Unemployment Rate in the United States remained unchanged at 4.20 percent in May. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This data is used for article of macroeconomic of some Asian countries in long period which explained about four Asian countries, such as Indonesia, Malaysia, Singapore, and South Korea. This data has taken from World Bank Development Indicators (WDI) database and is formed by Vector Auto Regression (VAR) model, then empirical result is executed by Granger causality model on E-views 11 program to gauge the relationship between gross domestic product, exchange rate, inflation rate, foreign direct investment, net export, government expenditures, unemployment rate, and savings. The results showed that most of gross domestic product of sample and other macro-economy variables have not causality relationship.

This statistic shows the unemployment rate of Iran from 1999 to 2024. In 2024, Iran's unemployment rate was estimated to amount to 9.19 percent of the total labor force. Employment and economy in Iran Iran’s unemployment rate has been above 10 percent for the last 10 years, and this rate is estimated to have peaked in 2014, when estimates reached 14 percent. Also, many of those who are considered employed in Iran are also considered underemployed. Unemployment in Iran is especially high among young people and women; over 70 percent of the population’s close to 80 million inhabitants are of working age, increasing the overall demand of these inhabitants for work. Iran’s economy has also been in a recession, which has exacerbated the difficulties to meet the employment demands of its inhabitants. Although the economy is expected to recover slightly in 2014, Iran's GDP is expected to decrease and the real GDP growth rate is either negative or quite low. In times of a struggling economy, it is typically more difficult to create jobs and introduce people to the labor force. Because Iran's economic activity still depends to a large extent on oil revenues, this also reduces the stability of the economy and employment. With a decreasing per capita GDP and a high inflation rate people are also more vulnerable to changes in income and employment, making the unemployment a pressing issue that the country will have to manage.

Graph and download economic data for Noncyclical Rate of Unemployment (NROU) from Q1 1949 to Q4 2035 about NAIRU, long-term, projection, unemployment, rate, and USA.

Ireland IE: NAIRU: Equilibrium Unemployment Rate data was reported at 7.152 % in 2022. This records an increase from the previous number of 7.136 % for 2021. Ireland IE: NAIRU: Equilibrium Unemployment Rate data is updated yearly, averaging 8.407 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 12.280 % in 1990 and a record low of 7.136 % in 2021. Ireland IE: NAIRU: Equilibrium Unemployment Rate data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ireland – Table IE.OECD.EO: Non-Accelerating Inflation Rate of Unemployment (NAIRU): Forecast: OECD Member: Annual. NAIRU - Equilibrium unemployment rate The equilibrium unemployment rate (code NAIRU) is estimated using a Kalman filter in a Phillips curve framework which assumes inflation expectations are anchored at the central bank’s inflation target . The NAIRU is then projected forward from the last estimated period using a simple autoregressive rule, exceptionally modified to account for recent labour market reforms, until the end of the forecasting horizon More details on methodology in Rusticelli E., Turner D. and M. C. Cavalleri (2015), Incorporating anchored inflation expectations in the Phillips Curve and in the derivation of OECD measures of equilibrium unemployment, OECD Economics Department Working Papers No.1231 OECD, Economics Department Working Papers: Incorporating anchored inflation expectations in the Phillips Curve and in the derivation of OECD measures of equilibrium unemployment:https://www.oecd-ilibrary.org/economics/incorporating-anchored-inflation-expectations-in-the-phillips-curve-and-in-the-derivation-of-oecd-measures-of-equilibrium-unemployment_5js1gmq551wd-en

This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS). This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

In 2025, the UK economy is expected to grow by just one percent, according to the economic and fiscal outlook from March 2025. GDP growth has been downgraded from two percent when compared with the previous forecast from October 2024. The inflation rate is expected to average out at 3.2 percent, and the unemployment rate at 4.5 percent. Inflation distress continues for UK consumers The expected increase in UK inflation for 2025 looks set to peak at 3.7 percent in the third quarter of the year, before falling to two percent by early 2026. Though this spike in prices will be far less serious than in 2022, when UK inflation reached a peak of 11.1 percent in October 2022, UK households are still suffering from the impact of the previous crisis. In March 2025, approximately 59 percent of UK households were dealing with rising living costs, relative to the previous month, mainly due to rising energy and food costs. Unemployment set to rise in 2025 Aside from rising prices and a slowing economy, the UK will also have to contend with rising unemployment in 2025. As with inflation, however, the rise in unemployment is expected to be relatively mild and short-lived, especially when compared with previous periods of high unemployment. Recently, the government has been more concerned about high levels of economic inactivity, especially among young people, with the number of 16- to 24-year-olds not in employment, education, or training approaching one million towards the end of 2024.

