Jun2004
moveave: 663.33333333 FYMONDT: Jul2004
moveave: 655.33333333 FYMONDT: Aug2004
moveave: 635.83333333 FYMONDT: Sep2004
moveave: 623.83333333 FYMONDT: Oct2004
moveave: 585.66666667 FYMONDT: Nov2004
moveave: 566.66666667 FYMONDT: Dec2004
moveave: 524.33333333 FYMONDT: Jan2005
moveave: 513.83333333 FYMONDT: Feb2005
moveave: 511.33333333 FYMONDT: Mar2005
moveave: 527.66666667 FYMONDT: Apr2005
moveave: 547.83333333 FYMONDT: May2005
moveave: 571.33333333 FYMONDT: Jun2005
moveave: 607 FYMONDT: Jul2005
moveave: 626.33333333 FYMONDT: Aug2005
moveave: 639.33333333 FYMONDT: Sep2005
moveave: 637.66666667 FYMONDT: Oct2005
moveave: 645.83333333 FYMONDT: Nov2005
moveave: 635.33333333 FYMONDT: Dec2005
moveave: 609 FYMONDT: Jan2006
moveave: 607.5 FYMONDT: Feb2006
moveave: 598.66666667 FYMONDT: Mar2006
moveave: 588.33333333 FYMONDT: Apr2006
moveave: 570.5 FYMONDT: May2006
moveave: 583.83333333 FYMONDT: Jun2006
moveave: 600.33333333 FYMONDT: Jul2006
moveave: 586.33333333 FYMONDT: Aug2006
moveave: 596.5 FYMONDT: Sep2006
moveave: 600.66666667 FYMONDT: Oct2006
moveave: 619.5 FYMONDT: Nov2006
moveave: 604.83333333 FYMONDT: Dec2006
moveave: 589.66666667 FYMONDT: Jan2007
moveave: 594.83333333 FYMONDT: Feb2007
moveave: 581.66666667 FYMONDT: Mar2007
moveave: 572.16666667 FYMONDT: Apr2007
moveave: 569.16666667 FYMONDT: May2007
moveave: 601.5 FYMONDT: Jun2007
moveave: 629 FYMONDT: Jul2007
moveave: 627.33333333 FYMONDT: Aug2007
moveave: 628.33333333 FYMONDT: Sep2007
moveave: 629.33333333 FYMONDT: Oct2007
moveave: 628.83333333 FYMONDT: Nov2007
moveave: 602.16666667 FYMONDT: Dec2007
moveave: 567.33333333 FYMONDT: Jan2008
moveave: 575 FYMONDT: Feb2008
moveave: 563.33333333 FYMONDT: Mar2008
moveave: 556.83333333 FYMONDT: Apr2008
moveave: 566.5 FYMONDT: May2008
moveave: 578.5 FYMONDT: Jun2008
moveave: 596.33333333 FYMONDT: Jul2008
moveave: 611.5 FYMONDT: Aug2008
moveave: 629.16666667
Plot of moveave * FYMONDT

Figure 1: Criminal White Collar Crime Convictions over the last five years

Within the broad category of white collar crime, cases were classified by prosecutors into more specific types.

Case types within white collar crime are

• Federal Procurement Fraud

• Federal Program Fraud

• Tax Fraud

• Arson for Profit

• Other Insurance Fraud

• Financial Institution Fraud

• Bankruptcy Fraud

• Advance Fee Schemes

• Other Fraud Against Businesses

• Consumer Fraud

• Securities Fraud

• Commodities Fraud

• Other Investment Fraud

• Antitrust Violations - Other

• Computer Fraud

• Health Care Fraud

• Fraud Against Insurance Providers

• Intellectual Property Violations

• Insider Fraud Against Insurance Providers

• MEWA (Multiple Employer Welfare Arrangements) Fraud/MET

• 

• Antitrust Violations - Airlines

• Antitrust Violations - Banking

• Antitrust Violations - Defense Procurement

• Antitrust Violations - Extraterritorial Application Of

• Antitrust Violations - Finance Markets, Other than Banking

• Telemarketing Fraud

• Corporate Fraud

• Identity Theft

• Aggravated Identity Theft

• Other White Collar Crime/Fraud

The largest number of convictions of these matters in August 2008 was for "Fraud-Financial Institution", accounting for 19.3 percent of convictions. Convictions were also filed for "Fraud-Federal Program" (14.5%), "Other-Not Specified " (14.5%), "Fraud-Other" (11.8%), "Fraud-Health Care" (9.4%), "Fraud-Tax" (9%), "Fraud-Other Business" (8.2%), "Fraud-Consumer" (2.7%), "Fraud-Corporate" (2.5%). See Figure 2.

