A website provided by the Connecticut General Assembly that provides bulk downloads of legislative data in multiple formats.

The National Conference of State Legislatures provides you with up-to-date, real-time information on law enforcement legislation that has been introduced in the 50 states and the District of Columbia. The database contains policing bills and executive orders introduced as of May 25, 2020, that are in response to recent events. Policing topics include oversight and data, training, standards and certification, use of force, technology, policing alternatives and collaboration, executive orders and other timely issues.

Each of the XML files in this dataset contains the pieces of South Australian statutory law that have been updated since the last time a file in this dataset was published to DataSA.

Files are published on a fortnightly basis, and contain instructions to assist users that wish to maintain hard electronic copies of the South Australian statute book.

In the US House and Senate, each piece of legislation is sponsored by a unique legislator. In addition, legislators can publicly express support for a piece of legislation by cosponsoring it. The network of sponsors and cosponsors provides information about the underlying social networks among legislators. I use a number of statistics to describe the cosponsorship network in order to show that it behaves much differently than other large social networks that have been recently studied. In particular, the cosponsorship network is much denser than other networks and aggregate features of the network appear to be influenced by institutional arrangements and strategic incentives. I also demonstrate that a weighted closeness centrality measure that I call ‘connectedness’ can be used to identify influential legislators.

Updated versions of this dataset will not be published on this website after 26/7/2019.To request an up-to-date version of this dataset, please email: OPCWeb@sa.gov.au\r \r Each of the files in this dataset provides a comprehensive set of the South Australian statutory law that was in operation on the date of the file's publication. Files are updated on a fortnightly basis.\r \r For information on which pieces of law have been updated in a given fortnight, please refer to the 'Legislative database update package' datasets which are also published to this site.

This is a series-level metadata record. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation. The most recent state legislative district boundaries collected by the Census Bureau are for the 2022 election year and were provided by state-level participants through the RDP.

A listing of State Representatives and State Senators. For more information see: http://www.cga.ct.gov/asp/menu/legdownload.asp

The Global Legislators Database (GLD) is a cross-national dataset on characteristics of 19,704 national parliamentarians in 97 of the 103 world's electoral democracies. The database includes individual legislator-level information on those who held office in each country's lower (or unicameral) chamber during a single legislative session as of 2015, 2016, or 2017. Variables included for each legislator are name, date of birth, gender, party affiliation, last occupation prior to holding elected office, and highest level of education completed. An article describing and validating the dataset is published in The British Journal of Political Science.

Users can track legislation related to education. Topics include: after school programs, alternative education, teacher issues, school choice, No Child Left Behind Act, drop out prevention, primary education, secondary education, and postsecondary education. Background The Education Bill Tracking Database is maintained by the National Conference of State Legislatures. This Database allows users to track education legislation for the 2008 to present legislative session. Topics include, but are not limited to: after school programs, alternative education, teacher issues, school choice, No Child Left Behind Act, drop out prevention, primary education, secondary education, and postsecondary education. User Functionality Users can search state education legislation by topic, keyword, year, primary sponsor, bill number, or bill status (i.e., active, inactive, adopted, vetoed). Users can view summaries of state legislation. Data Notes Legislation information is available for the 2008, 2009, and 2010 legislative sessions and is available on a state level. The website does not indicate when the database is updated.

The Council's voting records are public whenever it adopts a legislative act under the ordinary or a special legislative procedure. On average, the Council adopts 120 legislative acts per year.

This database contains not only the votes of the Council when adopting a legislative act but also information related to that act, such as:

• act type (regulation, directive, decision or position),
• act number (as published in the EU's Official Journal),
• document number (submitted to the Council for adoption),
• interinstitutional number,
• date of adoption,
• action by the Council (according to the steps of the legislative procedure),
• form of adoption (in a Council meeting or by written procedure),
• Council configuration,
• Council session,
• policy area,
• voting procedure (ordinary or special legislative procedure),
• voting rule (qualified majority or unanimity).

For more information please visit: http://www.consilium.europa.eu/en/general-secretariat/corporate-policies/transparency/open-data/

While the stability of legislation is one of the fundamental issues in political theory, comparative and quantitative analysis of the subject is in short supply in the political science literature. In this article we propose a novel measurement scheme for legislative stability, and develop a Legislative Stability Index (LSI) to this end. Our index empirically relies on the number and breadth of adopted legislative amendments within the same electoral cycle. The weighted LSIIt is based on a system of categories concerning the frequency with which laws are amended after their adoption. Our approach makes use of a new law-amendment edge-type network for a new Hungarian legislative database. Amendment-type connections are discovered by an automated dictionary-based text mining method. We tested the applicability of our index in various regression models. Results show that the legislative term of government, the length of the law and the way of adoption was were the most significant variables in explaining variation in the stability of legislation.

Updated versions of this dataset will not be published on this website after 26/7/2019.To request an up-to-date version of this dataset, please email: OPCWeb@sa.gov.au Each of the files in this dataset provides a comprehensive set of the South Australian statutory law that was in operation on the date of the file's publication. Files are updated on a fortnightly basis. For information on which pieces of law have been updated in a given fortnight, please refer to the 'Legislative database update package' datasets which are also published to this site.

This database, sourced from the Brazilian Chamber of Deputies, provides a comprehensive collection of voting records on legislative matters for all deputies. It covers the period from 2019 to 2022, corresponding to the 56th legislative term.

