As of February 2023, around **** percent of recent college graduates who majored in criminal justice were underemployed in the United States. Of those who majored in performing arts, about ** percent were underemployed.

As of February 2023, **** percent of recent college graduates who majored in Fine Arts were unemployed in the United States. *** percent of recent college graduates who majored in philosophy were also unemployed.

This statistic shows college majors with the highest unemployment rates in the United States between 2009 and 2012. The rate of unemployment for students with an international business major stood at 12.3 percent in 2012.

Data on labour force status including employment, unemployment and labour force participation rates by major field of study, highest level of education, location of study compared with location of residence, age and gender.

Ecology and environmental sciences was the least employable degree in Mexico as of 2024, as nearly one out of every ten graduates from those studies were unemployed that year. Mining and extraction followed as the second university degree, with the largest unemployment rate of eight.

In April 2025, the agriculture and related private wage and salary workers industry had the highest unemployment rate in the United States, at eight percent. In comparison, government workers had the lowest unemployment rate, at 1.8 percent. The average for all industries was 3.9 percent. U.S. unemployment There are several factors that impact unemployment, as it fluctuates with the state of the economy. Unfortunately, the forecasted unemployment rate in the United States is expected to increase as we head into the latter half of the decade. Those with a bachelor’s degree or higher saw the lowest unemployment rate from 1992 to 2022 in the United States, which is attributed to the fact that higher levels of education are seen as more desirable in the workforce. Nevada unemployment Nevada is one of the states with the highest unemployment rates in the country and Vermont typically has one of the lowest unemployment rates. These are seasonally adjusted rates, which means that seasonal factors such as holiday periods and weather events that influence employment periods are removed. Nevada's economy consists of industries that are currently suffering high unemployment rates such as tourism. As of May 2023, about 5.4 percent of Nevada's population was unemployed, possibly due to the lingering impact of the coronavirus pandemic.

Unemployment Rate in Major County, OK was 3.00% in January of 2024, according to the United States Federal Reserve. Historically, Unemployment Rate in Major County, OK reached a record high of 4.80 in January of 2010 and a record low of 2.00 in January of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Major County, OK - last updated from the United States Federal Reserve on June of 2025.

Graph and download economic data for Unemployment Level - High School Graduates, No College, 25 Yrs. & over (LNS13027660) from Jan 1992 to May 2025 about secondary schooling, secondary, 25 years +, tertiary schooling, education, household survey, unemployment, and USA.

Unemployment rates of 25- to 29-year-olds, by educational attainment, Canada and jurisdictions. This table is included in Section E: Transitions and outcomes: Labour market outcomes of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Graph and download economic data for Unemployment Rate - College Graduates - Master's Degree, 25 years and over (CGMD25O) from Jan 2000 to Jun 2025 about master's degree, 25 years +, tertiary schooling, education, unemployment, rate, and USA.

Employment income (in 2019 and 2020) by detailed major field of study and highest certificate, diploma or degree, including work activity (full time full year, part time full year, or part year).

Regional unemployment rates used by the Employment Insurance program, by effective date, current month.

In 2023, South Africa had the highest unemployment rate in the world, at 32.1 percent. Of the 10 countries with the highest unemployment rates, six were in Sub-Saharan Africa. What exactly is unemployment? The unemployment rate is the number of people in the workforce currently looking for jobs but not working. This number does not include students and retirees, as they are not looking for work, nor does it include people who have given up on finding a job (known as discouraged workers). Comparing international unemployment rates can be problematic, however, as different countries use different methodologies when classifying unemployment. For example, Niger records the third lowest unemployment rate in the world, despite often being listed as the least developed country worldwide - this is because the majority of the population engage in subsistence farming, with very little opportunity for paid employment. Causes of unemployment in less developed countries A major driver in unemployment in these countries is conflict. In particular, internally displaced persons (IDPs) want to work, but moving to another part of the country disrupts their business network and moves them into a local economy with different labor demand. Countries with low levels of economic development, as roughly indicated by a low GDP per capita, often have fewer labor market opportunities, leading to high unemployment rates.

The statistic shows the unemployment rate in the United Kingdom from 1999 to 2023. The UK's unemployment rate decreased to 3.98 percent in 2023. 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.

Philippines Unemployed: Grade Completed: College: Undergraduate data was reported at 416.000 Person th in Jul 2018. This records an increase from the previous number of 382.000 Person th for Apr 2018. Philippines Unemployed: Grade Completed: College: Undergraduate data is updated quarterly, averaging 539.000 Person th from Jul 2003 (Median) to Jul 2018, with 61 observations. The data reached an all-time high of 951.000 Person th in Apr 2004 and a record low of 280.000 Person th in Oct 2016. Philippines Unemployed: Grade Completed: College: Undergraduate data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G015: Labour Force Survey: Unemployment: by Region, Age and Class.

Data on labour force status including employment, unemployment and labour force participation rates by major field of study, highest level of education, location of study compared with location of residence, age and gender.

