The underlying data elements behind each request, administrative appeal, and consultation received and processed that is used to create the Annual FOIA Report at the conclusion of each fiscal year.

Policy & Guidance relating to Department of Justice Information Technology Practices and Management

Consumer complaints registered with the Oregon Dept. of Justice. The database of consumer complaints is derived from consumer contacts for the past 3 years and is for information only. This database may not offer a completely accurate or comprehensive account of every incident. Several factors, including a company’s size and volume of transactions, may affect the likelihood of a consumer complaint being filed. The number of complaints about a business may not be a reliable measure as to whether it is appropriately conducting business.

The information in this database is updated as soon as possible. However, recently submitted complaints may not be immediately available.

The statements in this database do not necessarily reflect the opinion of the DOJ.

For more information, see http://www.doj.state.or.us/finfraud/index.shtml

The annual data tables contained in this document provide summary statistics on the civil enforcement activities of the United States Trustee Program. This report covers litigation outcomes. Successful Litigation Outcomes include outcomes where the court entered an order granting the relief sought by the United States Trustee, in whole or in part, or the defendant agreed to other relief satisfactory to the United States Trustee.

The underlying data elements behind each request, administrative appeal, and consultation received and processed that is used to create the Annual FOIA Report at the conclusion of each fiscal year.

Context:

This database of terrorism prosecutions and sentencing information was created using public records including three lists of prosecutions from the U.S. Department of Justice (from 2010, 2014, and 2015), court files available through the federal judiciary’s case management system, DOJ press releases, and inmate data from the Bureau of Prisons.

Content:

Trevor Aaronson created the first iteration of this database as part of a project funded by the Investigative Reporting Program at the University of California, Berkeley. Mother Jones magazine published that data in 2011, along with accompanying articles, in a package that is still available online. Beginning in 2016, Aaronson and Margot Williams collaborated to update and expand the database, with a new emphasis to include Bureau of Prisons data because so many post-9/11 terrorism defendants had been released. The cases include any prosecutions after September 11, 2001, that the U.S. government labeled as related to international terrorism. The Intercept first published this database on April 20, 2017. For each defendant in the database, U.S. criminal code data related to charges has been categorized according to this legend

Acknowledgements:

This database is licensed under Creative Commons for noncommercial uses with appropriate attribution. If you publish this database, in part or whole, you must credit Trevor Aaronson and Margot Williams.

Inspiration:

• What are the most common charges?
• Are the sentence lengths similar?

This study investigates the indirect effects of Department of Justice (DOJ) interventions on local law enforcement agencies not directly under investigation, focusing on the DOJ's scrutiny of the Alamance County Sheriff's Office, an early adopter of the 287(g) program. Analyzing North Carolina traffic stop data, we assess changes in low-level traffic stops among Hispanic motorists before and after the DOJ's intervention. The findings reveal that neighboring agencies increased their stops of Hispanic motorists at checkpoints, indicating a shift in racial profiling to more covert contexts in response to federal oversight. This study emphasizes how federal interventions can influence local policing practices, particularly in racial profiling and immigration enforcement, under the guise of community safety.

This dataset contains the Department of Justice Performance Statistics on Assembly Written Questions

The Summary includes energy, water, waste, paper and transport across financial years.

Consumer complaints registered with the Oregon Dept. of Justice. The database of consumer complaints is derived from consumer contacts for the past 3 years and is for information only. This database may not offer a completely accurate or comprehensive account of every incident. Several factors, including a company’s size and volume of transactions, may affect the likelihood of a consumer complaint being filed. The number of complaints about a business may not be a reliable measure as to whether it is appropriately conducting business.

The information in this database is updated as soon as possible. However, recently submitted complaints may not be immediately available.

The statements in this database do not necessarily reflect the opinion of the DOJ.

For more information, see http://www.doj.state.or.us/finfraud/index.shtml

Context

This data was extracted from the CATS database dump released by the Justice Department under a FOIA request as part of the Pulitzer Center's Taken project.

Content

The data is available as CSV and JSON.

Acknowledgements

Data extraction was by performed by Maptian and supported by the Pulitzer Center.

Inspiration

We're hoping to encourage analysis of this data by reporters and experts in the field. If you are a newsroom interested in joining the Taken project, please get in touch.

Seizure method codes

A: Adoption F: Warrantless/PC C: Search Warrent H: Judgement I: Incident Arrest D: Seizure Warrent N: Consent O: Other B: Indictment J: Civil Complaint Q: Warrent - Federal Seizure P: Warrent - State Seizure R: Warrent - Federal Search and Seizure

Asset type codes

VH: Vehicle CA: Cash AL: Alcohol CH: Chemicals FI: Financial Instrument WE: Firearms RP: Real Property EL: Electronic Equipment AM: Ammunition OT: Other

