Antitrust Division Ten Year Workload Statistics

Metadata Updated: August 18, 2021

This dataset summarizes the Antitrust Division workload statistics compiled for the immediately preceding ten fiscal years. The data shows: the number of investigations (premerger, civil, and criminal), cases (civil, criminal, administrative, and appellate), judgement enforcements, case results, confinements, and other activities.

Access & Use Information

Public: This dataset is intended for public access and use. License: us-pd

Collection

This dataset is a collection of other datasets.

Search datasets within this collection

Downloads & Resources

Dates

Metadata Created Date November 10, 2020
Metadata Updated Date August 18, 2021

Metadata Source

Harvested from DOJ JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date November 10, 2020
Metadata Updated Date August 18, 2021
Publisher Antitrust Division
Unique Identifier Unknown
Maintainer
Identifier 4
Data First Published 2019-06-28T00:00:00
Language eng
Data Last Modified 2019-12-02T00:00:00
Category geospatial
Public Access Level public
Bureau Code 011:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://www.justice.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Collection Metadata true
Harvest Object Id 72f8d2a3-36a5-48eb-8c06-ff522dbb7007
Harvest Source Id 3290e90a-116f-42fc-86ac-e65521ef3b68
Harvest Source Title DOJ JSON
Homepage URL https://www.justice.gov/atr/division-operations
License http://www.usa.gov/publicdomain/label/1.0/
Metadata Type geospatial
Program Code 011:022
Publisher Hierarchy Department of Justice > Antitrust Division
Source Datajson Identifier True
Source Hash eb92fc243025fd21bc81346093e1146369940d9e
Source Schema Version 1.1
Spatial United States and International Territories
Temporal 2008-10-01T00:00:00.0000000/2018-09-30T00:00:00.0000000

Didn't find what you're looking for? Suggest a dataset here.