With the collapse of the U.S. housing market and the subsequent financial crisis on Wall Street in 2007 and 2008, economies across the globe began to enter into deep recessions. What had started out as a crisis centered on the United States quickly became global in nature, as it became apparent that not only had the economies of other advanced countries (grouped together as the G7) become intimately tied to the U.S. financial system, but that many of them had experienced housing and asset price bubbles similar to that in the U.S.. The United Kingdom had experienced a huge inflation of housing prices since the 1990s, while Eurozone members (such as Germany, France and Italy) had financial sectors which had become involved in reckless lending to economies on the periphery of the EU, such as Greece, Ireland and Portugal. Other countries, such as Japan, were hit heavily due their export-led growth models which suffered from the decline in international trade. Unemployment during the Great Recession As business and consumer confidence crashed, credit markets froze, and international trade contracted, the unemployment rate in the most advanced economies shot up. While four to five percent is generally considered to be a healthy unemployment rate, nearing full employment in the economy (when any remaining unemployment is not related to a lack of consumer demand), many of these countries experienced rates at least double that, with unemployment in the United States peaking at almost 10 percent in 2010. In large countries, unemployment rates of this level meant millions or tens of millions of people being out of work, which led to political pressures to stimulate economies and create jobs. By 2012, many of these countries were seeing declining unemployment rates, however, in France and Italy rates of joblessness continued to increase as the Euro crisis took hold. These countries suffered from having a monetary policy which was too tight for their economies (due to the ECB controlling interest rates) and fiscal policy which was constrained by EU debt rules. Left with the option of deregulating their labor markets and pursuing austerity policies, their unemployment rates remained over 10 percent well into the 2010s. Differences in labor markets The differences in unemployment rates at the peak of the crisis (2009-2010) reflect not only the differences in how economies were affected by the downturn, but also the differing labor market institutions and programs in the various countries. Countries with more 'liberalized' labor markets, such as the United States and United Kingdom experienced sharp jumps in their unemployment rate due to the ease at which employers can lay off workers in these countries. When the crisis subsided in these countries, however, their unemployment rates quickly began to drop below those of the other countries, due to their more dynamic labor markets which make it easier to hire workers when the economy is doing well. On the other hand, countries with more 'coordinated' labor market institutions, such as Germany and Japan, experiences lower rates of unemployment during the crisis, as programs such as short-time work, job sharing, and wage restraint agreements were used to keep workers in their jobs. While these countries are less likely to experience spikes in unemployment during crises, the highly regulated nature of their labor markets mean that they are slower to add jobs during periods of economic prosperity.

In 2010, unemployment rate in France reached a record level of 10.4 percent. Unemployment remains a rampant issue for French economy, being stagnant year-over-year since the financial and economical crisis in 2008. During the first quarter of 2018, more than 1.4 million people aged between 25 and 49 years were unemployed in France.

Change in unemployment since 2008

In 2008, year of the financial crisis, unemployment rate in France reached its lowest level since 2004. That year, France had an unemployment rate of 7.4 percent while, one year before it had reached 8 eight percent. Unemployment is an important economic factor for a country and a measure of a region’s economic health. Despite its low level in 2008, unemployment rate in France increased steadily between 2009 and 2016. In 2015, it even reached its highest level since the mid-2000s with a percentage of unemployed people among the French population which was of 10.4 percent. That year, unemployed people represented 11.5 percent of the urban population in France. However, French unemployment rate seemed to be experiencing improvements in recent years. In 2017, long-term employment rate decreased after several years of constant growth.

Unemployment in France and the EU

European markets were particularly affected by the 2008 global financial crisis and the recession which followed. Nevertheless, Unemployment rate in the EU reached 6.5 percent in January 2019, compared to 7.2 percent one year before and the number of unemployed persons in the European Union and the Euro area is declining since 2018. This improvement seems to be affecting France to a lesser extent. France was one of the EU members with the highest unemployment rate in 2019, and youth unemployment still reaches a record number in the country.

