The purpose of this data collection was to record information about the cases, litigants, amicus participants, and the opinions decided by the Supreme Court under the tenure of Chief Justices Earl Warren (1953-1969) and Warren Burger (1969-1986) and others through 1993. The approach of this study was to proceed deductively, rather than seek to infer values of a particular group of justices. This method allows the investigation of value conflicts that are not litigated, as well as the value conflicts represented in Supreme Court opinions. Opinions are coded on the basis of their literal content, and the data are organized around the opinions. There are eight types of opinions. Within each type, up to six topics are coded, and within each topic, up to two values are coded. There are three integrated parts to this study, each of which can be linked to the other files by specific variables. Part 1, Supreme Court Database, contains basic case attributes from UNITED STATES SUPREME COURT JUDICIAL DATABASE, 1953-1993 TERMS (ICPSR 9422) and the opinions given in the cases. Part 2, Briefs, gives information on the filers and co-filers for cases in which amicus curie briefs were filed. Part 3, Groups, lists the litigants' names. The distinct aspects of the Court's decisions are covered by six types of variables in Part 1: (1) identification variables including case citation, docket number, unit of analysis, and number of records per unit of analysis, (2) background variables offering information on origin of case, source of case, reason for granting cert, parties to the case, direction of the lower court's decision, and manner in which the Court takes jurisdiction, (3) chronological variables covering date of term of court, chief justice, and natural court, (4) substantive variables including multiple legal provisions, authority for decision, issue, issue areas, and direction of decision, (5) outcome variables supplying information on form of decision, disposition of case, winning party, declaration of unconstitutionality, and multiple memorandum decisions, and (6) voting and opinion variables pertaining to the vote in the case and to the direction of the individual justices' votes.

This project was undertaken to establish a computerized skeletal database composed of recent forensic cases to represent the present ethnic diversity and demographic structure of the United States population. The intent was to accumulate a forensic skeletal sample large and diverse enough to reflect different socioeconomic groups of the general population from different geographical regions of the country in order to enable researchers to revise the standards being used for forensic skeletal identification. The database is composed of eight data files, comprising four categories. The primary "biographical" or "identification" files (Part 1, Demographic Data, and Part 2, Geographic and Death Data) comprise the first category of information and pertain to the positive identification of each of the 1,514 data records in the database. Information in Part 1 includes sex, ethnic group affiliation, birth date, age at death, height (living and cadaver), and weight (living and cadaver). Variables in Part 2 pertain to the nature of the remains, means and sources of identification, city and state/country born, occupation, date missing/last seen, date of discovery, date of death, time since death, cause of death, manner of death, deposit/exposure of body, area found, city, county, and state/country found, handedness, and blood type. The Medical History File (Part 3) represents the second category of information and contains data on the documented medical history of the individual. Variables in Part 3 include general comments on medical history as well as comments on congenital malformations, dental notes, bone lesions, perimortem trauma, and other comments. The third category consists of an inventory file (Part 4, Skeletal Inventory Data) in which data pertaining to the specific contents of the database are maintained. This includes the inventory of skeletal material by element and side (left and right), indicating the condition of the bone as either partial or complete. The variables in Part 4 provide a skeletal inventory of the cranium, mandible, dentition, and postcranium elements and identify the element as complete, fragmentary, or absent. If absent, four categories record why it is missing. The last part of the database is composed of three skeletal data files, covering quantitative observations of age-related changes in the skeleton (Part 5), cranial measurements (Part 6), and postcranial measurements (Part 7). Variables in Part 5 provide assessments of epiphyseal closure and cranial suture closure (left and right), rib end changes (left and right), Todd Pubic Symphysis, Suchey-Brooks Pubic Symphysis, McKern & Steward--Phases I, II, and III, Gilbert & McKern--Phases I, II, and III, auricular surface, and dorsal pubic pitting (all for left and right). Variables in Part 6 include cranial measurements (length, breadth, height) and mandibular measurements (height, thickness, diameter, breadth, length, and angle) of various skeletal elements. Part 7 provides postcranial measurements (length, diameter, breadth, circumference, and left and right, where appropriate) of the clavicle, scapula, humerus, radius, ulna, scarum, innominate, femur, tibia, fibula, and calcaneus. A small file of noted problems for a few cases is also included (Part 8).

The Religious Characteristics of States Dataset (RCS) was created to fulfill the unmet need for a dataset on the religious dimensions of countries of the world, with the state-year as the unit of observation. The third phase, Chief Executives' Religions, provides data on religious affiliations of countries' 'chief executives,' i.e., their presidents, prime ministers, or other heads of state/government exercising largely real, not ceremonial, political power. The dataset, like others in the RCS data project, is designed expressly for easy merger with datasets of the Correlates of War and Polity projects, datasets by the United Nations, the Religion And State datasets by Jonathan Fox, and the ARDA national profiles.

This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for counties and equivalent entities in United States of America. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.Processors and tools are using this data. Enhancements Add ISO 3166-3 codes. Simplify geometries to provide better performance across the services. Add administrative hierarchy.

This study uses historical records from 36 archives in the United States to analyze 8,437 enslaved people's sale and/or appraisal prices from 1797 to 1865.

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

The United States data center market size reached approximately USD 18.50 Billion in 2024. The market is projected to grow at a CAGR of 9.50% between 2025 and 2034, reaching a value of around USD 45.85 Billion by 2034.

