To obtain information about the "contingent" workforce. "Contingent" work is temporary work that a person does without expecting continuing employment from the particular employer (or source of employment) for whom they work.

NADAC data users should note that this data collection contains data on arts-related occupations. Please read the summary below for details. This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey on the topic of Contingent Employment in the United States, which was administered as a supplement to the February 2017 CPS. In addition to administering the basic CPS, interviewers asked the supplementary questions in three-fourths of the sample households. 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, for the week prior to the survey. 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. The Contingent Work Supplement questions were asked of all applicable persons age 16 years and older. The supplement data is comprised of information on contingent or temporary work that a person did without expecting continuing employment from the particular employer they happened to be working for. Also included is information about each worker's expectation of continuing employment, satisfaction with their current employment arrangement, current job history, transition into the current employment arrangement, search for other employment, employee benefits, and earnings. 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 categories like "Architecture and engineering occupations" and "Arts, Design, Entertainment, Sports, and Media Occupations," which include professions such as artists, architects designers, actors, musicians, and writers. Industries related to the arts and culture are in the "Arts, Entertainment, and Recreation" category. The supplement questions were not asked of unpaid family workers and persons not looking for work (this includes persons not in the labor force and unemployed persons on layoff who are not looking for work). Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income.

description: A national survey conducted to obtain data on contingent or temporary work that a person does without expecting continuing employment from a particular employer. The universe for this survey is each household member age 15 and older who had a job and worked for pay during the reference work or household members age 15 and older who did not have a job during the reference week but looked for work in the last year and were available for work during the reference week. It is a proxy response survey.; abstract: A national survey conducted to obtain data on contingent or temporary work that a person does without expecting continuing employment from a particular employer. The universe for this survey is each household member age 15 and older who had a job and worked for pay during the reference work or household members age 15 and older who did not have a job during the reference week but looked for work in the last year and were available for work during the reference week. It is a proxy response survey.

The Contingent and Alternative Employment Arrangements supplement to the Current Population Survey (CPS) is a monthly sample survey involving about 60,000 households that provides valuable data on (un)employment in the United States. The Contingent and Alternative Employment Arrangements supplement focuses on individuals whose primary jobs are temporary or expected to last only a limited period of time as well as those with alternative employment arrangements (i.e., working as independent contractors, as on-call workers, through temporary help agencies, or through contract firms). Questions were asked about the two types of employment, contingent and alternative, separately as some individuals fell into both categories, some in one but not the other, and some in neither. This data collection includes variables related to occupation and industry, enabling data users to identify individuals working in arts- and culture-related fields. These occupations fall under categories such as leisure, hospitality, and agriculture, as well as related industries like arts, entertainment, recreation, design, sports, and media. This encompasses professions such as artists, architects, designers, actors, musicians, and writers. Jobs in some of these occupations are especially likely to be categorized as contingent or alternative, so this information is necessary to fully understand the employment experiences of those in art- and culture-related fields. Before July 2023, data on contingent and alternative employment arrangements were collected periodically from February 1995 to May 2017. The concepts and definitions used in the supplement are detailed in the Technical Note in the BLS news release. For more information, see the FAQs on contingent and alternative employment arrangements.

According to a survey conducted in March 2022, Indonesia had the highest contingent workforce adoption in the Asia-Pacific region, as 67 percent of the responding Indonesian companies stated that they hired temporary workers. At 45 percent, South Korea had the region's lowest share of companies offering freelance jobs.

