The United States economy began to experience a period of higher inflation at the end of the 1960s. This trend marked the end of what was termed the 'Golden Era of Capitalism', a period following World War II in which the United States experienced historically unprecedented annual growth rates, along with low inflation and unemployment. While the causes of this inflation are debated, expansionary fiscal policy related to the Vietnam War at a time of full employment in the early 1960s likely contributed to rising price levels. Taxes were not raised to compensate for the increased costs of the war until 1968, at which point inflation had already climbed to 3.6 percent. On the other hand, military spending was small compared to overall U.S. GDP during this period, reaching a peak of 9.8% in 1968, indicating that military spending alone cannot explain the rising inflation rate. The sharp uptick after 1973 came as a result of the 1973 Arab-Israeli War in the Middle East, where Arab countries implemented an oil embargo against the United States for its support of Israel, and the price of oil rose exponentially.

Due to the Russian invasion of Ukraine, the March 2022 forecast of the global inflation rate in 2022 was increased by nearly three percent compared to projections from February 2022. The impact on prices in Russia was the most significant in 2022, at 3.3 percent compared to the base.

The Russia-Ukraine war impacted consumer prices in North Africa. According to projections, inflation in all North African countries increased in 2022 due to the war. Considering the long-conflict scenario, with the war continuing after *********, Egypt's inflation rate would reach **** percent. In contrast, the baseline scenario saw a projected inflation of *** percent. In Tunisia, the inflation rate jumped to **** percent, compared to a baseline scenario of *** percent.

Inflation Rate in Russia decreased to 9.40 percent in June from 9.90 percent in May of 2025. This dataset provides - Russia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This data package includes the underlying data to replicate the charts, tables, and calculations presented in Why did inflation rise and fall so rapidly? Lessons from the Korean War, PIIE Working Paper 25-1.

If you use the data, please cite as:

Gagnon, Joseph E., and Asher Rose. 2025. Why did inflation rise and fall so rapidly? Lessons from the Korean War. PIIE Working Paper 25-1. Washington: Peterson Institute for International Economics.

Inflation is generally defined as the continued increase in the average prices of goods and services in a given region. Following the extremely high global inflation experienced in the 1980s and 1990s, global inflation has been relatively stable since the turn of the millennium, usually hovering between three and five percent per year. There was a sharp increase in 2008 due to the global financial crisis now known as the Great Recession, but inflation was fairly stable throughout the 2010s, before the current inflation crisis began in 2021. Recent years Despite the economic impact of the coronavirus pandemic, the global inflation rate fell to 3.26 percent in the pandemic's first year, before rising to 4.66 percent in 2021. This increase came as the impact of supply chain delays began to take more of an effect on consumer prices, before the Russia-Ukraine war exacerbated this further. A series of compounding issues such as rising energy and food prices, fiscal instability in the wake of the pandemic, and consumer insecurity have created a new global recession, and global inflation in 2024 is estimated to have reached 5.76 percent. This is the highest annual increase in inflation since 1996. Venezuela Venezuela is the country with the highest individual inflation rate in the world, forecast at around 200 percent in 2022. While this is figure is over 100 times larger than the global average in most years, it actually marks a decrease in Venezuela's inflation rate, which had peaked at over 65,000 percent in 2018. Between 2016 and 2021, Venezuela experienced hyperinflation due to the government's excessive spending and printing of money in an attempt to curve its already-high inflation rate, and the wave of migrants that left the country resulted in one of the largest refugee crises in recent years. In addition to its economic problems, political instability and foreign sanctions pose further long-term problems for Venezuela. While hyperinflation may be coming to an end, it remains to be seen how much of an impact this will have on the economy, how living standards will change, and how many refugees may return in the coming years.

Core consumer prices in the United States increased 2.80 percent in May of 2025 over the same month in the previous year. This dataset provides - United States Core Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Survey investigates indepth attitudes toward the economy, affects of inflation, and financial management.

Questions include standard of living, income, financial stress, savings and borrowing habits, money budgeted for housing, transportation, food and leisure. Questions about taxation, causes of inflation, recession, tax revolt, cost of living and financial investments are also included. A tack-on surveys attitudes toward environmental air and water pollution, political affairs, civil rights, and Joe Namath.

Inflation Rate in Ukraine decreased to 14.30 percent in June from 15.90 percent in May of 2025. This dataset provides the latest reported value for - Ukraine Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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

About this dataset

Context

The dataset illustrates the median household income in War, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for War decreased by $10,509 (35.53%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 5 years and declined for 6 years.

https://i.neilsberg.com/ch/war-wv-median-household-income-trend.jpeg" alt="War, WV median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 median household income. You can refer the same here

Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

The military frequently uses operational war games to train officers and test war plans in scenarios meant to resemble possible real-world conflicts. However, operational war games are not always designed to be a maximally accurate reflection of the world. Often their aim is to train and test personnel, or to demonstrate the adequacy or inadequacy of a concept. The forms of bias this introduces varies depending on the purpose of the game, but those biases may then intrude into real-world perceptions through their portrayal as accurate simulations in media. I aim to test whether respondents who read a real report on a US-China wargame have higher perceptions of the risk of China invading Taiwan, its military power, and the need for the U.S. to devote resources to defending its interest in East Asia.

