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.

The United States military has a long history of ethnic minorities serving in its ranks, with black Americans having served as far back as the Revolutionary War. The Vietnam War took place during a period of changing race relations in the United States, with the Civil Rights Movement reaching its peak in the mid-1960s, and this too was reflected in the military. The Vietnam War was the first major conflict in which black and white troops were not formally segregated, however, discrimination did still occur with black soldiers reporting being subject to overt racism, being unjustly punished, and having fewer promotion opportunities than their white counterparts.

In the early phases of the war, black casualty rates were much higher than for other races and ethnicities, with some reports showing that black soldiers accounted for 25 percent of the casualties recorded in 1965. This declined substantially as the war progressed, however, the proportion of black service personnel among those fallen during the war was still disproportionately high, as black personnel comprised only 11 percent of the military during this era. A smaller number of other ethnic minorities were killed during the war, comprising two percent of the total.

Demographic characteristics of Canada's military and veteran population: Canada, provinces and territories, census metropolitan areas and census agglomerations with partsFrequency: OccasionalTable: 98-10-0142-01Release date: 2023-11-15Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part, Census agglomeration partUniverse: Population aged 17 and over in private households, 2021 Census — 25% Sample dataVariable List: Visible minority (15), Religion (25), Generation status (4), Age (10B), Gender (3), Statistics (3), Military service status (4A)Footnotes: 1 Religion Religion refers to the person's self-identification as having a connection or affiliation with any religious denomination, group, body, or other religiously defined community or system of belief. Religion is not limited to formal membership in a religious organization or group. For infants or children, religion refers to the specific religious group or denomination in which they are being raised, if any. Persons without a religious connection or affiliation can self-identify as atheist, agnostic or humanist, or can provide another applicable response. 2 Generation status Generation status refers to whether or not the person or the person's parents were born in Canada. 3 Age 'Age' refers to the age of a person (or subject) of interest at last birthday (or relative to a specified, well-defined reference date). 4 Gender Gender refers to an individual's personal and social identity as a man, woman or non-binary person (a person who is not exclusively a man or a woman). Gender includes the following concepts: gender identity, which refers to the gender that a person feels internally and individually; gender expression, which refers to the way a person presents their gender, regardless of their gender identity, through body language, aesthetic choices or accessories (e.g., clothes, hairstyle and makeup), which may have traditionally been associated with a specific gender. A person's gender may differ from their sex at birth, and from what is indicated on their current identification or legal documents such as their birth certificate, passport or driver's licence. A person's gender may change over time. Some people may not identify with a specific gender. 5 Given that the non-binary population is small, data aggregation to a two-category gender variable is sometimes necessary to protect the confidentiality of responses provided. In these cases, individuals in the category “non-binary persons” are distributed into the other two gender categories and are denoted by the “+” symbol. 6 Visible minority Visible minority refers to whether a person is a visible minority or not, as defined by the Employment Equity Act. The Employment Equity Act defines visible minorities as persons other than Aboriginal peoples who are non-Caucasian in race or non-white in colour." The visible minority population consists mainly of the following groups: South Asian Chinese Black Filipino Arab Latin American Southeast Asian West Asian Korean and Japanese." 7 Military service status Military service status refers to whether or not the person is currently serving or has previously served in the Canadian military. Military service status is asked of all Canadians aged 17 and older. For the purposes of the 2021 Census, Canadian military service includes service with the Regular Force or Primary Reserve Force as an Officer or Non-Commissioned Member. It does not include service with the Cadets, Cadet Organizations Administration and Training Service (COATS) instructors or the Canadian Rangers. 8 For more information on religion variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Religion Reference Guide, Census of Population, 2021. 9 For more information on generation status variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Place of Birth, Generation Status, Citizenship and Immigration Reference Guide, Census of Population, 2021. 10 Visible minority" refers to whether a person is a visible minority or not as defined by the Employment Equity Act. The Employment Equity Act defines visible minorities as "persons other than Aboriginal peoples who are non-Caucasian in race or non-white in colour." The visible minority population consists mainly of the following groups: South Asian Chinese Black Filipino Arab Latin American Southeast Asian West Asian Korean and Japanese. In 2021 Census analytical and communications products the term "visible minority" has been replaced by the terms "racialized population" or "racialized groups" reflecting the increased use of these terms in the public sphere."11 For more information on visible minority and population group variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Visible Minority and Population Group Reference Guide, Census of Population, 2021. 12 For more information on the military service status variable, including data quality and comparability with other sources of data, please refer to the Canadian Military Experience Reference Guide, Census of Population, 2021.

