The seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In October 2024, 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.

The unemployment rate in Brazil has experienced a continual increase throughout 2020, a result mostly related to the impact of the COVID-19 pandemic in the country. As of November 2020, the northeast region registered the largest growth in unemployment. At that point in time, unemployment in the northeast had increased by 70 percent, in comparison to the beginning of May. Meanwhile, the country's south region had the lowest growth in unemployed population during the period.

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.

Registered Unemployment Rate: East Germany: DL: Brandenburg data was reported at 6.700 % in Dec 2020. This records an increase from the previous number of 6.600 % for Nov 2020. Registered Unemployment Rate: East Germany: DL: Brandenburg data is updated monthly, averaging 14.600 % from Jan 1991 (Median) to Dec 2020, with 360 observations. The data reached an all-time high of 22.600 % in Feb 2005 and a record low of 6.000 % in Nov 2019. Registered Unemployment Rate: East Germany: DL: Brandenburg data remains active status in CEIC and is reported by Federal Labour Agency. The data is categorized under Global Database’s Germany – Table DE.G021: Registered Unemployment Rate.

United States Unemployment Rate: Male: PW: NA: Transportation: Transpo & Retail data was reported at 4.700 % in Feb 2025. This records an increase from the previous number of 3.300 % for Jan 2025. United States Unemployment Rate: Male: PW: NA: Transportation: Transpo & Retail data is updated monthly, averaging 4.800 % from Jan 2000 (Median) to Feb 2025, with 302 observations. The data reached an all-time high of 14.300 % in May 2020 and a record low of 2.500 % in Nov 2000. United States Unemployment Rate: Male: PW: NA: Transportation: Transpo & Retail data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G037: Current Population Survey: Unemployment Rate.

Colombia Villavicencio: Unemployment: Real Estate Activities data was reported at 0.319 Person in Dec 2021. This records a decrease from the previous number of 0.558 Person for Nov 2021. Colombia Villavicencio: Unemployment: Real Estate Activities data is updated monthly, averaging 0.422 Person from Mar 2015 (Median) to Dec 2021, with 78 observations. The data reached an all-time high of 1.414 Person in Jul 2020 and a record low of 0.117 Person in Nov 2020. Colombia Villavicencio: Unemployment: Real Estate Activities data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.G058: Unemployment: by City and Industry: Household Survey: ISIC Rev 4 (Discontinued).

This dataset presents data on the numbers and status of employment by occupation and gender for metropolitan areas following the Greater Capital City Statistical Area (GCCSA) regions as of November 2020. The boundaries for this dataset follow the 2016 edition of the Australian Statistical Geography Standard (ASGS). The Australian Department of Education, Skills and Employment publishes a range of labour market data on its Labour Market Information Portal. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation. AURIN has spatially enabled the original data. Data Source: ABS Labour Force Survey, four-quarter average, except for Australian Total Employment and Australian Employment Distribution, which are seasonally adjusted data.

United States Unemployment Insurance: Unemployment Rate: North Carolina data was reported at 5.490 % in 01 Aug 2020. This records a decrease from the previous number of 6.420 % for 25 Jul 2020. United States Unemployment Insurance: Unemployment Rate: North Carolina data is updated weekly, averaging 1.820 % from Dec 1986 (Median) to 01 Aug 2020, with 1753 observations. The data reached an all-time high of 14.080 % in 02 May 2020 and a record low of 0.390 % in 17 Nov 2018. United States Unemployment Insurance: Unemployment Rate: North Carolina data remains active status in CEIC and is reported by US Department of Labor. The data is categorized under Global Database’s United States – Table US.G072: Unemployment Insurance: Jobless Claims: by State.

This dataset presents data on the numbers and status of employment by industries for the Statistical Area Level 4 (SA4) regions as a time series for November 2016, 2020 and 2021. The boundaries for this dataset follow the 2016 edition of the Australian Statistical Geography Standard (ASGS).

The Australian Department of Education, Skills and Employment publishes a range of labour market data on its Labour Market Information Portal. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.