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 shown are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Hispanic origin. Questions pertaining to displaced workers were asked of all persons aged 20 years and over who lost a job involuntarily within the last five years due to operating decisions of a firm, plant, or business in which the worker was employed. Data are provided on reasons for job displacement, industry and occupation of the former job, group health insurance coverage, job tenure, and weekly earnings. Additional data refer to periods of unemployment as well as number of jobs held, use of unemployment benefits, whether residence was changed to seek work in another area, current health insurance coverage, and current weekly earnings. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR02408.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey on the topic of Contingent Employment in the United States, which was administered as a supplement to the February 2005 CPS. In addition to administering the basic CPS, interviewers asked the supplementary questions in three-fourths of the sample households.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, for the week prior to the survey. 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.The Contingent Work Supplement questions were asked of all applicable persons age 15 years and older. The supplement data is comprised of information on contingent or temporary work that a person did without expecting continuing employment from the particular employer they happened to be working for. Also included is information about each worker's expectation of continuing employment, satisfaction with their current employment arrangement, current job history, transition into the current employment arrangement, search for other employment, employee benefits, and earnings. The supplement questions were not asked of unpaid family workers and persons not looking for work (this includes persons not in the labor force and unemployed persons on layoff who are not looking for work). Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income.

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 aged 15 and over. Also shown are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Hispanic origin. The Contingent Work Supplement questions, asked of all applicable persons aged 15 years and older, focused on contingent or temporary work that a person performed without expecting continuing employment from that particular employer. Additional questions covered workers' satisfaction with their current employment arrangements, job history, transition into the current employment arrangement, search for other employment, employee benefits, and earnings. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR06736.v2. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

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 15 years old and over. Also shown are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Hispanic origin. The Contingent Work Supplement questions were asked of all household members aged 15 years or older who had jobs during the reference week and worked for pay or profit or who did not have jobs during the reference week but looked for work during the last year and were available for work during the reference week. The supplement data include information on contingent or temporary work performed without the expectation of continuing employment from an employer. Also included is information about each worker's expectation of continuing employment, satisfaction with his or her current employment arrangement, current job history, transition into the current employment arrangement, search for other employment, employee benefits, and earnings. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR02898.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

The Contract Work Module was designed to improve the information available on contract employment—including independent contractors and contract company workers—by asking questions that address the miscoding and underreporting problems with standard household survey questions. The Upjohn Institute contracted with the Gallup organization to add module questions to the Gallup Education Consumer Pulse Survey, a large, nationally representative telephone survey. Like the Current Population Survey (CPS), the Gallup survey collects employment information for a specified week (the seven days preceding the interview) and is an interviewer-administered survey, rather than an online survey. Unlike the CPS, the Gallup survey does not rely on proxy respondents.The module consists of 14 questions that are interspersed, as appropriate, among the standard employment questions in the Gallup survey. In four cases, respondents were randomly assigned to receive one of two questions versions, which permits testing of the effects of alternate question phrasing on respondent answers.The target population for the Gallup Education Consumer Pulse survey is adults aged 18–64, but during the periods that survey module was in the field, Gallup asked core survey questions together with the module questions of individuals aged 18–80. Gallup administered the module in four waves spread at roughly three-month intervals across a year. In each wave of data collection, Gallup fielded module questions until about 15,000 completed interviews were obtained, roughly a month in each case. The first wave was administered from mid-May through mid-June 2018, the second wave from mid-August through mid-September 2018, the third wave from mid-November through mid-December 2018, and the fourth and final wave from late February through late March 2019. Across the four waves, the survey collected information on contract and informal work from some 61,000 respondents, more than any other household survey that has investigated related topics other than the Contingent Worker Supplement to the CPS.

BackgroundZimbabwe’s tax-based healthcare financing model has been characterised by perennial financing deficits and widespread application of user fees and has thus been socially exclusive. The country’s urban informal sector population is not spared from these challenges. The study explored the potential demand for National Health Insurance (NHI) among respondents from selected urban informal sector clusters of Harare. The following clusters were targeted: Glenview furniture complex, Harare home industries, Mupedzanhamo flea market, Mbare new wholesale market and Mbare retail market.MethodsA cross-sectional survey was administered to 388 respondents from the selected clusters, and data on the determinants of Willingness to Join (WTJ) and Willingness to Pay (WTP) was gathered. Respondents were recruited via a multi-stage sampling procedure. In the first stage, the five informal sector clusters were purposely selected. The second stage involved a proportional allocation of respondents by cluster size. Finally, based on the stalls allocated by municipal authorities in each area, respondents were selected using systematic sampling. The sampling interval (k) was determined by dividing the total number of allocated stalls in a cluster (N) by the sample size proportionate to that cluster (n). For each cluster, the first stall (respondent) was randomly chosen, and thereafter, a respondent from every 10th stall was selected and interviewed at their workplace. Contingent valuation was adopted to elicit WTP. Logit models and interval regression were applied for the econometric analyses.ResultsA total of 388 respondents participated in the survey. The dominant informal sector activity among the surveyed clusters was the sale of clothing and shoes (39.2%), followed by the sale of agricultural products (27.1%). Concerning employment status, the majority were own-account workers (73.1%). Most of the respondents (84.8%) completed secondary school. On monthly income from informal sector activities, the highest frequency (37.1%) was observed in the Zw$(1000 to

