The Occupational Employment and Wage Statistics (OES) program conducts a semi-annual survey to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates by geographic area and by industry. Estimates based on geographic areas are available at the National, State, Metropolitan, and Nonmetropolitan Area levels. The Bureau of Labor Statistics produces occupational employment and wage estimates for over 450 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and 5-digit North American Industry Classification System (NAICS) industrial groups. More information and details about the data provided can be found at http://www.bls.gov/oes

The Occupational Employment and Wage Statistics (OEWS) Survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). The BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OEWS survey make these estimates possible.

The OEWS survey collects data from a sample of establishments and calculates employment and wage estimates by occupation, industry, and geographic area. The semiannual survey covers all non-farm industries. Data are collected by the Employment Development Department in cooperation with the Bureau of Labor Statistics, US Department of Labor. The OEWS Program estimates employment and wages for approximately 830 occupations. It also produces employment and wage estimates for statewide, Metropolitan Statistical Areas (MSAs), and Balance of State areas. Estimates are a snapshot in time and should not be used as a time series.

The OEWS estimates are published annually.

SOURCE: https://www.bls.gov/oes/oes_emp.htm

Graph and download economic data for Employed full time: Wage and salary workers: Survey researchers occupations: 16 years and over (LEU0257864000A) from 2011 to 2024 about occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

The Occupational Employment and Wage Statistics (OEWS) survey is a semiannual mail survey of employers that measures occupational employment and occupational wage rates for wage and salary workers in nonfarm establishments, by industry. OEWS estimates are constructed from a sample of about 41,400 establishments. Each year, forms are mailed to two semiannual panels of approximately 6,900 sampled establishments, one panel in May and the other in November.

Occupation describes the kind of work a person does on the job. Occupation data were derived from answers to questions 45 and 46 in the 2015 American Community Survey (ACS). Question 45 asks: “What kind of work was this person doing?” Question 46 asks: “What were this person’s most important activities or duties?”

These questions were asked of all people 15 years old and over who had worked in the past 5 years. For employed people, the data refer to the person’s job during the previous week. For those who worked two or more jobs, the data refer to the job where the person worked the greatest number of hours. For unemployed people and people who are not currently employed but report having a job within the last five years, the data refer to their last job.

These questions describe the work activity and occupational experience of the American labor force. Data are used to formulate policy and programs for employment, career development, and training; to provide information on the occupational skills of the labor force in a given area to analyze career trends; and to measure compliance with antidiscrimination policies. Companies use these data to decide where to locate new plants, stores, or offices.

This collection provides data on labor force activity for the week prior to the survey. Comprehensive data are available on the employment status, occupation, and industry of persons 14 years old and over. Also presented are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin. This collection also contains a supplement which includes data on job tenure and occupational mobility. Supplemental data are provided on length of time doing current kind of work and length of time working continuously for the present employer. Respondents who had changed occupations were asked the reason for changing from the kind of work done in January 1986 and what education or training programs were completed since January 1986. They were also asked about pay comparisons between the current job and the job held in January 1986.

This data collection investigates the relationship between men's work and personality, and provides information regarding work, parenting practices, orientation toward work and society in general, and values. Work-related variables describe the place and conditions of employment, including the degree of supervision, placement within the workplace hierarchy, and the complexity of work with people, data, and things. Respondents also were questioned regarding job satisfaction, expectations for the future, job security, union membership and activities, and preferred occupation. Additionally, respondents provided self-evaluations of job and career performance, the importance and prestige of their jobs, and a complete work history for all jobs held for six months or more. Respondents who were parents at the time of the interview were queried regarding parenting practices and parental values, including methods of child discipline and reinforcement employed, and the level of educational achievement and future occupation preferred for their children. In addition, respondents were asked to select the most and least desirable qualities for their children from a prepared list of attributes. Respondents also were questioned regarding social orientation and self-concept. To measure social orientation, respondents were asked to state the extent to which they agreed or disagreed with statements indicating authoritarian or nonauthoritarian tendencies, different criteria of morality and amorality, trustfulness and distrustfulness, and statements indicating receptivity or resistance to change. Self-concept was examined by questions concerning self-confidence and diffidence, self-depreciation and self-endorsement, anxiety, fatalistic and accountable attributions of responsibility, and the conformity or independence of their ideas. Respondents also were asked to select the values most and least desired for themselves. Background information collected for respondents and their families includes household composition, metropolitan/nonmetropolitan area of residence, marital status and duration of marriage, education, ethnicity, religion, country of birth and year of immigration, wife's age and employment status, grandparents' occupations, and parents' country of birth, occupation, education, and age when the respondent was born. Also recorded were the number of brothers and sisters the respondent grew up with, the occupation of each sibling, whether the respondent lived with his parents and what his parents' occupations were when he was 16, the age and education level of each child living in the respondent's household, and the respondent's social class self-placement.