AURIN has spatially enabled the original data. Data Source: ABS Labour Force Survey, four quarter average, except for Australia which is seasonally adjusted data. The region named "Western Australia - Outback (North and South)" in the original data has been omitted as it did not match a region within the SA4 2016 ASGS.

Compared to February 2020, roughly 24.4 thousand people have become unemployed and 39.2 thousand people temporarily laid off mainly because of the coronavirus (COVID-19) pandemic in Finland. As of November 2020, the highest spike in the numbers of unemployed jobseekers and temporary layoffs during 2020 was recorded between March 30 and April 5 (week 14).

COVID-19 impact on unemployment Although the full-blown consequences of the coronavirus pandemic remain uncertain, the monthly unemployment rate spiked in Finland in May 2020. While many people have lost their jobs, even a larger group of people have been temporarily laid off. In order to avoid mass layoffs in companies, the Finnish government reduced the period of notice before layoff until 31 December 2020. However, it remains to be seen, to what extent temporary coronavirus layoffs turn permanent in the long run. Nonetheless, based on a forecast, the unemployment is expected to stay at a higher level in the upcoming years than before the COVID-19 outbreak.

Uneven prospects As of April 2020, the majority of Finnish people were still not particularly worried about the risk of losing a job or income because of the coronavirus pandemic. However, especially students are at risk of losing their income, as seasonal work has become scarce due to restrictions and business closures. This can potentially lead to long-term negative consequences for the income and career development of young people.

United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Labour Market: Unemployment Insurance: Unemployment Rate: sa data was reported at 0.045 % in 17 Mar 2025. This records a decrease from the previous number of 0.065 % for 10 Mar 2025. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Labour Market: Unemployment Insurance: Unemployment Rate: sa data is updated weekly, averaging 0.132 % from Jan 2020 (Median) to 17 Mar 2025, with 269 observations. The data reached an all-time high of 40.397 % in 06 Apr 2020 and a record low of 0.000 % in 18 Nov 2024. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Labour Market: Unemployment Insurance: Unemployment Rate: sa data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Employment: Non Farm Payroll.

Graph and download economic data for Unemployment Rate - Black or African American (LNS14000006) from Jan 1972 to Feb 2025 about African-American, 16 years +, household survey, unemployment, rate, and USA.

United States Unemployment Insurance: Unemployment Rate: Georgia data was reported at 12.990 % in 01 Aug 2020. This records a decrease from the previous number of 14.390 % for 25 Jul 2020. United States Unemployment Insurance: Unemployment Rate: Georgia data is updated weekly, averaging 1.430 % from Dec 1986 (Median) to 01 Aug 2020, with 1754 observations. The data reached an all-time high of 20.180 % in 25 Apr 2020 and a record low of 0.490 % in 23 Nov 2019. United States Unemployment Insurance: Unemployment Rate: Georgia data remains active status in CEIC and is reported by US Department of Labor. The data is categorized under Global Database’s United States – Table US.G072: Unemployment Insurance: Jobless Claims: by State.

Unemployment: Officially Registered: SB: Tomsk Region data was reported at 2.900 Person th in Jan 2025. This records an increase from the previous number of 2.800 Person th for Dec 2024. Unemployment: Officially Registered: SB: Tomsk Region data is updated monthly, averaging 12.500 Person th from Oct 1995 (Median) to Jan 2025, with 352 observations. The data reached an all-time high of 32.300 Person th in Nov 2020 and a record low of 2.400 Person th in Oct 2024. Unemployment: Officially Registered: SB: Tomsk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GB013: Unemployment: by Region: Officially Registered. [COVID-19-IMPACT]

Graph and download economic data for Unemployment Level - College Graduates - Master's Degree, 18 to 19 years, Women (CGMDUW1819) from Oct 2007 to Nov 2020 about 18 to 19 years, master's degree, females, tertiary schooling, education, household survey, unemployment, and USA.