In 1990, the unemployment rate of the United States stood at 5.6 percent. Since then there have been many significant fluctuations to this number - the 2008 financial crisis left millions of people without work, as did the COVID-19 pandemic. By the end of 2022 and throughout 2023, the unemployment rate came to 3.6 percent, the lowest rate seen for decades. However, 2024 saw an increase up to four percent. For monthly updates on unemployment in the United States visit either the monthly national unemployment rate here, or the monthly state unemployment rate here. Both are seasonally adjusted. UnemploymentUnemployment is defined as a situation when an employed person is laid off, fired or quits his work and is still actively looking for a job. Unemployment can be found even in the healthiest economies, and many economists consider an unemployment rate at or below five percent to mean there is 'full employment' within an economy. If former employed persons go back to school or leave the job to take care of children they are no longer part of the active labor force and therefore not counted among the unemployed. Unemployment can also be the effect of events that are not part of the normal dynamics of an economy. Layoffs can be the result of technological progress, for example when robots replace workers in automobile production. Sometimes unemployment is caused by job outsourcing, due to the fact that employers often search for cheap labor around the globe and not only domestically. In 2022, the tech sector in the U.S. experienced significant lay-offs amid growing economic uncertainty. In the fourth quarter of 2022, more than 70,000 workers were laid off, despite low unemployment nationwide. The unemployment rate in the United States varies from state to state. In 2021, California had the highest number of unemployed persons with 1.38 million out of work.

The underemployment rate, the percent of employed people who are working part-time but prefer to be working full-time, moves closely with the unemployment rate, rising during recessions and falling during expansions. Following the Great Recession, the underemployment rate had stayed persistently elevated when compared to the unemployment rate, that is, until the COVID-19 recession. Since then, it has been consistent with its pre-2008 levels. We find that changes in relative industry size account for essentially none of the underemployment rate increase after the Great Recession nor the underemployment rate decrease after the COVID-19 recession. Based on this finding, we do not expect the underemployment rate to revert to its pre-COVID-19 levels if industry composition reverts to its pre-COVID-19 structure.

The unemployment rate in fiscal year 2204 rose to 3.9 percent. The unemployment rate of the United States which has been steadily decreasing since the 2008 financial crisis, spiked to 8.1 percent in 2020 due to the COVID-19 pandemic. The annual unemployment rate of the U.S. since 1990 can be found here. Falling unemployment The unemployment rate, or the part of the U.S. labor force that is without a job, fell again in 2022 after peaking at 8.1 percent in 2020 - a rate that has not been seen since the years following the 2008 financial crisis. The financial crash caused unemployment in the U.S. to soar from 4.6 percent in 2007 to 9.6 percent in 2010. Since 2010, the unemployment rate had been steadily falling, meaning that more and more people are finding work, whether that be through full-time employment or part-time employment. However, the affects of the COVID-19 pandemic created a spike in unemployment across the country. U.S. unemployment in comparison Compared to unemployment rates in the European Union, U.S. unemployment is relatively low. Greece was hit particularly hard by the 2008 financial crisis and faced a government debt crisis that sent the Greek economy into a tailspin. Due to this crisis, and the added impact of the pandemic, Greece still has the highest unemployment rate in the European Union.

U.S. Economic and Financial Dataset

Dataset Description

This dataset combines historical U.S. economic and financial indicators, spanning the last 50 years, to facilitate time series analysis and uncover patterns in macroeconomic trends. It is designed for exploring relationships between interest rates, inflation, economic growth, stock market performance, and industrial production.

Key Features

• Frequency: Monthly
• Time Period: Last 50 years from Nov-24
• Sources:
  • Federal Reserve Economic Data (FRED)
  • Yahoo Finance

Dataset Feature Description

1. Interest Rate (Interest_Rate):

   • The effective federal funds rate, representing the interest rate at which depository institutions trade federal funds overnight.

2. Inflation (Inflation):

   • The Consumer Price Index for All Urban Consumers, an indicator of inflation trends.

3. GDP (GDP):

   • Real GDP measures the inflation-adjusted value of goods and services produced in the U.S.

4. Unemployment Rate (Unemployment):

   • The percentage of the labor force that is unemployed and actively seeking work.

5. Stock Market Performance (S&P500):

   • Monthly average of the adjusted close price, representing stock market trends.

