In 2023, around 23.5 percent of high school dropouts were unemployed, compared to 15.8 percent of graduates. See the United States unemployment rate and the monthly unemployment rate for further information. Unemployment among high school dropouts and high school graduatesAs seen from the timeline above, high school graduates are generally employed at a higher rate than individuals who had dropped out of high school. Since 2000, the share of high school dropouts to be employed has risen and fallen. Unemployment of high school dropouts reached a low in 2020 at 7.5 percent, falling well below graduates. In 2021, 90.1 percent of the U.S. population who were aged 25 and above had graduated from high school. Unemployment of high school graduates not enrolled in college is much higher than the national unemployment rate in the United States. As of 2021, unemployment in the U.S. was at 5.3 percent, down from a high of 9.6 percent unemployment in 2010, the highest yearly rate in ten years. Nationwide, unemployment is worst among farming, fishing, and forestry occupations, with a rate of 5.1 percent in May 2022, followed by construction and extraction occupations and transportation and material moving occupations. Not only were more than 7.5 percent of high school dropouts unemployed in 2021, but working high school dropouts earned less on average than individuals of any other level of educational attainment. In 2020, mean earnings of individuals who had not graduated from high school were about 26,815 U.S. dollars annually, compared to 39,498 dollars among high school graduates and 73,499 dollars among those with a Bachelor's degree.

Unemployment Rate in Slovenia decreased to 4.40 percent in May from 4.50 percent in April of 2025. This dataset provides the latest reported value for - Slovenia Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In 2020, the number of unemployed people in Romania peaked in June at almost 500 thousand. By July 2021, the number slightly dropped to 420 thousand people.

Initial Jobless Claims in the United States decreased to 217 thousand in the week ending July 19 of 2025 from 221 thousand in the previous week. This dataset provides the latest reported value for - United States Initial Jobless Claims - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Abstract

The Turkish National Employment Agency (ISKUR) provides services for individuals who register as unemployed through 109 offices in 81 provinces. The impact evaluation study was designed by researchers from the World Bank to evaluate the impact of the ISKUR vocational training programs. These programs average 336 hours over three months are available for a wide range of subjects, and are offered by both private and public providers. These training services were provided to over 250,000 registered unemployed in 2011.

The Turkey Vocational Training Program for the Unemployed Impact Evaluation 2010-2012 was the first randomized experiment of a large-scale vocational training program for the general unemployed population (not just for disadvantaged youth) in a developing country. The program was able to trace longer-term impacts up to three years post-training, by complementing a follow-up survey with administrative data from the social security agency. A sample of 5,902 applicants was randomly allocated to treatment and control groups within 130 separate courses. Excess demand among the unemployed for many of the courses offered by ISKUR provided the possibility for an over-subscription design. The evaluation was carried out in collaboration with ISKUR and under the guidance of the Ministry of Labor.

The baseline survey took place between 13 September, 2010, and 31 January, 2011. The follow-up survey was implemented approximately one year after the end of training, between December 27, 2011, and March 5, 2012. It collected data on employment outcomes, as well as individual and household well-being.

Geographic coverage

National

Analysis unit

• Vocational programs' students,
• Vocational programs' staff

Kind of data

Sample survey data [ssd]

Sampling procedure

The selection of provinces for evaluation began with a list of the 39 provinces which had at least two significantly oversubscribed training courses in 2009. These provinces were first stratified by whether they had an unemployment rate above or below the median of 10 percent in 2009. Ten provinces were then randomly selected from each strata with probability proportional to the percentage of individuals trained in 2009. Three additional provinces (Antalya, Gaziantep, and Diyarbakir) were included in the sample at the request of ISKUR because of their importance in representing varying labor market conditions across Turkey. As a result, 23 provinces were selected for inclusion in the evaluation.

Power calculations gave a target sample size of 5,700 individuals. This target was divided among the 23 provinces in proportion to the number of trainees in these provinces in the previous year. Thus Istanbul accounts for 21.8 percent of the sample, Kocaeli, Ankara and Hatay collectively 28 percent, and the remaining half of the sample is split among the other 19 provinces.

The evaluation team worked with regional ISKUR offices to determine the actual courses from within each province to be included in the evaluation. The key criteria used to decide which courses to include in the evaluation were i) the likelihood of the course being oversubscribed (which ensures the most popular types of training, for which there would be demand for further scale-up, are included); ii) inclusion of a diversity of types of training providers to enable comparison of private and public course provision; and iii) course starting and ending dates. The evaluation includes courses that started between October and December 2010 and finished by May 2011 (75 percent had finished by the end of February 2011). The timing of the evaluation was determined by the fact that it tends to be a time of year when people in Turkey are more likely to seek training through ISKUR.