In the American Civil War, Union and Confederate officers were paid very similarly until they reached the rank of Lieutenant, however Union allowances were generally higher than those of the Confederacy, which means that their wages would have been higher. The Union also paid their more highly ranked officers better than the Confederacy, with Generals receiving much more. For example, a Union colonel would receive the cash value of six human and three horse rations per day, amounting to an extra 78 dollars. It is also important to note that the Confederacy did have generous bonuses for their generals, such as time served, and whether they took an active role on the battlefield. For example, General Robert E. Lee would have officially received 301 dollars per month, but with bonuses he would have received 604 dollars. Payment methods At the outbreak of the American Civil War, the Confederate Army adopted the wage structure of the US Army before the civil war, whereas the Union created a new wage structure as their financial reserves allowed them to pay their soldiers more than the Confederacy. In both armies, soldiers were supposed to get paid every two months, but in reality, Union soldiers often went up to six or eight months without being paid, and for Confederate troops this could be even longer. The graph also shows only the wage paid to the soldiers and does not include officer allowances. Black men in the union army At the outbreak of the war, the question of whether to allow freed black men to serve in the army divided the Union leadership, until mid-1862 where the number of white men enlisting decreased. When the Union opened their ranks to black men, enlistment was initially slow, until prominent black figures such as Frederick Douglas encouraged it as he believed it would help them obtain full citizenship. Over the course of the war roughly two hundred thousand black men served in the Union Army and Navy, and many women (incl. Harriet Tubman) served as nurses and spies/scouts. Although they were allowed to serve, black soldiers were still discriminated against. While white privates were paid thirteen dollars per month, black soldiers were officially paid three dollars less, and black soldiers also had an additional three dollars automatically deducted from each wage to pay for their clothing. This discrepancy was resolved in 1864, and black men were paid the same as their white counterparts from this point onwards.

Demographic characteristics of Canada's military and veteran population: Canada, provinces and territories, census metropolitan areas and census agglomerations with partsFrequency: OccasionalTable: 98-10-0142-01Release date: 2023-11-15Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part, Census agglomeration partUniverse: Population aged 17 and over in private households, 2021 Census — 25% Sample dataVariable List: Visible minority (15), Religion (25), Generation status (4), Age (10B), Gender (3), Statistics (3), Military service status (4A)Footnotes: 1 Religion Religion refers to the person's self-identification as having a connection or affiliation with any religious denomination, group, body, or other religiously defined community or system of belief. Religion is not limited to formal membership in a religious organization or group. For infants or children, religion refers to the specific religious group or denomination in which they are being raised, if any. Persons without a religious connection or affiliation can self-identify as atheist, agnostic or humanist, or can provide another applicable response. 2 Generation status Generation status refers to whether or not the person or the person's parents were born in Canada. 3 Age 'Age' refers to the age of a person (or subject) of interest at last birthday (or relative to a specified, well-defined reference date). 4 Gender Gender refers to an individual's personal and social identity as a man, woman or non-binary person (a person who is not exclusively a man or a woman). Gender includes the following concepts: gender identity, which refers to the gender that a person feels internally and individually; gender expression, which refers to the way a person presents their gender, regardless of their gender identity, through body language, aesthetic choices or accessories (e.g., clothes, hairstyle and makeup), which may have traditionally been associated with a specific gender. A person's gender may differ from their sex at birth, and from what is indicated on their current identification or legal documents such as their birth certificate, passport or driver's licence. A person's gender may change over time. Some people may not identify with a specific gender. 5 Given that the non-binary population is small, data aggregation to a two-category gender variable is sometimes necessary to protect the confidentiality of responses provided. In these cases, individuals in the category “non-binary persons” are distributed into the other two gender categories and are denoted by the “+” symbol. 6 Visible minority Visible minority refers to whether a person is a visible minority or not, as defined by the Employment Equity Act. The Employment Equity Act defines visible minorities as persons other than Aboriginal peoples who are non-Caucasian in race or non-white in colour." The visible minority population consists mainly of the following groups: South Asian Chinese Black Filipino Arab Latin American Southeast Asian West Asian Korean and Japanese." 7 Military service status Military service status refers to whether or not the person is currently serving or has previously served in the Canadian military. Military service status is asked of all Canadians aged 17 and older. For the purposes of the 2021 Census, Canadian military service includes service with the Regular Force or Primary Reserve Force as an Officer or Non-Commissioned Member. It does not include service with the Cadets, Cadet Organizations Administration and Training Service (COATS) instructors or the Canadian Rangers. 8 For more information on religion variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Religion Reference Guide, Census of Population, 2021. 9 For more information on generation status variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Place of Birth, Generation Status, Citizenship and Immigration Reference Guide, Census of Population, 2021. 10 For more information on the military service status variable, including data quality and comparability with other sources of data, please refer to the Canadian Military Experience Reference Guide, Census of Population, 2021. 11 Visible minority" refers to whether a person is a visible minority or not as defined by the Employment Equity Act. The Employment Equity Act defines visible minorities as "persons other than Aboriginal peoples who are non-Caucasian in race or non-white in colour." The visible minority population consists mainly of the following groups: South Asian Chinese Black Filipino Arab Latin American Southeast Asian West Asian Korean and Japanese. In 2021 Census analytical and communications products the term "visible minority" has been replaced by the terms "racialized population" or "racialized groups"12 For more information on visible minority and population group variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Visible Minority and Population Group Reference Guide, Census of Population, 2021. 13 In 2021 Census analytical and communications products, the term visible minority" has been replaced by the terms "racialized population" or "racialized groups" reflecting the increased use of these terms in the public sphere." 14 The abbreviation n.i.e." means "not included elsewhere." This category includes persons who provided responses that are classified as a visible minority but that cannot be classified with a specific visible minority group. Such responses include for example "Guyanese Pacific Islander Polynesian Tibetan" and "West Indian."" 15 In 2021 Census analytical and communications products, this category is referred to as the rest of the population.""