6. Industrial Production (Ind_Prod):

   • A measure of real output in the industrial sector, including manufacturing, mining, and utilities.

Dataset Statistics

1. Total Entries: 599
2. Columns: 6
3. Memory usage: 37.54 kB
4. Data types: float64

Feature Overview

• Columns:
  • Interest_Rate: Monthly Federal Funds Rate (%)
  • Inflation: CPI (All Urban Consumers, Index)
  • GDP: Real GDP (Billions of Chained 2012 Dollars)
  • Unemployment: Unemployment Rate (%)
  • Ind_Prod: Industrial Production Index (2017=100)
  • S&P500: Monthly Average of S&P 500 Adjusted Close Prices

Executive Summary

This project explores the interconnected dynamics of key macroeconomic indicators and financial market trends over the past 50 years, leveraging data from the Federal Reserve Economic Data (FRED) and Yahoo Finance. The dataset integrates critical variables such as the Federal Funds Rate, Inflation (CPI), Real GDP, Unemployment Rate, Industrial Production, and the S&P 500 Index, providing a holistic view of the U.S. economy and financial markets.

The analysis focuses on uncovering relationships between these variables through time-series visualization, correlation analysis, and trend decomposition. Key findings are included in the Insights section. This project serves as a robust resource for understanding long-term economic trends, policy impacts, and market behavior. It is particularly valuable for students, researchers, policymakers, and financial analysts seeking to connect macroeconomic theory with real-world data.

Potential Use Cases

• Economic Analysis: Examine relationships between interest rates, inflation, GDP, and unemployment.
• Stock Market Prediction: Study how macroeconomic indicators influence stock market trends.
• Time Series Modeling: Perform ARIMA, VAR, or other models to forecast economic trends.
• Cyclic Pattern Analysis: Identify how economic shocks and recoveries impact key indicators.

Snap of Power Analysis

https://github.com/user-attachments/assets/1b40e0ca-7d2e-4fbc-8cfd-df3f09e4fdb8">

To ensure sufficient power, the dataset covers last 50 years of monthly data i.e., around 600 entries.

Key Insights derived through EDA, time-series visualization, correlation analysis, and trend decomposition

• Interest Rate and Inflation Dynamics: The interest Rate and inflation exhibit an inverse relationship, especially during periods of aggressive monetary tightening by the Federal Reserve.
• Economic Growth and Market Performance: GDP growth and the S&P 500 Index show a positive correlation, reflecting how market performance often aligns with overall economic health.
• Labor Market and Industrial Output: Unemployment and industrial production demonstrate a strong inverse relationship. Higher industrial output is typically associated with lower unemployment
• Market Behavior During Economic Shocks: The S&P 500 experienced sharp declines during significant crises, such as the 2008 financial crash and the COVID-19 pandemic in 2020. These events also triggered increased unemployment and contractions in GDP, highlighting the interplay between markets and the broader economy.
• Correlation Highlights: S&P 500 and GDP have a strong positive correlation. Interest rates negatively correlate with GDP and inflation, reflecting monetary policy impacts. Unemployment is negatively correlated with industrial production but positively correlated with interest rates.

Link to GitHub Repo

https:/...

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August of 2025. 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.

Creating datasets like this takes significant time and effort. If you found this dataset useful, a kind upvote would be greatly appreciated!!

This dataset provides a 30 year comprehensive view of global employment, unemployment, and GDP trends from 1991 to 2022. It includes data of approx 183 countries on employment distribution across agriculture, industry, and services sectors, alongside unemployment rates and GDP figures.

What You Can Do with This Dataset: This dataset opens up several possibilities for analysis and exploration. You can study long-term trends in employment, unemployment, and GDP across countries and regions, and visualize how labor distribution has shifted from agriculture to services over the years. It also allows you to examine the impact of major global events, such as the 2008 Financial Crisis and the 2020 COVID-19 pandemic, on economic and employment patterns. Furthermore, the dataset can be used for time-series forecasting and predictive modeling, helping to estimate future employment trends and GDP growth.

Description of columns:

Country Name – The name of the country.

Year – The year of observation (1991–2022).

