Graph and download economic data for Unemployment Rate in Somerset County, NJ (NJSOME0URN) from Jan 1990 to Aug 2025 about Somerset County, NJ; NJ; New York; unemployment; rate; and USA.

View monthly updates and historical trends for Stamford, CT Unemployment Rate. Source: Bureau of Labor Statistics. Track economic data with YCharts analyt…

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.

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.

In October 2025, the surveyed unemployment rate of people between 30 and 59 years of age in urban areas of China ranged at *** percent. December 2023 unemployment figures were prepared by the National Bureau of Statistics of China using for the first time an adjusted methodology for calculating age specific unemployment rates. According to the new methodology, university students are not included in the figures any more. Furthermore, the age range for adult unemployment has been split up into two age groups from 25 to 29 and 30 to 59 years.Adult unemployment is commonly considerably lower than youth unemployment. Therefore, the total unemployment rate in urban areas of China is usually slightly higher than the adult unemployment rate of people aged 30 to 59.

In 2020, the number of unemployed people in Romania peaked in June at almost 500 thousand. By July 2021, the number slightly dropped to 420 thousand people.

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

12800 FSUs (7024 villages and 5776 UFS blocks) will be covered annually at all-India level.

Sampling procedure

A rotational panel sampling design will be used in urban area. The rotational scheme will be of two years duration to accommodate the changes in the urban frame in the intracensal period; in the sense that the sampling frames for both rural and urban areas will remain unchanged for every two-year duration. In this rotational panel scheme each selected household in urban areas will be visited four times - one with first visit schedule and other three with revisit schedule. The estimates can be given for successive quarters without any break in the series (starting from the fifth quarter), ensuring a 75% matching between consecutive quarters. Regression based estimates will not be generated. Instead, usual traditional design based estimates will be generated. The proposed design aims at generating quarterly estimates of level and change parameters of some important labour force indicators (LFPR, WPR & UR) based on CWS data in urban areas and annual estimates of level parameters based on usual status for both rural and urban areas in the line of employment & unemployment survey of NSS quinquennial round.

Rotational panel design for urban areas

i. The initial rotational panel will be for two years, where only 25% FSUs of urban annual allocation will be covered in the first quarter (Panel P11) with detail listing and canvassing of visit 1 schedule in the selected households; where Pij indicates the panel belonging to jthquarter of the ith two-year period of rotation. ii. Another 25% FSUs will be covered in the second quarter (Panel P12) for taking up visit 1 schedule and revisit schedule will be canvassed in the selected households of Panel P11. iii. A new panel P13 of 25% FSUs will be surveyed in third quarter with visit 1 schedule andrevisit schedules will be nvassed in the households of panels P11 & P12. iv. In the fourth quarter, households of panels P11, P12 & P13 will be surveyed with revisit schedule and a new panel P14 with 25% FSUs for visit 1 schedule. v. In the subsequent quarters of second year 75% FSUs (3 panels - P12, P13 & P14) will be common and an earlier panel (P11) will be replaced by a new panel (P15) for canvassingvisit 1 schedule. This will continue till 8th quarter. vi. All the FSUs of the panels P11, P12, ...., P18 (each of which is with 25% of FSUs) will beselected before commencement of survey in the first quarter. vii. At the end of the second year of each two-year duration, updated frame will be used for both rural and urban areas. viii. FSUs of another set of panels P21, P22, ..., P28 selected from the updated frame will be made ready before commencement of first quarter of third year (first quarter of the second two year duration). These panels P21 to P28 will take care of the changes in the urban frame during the intracensal period. ix. In the ninth quarter (first quarter of the second two-year duration), panel P21 selected from the updated frame will be introduced and the panels P16, P17 and P18 of the old frame will be surveyed. x. This scheme will continue for another 2 years with the introduction of panels P22 to P28 each in one quarter for the subsequent 7 quarters till the end of the fourth year (second year of the two-year period). xi. This scheme of rotation of panels will enable generation of estimates of change parameters with 75% matching and 25% of unmatched samples from fifth quarter onwards. xii. One of the main advantages of this plan of rotation is that there will not be any break in the series of estimates of the change parameters starting from 5th quarter. xiii. Since major changes in the rural-urban frame occurs in the Census years (say for the year 2023-24), provision is to be made to generate estimates without break in the series of estimates considering panels from pre and post-census frames.

Rural samples For rural areas, samples for all the 8 quarters will be selected before commencement of survey for each two-year period, while the frame remains same for this duration. In each quarter, only 25% FSUs of annual allocation (as is done in each sub-round of NSS rounds) will be covered in rural areas so that independent estimates can be generated for each quarter. For this purpose, quarterly allocation will be multiple of 2 for drawing interpenetrating sub-samples

Mode of data collection

Face to Face

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.

