In 2023, it was estimated that over 161 million Americans were in some form of employment, while 3.64 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.

In 2022, informal employment in Ecuador constituted 68.5 percent of total employment in the country. In this year, the share of informally employed population increased by almost 5 percentage point in comparison to the percent in 2019. Informal employment is defined as work that is not formally registered or regulated by existing legal frameworks.

The informal sector in Ecuador

The COVID-19 pandemic has had a great impact on the Ecuadorian job market. It contributed to the raise of unemployment rates and worsening labor conditions, which pushed many workers towards the shadow economy sector. Although informal employment can be observed across the whole national territory, it is a particularly persistent problem in the countryside. In 2022, over 75 percent of the population in rural areas worked in the informal sector, nearly 40 percent more than in urban areas.

A common problem across Latin America

Economic growth and increasing level of education in Latin America do not seem to have a positive impact on the problem of informal employment. In almost every Latin American country, the share of the workforce employed in the informal sector exceeded half of the total working population in 2022. In Bolivia, the informal employment exceeded 80 percent. In economies such as Honduras, Guatemala, Peru, El Salvador, and Paraguay, more than two thirds of the employment force was working in the grey sector. Hindering tax revenues, data collection, or access to social benefits (such as unemployment payments or pensions) are only some of the challenges that both Latin American governments and residents have to face.

Mexico Employment: Self Employed: Main Problem: Other Problems data was reported at 758,597.000 Person in Jul 2020. This records an increase from the previous number of 569,255.000 Person for Jun 2020. Mexico Employment: Self Employed: Main Problem: Other Problems data is updated monthly, averaging 580,321.500 Person from Apr 2020 (Median) to Jul 2020, with 4 observations. The data reached an all-time high of 758,597.000 Person in Jul 2020 and a record low of 515,465.000 Person in Apr 2020. Mexico Employment: Self Employed: Main Problem: Other Problems 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.G044: Employment: ECOVID-ML 2020: Age 18 and Above. [COVID-19-IMPACT]

Judgement on one´s own job situation and the situation in the job market in the course of time.

This is a three-wave panel.

Topics: First wave: The first wave of this investigation is at the same time the survey described under ZA Study No. 1084.

Topics: professional career and satisfaction with occupational development; work satisfaction; job security; career orientation; attitude to occupational planning; correspondence of training and future demands of occupation; characterization of job; the route to work and means of transport used; characterization of company; judgement on the development of the company and the area of business; assumed difficulties in searching for work; accepting setback in a change of job; readiness for mobility; participation in further education measures within and outside work; readiness for further education; weekly working hours and overtime; assessment of self-confidence in selected situations (scale); judgement on the reasonableness of an offer of a position as worker or with lower income; memberships; residential status; type of city; size of municipality class; administrative district.

Demography: age; sex; marital status; school education; vocational training; household income; size of household; composition of household; respondent is head of household; characteristics of head of household.

Second wave: as a so-called panel maintenance a short questionnaire was sent to the respondents.

In this mail survey (November 1980) the following questions were posed: current employment status; moving frequency; change of residence and distance moved; cause of moving.

Third wave: The third wave is identical to the fourth wave of the unemployed survey as described in ZA Study No. 1362: assessment of the economic situation; times of employment or unemployment from 1978 to 1981; assessment of occupational consequences of personal unemployment; reason for last unemployment; number of jobs offered by employment office; one´s own initiative in the search for work; aid taken advantage of for occupational reintegration; satisfaction with employment office and case worker; description of current employment situation; interest in regaining employment; part time or full time position; assessment whether employment can be resumed in the next five years; establishing a specific occupation or a specific profession; income concepts; occupational mobility; acceptable or reasonable problems in regaining employment; current registration with employment office as unemployed; reasons for not finding a suitable position (scale); sources of income to support cost of living; assessment of condition of health; reduction in earning capacity; illnesses and complaints in the last three months; psychological self-characterization of self-confidence and work orientation (scales); moving frequency.

The following questions were also posed to those who in the meantime had found work: success of mediation by employment office; temporary or permanent employment; detailed characterization of current activity and relationship with occupation learned; hours worked each week and overtime; length of route to work; assessment of the security of one´s own job.

Those who had not yet found work characterized their last job according to the same criteria.