Employment Sector: Agriculture – Percentage of total employment in agriculture.

Employment Sector: Industry – Percentage of total employment in industry.

Employment Sector: Services – Percentage of total employment in services.

Unemployment Rate – Percentage of the labor force that is unemployed.

GDP (in USD) – Gross Domestic Product of the country (in U.S. dollars).

The statistic shows the unemployment rate in selected world regions between 2019 and 2024. In 2024, the unemployment rate in the Arab World was estimated to have been at 9.46 percent. Unemployment around the globe Following the global financial crisis in 2008, unemployment saw considerable downturns around the globe, most notably in 2009. Unemployment rates, despite experiencing dramatic improvements over the years following the crisis, still have not reached pre-2009 levels for the large majority of countries. The same trend is followed with unemployment among the youth between the ages of 15 and 24, around the world. Many youth experienced layoffs after 2008, mainly because their skills were interchangeable and easily replaceable and as a result, youth unemployment increased, although the situation has improved slightly. The unemployment rate in selected world regions remained relatively stagnant year-over-year from 2012 to 2013, however is expected to improve over the long run based on current employment trends. Economic improvement around the world is primarily evident from growth of real gross domestic product , which has been relatively positive in most countries with the exception of those in the euro area. Growth of real gross domestic product points to economic growth as well as a higher productivity within each country. On the other hand, other indicators of economic health, such as inflation, point to further economic distraught, as inflation is expected to increase globally, most prominently in non-developed countries.

The PWSD is a dataset that can be used to answer questions about various public workforce system programs and how these programs fit in with the overall public workforce system and the economy. It was designed primarily to be used as a tool to understand what has been occurring in the Wagner-Peyser program and contains data from quarter 1 of 1995 through quarter 4 of 2008. Also, it was designed to understand the relationship and flow of participants as they go through the public workforce system. The PWSD can be used to analyze these programs both individually and in combination. The PWSD contains economic variables, Unemployment Insurance System data, and data on programs funded by the Workforce Investment Act and Employment Service. Economic variables included are labor force, employment, unemployment, unemployment rate, and gross domestic product data.

Italy's unemployment rate was 6.6 percent in 2024, the lowest value since 2008. Forecasts suggest that it will stabilize around six percent between 2025 and 2027. The regions with the highest unemployment rates were in the south. Campania, Calabria, and Sicily registered rates from 16.1 percent to 17.8 percent, a large difference when compared to the northern regions, as only 2.9 percent of residents in Trentino-South Tyrol were unemployed, the lowest share nationwide. Young people mostly impacted Figures about the youth unemployment rate show that the financial crisis impacted the young working population significantly. Between 2004 and 2007, the share of unemployed individuals aged 15 to 24 years was declining. Subsequently, between 2008 and 2014, the rate almost doubled. In this case, southern regions had the largest share of young people without a job. In Sicily, Campania, and Calabria, more than one third of the population aged between 15 and 24 years was unemployed in 2022. Women more often unemployed In most of the Italian regions, the share of young unemployed women was higher than that of young males. In both Campania and Sicily, 50 percent of women aged 15 to 24 years did not have a job. Sicily was the region in Italy with the highest rate of unemployed young men. In this region, 51 percent of males were unemployed, almost five times more than in Trentino-South Tyrol, where the unemployment rate of young men stood at around nine percent.