• The Chamber of Deputies is composed of 513 federal deputies.
• Federal deputies are affiliated with different political parties, representing different ideologies, proposals, and interests (approximately 30 parties in Brazil).
• Each party or coalition can appoint substitutes to occupy the position of a deputy in case of vacancy.
• The mandate of a federal deputy lasts four years.
• Ordinary Deliberative Sessions: These are common and frequent plenary sessions where deliberation and voting on legislative matters take place.
• Extraordinary Deliberative Sessions: These are convened to address urgent and relevant issues outside the regular period of ordinary sessions.
• Favorable Vote: The deputy expresses support for the matter under discussion, wishing for its approval.
• Contrary Vote: The deputy expresses opposition to the matter under discussion, seeking its rejection.
• Abstention: The deputy decides not to take a position either in favor or against the matter being voted on, remaining neutral.
• Obstruction: Parliamentarians use procedural resources to make it difficult or delay the voting on a matter.

Legislative data

A data repository on Congressional activity that extends the Database on Ideology, Money in Politics, and Elections (DIME) to cover detailed data on legislative voting, lawmaking, and political rhetoric. It includes data needed to replicate the analysis in "A Data-Driven Voter Guide for U.S. Elections: Adapting quantitative measures of the preferences and priorities of political elites to help voters learn about candidates".

The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the State legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by State participants, is assigned to each SLD within a State. In Connecticut, Hawaii, Illinois, Louisiana, Maine, Maryland, Massachusetts, New Jersey, Ohio, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the State or State equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated within county as a single SLD for purposes of data presentation. The boundaries of the 2010 Census State legislative districts were provided by State-level participants through the Redistricting Data Program (RDP) and reflect the districts used to elect members in the last election before 2010.

State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by lower-chamber legislative area for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation.The most recent SLD boundaries collected by the Census Bureau are for the 2022 election year and were provided by state-level participants through the RDP.Download: https://www2.census.gov/geo/tiger/TGRGDB24/tlgdb_2024_a_us_legislative.gdb.zip Layer: State_Legislative_Districts_LowerMetadata: https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19115/series_tl_2023_sldl.shp.iso.xml

Inventory of Council Legislative Bills

This web map of California legislative districts includes the geographically defined territories used for representation in the California State Assembly, California State Senate and the US House of Representatives from California. These three boundary layers are derived from the US Census Bureau's 2018 TIGER/Line database and are designed to overlay with the California Department of Education’s (CDE) education related GIS content.

The 80 California State Assembly Districts represent the geographically defined territories used for electing members to the lower (house) chamber of the California State Legislature. The current state assembly boundaries were determined by the California Citizens Redistricting Commission following the completion of the 2010 United States Census and will remain valid until 2020.

The 40 state senate districts represent the geographically defined territories used for electing members to the upper (senate) chamber of the California State Legislature. The current state senate boundaries were determined by the California Citizens Redistricting Commission following the completion of the 2010 United States Census and will remain valid until 2020.

The 53 congressional districts within the State of California represent the geographically defined territories used for electing members to the U.S. House of Representatives. The current U.S. Congressional boundaries in California were determined by the California Citizens Redistricting Commission following the completion of the 2010 United States Census and will remain valid until 2020

Abstract

In this supplementary material, I provide a comprehensive dataset of German legislation collected and analyzed for the purposes of my dissertation project. It includes the new measures of legislative significance developed in the dissertation, as well as several accompanying (independent or identification) variables based on the characteristics of individual legislative processes and administrative information. This supplementary material includes the data, an extensive codebook that outlines each individual variable, and the required R code to replicate the analyses performed in the dissertation and to reproduce and extend the data. The code is provided in an interoperable way that enables easy execution. Several preliminary datasets are made available along with the final dataset. See the attached description document for more details and a precise instruction.

Details

The final dataset “leg_sig.csv” covers all legislative processes considered in the German Bundestag from 1991 to 2021 – 6,602 submitted bills and 3,206 enacted laws. It is a special feature of this dataset that it connects bills to finalized laws and thus covers the complete legislative procedure. For each legislative process, extensive information was collected and transformed into 142 variables (154 variables in the reproduced version). Most of the data were collected from official sources of the German Bundestag, i.e., the DIP repository (Deutscher Bundestag / Bundesrat, n.d.) and the Bundestag’s official data handbook (Deutscher Bundestag, 2024). Data from the German Federal Statistical Office (Statistisches Bundesamt [Destatis], 2024a, 2024b, 2024c, 2024d) and the Federal Election Supervisor (Der Bundeswahlleiter, 2022) were added subsequently. Enacted laws were obtained from the private webpage OffeneGesetze.de (Wehrmeyer et al., n.d.).

Target group

This data and supplementary material may be of interest to: legislative studies scholars, students of German lawmaking and legislation, replication research testing lawmaking arguments with significant (instead of all) legislation, research on the “significance” of political action, public policy scholars aiming to quantify the content of laws, legal scholars aiming to measure the juridification, expansion or detail of law.

Related publication

Garwe, Christoph (2025). Conceptualizing and Measuring Legislative Significance – an Application to the German Bundestag. [Dissertation, Leibniz Universität Hannover]. Institutionelles Repositorium der Leibniz Universität Hannover. https://doi.org/10.15488/18305