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.
RegData U.S. 5.0 includes data for years 1970-2022.
For a more in-depth explanation of the RegData methodology, see the RegData U.S. User's Guide.
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.
RegData Australia is part of the RegData project that looks to quantify the regulation in a given state’s regulatory code and other regulatory documents. RegData Australia focuses on the regulatory codes of the federal Australia government and the six federated states within the country, not including the internal and external territories. The quantified regulatory codes will allow researchers to directly test the effect of regulation on economic outcomes in Australia.
The full documentation for RegData Australia can be found here.
This bulk download includes data for both regulations and acts through 2022.
RegData Canada is part of the RegData project that looks to quantify the regulation in a given jurisdiction’s regulatory code and other regulatory documents. RegData Canada focuses on the regulatory codes of the federal Canadian government and the provinces and territories within the country. The quantified regulatory codes will allow researchers to directly test the effect of regulation on economic outcomes in Canada.
The full documentation for RegData Canada can be found here.
This bulk download includes data for both regulations and acts through 2022.
RegData U.K. 1.0 is the first iteration of the United Kingdom Legal dataset in the RegData Projects. The dataset organizes United Kingdom statutes, enacted and revised, into “Years in effect.” In this context, “Years in effect” means that the file has metadata stating that it is in enacted by the first day of the new calendar year and does not have metadata stating that it has been repealed. The dataset provides the following data series: the total number of restrictions, including the types of restrictive terms (shall, must, may not, required, prohibited), word counts, and the complexity of the text (sentence length, conditionals, Flesh reading ease, Shannon entropy).
The full documentation for RegData UK can be found here.
RegData India is part of the RegData project that looks to quantify the regulation in a given jurisdiction’s regulatory and legislative code and other regulatory documents. RegData India currently includes federal legislation promulgated in the form of Acts of Parliament by the Government of India, as well as all state legislation related to education promulgated by the relevant state authorities. The quantified legislative documents will provide accurate and informative regulatory data that can be used in a wide variety of research applications.
The full documentation for RegData India can be found here.
Document-level statistics from the Federal Register, 1996-2017, with codebook.
The deregulation dataset attempts to capture deregulation of the Code of Federal Regulations through the publication of the Federal Register. While RegData projects successfully track the addition of regulation, or more broadly speaking, the growth rate of regulation, RegData projects don’t innately identify text that is deregulatory in nature. This dataset attempts to capture just that, deregulatory text.
The full documentation for Deregulation can be found here.
This download includes the data used in the following paper:
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.
The Federal Regulation and State Enterprise (FRASE) index ranks the 50 states and the District of Columbia according to the impact of federal regulation on the private-sector industries in each state’s economy. A ranking of 1 indicates the highest level of impact of federal regulation on a state’s economy, whereas a ranking of 51 means the lowest. Federal regulations can affect each state differently because every state’s economy comprises a unique mix of industries. Federal regulations often target a specific industry, which in turn means that the states where that industry is relatively important will be affected more by those targeted regulations. A state’s FRASE score represents the degree of impact federal regulations have on a state’s economy relative to federal regulations’ impact on the national economy.
This download includes data for both constant and current rankings for the 50 states and the District of Columbia, as well as the user's guide for the FRASE project.
This data is not available through the QuantGov API.
The Public Law Database (PLDB) identifies associations between parts published in the Code of Federal Regulations (CFR) and public laws passed by Congress. The Public Law Database consists of two datasets which are meant to answer certain questions about the relationship between acts of congress and federal regulations.
The “Parallel Table of Authorities and Rules” lists each part of the code of federal regulations next to the U.S. public law (federal bill pertaining to the public at large passed by congress and signed into law by the president) which authorized the executive branch to regulate that area of economy/society. If a citizen wanted to know which act of congress authorized the federal government to promulgate a given regulation, this table would allow them to work backwards and find that original act of congress. This table can be a confusing because of the existence of something called the U.S. Code. The U.S. Code is NOT the same thing as the Code of Federal Regulations. Instead, it is codification of U.S. Public Laws that re-sorts and reorganizes them by subject matter. It essentially functions as a dictionary of U.S. Public Laws which allows citizens to find laws by searching through them by subject matter rather than wading through them chronologically as they were created. In the Parallel Table of Authorities and Rules, most regulations are justified by citing areas in the US Code rather than in the Public Law on which it is based. This is similar to a researcher who justifies a claim by citing a secondary source rather than the primary source on which it is based; it is technically a valid citation, but it requires the reader to do more work to find the original source of authority for the claim.
