Unemployment Rate in the United States decreased to 4.10 percent in June from 4.20 percent in May 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 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.

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.

Unemployment Rate in Philippines decreased to 3.90 percent in May from 4.10 percent in April of 2025. This dataset provides - Philippines Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Unemployment Rate in South Africa increased to 32.90 percent in the first quarter of 2025 from 31.90 percent in the fourth quarter of 2024. This dataset provides - South Africa Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The youth unemployment rate in Brazil saw no significant changes in 2024 in comparison to the previous year 2023 and remained at around 17.95 percent. The youth unemployment rate refers to the share of the economically active population aged 15 to 24 currently without work but in search of employment. The youth unemployment rate does not include economically inactive persons such as the long-term unemployed or full-time students.Find more statistics on other topics about Brazil with key insights such as labor participation rate among the total population aged between 15 and 64.

Early studies of business cycles argued that contractions in economic activity were briefer (shorter) and more violent (rapid) than expansions. This paper systematically investigates this claim and in the process discovers a robust new business cycle fact: expansions and contractions in output are equally brief and violent but contractions in employment are briefer and more violent than expansions. The difference arises because employment typically lags output around peaks but both series roughly coincide in their troughs. We discuss the performance of existing business cycle models in accounting for this fact, and conclude that none can fully account for it. We then show that a simple model that combines three familiar ingredients--labor hoarding, a choice of when to scrap old technologies, and job training or job search--can account for the business cycle fact.

According to the source, in the third quarter of 2023 the unemployment rate of Extremadura in Spain was 16.5 percent, thus recording almost one percent point more than during the same period of 2022.

The experts feared that social distancing as the foremost measure to prevent the further expansion of the coronavirus (COVID-19) pandemic, would lead to job cuts in Russia in 2020. Thus, the most feasible employment reduction rate of between 10 and 15 percent could leave from five to eight million people without a job countrywide.

Coronavirus impact on the Russian economy 

The coronavirus-induced crisis, which was enhanced by the drop of crude oil prices had a drastic impact on the Russian economy, the whole effect of which is yet to be seen in the coming months and years. The expected GDP loss for 2020 in Russia was estimated at around four percent, considering that the critical phase of the crisis and the negative manifestations would affect only 2020. For scenarios with a longer period of COVID-19 impact, the forecast was less optimistic. Shopping malls were the most affected businesses in the Russian capital during the lockdown.

 Coronavirus (COVID-19) outbreak in Russia   

While there were some cases of coronavirus reported in January 2020 in the Russian territory, outbreak of the disease in the country started a bit later, in March 2020. Up to date, there were roughly 4.4 million cases of coronavirus confirmed countrywide, roughly three fourths of which has already recovered, and over 27 thousand died as a result of COVID-19. The city of Moscow has been accounting for the highest number of reported cases in the country since the beginning of the pandemic.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

In 2024, the unemployment rate in Pakistan was at approximately 5.47 percent, a slight increase from 5.41 percent the previous year. Unemployment as an economic key indicatorThe unemployment rate of a country represents the share of people without a job in the country’s labor force, i.e. unemployed persons among those who are able and/or willing to work. Among other factors, it takes population growth into account, and thus increases in the labor force, as well as the age of the population. A high unemployment rate usually indicates economic troubles, with a popular example being Greece, where the unemployment rate skyrocketed from 7.76 percent in 2008 to 27.5 percent as a result of the Great Recession. From plowshares to keyboardsWhile Pakistan’s unemployment slumped below the one percent mark in 2010, it is now on the rise again and currently standing at just over four percent. Traditionally, most Pakistanis work in agriculture however, the lion’s share of the country’s GDP is generated by services, like tourism, banking, and IT. While agriculture is still important for Pakistan’s economy, the services sector is gaining ground in the country, and more and more people are moving to urban areas from the countryside to find jobs in the cities.

Georgia: Seizing the Opportunity to Prosper suggests a path towards sustainable and shared growth. Georgia’s story is associated with three stylized facts: high growth with persistent unemployment currently at nearly 15 percent after 10 years of annual growth that averaged above 5.5 percent; a doing business rank of 8 out of 189 countries achieved without recovery to 1990 levels of per capita income suggesting a relatively difficult transition experience in spite of noteworthy success with several governance and business environment reforms; and obstinate socio-economic vulnerabilities reflected in Georgia’s status as one of the poorest countries in the Europe and Central Asia (ECA) region of the World Bank with a relatively weak performance on reducing poverty and inequality. Georgia is well positioned to achieve its development objectives. The main challenge is persistent joblessness, which must be addressed to establish a sustainable basis for the pro-poor development model outlined in the Government’s Socio-Economic Strategy 2020. This report, which is anchored in the Government’s Socio-economic Development Strategy 2020, explores the potential for improved export competitiveness to strengthen employment growth in Georgia and is intended to inform a policy agenda mainly focused on the demand side of the labor market.

