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.

Unemployment Rate in China increased to 5.40 percent in February from 5.20 percent in January of 2025. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

This dataset provides the Unemployment Rate (UR) in percentage, calculated according to the usual principal status (ps) for each State and Union Territory in India. The data is sourced from the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation since 2020-21. It highlights unemployment trends across regions and all age groups. Note: For 2023-24, Chandigarh's entire area has been considered as urban for this survey.

Unemployment Rate in Morocco decreased to 13.30 percent in the fourth quarter of 2024 from 13.60 percent in the third quarter of 2024. This dataset provides - Morocco Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Unemployment Rate in South Africa decreased to 31.90 percent in the fourth quarter of 2024 from 32.10 percent in the third quarter of 2024. This dataset provides - South Africa Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The unemployment rate is the number of unemployed persons as a percentage of the labour force (the total number of people employed and unemployed) based on International Labour Office (ILO) definition. Unemployed persons comprise persons aged 15 to 74 who fulfil all three following conditions: - are without work during the reference week; - are available to start work within the next two weeks; - have been actively seeking work in the past four weeks or have already found a job to start within the next three months. The indicator monitors high and persistent rates of unemployment and it helps to better understand the potential severity of macroeconomic imbalances. It points towards a potential misallocation of resources and general lack of adjustment capacity in the economy. The MIP scoreboard indicator is the three-year backward moving average, i.e. the data for year Y is the arithmetic average of data for years Y, Y-1 and Y-2. It is calculated: [URt+URt-1+URt-2]/3. The indicative threshold is 10%. The data source is the quarterly EU Labour Force Survey (EU LFS). The EU LFS covers the resident population in private households.

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in US unemployment insurance in the pandemic and beyond, PIIE Policy Brief 20-10. If you use the data, please cite as: Furman, Jason. (2020). US unemployment insurance in the pandemic and beyond. PIIE Policy Brief 20-10. Peterson Institute for International Economics.

ANOFM calculates and publishes statistical indicators on registered unemployment, according to the legal provisions. The number of registered unemployed represents both the unemployed compensated (unemployed persons with experience in work and unemployed unemployed inexperienced unemployment benefits/education graduates) and the unemployed unemployed (without unemployment benefit) and are based on the data from the primary documents and the records from the database of the Territorial Employment Agencies. Represents the stock at the end of the reference month. The unemployment rate recorded is determined as the ratio between the number of unemployed registered with the county employment agencies and the municipality of Bucharest (allowed and unpaid) at the end of the reference month and the civil active population. The civilian active population represents the potential labour supply and employment rate of the population comprising the civilian-occupied population and the registered unemployed. The indicator is determined annually by the National Institute of Statistics through the labour force balance at the level of the country, development region and county. The total number of registered unemployed is structured on: sexes (women, men); type of compensation (allowed, non-allowed); education level (without studies, primary education, secondary education, secondary education, post-iceal education, vocational education/arts and crafts, university education); age groups (under 25 years, 25-29 years, 30-39 years, 40-49 years, 50-55 years, over 55 years). — residential averages (urban, rural).ANOFM calculates and publishes statistical indicators on registered unemployment, according to the legal provisions.

This table contains employment and unemployment rates (number of people who are employed or unemployed divided by the total number of people in the labour force) for the age groups 15 - 25, 25 - 44, 45 - 64 calculated from the 2011 Census for the AURIN Social Indicators project.

This tool shows the rate of S&S citations and orders per 100 inspection hours during a certain time period. This tool is available after the initial Mine selection.

The NEA calculates and makes public the statistical indicators on registered unemployment, according to the legal provisions. The number of registered unemployed persons represents both the unemployed persons receiving benefits with work experience and the unemployed persons receiving unemployment benefits without work experience/ education graduates) and the unemployed persons not receiving benefits (without benefiting from unemployment benefits) and is calculated on the basis of the data from the primary documents and the records from the database of the territorial employment agencies. Represents the stock at the end of the reference month. The registered unemployment rate is determined as the ratio between the number of unemployed persons registered with the employment agencies in the county and the municipality of Bucharest (remunerated and unremunerated) at the end of the reference month and the active civilian population. The civilian active population represents the potential labour supply and employment of the population comprising the civilian employed population and the registered unemployed. The indicator is determined annually by the National Institute of Statistics through the labour balance at country, development region and county level. The total number of registered unemployed is structured by: - sexes (women, men); - type of compensation (remunerated, unremunerated); - level of education (without education, primary education, secondary education, secondary education, post-secondary education, vocational education/arts and crafts, university education); age groups (under 25 years, 25-29 years, 30-39 years, 40-49 years, 50-55 years, over 55 years). - Residential environments (urban, rural). The NEA calculates and makes public the statistical indicators on registered unemployment, according to the legal provisions.