The full documentation for Public Law can be found here.
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.
The full documentation for Temporary Flight Restrictions can be found here.
These data can be combined with State RegData 3.0.
The Healthcare Topics dataset is an expansion on the previously released State Health RegData 1.0. This dataset classifies state regulations into 20 different healthcare topics. These topics were specifically chosen to help researchers explore the relationship between regulations, statutes, and healthcare.
The full documentation for Healthcare Topics can be found here.
These data can be combined with State RegData 3.0.
The State Healthcare RegData (State Health RegData) belongs to the Mercatus Center's RegData suite of products. Using the QuantGov platform, State Health RegData identifies healthcare regulations in 44 US states. The dataset includes the following output, like all RegData products: the probability that the unit of regulation pertains to healthcare, the total number of restrictions, including the types of restrictive terms (shall, must, may not, required, prohibited), wordcounts, the complexity of the text, and the industry relevance.
The full documentation for State Health RegData can be found here.
These data can be combined with RegData U.S. 3.2.
Federal Healthcare RegData 2.0 builds on the RegData project to catalog federal and state regulations. The Federal Healthcare project uses the QuantGov platform to analyze regulations that specifically affect the provision of healthcare. This project focuses on regulations that exist in the Code of Federal Register (CFR) for the years 1970 to 2019.
The full documentation for Federal Healthcare RegData can be found here.
This data comes from the new version of the portal.
Under Section 232 of the Trade Expansion Act of 1962, the Commerce Department conducted investigations to determine whether steel and aluminum imports pose a threat to national security. On March 8, 2018, President Trump used the recommendations from these Commerce reports to impose a 25 percent tariff on imported steel and a 10 percent tariff on imported aluminum.
In response to these increased costs, US firms and individuals that use steel and aluminum may file a request to be excluded from these tariffs. The exclusion request process is conducted by the Bureau of Industry and Security (BIS) of the Commerce Department, and all requests are now made publically available on https://232app.azurewebsites.net/. This portal began receiving requests in June of 2019. Prior to this date, all requests are publically available on regulations.gov. US producers of steel and aluminum have the ability to object to each of the exclusion requests within 30 days of its submission. Multiple objections can be made for a single exclusion request.
The data are created using the information provided on the exclusion requests. The data are updated regularly as additional exclusion requests and objections are submitted. When using the datasets, please refer to the variable descriptions below.
The full documentation for Section 232 Tariffs can be found here.
This data comes from the old version of the portal.
Under Section 232 of the Trade Expansion Act of 1962, the Commerce Department conducted investigations to determine whether steel and aluminum imports pose a threat to national security. On March 8, 2018, President Trump used the recommendations from these Commerce reports to impose a 25 percent tariff on imported steel and a 10 percent tariff on imported aluminum.
In response to these increased costs, US firms and individuals that use steel and aluminum may file a request to be excluded from these tariffs. The exclusion request process is conducted by the Bureau of Industry and Security (BIS) of the Commerce Department, and all requests are now made publically available on https://232app.azurewebsites.net/. This portal began receiving requests in June of 2019. Prior to this date, all requests are publically available on regulations.gov. US producers of steel and aluminum have the ability to object to each of the exclusion requests within 30 days of its submission. Multiple objections can be made for a single exclusion request.
The data are created using the information provided on the exclusion requests. The data are updated regularly as additional exclusion requests and objections are submitted. When using the datasets, please refer to the variable descriptions below.
The full documentation for Section 232 Tariffs can be found here.