BackgroundZimbabwe’s tax-based healthcare financing model has been characterised by perennial financing deficits and widespread application of user fees and has thus been socially exclusive. The country’s urban informal sector population is not spared from these challenges. The study explored the potential demand for National Health Insurance (NHI) among respondents from selected urban informal sector clusters of Harare. The following clusters were targeted: Glenview furniture complex, Harare home industries, Mupedzanhamo flea market, Mbare new wholesale market and Mbare retail market.MethodsA cross-sectional survey was administered to 388 respondents from the selected clusters, and data on the determinants of Willingness to Join (WTJ) and Willingness to Pay (WTP) was gathered. Respondents were recruited via a multi-stage sampling procedure. In the first stage, the five informal sector clusters were purposely selected. The second stage involved a proportional allocation of respondents by cluster size. Finally, based on the stalls allocated by municipal authorities in each area, respondents were selected using systematic sampling. The sampling interval (k) was determined by dividing the total number of allocated stalls in a cluster (N) by the sample size proportionate to that cluster (n). For each cluster, the first stall (respondent) was randomly chosen, and thereafter, a respondent from every 10th stall was selected and interviewed at their workplace. Contingent valuation was adopted to elicit WTP. Logit models and interval regression were applied for the econometric analyses.ResultsA total of 388 respondents participated in the survey. The dominant informal sector activity among the surveyed clusters was the sale of clothing and shoes (39.2%), followed by the sale of agricultural products (27.1%). Concerning employment status, the majority were own-account workers (73.1%). Most of the respondents (84.8%) completed secondary school. On monthly income from informal sector activities, the highest frequency (37.1%) was observed in the Zw$(1000 to

BackgroundZimbabwe’s tax-based healthcare financing model has been characterised by perennial financing deficits and widespread application of user fees and has thus been socially exclusive. The country’s urban informal sector population is not spared from these challenges. The study explored the potential demand for National Health Insurance (NHI) among respondents from selected urban informal sector clusters of Harare. The following clusters were targeted: Glenview furniture complex, Harare home industries, Mupedzanhamo flea market, Mbare new wholesale market and Mbare retail market.MethodsA cross-sectional survey was administered to 388 respondents from the selected clusters, and data on the determinants of Willingness to Join (WTJ) and Willingness to Pay (WTP) was gathered. Respondents were recruited via a multi-stage sampling procedure. In the first stage, the five informal sector clusters were purposely selected. The second stage involved a proportional allocation of respondents by cluster size. Finally, based on the stalls allocated by municipal authorities in each area, respondents were selected using systematic sampling. The sampling interval (k) was determined by dividing the total number of allocated stalls in a cluster (N) by the sample size proportionate to that cluster (n). For each cluster, the first stall (respondent) was randomly chosen, and thereafter, a respondent from every 10th stall was selected and interviewed at their workplace. Contingent valuation was adopted to elicit WTP. Logit models and interval regression were applied for the econometric analyses.ResultsA total of 388 respondents participated in the survey. The dominant informal sector activity among the surveyed clusters was the sale of clothing and shoes (39.2%), followed by the sale of agricultural products (27.1%). Concerning employment status, the majority were own-account workers (73.1%). Most of the respondents (84.8%) completed secondary school. On monthly income from informal sector activities, the highest frequency (37.1%) was observed in the Zw$(1000 to