Graph and download economic data for Employment Level - Professional and Related Occupations (LNU02032203) from Jan 1983 to Jun 2025 about occupation, professional, 16 years +, household survey, employment, and USA.

The Annual Social and Economic (ASEC) 2017 Supplement is part of the Current Population Survey (CPS) Series. The CPS is a source of the official Government statistics on employment and unemployment. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions. The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage, and salaried employees, and estimates of total unemployment. In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full-time, total income and supplemental income components. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey. The occupation and industry information variables in this data collection can help the data users identify individuals who worked in arts and culture related fields. The occupations are listed in a category entitled "Arts, Design, Entertainment, Sports, and Media Occupations," which includes professions such as artists, designers, actors, musicians, and writers (see Appendix B of the User Guide for further category details). Industries related to the arts and culture are in the "Arts, Entertainment, and Recreation" category (see Appendix C of the User Guide for further category details). For example, using the occupation and industry information variables from the ASEC help data users to obtain statistics about people in artists occupations that receive supplemental income, live public housing, or are full-time students. The ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit.

This dataset has now been discontinued following a user consultation. However figures for employment by occupation, sourced from our Annual Population Survey are available on our NOMIS website.

The Professional Worker Career Experience Survey (PWCES) contains responses from 752 working professionals who were surveyed between December 2003 and September 2004. The survey contains a combination of data on personal education and work histories, family structure, employment and demographic characteristics, and variety of personality scales. The data were collected originally as part of an investigation of the reasons for the under representation of women and minorities in the information technology (IT) workforce. The survey instrument was made up of two separate sets of questions. The first part, developed by the University of Kansas (KU) research team, gathered information on the following topics: work history and job characteristics, education history and experiences, family history and experiences, career choice influences, family and other non-work obligations, attitudes and perceptions of work experiences, life/family/work conflicts, job and career satisfaction, personal attitudes and beliefs, and demographic and salary information. The second part of the survey consisted of the Strong Interest Inventory (SII), a widely used vocational counseling instrument that was developed and is maintained by Consulting Psychologists Press (CPP). After completing the first part of the survey users were transferred to a site maintained by CPP and filled out responses to the SII online. CPP then transferred these responses to the KU team and responses from the two parts were matched based on individual identifiers. After the data collection phase was completed the KU research team cleaned the responses by examining consistency of responses. A number of additional variables were also constructed based on survey responses. Respondents were classified as either IT or non-IT employees based on self-reported current career field (one of 13 categories or "Other"), and specific job title (open ended). Based on this information a total of 749 respondents could be placed in one career field or the other, with 200 being coded as IT and 549 coded as non-IT. Data collected in the first part of the survey allowed the KU research team to construct a number of instruments that have been used by previous researchers. These include measures of: Work-family conflict, job satisfaction, life satisfaction, and work stress. Based on responses to the Strong Interest Inventory it was possible to construct measures of the Big Five Personality Constructs, and Holland's General Occupational Themes. Each of these instruments is described more fully in the glossary included as Appendix A in the user guide. Because not all respondents completed the entire survey sample sizes will depend on the specific questions being analyzed. Demographic variables include education, parent's education, family occupation, occupants in household, spouse/partner occupation, number of children in household, age, race, citizenship, and income.

