Download QuantGov Data in Bulk

RegData U.S. counts individual regulatory restrictions in the Code of Federal Regulations (CFR) and then attributes those restrictions to the authoring agencies and departments that promulgated them and the industries that are affected by them. This allows users to compare the relative restrictiveness of certain industries and the relative propensity of agencies and departments to regulate. It also allows users to draw connections between certain agencies and the industries they tend to regulate.

This bulk download includes the data for the years 1970 through 2022. Previously, industry data was not available in this download, as of 11-18-2024 the 3-digit naics industry classification data is included.

State RegData extends the logic of the RegData US project to the American states. Like RegData US, State RegData datasets employ the QuantGov platform to download and analyze both state regulations and statutes, turning thousands of pages of dense regulatory and statutory text into datasets. Each state dataset contains the following data outputs: general metadata, restriction counts, word counts, and industry relevance. State RegData 2023 drastically improves individual document-level metadata. This allows users to compare individual regulations overtime. Consult the user guide included in the bulk dowload for more information on the data and underlying documents.

State RegData extends the logic of the RegData US project to the American states. Like RegData US, State RegData datasets employ the QuantGov platform to download and analyze both state regulations and statutes, turning thousands of pages of dense regulatory and statutory text into datasets. Each state dataset contains the following data outputs: general metadata, restriction counts, word counts, and industry relevance. State RegData 2023 drastically improves individual document-level metadata. This allows users to compare individual regulations overtime. Consult the user guide included in the bulk dowload for more information on the data and underlying documents. This bulk download includes the data for the statutes for 2023.

State RegData extends the logic of the RegData US project to the American states. Like RegData US, State RegData datasets employ the QuantGov platform to download and analyze both state regulations and statutes, turning thousands of pages of dense regulatory and statutory text into datasets. Each state dataset contains the following data outputs: general metadata, restriction counts, word counts, and industry relevance.

The Definitive Edition adds for the first time clean, usable agency and cluster data.

This bulk download includes the data for the regulations through 2022.

State RegData extends the logic of the RegData US project to the American states. Like RegData US, State RegData datasets employ the QuantGov platform to download and analyze both state regulations and statutes, turning thousands of pages of dense regulatory and statutory text into datasets. Each state dataset contains the following data outputs: general metadata, restriction counts, word counts, and industry relevance.

The Definitive Edition adds for the first time clean, usable agency and cluster data.

This bulk download includes the data for the statutes for 2022.

All datasets from the RegData 4.1 project, including document metadata and NAICS industry classification results for the years 1970-2021.

All datasets from the RegData 4.0 project, including document metadata and NAICS industry classification results for the years 1970-2020.

All datasets from the RegData 3.2 project, including document metadata and NAICS industry classification results for the years 1970-2019.

All datasets from the RegData Canada 2.2 project. Date is through the year 2021 and includes industry classification, restriction counts, and compexity metrics.

All datasets from the RegData Australia 2.2 project, including document metadata and complexity metrics. Data is through the year 2021.

All datasets from the RegData UK 1.0 project, including document metadata and complexity metrics. Data is through the year 2021.

All datasets from the RegData India 1.0 project, including document metadata and complexity metrics.

Document-level statistics from various state administrative codes, as of July 2021. Specifically, this zip file provides three csvs, which include total word and restriction counts, complexity metrics, and NAICS industry classification.

Document-level statistics from various state statutory codes, as of August 2021. Specifically, this zip file provides three csvs, which include total word and restriction counts, complexity metrics, and NAICS industry classification.

BY: Giancarlo Canaparo, Patrick McLaughlin, Jonathan Nelson, Liya Palagashvili
DATE: January 7, 2022

Abstract: We develop an algorithm to quantify the number of statutes within the United States Code that create one or more federal crimes. This is the first effort to “count the Code” since 2008 and is unique among previous efforts in that it employs an algorithm to sift through Code using carefully selected keywords to count the number of statutes that create crimes. We find 1,510 statutes in the Code as of 2019 that create at least one crime. This represents an increase of nearly 36 percent relative to the 1,111 statutes that created at least one crime found in the 1994 United States Code. Although the algorithm cannot precisely count discrete crimes within sections, we estimate the number of crimes contained within the Code as of 2019 at 5,199. These findings support the conclusions of other studies that the number of federal crimes has increased over time, while also bolstering the concerns raised by numerous scholars that federal crimes are too diffuse, too numerous, and oftentimes too vague for the average citizen to know what the law requires of him or her. Lastly, we present preliminary ideas for further investigation using our new dataset.

Document-level statistics from various state administrative codes, as of July 2020. Specifically, this zip file provides three csvs, which include total word and restriction counts, complexity metrics, and NAICS industry classification. This is a slightly updated version of the 2.0 version with improved accuracy for a handful of states.

Document-level statistics from various state administrative codes, as of July 2020. Specifically, this zip file provides three csvs, which include total word and restriction counts, complexity metrics, and NAICS industry classification.

Classification probabilities for relation to healthcare for all U.S. states. This project uses the files in the State RegData 2.0 data project.

Classification probabilities for relation to healthcare for the U.S. Code of Federal Regulations. This project uses the files from the RegData U.S. 3.2 data project.

Document-level statistics from the Federal Register, 1996-2017, with codebook.

Metadata relating the the deregulation dataset. Will include metadata for each Federal Register document spanning back to 2012, and deregulatory word counts.

The complete dataset and user's guide for the 2021 version of the FRASE project. This dataset allows researchers to compare the relative impact of federal regulations on each state economy. This data is not available through the QuantGov API.

QuantGov Occupation data looks to pair the text of a piece of regulatory code with an occupation from the Standard Occupational Classification (SOC) system from the Bureau of Labor Statistics. Analyzed documents include US federal and US state regulatory codes.

Occupational Licensing RegData identifies and quantifies regulatory text that is related to occupational licensing. The output of this data series is simply a probability for each State RegData 2.0 document has text relating to occupational licensing.

This dataset establishes assiciations between public laws and CFR parts from 1980-2016. This data is not available through the QuantGov API.

This dataset contains Section 232 tariff exemption requests collected from the new Commerce Portal. This data is updated approximately every quarter and is not available through the QuantGov API.

This dataset contains Section 232 tariff exemption requests collected from the old Commerce Portal. This data is no longer updated and is not available through the QuantGov API.

This dataset contains Section 301 tariff exemption requests. This data is updated approximately every quarter and is not available in the QuantGov API.

The text of temporary flight restrictions and their corresponding shapefiles issued from Sept 2017 to June 2019 (5,646 TFRs). This data is not available in the QuantGov API.