33 datasets found
  1. U

    United States US: Armed Forces Personnel: % of Total Labour Force

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States US: Armed Forces Personnel: % of Total Labour Force [Dataset]. https://www.ceicdata.com/en/united-states/defense-and-official-development-assistance/us-armed-forces-personnel--of-total-labour-force
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 1, 2005 - Sep 1, 2016
    Area covered
    United States
    Variables measured
    Operating Statement
    Description

    United States US: Armed Forces Personnel: % of Total Labour Force data was reported at 0.828 % in 2016. This records a decrease from the previous number of 0.838 % for 2015. United States US: Armed Forces Personnel: % of Total Labour Force data is updated yearly, averaging 0.995 % from Sep 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 1.704 % in 1990 and a record low of 0.828 % in 2016. United States US: Armed Forces Personnel: % of Total Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Defense and Official Development Assistance. Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. Labor force comprises all people who meet the International Labour Organization's definition of the economically active population.; ; International Institute for Strategic Studies, The Military Balance.; Weighted average; Data for some countries are based on partial or uncertain data or rough estimates.

  2. U

    United States US: Armed Forces Personnel: Total

    • ceicdata.com
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    CEICdata.com (2021). United States US: Armed Forces Personnel: Total [Dataset]. https://www.ceicdata.com/en/united-states/defense-and-official-development-assistance/us-armed-forces-personnel-total
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 1, 2005 - Sep 1, 2016
    Area covered
    United States
    Variables measured
    Operating Statement
    Description

    United States US: Armed Forces Personnel: Total data was reported at 1,348,400.000 Person in 2016. This records an increase from the previous number of 1,347,300.000 Person for 2015. United States US: Armed Forces Personnel: Total data is updated yearly, averaging 1,546,000.000 Person from Sep 1985 (Median) to 2016, with 29 observations. The data reached an all-time high of 2,240,000.000 Person in 1989 and a record low of 1,347,300.000 Person in 2015. United States US: Armed Forces Personnel: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Defense and Official Development Assistance. Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces.; ; International Institute for Strategic Studies, The Military Balance.; Sum; Data for some countries are based on partial or uncertain data or rough estimates.

  3. t

    VETERAN STATUS - DP02_MAN_P - Dataset - CKAN

    • portal.tad3.org
    Updated Nov 18, 2024
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    (2024). VETERAN STATUS - DP02_MAN_P - Dataset - CKAN [Dataset]. https://portal.tad3.org/dataset/veteran-status-dp02_man_p
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    Dataset updated
    Nov 18, 2024
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES VETERAN STATUS - DP02 Universe - Civilian population 18 Year and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Veteran status is used to identify people with active duty military service and service in the military Reserves and the National Guard. Veterans are men and women who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty, not counting the 4-6 months for initial training or yearly summer camps.

  4. Civilian Unemployment Rate for US and California

    • catalog.data.gov
    • data.ca.gov
    • +1more
    Updated Jul 23, 2025
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    California Employment Development Department (2025). Civilian Unemployment Rate for US and California [Dataset]. https://catalog.data.gov/dataset/civilian-unemployment-rate-for-us-and-california
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    Dataset updated
    Jul 23, 2025
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Area covered
    California, United States
    Description

    This dataset contains unemployment rates for the U.S. (1948 - Present) and California (1976 - Present). The unemployment rate represents the number of unemployed as a percentage of the labor force. Labor force data are restricted to people 16 years of age and older, who currently reside in 1 of the 50 states or the District of Columbia, who do not reside in institutions (e.g., penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces. This rate is also defined as the U-3 measure of labor underutilization.

  5. U

    United States US: Military Expenditure: % of GDP

    • ceicdata.com
    Updated Feb 1, 2001
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    CEICdata.com (2001). United States US: Military Expenditure: % of GDP [Dataset]. https://www.ceicdata.com/en/united-states/defense-and-official-development-assistance/us-military-expenditure--of-gdp
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    Dataset updated
    Feb 1, 2001
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 1, 2005 - Sep 1, 2016
    Area covered
    United States
    Variables measured
    Operating Statement
    Description

    United States US: Military Expenditure: % of GDP data was reported at 3.149 % in 2017. This records a decrease from the previous number of 3.222 % for 2016. United States US: Military Expenditure: % of GDP data is updated yearly, averaging 4.864 % from Sep 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 9.063 % in 1967 and a record low of 2.908 % in 1999. United States US: Military Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Defense and Official Development Assistance. Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.); ; Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.; Weighted average; Data for some countries are based on partial or uncertain data or rough estimates.