This study contains an assortment of data files relating to the electoral and demographic history of New York State. Part 1, Mortality Statistics of the Seventh Census, 1850: Place of Birth for United States Cities, contains counts of persons by place of birth for United States cities as reported in the 1850 United States Census. Place of birth is coded for states and for selected foreign countries, and percentages are also included. Part 2, Selected Tables of New York State and United States Censuses of 1835-1875: New York State Counties, contains data from the New York State Censuses of 1835, 1845, 1855, 1865, and 1875, and includes data from the United States Censuses of 1840 and 1850. The bulk of the tables concern church and synagogue membership. The tables for 1835 and 1845 include counts of persons by sex, legal male voters, alien males, not taxed Colored, taxed Colored, and taxed Colored can vote. The 1840 tables include total population, employment by industry, and military pensioners. The 1855 tables provide counts of persons by place of birth. Part 3, New York State Negro Suffrage Referenda Returns, 1846, 1860, and 1869, by Election District, contains returns for 28 election districts on the issue of Negro suffrage, with information on number of votes for, against, and total votes. Also provided are percentages of votes for and against Negro suffrage. Part 4, New York State Liquor License Referendum Returns, 1846, Town Level, contains returns from the Liquor License Referendum held in May 1846. For each town the file provides total number of votes cast, votes for, votes against, and percentage of votes for and against. The source of the data are New York State Assembly Documents, 70 Session, 1847, Document 40. Part 5, New York State Censuses of 1845, 1855, 1865, and 1875: Counts of Churches and Church Membership by Denomination, contains counts of churches, total value of church property, church seating capacity, usual number of persons attending church, and number of church members from the New York State Censuses of 1845, 1855, 1865, and 1875. Counts are by denomination at the state summary level. Part 6, New York State Election Returns, Censuses, and Religious Censuses: Merged Tables, 1830-1875, Town Level, presents town-level data for the elections of 1830, 1834, 1838, 1840, and 1842. The file also includes various summary statistics from the New York State Censuses of 1835, 1845, 1855, and 1865 with limited data from the 1840 United States Census. The data for 1835 and 1845 include male eligible voters, aliens not naturalized, non-white persons not taxed, and non-white persons taxed. The data for 1840 include population, employment by industry, and military service pensioners. The data for 1845 cover total population and number of males, place of birth, and churches. The data for 1855 and 1865 provide counts of persons by place of birth, number of dwellings, total value of dwellings, counts of persons by race and sex, number of voters by native and foreign born, and number of families. The data for 1865 also include counts of Colored not taxed and data for churches and synagogues such as number, value, seating capacity, and attendance. The data for 1875 include population, native and foreign born, counts of persons by race, by place of birth, by native, by naturalized citizens, and by alien males aged 21 and over. Part 7, New York State Election Returns, Censuses, and Religious Censuses: Merged Tables, 1844-1865, Town Level, contains town-level data for the state of New York for the elections of 1844 and 1860. It also contains data for 1850 such as counts of persons by sex and race. Data for 1855 includes counts of churches, value of churches and real estate, seating capacity, and church membership. Data for 1860 include date church was founded and source of that information. Also provided are total population counts for the years 1790, 1800, 1814, 1820, 1825, 1830, 1835, 1845, 1856, 1850, 1855, 1860, and 1865. (ICPSR 3/16/2015)