Judicial district codes

ALM: Alabama, Middle ALN: Alabama, Northern ALS: Alabama, Southern AK: Alaska AZ: Arizona ARE: Arkansas, Eastern ARW: Arkansas, Western CAC: California, Central CAE: California, Eastern CAN: California, Northern CAS: California, Southern CO: Colorado CT: Connecticut DE: Delaware FLM: Florida, Middle FLN: Florida, Northern FLS: Florida, Southern GAM: Georgia, Middle GAN: Georgia, Northern GAS: Georgia, Southern HI: Hawaii ID: Idaho ILC: Illinois, Central ILN: Illinois, Northern ILS: Illinois, Southern INN: Indiana, Northern INS: Indiana, Southern IAN: Iowa, Northern IAS: Iowa, Southern KS: Kansas KYE: Kentucky, Eastern KYW: Kentucky, Western LAE: Louisiana, Eastern LAM: Louisiana, Middle LAW: Louisiana, Western ME: Maine MD: Maryland MA: Massachusetts MIE: Michigan, Eastern MIW: Michigan, Western MN: Minnesota MSN: Mississippi, Northern MSS: Mississippi, Southern MOE: Missouri, Eastern MOW: Missouri, Western MT: Montana NE: Nebraska NV: Nevada NH: New Hampshire NJ: New Jersey NM: New Mexico NYE: New York, Eastern NYN: New York, Northern NYS: New York, Southern NYW: New York, Western NCE: North Carolina, Eastern NCM: North Carolina, Middle NCW: North Carolina, Western ND: North Dakota OHN: Ohio, Northern OHS: Ohio, Southern OHE: Oklahoma, Eastern OHN: Oklahoma, Northern OHW: Oklahoma, Western OR: Oregon PEE: Pennsylvania, Eastern PEM: Pennsylvania, Middle PEW: Pennsylvania, Western RI: Rhode Island SC: South Carolina SD: South Dakota TNE: Tennessee, Eastern TNM: Tennessee, Middle TNW: Tennessee, Western TXE: Texas, Eastern TXN: Texas, Northern TXS: Texas, Southern TXW: Texas, Western UT: Utah VT: Vermont VAE: Virginia, Eastern VAW: Virginia, Western DC: Washington, D.C. WAW: Washington, Eastern WAW: Washington, Western WVN: West Virginia, Northern WVS: West Virginia, Southern WIE: Wisconsin, Eastern WIW: Wisconsin, Western WY: Wyoming

Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. To learn more about this effort, please visit the report home page at https://ceo.lacounty.gov/ardi/sbla/. For more information about the purpose of this data, please contact CEO-ARDI. For more information about the configuration of this data, please contact ISD-Enterprise GIS. table name indicator name Universe source race notes timeframe source url

traffic_stops Traffic stops Traffic violation stops; ORI CA019xxxx (LA County Law Enforcement Agencies) CA DOJ Race is perceived by officer; any one race is alone or in combination with another race 2019 Annual Download from LAC Open Data

perceived_neighborhood_safe_2018 Perceived Their Neighborhood to Be Safe from Crime Estimate (%) Adults (Ages 18 Years and Older) LAC Health Survey

2018 https://www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

jail_pop_per100k_2016jail_pop_per100k_2019jail_pop_per100k_2021 Jail population rate per 100k population Average daily number of people held in jail in a given year; population denominator is ages 15 - 64 Vera Institute

2016 2019 2021 https://github.com/vera-institute/incarceration-trends/blob/master/README.mdhttps://trends.vera.org/state/CA/county/los_angeles_county

prison_pop_per100k_2016 Prison population rate per 100k population Point in time count of people in prison on December 31 of a given year; population denominator is ages 15 - 64 Vera Institute

2016 https://github.com/vera-institute/incarceration-trends/blob/master/README.md

arrests_adult_felony Total Felony Arrests - Adult Los Angeles County Arrests CA DOJ The subjectivity of the classification and labeling process must be considered in the analysis of race/ethnic group data. 2017-2021 https://openjustice.doj.ca.gov/data

arrests_adult_misdemeanor Total Misdemeanor Arrests - Adult Los Angeles County Arrests CA DOJ The subjectivity of the classification and labeling process must be considered in the analysis of race/ethnic group data. 2017-2021 https://openjustice.doj.ca.gov/data

domestic_violencedv_maledv_female Percent of Adults (Ages 18 Years and Older) Who Reported Ever Experiencing Physical and/or Sexual Violence by an Intimate Partner.
Adults/td> Los Angeles County Health Survey Overall and broken down by gender 2018 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

These data provide information on the number of arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program each year by police agencies in the United States. These arrest reports provide data on 43 offenses including violent crime, drug use, gambling, and larceny. The data received by ICPSR were structured as a hierarchical file containing (per reporting police agency) an agency header record, 1 to 12 monthly header records, and 1 to 43 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to a rectangular format.

Consumer complaints registered with the Oregon Dept. of Justice. The database of consumer complaints is derived from consumer contacts for the years of 2017 - 2019 and is for informational purposes only. This dataset may not offer a completely accurate or comprehensive account of every incident. Several factors, including a company’s size and volume of transactions, may affect the likelihood of a consumer complaint being filed. The number of complaints about a business may not be a reliable measure as to whether it is appropriately conducting business.

The information in this dataset is updated as soon as possible. However, recently submitted complaints may not be immediately available.