  6. s

    Early Indicators of Later Work Levels Disease and Death (EI) - Union Army...

    • scicrunch.org
    • neuinfo.org
    • +2more
    Updated Aug 4, 2024
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    (2024). Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets [Dataset]. http://identifiers.org/RRID:SCR_008921?q=&i=rrid
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    Dataset updated
    Aug 4, 2024
    Description

    A dataset to advance the study of life-cycle interactions of biomedical and socioeconomic factors in the aging process. The EI project has assembled a variety of large datasets covering the life histories of approximately 39,616 white male volunteers (drawn from a random sample of 331 companies) who served in the Union Army (UA), and of about 6,000 African-American veterans from 51 randomly selected United States Colored Troops companies (USCT). Their military records were linked to pension and medical records that detailed the soldiers������?? health status and socioeconomic and family characteristics. Each soldier was searched for in the US decennial census for the years in which they were most likely to be found alive (1850, 1860, 1880, 1900, 1910). In addition, a sample consisting of 70,000 men examined for service in the Union Army between September 1864 and April 1865 has been assembled and linked only to census records. These records will be useful for life-cycle comparisons of those accepted and rejected for service. Military Data: The military service and wartime medical histories of the UA and USCT men were collected from the Union Army and United States Colored Troops military service records, carded medical records, and other wartime documents. Pension Data: Wherever possible, the UA and USCT samples have been linked to pension records, including surgeon''''s certificates. About 70% of men in the Union Army sample have a pension. These records provide the bulk of the socioeconomic and demographic information on these men from the late 1800s through the early 1900s, including family structure and employment information. In addition, the surgeon''''s certificates provide rich medical histories, with an average of 5 examinations per linked recruit for the UA, and about 2.5 exams per USCT recruit. Census Data: Both early and late-age familial and socioeconomic information is collected from the manuscript schedules of the federal censuses of 1850, 1860, 1870 (incomplete), 1880, 1900, and 1910. Data Availability: All of the datasets (Military Union Army; linked Census; Surgeon''''s Certificates; Examination Records, and supporting ecological and environmental variables) are publicly available from ICPSR. In addition, copies on CD-ROM may be obtained from the CPE, which also maintains an interactive Internet Data Archive and Documentation Library, which can be accessed on the Project Website. * Dates of Study: 1850-1910 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** Union Army: 35,747 ** Colored Troops: 6,187 ** Examination Sample: 70,800 ICPSR Link: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06836

  7. e

    Combat, Cohesion and Gender - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 28, 2023
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    (2023). Combat, Cohesion and Gender - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/7afa0c33-7786-53a1-9c12-fc8087d94cc1
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    Dataset updated
    Oct 28, 2023
    Description

    The data collection involved three methods a) Archival research: defence policy, military doctrine, memoirs, academic commentary b) Interviews: 39 Male soldiers and 17 female soldiers were formally interviewed as part of this research project. c) Fieldwork observation: 40 days were spend observing training in France, Germany, UK, Canada and the US. During the course of this fieldwork, 46 informants were contacted whose comments were recorded in field notes and used in the research. Due to the confidentiality assured to interviewees and informants and the fact that some of the material discussed in the interviews/fieldwork was classified it has been impossible to share the fieldnotes/interviews. However, a record of the key points and data has been recorded in the EOA report for this grant and is disseminated through the publications associated with this grant.Can women be infantry soldiers? Combat is one of the most extreme forms of human activities and throughout human history it has been almost exclusively a masculine domain. This research addresses this important and potentially historic issue of the increasingly active participation of women in war. In the past, women's exclusion from the infantry has typically been justified by reference to female physiology and their presumed effects on cohesion among the male soldiers. Females were seen to threaten the combat performance of male troops. Physical barriers still remain for women but with the professionalisation of the armed forces and the recent pressures of operations in Afghanistan, female participation in the army and on operations has been increasingly accepted and even normalised. Canada and Denmark now allow women in the infantry and, while the UK and US still maintain their bans on females in the infantry, female British and American soldiers have increasingly served on the front line in combat situations. Through documentary, fieldwork and interview research with the armies of Canada, Denmark, Germany, France, the UK and the US, this research seeks to explore the possibilities and limits of women's participation in the infantry. a) Archival research: Documentary analysis of infantry doctrine, operational reports and memoirs by male and especially female soldiers proved very useful in situating and widening the research. b) Interviews: 17 females and 39 males were interviewed as part of this research, either as individuals or in some cases in groups. The data derived from these interviews was rich and compelling. Female soldiers were particularly forthcoming in describing some of their sometimes disturbing experiences. Precisely because of the sensitivity of much of this material, the data has not been able to be made available for general release. The most important material has and will appear in publications however. c) Fieldwork observation Observation of fieldwork in France, the US, UK and Canada took place during the ESRC project. This provided an essential understanding of the practice of infantry work and current operations, essential to analysing the possibility of female integration. It also provided many additional informants whose revealing comments were recorded in field notes.

  8. Current Employment Statistics (CES)

    • data.ca.gov
    • s.cnmilf.com
    • +1more
    csv
    Updated Sep 19, 2025
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    California Employment Development Department (2025). Current Employment Statistics (CES) [Dataset]. https://data.ca.gov/dataset/current-employment-statistics-ces-2
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    csv(70705544), csv(70602263), csv(72314038)Available download formats
    Dataset updated
    Sep 19, 2025
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Authors
    California Employment Development Department
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Current Employment Statistics (CES) program is a Federal-State cooperative effort in which monthly surveys are conducted to provide estimates of employment, hours, and earnings based on payroll records of business establishments. The CES survey is based on approximately 119,000 businesses and government agencies representing approximately 629,000 individual worksites throughout the United States.

    CES data reflect the number of nonfarm, payroll jobs. It includes the total number of persons on establishment payrolls, employed full- or part-time, who received pay (whether they worked or not) for any part of the pay period that includes the 12th day of the month. Temporary and intermittent employees are included, as are any employees who are on paid sick leave or on paid holiday. Persons on the payroll of more than one establishment are counted in each establishment. CES data excludes proprietors, self-employed, unpaid family or volunteer workers, farm workers, and household workers. Government employment covers only civilian employees; it excludes uniformed members of the armed services.

    The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS.

  9. Munitions and Explosives of Concern

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated Jul 11, 2025
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    NOAA Office for Coastal Management (Point of Contact) (2025). Munitions and Explosives of Concern [Dataset]. https://catalog.data.gov/dataset/munitions-and-explosives-of-concern1
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    Dataset updated
    Jul 11, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    Munitions and explosives of concern (MEC) have been deposited on the seabed of the United States outer continental shelf since World War I. The bulk of these munitions have originated from the U.S. Armed Forces while conducting military training exercises, war-time placement, and disposal and dumping activities. Since 1972 ocean disposal of munitions and other pollutants has been banned by the Marine Protection, Research, and Sanctuaries Act. Federal and state efforts to mitigate, map, monitor, and sometimes remove these munitions are ongoing. The location of these munitions is generally unknown, and their existence remains a hazard to people and the natural resources within this geography. The term MEC defines a collection of munitions including; a) unexploded ordnance, b) discarded military munitions, and c) munitions constituents that are present in high enough concentrations to pose an explosive hazard. Additional information on the location of MECs can be found in the data and references listed below: Formerly Used Defense Sites Danger Zones and Restricted Areas U.S. Disposal of Chemical Weapons in the Ocean: Background and Issues for Congress, CRS Report for Congress, January 3, 2007 Defense Environmental Programs Annual Report to Congress for Fiscal Year 2009. Chapter 10. Sea Disposal of Military Munitions

  10. US Veteran Suicides

    • kaggle.com
    Updated Nov 14, 2017
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    Aleksey Bilogur (2017). US Veteran Suicides [Dataset]. https://www.kaggle.com/datasets/residentmario/us-veteran-suicides
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 14, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aleksey Bilogur
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    https://i.imgur.com/Vrs6apv.png" alt="">

    Context

    There is a well-documented phenomenon of increased suicide rates among United States military veterans. One recent analysis, published in 2016, found the suicide rate amongst veterans to be around 20 per day. The widespread nature of the problem has resulted in efforts by and pressure on the United States military services to combat and address mental health issues in and after service in the country's armed forces.

    In 2013 News21 published a sequence of reports on the phenomenon, aggregating and using data provided by individual states to typify the nationwide pattern. This dataset is the underlying data used in that report, as collected by the News21 team.

    Content

    The data consists of six files, one for each year between 2005 and 2011. Each year's worth of data includes the general population of each US state, a count of suicides, a count of state veterans, and a count of veteran suicides.

    Acknowledgements

    This data was originally published by News21. It has been converted from an XLS to a CSV format for publication on Kaggle. The original data, visualizations, and stories can be found at the source.

    Inspiration

    What is the geospatial pattern of veterans in the United States? How much more vulnerable is the average veteran to suicide than the average citizen? Is the problem increasing or decreasing over time?

  11. USA SPENDING EDUCATION CH33 B028 POST-9/11 VETERANS EDUCATIONAL ASSISTANCE...

    • catalog.data.gov
    • data.va.gov
    • +1more
    Updated Nov 23, 2021
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    Department of Veterans Affairs (2021). USA SPENDING EDUCATION CH33 B028 POST-9/11 VETERANS EDUCATIONAL ASSISTANCE MAR2019 [Dataset]. https://catalog.data.gov/dataset/usa-spending-education-ch33-b028-post-9-11-veterans-educational-assistance-mar2019
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    Dataset updated
    Nov 23, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    VBA EDUCATION BENEFITS PROGRAM to help servicepersons adjust to civilian life after separation from military service, assist in the recruitment and retention of highly qualified personnel in the active and reserve components in the Armed Forces by providing education benefits, and to provide educational opportunities to the dependents of certain service members and veterans. Individuals who entered active duty after September 10, 2001 may be eligible for the Post-9/11 GI Bill. Individuals can use the Post-9/11 GI Bill after serving 90 days on active duty (excluding entry level and skill training). Only periods of active duty under title 10 will be used to establish eligibility for the Post 9/11 GI Bill. A high school diploma or equivalency certificate is always required for eligibility. Individuals who are eligible for the Montgomery GI Bill – Active Duty (chapter 30), the Montgomery GI Bill – Selected Reserve (chapter 1606), or the Reserve Educational Assistance Program (REAP) will have to make an irrevocable election to relinquish eligibility under one of those benefit programs to establish eligibility under the Post-9/11 GI Bill. The dependent children of a person who died in the line of duty while serving as a member of the Armed Forces may be eligible to use benefits under the Fry Scholarship provision of the Post-9/11 GI Bill. The spouse and/or child(ren) of a veteran or service member may be eligible for the Post 9/11 GI Bill if the veteran or service member transfers entitlement to those dependents. Eligibility to transfer entitlement to dependents is determined by the Department of Defense. This is not a complete list of eligibility requirements. For more information on the latest changes to the Post-9/11 GI Bill go to the VA web-site.

  12. 2022 Economic Surveys: AB00MYCSA01D | Annual Business Survey: Statistics for...

    • data.census.gov
    • test.data.census.gov
    Updated Dec 19, 2024
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    ECN (2024). 2022 Economic Surveys: AB00MYCSA01D | Annual Business Survey: Statistics for Employer Firms by Veteran Status for the U.S.: 2022 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2022.AB00MYCSA01D?n=71
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    Dataset updated
    Dec 19, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2022
    Area covered
    United States
    Description

    Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Veteran Status for the U.S.: 2022.Table ID.ABSCS2022.AB00MYCSA01D.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2024-12-19.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Veteran Status (defined as having served in any branch of the U.S. Armed Forces) Veteran Equally veteran/nonveteran Nonveteran Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Office of Notaries (NAICS 541120)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2022 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2022 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0351).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2022/.API Information.Annual Business Survey (ABS) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual c...

  13. 2017 Economic Surveys: AB00MYCSA01D | Annual Business Survey: Statistics for...

    • data.census.gov
    Updated May 19, 2020
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    ECN (2020). 2017 Economic Surveys: AB00MYCSA01D | Annual Business Survey: Statistics for Employer Firms by Veteran Status for the U.S.: 2017 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2017.AB00MYCSA01D?n=522293
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    Dataset updated
    May 19, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2017
    Area covered
    United States
    Description

    Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Veteran Status for the U.S.: 2017.Table ID.ABSCS2017.AB00MYCSA01D.Survey/Program.Economic Surveys.Year.2017.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2020-05-19.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Veteran Status (defined as having served in any branch of the U.S. Armed Forces) Veteran Equally veteran/nonveteran Nonveteran Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2017 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2017 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY20-008).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2017/.API Information.Annual Business Survey (ABS) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in hig...

  14. K

    US Military Bases

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Jun 27, 2011
    + more versions
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    US Bureau of Transportation Statistics (BTS) (2011). US Military Bases [Dataset]. https://koordinates.com/layer/22828-us-military-bases/
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    mapinfo tab, mapinfo mif, geopackage / sqlite, kml, pdf, dwg, shapefile, geodatabase, csvAvailable download formats
    Dataset updated
    Jun 27, 2011
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    United States,
    Description

    The dataset depicts the authoritative boundaries of the most commonly known Department of Defense (DoD) sites, installations, ranges, and training areas in the United States and Territories. These sites encompass land which is federally owned or otherwise managed. This dataset was created from source data provided by the four Military Service Component headquarters and was compiled by the Defense Installation Spatial Data Infrastructure (DISDI) Program within the Office of the Deputy Under Secretary of Defense for Installations and Environment, Business Enterprise Integration Directorate. Sites were selected from the 2010 Base Structure Report (BSR), a summary of the DoD Real Property Inventory. This list does not necessarily represent a comprehensive collection of all Department of Defense facilities, and only those in the fifty United States and US Territories were considered for inclusion. For inventory purposes, installations are comprised of sites, where a site is defined as a specific geographic location of federally owned or managed land and is assigned to military installation. DoD installations are commonly referred to as a base, camp, post, station, yard, center, homeport facility for any ship, or other activity under the jurisdiction, custody, control of the DoD.

    This layer is sourced from maps.bts.dot.gov.

  15. Iowa Employment Status for the Population 16 Years and Over (ACS 5-Year...

    • mydata.iowa.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +2more
    Updated Jun 7, 2024
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    U.S. Census Bureau, American Community Survey (2024). Iowa Employment Status for the Population 16 Years and Over (ACS 5-Year Estimates) [Dataset]. https://mydata.iowa.gov/Workforce/Iowa-Employment-Status-for-the-Population-16-Years/3xir-nkm6
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    application/rdfxml, application/rssxml, csv, tsv, xml, kmz, kml, application/geo+jsonAvailable download formats
    Dataset updated
    Jun 7, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, American Community Survey
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Area covered
    Iowa
    Description

    This dataset contains Iowa population estimate for individuals 16 years and older by employment status for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B23025.

    Employment status includes the following: Total, Labor Force, Civilian Labor Force, Civilian Employed Labor Force, Civilian Unemployed Labor Force, Armed Forces and Not in Labor Force.

  16. f

    Prevalence (% ± SE) of reported use of any dietary supplement (DS), sports...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 4, 2023
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    Krista G. Austin; Lori Lyn Price; Susan M. McGraw; Harris R. Lieberman (2023). Prevalence (% ± SE) of reported use of any dietary supplement (DS), sports drink, sports bar/gel, and meal replacement beverage among U.S. Coast Guard Active Duty Personnel. [Dataset]. http://doi.org/10.1371/journal.pone.0133006.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Krista G. Austin; Lori Lyn Price; Susan M. McGraw; Harris R. Lieberman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description
    • = P < 0.05** = P < 0.01.1 Coast Guard occupation is the self-reported area of assignment at the time of the survey: Operational (includes jobs such as fireman, damage controlman, maritime law enforcement specialist); Support (includes jobs such as health service technician, food service specialist, electronics technician); Officer (supervisory positions)2 BMI was calculated from self-reported height and weight.3 Aerobic exercise included percent of individuals who reported nonstop running, cycling, stair climbing, swimming and road marching either within their Coast Guard unit or on their own time each week for the duration ranges: lowest (0–60 minutes), low (61–314 minutes), moderate (315–464 minutes); high (465+ minutes)4 Strength training included percent of individuals who reported lifting weights or other forms of strength condition exercise within their Coast Guard unit or on their own time each week.Prevalence (% ± SE) of reported use of any dietary supplement (DS), sports drink, sports bar/gel, and meal replacement beverage among U.S. Coast Guard Active Duty Personnel.
  17. 2021 Economic Surveys: AB00MYCSA01D | Annual Business Survey: Statistics for...

    • data.census.gov
    Updated Oct 26, 2023
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    ECN (2023). 2021 Economic Surveys: AB00MYCSA01D | Annual Business Survey: Statistics for Employer Firms by Veteran Status for the U.S.: 2021 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2021.AB00MYCSA01D?q=2021+annual+business+survey&g=040XX00US27
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    Dataset updated
    Oct 26, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2021
    Area covered
    United States
    Description

    Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Veteran Status for the U.S.: 2021.Table ID.ABSCS2021.AB00MYCSA01D.Survey/Program.Economic Surveys.Year.2021.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2023-10-26.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Veteran Status (defined as having served in any branch of the U.S. Armed Forces) Veteran Equally veteran/nonveteran Nonveteran Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2021 BERD sample, or have high receipts, payroll, or employment. Total sample size is 300,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2017 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY23-0479).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2021/.API Information.Annual Business Survey (ABS) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in hi...

  18. T

    USA SPENDING EDUCATION CH32 B120 POST-VIETNAM ERA VETERANS' EDUCATIONAL...

    • datahub.va.gov
    • data.va.gov
    • +1more
    application/rdfxml +5
    Updated Sep 16, 2019
    + more versions
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    (2019). USA SPENDING EDUCATION CH32 B120 POST-VIETNAM ERA VETERANS' EDUCATIONAL ASSISTANCE FY2019 [Dataset]. https://www.datahub.va.gov/dataset/USA-SPENDING-EDUCATION-CH32-B120-POST-VIETNAM-ERA-/4ezr-vay8
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    json, application/rssxml, csv, application/rdfxml, xml, tsvAvailable download formats
    Dataset updated
    Sep 16, 2019
    Area covered
    Vietnam
    Description

    VBA EDUCATION BENEFITS PROGRAM to provide educational assistance to persons entering the Armed Forces after December 31, 1976, and before July 1, 1985; to assist persons in obtaining an education they might otherwise not be able to afford; and to promote and assist the all volunteer military program of the United States by attracting qualified persons to serve in the Armed Forces. The participant must have entered on active duty on or after January 1, 1977, and before July 1, 1985, and either served on active duty for more than 180 continuous days receiving an other than dishonorable discharge, or have been discharged after January, 1, 1977 because of a service-connected disability. Also eligible are participants who serve for more than 180 days and who continue on active duty and have completed their first period of obligated service (or 6 years of active duty, whichever comes first). Participants must also have satisfactorily contributed to the program. (Satisfactory contribution consists of monthly deduction of $25 to $100 from military pay, up to a maximum of $2,700, for deposit in a special training fund.) Participants may make lump-sum contributions. No individuals on active duty in the Armed Forces may initially begin contributing to this program after March 31, 1987.

  19. f

    Atraumatic Rhegmatogenous Retinal Detachment: Epidemiology and Association...