This data collection constitutes a portion of the historical data collected by the project "Early Indicators of Later Work Levels, Disease, and Death." With the goal of constructing datasets suitable for longitudinal analyses of factors affecting the aging process, the project is collecting military, medical, and socioeconomical data on a sample of white males mustered into the Union Army during the Civil War. The project seeks to examine the influence of environmental and host factors prior to recruitment on the health performance and survival of recruits during military service, to identify and show relationships between socioeconomic and biomedical conditions (including nutritional status) of veterans at early ages and mortality rates from diseases at middle and late ages, and to study the effects of health and pensions on labor force participation rates of veterans at ages 65 and over. This installment of the collection, Version M-5, supersedes any previous version of these data. Collected in this version are data from military service, pension, and medical records of veterans who were originally mustered into the Union Army in California, Connecticut, Delaware, District of Columbia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New Mexico, New York, Ohio, Pennsylvania, Vermont, West Virginia, and Wisconsin regiments. Also included are data from a 20-company pilot sample and information on recruits whose pension records were stored at the Veterans Administration (VA) Archives in Washington, DC, but had not been collected previously. Data include date and place of birth, place of residence, marital status, number of children, occupation, wealth and income, muster place and date, length of service, battles fought, medical experiences (e.g., illness, wounds, and hospital stays), health status, pension information, and date, place, and cause of death. Additional variables provide the place and date of birth of the recruits' wives, children, and parents. The data are organized into three sections according to state of enlistment. Section 1 (Parts 1, 2, 3, and 4) contains data from New England, Kansas, Missouri, Minnesota, Iowa, New Jersey, Indiana, Wisconsin, California, New Mexico, and the 20-company pilot sample. Section 2 (Parts 5, 6, 7, and 8) contains data from New York, Michigan, Washington, DC, Delaware, Kentucky, Maryland, and West Virginia, along with pensions data from the VA Archives. Section 3 (Parts 9, 10, 11, and 12) contains data from Ohio, Pennsylvania, and Illinois. The variables in Part 13, Linkage Data, indicate which major document sources were located for each recruit. Also, provided is information regarding death dates (Part 14) for individuals whose death records came from the pension payout cards. Approximate date of death was determined by examining the last record of payment to the pensioner.

NOTE: Data based on a sample except in P3, P4, H3, and H4. For.information on confidentiality protection, sampling error,.nonsampling error, definitions, and count corrections see.http://www.census.gov/prod/cen2000/doc/sf3.pdf

This data collection constitutes a portion of the historical data collected by the project "Early Indicators of Later Work Levels, Disease, and Death." With the goal of constructing datasets suitable for longitudinal analyses of factors affecting the aging process, the project is collecting military, medical, and socioeconomical data on a sample of white males mustered into the Union Army during the Civil War. The project seeks to examine the influence of environmental and host factors prior to recruitment on the health performance and survival of recruits during military service, to identify and show relationships between socioeconomic and biomedical conditions (including nutritional status) of veterans at early ages and mortality rates from diseases at middle and late ages, and to study the effects of health and pensions on labor force participation rates of veterans at ages 65 and over. This installment of the collection, Version M-5, supersedes any previous version of these data. Collected in this version are data from military service, pension, and medical records of veterans who were originally mustered into the Union Army in California, Connecticut, Delaware, District of Columbia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New Mexico, New York, Ohio, Pennsylvania, Vermont, West Virginia, and Wisconsin regiments. Also included are data from a 20-company pilot sample and information on recruits whose pension records were stored at the Veterans Administration (VA) Archives in Washington, DC, but had not been collected previously. Data include date and place of birth, place of residence, marital status, number of children, occupation, wealth and income, muster place and date, length of service, battles fought, medical experiences (e.g., illness, wounds, and hospital stays), health status, pension information, and date, place, and cause of death. Additional variables provide the place and date of birth of the recruits' wives, children, and parents. The data are organized into three sections according to state of enlistment. Section 1 (Parts 1, 2, 3, and 4) contains data from New England, Kansas, Missouri, Minnesota, Iowa, New Jersey, Indiana, Wisconsin, California, New Mexico, and the 20-company pilot sample. Section 2 (Parts 5, 6, 7, and 8) contains data from New York, Michigan, Washington, DC, Delaware, Kentucky, Maryland, and West Virginia, along with pensions data from the VA Archives. Section 3 (Parts 9, 10, 11, and 12) contains data from Ohio, Pennsylvania, and Illinois. The variables in Part 13, Linkage Data, indicate which major document sources were located for each recruit. Also, provided is information regarding death dates (Part 14) for individuals whose death records came from the pension payout cards. Approximate date of death was determined by examining the last record of payment to the pensioner.

NARA PoW Data W.D. A.G.O. FORM NO. 0326.

This deposit contains a dataset relating to persons interned between December 7, 1941 and November 19, 1946, which has been enhanced to make it more accessible to scientists. It is based on information from the U.S. National Archives and Records Administration (NARA), which is unrestricted and available at https://aad.archives.gov/aad/series-description.jsp?s=644&popup=Y, and informs this summary. The NARA 'series' is part of Record Group 389: Records of the Office of the Provost Marshal General. It identifies 79 'places of capture' globally "Using copies of reports from the International Committee of the Red Cross ...". The Scope & Content Note states:

"This series has information about U.S. military officers and soldiers and U.S. and some Allied civilians who were prisoners of war and internees. The record for each prisoner provides serial number, personal name, branch of service or civilian status, grade, date reported, race, state of residence, type of organization, parent unit number and type, place of capture (theater of war), source of report, status, detaining power, and prisoner of war or civilian internee camp site. Records of prisoners of the Japanese who died also document whether the prisoner was on a Japanese ship that sank or if he or she died during transport from the Philippine Islands to Japan. There are no records for some prisoners of war whose names appear in the lists or cables transmitted to the Office of the Provost Marshal General by the International Committee of the Red Cross."

The U.S. War Department used punched cards to manage this information, although "The punch card records were transferred to NARA with virtually no agency documentation." According to the Custodial History Note:

"The U.S. Army transferred punch card records of World War II prisoners of war (POWs) to NARA as a unique series in its 1959 transfer of all of the U.S. Army's Departmental Archives. In 1978 the Veterans Administration borrowed most of the punch card records of repatriated U.S. military personnel for a study of Repatriated U.S. Military Prisoners of War, migrated the data on almost all of the borrowed cards to an electronic format and returned the punch cards and two electronic records data files to NARA. In 1995 NARA migrated the data from almost all of the remaining punch card records to an electronic format and has subsequently preserved all of the records in a single data file."

It is evident that the organization of this data file assumes access to other information, also accessible in CSV files in the series, in order to interpret detailed information, such as branch of service, grade, parent unit number and detaining power. For example, records appear in the following format:

O&745255ABDALLAH EDWARD A    2 LT  G1AC 200803413223003620O7222094171035  
32214872ABDALLAH JOSEPH T    CPL   61INF10230241231100157069802075181087  
36336867ABDAY JOSEPH C     PVT   81INF10170231611100168069516075181004 

constituting a serial number, then a name, then a textual code for rank; followed by a string, (starting G1AC on the first line) which encodes the remaining information. For example, the first digit (G) can be looked up in cl_1279.csv to decode ‘2nd lieutenant’, corroborating in this case the appearance of '2 LT. 'AC' indicates 'armofservicecode: AIR CORPS', but less obviously, 'detainingpower: Germany'; 'race: White' and 'theater: European Theater: Germany'. This single line is the entirety of the information provided per person instance by the NARA series. Users of this potentially valuable resource must develop automation in order to be able to search and employ it effectively; no such tools or specification from which software might be developed immediately is provided.

