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TwitterThe seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In August 2025, the national unemployment rate was at 4.3 percent. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends.
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Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August 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.
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View monthly updates and historical trends for US Unemployment Rate. from United States. Source: Bureau of Labor Statistics. Track economic data with YCha…
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TwitterThe number of unemployed people in Iceland rose sharply from March 2020 to April 2020, when it increased from 5,700 in March to 12,000 in April and 16,100 the following month. It then fluctuated more, peaking in November 2020. By December 2022, the number of unemployed people in Iceland was just above 7,000. The unemployment rate in Iceland fell below five percent in December 2021 and was around four percent as of July 2022.
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Unemployment Rate in Germany remained unchanged at 6.30 percent in November. This dataset provides the latest reported value for - Germany Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Unemployment Rate in China decreased to 5.10 percent in October from 5.20 percent in September of 2025. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Graph and download economic data for Unemployment Rate - Black or African American (LNS14000006) from Jan 1972 to Sep 2025 about African-American, 16 years +, household survey, unemployment, rate, and USA.
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The Labour Force Survey provides estimates of employment and unemployment which are among the timeliest and important measures of performance of the Canadian economy. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is 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. LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, wage rates, union status, job permanency and workplace size are also produced. These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector.This public use microdata file contains non-aggregated data for a wide variety of variables collected from the Labour Force Survey (LFS). It contains both personal characteristics for all individuals in the household and detailed labour force characteristics for household members 15 years of age and over. The personal characteristics include age, sex, marital status, educational attainment, and family characteristics. Detailed labour force characteristics include employment information such as class of worker, usual and actual hours of work, employee hourly and weekly wages, industry and occupation of current or most recent job, public and private sector, union status, paid or unpaid overtime hours, job permanency, hours of work lost, job tenure, and unemployment information such as duration of unemployment, methods of job search and type of job sought. Labour force characteristics are also available for students during the school year and during the summer months as well as school attendance whether full or part-time and the type of institution.LFS revisions: Labour force surveys are revised on a periodic basis, either to adopt the most recent geography, industry and occupation classifications; to use new observations to fine-tune seasonal adjustment factors; or to introduce methodological enhancement. Prior LFS revisions were conducted in 2011, 2015 and 2021. The most recent revisions to the LFS were conducted in 2023. The first major change was a transition to the National Occupational Classification (NOC) 2021 V1.0, with all LFS series from 1987 onwards having been revised to the new classification. The second major change were methodological enhancements to LFS data processing, applied to all LFS series beginning Jan 2006. The third major change was a revision of seasonal adjustment factors, applied to LFS series Jan 2002 onward. A list of prior versions of this LFS dataset can be found under the ‘Versions’ tab.
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Unemployment Rate in Japan remained unchanged at 2.60 percent in October. This dataset provides the latest reported value for - Japan Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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TwitterCompared 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.
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Unemployment Rate in Canada decreased to 6.90 percent in October from 7.10 percent in September of 2025. This dataset provides - Canada Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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TwitterRegional unemployment rates used by the Employment Insurance program, by effective date, current month.
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TwitterNumber of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by province, gender and age group. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
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TwitterThe latest release of these statistics can be found in the collection of Alternative Claimant Count statistics.
These Alternative Claimant Count statistics measure the number of people claiming unemployment related benefits by modelling what the count would have been if Universal Credit had been in place since 2013.
Lead statistician: Luke Stockham
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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.
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Unemployment Rate in the United Kingdom increased to 5 percent in September from 4.80 percent in August of 2025. This dataset provides the latest reported value for - United Kingdom Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Unemployment Rate in Union County, KY was 4.00% in August of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Union County, KY reached a record high of 18.20 in April of 2020 and a record low of 2.90 in November of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Union County, KY - last updated from the United States Federal Reserve on November of 2025.
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Graph and download economic data for Unemployment Rate - 16-19 Yrs. (LNS14000012) from Jan 1948 to Aug 2025 about 16 to 19 years, household survey, unemployment, rate, and USA.
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TwitterThe latest forecasts made available by the Bank of Spain in November 2020 on the impact of the coronavirus (SARS-Cov-2) on national employment show an even more recessive trend than that already detailed in the data provided by the Government in May of the same year. In the worst case scenario, unemployment rate could exceed 20 percent in 2021 and stand over 18 percent the following year.
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This dataset presents data on the numbers and status of employment by industries for the Statistical Area Level 4 (SA4) 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. 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.
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TwitterThe seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In August 2025, the national unemployment rate was at 4.3 percent. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends.