There were 449,344 active duty U.S. Army members in 2023. This amount represents a slight decrease in comparison to the number recorded in the previous year. Overall, there were 1.27 million active duty U.S. Department of Defense members, including officers and enlisted personnel in 2023.

Throughout the 19th century, the share of military personnel employed by the United States government was below 0.2 percent of the total population in most years. There were noticeable spikes in enlistments and conscriptions during the American Civil War (1861-65), the First World War (1917-18*), and Second World War (1941-45*), as well as smaller increases during the Mexican-American War (1946-48) and the Spanish-American War (1898), but figures were generally much lower than the post-WWII era.

Following the Second World War, the United States abandoned many of its isolationist positions as it sought to become the world's leading superpower. This involved stationing millions of troops in overseas bases during the Cold War, in strategically important locations such as West Germany, Japan, and Taiwan. Additionally, involvement in conflicts such as the Korean War (1950-1953) and Vietnam War (1964-1973*) kept military employment high, usually between 1-2 percent until the 1970s. Figures remained just below the one percent mark until the 1990s, when the end of the Cold War and the growing influence of technology in conventional warfare saw a decrease in demand for many traditional combat roles. Despite U.S. involvement in a number of overseas conflicts in the 21st century, military personnel represented less than 0.5 percent of the total population in most years between 2000 and 2016.

The number of U.S. Department of Defense Reserve personnel has remained relatively steady since 1995. In 2023, there were a total of 761,044 U.S. Department of Defense Selected Reserve members. In 2000, there were 865,252 DoD Selected Reserve members.

This data contains the length of walls used at various locations in Baghdad during the US combat operations from 2003-2008. The walls were used for two main purposes- (i) protection against blast and (ii) enclosing neighborhoods to curtail inter tribal conflict. This data therefore separates the walls used for these proposes. The total length of blast and neighborhood wall was extracted using Fiji ImageJ software (Schindelin et al. 2012) from an infographic of concrete walls in Baghdad developed by Izady (2020) for the Gulf 2000 Project at Columbia University, a repository of infographics and maps of demographic and socio-political indicators of the Gulf Region

In 2023, there were 1.27 million active duty U.S. Department of Defense members, including officers and enlisted personnel. This represents a slight decrease in comparison to the previous year. Further, by 2034, it is expected that the number of military retirees in the country will reach 2.4 million.

This dataset displays the number of active duty military personnel injuries and deaths during Operation Enduring Freedom and Operation Iraqi Freedom. This data is current as of April 26, 2008. It displays statistics regarding hostile, and non hostile deaths and injuries. These figures are broken down by state. * WIA (act) = Actual Wounded in Action (WIA) with home of record for the specified state H=Hostile; NH=Non-hostile * WIA (est) = Additional estimated WIA for the state based on reported losses (not all WIA records have home of record detail)

• Context I am greatly inspired with this dataset containing geo spatial details for each zip code and contains the total wages for each area.This gave me opportunity to create a data visualisation in Tableau using HexBin chart which is added as a Kernel to this dataset.

• Content

  • About the data: 81,831 rows of data. All 41,891 active zipcodes + 634 decommisioned zipcodes from the recent past. All 80673 active Primary(41885), Acceptable(13988), and Not Acceptable(24800) placenames. Some additonal placenames for decommisioned codes. 29,971 Standard, 9465 PO BOX, 2437 Unique, and 649 Military codes.

• 50 States + 361 AA Military

• Americas 38 AE Military

• Europe 164 AP Military

• Pacific 1 AS American Samoa 290 DC Washinton DC 4 FM Federated States Micronesia 13 GU Guam 2 MH Marshall Islands 3 MP Northern Mariana Islands 176 PR Puerto Rico 2 PW Palau 16 VI Virgin Islands

• Name Type Description

• Zipcode Text 5 digit Zipcode or military postal code(FPO/APO)

• ZipCodeType Text Standard, PO BOX Only, Unique, Military(implies APO or FPO)

• City Text USPS offical city name(s)

• State Text USPS offical state, territory, or quasi-state (AA, AE, AP) abbreviation code

• LocationType Text Primary, Acceptable,Not Acceptable

• Lat Double Decimal Latitude, if available

• Long Double Decimal Longitude, if available

• Location Text Standard Display (eg Phoenix, AZ ; Pago Pago, AS ; Melbourne, AU )

• Decommissioned Text If Primary location, Yes implies historical Zipcode, No Implies current Zipcode; If not Primary, Yes implies Historical Placename

• TaxReturnsFiled Long Integer Number of Individual Tax Returns Filed in 2008

• EstimatedPopulation Long Integer Tax returns filed + Married filing jointly + Dependents

• TotalWages Long Integer Total of Wages Salaries and Tips

  • Source: http://federalgovernmentzipcodes.us/

  • Current zipcodes, placenames, zipcode type(Standard, PO, Unique, Military), placename type (Primary, Acceptable, Not Acceptable)

• : USPS Military place names (base or ship name)

• : MPSA 2008 Election Ballot information Tax returns filed, estimated population, total wages: IRS 2008 Latitude and Longitude; National Weather Service supplemented by Google Earth and Maps and occasionally other sources Decommissioned zip codes, Our old database--usually quality sources, but not verifiable.