Significantly, this task is hampered by evidence of corruption of the some of the information, which may be due solely to the digitization process mentioned above being applied to the paper records, but possibly with subsequent contribution of fixity effects. NARA documentation does not refer to data integrity issues and, especially since the dataset which NARA provides is large, it may only be during development of automation to employ the series that such issues are discovered. Examples of problems include substitution of characters, such as 'O' replacing '0' and vice-versa; '}' replacing '3' and '&' replacing '8', or less obviously 'L' mis-recognized as '-' and 'II' replacing 'H'.

12138003 AREY GERALD J     S SG  41AC 2002064123S55}340069802055181033

Ideally, access to high resolution scans of the paper documents could be used to address these issues, or external documents. However, checking for completeness of each of the components of a person record enables detection of compromised entries and, where character substitution affects decoding of key information, other contextual information is often available to validate decoding such strings with these characters re-substituted. The larger percentage of strings which already decode plausibly without intervention do not contain incidences of such characters (so there is strong evidence that they are invalid in particular positions.

Unfortunately, there is a proportion of digital records with more severe corruption which cannot be addressed without access to scanned imagery of the paper records, for example:

O&557875ANDREW THOMAS A     2 LT  G1AC 2011094115     70140
 6881276AFTEWICZ EDWARD L    PVT   81INF10150231321100135069508065181004
   6 APLIN -OR-& -      3   1INF102  1       1 0 1 1

As of the initial date of this deposit is anticipated that such access will be possible to support further work on this series.

The dataset in this deposit does not contain records for which decoding is compromised to the extent that information to populate a basic person schema is incomplete. However, although 36,791 of the 143,374 person records in the NARA series were found to be compromised in some way, 19,624 of those have been substantially decoded and/or repaired and further work is being undertaken to both improve decoding of the 126,207 available here and to retrieve others among the 17,167 which are currently inaccessible.

This dataset has been enhanced to present the original NARA 'single data file' as a JSON resource which is more accessible for search and analysis, since each record is document-oriented (containing labels and values for each field, together with provenance information) for example:

{
  "$schema": "https://schemata.hasdai.org/historic-persons/historic-person-entry-v0.0.2.json",
  "location": [
   {
    "association": "military service",
    "transcription": "European Theater: Germany"
   },
   {
    "association": "interred",
    "transcription": "Stalag 2D Stargard Pomerania, Prussia 53-15"
   }
        ],
  "name": {
   "familyname": "AARON",
   "givenname": "JACK",
   "rank": "SGT",
   "transcription": "AARON JACK"
      },
  "set": {
   "id": "https://persons.freizo.org/export/pow/1.0.0",
   "partof": "10.5281/zenodo.3565392",
   "title": "WDAGO-0326"
      },
  "source": {
   "type": "data file"
       }
 },

The schema employed here serves a specific purpose, in addition to on-going work identifying and correcting errors in the NARA data: it supports work to discover other instances of persons appearing in this NARA series 0326, which also appear in external documentation. For example, in a separate collaborative project with Europa Institute at the University of Basel, a benchmark dataset has been produced based on listings of foreign residents in the Asian Directories and Chronicles, which forms a deposit at 10.5281/zenodo.2580997 and employs a compatible schema for the purpose of efficient comparison with this and other datasets. Other schemata could be employed for different purposes—leading to alternate datasets, all derived from series 0326. The full extent of information currently decoded from NARA series 0326 is presented at https://pow.freizo.org/ which provides search facilities by person name, plus interactive filters for person rank, service and theater of conflict.

During the Second World War, the three Axis powers of Germany, Italy, and Finland mobilized the largest share of their male population. For the Allies, the Soviet Union mobilized the largest share of men, as well as the largest total army of any country, but it was restricted in its ability to mobilize more due to the impact this would have on its economy. Other notable statistics come from the British Empire, where a larger share of men were drafted from Dominions than from the metropole, and there is also a discrepancy between the share of the black and white populations from South Africa.

