White Collar Crime Prosecutions for December 2008

Number Latest Month 577
Percent Change from previous month 5.3
Percent Change from 1 year ago -4.4
Percent Change from 5 years ago (Including Magistrate Court) -17.3
Percent Change from 5 years ago (Excluding Magistrate Court) -19.7

Table 1: Criminal White Collar Crime Prosecutions

The latest available data from the Justice Department show that during December 2008 the government reported 577 new white collar crime prosecutions. According to the case-by-case information analyzed by the Transactional Records Access Clearinghouse (TRAC), this number is up 5.3% 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 charged with 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 prosecutions of this type are compared with those of the same period in the previous year, the number of filings was down (-4.4 percent). Prosecutions over the past year are still much lower than they were five years ago. Overall, the data show that prosecutions of this type are down 17.3 percent from levels reported in 2003.

The decrease from the levels five years ago in white collar crime prosecutions for these matters is shown more clearly in Figure 1. The vertical bars in Figure 1 represent the number of white collar crime prosecutions 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_: 681 FYMONDT: Feb2001
_FREQ_: 738 FYMONDT: Mar2001
_FREQ_: 1,086 FYMONDT: Apr2001
_FREQ_: 863 FYMONDT: May2001
_FREQ_: 1,022 FYMONDT: Jun2001
_FREQ_: 784 FYMONDT: Jul2001
_FREQ_: 770 FYMONDT: Aug2001
_FREQ_: 847 FYMONDT: Sep2001
_FREQ_: 749 FYMONDT: Oct2001
_FREQ_: 760 FYMONDT: Nov2001
_FREQ_: 687 FYMONDT: Dec2001
_FREQ_: 635 FYMONDT: Jan2002
_FREQ_: 757 FYMONDT: Feb2002
_FREQ_: 623 FYMONDT: Mar2002
_FREQ_: 724 FYMONDT: Apr2002
_FREQ_: 982 FYMONDT: May2002
_FREQ_: 856 FYMONDT: Jun2002
_FREQ_: 938 FYMONDT: Jul2002
_FREQ_: 917 FYMONDT: Aug2002
_FREQ_: 887 FYMONDT: Sep2002
_FREQ_: 910 FYMONDT: Oct2002
_FREQ_: 787 FYMONDT: Nov2002
_FREQ_: 652 FYMONDT: Dec2002
_FREQ_: 642 FYMONDT: Jan2003
_FREQ_: 775 FYMONDT: Feb2003
_FREQ_: 923 FYMONDT: Mar2003
_FREQ_: 902 FYMONDT: Apr2003
_FREQ_: 878 FYMONDT: May2003
_FREQ_: 854 FYMONDT: Jun2003
_FREQ_: 819 FYMONDT: Jul2003
_FREQ_: 791 FYMONDT: Aug2003
_FREQ_: 737 FYMONDT: Sep2003
_FREQ_: 826 FYMONDT: Oct2003
_FREQ_: 759 FYMONDT: Nov2003
_FREQ_: 681 FYMONDT: Dec2003
_FREQ_: 743 FYMONDT: Jan2004
_FREQ_: 762 FYMONDT: Feb2004
_FREQ_: 673 FYMONDT: Mar2004
_FREQ_: 972 FYMONDT: Apr2004