United States NCUA: State: Assets: Inv: Available for Sale Securities data was reported at 77,025,879.047 USD th in Jun 2018. This records an increase from the previous number of 76,809,014.751 USD th for Mar 2018. United States NCUA: State: Assets: Inv: Available for Sale Securities data is updated quarterly, averaging 67,701,708.704 USD th from Mar 2005 (Median) to Jun 2018, with 54 observations. The data reached an all-time high of 82,045,603.213 USD th in Mar 2017 and a record low of 22,008,881.162 USD th in Mar 2007. United States NCUA: State: Assets: Inv: Available for Sale Securities data remains active status in CEIC and is reported by National Credit Union Administration. The data is categorized under Global Database’s United States – Table US.KB046: Financial Data: National Credit Union Administration: State Institutions.

United-States-Minor-Outlying-Islands Whois Database, discover comprehensive ownership details, registration dates, and more for domains registered in United-States-Minor-Outlying-Islands with Whois Data Center.

The Geoecology database is a compilation of environmental data for the period 1941 to 1981. The Geoecology database contains selected data on terrain and soils, water resources, forestry, vegetation, agriculture, land use, wildlife, air quality, climate, natural areas, and endangered species. Data on selected human population characteristics are also included to complement the environmental files. Data represent the conterminous United States at the county level. These historical data are provided as a source of 1970s baseline environmental conditions for the United States.

Chad Imports from United States was US$13.93 Million during 1995, according to the United Nations COMTRADE database on international trade. Chad Imports from United States - data, historical chart and statistics - was last updated on July of 2025.

The COVID Tracking Project collects information from 50 US states, the District of Columbia, and 5 other US territories to provide the most comprehensive testing data we can collect for the novel coronavirus, SARS-CoV-2. We attempt to include positive and negative results, pending tests, and total people tested for each state or district currently reporting that data.

Testing is a crucial part of any public health response, and sharing test data is essential to understanding this outbreak. The CDC is currently not publishing complete testing data, so we’re doing our best to collect it from each state and provide it to the public. The information is patchy and inconsistent, so we’re being transparent about what we find and how we handle it—the spreadsheet includes our live comments about changing data and how we’re working with incomplete information.

From here, you can also learn about our methodology, see who makes this, and find out what information states provide and how we handle it.

New Caledonia Exports to United States was US$41.72 Million during 2015, according to the United Nations COMTRADE database on international trade. New Caledonia Exports to United States - data, historical chart and statistics - was last updated on July of 2025.

United States Pending Sales: All Residential: Illinois data was reported at 14,820.000 Unit in Jul 2020. This records an increase from the previous number of 13,680.000 Unit for Jun 2020. United States Pending Sales: All Residential: Illinois data is updated monthly, averaging 8,871.000 Unit from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 14,820.000 Unit in Jul 2020 and a record low of 4,818.000 Unit in Feb 2012. United States Pending Sales: All Residential: Illinois data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB045: Pending Home Sales: by States.

United States Motor Vehicle Registration: Total data was reported at 283.401 Unit mn in 2022. This records an increase from the previous number of 282.355 Unit mn for 2021. United States Motor Vehicle Registration: Total data is updated yearly, averaging 93.950 Unit mn from Dec 1910 (Median) to 2022, with 113 observations. The data reached an all-time high of 283.401 Unit mn in 2022 and a record low of 0.469 Unit mn in 1910. United States Motor Vehicle Registration: Total data remains active status in CEIC and is reported by Federal Highway Administration. The data is categorized under Global Database’s United States – Table US.TA011: Motor Vehicle Registration. Data starting 2011 includes information on motorcycle registrations.

1999-2024. National Association of Attorneys General (NAAG). Policy—Tobacco Settlement Payments. The National Association of Attorneys General (NAAG) provides Tobacco Settlement Revenue data for 46 states participating in the Master Settlement Agreement (MSA) with the four largest tobacco companies in the United States. Data are reported on an annual basis. Four states (Florida, Minnesota, Mississippi, and Texas) provide the STATE System their Tobacco Settlement Revenue data independently.

This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States and each of the 50 states. Data are based on 100% of birth certificates filed in all 50 states. All the teen birth rates in this dashboard reflect the latest revisions to Census populations (i.e., the intercensal populations) and thus provide a consistent series of accurate rates for the past 25 years. The denominators of the teen birth rates for 1991–1999 have been revised to incorporate the results of the 2000 Census. The denominators of the teen birth rates for 2001–2009 have revised to incorporate the results of the 2010 Census.

The United States data center power market reached around USD 13.20 Billion in 2024. The market is estimated to grow at a CAGR of 6.70% during the forecast period of 2025-2034 to attain nearly USD 25.25 Billion by 2034.

Mexico Exports of miscellaneous edible preparations to United States was US$1.49 Billion during 2024, according to the United Nations COMTRADE database on international trade. Mexico Exports of miscellaneous edible preparations to United States - data, historical chart and statistics - was last updated on June of 2025.

United States New York: Expenditure: Direct: Interest on Debt data was reported at 14,701,604.000 USD th in 2016. This records an increase from the previous number of 14,343,756.000 USD th for 2015. United States New York: Expenditure: Direct: Interest on Debt data is updated yearly, averaging 5,375,238.000 USD th from Mar 1957 (Median) to 2016, with 55 observations. The data reached an all-time high of 14,872,025.000 USD th in 2013 and a record low of 278,098.000 USD th in 1957. United States New York: Expenditure: Direct: Interest on Debt data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.F041: Revenue & Expenditure: State and Local Government: New York.