Based on data from the 1988 Alcohol Supplement of the National Health Interview Survey, Mullahy and Sindelar (1996) (M&S) find, for both men and women, that alcohol abuse results in reduced employment and increased unemployment. The estimates from which they drew these inferences were obtained via the instrumental variables (IV) method, which was implemented in order to account for the potential endogeneity of problem drinking. Though these IV estimates qualitatively supported the prior expectation that problem drinking damages individuals' labour market prospects, they were not found to be statistically significant. The present paper revisits this research and offers a new estimation method which, in addition to accounting for endogeneity, explicitly allows for the inherent non-linearity of the underlying regression structure. The new method is applied to the same data and variable specifications as those used by M&S for the male subpopulation. Consistent with their results, problem drinking is found to have a positive effect on the probability of unemployment and negative effect on the likelihood of being employed. Unlike their result, however, the latter estimate is statistically significant. An appealing feature of the new method is that it accommodates the likely possibility that alcohol abuse effects are heterogeneous with respect to the observed and unobserved characteristics of individuals in the population. To illustrate this fact, abuse effects are computed for two widely differing subgroups of the population. The large differential between the estimated effects for these two subpopulations demonstrates the potential importance of accounting for heterogeneity.

Mexico Employment: Self Employed: Main Problem: None data was reported at 3,308,658.000 Person in Jul 2020. This records an increase from the previous number of 3,006,470.000 Person for Jun 2020. Mexico Employment: Self Employed: Main Problem: None data is updated monthly, averaging 2,668,235.000 Person from Apr 2020 (Median) to Jul 2020, with 4 observations. The data reached an all-time high of 3,308,658.000 Person in Jul 2020 and a record low of 1,672,985.000 Person in Apr 2020. Mexico Employment: Self Employed: Main Problem: None 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.G044: Employment: ECOVID-ML 2020: Age 18 and Above. [COVID-19-IMPACT]

This dataset is about books. It has 1 row and is filtered where the book is The Kenya employment problem : an analysis of the modern sector labour market. It features 4 columns: author, book publisher, and BNB id.

The percentage point gap between the percentage of respondents in the Labour Force Survey who have a long-term condition who are classified as employed (aged 16-64) and the percentage of all respondents in the Labour Force Survey classed as employed (aged 16-64). Numerator for employment rate of people with a long-term condition: Number of people with a health problem or disabilities that they expect will last for more than a year (based on response to Q1 of Annual Population Survey (APS) ) and who are in employment (either as an employee, self-employed, in government employment and training programmes or an unpaid family worker - ILO definition of basic economic activity) and are of working age (aged 16-64). Denominator for employment rate of people with a long-term condition: Number of people with a physical or mental health conditions or illness that they expect will last for more than a year (based on response to Q1 in APS) and are of working age (aged 16-64). Numerator for employment rate of population as a whole: Number of people who are in employment (either as an employee, self-employed, in government employment and training programmes or an unpaid family worker - ILO definition of basic economic activity) and are of working age (aged 16-64). Denominator for employment rate of population as a whole: Number of people who are of working age (aged 16-64).The indicator is constructed by calculating the percentage points gap between the employment rate for those with a long-term condition and the population as a whole. Isles of Scilly value was unable to be calculated. Calculations is based on data that are estimates and are rounded to nearest 100. It is advised that estimates published prior to the April 2013 to March 2014 period should not be treated as a time series due to these discontinuities. Due to this change, data from 2013/14 cannot be compared with previous time points. As a consequence, the baseline for this indicator has been changed to 2013/14.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

