This dataset provides detais about how OPLA also represents the agency and supports litigation efforts by the DOJ in federal matters before various administrative tribunals.

This dataset details some of the challenges the OPLA attorneys faced in FY 2024 due to an unprecedented uptick in federal litigation, providing legal representation and guidance to the agency and assisting DOJ before federal courts in matters ranging from immigration law, customs law, criminal law, administrative law, tort law, employment law and fiscal law.

This dataset details how OPLA works hand in hand with HSI agents and ERO officers to ensure that individuals who have committed serious crimes before entering the country are identified and prosecuted or removed from the country, as approp.

This dataset details some of the complex and high-profile cases that OPLA was involved in throughout FY 2024.

The annual statistical reports for the Offices of the United States Attorneys contains statistical tables displaying both national and district caseload data, covering the many priorities of the United States Attorneys in both criminal prosecution and civ

US Attorney Districts Shapefile

The data contain records of defendants in criminal cases filed in United States District Court before or during fiscal year 2011 and still pending as of year-end. The data were constructed from the Administrative Office of the United States District Courts' (AOUSC) criminal file. Defendants in criminal cases may be either individuals or corporations. There is one record for each defendant in each case filed. Included in the records are data from court proceedings and offense codes for up to five offenses charged at the time the case was filed. (The most serious charge at termination may differ from the most serious charge at case filing, due to plea bargaining or action of the judge or jury.) In a case with multiple charges against the defendant, a "most serious" offense charge is determined by a hierarchy of offenses based on statutory maximum penalties associated with the charges. The data file contains variables from the original AOUSC files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 4.1-4.5 and 5.1-5.6. Variables containing identifying information (e.g., name, Social Security number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.

Since the inception of the Edward Byrne Memorial State and Local Law Enforcement Assistance Program in 1988, a large proportion of formula grant program funds has been allocated by state administrative agencies (SAA) to support multi-jurisdictional drug task forces (MJTFs). MJTFs are a subset of law enforcement task forces that were created in order to target the illegal distribution of drugs at the local and regional levels. While many policymakers, researchers, and practitioners express confidence in the task force approach generally, there remains insufficient understanding of the possible community and organizational impact of individual MJTFs and the kinds of evaluation methodologies that can elicit such information. The goal of this project was to identify several methodologies that could be used by state planning agencies, task forces, and others to assess the work of MJTFs. This project consisted of two surveys that were designed to ascertain the extent to which state administrative agencies (SAAs) and multi-jurisdictional drug task forces (MJTFs) collected various kinds of process and outcome information and conducted evaluations of task forces.

The Law Enforcement Assistance Administration File (PROFILE) System was designed for the automated storage and retrieval of information describing programs sponsored by the Bureau of Justice Statistics. The two types of data elements used to describe the projects in this file are basic data and program descriptors. The basic data elements include the title of the grant, information regarding the location of the grantee and the project, critical funding dates, the government level and type of grantee, financial data, the name of the project director, indication of the availability of reports, and identification numbers. The program descriptor elements form the program classification system and describe the key characteristics of the program. Key characteristics include subject of the program, primary and secondary activity, whether the program covered a juvenile or adult problem, and what specific crimes, clients, staff, program strategies, agencies, equipment, or research methods were to be used or would be affected by the project.