The lead investigative agency for white collar crime convictions in August 2008 was FBI accounting for 28 percent of convictions. Other agencies with substantial numbers of white collar crime convictions were: SecServ (14% ), Postal (13%), IRS (11%), SSA (7%). See Figure 3.

progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Other
percentage: 66%  (66.19%) progcatlabel: Fraud-Financial Institution
percentage: 19%  (19.34%) progcatlabel: Fraud-Financial Institution
percentage: 19%  (19.34%) progcatlabel: Fraud-Financial Institution
percentage: 19%  (19.34%) progcatlabel: Fraud-Financial Institution
percentage: 19%  (19.34%) progcatlabel: Fraud-Financial Institution
percentage: 19%  (19.34%) progcatlabel: Fraud-Federal Program
percentage: 14%  (14.47%) progcatlabel: Fraud-Federal Program
percentage: 14%  (14.47%) progcatlabel: Fraud-Federal Program
percentage: 14%  (14.47%)
PIE3D chart of progcatlabel

Figure 2: Specific types of convictions
agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SecServ
percentage: 14%  (13.68%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: SSA
percentage: 7%  (6.6%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Postal
percentage: 13%  (13.36%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: Other
percentage: 28%  (27.52%) agenrevgrp: IRS
percentage: 11%  (10.69%) agenrevgrp: IRS
percentage: 11%  (10.69%) agenrevgrp: IRS
percentage: 11%  (10.69%) agenrevgrp: FBI
percentage: 28%  (28.14%) agenrevgrp: FBI
percentage: 28%  (28.14%) agenrevgrp: FBI
percentage: 28%  (28.14%) agenrevgrp: FBI
percentage: 28%  (28.14%) agenrevgrp: FBI
percentage: 28%  (28.14%)
PIE3D chart of agenrevgrp

Figure 3: Convictions by Investigative Agency

White Collar Crime Convictions in U.S. Magistrate Courts

Top Ranked Lead Charges

In August 2008, 1 percent of white collar crime cases for these matters took place in U.S. Magistrate Courts which handle less serious misdemeanor cases, including what are called "petty offenses." In the magistrate courts in August the most frequently cited lead charge was Title 18 U.S.C Section 1382 involving the "Entering military, naval, or Coast Guard property". This was the lead charge for 83.3 percent of all magistrate convictions in August.

White Collar Crime Convictions in U.S. District Courts

Top Ranked Lead Charges

Table 2 shows the top lead charges recorded in the convictions of white collar crime matters filed in U.S. District Court during August 2008.

Lead Charge Count Rank 1yr ago 5yrs ago  
18 USC 1344 - Bank fraud 86 1 1 1 More
18 USC 1341 - Mail Fraud - Frauds and swindles 56 2 2 2 More
18 USC 1028 - Fraud and related activity - id documents 50 3 4 7 More
18 USC 1343 - Fraud by wire, radio, or television 50 3 3 5 More
18 USC 641 - Public money, property or records 41 5 7 9 More
18 USC 1347 - Health Care Fraud 39 6 9 10 More
18 USC 371 - Conspiracy to commit offense or to defraud US 37 7 5 3 More
42 USC 408 - Fed Old Age, Survivors + Disab Insur -Penalties 24 8 14 13 More
18 USC 1029 - Fraud and related activity - access devices 23 9 6 4 More
26 USC 7206 - Fraud and False statements 20 10 11 10 More

Table 2: Top charges for convictions

  • "Bank fraud" (Title 18 U.S.C Section 1344) was the most frequent recorded lead charge. "Bank fraud" (Title 18 U.S.C Section 1344) was ranked 1 a year ago, while it was the 1 most frequently invoked 5 years ago..

  • Ranked 2nd in frequency was the lead charge "Mail Fraud - Frauds and swindles" under Title 18 U.S.C Section 1341. "Mail Fraud - Frauds and swindles" under Title 18 U.S.C Section 1341 was ranked 2 a year ago, while it was the 2 most frequently invoked 5 years ago..

  • Ranked 3rd were "Fraud and related activity - id documents" under Title 18 U.S.C Section 1028 and "Fraud by wire, radio, or television" under Title 18 U.S.C Section 1343. "Fraud and related activity - id documents" under Title 18 U.S.C Section 1028 was ranked 4 a year ago, while it was the 7 most frequently invoked 5 years ago.."Fraud by wire, radio, or television" under Title 18 U.S.C Section 1343 was ranked 3 a year ago, while it was the 5 most frequently invoked 5 years ago..