This study contains data on the working conditions of 1,455 workers aged 16 and older who were working for pay for 20 or more hours per week in the United States in the period 1973-1977. This survey is a panel study version of the cross-section study, QUALITY OF EMPLOYMENT SURVEY, 1977: CROSS-SECTION (ICPSR 7689). The surveys were undertaken by the investigators to provide an overview of working conditions in the American labor force. The aims of these surveys and many of the questions that were asked were comparable to those of the related collections, SURVEY OF WORKING CONDITIONS, 1969-1970 (ICPSR 3507), and QUALITY OF EMPLOYMENT SURVEY, 1972-1973 (ICPSR 3510). The major measures used in each of the four surveys were the frequency and severity of labor standards problems, the quality of employment indicators that were shown to be predictors of job satisfaction, the job satisfaction indices themselves, and the ratings of important job facets. Respondents were asked questions about many facets of their job situations and other areas of their lives that might be affected by their jobs in order to assess the impact of work on them. Questions included job tension, security, physical health, job satisfaction, and financial well-being. A series of questions regarding job expectations was also asked. Additional questions probed respondents' feelings about their overall contentment with their jobs and with life in general. Other variables probed respondents' feelings about their work culture, physical work environment, discrimination at work, job fringe benefits, and labor unions, as well as child care provisions, nature of time spent with children and spouse, use of leisure time, and electoral participation. Demographic variables provide information on age, sex, marital status, race, place of birth, education, and income.

This map presents the full data available on the MLTSD GeoHub, and maps several of the key variables reflected by the Employment Services Program of ETD.Employment Services are a suite of services delivered to the public to help Ontarians find sustainable employment. The services are delivered by third-party service providers at service delivery sites (SDS) across Ontario on behalf of the Ministry of Labour, Training and Skills Development (MLTSD). The services are tailored to meet the individual needs of each client and can be provided one-on-one or in a group format. Employment Services fall into two broad categories: unassisted and assisted services.

Unassisted services include the following components:resources and information on all aspects of employment including detailed facts on the local labour marketresources on how to conduct a job search.assistance in registering for additional schoolinghelp with career planningreference to other Employment and government programs.

Unassisted services are available to all Ontarians without reference to eligibility criteria. These unassisted services can be delivered through structured orientation or information sessions (on or off site), e-learning sessions, or one-to-one sessions up to two days in duration. Employers can also use unassisted services to access information on post-employment opportunities and supports available for recruitment and workplace training.

The second category is assisted services, and it includes the following components:assistance with the job search (including individualized assistance in career goal setting, skills assessment, and interview preparation) job matching, placement and incentives (which match client skills and interested with employment opportunities, and include placement into employment, on-the-job training opportunities, and incentives to employers to hire ES clients), and job training/retention (which supports longer-term attachment to or advancement in the labour market or completion of training)For every assisted services client a service plan is maintained by the service provider, which gives details on the types of assisted services the client has accessed. To be eligible for assisted services, clients must be unemployed (defined as working less than twenty hours a week) and not participating in full-time education or training. Clients are also assessed on a number of suitability indicators covering economic, social and other barriers to employment, and service providers are to prioritize serving those clients with multiple suitability indicators.

About This Dataset

This dataset contains data on ES clients for each of the twenty-six Local Board (LB) areas in Ontario for the 2015/16 fiscal year, based on data provided to Local Boards and Local Employment Planning Councils (LEPC) in June 2016 (see below for details on Local Boards). This includes all assisted services clients whose service plan was closed in the 2015/16 fiscal year and all unassisted services clients who accessed unassisted services in the 2015/16 fiscal year. These clients have been distributed across Local Board areas based on the address of each client’s service delivery site, not the client’s home address. Note that clients who had multiple service plans close in the 2015/16 fiscal year (i.e. more than one distinct period during which the client was accessing assisted services) will be counted multiple times in this dataset (once for each closed service plan). Assisted services clients who also accessed unassisted services either before or after accessing assisted services would also be included in the count of unassisted clients (in addition to their assisted services data).

Demographic data on ES assisted services clients, including a client’s suitability indicators and barriers to employment, are collected by the service provider when a client registers for ES (i.e. at intake). Outcomes data on ES assisted services clients is collected through surveys at exit (i.e. when the client has completed accessing ES services and the client’s service plan is closed) and at three, six, and twelve months after exit. As demographic and outcomes data is only collected for assisted services clients, all fields in this dataset contain data only on assisted services clients except for the ‘Number of Clients – Unassisted R&I Clients’ field.

Note that ES is the gateway for other Employment Ontario programs and services; the majority of Second Career (SC) clients, some apprentices, and some Literacy and Basic Skills (LBS) clients have also accessed ES. It is standard procedure for SC, LBS and apprenticeship client and outcome data to be entered as ES data if the program is part of ES service plan. However, for this dataset, SC client and outcomes data has been separated from ES, which as a result lowers the client and outcome counts for ES.