    • tandf.figshare.com
    pdf
    Updated Aug 29, 2025
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    Ian Lee; Weidong Gu; Marcus Colyer; Matthew Debiec; James Karesh; Grant Justin; Mariia Viswanathan (2025). Atraumatic Rhegmatogenous Retinal Detachment: Epidemiology and Association with Refractive Error in U.S. Armed Forces Service Members [Dataset]. http://doi.org/10.6084/m9.figshare.28264170.v1
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    pdfAvailable download formats
    Dataset updated
    Aug 29, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    Ian Lee; Weidong Gu; Marcus Colyer; Matthew Debiec; James Karesh; Grant Justin; Mariia Viswanathan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    To evaluate the incidence, refractive error (RE) association, and distribution of atraumatic rhegmatogenous retinal detachment (RRD) in U.S. military service members (SMs). This study used data from the Military Health System (MHS) M2 database to identify active U.S. military and National Guard SMs diagnosed with RRD from 2017 to 2022. The RE in diopters (D) was manually extracted from available medical charts for 518 eyes. The annual incidence rate of RRD was calculated overall and evaluated in terms of age, gender, and RE. A multivariate Poisson regression model was used to estimate the relative risk (RR) for RRD with RE. From 2017 to 2022, 1,537 SMs were diagnosed with RRD and 1,243,189 were diagnosed with RE. One thousand two hundred seventy-five SMs had both diagnoses: RRD and RE. The overall incidence rate of RRD over the 6-year study was 16.3 per 100,000 people (16.4 and 15.9 for males and females, respectively). In all study groups, the incidence of RRD increased with age. SMs with RE had an overall 25-fold increased risk for RRD compared to SMs without RE. RE was present in 83.0% of cases of RRD. Myopia accounted for 93.3% of cases for eyes with detailed refractive data. The incidence of RRD in U.S. SMs is comparable to other studies and is similar among male and female SMs. RE is present in most cases of RRD in SMs, with the most common type being low to moderate amounts of myopia.

  20. USA Department of Defense Lands

    • hub.arcgis.com
    • geodata.colorado.gov
    Updated Feb 10, 2018
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    Esri (2018). USA Department of Defense Lands [Dataset]. https://hub.arcgis.com/maps/esri::usa-department-of-defense-lands
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    Dataset updated
    Feb 10, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The U.S. Defense Department oversees the USA"s armed forces and manages over 30 million acres of land. With over 2.8 million service members and civilian employees the department is the world"s largest employer.Dataset SummaryPhenomenon Mapped: Lands managed by the U.S. Department of DefenseGeographic Extent: United States, Guam, Puerto RicoData Coordinate System: WGS 1984Visible Scale: The data is visible at all scalesSource: DOD Military Installations Ranges and Training Areas layer. Publication Date: May 2025This layer is a view of the USA Federal Lands layer. A filter has been used on this layer to eliminate non-Department of Defense lands. For more information on layers for other agencies see the USA Federal Lands layer.What can you do with this layer?This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "department of defense" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box expand Portal if necessary then select Living Atlas. Type "department of defense" in the search box, browse to the layer then click OK.In both ArcGIS Online and Pro you can change the layer's symbology and view its attribute table. You can filter the layer to show subsets of the data using the filter button in Online or a definition query in Pro.The data can be exported to a file geodatabase, a shape file or other format and downloaded using the Export Data button on the top right of this webpage.This layer can be used as an analytic input in both Online and Pro through the Perform Analysis window Online or as an input to a geoprocessing tool, model, or Python script in Pro.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

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CEICdata.com (2025). United States US: Armed Forces Personnel: % of Total Labour Force [Dataset]. https://www.ceicdata.com/en/united-states/defense-and-official-development-assistance/us-armed-forces-personnel--of-total-labour-force

United States US: Armed Forces Personnel: % of Total Labour Force

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Dataset updated
Feb 15, 2025
Dataset provided by
CEICdata.com
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Sep 1, 2005 - Sep 1, 2016
Area covered
United States
Variables measured
Operating Statement
Description

United States US: Armed Forces Personnel: % of Total Labour Force data was reported at 0.828 % in 2016. This records a decrease from the previous number of 0.838 % for 2015. United States US: Armed Forces Personnel: % of Total Labour Force data is updated yearly, averaging 0.995 % from Sep 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 1.704 % in 1990 and a record low of 0.828 % in 2016. United States US: Armed Forces Personnel: % of Total Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Defense and Official Development Assistance. Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. Labor force comprises all people who meet the International Labour Organization's definition of the economically active population.; ; International Institute for Strategic Studies, The Military Balance.; Weighted average; Data for some countries are based on partial or uncertain data or rough estimates.

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