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.

Graph and download economic data for Unemployment Rate - Veterans, Vietnam-Era and Earlier Wartime Periods, 18 Years and over (LNU04077884) from Sep 2008 to Jun 2025 about korean war, Vietnam Era, World War, 18 years +, veterans, household survey, unemployment, rate, and USA.

United States - Labor Force Participation Rate - Veterans, World War II or Korean War or Vietnam Era, 18 Years and over was 12.20% in May of 2025, according to the United States Federal Reserve. Historically, United States - Labor Force Participation Rate - Veterans, World War II or Korean War or Vietnam Era, 18 Years and over reached a record high of 40.10 in November of 2008 and a record low of 11.10 in April of 2025. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Labor Force Participation Rate - Veterans, World War II or Korean War or Vietnam Era, 18 Years and over - last updated from the United States Federal Reserve on July of 2025.

The American Civil War is the conflict with the largest number of American military fatalities in history. In fact, the Civil War's death toll is comparable to all other major wars combined, the deadliest of which were the World Wars, which have a combined death toll of more than 520,000 American fatalities. The ongoing series of conflicts and interventions in the Middle East and North Africa, collectively referred to as the War on Terror in the west, has a combined death toll of more than 7,000 for the U.S. military since 2001. Other records In terms of the number of deaths per day, the American Civil War is still at the top, with an average of 425 deaths per day, while the First and Second World Wars have averages of roughly 100 and 200 fatalities per day respectively. Technically, the costliest battle in U.S. military history was the Battle of Elsenborn Ridge, which was a part of the Battle of the Bulge in the Second World War, and saw upwards of 5,000 deaths over 10 days. However, the Battle of Gettysburg had more military fatalities of American soldiers, with almost 3,200 Union deaths and over 3,900 Confederate deaths, giving a combined total of more than 7,000. The Battle of Antietam is viewed as the bloodiest day in American military history, with over 3,600 combined fatalities and almost 23,000 total casualties on September 17, 1862. Revised Civil War figures For more than a century, the total death toll of the American Civil War was generally accepted to be around 620,000, a number which was first proposed by Union historians William F. Fox and Thomas L. Livermore in 1888. This number was calculated by using enlistment figures, battle reports, and census data, however many prominent historians since then have thought the number should be higher. In 2011, historian J. David Hacker conducted further investigations and claimed that the number was closer to 750,000 (and possibly as high as 850,000). While many Civil War historians agree that this is possible, and even likely, obtaining consistently accurate figures has proven to be impossible until now; both sides were poor at keeping detailed records throughout the war, and much of the Confederacy's records were lost by the war's end. Many Confederate widows also did not register their husbands death with the authorities, as they would have then been ineligible for benefits.

Graph and download economic data for Labor Force Participation Rate - Veterans, Vietnam-Era and Earlier Wartime Periods, 18 Years and over, Men (LNU01373765) from Sep 2008 to Jun 2025 about korean war, Vietnam Era, World War, 18 years +, veterans, males, participation, civilian, labor force, labor, household survey, rate, and USA.

This dataset contains estimates for cause-specific age-standardized mortality rates for groups of Injuries (Transport Injuries, Unintentional Injuries, Self-harm and Interpersonal Violence, Forces of Nature, War, and Legal Intervention) at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014 (quinquennial), as well as the changes in rates during this period.

About this dataset

Context

The dataset tabulates the War population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of War across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of War was 559, a 2.44% decrease year-by-year from 2022. Previously, in 2022, War population was 573, a decline of 3.86% compared to a population of 596 in 2021. Over the last 20 plus years, between 2000 and 2023, population of War decreased by 350. In this period, the peak population was 909 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the War is shown in this column.
• Year on Year Change: This column displays the change in War population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for War Population by Year. You can refer the same here

In 1941, in the eastern, rural regions of Soviet Russia, almost 54 percent of all deaths were of children below the age of five years, and almost one third of all deaths (or roughly three fifths of deaths in the 0-4 age bracket) were of infants who were yet to reach their first birthday. This spike in child mortality was largely due to the redirection of manpower, as well as medical resources, to the frontlines, along with disruptions in food supplies, and the general destruction caused by the war. As conditions improved, the share of child deaths in subsequent years saw a significant reduction, however a large part of this was also due to the drop in fertility caused by the war, where fewer children died as there were simply fewer children born in these years.