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

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

Youth unemployment stood at 9.7 percent in February 2025. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends. The unemployment rate by state can be found here, and the annual national unemployment rate can be found here. Youth unemployment in the United States The United States Bureau of Labor Statistics track unemployment of persons between the ages of 16 and 24 years each month. In analyzing the data, the Bureau of Labor Statistics performed a seasonal adjustment—removing seasonal influences from the time series, such that one month’s rate of unemployment could be analyzed in comparison with another month’s rate of unemployment. During the period in question, youth unemployment ranged from a high of 9.9 percent in April 2021, to a low of 6.5 percent in April 2023. The national youth unemployment rate can be compared to the monthly national unemployment rate in the United States, although youth unemployment tends to be much higher due to higher rates of participation in education. In May 2023, U.S. unemployment was at 3.7 percent, compared with 7.4 percent amongst those 16 to 24 years old. Additionally, as of May 2023, Nevada had the highest state unemployment rate of all U.S. states, at 5.4 percent.

Full edition for scientific use. The study "Causes and Consequences of Unemployment in the COVID-19 pandemic" addresses the financial and psychological consequences of unemployment for those affected in the second year of the Corona pandemic. The study is based on an Austria-wide standardised telephone survey of 1844 people aged 15 to 64. The interviews took place between 29 May and 11 July 2021. 1215 interviewees were unemployed at the time of the interview, 332 of them long-term unemployed, 629 interviewees were employed.

Youth Unemployment Rate in China decreased to 17.30 percent in October from 17.70 percent in September of 2025. This dataset includes a chart with historical data for China Youth Unemployment Rate.

Background
The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the Quarterly Labour Force Survey (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation.

Longitudinal data
The LFS retains each sample household for five consecutive quarters, with a fifth of the sample replaced each quarter. The main survey was designed to produce cross-sectional data, but the data on each individual have now been linked together to provide longitudinal information. The longitudinal data comprise two types of linked datasets, created using the weighting method to adjust for non-response bias. The two-quarter datasets link data from two consecutive waves, while the five-quarter datasets link across a whole year (for example January 2010 to March 2011 inclusive) and contain data from all five waves. A full series of longitudinal data has been produced, going back to winter 1992. Linking together records to create a longitudinal dimension can, for example, provide information on gross flows over time between different labour force categories (employed, unemployed and economically inactive). This will provide detail about people who have moved between the categories. Also, longitudinal information is useful in monitoring the effects of government policies and can be used to follow the subsequent activities and circumstances of people affected by specific policy initiatives, and to compare them with other groups in the population. There are however methodological problems which could distort the data resulting from this longitudinal linking. The ONS continues to research these issues and advises that the presentation of results should be carefully considered, and warnings should be included with outputs where necessary.

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned. However, volumes are updated periodically by ONS, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.

Occupation data for 2021 and 2022 data files

The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

2022 Weighting

The population totals used for the latest LFS estimates use projected growth rates from Real Time Information (RTI) data for UK, EU and non-EU populations based on 2021 patterns. The total population used for the LFS therefore does not take into account any changes in migration, birth rates, death rates, and so on since June 2021, and hence levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust.

Latest edition information

For the second edition (September 2023), a new version of the data file with revised SOC variables was deposited. Further information on the SOC revisions can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

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.

The unemployment rate of the United Kingdom was five percent in September 2025, up from 4.8 percent in the previous month, and the highest rate of unemployment since 2021. Before the arrival of the COVID-19 pandemic, the UK had relatively low levels of unemployment. Between January 2000 and the most recent month, unemployment was highest in November 2011, when the unemployment rate hit 8.5 percent. Will unemployment continue to rise in 2025? Although low by historic standards, there has been a noticeable uptick in the UK's unemployment rate, with other labor market indicators also pointing to further loosening. In December 2024, the number of job vacancies in the UK fell to its lowest level since May 2021, while payrolled employment declined by 47,000 compared with November. Whether this is a continuation of a broader cooling of the labor market since 2022 or a reaction to more recent economic developments, such as upcoming tax rises for employers, remains to be seen. Forecasts made in late 2024 suggest that the unemployment rate will remain relatively stable in 2025, averaging out at 4.1 percent and falling again to four percent in 2026.
Demographics of the unemployed As of the third quarter of 2024, the unemployment rate for men was slightly higher than that of women, at 4.4 percent, compared to 4.1 percent. During the financial crisis at the end of the 2000s, the unemployment rate for women peaked at a quarterly rate of 7.7 percent, whereas for men, the rate was 9.1 percent. Unemployment is also heavily associated with age, and young people in general are far more vulnerable to unemployment than older age groups. In late 2011, for example, the unemployment rate for those aged between 16 and 24 reached 22.3 percent, compared with 8.2 percent for people aged 25 to 34, while older age groups had even lower peaks during this time.

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.

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

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

Euro Area - Harmonised unemployment rate: Less than 25 years Males was 16.30% in July of 2021, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Euro Area - Harmonised unemployment rate: Less than 25 years Males - last updated from the EUROSTAT on November of 2025. Historically, Euro Area - Harmonised unemployment rate: Less than 25 years Males reached a record high of 19.40% in August of 2020 and a record low of 16.30% in July of 2021.