This paper examines how the decision-makers manage and deal with the Russian invasion from an economic perspective. The consequences of the made decisions in the long and short terms. Meantime, how were the European-American people influenced by these decisions, and to what extent did these decisions affect the economy of other nations? Consequently, to what extent could the current global financial system be exposed? Regardless of the damage and paralysis that this administration has caused to the Russian economy. We also discuss the beginning of the Russian threat and the precautions that should have been taken to avoid today's economic crisis. We also address the concept of the current applied siege model and mechanisms that can directly affect and weakening-off the regimes. Finally, we discuss the invasion of the Russian Federation and how this humanitarian catastrophe can be ended. Finally, we propose a scenario for ending the humanitarian and economic catastrophe caused by the Russian-Ukraine invasion.

In May 2025, the inflation rate in Russia stood at **** percent compared to the same month in the previous year, showing an increase. The rate has been decreasing since March 2025. The highest rate during the observed period was recorded in April 2022, at **** percent. The term inflation means the devaluation of money caused by a permanent increase in the price level for products (consumer goods, investment goods). The Consumer Price Index (CPI) shows the price development for private expenses and shows the current level of inflation when increasing. Russia's economy, an outlook The Russian economy was expected to grow by *** percent in 2025 despite the Western sanctions over the war in Ukraine that began in February 2022. At the same time, consumer prices were projected to grow by around **** percent in 2025 relative to the previous year. In 2024, the inflation rate was estimated at **** percent. Prices in Russia Russia’s economy is highly dependent on and affected by the price of oil. The price of the Urals crude oil stood at approximately ***** U.S. dollars per barrel in April 2025, having demonstrated a decrease from the previous month. The highest producer price index (PPI) was recorded in the electricity and gas supply sector, with a price growth rate of over ** percent in September 2024.

Data for the manuscript entitled "Global Financial Crisis, Covid-19, and Russia-Ukraine War: Are the Effects of Macroeconomic Shocks on Global Inflation Different?

BackgroundThe war that started on November 4, 2020, in the Tigray region of Northern Ethiopia severely affected the health sector. However, there is no available evidence to suggest the economic damage caused to the public health system because of war-related looting or vandalism. This study was aimed at estimating the cost of war-related looting or vandalism in Tigray’s public health system in Northern Ethiopia in 2021.MethodsA provider perspective, a mixed costing method, a retrospective cross-sectional approach, a 50% inflation rate, and a 50 Ethiopian birr equivalent to one United States dollar ($) for the money value were used. The data were analyzed using Microsoft Excel, taking into consideration the Sendai framework indicators.ResultsThe total economic cost of the war-related looting or vandalism in monetary terms was more than $3.78 billion, and the damage to the economic value in monetary terms was more than $2.31 billion. Meanwhile, the direct economic loss to the health system in monetary terms was more than $511 million. According to this assessment, 514 (80.6%) health posts, 153 (73.6%) health centers, 16 (80%) primary hospitals, 10 (83.3%) general hospitals, and 2 (100%) specialized hospitals were damaged and/or vandalized either fully or partially due to the war.ConclusionThis war seriously affected the public health sector in the Tigray region. The Federal Government of Ethiopia, the Ministry of Health of Ethiopia, the Tigrayan Government, the Tigray Regional Health Bureau, and the international community must make efforts to find resources for the revitalization of the damaged, plundered, and vandalized healthcare system.

This timeline shows the inflation rate in Afghanistan from 2006 to 2023. In 2023, Afghanistan's average inflation rate amounted to -7.71 percent compared to the previous year. Afghanistan's economy Inflation in Afghanistan has experienced an increase every year with the exception of 2009. Some short-term increases in prices are often attributed to wars, which is a fundamental reason for yearly inflation in Afghanistan. On the other hand, wars often cause spikes in GDP, primarily due to an increased amount of production and reparations. This was not the case for Afghanistan, however. GDP, more specifically GDP per capita, remained relatively low as of 2013, despite increasing annually and ranked as one of the top 20 lowest gross domestic product per capita values in 2013. GDP per capita measures a country’s productivity by using its entire gross domestic product and dividing it by the number of people in the country and is mostly used to compare one nation with another. From an economic standpoint, Afghanistan imported many more goods than they exported, leading to a trade deficit. The country has experienced a trade deficit every year over the past decade, most notably in 2011. Reasons for the ongoing deficit could potentially be the lack of government support for domestic production as well as stiff rules towards marketing. Also, production and transport are likely to suffer due to the war. A trade deficit also implicates that a country borrows more money from other nations in order to sustain and fulfill the needs its economy, along with its citizens.

In August 2024, the global consumer price index, excluding the United States, stood at *****, compared to ***** for the U.S. The data for the world and emerging economies are distorted by hyperinflation in Venezuela and may not accurately reflect the inflation rate of other countries. However, Russia's war in Ukraine caused a surge in prices globally through 2022 and 2023. The headline consumer price index tracks the changes in the price level of a basket of goods and services purchased by households. Economic challenges in Argentina While CPI increases have been significant globally, certain economies have experienced more dramatic increases than others. Argentina is a notable case of these increases, as the CPI has increased more than *** percent between 2020 and 2023. Currently, most of the Argentinian public considers inflation and low wages to be the biggest challenges facing the country. Consumer responses to price increases Globally, consumers are coping with price increases in many ways. In a May 2023 survey, ** percent respondents from over 14 countries indicated they were more conscious about prices than previously. In another survey from earlier that year, over ** percent of respondents indicated they were most concerned about inflation and had changed their consumption habits as a result.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in War. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in War. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in War, where there exist only two delineated age groups, the median household income is $28,906 for householders within the 45 to 64 years age group, compared to $20,089 for the 65 years and over age group.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 median household income by age. You can refer the same here