The statements in this dataset do not necessarily reflect the opinion of the DOJ.

For more information, see http://www.doj.state.or.us/finfraud/index.shtml

Criminal enforcement actions brought by the U.S. Department of Justice against global banks and related actions by U.S. regulatory agencies and foreign governments during the period 2008-2016

The data contain records of suspects in federal criminal matters received by United States attorneys or filed before the United States magistrates during fiscal year 2019. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.

description: Law Enforcement Locations in Kansas Any location where sworn officers of a law enforcement agency are regularly based or stationed. Law enforcement agencies "are publicly funded and employ at least one full-time or part-time sworn officer with general arrest powers". This is the definition used by the US Department of Justice - Bureau of Justice Statistics (DOJ-BJS) for their Law Enforcement Management and Administrative Statistics (LEMAS) survey. Although LEMAS only includes non Federal Agencies, this dataset includes locations for federal, state, local, and special jurisdiction law enforcement agencies. Law enforcement agencies include, but are not limited to, municipal police, county sheriffs, state police, school police, park police, railroad police, federal law enforcement agencies, departments within non law enforcement federal agencies charged with law enforcement (e.g., US Postal Inspectors), and cross jurisdictional authorities (e.g., Port Authority Police). In general, the requirements and training for becoming a sworn law enforcement officer are set by each state. Law Enforcement agencies themselves are not chartered or licensed by their state. County, city, and other government authorities within each state are usually empowered by their state law to setup or disband Law Enforcement agencies. Generally, sworn Law Enforcement officers must report which agency they are employed by to the state. Although TGS's intention is to only include locations associated with agencies that meet the above definition, TGS has discovered a few locations that are associated with agencies that are not publicly funded. TGS is deleting these locations as we become aware of them, but some probably still exist in this dataset. Personal homes, administrative offices and temporary locations are intended to be excluded from this dataset, but a few may be included. Personal homes of constables may exist due to fact that many constables work out of their home. FBI entites are intended to be excluded from this dataset, but a few may be included. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] attribute. Based upon this attribute, the oldest record dates from 2006/06/27 and the newest record dates from 2008/03/06; abstract: Law Enforcement Locations in Kansas Any location where sworn officers of a law enforcement agency are regularly based or stationed. Law enforcement agencies "are publicly funded and employ at least one full-time or part-time sworn officer with general arrest powers". This is the definition used by the US Department of Justice - Bureau of Justice Statistics (DOJ-BJS) for their Law Enforcement Management and Administrative Statistics (LEMAS) survey. Although LEMAS only includes non Federal Agencies, this dataset includes locations for federal, state, local, and special jurisdiction law enforcement agencies. Law enforcement agencies include, but are not limited to, municipal police, county sheriffs, state police, school police, park police, railroad police, federal law enforcement agencies, departments within non law enforcement federal agencies charged with law enforcement (e.g., US Postal Inspectors), and cross jurisdictional authorities (e.g., Port Authority Police). In general, the requirements and training for becoming a sworn law enforcement officer are set by each state. Law Enforcement agencies themselves are not chartered or licensed by their state. County, city, and other government authorities within each state are usually empowered by their state law to setup or disband Law Enforcement agencies. Generally, sworn Law Enforcement officers must report which agency they are employed by to the state. Although TGS's intention is to only include locations associated with agencies that meet the above definition, TGS has discovered a few locations that are associated with agencies that are not publicly funded. TGS is deleting these locations as we become aware of them, but some probably still exist in this dataset. Personal homes, administrative offices and temporary locations are intended to be excluded from this dataset, but a few may be included. Personal homes of constables may exist due to fact that many constables work out of their home. FBI entites are intended to be excluded from this dataset, but a few may be included. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] attribute. Based upon this attribute, the oldest record dates from 2006/06/27 and the newest record dates from 2008/03/06

The National Justice Agency List, 1985 is a master name and address file created and maintained by the Bureau of the Census for the Bureau of Justice Statistics. The file contains information on the following topics: prosecution and civil attorneys, public defenders, law enforcement, courts, probation and parole, juvenile corrections, local adult corrections, federal relations with American Indians, and other justice issues.

The data contain records of defendants in federal criminal cases filed in United States District Court during fiscal year 2020. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.

The BJS Census of State and Local Law Enforcement Agencies (CSLLEA) is conducted every 4 years to provide a complete enumeration of agencies and their employees. Employment data are reported by agencies for sworn and nonsworn (civilian) personnel and, within these categories, by full-time or part-time status. The pay period that included September 30, 2008, was the reference date for all personnel data. Agencies also complete a checklist of functions they regularly perform, or have primary responsibility for, within the following areas: patrol and response, criminal investigation, traffic and vehicle-related functions, detention-related functions, court-related functions, special public safety functions (e.g., animal control), task force participation, and specialized functions (e.g., search and rescue). The CSLLEA provides national data on the number of state and local law enforcement agencies and employees for local police departments, sheriffs' offices, state law enforcement agencies, and special jurisdiction agencies. It also serves as the sampling frame for BJS surveys of law enforcement agencies.