Table 0.37: Area, population, unemployment rate, inflation rate, gross national income and gross domestic product in selected countries

Background: This study investigates the influence of regional minimum wages (RMW), gross domestic product (GDP), and inflation on Indonesia's unemployment rates from 2012 to 2020. Methods: Multiple linear regression analysis examines the relationships between these economic variables. Findings: The findings reveal that RMW significantly negatively affects unemployment rates, indicating that a 1% increase in the minimum wage leads to a 3.951% decrease in unemployment, ceteris paribus. GDP also exhibits a significant negative influence, aligning with Okun's law, which suggests an inverse relationship between economic growth and unemployment. In contrast, inflation does not significantly impact unemployment rates during the studied period. Collectively, the three variables positively and significantly affect Indonesia's unemployment rate, with an adjusted R-squared value of 0.749. This implies that 74.9% of the variation in unemployment can be explained by GDP, inflation, and minimum wages, while other factors account for the remaining 25.1%. Conclusion: The study highlights the complex interplay between these macroeconomic indicators and unemployment, providing insights for policymakers to develop effective strategies for managing employment challenges in Indonesia. Novelty/Originality of this article: This empirical analysis reveals the dynamic relationship between RMW, GDP, inflation, and unemployment in Indonesia (2012—2020). The findings provide an evidence-based basis for formulating more effective and responsive employment and economic policies for Indonesia's labour market conditions.

Unemployment Rate in China decreased to 5 percent in May from 5.10 percent in April of 2025. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation Rate in the United States increased to 2.40 percent in May from 2.30 percent in April of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States Unemployment Rate Nowcast: sa: Contribution: Breakeven Inflation Rate data was reported at 25.070 % in 12 May 2025. This records an increase from the previous number of 22.595 % for 05 May 2025. United States Unemployment Rate Nowcast: sa: Contribution: Breakeven Inflation Rate data is updated weekly, averaging 3.810 % from Jan 2020 (Median) to 12 May 2025, with 279 observations. The data reached an all-time high of 32.032 % in 28 Feb 2022 and a record low of 0.000 % in 24 Mar 2025. United States Unemployment Rate Nowcast: sa: Contribution: Breakeven Inflation Rate data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Unemployment Rate.

The statistic shows the inflation rate in Spain from 1987 to 2024, with projections up until 2030. The inflation rate is calculated using the price increase of a defined product basket. This product basket contains products and services, on which the average consumer spends money throughout the year. They include expenses for groceries, clothes, rent, power, telecommunications, recreational activities and raw materials (e.g. gas, oil), as well as federal fees and taxes. In 2023, the average inflation rate in Spain increased by about 3.4 percent compared to the previous year. Inflation in Spain As explained briefly above, inflation is commonly defined as the level of prices for goods and services in a country’s economy over a certain time span. It increases when the total money supply of a country increases, causing the money’s value to decrease, and prices to increase again in turn. Nowadays the term “inflation” is used more or less synonymously with “price level increase”. Its opposite is deflation, which, in short, means a decrease of the price level. Spain and its economy have been severely affected by the financial crisis of 2008 (as can be seen above), when the real estate bubble imploded and caused the demand for goods and services to decrease and the unemployment rate in Spain to increase dramatically. Even though deflation only occurred for one year in 2009 and the price level has been increasing since, Spain’s economy still has a long way to go until full recovery. Apart from the inflation rate and the unemployment rate, gross domestic product / GDP growth in Spain and the trade balance of goods in Spain, i.e. the exports of goods minus the imports, are additional indicators of Spain’s desolate condition during the economic crisis and its slow and difficult recovery ever since. Still, there is a silver lining for Spain’s economy. All in all, things seems to be improving economically, albeit slowly; many key indicators are starting to stabilize or even pick up again, while others still have some recovering to do.

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.

What is the relationship between unemployment and inflation?

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

United States Unemployment Rate Nowcast: sa: Contribution: Breakeven Inflation Rate: Breakeven Inflation: 10-Year data was reported at 14.261 % in 12 May 2025. This records an increase from the previous number of 12.872 % for 05 May 2025. United States Unemployment Rate Nowcast: sa: Contribution: Breakeven Inflation Rate: Breakeven Inflation: 10-Year data is updated weekly, averaging 0.073 % from Jan 2020 (Median) to 12 May 2025, with 279 observations. The data reached an all-time high of 17.258 % in 13 Jan 2025 and a record low of 0.000 % in 24 Mar 2025. United States Unemployment Rate Nowcast: sa: Contribution: Breakeven Inflation Rate: Breakeven Inflation: 10-Year data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Unemployment Rate.

The Gross Domestic Product (GDP) in the United States contracted 0.50 percent in the first quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Natural Rate of Unemployment (Short-Term) (DISCONTINUED) (NROUST) from Q1 1949 to Q4 2031 about NAIRU, short-term, projection, unemployment, rate, and USA.