ANOFM calculates and publishes statistical indicators on registered unemployment, according to the legal provisions. Number of registered unemployed represents both the unemployed compensated (unemployed beneficiaries of benefits with experience in work and unemployed beneficiaries of unemployment benefit without work experience/educational graduates) and the unemployed unpaid (without unemployment benefit) and are based on the data from the primary documents and records from the database of the territorial employment agencies. Represents the stock at the end of the reference month. The unemployment rate is determined as a ratio between the number of unemployed registered with the county and Bucharest employment agencies (allowed and unpaid) at the end of the reference month and the civilly active population. The active civilian population represents the potential labour supply and employment of the population comprising the civil employed population and the registered unemployed. The indicator is determined annually by the National Institute of Statistics by the labour force balance at the level of the country, development region and county. The unemployment rate is calculated with the civil active population as of 1 January 2017. The total number of unemployed registered is structured on: sexes (women, men); — type of compensation (allowed, not paid); level of education (without studies, primary education, secondary education, secondary education, post-secondary education, vocational education/arts and trades, university education); age groups (under 25 years, 25-29 years, 30-39 years, 40-49 years, 50-55 years, over 55 years). it’s the first time I've ever heard about it, but I'm not sure I'm going to be able to do it. Number of registered unemployed represents both the unemployed compensated (unemployed beneficiaries of benefits with experience in work and unemployed beneficiaries of unemployment benefit without work experience/educational graduates) and the unemployed unpaid (without unemployment benefit) and are based on the data from the primary documents and records from the database of the territorial employment agencies. Represents the stock at the end of the reference month. The unemployment rate is determined as a ratio between the number of unemployed registered with the county and Bucharest employment agencies (allowed and unpaid) at the end of the reference month and the civilly active population. The active civilian population represents the potential labour supply and employment of the population comprising the civil employed population and the registered unemployed. The indicator is determined annually by the National Institute of Statistics by the labour force balance at the level of the country, development region and county. The unemployment rate is calculated with the civil active population as of 1 January 2017. The total number of unemployed registered is structured on: sexes (women, men); — type of compensation (allowed, not paid); level of education (without studies, primary education, secondary education, secondary education, post-secondary education, vocational education/arts and trades, university education); age groups (under 25 years, 25-29 years, 30-39 years, 40-49 years, 50-55 years, over 55 years). averages of residence (urban, rural).

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

This paper analyses the risk of unemployment, unemployment duration, and the risk of longterm unemployment immediately after apprenticeship graduation. Unemployed apprenticeship graduates constitute a large share of unemployed youth in Germany but unemployment incidence within this group is unequally distributed. Our paper extends previous research in three dimensions. It shows that (i) individual productivity assessment of the training firm, (ii) initial selection into high reputation training firms and occupations, and (iii) adverse selection of employer moving graduates are correlated with unemployment after apprenticeship graduation. The empirical evidence is obtained from the second longitudinal version of the linked employer-employee panel data from the IAB (LIAB). This large data set allows us to calculate the exact unemployment spell length of apprenticeship graduates. In addition, we can include individual, employer, occupation as well as industrial relation characteristics before and after apprenticeship graduation into our list of explanatory variables for unemployment risk. We show in several robustness checks that our results are remarkably stable when we vary the employees included in the sample, the definition of unemployment, and the list of explanatory variables.

Full edition for scientific use. Since 1983 labour force surveys (LFS) are conducted annually in all European Union (EU) member states. The LFS serve as a basis for internationally compatible (in terms of definition and survey method) data on employment and unemployment for the European Commission. In Austria the LFS is conducted in full annually. The chosen month therefore is March because in this month the Microcensus-quarterly-survey which is most suitable in terms of scheduling for the LFS is performed. Central questions for the assessment of the number of employed and unemployed persons (and as a result for the calculation of the unemployment rate according to international standards) are in addition (since 1994) asked quarterly in the Microcensus standard survey. The survey conducted in March always relates to the week before the interview and includes the whole population, which means everybody who has their main residence in Austria. Data for persons not found have to be added via a substitution method so that results for the whole population can be provided. In Austria (as well as in several other states) the LFS is only conducted among the population in private households; people who live in institutions (retirement homes, boarding homes, etc) are not included in the survey. These are topics of the LFS: -> immigrants with and without the Austrian citizenship (4 questions) -> features of the first job (21 questions) -> statements on part-time jobs (6 questions) -> previous employments of unemployed persons (7 questions) -> job-seeking (13 questions) -> situation of unemployed persons (3 questions) -> school and professional education (9 questions) -> situation one year previous to the survey (7 questions). Furthermore, there are questions on the demographic background. The questions have remained more or less the same over the years. The only questions that have been changed slightly were those on education. Missing information is substituted with information from persons with similar socio-demographic variables (imputation), so that there are no unknown cases.

The youth unemployment rate is calculated by dividing the number of unemployed persons aged 15 to 24 by the total active population of the same age group. The indicator is based on the EU Labour Force Survey.

Statewide VA data on the demographic and economic characteristics of the labor force are published on an annual-average basis from the Current Population Survey (CPS), the sample survey of households used to calculate the U.S. unemployment rate. For VA state ,employment status data are tabulated for 67 sex, race, Hispanic or Latino ethnicity, marital status, and detailed age categories and evaluated against a minimum base, calculated to reflect an expected maximum coefficient of variation (CV) of 50 percent, to determine reliability for publication

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Should We Reject the Natural Rate Hypothesis?, PIIE Working Paper 17-14. If you use the data, please cite as: Blanchard, Olivier. (2017). Should We Reject the Natural Rate Hypothesis?. PIIE Working Paper 17-14. Peterson Institute for International Economics.

Unemployment Rate in Kenya increased to 5.70 percent in the fourth quarter of 2023 from 4.90 percent in the fourth quarter of 2022. This dataset provides - Kenya Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.