Under Section 301(B) of the Trade Act of 1974, the United States Trade Representative (USTR) conducted an investigation into certain acts, policies, and procedures of the Chinese government related to technology transfer, intellectual property, and innovation. Following the investigation, the USTR invited public comment on a proposed list of tariffs. USTR then modified the list and on July 6, 2018, the first tranche of tariffs went into effect. To date, there have been three tranches of tariffs, accounting for approximately $250 billion of US imports from China (nearly half of the value of US imports from China in 2018). The fourth tranche, if implemented, would cover nearly the remaining amount of trade.
A tariff is a tax levied on imported goods and paid by the importer. Consumers generally bear the burden of the tax when the import is a final consumer good, and manufacturers generally bear the burden when the import is an intermediate good although it depends on market conditions and numerous other factors.
In response to these increased costs, US firms and individuals had the opportunity to file a request for a specific product to be excluded from tranche one, two or three. Once an exclusion request is approved, the product is removed from the list and is no longer subject to the Section 301 tariff. An approval is then valid for one year. The exclusion request process is conducted by the USTR, and all requests for tranche one and two are made publically available on regulations.gov. For tranche three, all the requests are made publically available on https://exclusions.ustr.gov/s/PublicDocket.
The data are created using the information provided on the exclusion requests and decisions. The data will be regularly updated as the USTR releases more decisions on the pending requests. When using the datasets, please refer to the variable descriptions below.
The full documentation for Section 301 Tariffs can be found here.
These data can be combined with either RegData U.S. 4.1 or State RegData 3.0 or both.
Similar to the industry data in RegData, Occupation Data estimates the relevance of SOC occupation codes to regulations in the US Federal Code of Federal Regulations and state regulatory codes. These data can be used by researchers to quantify the amount of regulation relevant to particular occupations, which in turn could be used to estimate the effect of regulation on the economic performance of those occupations and other interesting insights.
The full documentation for Occupation Data can be found here.
These data can be combined with State RegData 3.0.
Using the QuantGov platform, Occupational Licensing RegData catalogs the list of occupations that require licensing in 44 US states. The dataset includes the following output, like all RegData products: the probability that the unit of regulation is OL, the total number of restrictions, including the types of restrictive terms (shall, must, may not, required, prohibited), word counts, the complexity of the text, and the industry relevance.
The full documentation for Occupational Licensing can be found here.
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.
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.
RegData U.S. 4.1 includes data for years 1970-2021.
For a more in-depth explanation of the RegData methodology, see the RegData U.S. User's Guide.
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.
RegData U.S. 4.0 includes data for years 1970-2020.
For a more in-depth explanation of the RegData methodology, see the RegData U.S. User's Guide.
All datasets from the RegData 3.2 project, including document metadata and NAICS industry classification results for the years 1970-2019.
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.
This bulk download includes the data for the regulations for 2021.
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.
This bulk download includes the data for the statutes for 2021.
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 state regulations. Each state dataset contains the following data outputs: general metadata, restriction counts, word counts, and industry relevance.
This is a slightly updated version of the 2.0 version with improved accuracy for a handful of states.
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 state regulations. Each state dataset contains the following data outputs: general metadata, restriction counts, word counts, and industry relevance.
This bulk download includes the data for 2020.
RegData Australia is part of the RegData project that looks to quantify the regulation in a given state’s regulatory code and other regulatory documents. RegData Australia focuses on the regulatory codes of the federal Australia government and the six federated states within the country, not including the internal and external territories. The quantified regulatory codes will allow researchers to directly test the effect of regulation on economic outcomes in Australia.
The full documentation for RegData Australia can be found here.
RegData Canada is part of the RegData project that looks to quantify the regulation in a given jurisdiction’s regulatory code and other regulatory documents. RegData Canada focuses on the regulatory codes of the federal Canadian government and the provinces and territories within the country. The quantified regulatory codes will allow researchers to directly test the effect of regulation on economic outcomes in Canada.
The full documentation for RegData Canada can be found here.
This bulk download includes data for both regulations and acts through 2021.