Unemployment Rate in the United States increased to 4.30 percent in August from 4.20 percent in July 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.

In June 2025, Mexico's unemployment rate stood at 2.69 percent, following a fluctuating trend experienced in the North American country since January of that same year. During the time under consideration, unemployment peaked in June 2020, when the rate reached almost 5.5 percent.

In the United States, ** percent of Hispanic adults have lost employment income due to the coronavirus between March and June 2020. The survey participants with the lowest share of employment income loss were the white/nonhispanic respondents, at around ** percent.

Between March and June 2020, ** percent of adults with children under the age of ** that make less than ** thousand U.S. dollars a year have lost employment income due to the coronavirus pandemic in the United States. In every income category under 100 thousand U.S. dollars a year, at least ** percent of adults experienced a loss of employment income.

View monthly updates and historical trends for US Unemployment Rate. from United States. Source: Bureau of Labor Statistics. Track economic data with YCha…

Unemployment Rate in China decreased to 5.20 percent in September from 5.30 percent in August of 2025. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In June 2025, 2.6 percent of the economically active population in Mexico was considered unemployed, down from 4.61 percent registered in the same month of 2021. In June 2020, just a few months after the COVID-19 outbreak, the unemployment rate reached its highest monthly value since the beginning of 2019, at 5.32 percent.

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

United States - Unemployment Rate - 20 Yrs. & over was 4.00% in August of 2025, according to the United States Federal Reserve. Historically, United States - Unemployment Rate - 20 Yrs. & over reached a record high of 14.20 in April of 2020 and a record low of 2.20 in June of 1953. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Unemployment Rate - 20 Yrs. & over - last updated from the United States Federal Reserve on October of 2025.

Mexico Unemployment Rate: With Work Experience as % of Labour Force data was reported at 98.217 % in Jun 2020. This records a decrease from the previous number of 98.718 % for May 2020. Mexico Unemployment Rate: With Work Experience as % of Labour Force data is updated monthly, averaging 98.718 % from Apr 2020 (Median) to Jun 2020, with 3 observations. The data reached an all-time high of 99.817 % in Apr 2020 and a record low of 98.217 % in Jun 2020. Mexico Unemployment Rate: With Work Experience as % of Labour Force data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G062: Unemployment Rate: ETOE 2020: Age 15 and Above. [COVID-19-IMPACT]

Mexico Unemployment Rate: Without Experience as % of Labour Force data was reported at 1.783 % in Jun 2020. This records an increase from the previous number of 1.282 % for May 2020. Mexico Unemployment Rate: Without Experience as % of Labour Force data is updated monthly, averaging 1.282 % from Apr 2020 (Median) to Jun 2020, with 3 observations. The data reached an all-time high of 1.783 % in Jun 2020 and a record low of 0.183 % in Apr 2020. Mexico Unemployment Rate: Without Experience as % of Labour Force data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G062: Unemployment Rate: ETOE 2020: Age 15 and Above. [COVID-19-IMPACT]

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.

This csv file provides unemployment data information for Florida and Districts for 2017, 2018, 2019 and 2020. Through the FDOT Source Book Special Edition 2020 report, users can drill down the unemployment data at the statewide and District level.The report's link is: https://sourcebook-2020-se-fdot.hub.arcgis.com/Statewide unemployment spiked dramatically in early 2020, peaking at 13.5% in April and May opposed to 3% in April 2019. It improved to 7.6% by July 2020. Although it has not returned to 2017-2019 levels, the rate continued to improve during the last half of 2020. By December 2020, the unemployment rate improved to 5.8%.Data source: Florida Department of Economic Opportunity.For any additional information, please contact the Forecasting and Trends Office (FTO) at 850-414-5396.

Mexico Unemployment Rate: Labour Force data was reported at 5.492 % in Jun 2020. This records an increase from the previous number of 4.193 % for May 2020. Mexico Unemployment Rate: Labour Force data is updated monthly, averaging 4.675 % from Apr 2020 (Median) to Jun 2020, with 3 observations. The data reached an all-time high of 5.492 % in Jun 2020 and a record low of 4.193 % in May 2020. Mexico Unemployment Rate: Labour Force data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G062: Unemployment Rate: ETOE 2020: Age 15 and Above. [COVID-19-IMPACT]

The unemployment rate in Sweden increased significantly from March 2020 due to the outbreak of the coronavirus (COVID-19). It was at its highest in June 2020, when it reached 9.3 percent, and was around nine percent until May 2021, when it started to decrease. It then started to increase again from early 2023, reaching 8.5 percent in September 2024. This was one of the highest in Europe.

