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.

The employment and unemployment indicator shows several data points. The first figure is the number of people in the labor force, which includes the number of people who are either working or looking for work. The second two figures, the number of people who are employed and the number of people who are unemployed, are the two subcategories of the labor force. The unemployment rate is a calculation of the number of people who are in the labor force and unemployed as a percentage of the total number of people in the labor force.

The unemployment rate does not include people who are not employed and not in the labor force. This includes adults who are neither working nor looking for work. For example, full-time students may choose not to seek any employment during their college career, and are thus not considered in the unemployment rate. Stay-at-home parents and other caregivers are also considered outside of the labor force, and therefore outside the scope of the unemployment rate.

The unemployment rate is a key economic indicator, and is illustrative of economic conditions in the county at the individual scale.

There are additional considerations to the unemployment rate. Because it does not count those who are outside the labor force, it can exclude individuals who were looking for a job previously, but have since given up. The impact of this on the overall unemployment rate is difficult to quantify, but it is important to note because it shows that no statistic is perfect.

The unemployment rates for Champaign County, the City of Champaign, and the City of Urbana are extremely similar between 2000 and 2023.

All three areas saw a dramatic increase in the unemployment rate between 2006 and 2009. The unemployment rates for all three areas decreased overall between 2010 and 2019. However, the unemployment rate in all three areas rose sharply in 2020 due to the effects of the COVID-19 pandemic. The unemployment rate in all three areas dropped again in 2021 as pandemic restrictions were removed, and were almost back to 2019 rates in 2022. However, the unemployment rate in all three areas rose slightly from 2022 to 2023.

This data is sourced from the Illinois Department of Employment Security’s Local Area Unemployment Statistics (LAUS), and from the U.S. Bureau of Labor Statistics.

Sources: Illinois Department of Employment Security, Local Area Unemployment Statistics (LAUS); U.S. Bureau of Labor Statistics.

This dataset contains non-seasonally adjusted California Unemployment Rate by age groups, from the Current Population Survey (CPS). The age group ranges are as follows; 16-19 ; 20 - 24; 25 - 34; 35 - 44; 45 - 54; 55 -64; 65+. This data is based on a 12-month moving average.

This dataset is invaluable for data science applications due to its granularity and the historical depth it offers. With detailed monthly data on unemployment rates by age groups, data scientists can perform a myriad of analyses:

• Time Series Analysis: Analyzing trends over time to forecast future unemployment rates or identify cyclic patterns.
• Demographic Analysis: Understanding which age groups are most affected by unemployment and how this changes through economic conditions.
• Geographic Analysis: Although the dataset currently focuses on California, if similar data is available for other regions, comparisons can be made to understand regional economic differences.

The dataset can also be merged with other socioeconomic indicators like GDP, education levels, and industry growth metrics to examine broader economic narratives or policy impacts.

Unemployment Rate in India remained unchanged at 5.20 percent in October. This dataset provides - India Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Unemployment Rate in China decreased to 5.10 percent in October from 5.20 percent in September of 2025. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Unemployment Rate in Germany remained unchanged at 6.30 percent in November. This dataset provides the latest reported value for - Germany Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

🌍 This dataset provides global youth unemployment rates for individuals aged 15–24 across all available countries and years, giving a comprehensive view of labor market conditions for young people worldwide.

🔍 Youth unemployment measures young people who are actively looking for work but cannot find a job. According to World Bank standards, students who are not participating in the labor force are not included, while students who are actively job-seeking are counted. Only individuals who are available for work and searching for employment are considered unemployed. This makes the dataset a precise reflection of labor market pressure among young job seekers.

📊 This dataset contains 17,290 rows and 4 columns: Country, CountryCode, Year, and YouthUnemployment. It includes data for all available countries and territories and spans the years 1960–2023. Some values are missing for certain countries and years where data is not available.

💹 Youth unemployment is an important indicator of economic health, social development, and workforce stability. Monitoring these rates helps reveal patterns in youth labor markets, including regional disparities, historical trends, and the effects of economic policies. The dataset allows for cross-country comparisons, time-series analysis, and identification of long-term shifts in youth employment opportunities. It is a valuable resource for researchers, policymakers, educators, and analysts seeking to understand the challenges faced by young populations as they transition from education to the workforce.

