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.

This dataset contains demographic information on every member of the US armed forces including gender, race, and rank.

Acknowlegement

Original Data

Foto von israel palacio auf Unsplash

In the United States, active duty Armed Forces personnel tended to be young, with the majority under the age of 30 years old. In 2023, there were 546,361 U.S. Defense Armed personnel aged 25 and under. In the age group 26 to 30, there were 275,756 Armed Forces personnel.

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.

In April 2024, 13.1% of people in non-officer roles in the armed forces were from ethnic minorities, compared with 7.9% in April 2012.

This comprehensive report chronicles the history of women in the military and as Veterans, profiles the characteristics of women Veterans in 2009, illustrates how women Veterans in 2009 utilized some of the major benefits and services offered by the Department of Veterans Affairs (VA), and discusses the future of women Veterans in relation to VA. The goal of this report is to gain an understanding of who our women Veterans are, how their military service affects their post-military lives, and how they can be better served based on these insights.

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, and Coast Guard. The y-axis represents the number of personnel, ranging from 41,689 to 452,823. Among the branches, the Army has the highest number of personnel with 452,823, followed by the Navy with 337,209 and the Air Force with 321,211. The Marine Corps and Coast Guard have 170,201 and 41,689 personnel, respectively. The data is displayed in a bar graph format, effectively highlighting the distribution of military personnel across the different branches.

Context

Veteran Employment Outcomes (VEO) are new experimental U.S. Census Bureau statistics on labor market outcomes for recently discharged Army veterans. These statistics are tabulated by military specialization, service characteristics, employer industry (if employed), and veteran demographics. They are generated by matching service member information with a national database of jobs, using state-of-the-art confidentiality protection mechanisms to protect the underlying data.

https://lehd.ces.census.gov/data/veo_experimental.html

Content

"The VEO are made possible through data sharing partnerships between the U.S. Army, State Labor Market Information offices, and the U.S. Census Bureau. VEO data are currently available at the state and national level."

"Veteran Employment Outcomes (VEO) are experimental tabulations developed by the Longitudinal Employer-Household Dynamics (LEHD) program in collaboration with the U.S. Army and state agencies. VEO data provides earnings and employment outcomes for Army veterans by rank and military occupation, as well as veteran and employer characteristics. VEO are currently released as a research data product in "experimental" form."

"The source of veteran information in the VEO is administrative record data from the Department of the Army, Office of Economic and Manpower Analysis. This personnel data contains fields on service member characteristics, such as service start and end dates, occupation, pay grade, characteristics at entry (e.g. education and test scores), and demographic characteristics (e.g. sex, race, and ethnicity). Once service member records are transferred to the Census Bureau, personally-identifying information is stripped and veterans are assigned a Protected Identification Key (PIK) that allows for them to be matched with their employment outcomes in Census Bureau jobs data."

Earnings, and Employment Concepts

Earnings "Earnings are total annual earnings for attached workers from all jobs, converted to 2018 dollars using the CPI-U. For the annual earnings tabulations, we impose two labor force attachment restrictions. First, we drop veterans who earn less than the annual equivalent of full-time work at the prevailing federal minimum wage. Additionally, we drop veterans with two or more quarters with no earnings in the reference year. These workers are likely to be either marginally attached to the labor force or employed in non-covered employment."

Employment

"While most VEO tabulations include earnings from all jobs, tabulations by employer characteristics only consider the veteran's main job for that year. Main jobs are defined as the job for which veterans had the highest earnings in the reference year. To attach employer characteristics to that job, we assign industry and geography from the highest earnings quarter with that employer in the year. For multi-establishment firms, we use LEHD unit-to-worker imputations to assign workers to establishments, and then assign industry and geography."

https://lehd.ces.census.gov/data/veo_experimental.html

Acknowledgements

United States Census Bureau

https://lehd.ces.census.gov/data/veo_experimental.html

Photo by Robert Linder on Unsplash

Inspiration

U.S. Veterans.

This scatter chart displays population (people) against military expenditure (% of GDP) in Europe. The data is about countries.

Introduction

Artificial Intelligence in Military Statistics: The integration of Artificial Intelligence (AI) into military operations marks a transformative shift in defense, leveraging machine learning, robotics, natural language processing, and computer vision to enhance decision-making, efficiency, and tactical advantages.

These technologies underpin a wide array of applications, from autonomous drones and cybersecurity defenses to predictive logistics and advanced training simulations. Fundamentally altering the landscape of military strategies and operations.

While offering significant benefits in operational precision and risk reduction, the deployment of AI in the military sphere also raises critical ethical and legal questions. Particularly concerning autonomous weaponry and the delegation of critical decisions to machines.

This evolution demands careful navigation of ethical frameworks, regulatory measures, and strategic considerations. Underscoring the pivotal role of AI in shaping future defense mechanisms and international security dynamics.

Demographic and military characteristics collected at phase 2 of the full consented cohort and those admitted for the five most common accidents and injuries.

Ipsos Global @dvisor wave 70 was conducted from May 22 - June 5, 2015. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, R: Small Business/Executive Decision Makers Demo; KI: Military Perils.

Comprehensive demographic dataset for Military Reservation, Buckeye, AZ, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Data on military service status by visible minority, religion, generation status, age and gender for the population aged 17 years and over in private households in Canada, provinces and territories, census metropolitan areas and census agglomerations with parts.

In 2023, there were almost *********** Black or African American veterans in the United States, representing around ** percent of the total veteran population.

This scatter chart displays population (people) against military expenditure (% of GDP) in Oceania. The data is about countries.

This data table provides a brief demographic profile of Veterans who separated from the military at two points in time: 2011 and 2017. It contains distributions on age, sex, race/ethnicity, and military component

• = p < 0.05** = p < 0.01Prevalence (% ± SE) of reported use of number and type dietary supplements (DS) at least once per week or more often over the six months prior to the survey by demographic and lifestyle characteristics among Active Duty U.S. Coast Guard Personnel1.