Among these top ten lead charges, the one showing the greatest increase in convictions—up 36.7 percent—compared to one year ago was Title 18 U.S.C Section 641 that involves " Public money, property or records ". Compared to five years ago, the largest increase—118.5 percent—was registered for convictions under " Fraud and related activity - id documents " (Title 18 U.S.C Section 1028 ).

Again among the top ten lead charges, the one showing the sharpest decline in convictions compared to one year ago—down 14 percent—was Mail Fraud - Frauds and swindles (Title 18 U.S.C Section 1341 ). This was the same statute that had the largest decrease— 25.1 %—when compared with five years ago.

Top Ranked Judicial Districts

In August 2008 the Justice Department said the government obtained 252.5 white collar crime convictions for every ten million people in the United States.

Understandably, there is great variation in the per capita number of white collar crime convictions in each of the nation's ninety-four federal judicial districts.

The districts registering the largest number of convictions per capita for these matters last month are shown in Table 3. Districts must have at least 5 white collar crime convictions to receive a ranking.


Judicial District Percapita Count Rank 1yr ago 5yrs ago  
Ala, M 1,438 13 1 87 81 More
Miss, S 927 14 2 14 38 More
Ala, S 883 6 3 64 53 More
Fla, S 804 44 4 1 5 More
W Virg, N 676 5 5 70 88 More
Mo, E 581 14 6 11 25 More
N. Y., S 521 22 7 2 3 More
Ken, W 516 9 8 49 44 More
Wash, E 511 6 9 88 86 More
Texas, N 487 26 10 5 7 More

Table 3: Top 10 districts (per ten million people)

  • The Middle District of Alabama (Montgomery)—with 1438 convictions as compared with 252.5 convictions per ten million population in the United States—was the most active during August 2008.

  • The Southern District of Mississippi (Jackson) ranked 2nd.

  • Southern District of Alabama (Mobile) is now ranking 3rd.

Recent entrants to the top 10 list were Eastern District of Missouri (St. Louis), now ranked 6th , and Southern District of Mississippi (Jackson) at 2nd In the same order, these districts ranked 11th and 14th one year ago and 25th and 38th five years ago.

The federal judicial district which showed the greatest growth in the rate of white collar crime convictions compared to one year ago— 350 percent—was Middle District of Alabama (Montgomery). Compared to five years ago, the district with the largest growth— 154.8 percent—was Southern District of Mississippi (Jackson).

In the last year, the judicial District Court recording the largest drop in the rate of white collar crime convictions— 53.3 percent—was Northern District of West Virginia (Wheeling).  But over the past five years, Northern District of Texas (Fort Worth) showed the largest drop— 13.2 percent.

Top Ranked District Judges

At any one time, there are about 680 federal District Court judges working in the United States. The judges recorded with the largest number of new white collar crime crime cases resulting in convictions of this type during August 2008 are shown in Table 4.

Judge Count Rank  
Folsom, David Texas, E 10 1 More
Huck, Paul C. Fla, S 8 2 More
Fuller, Mark E. Ala, M 6 3 More
Steele, William H. Ala, S 6 3 More
Seitz, Patricia A. Fla, S 6 3 More
Montgomery, Ann D. Minnesota 6 3 More
Pisano, Joel A. N. J. 6 3 More
Thompson, Myron Herbert Ala, M 5 8 More
Jordan, Adalberto Jose Fla, S 5 8 More
Camp, Jack Tarpley Jr. Ga, N 5 8 More
Thrash, Thomas W. Jr. Ga, N 5 8 More
Shadur, Milton Irving Ill, N 5 8 More
Russell, Thomas B. Ken, W 5 8 More
Sippel, Rodney W. Mo, E 5 8 More
Beaty, James A. Jr. N Car, M 5 8 More
Atlas, Nancy Friedman Texas, S 5 8 More

Table 4: Top 10 judges

A total of 8 out of the "top ten" judges were in districts which were in the top ten with the largest number of white collar crime convictions per capita, while the remaining 8 judges were from other districts. (Because of ties, there were a total of 16 judges in the "top ten" rankings.)

  • Judge David Folsom in the Eastern District of Texas (Tyler) ranked 1st with 10 convicted in white collar crime convictions.

  • Judge Paul C. Huck in the Southern District of Florida (Miami) ranked 2nd with 8 convicted in white collar crime convictions.

  • Judges Mark E. Fuller in the Middle District of Alabama (Montgomery), William H. Steele in the Southern District of Alabama (Mobile), Patricia A. Seitz in the Southern District of Florida (Miami), Ann D. Montgomery in the District of Minnesota and Joel A. Pisano in the District of New Jersey ranked 3rd with 6 convicted in white collar crime convictions.

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Copyright 2008, TRAC Reports, Inc.

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