Abstract

The major aim of the survey is to collect a set of comprehensive statistics on the various dimensions of country’s civilian labour force. The survey profiles information to pave the way for skill development, planning, employment generation, assessing the role and importance of the informal sector and, sizing up the volume, characteristics and contours of employment. The specific objectives of the survey are as follows:

• To collect data on the socio-demographic characteristics of the total population i.e. age, sex, marital status, level of education, current enrolment and migration etc;
• To acquire current information on the dimensions of Pakistan’s labour force; i.e. number of persons employed, unemployed, underemployed or out of labour market;
• To gather descriptive facts on the engagement in major occupational traits and the nature of work undertaken by the institution/organization;
• To profile statistics on employment status of the individuals, i.e.,whether they are employers, own account workers, unpaid family workers or paid employees (regular/casual);
• To classify non-agricultural enterprises employing household member(s) as formal and informal;
• To put figure on the hours worked at main/subsidiary occupations;
• To provide data on wages and mode of payment for paid employees;
• To quantify occupational health and safety of employed persons by causes, type of injuries/diseases occurred, parts of body injured, type of treatment received and period of absence from work; and
• To collect data on the characteristics of unemployed persons i.e. age, sex, level of education, previous experience if any, occupation, industry, employment status related to previous job, waiting time invested in the quest for work, their availability for work and expectations for future employment.

Geographic coverage

The universe for Labour Force Survey consists of all urban and rural areas of the four provinces of Pakistan defined as such by 1998 Population Census, excluding Azad Jammu and Kashmir, Northern Areas, Federally Administered Tribal Areas (FATA) and military restricted areas and protected areas of NWFP. The Population of excluded areas constitute about 3% of the total population.

Sampling procedure

Sample Design Sampling Frame: Federal Bureau of Statistics (FBS) has developed its own sampling frame for urban areas. Each city/town is divided into a number of enumeration blocks. Each enumeration block is based on 200 to 250 households on the average with well defined boundaries and maps. The list of enumeration blocks as updated through Economic Census 2003-04 and the list of villages/mouzas/dehs of 1998 Population Census have been taken as sampling frame. Enumeration blocks and villages are considered as Primary Sampling Units (PSUs) from urban and rural domains respectively.

Stratification Plan Urban Domain: Karachi, Lahore, Gujranwala, Faisalabad, Rawalpindi, Multan, Sialkot, Sargodha, Bahawalpur, Hyderabad, Sukkur, Peshawar, Quetta and Islamabad are considered as large cities. Each of these cities constitutes a separate stratum, further sub-stratified according to low, middle and high income groups based on the information collected in respect of each Enumeration Block at the time of demarcation/ updating of urban area sampling frame.

Remaining Urban Areas: After excluding the population of large cities from the population of respective ex-administrative division, the remaining urban population of exadministrative division from provinces is grouped together to form another stratum called other urban. Thus each ex-division in remaining urban areas in the four provinces constitutes a stratum.

Rural Domain: Each administrative district in the Punjab, Sindh and NWFP is considered an independent stratum whereas in Balochistan, each ex-administrative division constitutes a stratum.

Sample Design: A stratified two-stage sample design has been adopted for the survey. i) Selection of primary sampling units (PSUs): Enumeration Blocks in urban domain and mouzas/dehs/villages in rural are taken as Primary Sampling Units (PSUs). Sample PSUs are drawn with probability proportional to size (PPS) method. In urban domain, the number of households in an enumeration block as updated in 2003-04 through Economic Census and respective population of 1998 Census for a stratum is considered as measure of size. ii) Selection of secondary sampling units (SSUs): The constituent households of sample PSUs are taken as Secondary Sampling Units (SSUs). A specified number of households i.e. 12 from each urban sample PSU, 16 from rural sample PSU have been selected with equal probability using systematic sampling technique with random a start.

Sample Size and Its Allocation: Keeping in view the variability of characteristics, population distribution and availability of field resources, a sample of 18912 households have been considered appropriate to provide reliable estimates of key labour force characteristics. The entire sample of households (SSUs) has been drawn from 1347 Primary Sampling Units (PSUs) out of which 660 are urban and 687 are rural. As urban population is more heterogeneous therefore, a higher proportion of sample size is allocated to urban domain. In order to get reliable estimates, a higher proportion of sample has been assigned to NWFP and Balochistan in consideration to their smallness. After fixing the sample size at provincial level, further distribution of sample PSUs to different strata in rural and urban domains in each province is made proportionately.