This resulted in a set of 130 evaluation courses spread throughout Turkey, of which 39 were offered by private providers and the remainder were mainly government-operated. Courses were advertised and potential trainees applied to them following standard procedures. Applications were then screened to ensure they met the eligibility criteria of ISKUR and the course provider. Training providers were then asked to select a list of potential trainees that was at least 2.2 times capacity.

The ISKUR Management Information System (MIS) stratified applicants for each course by gender and whether or not they were less than 25 years old. Within these strata, the MIS randomly allocated trainees at the individual level into one of three groups: a treatment group who were selected for training, a control group who were not, and a waitlisted group who the training provider could select into the training if there were drop-outs. Since training providers are paid on the basis of number actually trained, if individuals assigned to treatment drop out of training, providers look to quickly fill in the empty spots.

The final evaluation sample consisted of 5,902 applicants, of which 3,001 were allocated to treatment and 2,901 to control groups. There were 173 individuals who applied to more than one course.

Mode of data collection

Face-to-face [f2f]

Response rate

Baseline: 90% Follow-up: 94%

The total number of unemployed people in Iceland increased during the corona-pandemic, with 13,000 people registered as unemployed in 2020. However, the number dropped to 8,000 in 2022. Furthermore, the impact of the 2008 financial crisis, from which Iceland's economy took a significant hit, can be observed in the graph. The total number of unemployed Icelanders doubled from 2008 to 2009.

In 2023, the unemployment rate in Florida was at 2.9 percent. This is a decrease from the previous year, when the unemployment rate stood at three percent.

The monthly unemployment rate for the United States can be accessed here.

Employment situation in Florida

The unemployment rate in Florida has risen and fallen over the last two decades from a low of 2.5 percent in 2006 to a high of 10.8 percent in 2010. Similarly, the unemployment rate in California reached a low of 4.2 percent in 2019 and a high of 12.5 percent in 2010. As of 2020, there were a total of 8.5 million non-farm employees in Florida, with 1.74 million people working in trade, transportation, and utilities industries and 1.31 million people employed in education and health services. During the same time, the employment to population ratio in the state totaled some 52.9 percent, in comparison to 63.7 percent in Iowa. The fluctuations in unemployment rates can vary due to both domestic and global factors. Locality, skill gap, labor unions, and job openings relative to unemployed numbers can influence monthly unemployment rates, while the outsourcing of jobs by American companies can impact the nation’s availability of jobs.

In Florida, the unemployment benefits program is named the Reemployment Assistance Program to emphasize the job search and reemployment services offered. To be eligible, you must have lost your job through no fault of your own, must be available to work and be actively seeking work, and must have a minimum amount of wages earned during a base period.

Unemployment Rate in Slovakia increased to 4.90 percent in June from 4.80 percent in May of 2025. This dataset provides the latest reported value for - Slovakia Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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 U.S. Department of Labor has been working collaboratively with our state partners to identify several robust strategies that focus on the prevention of overpayments and will yield the highest impact in reducing UI improper payment rates.

Improper Unemployment Insurance benefit payments are most likely to occur when:

Recipients continue to claim benefits after returning to work; Employers or their third party administrators do not submit timely or accurate separation information; and Claimants fail to register with the state's Employment Service (ES) as dictated by state law. Earlier this year, the Department actively intervened to encourage the ten states with the highest Employment Service registration error rates to focus on the issue. Senior DOL officials personally contacted these states to determine specific steps the states would take to address their error rates, and the Department provided targeted technical assistance.

As a result, dramatic progress is being made in this area, with a 23% reduction in improper payments to people who did not register with employment services agencies, including a more than 35% drop in eight states.

The seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In February 2025, the national unemployment rate was at 4.1 percent. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends. U.S. monthly unemployment rate According to the Bureau of Labor Statistics - the principle fact-finding agency for the U.S. Federal Government in labor economics and statistics - unemployment decreased dramatically between 2010 and 2019. This trend of decreasing unemployment followed after a high in 2010 resulting from the 2008 financial crisis. However, after a smaller financial crisis due to the COVID-19 pandemic, unemployment reached 8.1 percent in 2020. As the economy recovered, the unemployment rate fell to 5.3 in 2021, and fell even further in 2022. Additional statistics from the BLS paint an interesting picture of unemployment in the United States. In November 2023, the states with the highest (seasonally adjusted) unemployment rate were the Nevada and the District of Columbia. Unemployment was the lowest in Maryland, at 1.8 percent. Workers in the agricultural and related industries suffered the highest unemployment rate of any industry at seven percent in December 2023.