However, it should be noted that there were many external factors from the war that influenced these figures. For example, gender ratios among the adult populations of many European countries was already skewed due to previous conflicts of the 20th century (namely WWI and the Russian Revolution), whereas the share of the male population eligible to fight in many Asian and African countries was lower than more demographically developed societies, as high child mortality rates meant that the average age of the population was much lower.

Black and white images from the excavations that were conducted as part of Phase III Archaeological Investigations for the St. John Properties - G.A.T.E Project, Aberdeen Proving Ground, Maryland, US. This is a selection of all the images; to view all the images, see the contact sheet of black and white images, also part of this project. Many of the images do not include a photo board, or descriptive information. Where possible, descriptive information of images given here is based on the accompanying images of photo boards.

The First World War saw the mobilization of more than 65 million soldiers, and the deaths of almost 15 million soldiers and civilians combined. Approximately 8.8 million of these deaths were of military personnel, while six million civilians died as a direct result of the war; mostly through hunger, disease and genocide. The German army suffered the highest number of military losses, totaling at more than two million men. Turkey had the highest civilian death count, largely due to the mass extermination of Armenians, as well as Greeks and Assyrians. Varying estimates suggest that Russia may have suffered the highest number of military and total fatalities in the First World War. However, this is complicated by the subsequent Russian Civil War and Russia's total specific to the First World War remains unclear to this day.

Proportional deaths In 1914, Central and Eastern Europe was largely divided between the empires of Austria-Hungary, Germany and Russia, while the smaller Balkan states had only emerged in prior decades with the decline of the Ottoman Empire. For these reasons, the major powers in the east were able to mobilize millions of men from across their territories, as Britain and France did with their own overseas colonies, and were able to utilize their superior manpower to rotate and replace soldiers, whereas smaller nations did not have this luxury. For example, total military losses for Romania and Serbia are around 12 percent of Germany's total military losses; however, as a share of their total mobilized forces these countries lost roughly 33 percent of their armies, compared to Germany's 15 percent mortality rate. The average mortality rate of all deployed soldiers in the war was around 14 percent.

Unclarity in the totals Despite ending over a century ago, the total number of deaths resulting from the First World War remains unclear. The impact of the Influenza pandemic of 1918, as well as various classifications of when or why fatalities occurred, has resulted in varying totals with differences ranging in the millions. Parallel conflicts, particularly the Russian Civil War, have also made it extremely difficult to define which conflicts the fatalities should be attributed to. Since 2012, the totals given by Hirschfeld et al in Brill's Encyclopedia of the First World War have been viewed by many in the historical community as the most reliable figures on the subject.

The United States military conscripted approximately 1.9 million service personnel into their ranks over the course of the Vietnam War. Commonly known as the draft, conscription had been conducted in the U.S. through the Selective Service System (SSS) since 1917. Initially, the draft was conducted using a random ballot by the SSS. When a person was called up by the draft, they had to report to their local draft board to evaluate their draft status. The various exemptions which draft-eligible men could use to avoid service, such as still being in university education or being medically unfit, were thought to allow better-connected and middle class men to evade the draft more easily than working class or minority men. The SSS responded to criticism of the draft system by conducting draft lotteries beginning in 1969. These draft lotteries were conducted based on birth dates, with the probability of conscription being higher for those men with birth dates which were selected earlier in the lottery. The lotteries were televised events, with millions of Americans tuning in. Opposition and the end of the draft
Conscription fueled anti-war attitudes among the public in the United States, particularly among young men eligible for service and student protesters on university campuses. Anti-war student groups began to organize events where students were encouraged to burn their draft cards in an act of defiance. Resistance to the draft grew throughout the conflict, with more people filing as conscientious objectors to the war in 1972 than actual inductees via the draft. Some of those who could not evade being drafted through the various exemptions available chose to flee the United States to countries such as Canada. Recent estimates suggest up to 100,000 men left the U.S. during this period for this reason. Due to the draft's role in driving anti-war sentiment, civil disobedience making its use untenable, and growing evidence that an all-volunteer military would be more effective, Richard Nixon campaigned in the 1968 presidential election to abolish the draft. The draft was finally ended in 1973, with the last conscripted men entering the U.S. military on June 30 of that year.