About Local Boards

Local Boards are independent not-for-profit corporations sponsored by the Ministry of Labour, Training and Skills Development to improve the condition of the labour market in their specified region. These organizations are led by business and labour representatives, and include representation from constituencies including educators, trainers, women, Francophones, persons with disabilities, visible minorities, youth, Indigenous community members, and others. For the 2015/16 fiscal year there were twenty-six Local Boards, which collectively covered all of the province of Ontario.

The primary role of Local Boards is to help improve the conditions of their local labour market by:engaging communities in a locally-driven process to identify and respond to the key trends, opportunities and priorities that prevail in their local labour markets;facilitating a local planning process where community organizations and institutions agree to initiate and/or implement joint actions to address local labour market issues of common interest; creating opportunities for partnership development activities and projects that respond to more complex and/or pressing local labour market challenges; and organizing events and undertaking activities that promote the importance of education, training and skills upgrading to youth, parents, employers, employed and unemployed workers, and the public in general.

In December 2015, the government of Ontario launched an eighteen-month Local Employment Planning Council pilot program, which established LEPCs in eight regions in the province formerly covered by Local Boards. LEPCs expand on the activities of existing Local Boards, leveraging additional resources and a stronger, more integrated approach to local planning and workforce development to fund community-based projects that support innovative approaches to local labour market issues, provide more accurate and detailed labour market information, and develop detailed knowledge of local service delivery beyond Employment Ontario (EO).

Eight existing Local Boards were awarded LEPC contracts that were effective as of January 1st, 2016. As such, from January 1st, 2016 to March 31st, 2016, these eight Local Boards were simultaneously Local Employment Planning Councils. The eight Local Boards awarded contracts were:Durham Workforce Authority Peel-Halton Workforce Development GroupWorkforce Development Board - Peterborough, Kawartha Lakes, Northumberland, HaliburtonOttawa Integrated Local Labour Market PlanningFar Northeast Training BoardNorth Superior Workforce Planning Board Elgin Middlesex Oxford Workforce Planning & Development BoardWorkforce Windsor-Essex

MLTSD has provided Local Boards and LEPCs with demographic and outcome data for clients of Employment Ontario (EO) programs delivered by service providers across the province on an annual basis since June 2013. This was done to assist Local Boards in understanding local labour market conditions. These datasets may be used to facilitate and inform evidence-based discussions about local service issues – gaps, overlaps and under-served populations - with EO service providers and other organizations as appropriate to the local context.

Data on the following EO programs for the 2015/16 fiscal year was made available to Local Boards and LEPCs in June 2016:Employment Services (ES)Literacy and Basic Skills (LBS) Second Career (SC) Apprenticeship

This dataset contains the 2015/16 ES data that was sent to Local Boards and LEPCs. Datasets covering past fiscal years will be released in the future.

Notes and Definitions

NAICS – The North American Industry Classification System (NAICS) is an industry classification system developed by the statistical agencies of Canada, the United States, and Mexico against the backdrop of the North American Free Trade Agreement. It is a comprehensive system that encompasses all economic activities in a hierarchical structure. At the highest level, it divides economic activity into twenty sectors, each of which has a unique two-digit identifier. These sectors are further divided into subsectors (three-digit codes), industry groups (four-digit codes), and industries (five-digit codes). This dataset uses two-digit NAICS codes from the 2007 edition to identify the sector of the economy an Employment Services client is employed in prior to and after participation in ES.

NOC – The National Organizational Classification (NOC) is an occupational classification system developed by Statistics Canada and Human Resources and Skills Development Canada to provide a standard lexicon to describe and group occupations in Canada primarily on the basis of the work being performed in the occupation. It is a comprehensive system that encompasses all occupations in Canada in a hierarchical structure. At the highest level are ten broad occupational categories, each of which has a unique one-digit identifier. These broad occupational categories are further divided into forty major groups (two-digit codes), 140 minor groups

BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE.A spatial representation of the locations of Michigan UIA Problem Resolution Offices (PRO).Data Source: PRO Locations