Key information about China Unemployment Rate

• China Unemployment Rate remained the same at 5.10% in Dec 2024, from the previously reported figure of 5.10% in Sep 2024.
• China Unemployment Rate is updated quarterly, available from Mar 2017 to Dec 2024, with an average rate of 5.11%.
• The data reached an all-time high of 5.90% in Mar 2020 and a record low of 4.80% in Jun 2018.
• The data is reported by reported by CEIC Data.
• In the latest reports, China Population reached 1,408.28 million people in Dec 2024.

Graph and download economic data for Initial Claims (ICSA) from 1967-01-07 to 2025-07-26 about initial claims, headline figure, and USA.

Italy's unemployment rate reached 7.6 percent in 2023, the lowest value since 2009. Forecasts suggest that it will stabilize around 7.5 percent between 2024 and 2026. The regions with the highest unemployment rates were in the south. Campania, Calabria, and Sicily registered rates from 15.8 percent to 17.4 percent, a large difference when compared to the northern regions, as only 2.8 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 those 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.

In November 2024, the unemployment rate in Russia exceeded two percent, having stayed on the same level as in the previous month. By comparison, 3.7 percent of the workforce aged 15 years and older nationwide were unemployed in the corresponding period two years prior. In 2022, the annual unemployment rate in Russia was measured at approximately 3.2 percent. Causes of unemployment in Russia The country’s labor market situation deteriorated in the summer of 2020 due to the coronavirus (COVID-19) pandemic. The number of jobs contributed by the travel and tourism industry decreased from 3.3 million to 3 million between 2019 and 2022, though the figures started to recuperate again in 2023. Furthermore, Russia has witnessed an exodus of companies due to the invasion of Ukraine in 2022. Leading international companies like McDonald’s, Renault Group, and PepsiCo suspended their operations in the country, thus putting thousands of employees in Russia at risk of unemployment. Russia’s unemployment in global perspective Russia’s unemployment rate is lower than in most other G20 countries. This is largely due to a low fertility rate in the 1990s which has resulted in a demographic dip and left the country with fewer young workers actively seeking employment. Moreover, Russia’s weak social protection, as expressed by unemployment benefits lower than in most European countries, encourages people to find a new job rapidly. An estimated 30 million Russians were not officially registered as unemployed by working in the shadow economy as of 2021.

In 2024, the youth unemployment rate in Algeria stood at 29.76 percent. Between 1991 and 2024, the figure dropped by 3.16 percentage points, though the decline followed an uneven course rather than a steady trajectory.

The study tried to evaluate the performance of experimental educational projects, supposed to fill the gap between lower vocational training ( LBO ) and lower secondary education ( MAVO ) on the one side and middle vocational training ( MBO ) or skilled employment on the other side. These projects are referred to as KMBO, Kort Middelbaar Beroeps Onderwijs ( short intermediate vocational training/ a 2-year full-time curriculum for the age- group of 16-18 ) and BBO, Beroeps Begeleidend Onderwijs ( job coaching education/ a part-time vocational training for youth already employed ) for comparison. Main criteria for evaluation were: 1. selection of pupils: do the projects attract and select the people they were set up for? 2. the fit between the education or training offered and labour market demands. A four point panel survey design was used in order to monitor school career and job career of 961 pupils, split in 2 year-groups ( cohorts ). Measurements took place in september 1981 ( N=961 ), may/june 1982 ( N=63, drop-outs only ), september/october 1982 ( N=742 ) and september-november 1983 ( N=709 ). The archived file combines all these measurements. Topics: motivation for choosing this education / contacts with teachers and fellow pupils / attractiveness of, usefulness of and proficiency in various school-subjects / satisfaction with school results / school marks / training / work experience / job career / applications for job / registration for employment / job motivation / detailed data on current job if employed / expectations regarding unemployment, change of work / evaluation of current job, career possibilities, usefulness of current or past training or education at work / detailed data on training / important factors in choosing a job / opinions on unemployment, being unemployed / school-perception / drop out / reasons for dropping out / future plans regarding education or work / current pay / expected income in 2 years / grades, diploma's, certificates. Background variables: basic characteristics/ household characteristics/ characteristics of parental family/household/ occupation/employment/ income/capital assets/ education