• Acknowledgements

  Other Sources of zipcode information:

• Placenames (Cities, towns, geographic features) can be found at US Geological Survey GNIS Dataset The IRS has additional data fields for 2008 and is reviewing their publication procedures for later years.

  see http://www.irs.gov/taxstats/indtaxstats/article/0,,id=96947,00.html

• The Census publishes data, but they use Zipcode Tabulation Areas (ZCTAs) which

• 1) have changed areas between the 2000 census and the 2010 census

• 2) do not map well to USPS zipcodes well. If needed http://www.census.gov/geo/ZCTA/zcta.html Social Security recipients by zipcode http://www.ssa.gov/policy/docs/statcomps/oasdi_zip/ For economic researchers and those who want tons of background on data sources by zipcode, University of Missouri OSEDA project

  • Free Zipcode Database (8.7 MB) Updated 1/22/2012 All Locations (Multiple locations for some zipcodes)

  Inspiration I am hoping that people in the right government agencies/authorities would be able to utilize this data to focus on

  community developments where it needs immediate attention.

In the fiscal year of 2024, the United States Navy estimates there will be a total year-end strength of ******* personnel. In the same year, they expect to have ** Admirals and ** Vice Admirals serving in the U.S. Navy. The Navy The United States Navy is the maritime branch of the U.S. Armed Forces, and is the largest navy in the world. In 2021, the Navy had around ******* personnel, and a budget of ***** billion U.S. dollars in the same year. Additionally, this branch of the Navy boasts a large fleet of deployable battle force ships, totaling *** in 2023. Anchors aweigh The number of active duty naval personnel has been on the decline in the U.S. since 1995, though the number of personnel has remained relatively steady since 2008. Among Navy officers in the U.S., there have historically been significantly more male officers than female officers.

This dataset displays the number of active duty personnel and their location, by country. Included in these figures are the numbers for Army, Navy, Marine, and Air Force branches of the United States Military. Note: this data includes rounded figures for personnel involved in Operation Iraqi Freedom (OIF)and Operation Enduring Freedom (OEF). This data was collected from the department of Defense directly at: http://siadapp.dmdc.osd.mil/personnel/MILITARY/history/hst0706.pdf .

This data set illustrates the ranking of military size by countries across the globe. The value of -1 means that no data was available. http://en.wikipedia.org/wiki/List_of_countries_by_size_of_armed_forces August 27, 2007

The map data is derived from the United Nations Environment Programme (UNEP) for the years ranging from 1989 to 1999. The map shows the concentration of the total military personnel by country measured in number of people. According to UNEP, military personnel refers to "active duty military personnel, including paramilitary forces if those forces resemble regular units in their organization, equipment, training, or mission." Online resource: http://geodata.grid.unep.ch URL original source: http://www.worldbank.org/data/

This poll, fielded December 6-9, 2007, is a part of a continuing series of monthly polls that solicit public opinion on various political and social issues. A national sample of 1,136 adults was surveyed, including an oversample of African Americans, for a total of 205 African Americans respondents. Respondents were asked whether they approved of George W. Bush and the way he was handling the presidency and other issues such as the economy and terrorism, whether they approved of the way Congress was handling its job, and which political party they trusted to handle issues such as the war in Iraq. Opinions were also solicited on the 2008 presidential candidates. Respondents were asked who they would vote for if the 2008 Democratic and Republican primaries were being held that day, what was the single most important issue in their choice for president in the 2008 presidential election, and whether they were more likely to vote for a candidate based on qualities such as religion, race, gender, or political interests. A series of questions asked how closely respondents were following the 2008 presidential race and how likely they were to vote in the 2008 presidential primary in their state, which candidate they thought was most likely to be elected president, and how much candidates' religious beliefs, endorsements, spouses, and professional abilities weighed in deciding who to support for president. Respondents were also asked whether Oprah Winfrey's endorsement of Barack Obama made them more likely to support him. Several questions asked about the war in Iraq, including whether the Iraq War was worth fighting, whether United States military forces should remain in Iraq until civil order is restored there, and whether the war in Iraq has contributed to the long-term security of the United States. Additional topics included abortion, whether the respondents considered themselves feminists, whether respondents had a good, basic understanding of the Mormon religion, respondents' own financial situation, and the state of the national economy. Demographic information includes sex, age, race, education level, household income, religious preference, frequency of religious attendance, marital status, whether respondents own or rent their home, type of residential area (e.g., urban or rural), voter registration status, political party affiliation, political philosophy, and the presence of children under 18 in the household.

These files contain topographic lidar data collected by the Compact Hydrographic Airborne Rapid Total Survey (CHARTS) system along the coast of North Carolina near the town of Duck. CHARTS integrates topographic and bathymetric lidar sensors, a digital camera and a hyperspectral scanner on a single remote sensing platform for use in coastal mapping and charting activities. Data coverage generally extends along the coastline from the waterline inland 500 meters (topography) and offshore 1,000 meters or to laser extinction (bathymetry), however, no bathymetry was collected for this data set. Native lidar data is not generally in a format accessible to most Geographical Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. Horizontal positions, provided in decimal degrees of latitude and longitude, are referenced to the North American Datum of 1983 (NAD83). Vertical positions are referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID03 model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88). The 3-D position data are sub-divided into a series of ASCII file products, with each covering approximately 5 kilometers of shoreline. The ASCII columns are Longitude, Latitude, UTM Zone, Easting, Northing, Elevation (orthometric), Elevation (ellipsoid), Date, Time, and Intensity. ASCII data were transformed to LAS format in ellipsoid heights.

This data set illustrates the number of active troops by active service, reserve force, paramilitary, total troops, and active troops per thousand people across the globe. http://en.wikipedia.org/wiki/List_of_countries_by_number_of_active_troops August 27, 2007

TIAS 08-905 cover memo. Visit https://dataone.org/datasets/sha256%3A49af83a18eb18956e2bf8c47d29a5be81d4a43b33052a996335a64a9c6a67be7 for complete metadata about this dataset.

The data contained in these files contain hydrographic and topographic data collected by the CHARTS system along the Lake Michigan coast of Illinois from September 17 - September 26, 2008. These files contain topographic and bathymetric lidar data collected by the Compact Hydrographic Airborne Rapid Total Survey (CHARTS) system. CHARTS integrates topographic and bathymetric lidar sensors, a digital camera, and a hyperspectral scanner on a single remote sensing platform for use in coastal mapping and charting activities. Data coverage generally extends along the coastline from the waterline inland 500 meters (topography) and offshore 1,000 meters or to laser extinction (bathymetry). The topographic lidar sensor has a pulse repetition rate of 9 kHz at 1064 nm (near-infrared wavelength). The bathymetric lidar sensor has a pulse repetition rate of 1 kHz at 532 nm (green wavelength). Native lidar data is not generally in a format accessible to most Geographical Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. The data were collected and provided in decimal degrees of latitude and longitude, referenced to the North American Datum of 1983 (NAD83). Vertical positions were referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID03 model was used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88). For data storage and provisioning purposes, the NOAA Coastal Services Center converted the data from NAVD88 heights to ellipsoid heights using GEOID03. Additionally, the data were unclassified when received; NOAA CSC classified the topo data as 1 and the bathy data as 11.

In 2023, the United States spent around 916.02 billion U.S. dollars on its military. U.S. military spending has been increasing in current dollar terms since 2016. Spending increased dramatically in 2022 after the Russian invasion of Ukraine. After the first year of the war, the U.S. had contributed more than 40 billion euros worth of military aid to Ukraine. What military spending entails Military spending in the United States is the part of the national outlays of the Department of Defense. While the department has over two trillion dollars in budgetary resources, its outlays - money actually paid out - are significantly lower. This budget is designated for the four branches of the United States military, and is used for everything from salaries, trainings, development of new military technologies, and new aircraft and weaponry. The high cost of U.S. spending The United States is well known for spending more on its military than any other country. In 2023, it was estimated that per capita defense spending amounted to 2,220 U.S. dollars. While this figure is extremely high, many Americans may find it worthwhile, as a majority believe the United States to be the number one military power in the world.

KAV 8559 cover memo. Visit https://dataone.org/datasets/sha256%3A4c2ab42a717dd5ab3df55308d38ee8185145d02205b29023b185f4cc1a6c9533 for complete metadata about this dataset.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2018-2022 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Logical coverage edits applying a rules-based assignment of Medicaid, Medicare and military health coverage were added as of 2009 -- please see https://www.census.gov/library/working-papers/2010/demo/coverage_edits_final.html for more details. Select geographies of 2008 data comparable to the 2009 and later tables are available at https://www.census.gov/data/tables/time-series/acs/1-year-re-run-health-insurance.html. The health insurance coverage category names were modified in 2010. See https://www.census.gov/topics/health/health-insurance/about/glossary.html#par_textimage_18 for a list of the insurance type definitions..Beginning in 2017, selected variable categories were updated, including age-categories, income-to-poverty ratio (IPR) categories, and the age universe for certain employment and education variables. See user note entitled "Health Insurance Table Updates" for further details..The 2018-2022 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

In 2022, there were 327,934 active duty Navy members in the United States Department of Defense. This represents a slight decrease in comparison to the amount recorded in the previous year. In comparison, there were 449,344 active duty U.S. Army members that same year.