The number of people who are unemployed as a percentage of the active labour force (i.e. employed and unemployed).

Unemployment Rate in South Africa decreased to 31.90 percent in the third quarter of 2025 from 33.20 percent in the second quarter of 2025. This dataset provides - South Africa Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Unemployment Rate in France increased to 7.70 percent in the third quarter of 2025 from 7.60 percent in the second quarter of 2025. This dataset provides the latest reported value for - France Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment Rate in Italy decreased to 6 percent in October from 6.20 percent in September of 2025. This dataset provides the latest reported value for - Italy Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment by age and duration (seasonally adjusted). These estimates are sourced from the Labour Force Survey, a survey of households. These are official statistics in development.

Unemployment rate, participation rate, and employment rate by educational attainment, gender and age group, annual.

This dataset contains unemployment rates for the U.S. (1948 - Present) and California (1976 - Present). The unemployment rate represents the number of unemployed as a percentage of the labor force. Labor force data are restricted to people 16 years of age and older, who currently reside in 1 of the 50 states or the District of Columbia, who do not reside in institutions (e.g., penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces. This rate is also defined as the U-3 measure of labor underutilization.

• The dataset is part of Eurostat's collection of population and employment statistics. The code "NAMQ_10_PE" specifically refers to data related to employment and population trends in European countries and likely spans a range of years from 1980 to 2024.

Eurostat provides statistical data on various aspects of the labor market across Europe, including:

• Total Population – The total number of people residing in a particular country or region.
• Labor Force – The portion of the population that is either employed or actively looking for work.
• Employment Rate – The percentage of the working-age population that is employed.
• Unemployment Rate – The percentage of the labor force that is unemployed.
• Youth Employment Rate – The employment rate among young people (typically aged 15-24).

• Sectoral Employment – Employment distribution across various sectors like agriculture, industry, and services.

• **Details of the Dataset **

This dataset would typically cover European Union countries and potentially other European countries (depending on the specific version). The data likely spans multiple years (1980-2024) and provides insights into the demographic and economic changes in these countries over time.

-**Some example insights you might explore:**

Trends in Employment: Analyzing the employment and unemployment rates over time to see how they correlate with major economic events, such as the global financial crisis. Sectoral Shifts: Investigating how the structure of employment has shifted from agriculture and industry to services over the decades. Impact of Population Growth: Exploring how changes in population size relate to changes in employment, labor force participation, and unemployment.

• Link to Eurostat’s Dataset

You can access the Eurostat dataset directly using the following link:

• Eurostat – NAMQ_10_PE Dataset

This link takes you to Eurostat's Labor Force Survey (LFS) data, which includes datasets related to employment, unemployment, and other labor force indicators across EU countries. You can navigate and search for NAMQ_10_PE by using Eurostat’s filtering and search tools. Here, you can download data in various formats such as CSV, Excel, or TSV.

Unemployment Rates by State

Unemployment rates in US states from 1976 to 2018

By Throwback Thursday [source]

About this dataset

This dataset, titled Unemployment by State 1976 - 2018, provides comprehensive information on unemployment rates in each state within the United States from 1976 to 2018. The data was sourced from the Bureau of Labor Statistics, ensuring reliability and relevance.

The dataset includes a variety of columns that provide valuable insights into the unemployment situation in each state during this time period. These columns include:

1. Month and Year: This column represents the specific month and year for which the data was recorded. It enables researchers to analyze trends and changes in unemployment rates over time.

2. State: This categorical column indicates the name of the individual state for which the unemployment data is recorded. It allows users to compare and contrast unemployment rates between different states throughout this time frame.

3. Civilian Population: This numeric column represents the total number of individuals who were not part of the military or institutionalized, and were at least 16 years old during a particular month and year. It serves as a reference point for understanding workforce size when analyzing employment trends.

4. Total Labor Force: This numeric column represents the total number of individuals who were either employed or actively seeking employment during a specific period in a particular state. It provides an accurate measure of workforce participation that can be used alongside other variables for further analysis.

5. Percent of Population: This numeric column reflects what percentage of a state's civilian population made up its total labor force during a given month and year, providing insights into labor market dynamics on a proportional scale.

6. Employed - Total: This numeric column gives an aggregate count representing how many individuals were employed within each state during a certain period, enabling analysis of employment opportunities across states over time.