_FREQ_: 884 FYMONDT: May2004
_FREQ_: 666 FYMONDT: Jun2004
_FREQ_: 732 FYMONDT: Jul2004
_FREQ_: 561 FYMONDT: Aug2004
_FREQ_: 634 FYMONDT: Sep2004
_FREQ_: 663 FYMONDT: Oct2004
_FREQ_: 577 FYMONDT: Nov2004
_FREQ_: 544 FYMONDT: Dec2004
_FREQ_: 563 FYMONDT: Jan2005
_FREQ_: 517 FYMONDT: Feb2005
_FREQ_: 562 FYMONDT: Mar2005
_FREQ_: 774 FYMONDT: Apr2005
_FREQ_: 806 FYMONDT: May2005
_FREQ_: 739 FYMONDT: Jun2005
_FREQ_: 661 FYMONDT: Jul2005
_FREQ_: 615 FYMONDT: Aug2005
_FREQ_: 734 FYMONDT: Sep2005
_FREQ_: 658 FYMONDT: Oct2005
_FREQ_: 588 FYMONDT: Nov2005
_FREQ_: 602 FYMONDT: Dec2005
_FREQ_: 600 FYMONDT: Jan2006
_FREQ_: 556 FYMONDT: Feb2006
_FREQ_: 540 FYMONDT: Mar2006
_FREQ_: 805 FYMONDT: Apr2006
_FREQ_: 643 FYMONDT: May2006
_FREQ_: 641 FYMONDT: Jun2006
_FREQ_: 668 FYMONDT: Jul2006
_FREQ_: 547 FYMONDT: Aug2006
_FREQ_: 689 FYMONDT: Sep2006
_FREQ_: 603 FYMONDT: Oct2006
_FREQ_: 608 FYMONDT: Nov2006
_FREQ_: 685 FYMONDT: Dec2006
_FREQ_: 665 FYMONDT: Jan2007
_FREQ_: 625 FYMONDT: Feb2007
_FREQ_: 551 FYMONDT: Mar2007
_FREQ_: 744 FYMONDT: Apr2007
_FREQ_: 693 FYMONDT: May2007
_FREQ_: 714 FYMONDT: Jun2007
_FREQ_: 611 FYMONDT: Jul2007
_FREQ_: 627 FYMONDT: Aug2007
_FREQ_: 747 FYMONDT: Sep2007
_FREQ_: 681 FYMONDT: Oct2007
_FREQ_: 617 FYMONDT: Nov2007
_FREQ_: 637 FYMONDT: Dec2007
_FREQ_: 616 FYMONDT: Jan2008
_FREQ_: 694 FYMONDT: Feb2008
_FREQ_: 594 FYMONDT: Mar2008
_FREQ_: 688 FYMONDT: Apr2008
_FREQ_: 769 FYMONDT: May2008
_FREQ_: 605 FYMONDT: Jun2008
_FREQ_: 782 FYMONDT: Jul2008
_FREQ_: 693 FYMONDT: Aug2008
_FREQ_: 648 FYMONDT: Sep2008
_FREQ_: 694 FYMONDT: Oct2008
_FREQ_: 592 FYMONDT: Nov2008
_FREQ_: 548 FYMONDT: Dec2008
_FREQ_: 577 FYMONDT: Jun2001
moveave: 862.33333333 FYMONDT: Jul2001
moveave: 877.16666667 FYMONDT: Aug2001
moveave: 895.33333333 FYMONDT: Sep2001
moveave: 839.16666667 FYMONDT: Oct2001
moveave: 822 FYMONDT: Nov2001
moveave: 766.16666667 FYMONDT: Dec2001
moveave: 741.33333333 FYMONDT: Jan2002
moveave: 739.16666667 FYMONDT: Feb2002
moveave: 701.83333333 FYMONDT: Mar2002
moveave: 697.66666667 FYMONDT: Apr2002
moveave: 734.66666667 FYMONDT: May2002
moveave: 762.83333333 FYMONDT: Jun2002
moveave: 813.33333333 FYMONDT: Jul2002
moveave: 840 FYMONDT: Aug2002
moveave: 884 FYMONDT: Sep2002
moveave: 915 FYMONDT: Oct2002
moveave: 882.5 FYMONDT: Nov2002
moveave: 848.5 FYMONDT: Dec2002
moveave: 799.16666667 FYMONDT: Jan2003
moveave: 775.5 FYMONDT: Feb2003
moveave: 781.5 FYMONDT: Mar2003
moveave: 780.16666667 FYMONDT: Apr2003
moveave: 795.33333333 FYMONDT: May2003