The study tried to evaluate the performance of experimental educational projects, supposed to fill the gap between lower vocational training ( LBO ) and lower secondary education ( MAVO ) on the one side and middle vocational training ( MBO ) or skilled employment on the other side. These projects are referred to as KMBO, Kort Middelbaar Beroeps Onderwijs ( short intermediate vocational training/ a 2-year full-time curriculum for the age- group of 16-18 ) and BBO, Beroeps Begeleidend Onderwijs ( job coaching education/ a part-time vocational training for youth already employed ) for comparison. Main criteria for evaluation were: 1. selection of pupils: do the projects attract and select the people they were set up for? 2. the fit between the education or training offered and labour market demands. A four point panel survey design was used in order to monitor school career and job career of 961 pupils, split in 2 year-groups ( cohorts ). Measurements took place in september 1981 ( N=961 ), may/june 1982 ( N=63, drop-outs only ), september/october 1982 ( N=742 ) and september-november 1983 ( N=709 ). The archived file combines all these measurements. Topics: motivation for choosing this education / contacts with teachers and fellow pupils / attractiveness of, usefulness of and proficiency in various school-subjects / satisfaction with school results / school marks / training / work experience / job career / applications for job / registration for employment / job motivation / detailed data on current job if employed / expectations regarding unemployment, change of work / evaluation of current job, career possibilities, usefulness of current or past training or education at work / detailed data on training / important factors in choosing a job / opinions on unemployment, being unemployed / school-perception / drop out / reasons for dropping out / future plans regarding education or work / current pay / expected income in 2 years / grades, diploma's, certificates. Background variables: basic characteristics/ household characteristics/ characteristics of parental family/household/ occupation/employment/ income/capital assets/ education

Geographic coverage

National

Universe

The theoretical population consisted of all households residing in Aruba. For practical reasons, the institutional households (prison, convent, etc.) were excluded from the operational population. Within each selected household all persons aged 15 years and older were interviewed.

Kind of data

Sample survey data [ssd]

Sampling procedure

In order to maximize the reliability of the estimates while keeping collection costs at a minimum standard sampling techniques were used. The number of households sampled was about 2,016 and all household members aged 15 years and older were interviewed. Chosen in this way accurate estimations could be made of the population characteristics of the labor market. We made use of a random systematic sample for the Labor Force Survey. In Aruba virtually all houses are connected to the water supply system. Therefore, a list of all addresses registered at the Water Company (WEB) was used as sampling frame.

According to the WEB the total number of connected households amounted to 22,629 at the time of the survey, a sample of 2,016 households would imply a sampling fraction of 8.91 percent. Several tests were performed to see what the effect of the chosen sample size would be at various levels of, for instance, unemployment. As unemployment is low in Aruba, a very large sample size is needed to make accurate estimations of the unemployment rate. In the case of a sample size of 2,016 households and a presupposed level of unemployment in the population of 6 percent, the sample estimation at a significance level of 5 percent, would lie between 5.7 and 6.3 percent. If more than one household was living at a certain address, each of the households was visited separately. Therefore, even if some of the addresses would drop out, at least 2,016 households would be in the study.

Mode of data collection

Face-to-face [f2f]

Research instrument

The data for the labor force survey were collected on two forms: - the Household Form - the Person Form

The purpose of the household form was twofold: a) to collect information on the composition of the household; and b) to serve as a tool to monitor the progress of the fieldwork.

Information was collected on whether or not the household cooperated in the survey; the reason why the household could not be reached; the number of persons who were interviewed, etc.. If several households were living at the same address, a separate household form was used for each of the households. An interview was conducted with each person living in the household who, at the time of the interview, was aged 15 years or older. The information on each such person was noted down on the person form. We divided the person form into a number of modules. Some modules were restricted to persons with certain characteristics.

The follow ing modules were included in the person form: A. Personal characteristics B. Education C. Characteristics of persons who are employed D. Characteristics of unemployed persons E. Migration and characteristics of foreign employees

Response rate

Of all households reached, only 7.0 percent refused to cooperate. In 5.5 percent of the households, some persons agreed to cooperate while others refused. A total of 146 persons refused to cooperate in households where other persons agreed to provide information.

The statistic depicts the unemployment rate in Mexico from 1999 to 2024. In 2024, Mexico's unemployment rate was around 2.71 percent. Mexico's population Mexico is the third largest country in North America. Mexico’s economy has developed and improved over the years, partially due to a better relationship with the United States. Mexico’s total population was estimated to amount to around 120 million people in 2014, with the majority, i.e. more than 60 percent, having a Mestizo background. Despite a remarkably high migration flow between Mexico and the United States, with more than 11.5 million Mexican migrants living in the United States, Mexico’s population is still growing at a constant rate. In addition, life expectancy in Mexico is increasing, pointing towards an improvement of living conditions. However, the high total population numbers affect the population density. In 2012, there were more than 62 inhabitants per square kilometer registered, ten more than a decade ago. This trend is most likely to increase but not worriyngly so, since Mexico is still far from being one of the countries with the highest population density . Among the Mexican metropolises, Mexico City has the highest number of residents by far.