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.

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.

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

The 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.

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.

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.

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.

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

Number 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.

Regional unemployment rates used by the Employment Insurance program, by effective date, current month.

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 - Women (LNS14000002) from Jan 1948 to Sep 2025 about females, 16 years +, household survey, unemployment, rate, and USA.

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.

View monthly updates and historical trends for Tennessee Unemployment Rate. Source: Bureau of Labor Statistics. Track economic data with YCharts analytics.

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]

United States Unemployment Rate: Male: PW: NA: Information data was reported at 3.300 % in Apr 2025. This records a decrease from the previous number of 5.000 % for Mar 2025. United States Unemployment Rate: Male: PW: NA: Information data is updated monthly, averaging 4.800 % from Jan 2000 (Median) to Apr 2025, with 304 observations. The data reached an all-time high of 13.300 % in Jun 2020 and a record low of 0.900 % in Dec 2019. United States Unemployment Rate: Male: PW: NA: Information 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.

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]

Unemployment Rate: sa: France excl Mayotte (FM): Age: 15 to 64 data was reported at 5.500 % in Dec 2024. This records a decrease from the previous number of 5.600 % for Sep 2024. Unemployment Rate: sa: France excl Mayotte (FM): Age: 15 to 64 data is updated quarterly, averaging 6.400 % from Mar 2003 (Median) to Dec 2024, with 88 observations. The data reached an all-time high of 7.600 % in Jun 2015 and a record low of 5.100 % in Jun 2020. Unemployment Rate: sa: France excl Mayotte (FM): Age: 15 to 64 data remains active status in CEIC and is reported by National Institute of Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.G029: Unemployment Rate: Seasonally Adjusted: New Methodology.

In June 2025, the unemployment rate in Australia was 4.3 percent, lower than the pre-COVID-19 unemployment rate of around five percent. During 2020, the unemployment rate in Australia spiked to 7.6 percent amidst the country's second coronavirus wave. Unemployment and underemployment rates around the country In the middle of 2023, unemployment around the country hovered between 2.9 and 4.2 percent, with South Australia leading with the highest rate of people eligible to work jobs not currently employed. New South Wales, the country’s most populous state, reported the lowest rate of unemployment at the time. Underemployment, however, was highest in Tasmania, with the country reporting a national underemployment rate of over six percent in June 2023. Some of the leading difficulties people in Australia reported as barriers to finding a job or more hours included too many other applicants for available jobs, and a lack of necessary training, qualifications, or experience. Leading industries for employment in Australia Australia’s employment landscape is made up of a wide range of jobs; however, it is dominated by the services sector, which covers a range of industries, including healthcare, education, tourism, and professional services. Healthcare and social assistance remain the country’s leading employment industry, accounting for approximately 15 percent of employed persons. Employment industries varied between males and females , with the construction industry the most popular employment industry for males in 2022, while close to one-quarter of employed females worked in the healthcare and social assistance field.

United States Unemployment Rate: Male: PW: NA: EH: Education Services data was reported at 3.300 % in Apr 2025. This records a decrease from the previous number of 6.000 % for Mar 2025. United States Unemployment Rate: Male: PW: NA: EH: Education Services data is updated monthly, averaging 4.100 % from Jan 2000 (Median) to Apr 2025, with 304 observations. The data reached an all-time high of 13.600 % in Jun 2020 and a record low of 1.100 % in Oct 2000. United States Unemployment Rate: Male: PW: NA: EH: Education 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.G: Current Population Survey: Unemployment Rate.