During the Second World War, the German invasion of Denmark took place on April 9, 1940, as part of Operation Weserübung. The primary aim of this campaign was the annexation of Norway, as control of the Scandinavian coast protected Germany's iron supply from Sweden and gave a tactical advantage for naval operations against the UK. Heavily outmanned and outgunned, the Danish government surrendered within a few hours, and this was the least-costly German invasion of the war (not including Austria), with just 16 Danish military fatalities on the day. Overall, modern estimates suggest that more than 6,600 Danes died as a direct result of the Second World War. Roughly half of these fatalities were civilian deaths, including upwards of 1,000 sailors killed by German submarines, and over 750 resistance fighters. However a significant share of Danes were also killed in the service of both the Axis or Allied Powers.

Danes in the service of Germany Almost one third of Danish fatalities were in the service of the German military, as over 6,000 Danish military volunteered to join the German war effort on the Eastern Front, alongside an unknown number of ethnic German volunteers (possibly 2,000) from Schleswig, along the German border. Almost 500 Danes were also killed for informing or collaborating with German authorities during the occupation; most of these were killed by the resistance during the occupation, although many were also executed after the war's conclusion.

The Danish resistance and the rescue of Denmark's Jews When compared with resistance movements in other countries, the rapid annexation of Denmark and the non-removal of the Danish government by Nazi authorities resulted in the Danish movement developing more slowly. The Danish government discouraged its citizens from rising up, and the restrictions imposed by Germany were initially less severe than in many other territories. However, resistance groups (including many military personnel) quickly formed and relayed a significant amount of information to the Allies in early years, before their actions became more violent in later years. Alongside numerous sabotage and assassination missions, a major operation of the Danish resistance was the rescue of Denmark's Jewish population. In early September 1943, German diplomat Georg Ferdinand Duckwitz learned of Hitler's order to arrest and deport Denmark's Jewish population, and secretly organized their reception in Sweden, before leaking the information to Danish authorities. Just days before the order was given, the resistance, with aid from Danish authorities, Jewish leaders, and many ordinary citizens, then smuggled over 7,000 Danish Jews and their families to Sweden. Several hundred Danish Jews were ultimately transported to concentration camps, although the majority were eventually rescued by the Danish-Swedish "white bus" missions just before the war's end. More than 99 percent of Denmark's Jews would ultimately survive the Holocaust. Duckwitz was named as one of the Righteous Among the Nations by the Israeli government in 1971, however, the Danish resistance requested not to be honored individually by Yad Vashem as theirs was a collective effort.

In 2023, more than 36 percent of civilian and military officers in Brazil were white, followed by nearly 32 percent who were Pardo Brazilian. Almost 25 percent of the police force did not identify their ethnicity.

In 2023, Lockheed Martin was the world's largest arms-producing and military services company, with arms sales amounting to over 60 billion U.S. dollars. Arms sales constituted 90 percent of total company sales in that year. RTX and Boeing followed on the places behind. Except for three European companies and one Russian, all the largest arms dealers in the world were either based in the Untied States or China. Worsening security landscape drives global military spending With the Russian invasion of Ukraine, the Israel-Hamas war in Gaza, and rising tensions between China and the United States, particularly concerning the status of Taiwan, global military spending reached new records in 2023. Whereas global military spending remained stable during the 2010s, it has increased annually the last years. Leading military spenders The United States is, by far, the largest military spender in the world, spending three times as much as China in second. In terms of share of the gross domestic product (GDP), Ukraine is the leading military spender, which must be seen in light of its war with Russia.

As of 2020, there were approximately 6.3 million veterans of the United States military still alive who served during the period of the Vietnam War from 1964 to 1975. Around 8.75 million service personnel served during the war, with 40% of those stationed in Vietnam and the surrounding Southeast Asian countries. Veterans of this conflict reflect the largest cohort of American veterans still alive in terms of service era.

Vietnam War veterans may still suffer from long-term health effects of their service during the war. These range from mental health conditions such as post-traumatic stress disorder (PTSD) and depression, to health conditions caused by exposure to toxic chemicals used to clear trees and plants in the Vietnamese jungle during the war. Since the signing of the Vietnam War Veterans Recognition Act of 2017 by President Donald J. Trump, March 29th is designated in the U.S. as National Vietnam War Veterans Day.