moveave: 829 FYMONDT: Jun2003
moveave: 858.5 FYMONDT: Jul2003
moveave: 861.16666667 FYMONDT: Aug2003
moveave: 830.16666667 FYMONDT: Sep2003
moveave: 817.5 FYMONDT: Oct2003
moveave: 797.66666667 FYMONDT: Nov2003
moveave: 768.83333333 FYMONDT: Dec2003
moveave: 756.16666667 FYMONDT: Jan2004
moveave: 751.33333333 FYMONDT: Feb2004
moveave: 740.66666667 FYMONDT: Mar2004
moveave: 765 FYMONDT: Apr2004
moveave: 785.83333333 FYMONDT: May2004
moveave: 783.33333333 FYMONDT: Jun2004
moveave: 781.5 FYMONDT: Jul2004
moveave: 748 FYMONDT: Aug2004
moveave: 741.5 FYMONDT: Sep2004
moveave: 690 FYMONDT: Oct2004
moveave: 638.83333333 FYMONDT: Nov2004
moveave: 618.5 FYMONDT: Dec2004
moveave: 590.33333333 FYMONDT: Jan2005
moveave: 583 FYMONDT: Feb2005
moveave: 571 FYMONDT: Mar2005
moveave: 589.5 FYMONDT: Apr2005
moveave: 627.66666667 FYMONDT: May2005
moveave: 660.16666667 FYMONDT: Jun2005
moveave: 676.5 FYMONDT: Jul2005
moveave: 692.83333333 FYMONDT: Aug2005
moveave: 721.5 FYMONDT: Sep2005
moveave: 702.16666667 FYMONDT: Oct2005
moveave: 665.83333333 FYMONDT: Nov2005
moveave: 643 FYMONDT: Dec2005
moveave: 632.83333333 FYMONDT: Jan2006
moveave: 623 FYMONDT: Feb2006
moveave: 590.66666667 FYMONDT: Mar2006
moveave: 615.16666667 FYMONDT: Apr2006
moveave: 624.33333333 FYMONDT: May2006
moveave: 630.83333333 FYMONDT: Jun2006
moveave: 642.16666667 FYMONDT: Jul2006
moveave: 640.66666667 FYMONDT: Aug2006
moveave: 665.5 FYMONDT: Sep2006
moveave: 631.83333333 FYMONDT: Oct2006
moveave: 626 FYMONDT: Nov2006
moveave: 633.33333333 FYMONDT: Dec2006
moveave: 632.83333333 FYMONDT: Jan2007
moveave: 645.83333333 FYMONDT: Feb2007
moveave: 622.83333333 FYMONDT: Mar2007
moveave: 646.33333333 FYMONDT: Apr2007
moveave: 660.5 FYMONDT: May2007
moveave: 665.33333333 FYMONDT: Jun2007
moveave: 656.33333333 FYMONDT: Jul2007
moveave: 656.66666667 FYMONDT: Aug2007
moveave: 689.33333333 FYMONDT: Sep2007
moveave: 678.83333333 FYMONDT: Oct2007
moveave: 666.16666667 FYMONDT: Nov2007
moveave: 653.33333333 FYMONDT: Dec2007
moveave: 654.16666667 FYMONDT: Jan2008
moveave: 665.33333333 FYMONDT: Feb2008
moveave: 639.83333333 FYMONDT: Mar2008
moveave: 641 FYMONDT: Apr2008
moveave: 666.33333333 FYMONDT: May2008
moveave: 661 FYMONDT: Jun2008
moveave: 688.66666667 FYMONDT: Jul2008
moveave: 688.5 FYMONDT: Aug2008
moveave: 697.5 FYMONDT: Sep2008
moveave: 698.5 FYMONDT: Oct2008
moveave: 669 FYMONDT: Nov2008
moveave: 659.5 FYMONDT: Dec2008
moveave: 625.33333333
Plot of moveave * FYMONDT