The Question “Why unemployment?” is one of the most central topics of economic theory since the great depression. Unemployment remains one of the most important problems of economic policies in industrial countries. Unemployment has different causes and therefore also different countermeasures are required. “Together with the destruction of environment unemployment and inflation are in the focus of economic and political discussions on macroeconomic problems and are considered as the greatest challenges of economic policy. Depending on the level of unemployment there is a higher focus on inflation or on unemployment, if both are on an alarming level at the same time they are in the shot simultaneously. In anyway both issues need to be analyzed together because they are not independent from each other. Experiences from the recent years have shown that combating inflation leads to an increase in unemployment, at least temporarily but probably also permanently. The other way around; combating unemployment may under certain circumstances also lead to an increase in inflation… Unemployment and inflation are macroeconomic problems. The level of both undesirable developments is determined by the relations in the entire economy. Therefor it is necessary to use macroeconomic theory which deals the general economic context for the analysis. Both problems are enhanced by structural factors which also need to be analyzed. In contrast to microeconomic theory which focuses on different individual decision makers, in macroeconomic theory decision makers and decisions are summarized in macroeconomic aggregates. The common procedure is to summarize decision makers into aggregates like “private households”, “enterprises” and “the state” and the decision makers concerning the use of income into “private consumption”, “investments” and “public expenditure” (Kromphardt, Jürgen, 1998: Arbeitslosigkeit und Inflation (unemployment and inflation). 2., newly revised A. Göttingen: Vandenhoeck & Ruprecht, p. 17-18). Macroeconomic approaches on the explanation of unemployment and inflation are highly controversial in economic theory. Therefore the author starts with the attempt to present different explanations for unemployment and inflation from different macroeconomic positions. There are different unemployment: classical unemployment (reason: real wages to high), Keynesian unemployment (reason: demand for goods to low), unemployment due to a lack of working places (reason: capital stock to low). These positions give conflicting explanations and recommendations because they are based on different perceptions of the starting position. Therefor the author confronts central positions with empirical data on the macro level with the following restriction: “It is impossible to prove theories as correct (to verify). This is a reason for the fact that macroeconomic controversies do not come to a conclusion but are continued in a modified way. Furthermore economic statements in this field always affect social and political interests as all economic policies favor or put as a disadvantage interests of distinct social groups in a different way.“ (Kromphardt, a.a.O., S. 20).

Data tables in HISTAT (1) Development of employment: Presented by the development of annual average unemployment rates and the balance of labor force of the institute for labor market and occupation research (IAB, Nuremberg) after the domestic concept(employment with Germany as the place of work) For characterizing the overall economic developments, those values are used which play an important role in the reports of the German central bank: (2) Inflation: Rate of differences in the price index for costs of living compared to the previous year (3) Currency reserves of German federal banks and the German central bank: measure for foreign economic situation and the payment balance of the central bank (4) Development of economic growth: Presented by the nominal and real growth rate of the GDP (5) Inflation rate of the GDP, money supply, growth rate of the price index of the GDP (6) Labor productivity (= GDP per employee, domestic concept) (7) Real wage per employee (8) Exchange rate: DM/$ (monthly averages) (9) Growth of DGP, productivity, economically active population, real incomes, unemployment rate and adjusted wages (10) Time series connected with labor demand (11) GDP, labor volume, employees, working hours and labor productivity (12) Employee compensation, wages and ...

In 2024, the rate of surveyed unemployment in urban areas of China amounted to approximately 5.1 percent. The unemployment rate is expected to remain at 5.1 percent in 2025 and the following years. Monthly unemployment ranged at a level of around 5.3 percent in the first quarter of 2025. Unemployment rate in China In 2017, the National Statistics Bureau of China introduced surveyed unemployment as a new indicator of unemployment in the country. It is based on monthly surveys among the labor force in urban areas of China. Surveyed unemployment replaced registered unemployment figures, which were often criticized for missing out large parts of the urban labor force and thereby not presenting a true picture of urban unemployment levels. However, current unemployment figures still do not include rural areas.A main concern in China’s current state of employment lies within the large regional differences. As of 2021, the unemployment rate in northeastern regions of China was notably higher than in China’s southern parts. In Beijing, China’s political and cultural center, registered unemployment ranged at around 3.2 percent for 2021. Indicators of economic activities Apart from the unemployment rate, most commonly used indicators to measure economic activities of a country are GDP growth and inflation rate. According to an IMF forecast, GDP growth in China will decrease to about four percent in 2025, after five percent in 2023, depicting a decrease of more than six percentage points from 10.6 percent in 2010. Quarterly growth data published by the National Bureau of Statistics indicated 5.4 percent GDP growth for the first quarter of 2025.

The longer-run projections are the rates of growth, inflation, and unemployment to which a policymaker expects the economy to converge over time in the absence of further shocks and under appropriate monetary policy. Because appropriate monetary policy, by definition, is aimed at achieving the Federal Reserve's dual mandate of maximum employment and price stability in the longer run, policymakers' longer-run projections for economic growth and unemployment may be interpreted, respectively, as estimates of the economy's longer-run potential growth rate and the longer-run normal rate of unemployment; similarly, the longer-run projection of inflation is the rate of inflation which the FOMC judges to be most consistent with its dual mandate in the longer-term.

Projections of real gross domestic product growth are fourth-quarter growth rates - that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the midpoint of the central tendency forecast's high and low values established by the Federal Open Market Committee.

Digitized originals of this release can be found at https://fraser.stlouisfed.org/publication/?pid=677.