BackgroundData on the potential influence of macroeconomic recessions on maternal diseases during pregnancy are scarce. We aimed to assess potential change in prevalence of pregnancy-induced hypertensive disorders (preeclampsia and gestational hypertension) during the first years of the major national economic recession in Iceland, which started abruptly in October 2008.Methods and FindingsWomen whose pregnancies resulted in live singleton births in Iceland in 2005–2012 constituted the study population (N = 35,211). Data on pregnancy-induced hypertensive disorders were obtained from the Icelandic Medical Birth Register and use of antihypertensive drugs during pregnancy, including β-blockers and calcium channel blockers, from the Icelandic Medicines Register. With the pre-collapse period as reference, we used logistic regression analysis to assess change in pregnancy-induced hypertensive disorders and use of antihypertensives during the first four years after the economic collapse, adjusting for demographic and pregnancy characteristics, taking aggregate economic indicators into account. Compared with the pre-collapse period, we observed an increased prevalence of gestational hypertension in the first year following the economic collapse (2.4% vs. 3.9%; adjusted odds ratio [aOR] 1.47; 95 percent confidence interval [95%CI] 1.13–1.91) but not in the subsequent years. The association disappeared completely when we adjusted for aggregate unemployment rate (aOR 1.04; 95% CI 0.74–1.47). Similarly, there was an increase in prescription fills of β-blockers in the first year following the collapse (1.9% vs.3.1%; aOR 1.43; 95% CI 1.07–1.90), which disappeared after adjusting for aggregate unemployment rate (aOR 1.05; 95% CI 0.72–1.54). No changes were observed for preeclampsia or use of calcium channel blockers between the pre- and post-collapse periods.ConclusionsOur data suggest a transient increased risk of gestational hypertension and use of β-blockers among pregnant women in Iceland in the first and most severe year of the national economic recession.

BackgroundDespite improved health, unemployment has increased among people living with HIV (PlwHIV) over the last decade. However, since the economic recession of 2008, unemployment also increased in the French general population. This paper aimed to determine if the increase in the unemployment rate in the HIV population was higher than that in the French general population.MethodsWe used data from the ANRS-Vespa study, a repeated cross-sectional survey among two national representative samples of PlwHIV followed at hospitals in France in 2003 and 2011. We compared employment and unemployment rates between HIV-infected people (overall and according to period of HIV diagnosis) and the French general population in 2003 and 2011, using multivariate Poisson regressions adjusted for individual sociodemographic characteristics.ResultsThe employment rate among PlwHIV was consistently lower than that in the general population in 2003 and 2011. In contrast, there was a trend of an increasing unemployment rate difference between PlwHIV and the general population: PlwHIV’s unemployment rate was 1.48 (95% confidence interval [CI]: 1.16–1.90) times higher than that of the general population in 2003, versus 1.62 (95% CI: 1.34–1.96) times higher in 2011. This unemployment rate difference was the highest for PlwHIV diagnosed in or after 2008 (adjusted prevalence rate ratio: 2.06; 95% CI: 1.59–2.67).ConclusionsThese results suggest that in time of economic recession, an increasing proportion of PlwHIV may be excluded from the labor market although they are willing to re-enter it. This constitutes a major issue relative to social consequences of chronic disease.

Long-term unemployment surged in the United States in the aftermath of the Global Financial Crisis (2007-2008) and Great Recession (2008-2009). The long-term unemployment rate did not fall below its pre-Great Recession levels until March 2020, which was caused by the surge in the numbers of regular unemployed persons in the U.S., not by a decrease in the absolute number of long-term unemployed. Long-term unemployment is defined as a worker who is seeking work having been unemployed for 27 weeks or longer. This is a serious problem in the United States as many long-term unemployed workers have low levels of educational attainment, have worked in declining industries in the past (such as some primary or manufacturing sectors), or come from minority groups. Active labor market policies are used to address these issues, with schemes such as training and job-sharing schemes aiming to improve the job prospects of the long-term unemployed. The question of whether automation and other structural changes to the economy are causing a secular increase in long-term unemployment is a key issue facing the U.S. in the 21st century.