Figure 1: Criminal White Collar Crime Prosecutions 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 prosecutions of these matters in December 2008 was for "Fraud-Financial Institution", accounting for 23.1 percent of prosecutions. Prosecutions were also filed for "Fraud-Other" (13%), "Fraud-Federal Program" ( 11.1%), "Fraud-Tax" (7.6%), "Fraud-Identity Theft-Other" (7.5%), "Fraud-Other Business" (7.1%), "Fraud-Identity Theft-Aggravated" (6.4%), "Fraud-Health Care" (5.5%), "Fraud-Computer" (3.5%), "Fraud-Corporate" (3.5%), "Fraud-Securities" (3.5%). See Figure 2.

The lead investigative agency for white collar crime prosecutions in December 2008 was FBI accounting for 33 percent of prosecutions referred. Other agencies with substantial numbers of white collar crime referrals were: SecServ (13% ), Postal (10%), IRS (10%), DHS (7%). See Figure 3.

progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Other
percentage: 64%  (63.95%) progcatlabel: Fraud-Other
percentage: 13%  (13%) progcatlabel: Fraud-Other
percentage: 13%  (13%) progcatlabel: Fraud-Other
percentage: 13%  (13%) progcatlabel: Fraud-Other
percentage: 13%  (13%) progcatlabel: Fraud-Other
percentage: 13%  (13%) progcatlabel: Fraud-Financial Institution
percentage: 23%  (23.05%) progcatlabel: Fraud-Financial Institution
percentage: 23%  (23.05%) progcatlabel: Fraud-Financial Institution
percentage: 23%  (23.05%)
PIE3D chart of progcatlabel

Figure 2: Specific types of prosecutions
agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: SecServ
percentage: 13%  (13%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Postal
percentage: 10%  (10.4%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: Other
percentage: 27%  (27.21%) agenrevgrp: IRS
percentage: 10%  (9.53%) agenrevgrp: IRS
percentage: 10%  (9.53%) agenrevgrp: IRS
percentage: 10%  (9.53%) agenrevgrp: FBI
percentage: 33%  (32.76%) agenrevgrp: FBI
percentage: 33%  (32.76%) agenrevgrp: FBI
percentage: 33%  (32.76%) agenrevgrp: FBI
percentage: 33%  (32.76%) agenrevgrp: FBI
percentage: 33%  (32.76%) agenrevgrp: DHS
percentage: 7%  (7.11%) agenrevgrp: DHS
percentage: 7%  (7.11%) agenrevgrp: DHS
percentage: 7%  (7.11%)
PIE3D chart of agenrevgrp

Figure 3: Prosecutions by Investigative Agency

White Collar Crime Prosecutions in U.S. Magistrate Courts

Top Ranked Lead Charges

In December 2008, 13 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 December the most frequently cited lead charge was Title 18 U.S.C Section 1343 involving the "Fraud by wire, radio, or television". This was the lead charge for 13.3 percent of all magistrate filings in December.

Other frequently prosecuted lead charges include: "18 USC 641 - Public money, property or records" (12%), "18 USC 1029 - Fraud and related activity - access devices" (12%), "18 USC 1028 - Fraud and related activity - id documents" (9.3 %), "18 USC 1344 - Bank fraud" (8%), "18 USC 1347 - Health Care Fraud" (6.7%).

White Collar Crime Prosecutions in U.S. District Courts

Top Ranked Lead Charges

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

Lead Charge Count Rank 1yr ago 5yrs ago  
18 USC 1344 - Bank fraud 84 1 1 1 More
18 USC 1028 - Fraud and related activity - id documents 54 2 3 8 More
18 USC 1341 - Mail Fraud - Frauds and swindles 54 2 2 2 More
18 USC 371 - Conspiracy to commit offense or to defraud US 44 4 6 3 More
18 USC 1029 - Fraud and related activity - access devices 30 5 5 5 More
18 USC 1343 - Fraud by wire, radio, or television 30 5 4 4 More
18 USC 641 - Public money, property or records 27 7 7 7 More
18 USC 1349 - Mail Fraud - Attempt and Conspiracy 22 8 11 25 More
26 USC 7206 - Fraud and False statements 15 9 15 11 More
18 USC 1347 - Health Care Fraud 11 10 8 9 More

Table 2: Top charges filed

  • "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 were the lead charges "Fraud and related activity - id documents" under Title 18 U.S.C Section 1028 and "Mail Fraud - Frauds and swindles" under Title 18 U.S.C Section 1341. "Fraud and related activity - id documents" under Title 18 U.S.C Section 1028 was ranked 3 a year ago, while it was the 8 most frequently invoked 5 years ago.."Mail Fraud - Frauds and swindles" under Title 18 U.S.C Section 1341 was ranked 2 a year ago, whi le it was the 2 most frequently invoked 5 years ago..