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

Graph and download economic data for Unemployment Rate - Women (LNS14000002) from Jan 1948 to Aug 2025 about females, 16 years +, household survey, unemployment, rate, and USA.

Mexico Unemployment Rate: Labour Force: Female data was reported at 4.837 % in Jun 2020. This records an increase from the previous number of 2.721 % for May 2020. Mexico Unemployment Rate: Labour Force: Female data is updated monthly, averaging 4.183 % from Apr 2020 (Median) to Jun 2020, with 3 observations. The data reached an all-time high of 4.837 % in Jun 2020 and a record low of 2.721 % in May 2020. Mexico Unemployment Rate: Labour Force: Female data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G062: Unemployment Rate: ETOE 2020: Age 15 and Above. [COVID-19-IMPACT]

Mexico Unemployment Rate: Incomplete Primary Education as % of Labour Force data was reported at 4.900 % in Jun 2020. This records a decrease from the previous number of 16.377 % for May 2020. Mexico Unemployment Rate: Incomplete Primary Education as % of Labour Force data is updated monthly, averaging 10.072 % from Apr 2020 (Median) to Jun 2020, with 3 observations. The data reached an all-time high of 16.377 % in May 2020 and a record low of 4.900 % in Jun 2020. Mexico Unemployment Rate: Incomplete Primary Education as % of Labour Force data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G062: Unemployment Rate: ETOE 2020: Age 15 and Above. [COVID-19-IMPACT]

Abstract

The objective of PLFS is primarily on two aspects. The first is to measure the dynamics in labour force participation and employment status in the short time interval of three months for the urban areas only in the Current Weekly Status (CWS). Thus, in every quarter, PLFS will bring out the level and change estimates of the key labour force indicators in CWS viz. Worker Population Ratio (WPR), Labour Force Participation Rate (LFPR), Unemployment Rate (UR). Secondly, for both rural and urban areas, level estimates of all important parameters in both usual status and CWS will be brought out annually.

Geographic coverage

The survey will cover the whole of the Indian Union except the villages in Andaman and Nicobar Islands which remain extremely difficult to access throughout the year.

Sampling procedure

In a large village, there exist usually a few localities or pockets where the houses of the village tend to cluster together. These are called 'hamlets'. In case there are no such recognised hamlets in the village, the census sub-divisions of the village (e.g. enumeration blocks or groups of census house numbers or geographically distinct blocks of houses) may be treated as 'hamlets'. Large hamlets may be divided artificially to achieve more or less equal population content for the purpose of hamlet-group formation. The procedure for formation of hamlet-groups is best described, perhaps, by listing sequentially the steps involved: (i) Identify the hamlets as described above. (ii) Ascertain approximate present population of each hamlet. (iii) Draw a notional map in block 3 showing the location of the hamlets and number them in a serpentine order starting from the northwest corner and proceeding southwards. While drawing this map, uninhabited area (non-abadi area) of the village will be included as part of nearby hamlet, so that no area of the village is left out. The boundaries of the hamlets may be defined with the help of some landmarks like canals, footpaths, railway lines, roads, cadastral survey plot numbers etc., so that it would be possible to identify and locate the geographical boundaries of the hamlet-groups to be formed in the village. (iv) List the hamlets in Block 4.1 in the order of their numbering. Indicate the present population content in terms of percentages. (v) Group the hamlets into D hamlet-groups. The criteria to be adopted for hamlet-group formation are equality of population content and geographical contiguity (numbering of hamlets is not to be adopted as a guideline for grouping). In case there is a conflict between the two aspects, geographical contiguity is to be given priority. However, there should not be substantial difference between the population of the smallest and the largest hamlet-group formed. Indicate the grouping in the map. (vi) Number the hamlet-groups serially in column (1) of Block 4.2. The hamlet-group containing hamlet number 1 will be numbered as 1, the hamlet-group with next higher hamlet number not included in hg 1 will be numbered as 2 and so on. Indicate the numbers also in the notional map. It is quite possible that a hamlet-group may not be constituted of hamlets with consecutive serial numbers.

Mode of data collection

FACE TO FACE