In the fiscal year of 2019, 21.39 percent of active-duty enlisted women were of Hispanic origin. The total number of active duty military personnel in 2019 amounted to 1.3 million people.

Ethnicities in the United States The United States is known around the world for the diversity of its population. The Census recognizes six different racial and ethnic categories: White American, Native American and Alaska Native, Asian American, Black or African American, Native Hawaiian and Other Pacific Islander. People of Hispanic or Latino origin are classified as a racially diverse ethnicity.

The largest part of the population, about 61.3 percent, is composed of White Americans. The largest minority in the country are Hispanics with a share of 17.8 percent of the population, followed by Black or African Americans with 13.3 percent. Life in the U.S. and ethnicity However, life in the United States seems to be rather different depending on the race or ethnicity that you belong to. For instance: In 2019, native Hawaiians and other Pacific Islanders had the highest birth rate of 58 per 1,000 women, while the birth rae of white alone, non Hispanic women was 49 children per 1,000 women.

The Black population living in the United States has the highest poverty rate with of all Census races and ethnicities in the United States. About 19.5 percent of the Black population was living with an income lower than the 2020 poverty threshold. The Asian population has the smallest poverty rate in the United States, with about 8.1 percent living in poverty.

The median annual family income in the United States in 2020 earned by Black families was about 57,476 U.S. dollars, while the average family income earned by the Asian population was about 109,448 U.S. dollars. This is more than 25,000 U.S. dollars higher than the U.S. average family income, which was 84,008 U.S. dollars.

In 2023, some 3.6 percent of all people in the United States were covered through military health care (including TRICARE, VA or CHAMPVA). This statistic shows the percentage of U.S. Americans insured by military health care from 1990 to 2023.

The U.S. Army remains the largest branch of the American military, with 449,344 active duty personnel in 2023. While the Army leads in numbers, the newly established Space Force had just 8,879 active duty members, highlighting the evolving nature of modern warfare and the increasing importance of space-based capabilities. Confidence in military remains high Despite fluctuations in force size, public trust in the U.S. military remains strong. In 2024, 61 percent of Americans expressed a great deal or quite a lot of confidence in the armed forces, a slight increase from the previous year. While a slightly higher share of Republicans have shown more confidence in the military, trust in the institution remains high across party lines. Global commitments The United States continues to invest heavily in its military capabilities, with defense spending reaching 916.02 billion U.S. dollars in 2023. This substantial budget supports not only domestic defense needs but also enables the U.S. to respond to global crises, as evidenced by the over 40 billion euros in military aid provided to Ukraine following Russia's invasion. The high level of spending, which translates to about 2,220 U.S. dollars per capita.

The graph illustrates the number of personnel in each branch of the U.S. Military for the year 2025. The x-axis lists the military branches: Army, Navy, Marine Corps, Air Force, Space Force, and Coast Guard. The y-axis represents the number of personnel, ranging from 41,477 to 449,265. Among the branches, the Army has the highest number of personnel with 449,265, followed by the Navy with 333,794 and the Air Force with 317,675. The Marine Corps and Coast Guard have 168,628 and 41,477 personnel, respectively. The data is displayed in a bar graph format, effectively highlighting the distribution of military personnel across the different branches.

In 2024, 61 percent of survey respondents in the United States said they had either a great deal or quite a lot of confidence in the military. This is a slight increase from the previous year, when 640percent of respondents had confidence in the U.S. military. Additionally, this is an increase of six points from 1975 levels, when only 58 percent of Americans had confidence in the military.

The average for 2022 based on 17 countries was 1.16 percent. The highest value was in Colombia: 3.08 percent and the lowest value was in Haiti: 0.07 percent. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

Graph and download economic data for Real Gross Domestic Product: Military in the United States (USGOVFEDMILRGSP) from 1997 to 2024 about military, GSP, federal, government, real, industry, GDP, and USA.

This dataset provides values for MILITARY EXPENDITURE PERCENT OF GDP WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Military expenditure (% of GDP) in United States was reported at 3.3618 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Military expenditure (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The average for 2022 based on 9 countries was 4.83 percent. The highest value was in Colombia: 9.18 percent and the lowest value was in Argentina: 1.26 percent. The indicator is available from 1988 to 2022. Below is a chart for all countries where data are available.

In 2019, ** percent of adults in the United States thought that American military involvement in World War II was completely justified. On the other hand, only ***** percent of U.S. adults thought that American involvement in the Vietnam War was completely justified.

This dataset tracks annual american indian student percentage from 2022 to 2023 for Leadership Military Academy vs. California and Leadership Military Academy School District

This dataset tracks annual american indian student percentage from 2019 to 2023 for New Orleans Military & Maritime Academy School District vs. Louisiana

Graph and download economic data for Real National Defense Consumption Expenditures: Gross Output of General Government: Value Added: Compensation of General Government Employees: Military (B4080L1Q225SBEA) from Q2 1972 to Q2 2025 about military, defense, value added, output, compensation, gross, consumption expenditures, consumption, government, real, employment, GDP, rate, and USA.

According to a survey conducted in 2022, White Evangelicals and Muslims were the most likely religious groups in the United States to say that they had ever served on active duty in the U.S. Armed Forces, Military Reserves, or National Guard, at ** percent and ** percent respectively. In comparison, Jews were the least likely group to say that they had actively served in the military, at **** percent.

Graph and download economic data for Contributions to Percent Change in National Defense Consumption Expenditures and Gross Investment: Consumption expenditures: Gross output of general government: Value added: Compensation of general government employees: Military (B408RN2A224NBEA) from 1973 to 2024 about military, defense, value added, contributions, output, compensation, investment, gross, percent, consumption expenditures, consumption, government, employment, GDP, and USA.

Graph and download economic data for Contributions to percent change in real exports of services: Transfers under U.S. military agency sales contracts (DISCONTINUED) (B267RZ2Q224SBEA) from Q2 1967 to Q1 2014 about contracts, military, transfers, agency, contributions, exports, percent, sales, services, real, GDP, and USA.

Graph and download economic data for Contributions to Percent Change in National Defense Consumption Expenditures and Gross Investment: Consumption expenditures: Gross output of general government: Value added: Compensation of general government employees: Military (B408RN2Q224SBEA) from Q2 1972 to Q1 2025 about military, defense, value added, contributions, output, compensation, investment, gross, consumption expenditures, consumption, percent, government, employment, GDP, and USA.

This dataset tracks annual american indian student percentage from 2016 to 2023 for Washington Military Department School District vs. Washington

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 and the group quarters population 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, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..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..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.