Problem Resolution Offices - Need Help?The UIA's Problem Resolution Offices (PROs) resolve customer problems and provide access to automated resources.PROs provide:Telephones and computers for the convenience of customers who may not have access to a computer or telephone to file their claim. If you are going to file an unemployment claim at a PRO, please bring: Your Social Security Number, your Driver's License Number or State Identification or your MARVIN PIN (if you have one); along with the names and addresses of employers you have worked for in the past 18 months with your quarterly gross earnings and the last date of employment with each employer. If you are not a U.S. citizen or national, you will need your Alien Registration Number and the expiration date of your work authorization.In-person help for problems with claimsA presence in the community that includes, on request, presentations about unemployment insurance services to employer, business, labor, and community groupsFile at a PRO: If you are going to file an unemployment claim at a PRO, please bring:Your Social Security Number, your Driver's License Number or State Identification or your MARVIN PIN (if you have one)If you are not a U.S. citizen or national, you will need your Alien Registration Number and the expiration date of your work authorization.Names and addresses of employers you have worked for in the past 18 months including quarterly gross earnings and the last date of employment with each.

Abstract copyright UK Data Service and data collection copyright owner.

The DTI commissioned the Institute for Employment Studies (IES) and BMRB Social Research to undertake this second benchmark survey of employees' awareness, knowledge and exercise of employment rights, which was conducted in 2005. The main aims of the study were:

• to assess employees' general awareness of the scope of their employment rights and, where appropriate and relevant, to draw comparisons with the 2000 survey
• for selected topics, to establish employees' knowledge of specific employment rights provisions (e.g. level of the National Minimum Wage, holiday entitlement, maternity leave and anti-discrimination law)
• to find out the main sources of information and professional advice about employment rights issues, and, where employees had experienced a problem in the previous five years, where they sought advice and guidance and what they did to try and resolve the problem
• to identify the personal and employment characteristics that influence employees' level of awareness knowledge and preparedness to seek advice and take action to enforce their individual employment rights (including employment status)

In addition the survey sought to estimate the extent of 'on-call' working in Great Britain, differentiating between those on call at their place of work (residential on-call) and those who are able to leave their place of work.

The first survey in the series was conducted in 2000 (held at the UK Data Archive (UKDA) under SN 5082), and provided a baseline against which future surveys could be compared. However, as detailed in the technical report for this study, there were major improvements to the methodology and questionnaire between 2000 and 2005 so comparisons must be made cautiously with attention drawn to this caveat.



Main Topics:

The questionnaire covered: awareness of employment rights; knowledge of specific employment rights; experience of problems at work; likelihood of future problems at work; future sources of information about rights at work; employer and job details; socio-demographic characteristics.

This dataset is about books. It has 1 row and is filtered where the book is New employment law issues : a guide to developing and implementing policies. It features 7 columns including author, publication date, language, and book publisher.

Persons reporting a work-related health problem by sex, age and full-time/part-time employment

Problems of retraining the workforce in branches of the economy and regions with particular structure problems.

Retrainees as well as a comparison group were interviewed on their occupational situation and further development.

Topics: Course of training; participation in further education events after school; reasons for choice of occupation; satisfaction with choice of occupation; work satisfaction and company satisfaction; assessment of the economic situation in the region as well as of the company; assessment of job security and the general problem of unemployment; personal measures to protect against unemployment; conduct at loss of job; job mobility; extent to which informed about the job promotion law; attitude to retraining and expected difficulties; attitude to further education as an adult; assessment of personal abilities to learn a new occupation; expectations of a new occupation; attitude to society and judgement on equal opportunities in the occupation; assessment of equal rights for men and women; disadvantaged or privileged groups in the FRG; judgement on economic development in the next few years and the situation of the worker in society; assessment of the political significance of retraining.

The following additional questions were posed to retrainees: decision and reasons leading to retraining; assessment of the learning situation; achievement supervision and achievement expectations during retraining; experiences with the employment office; financial situation during retraining; perceived occupation prospects after retraining; selection criteria for the new job; attitude to co-determination in training; change of family life from retraining.

With self-employed and farmers: significance of self-employment.

Demography: marital status; number of children; religious denomination; school education; vocational training; income; party membership; social origins; city size; membership in a trade union.

Interviewer rating: length of interview.

Also encoded was: identification of interviewer; identification of encoder.

Persons reporting a work-related health problem by sex, age and full-time/part-time employment

Survey on Households and the Environment: Percentage of persons aged 16 years old and more concerned about the environment, by type of employment and environmentally-mindedness (concern, knowledge, detection of problems). National.