The Labour Force Survey (LFS) is a household survey carried out monthly by Statistics Canada. Since its inception in 1945, the objectives of the LFS have been to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these categories. Data from the survey provide information on major labour market trends such as shifts in employment across industrial sectors, hours worked, labour force participation and unemployment rates, employment including the self-employed, full and part-time employment, and unemployment. It publishes monthly standard labour market indicators such as the unemployment rate, the employment rate and the participation rate. The LFS is a major source of information on the personal characteristics of the working-age population, including age, sex, marital status, educational attainment, and family characteristics. Employment estimates include detailed breakdowns by demographic characteristics, industry and occupation,job tenure, and usual and actual hours worked. This dataset is designed to provide the user with historical information from the Labour Force Survey. The tables included are monthly and annual, with some dating back to 1976. Most tables are available by province as well as nationally. Demographic, industry, occupation and other indicators are presented in tables derived from the LFS data. The information generated by the survey has expanded considerably over the years with a major redesign of the survey content in 1976 and again in 1997, and provides a rich and detailed picture of the Canadian labour market. Some changes to the Labour Force Survey (LFS) were introduced which affect data back to 1987. There are three reasons for this revision: The revision enables the use of improved population benchmarks in the LFS estimation process. These improved benchmarks provide better information on the number of non-permanent residents. There are changes to the data for the public and private sectors from 1987 to 1999. In the past, the data on the public and private sectors for this period were based on an old definition of the public sector. The revised data better reflects the current public sector definition, and therefore result in a longer time series for analysis. The geographic coding of several small Census Agglomerations (CA) has been updated historically from 1996 urban centre boundaries to 2001 CA boundaries. This affects data from January 1987 to December 2004. It is important to note that the changes to almost all estimates are very minor, with the exception of the public sector series and some associated industries from 1987 to 1999. Rates of unemployment, employment and participation are essentially unchanged, as are all key labour mark et trends. The article titled Improvements in 2006 to the LFS (also under the LFS Documentation button) provides an overview of the effect of these changes on the estimates. The seasonally-adjusted tables have been revised back three years (beginning with January 2004) based on the latest seasonal output.

In May 2024, about 4.5 percent of recent college graduates were unemployed in the United States. This was a significant decrease from September 2020, when the unemployment rate among recent college graduates was at nine percent.

Abstract

Statistical information on all aspects of the population is vital for the design, implementation, monitoring and evaluation of economic and social development plan and policy issues. Labor force survey is one of the most important sources of data for assessing the role of the population of the country in the economic and social development process. It is useful to indicate the extent of available and unutilized human resources that must be absorbed by the national economy to ensure full employment and economic wellbeing of the population. Statistics on the labor force further present the economic activity status and its relationship to other social and economic characteristics of the population. Seasonal and other variations as well as changes over time in the size, distribution, and characteristics of employed and unemployed population can be monitored using up-to-date information from labor force surveys. It serves as an input for assessing the achievements of the Millennium Development Goals (MDGs). Furthermore, labor force data is also useful as a springboard for monitoring and evaluation of the five years growth and transformation plan of the country.

Geographic coverage

The 2012 Urban Employment and Unemployment Survey (UEUS) covered all urban parts of the country except three zones of Afar, Six zones of Somali, where the residents are pastoralists.

Analysis unit

• Households
• Individuals

Universe

This survey follows household approach and covers households residing in conventional households and thus, population residing in the collective quarters such as universities/colleges, hotel/hostel, monasteries, and homeless population etc., were not covered by this survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

The list of households obtained from the 2007 population and housing census was used to select EAs. A fresh list of households from each EA was prepared at the beginning of the survey period. The list was then used as a frame to select 30 households from sample EAs.

The country was divided into two broad categories - major urban centers and other urban center categories.

Category I: In this category all regional capitals and five other major urban centers that have a high population size as compared to others were included. Each urban center in this category was considered as a reporting level. This category has a total of 16 reporting levels. To select the sample, a stratified two-stage cluster sample design was implemented. The primary sampling units were EAs of each reporting level.

Category II: Urban centers other than those under category I were grouped into this category. A stratified three stage cluster sample design was adopted to select samples from this category. The primary sampling units were urban centers and the second stage sampling units were EAs.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire was organized into seven sections. Section 1 - Area identification of the selected household Section 2 - Particulars of household members Section 3 - Economic activity status during the last seven days Section 4 - Unemployment rate and characteristics of unemployed persons Section 5 - Economic activity status the population during the last six months Section 6 - Employment in the informal sector of Employment Section 7 - Economic activity of children aged 5-17 years

A structured questionnaire was used to solicit the required data in the survey. The draft questionnaire was tested by undertaking a pretest in selected kebeles (lower administrative unit) in Addis Ababa. Based on the pretest, the content, logical flow, layout and presentation of the questionnaire was amended. The questionnaire used in the field for data collection was prepared in Amharic language. Most questions have pre coded answers and column numbers were assigned for each question.

Cleaning operations

The filled-in questionnaires that were retrieved from the field were first subjected to manual editing and coding. During the fieldwork the field supervisors and the heads of branch statistical offices have checked the filled-in questionnaires and carried out some editing. However, the major editing and coding operation was carried out at the head office. All the edited questionnaires were again fully verified and checked for consistency before they were submitted to the data entry by the subject matter experts.

Using the computer edit specifications prepared earlier for this purpose, the entered data were checked for consistencies and then computer editing, or data cleaning was made by referring back to the filled-in questionnaire. This is an important part of data processing operation in attaining the required level of data quality. Consistency checks and re-checks were also made based on frequency and tabulation results. This was done by senior programmers using CSPro software in collaboration with the senior subject experts from Manpower Statistics Team of the CSA.

Response rate

Response rate was 99.68%.

A slanted-L curve is well-suited to represent the non-linearity of the celebrated Phillips curve. We show this using cross-country data of major industrialized economies since 2009, including the inflationary surge of the 2020s. At high unemployment rates, an increase in demand reduces unemployment without creating strong inflationary pressures. Meanwhile, supply shocks have a muted effect. At sufficiently low unemployment, there is a labor shortage, so that the economy is at full capacity. Then, higher demand is inflationary, and supply shocks are amplified. We derive a model of a slanted-L curve.