Sample Covered: All enumeration Blocks in urban areas and mouzas/dehs/villages in rural areas have been enumerated. The number of sample households (18,858) enumerated is less than the estimated sample size (18,912) due to non-contact and refusal cases in urban and rural areas.

Mode of data collection

Face-to-face [f2f]

Research instrument

The LFS 2003-04 Questionnaire is divided into the following 11 sections: Section 1: Identification Section 2: Field operations Section 3: Editing/coding at headquarter Section 4: Household composition and demographic information Section 5: Current activity Section 6: Underemployment Section 7: For paid employees only Section 8: Occupational injuries/diseases (all employed persons) Section 9: Questions to be addressed to head of household or his/her proxy Section 10: Unemployment Section 11: Work activity

Cleaning operations

Editing is done at headquarter by the subject matter section. Computer edit checks are applied to get even with errors identified at the stage of data entry. Data ranges in numerical values are used to eliminate erroneous data resulting from mistakes made during coding. The survey records are further edited and rectified through a series of computer processing stages.

The youth unemployment rate in Australia increased by 1.1 percentage points (+13.13 percent) compared to the previous year. In total, the youth unemployment rate amounted to 9.47 percent in 2024. This increase was preceded by a declining youth unemployment rate.The youth unemployment rate refers to the share of the workforce aged 15 to 24 that is currently not working but is actively searching for work. It does not include the economically inactive population, such as the long-term unemployed or full-time students.Find more key insights for the youth unemployment rate in countries like Fiji and Tonga.

Unemployment Rate in Australia increased to 4.30 percent in June from 4.10 percent in May of 2025. This dataset provides - Australia Unemployment Rate at 5.8% in December - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In the second quarter of 2024, the unemployment rate in Morocco for the population aged 15-24 years experienced the highest unemployment levels, with a rate of around 36.1 percent. On the other hand, approximately four percent of the labor force aged 45 years and older was unemployed.

In 2024, the youth unemployment rate in Germany increased by 0.8 percentage points (+13.45 percent) compared to 2023. In total, the youth unemployment rate amounted to 6.7 percent in 2024. This increase was preceded by a declining youth unemployment rate.The youth unemployment rate refers to the share of the workforce aged 15 to 24 that is currently not working but is actively searching for work. It does not include the economically inactive population, such as the long-term unemployed or full-time students.Find more statistics on other topics about Germany with key insights such as labor participation rate among the total population aged between 15 and 64.

The youth unemployment rate in Morocco saw no significant changes in 2024 in comparison to the previous year 2023 and remained at around 22.08 percent. Still, 2024 marked the fourth consecutive decline of the youth unemployment rate. The youth unemployment rate refers to the share of the economically active population aged 15 to 24 currently without work but in search of employment. The youth unemployment rate does not include economically inactive persons such as the long-term unemployed or full-time students.Find more key insights for the youth unemployment rate in countries like Algeria and Sudan.

The youth unemployment rate in the Philippines decreased by 0.4 percentage points (-5.72 percent) in 2024 in comparison to the previous year. The youth unemployment rate thereby reached its lowest value in recent years. The youth unemployment rate of a country or region refers to the share of the total workforce aged 15 to 24 that is currently without work, but actively searching for employment. It does not include economically inactive persons such as full-time students or the long-term unemployed.Find more key insights for the youth unemployment rate in countries like Cambodia and Timor-Leste.

In 2024, the youth unemployment rate in South Africa increased by 1.2 percentage points (+2.01 percent) compared to 2023. In total, the youth unemployment rate amounted to 60.89 percent in 2024. This increase was preceded by a declining youth unemployment rate.The youth unemployment rate of a country or region refers to the share of the total workforce aged 15 to 24 that is currently without work, but actively searching for employment. It does not include economically inactive persons such as full-time students or the long-term unemployed.Find more statistics on other topics about South Africa with key insights such as labor participation rate among the total population aged between 15 and 64, labor force participation rate for males, and female labor force participation rate.

In 2024, the youth unemployment rate in Argentina increased by 3.2 percentage points (+17.83 percent) compared to 2023. In total, the youth unemployment rate amounted to 21.19 percent in 2024. This increase was preceded by a declining youth unemployment rate.The youth unemployment rate refers to the share of the workforce aged 15 to 24 that is currently not working but is actively searching for work. It does not include the economically inactive population, such as the long-term unemployed or full-time students.Find more key insights for the youth unemployment rate in countries like Paraguay and Chile.