Workforce Issues in Library and Information Science 1 (WILIS 1) was designed as a detailed retrospective study of the career patterns of those graduating from Library and Information Science (LIS) programs in North Carolina from 1964-2007. WILIS 1 had two major parts. Part 1 built an in-depth understanding of educational, workplace, career and retention issues faced by LIS graduates using the life course perspective from the social sciences. This part of the research was sited in North Carolina where a full range of LIS program types exist. One of the programs is in a historically Black institution, allowing a focus on minority career and retention issues. Part 2 used the methods developed in Part 1 to generate a transferable model for career tracking of LIS graduates nationally. In Part 1, the study developed a comprehensive web-based survey to collect data on the long term career patterns of those who graduated from LIS programs in North Carolina. The survey collected data on the educational and career histories of respondents, as well as data related to demographics, specific jobs held, breaks in employment, continuing education, opinions about trends in LIS, satisfaction with LIS as a career and perspectives of recent graduates about their LIS programs and entry into the workforce. Respondents were asked to identify up to five specific jobs in terms of the following categories: job immediately before the ir LIS program, job immediately after their LIS program, current job or last job depending on employment status, longest job and highest-achieving job. The response rate for the WILIS 1 study was 35% (n=2660).

This study is an evaluation of the National Supported Work Demonstration project, a transitional, subsidized work experience program for four target groups of people with longstanding employment problems: ex-offenders, former drug addicts, women who were long-term recipients of welfare benefits, and school dropouts, many with criminal records. The program provided up to 12-18 months of employment to about 10,000 individuals at 15 locations across the country for four years. In ten of these sites -- Atlanta, Chicago, Hartford, Jersey City, Newark, New York, Philadelphia, Oakland, San Francisco, and Wisconsin, 6,600 eligible applicants were randomly assigned either to experimental groups (offered a job in supported work) or to control groups, and an evaluation was conducted on the effects of the Supported Work Program. At the time of enrollment, each respondent was given a retrospective baseline interview, generally covering the previous two years, followed by up to four follow-up interviews scheduled at nine-month intervals. Two public use files were originally distributed for this data collection: Supported Work Employment and Earnings File, and Supported Work Deviant Behavior File. Each file contained data for up to five interviews, a cross-document dataset and an Aid to Families with Dependent Children (AFDC) recipients follow-up. The Employment and Earnings File contains data from all interview modules except the drug and crime sections, and the Deviant Behavior File contains all variables on the Employment and Earnings File as well as additional information on drugs and crime. Aid to Families with Dependent Children (AFDC) recipients were further asked about children in school and welfare participation, while all non-AFDC respondents were questioned about any extralegal activities. Demographic items specify age, sex, race, marital status, education, number of children, employment history, job search, job training, mobility, household income, welfare assistance, housing, military discharge status, and drug use. Each respondent has up to six logical, fixed-length records, with each record corresponding to a completed interview (up to five) and one additional short "cross-document" record. A User's Guide describing the collection and its components is available and should be read before the collection or any part of it is ordered.

The statistic shows the distribution of the workforce across economic sectors in the United States from 2013 to 2023. In 2023, 1.57 percent of the workforce in the US was employed in agriculture, 19.34 percent in industry and 79.09 percent in services. See U.S. GDP per capita for more information. American workforce A significant majority of the American labor force is employed in the services sector, while the other sectors, industry and agriculture, account for less than 20 percent of the US economy. However, the United States is among the top exporters of agricultural goods – the total value of US agricultural exports has more than doubled since 2000. A severe plunge in the employment rate in the US since 1990 shows that the American economy is still in turmoil after the economic crisis of 2008. Unemployment is still significantly higher than it was before the crisis, and most of those unemployed and looking for a job are younger than 25; youth unemployment is a severe problem for the United States, many college or university graduates struggle to find a job right away. Still, the number of employees in the US since 1990 has been increasing slowly, with a slight setback during and after the recession. Both the number of full-time and of part-time workers have increased during the same period. When looking at the distribution of jobs among men and women, both project the general downward trend. A comparison of the employment rate of men in the US since 1990 and the employment rate of women since 1990 shows that more men tend to be employed than women.