After the 2008 financial crisis, many Spaniards lost their jobs and the Mediterranean country was left with one of the highest unemployment rates in the European Union. In recent years, at least until the economic crisis provoked by the COVID-19, everything pointed at a slow but sure recovery of the job market in Spain, although the unemployment rate among the younger age groups remained still quite high. In fact, over ** percent of those aged 16-19 did not have a job between 2020 and 2022. This figure goes down to approximately **** percent in ages 20-24 and 15.58 for 25 to 29-year-olds. In stark contrast, youth unemployment figures in the European Union reached **** percent in June 2024. The unemployed rate for under 25s was the highest in Spain, followed by Greece and Italy, all the three Mediterranean countries featuring rates of over ** percent in the younger workforce groups. An ongoing and tough recoverySpanish unemployment rate skyrocketed in 2008, jumping from * percent in the first quarter that year up to ***** percent during the same quarter a year after. The Spanish unemployment crisis hit hardest in 2013, when a record high of ** percent of the population did not have a job. In numbers, that share translates into 6.3 million professionals in 2013 left out of the workforce. The job market initiated a recovery thereafter, making moderate and laborious progress and reducing the numbers to approximately *** million unemployed workers in the first quarter of 2023. The impact of the coronavirus on the Spanish economy caused the unemployment rate to surge again throughout 2020, but still remained far from the figures reached after the financial crisis. The unemployment situation in the European Union Spain was the European country with the highest unemployment rate in August 2023, with **** percent of the labor force out of work. The unemployment rate in Greece, in second place, stood at a rate of **** percent in that timeframe, which is still considerably higher than that of the rest of the European Union.

The statistic shows the unemployment rate in the United Kingdom from 1999 to 2024. The UK's unemployment rate decreased to 4.11 percent in 2024. Unemployment and the economy of the United Kingdom The global financial crisis of 2008 left many nations with high inflation and increasing unemployment rates. The United Kingdom, however, has attempted and successfully lowered the unemployment rate since 2009. The UK is a member of the Commonwealth of Nations, the Council of Europe, the G7, the G8, the G20, NATO, and World Trade Organization. It is therefore one of the biggest and most important economic powers in the world. It consists of England, Scotland, Wales and Northern Ireland, and in 2014, the UK population amounted to over 64 million people. The same year, it reported the sixth largest gross domestic product in the world, reaching more than 2.8 billion U.S. dollars - and with a prospering economy, its GDP is on the upswing: It is estimated that the GDP in the United Kingdom will grow by approximately 3 percent in 2015 in comparison to the previous year. Regarding unemployment, the UK has never been "typically European". Europe's unemployment rate has been relatively high in comparison to other world regions; the unemployment rate in developed countries and the European Union in 2014 was around 7.8 percent. Meanwhile, the global unemployment rate in 2014 was an estimated 5.9 percent. Despite reporting the third highest unemployment rate in major industrial and emerging countries, behind France and India, the unemployment rate in the United Kingdom is much lower than the European Union rate.

County fixed-effects regression estimates for the relationship between unemployment rate and secondary outcomes, 2008–2011.

County fixed-effects regression estimates for the relationship between unemployment rate and LGA births, 2008–2011, stratified by race/ethnicity.

County fixed-effects regression estimates for the relationship between unemployment rate and LGA births in California, 2008–2011.

Financial crises inflict significant human as well as economic hardship. This paper focuses on the human fallout of capital market stress. Financial stress-induced behavioral changes can manifest in higher suicide and murder-suicide rates. We find that these rates also correlate with the Gross Domestic Product (GDP) growth rate (negatively associated; a -0.25% drop [in the rate of change in annual suicides for a +1% change in the independent variable]), unemployment rate (positive link; 0.298% increase), inflation rate (positive link; 0.169% increase in suicide rate levels) and stock market returns adjusted for the risk-free T-Bill rate (negative link; -0.047% drop). Suicides tend to rise during periods of economic turmoil, such as the recent Great Recession of 2008. An analysis of Centers for Disease Control and Prevention (CDC) data of more than 2 million non-natural deaths in the US since 1980 reveals a positive correlation with unemployment levels. We find that suicides and murder-suicides associated with adverse market sentiment lag the initial stressor by up to two years, thus opening a policy window for government/public health intervention to reduce these negative outcomes. Both our models explain about 73 to 76% of the variance in suicide rates and rate of change in suicide rates, and deploy a total of four widely available independent variables (lagged and/or transformed). The results are invariant to the inclusion/exclusion of 2008 data over the 1980–2016 time series, the period of our study. The disconnect between rational decision making, induced by cognitive dissonance and severe financial stress can lead to suboptimal outcomes, not only in the area of investing, but in a direct loss of human capital. No economic system can afford such losses. Finance journal articles focus on monetary alpha, which is the return on a portfolio in excess of the benchmark; we think it is important to be aware of the loss of human capital as a consequence of market instability. This study makes one such an attempt.