The Office of the United Nations High Commissioner for Human Rights (OHCHR) verified a total of 46,085 civilian casualties during Russia's invasion of Ukraine as of May 31, 2025. Of them, 32,744 people were reported to have been injured. However, OHCHR specified that the real numbers could be higher. How many people have died during the war in Ukraine? OHCHR has estimated the number of deaths of civilians, or non-armed individuals, in Ukraine at 13,341 since the start of the war on February 24, 2022. The highest death toll was recorded in March 2022, at over 3,900. The figures on soldier deaths are reported by Russia and Ukraine’s governmental authorities, but they cannot be verified at this point and thus need to be taken with caution. Conflict-related deaths in Ukraine from 2014 to 2021 After Russia annexed Crimea in 2014, Ukraine has seen a military conflict between the government and the Russia-supported separatist regions of Donetsk and Luhansk. OHCHR estimates that between 14,200 and 14,400 people, including civilians and military personnel, were killed in relation to that conflict from April 14, 2014, to December 31, 2021. Of them, at least 3,400 were civilians.

Unemployment Rate - Women, Veterans, World War II or Korean War or Vietnam Era, 18 Years and over was 7.30% in April of 2019, according to the United States Federal Reserve. Historically, Unemployment Rate - Women, Veterans, World War II or Korean War or Vietnam Era, 18 Years and over reached a record high of 13.90 in April of 2011 and a record low of 0.00 in November of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate - Women, Veterans, World War II or Korean War or Vietnam Era, 18 Years and over - last updated from the United States Federal Reserve on July of 2025.

It is estimated that the Second World War was responsible for the deaths of approximately 3.76 percent of the world's population between 1939 and 1945. In 2022, where the world's population reached eight billion, this would be equal to the death of around 300 million people.

The region that experienced the largest loss of life relative to its population was the South Seas Mandate - these were former-German territories given to the Empire of Japan through the Treaty of Versailles following WWI, and they make up much of the present-day countries of the Marshall Islands, Micronesia, the Northern Mariana Islands (U.S. territory), and Palau. Due to the location and strategic importance of these islands, they were used by the Japanese as launching pads for their attacks on Pearl Harbor and in the South Pacific, while they were also taken as part of the Allies' island-hopping strategy in their counteroffensive against Japan. This came at a heavy cost for the local populations, a large share of whom were Japanese settlers who had moved there in the 1920s and 1930s. Exact figures for both pre-war populations and wartime losses fluctuate by source, however civilian losses in these islands were extremely high as the Japanese defenses resorted to more extreme measures in the war's final phase.

Lists of people born and / or residents of Terrassa who were victims of the ravages of the Civil War, dead combatants but also civilian personnel, as well as people victims of the actions of the control patrols. Research author: Josep Lluís Lacueva / Arxiu Històric de Terrassa - Arxiu Comarcal del Vallès Occidental

Estimates for the total death count of the Second World War generally range somewhere between 70 and 85 million people. The Soviet Union suffered the highest number of fatalities of any single nation, with estimates mostly falling between 22 and 27 million deaths. China then suffered the second greatest, at around 20 million, although these figures are less certain and often overlap with the Chinese Civil War. Over 80 percent of all deaths were of those from Allied countries, and the majority of these were civilians. In contrast, 15 to 20 percent were among the Axis powers, and the majority of these were military deaths, as shown in the death ratios of Germany and Japan. Civilian deaths and atrocities It is believed that 60 to 67 percent of all deaths were civilian fatalities, largely resulting from war-related famine or disease, and war crimes or atrocities. Systematic genocide, extermination campaigns, and forced labor, particularly by the Germans, Japanese, and Soviets, led to the deaths of millions. In this regard, Nazi activities alone resulted in 17 million deaths, including six million Jews in what is now known as The Holocaust. Not only was the scale of the conflict larger than any that had come before, but the nature of and reasoning behind this loss make the Second World War stand out as one of the most devastating and cruelest conflicts in history. Problems with these statistics Although the war is considered by many to be the defining event of the 20th century, exact figures for death tolls have proven impossible to determine, for a variety of reasons. Countries such as the U.S. have fairly consistent estimates due to preserved military records and comparatively few civilian casualties, although figures still vary by source. For most of Europe, records are less accurate. Border fluctuations and the upheaval of the interwar period mean that pre-war records were already poor or non-existent for many regions. The rapid and chaotic nature of the war then meant that deaths could not be accurately recorded at the time, and mass displacement or forced relocation resulted in the deaths of many civilians outside of their homeland, which makes country-specific figures more difficult to find. Early estimates of the war’s fatalities were also taken at face value and formed the basis of many historical works; these were often very inaccurate, but the validity of the source means that the figures continue to be cited today, despite contrary evidence.