Among these top ten lead charges, the one showing the greatest increase in prosecutions—up 47.6 percent—compared to one year ago was Title 18 U.S.C Section 371 that involves " Conspiracy to commit offense or to defraud US ". Compared to five years ago, the largest increase—500 percent—was registered for prosecutions under " Mail Fraud - Attempt and Conspiracy " (Title 18 U.S.C Section 1349 ).

Again among the top ten lead charges, the one showing the sharpest decline in prosecutions compared to one year ago—down 17.9 percent—was Public money, property or records (Title 18 U.S.C Section 641 ). Compared to five years ago, the most significant decline in prosecutions— 41.7 percent—was for filings where the lead charge was " Mail Fraud - Frauds and swindles " (Title 18 U.S.C Section 1341 ).

Top Ranked Judicial Districts

In December 2008 the Justice Department said the government brought 201.6 white collar crime prosecutions for every ten million people in the United States.

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

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


Judicial District Percapita Count Rank 1yr ago 5yrs ago  
Miss, S 1,130 17 1 4 31 More
La, M 942 6 2 48 70 More
Montana 760 6 3 53 66 More
N. Y., S 686 29 4 3 3 More
N Car, W 604 14 5 22 28 More
Nevada 578 12 6 75 22 More
R. I. 565 5 7 72 81 More
Fla, S 498 27 8 2 6 More
Cal, S 464 12 9 28 55 More
Kansas 435 10 10 13 26 More

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

  • The Southern District of Mississippi (Jackson)—with 1130 prosecutions as compared with 201.6 prosecutions per ten million population in the United States—was the most active during December 2008. The Southern District of Mississippi (Jackson) was ranked 4 a year ago.

  • The Middle District of Louisiana (Baton Rouge) ranked 2nd.

  • District of Montana is now ranking 3rd.

Recent entrants to the top 10 list were Kansas , now ranked 10th , and Western District of North Carolina (Asheville) at 5th In the same order, these districts ranked 13th and 22nd one year ago and 26th and 28th five years ago.

The federal judicial district which showed the greatest growth in the rate of white collar crime prosecutions compared to one year ago— 84.6 percent—was Nevada . Compared to five years ago, the district with the largest growth— 107.1 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 prosecutions— 37.2 percent—was Kansas .  But over the past five years, Nevada showed the largest drop— 57.9 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 of this type during December 2008 are shown in Table 4.

Judge Count Rank  
Starrett, Keith Miss, S 9 1 More
Gold, Alan Stephen Fla, S 8 2 More
Vratil, Kathryn Hoefer Kansas 8 2 More
Phillips, Virginia A. Cal, C 7 4 More
Huff, Marilyn L. Cal, S 7 4 More
Robart, James L. Wash, W 7 4 More
Ellison, Keith P. Texas, S 6 7 More
Clevert, Charles N. Jr. Wisc, E 6 7 More
Hicks, Larry R. Nevada 5 9 More
Nugent, Donald C. Ohio, N 5 9 More
Lynn, Barbara M. Texas, N 5 9 More
Rodriguez, Xavier Texas, W 5 9 More

Table 4: Top 10 judges

A total of 5 out of the "top ten" judges were in districts which were in the top ten with the largest number of white collar crime filings per capita, while the remaining 7 judges were from other districts. (Because of ties, there were a total of 12 judges in the "top ten" rankings.)

  • Judge Keith Starrett in the Southern District of Mississippi (Jackson) ranked 1st with 9 defendants in white collar crime cases.

  • Judges Alan Stephen Gold in the Southern District of Florida (Miami) and Kathryn Hoefer Vratil in the District of Kansas ranked 2nd with 8 defendants in white collar crime cases.

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Copyright 2009, TRAC Reports, Inc.

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