The National Compensation Survey (NCS) program produces information on wages by occupation for many metropolitan areas.The Modeled Wage Estimates (MWE) provide annual estimates of average hourly wages for occupations by selected job characteristics and within geographical _location. The job characteristics include bargaining status (union and nonunion), part- and full-time work status, incentive- and time-based pay, and work levels by occupation. The modeled wage estimates are produced using a statistical procedure that combines survey data collected by the National Compensation Survey (NCS) and the Occupational Employment Statistics (OES) programs. Borrowing from the strengths of the NCS, information on job characteristics and work levels, and from the OES, the occupational and geographic detail, the modeled wage estimates provide more detail on occupational average hourly wages than either program is able to provide separately. Wage rates for different work levels within occupation groups also are published. Data are available for private industry, State and local governments, full-time workers, part-time workers, and other workforce characteristics.

Graph and download economic data for Employment Level - Service Occupations (LNU02032204) from Jan 1983 to Jun 2025 about occupation, 16 years +, household survey, services, employment, and USA.

This data collection contains the prestige ratings that respondents to the 1989 General Social Survey assigned to various occupations. The purpose of the collection was to replicate the benchmark study of occupational prestige conducted by Hodge, Siegel, and Rossi (HSR) in 1964, while expanding the number of rated occupations to include all 503 detailed occupational categories in the 1980 Census. Additional titles were added from the HSR study and several other studies of occupational prestige, for a total of 704 occupational titles. Respondents were divided into 10 subsamples, with each subsample rating 110 occupations. The first 40 titles presented to each respondent were the same for all subsamples. As in the HSR study, respondents were asked to rate the occupations on a scale of 1 to 9. To promote comparability with the HSR study, both the nature of the task respondents were asked to perform (ranking titles) and the wording of the instructions were the same in both studies.

39.8% of workers from the Indian ethnic group were in 'professional' jobs in 2021 – the highest percentage out of all ethnic groups in this role.

This layer shows median earnings by occupational group broken down by sex. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Only full-time year-round workers included. Median earnings is based on earnings in past 12 months of survey. Occupation Groups based on Bureau of Labor Statistics (BLS)' Standard Occupation Classification (SOC). This layer is symbolized to show median earnings of the full-time, year-round civilian employed population. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B24022 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Graph and download economic data for Unemployment Rate - Service Occupations (LNU04032218) from Jan 2000 to Jun 2025 about occupation, 16 years +, household survey, services, unemployment, rate, and USA.

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 1972-1973. This survey is the second undertaken by the investigators to provide an overview of working conditions in the American labor force. The aims of this survey and many of the questions that were asked were comparable to those of the related collection, SURVEY OF WORKING CONDITIONS, 1969-1970 (ICPSR 3507). Among the major aims of this survey were: (1) assessment of the frequency and severity of work-related problems experienced by employed people in general and by major demographic and occupational subgroups, (2) identification of major demographic or occupational groups that were most affected by these problems, (3) development of valid measures of job satisfaction suitable for use with samples of workers in heterogenous occupations and under a variety of conditions, (4) assessment of the impact of working conditions upon the well-being of workers, especially their physical and mental well-being, and (5) establishment of normative statistics that might permit other investigators to compare their data from more limited subsamples of workers with national norms. The major measures used in both 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 were also asked. Additional questions probed respondents' feelings about their relationship with their supervisors and their overall contentment with their jobs and with life in general. This survey differs from the earlier survey in the greater emphasis that was placed on questions related to respondents' physical health, drinking habits, and career development. The structured interview schedule contained both closed and open-ended questions. Many of the open-ended questions were directed at estimating the frequency and type of labor standards problems, such as those with unions, discrimination, physical working conditions, wages, and work schedules. Demographic variables provide information on age, sex, race, education, and income.

Graph and download economic data for Unemployment Level - Sales and Office Occupations (LNU03032219) from Jan 2000 to Jun 2025 about occupation, 16 years +, sales, household survey, unemployment, and USA.

Labour Force Survey (LFS) data relating to employees, self-employed, full-time and part-time workers by occupation group (based on Standard Occupation Classification 2000) by sex. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: LFS