In comparison to Europe, estimate ranges are often greater across Asia, where populations were larger but pre-war data was in short supply. Many of the Asian countries with high death tolls were European colonies, and the actions of authorities in the metropoles, such as the diversion of resources from Asia to Europe, led to millions of deaths through famine and disease. Additionally, over one million African soldiers were drafted into Europe’s armies during the war, yet individual statistics are unavailable for most of these colonies or successor states (notably Algeria and Libya). Thousands of Asian and African military deaths went unrecorded or are included with European or Japanese figures, and there are no reliable figures for deaths of millions from countries across North Africa or East Asia. Additionally, many concentration camp records were destroyed, and such records in Africa and Asia were even sparser than in Europe. While the Second World War is one of the most studied academic topics of the past century, it is unlikely that we will ever have a clear number for the lives lost in the conflict.

During World War I the birth rate in France fell by 50%. Why? I build a model of fertility choices where the war implies a positive probability that a wife remains alone, a partially-compensated loss of a husband's income, and a temporary decline in productivity followed by faster growth. I calibrate the model's key parameters using pre-war data. I find that it accounts for 91% of the decline of the birth rate. The main determinant of this result is the loss of expected income associated with the risk that a wife remains alone.

Graph and download economic data for Unemployment Rate - Veterans, Gulf War Era II, 18 Years and over (LNU04066408) from Jan 2006 to Jun 2025 about gulf war, 18 years +, veterans, household survey, unemployment, rate, and USA.

Russian mortality rates during the Second World War were among the highest in the world. In terms of distribution, over one quarter of all deaths were of infants who had not yet reached one year old, and almost half of all deaths took place among children below the age of five. The distribution of these deaths varied between urban and rural regions, with a higher share of adults dying in urban areas.

The disproportionate impact of the war on male mortality rates, alongside the fact that the natural life expectancy among men is lower than that of women, meant that the share of men who died between the ages of 15 and 64 was much higher than female death rates. For women, the share of deaths among the youngest and oldest age groups were higher than those of men.

United States - Labor Force Participation Rate - Veterans, Gulf War Era I, 18 Years and over was 63.40% in May of 2025, according to the United States Federal Reserve. Historically, United States - Labor Force Participation Rate - Veterans, Gulf War Era I, 18 Years and over reached a record high of 89.00 in July of 2009 and a record low of 63.40 in May of 2025. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Labor Force Participation Rate - Veterans, Gulf War Era I, 18 Years and over - last updated from the United States Federal Reserve on June of 2025.

Between 1939 and 1950, the Soviet Union's fertility rate underwent the most drastic change of all the major Allied Powers; falling from 4.9 births per woman in 1939 to just 1.7 births in 1943. In Russia alone, this decline was even greater, falling from 4.9 to 1.3 births in the same time period. After the war's conclusion in 1945, there was an observable increase in fertility in all the given countries, and this marked beginning of the global baby boom of the mid-twentieth century.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Do Wars Fuel Inflation? A Statistical Exploration

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Previous research concerning the relationship between conflict and public health finds that countries emerging from war face greater challenges in ensuring the well-being of their populations in comparison with states that have enjoyed political stability. This study seeks to extend this insight by considering how different civil war conflict strategies influence post-conflict public health. Drawing a distinction between deaths attributable to battle and those fatalities resulting from genocide/politicide, we find that the magnitude of genocide/politicide proves the more effective and consistent predictor of future rates of disability and death in the aftermath of civil war. The implications of this research are twofold. First, it lends support to an emerging literature suggesting that important distinctions exist between the forms of violence occurring during civil war. Second, of particular interest to policymakers, it identifies post-civil war states that have experienced the highest rates of genocide/politicide as the countries most in need of assistance in the aftermath of conflict.