Unemployment Rate: Foreign Born: Female data was reported at 4.800 % in Feb 2025. This records an increase from the previous number of 4.600 % for Jan 2025. Unemployment Rate: Foreign Born: Female data is updated monthly, averaging 5.500 % from Jan 2007 (Median) to Feb 2025, with 218 observations. The data reached an all-time high of 18.400 % in May 2020 and a record low of 2.900 % in Nov 2022. Unemployment Rate: Foreign Born: Female data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G037: Current Population Survey: Unemployment Rate.

United States Unemployment Rate: Male: PW: NA: Education & Health Services data was reported at 3.300 % in Jan 2025. This stayed constant from the previous number of 3.300 % for Dec 2024. United States Unemployment Rate: Male: PW: NA: Education & Health Services data is updated monthly, averaging 3.200 % from Jan 2000 (Median) to Jan 2025, with 301 observations. The data reached an all-time high of 8.100 % in May 2020 and a record low of 1.600 % in Nov 2022. United States Unemployment Rate: Male: PW: NA: Education & Health Services data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G037: Current Population Survey: Unemployment Rate.

Abstract

To better understand the impact of the shock induced by the COVID-19 pandemic on Tunisia and assess the policy responses in a rapidly changing context, reliable data is imperative, and the need to resort to a dynamic data collection tool at a time when countries in the region are in a state of flux cannot be overstated. The COVID-19 MENA Monitor Survey was led by the Economic Research Forum (ERF) to provide data for researchers and policy makers on the socio-economic and labor market impact of the global COVID-19 pandemic on households. The ERF COVID-19 MENA Monitor Survey is constructed using a series of short panel phone surveys, that are conducted approximately every two months, covering topics such as demographic and household characteristics, education and children, labor market status, income, social safety net, employment and unemployment detection, employment characteristics, and social distancing. In addition to the survey's panel design, which will permit the study of various phenomena over time, the survey also takes into account the key demographic and socio-economic characteristics of each country in the questionnaires' design to understand the different distributional consequences of the impact of COVID-19 and responses to it. This design allows further study of the effect of the pandemic on different vulnerable groups including women, informal and irregular workers, low skilled workers, and youth. The ERF COVID-19 MENA Monitor Survey is a wide-ranging, nationally representative panel survey. The baseline wave of this dataset was collected in October 2020, harmonized by the Economic Research Forum (ERF) and is featured as wave 1 for Household/Individual data. The survey is in the process of further expansion to include other waves.

The harmonization was designed to create comparable data that can facilitate cross-country and comparative research between other Arab countries (Egypt, Morocco, Jordan, and Sudan). All the COVID-19 MENA Monitor surveys incorporate similar survey designs, with data on households and individuals within those households.

Geographic coverage

National

Analysis unit

Household and Individuals

Universe

The survey covered a national random sample of mobile phone users aged 18-64.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample universe for the household survey was mobile phone users aged 18-64. Random digit dialing (RDD), within the range of valid numbers, was used, with up to three attempts if a phone number was not picked up/answered, was disconnected or busy, or picked up but could not complete the interview at that time. Samples were stratified by country-specific market shares of mobile operators. The sample is designed to cover at least 2000 unique households and individuals. Attrition is addressed through the addition of refresher households in later waves to maintain that target. A question is included in the survey for the number of phone numbers within the household to weight appropriately. Further weighting of the household and individual samples was done to reflect the demographic composition of the population as obtained by the most recent publicly available data with individual phone ownership and relevant demographic and labour market characteristics. In the individual interview, respondents who are employers or self-employed were asked to respond to either the household enterprise or farmer modules.

Households will be followed up every two months up to a total of four interviews. Interviews are conducted by experienced survey research or polling firms in each country using computer-assisted telephone interviewing (CATI) techniques.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Graph and download economic data for Unemployment Level - College Graduates - Master's Degree, 18 to 19 years (CGMDU1819) from Oct 2007 to Nov 2020 about 18 to 19 years, master's degree, tertiary schooling, education, household survey, unemployment, and USA.

Graph and download economic data for Unemployment Rate in Orange County, CA (CAORAN7URN) from Jan 1990 to Jan 2025 about Orange County, CA; Los Angeles; CA; unemployment; rate; and USA.