7. Employed - Percent of Population: Expressed as a percentage, this variable indicates what proportion of each state's civilian population was employed during specific months/years under consideration. It helps measure the efficiency of state economies in utilizing available workforce resources.

8. Unemployed - Total: This numeric column represents the total number of individuals who were unemployed during specific months and years within each state. It serves as a quantifiable indicator of labor market fluctuations and economic challenges faced by different states at various times.

9. Unemployed - Percent of Labor Force: This numeric column reveals the percentage of total labor force members who were unemployed during specific periods, providing an insight into the severity of unemployment rates relative to overall workforce size.

With this comprehensive dataset, researchers can conduct in-depth analyses on unemployment rates across different states

How to use the dataset

This dataset provides comprehensive information on unemployment rates in each state from 1976 to 2018. The data is obtained from the Bureau of Labor Statistics and covers various aspects related to unemployment.

Here is a step-by-step guide on how to effectively utilize this dataset:

• Understand the columns: Familiarize yourself with the different columns present in the dataset. Each column represents a specific attribute related to unemployment rates, such as the month and year of the data recorded, state name, civilian population, total labor force, percentage of population employed or unemployed, and more.

• Filter by state: If you are interested in analyzing specific states, use the State column to filter and extract data for those particular states. This will help you focus your analysis on regions that are most relevant to your research or area of interest.

• Analyze trends over time: Utilize the Month and Year column (excluding dates) for understanding long-term trends in unemployment rates across different states. This can be done by creating line plots or bar charts comparing unemployment rates for multiple states over time.

• Compare employment percentages: The columns Employed - Percent of Population and Unemployed - Percent of Labor Force provide valuable insights into employment trends at both individual state as well as national levels. Use these percentages to compare different states' employment performances against each other or within a specific timeframe.

• Calculate raw numbers: The columns E...

Unemployment Rate in Finland increased to 9.60 percent in October from 9.10 percent in September of 2025. This dataset provides the latest reported value for - Finland Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment numbers and rates for those aged 16 or over. The unemployed population consists of those people out of work, who are actively looking for work and are available to start immediately. Unemployed numbers and rates also shown for equalities groups, by age, sex, ethnic group, and disability. The data are taken from the Labour Force Survey and Annual Population Survey, produced by the Office for National Statistics. The data are produced monthly on a rolling quarterly basis. The month shown is the month the quarter ends on. The International Labour Organization defines unemployed people as: without a job, want a job, have actively sought work in the last 4 weeks and are available to start work in the next 2 weeks, or, out of work, have found a job and are waiting to start it in the next 2 weeks. The figures in this dataset are adjusted to compensate for seasonal variations in employment (seasonally adjusted). Data by equalities groups has a longer time lag and is only available quarterly from the Annual Population Survey, which is not seasonally adjusted. Useful links Click here for Regional labour market statistics from the Office for National Statistics. Click here for Labour market statistics from the Office for National Statistics. See here for GLA Economics' Labour Market Analysis. See here for Economic Inactivity statistics. See here for Employment rates. This dataset is one of the Greater London Authority's measures of Economic Fairness. Click here to find out more.

This dataset provides information on the unemployment rates for different demographic groups in the United States.

The data is sourced from the Economic Policy Institute’s State of Working America Data Library and economic research conducted by the Federal Reserve Bank of St. Louis.

The dataset contains unemployment rates for various age groups, education levels, genders, races, and more.

Interesting Task Ideas:

1. See how unemployment rates have changed for different groups of people over time.
2. Look into how education levels can affect unemployment rates.
3. Compare unemployment rates between different races / genders.
4. Check out how unemployment rates can vary across different age groups and genders.
5. Find out if there's a connection between education levels and unemployment rates within specific racial or gender groups.
6. Explore how economic downturns can impact unemployment rates for specific groups of people.
7. Use the data to create visuals that show how unemployment rates differ across all sorts of factors.

Don't forget to upvote this dataset if you find it useful! 😊💝

Checkout my other datasets

Pension Coverage in the USA

Non-High School Wage Penalty

Health Insurance Coverage in the USA

USA Hispanic-White Wage Gap Dataset

Black-White Wage Gap in the USA Dataset

Column Descriptions

Quarterly estimates for young people (aged 16 to 24 years) who are not in education, employment or training (NEET) in the UK. These are official statistics in development.